Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2011 SN - 18650929 ST - 1st International Conference on Computer Science, Engineering and Information Technology, CCSEIT 2011 T3 - Communications in Computer and Information Science TI - 1st International Conference on Computer Science, Engineering and Information Technology, CCSEIT 2011 VL - 204 M4D ID - 617 ER - TY - CONF AB - The proceedings contain 63 papers. The special focus in this conference is on Special Session on Data Processing, Protocols, and Applications in Wireless Sensor Networks. The topics include: Analysis of significance and evolution of co-authorship networks; data pre-processing based on rough sets and the link to other theories; checking the compliance of business processes and business rules using OWL 2 ontology and SWRL; introduction to integration of the process mining to the knowledge framework for software processes; software process resource utilization simulation using CPN; scenario-based evolutionary approach for robust RCPSP; overview, sources, applications and challenges; a systematic review of security in cloud computing; towards a model-based development methodology for evolvable production systems; the using of petri nets for controlling of the embedded device; cattle identification using muzzle images; neuro-fuzzy risk prediction model for computational grids; neuro-fuzzy model for assessing risk in cloud computing environment; the EC sequences on points of an elliptic curve realization using neural networks; researches of algorithm of PRNG on the basis of bilinear pairing on points of an elliptic curve with use of a neural network; a decentralized management approach for on-demand transit transportation system; hybrid metaheuristic to solve the selective multi-compartment vehicle routing problem with time windows; solar power production forecasting based on recurrent neural network; an ICT solution for shared mobility in universities and simulated annealing approach for solving the fleet sizing problem in on-demand transit system. C3 - 2nd International Afro-European Conference for Industrial Advancement, AECIA 2015, September 9, 2015 - September 11, 2015 DA - 2016 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2016 SN - 21945357 SP - 1-706 ST - 2nd International Afro-European Conference for Industrial Advancement, AECIA 2015 T3 - Advances in Intelligent Systems and Computing TI - 2nd International Afro-European Conference for Industrial Advancement, AECIA 2015 VL - 427 ID - 491 ER - TY - CONF AB - The proceedings contain 28 papers. The special focus in this conference is on Applications of Artificial Immune Systems. The topics include: Use of an artificial immune system for job shop scheduling; an artificial immune system for multimodality image alignment; bioinformatics data analysis using an artificial immune network; an investigation of the negative selection algorithm for fault detection in refrigeration systems; immunologic control framework for automated material handling; an immune learning classifier network for autonomous navigation; an artificial immune system approach to mutation testing; memory and selectivity in evolving scale-free immune networks; biomolecular immunocomputing; signal processing by an immune type tree transform; index design by immunocomputing; immune-based framework for exploratory bio-information retrieval from the semantic web; an artificial immune system approach to semantic document classification; a danger theory inspired approach to web mining; meta-stable memory in an artificial immune network; improved pattern recognition with artificial clonal selection; inspirations from the danger theory; artificial immune systems and the grand challenge for non-classical computation; implications for immune network models and clonal selection; revisiting the foundations of artificial immune systems and complementary dual detectors for effective classification. C3 - 2nd International Conference on Artificial Immune Systems, ICARIS 2003, September 1, 2003 - September 3, 2003 DA - 2003 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2003 SN - 03029743 SP - 1-298 ST - 2nd International Conference on Artificial Immune Systems, ICARIS 2003 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 2nd International Conference on Artificial Immune Systems, ICARIS 2003 VL - 2787 ID - 563 ER - TY - CONF AB - The proceedings contain 213 papers. The special focus in this conference is on Mechatronics and Industrial Informatics. The topics include: experimental study on the transverse stiffness of WJ-8 rail fastening; research on modeling and characteristics of two-stage pressure hydro-pneumatic spring; study on torsion-eliminating performance of laterally interconnected air suspension; simulation on kinetic characteristics of moving mooring marine current turbine system; situation of natural gas hydrate research; equipment modification for friction stir joining based on PLC; the improved design of embedded CNC milling machine; the design and calculation of fur material cleaning machine; the semi-automatic restoration of regular paper fragments; analysis of the ceramic pattern modelling based on primitives; research and application of adaptive technology in equipment installation; design of mine ventilator fault diagnosis system; nonlinear econometric model of electronic products and its application; the research on cloud mobile office system development for enterprise application; using verification planner to track the verification process; research of refined oil emergency reserve monitoring system construction scheme; an algorithm for representing planar curves in B-splines; fuzzy comprehensive assessment of air material suppliers; mixed NMF blind source separation algorithm; rough match function based on topological structure; the effect of empathic technology on artificial intelligence; research of smart home system based on handheld device; rapidly analyze the fault tree with numerical methods; research of differential evolution algorithm for motor control; hybrid intelligent optimization approach for RFID network planning; the prediction of grounding grid corrosion rate using optimized RBF network; web page ranking algorithm based on the meta-information; a novel HOG descriptor with spatial multi-scale feature for FER; An image de-noising algorithm based on K-SVD and BM3D; an image retrieval algorithm based on region segmentation; design and implementation of safety lock based on face recognition; lane mark identifying and tracking base on edge enhancement; research on scene organize algorithm based on BVH with dynamic rendering tree; study of video object detection and shadow suppression algorithms; a content based image retrieval model using feature space dividing; an improved moving object tracking method based on graph cuts; research on lossless predictive coding methods for stereo images; classified quantization research on dot gain characteristic; a recognition method of license plate number based on BP neural network; pitch detection method based on morphological filtering; LED-based 3-DMD volumetric 3D display; study on architecture of measurement of multi-points strain of hinge sleeve of cubic press under super-high pressure; measuring device for the moment of human aspects; road roughness measurement and analysis for vehicle bench test; application of mobile data acquisition technology in highway lightning protection; trusted data aggregation with low energy in wireless sensor networks; the research on sensor fault diagnosis based on the SVM prediction model; design and applications of embedded system in video surveillance; analysis and design of a capacitive sensor for measuring thickness; application of the flexible brake on wind driven generator; the facilities vegetables warning and control system based on mobile phone SMS; the sliding mode variable structure control method for brushless DC motors; time domain simulation for a 6 DOF tanker model in presence of waves; numerical simulation of seismic wave propagation in different media; new control topology for railway static power conditioner; the integrated automation solutions research of Zhengzhou North Station; dynamic economic dispatch based on improved particle swarm optimization; unbalanced power allocation method to the research of the influence of the power system trend; research for short-term load forecasting based on linearization meteorol gical factors; design of active filter based on the active power balance; performance analysis of simulation of pedestrian traffic inside the hub; research based on fuzzy control of electric power steering system; apply the damaged road data for driving simulator; coordinated charging of EVs based on demand-side management; design and implementation of USB coordinator based on Z-stack; simulation on PAPR suppression algorithm for multicarrier system; equivalent electromagnetic properties of composite media; an evolving GPSR protocol in urban roundabout scenario; complex network evolution model based on node attraction; QoS routing protocol based on resource optimization for aerospace networks; a new method for high speed CAN protocol conversion circuit; implementation of USB in embedded systems based on ARM microprocessor; design and implementation of university parking query system; a discussion on the electromagnetic compatibility of data center; design and implementation of a new CNG dispenser control platform; applying improved clustering algorithm into EC environment data mining; the research of digital challenge to tourism destination brand; IOT application research between digital publishing and traditional publishing; analysis on development and application of online customized tour; advances in online authority research; research and implementation of curriculum-oriented knowledge learning platform; the research on construction of open hierarchical practical teaching system; research of neuroergonomics experimental teaching system in industrial engineering; construct the virtual gram stain experiment platform based on 3DMax and VRP; supplier selection model of college materials procurement; research on the end-to-end modularity process for manufacturing enterprise and SWOT analysis of Chinese rural information society policies. C3 - 2nd International Conference on Mechatronics and Industrial Informatics, ICMII 2014, May 30, 2014 - May 31, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Trans Tech Publications Ltd PY - 2014 SN - 16609336 SP - Hong-Kong Industrial Technology Research Centre; Inha University; Korea Maritime University ST - 2nd International Conference on Mechatronics and Industrial Informatics, ICMII 2014 T3 - Applied Mechanics and Materials TI - 2nd International Conference on Mechatronics and Industrial Informatics, ICMII 2014 VL - 596 ID - 619 ER - TY - CONF AB - The proceedings contain 22 papers. The special focus in this conference is on Programming Languages and Meta Object Protocols. The topics include: Reflection in real-time systems; the evolution of a reflective java extension; behavioral reflection can be fast and flexible; the oberon-2 reflection model and its applications; designing persistence libraries in reflective models with intercession property for a client-server environment; non-functional policies; on the reflective structure of information networks; reflective media space management using RASCAL; the design of a resource-aware reflective middleware architecture; a formal analysis of smithsonian computational reflection; reflection for dynamic adaptability; towards systematic synthesis of reflective middleware; an automatic aspect weaver with a reflective programming language; using compile-time reflection for objects state capture; past, present, and future of aperios; reflecting java into scheme; a reflective java library to support design by contract and a reflective open broker. C3 - 2nd International Conference on Meta-Level Architectures and Reflection, Reflection 1999, July 19, 1999 - July 21, 1999 DA - 1999 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 1999 SN - 03029743 SP - 1-272 ST - 2nd International Conference on Meta-Level Architectures and Reflection, Reflection 1999 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 2nd International Conference on Meta-Level Architectures and Reflection, Reflection 1999 VL - 1616 ID - 1741 ER - TY - CONF AB - The proceedings contain 51 papers. The special focus in this conference is on Exploratory Data Analysis, Preprocessing and Tools. The topics include: Intelligent data analysis; decomposition of heterogeneous classification problems; managing dialogue in a statistical expert assistant with a cluster-based user model; data classification using a W.I.S.E. toolbox; integrating many techniques for discovering structure in data; meta-reasoning for data analysis tool allocation; navigation for data analysis systems; an annotated data collection system to support intelligent analysis of intensive care unit data; a combined approach to uncertain data analysis; a connectionist approach to the distance-based analysis of relational data; efficient GA based techniques for automating the design of classification models; data representations and machine learning techniques; development of a knowledge-driven constructive induction mechanism; oblique linear tree; feature selection for neural networks through functional links found by evolutionary computation; exploiting symbolic learning in visual inspection; forming categories in exploratory data analysis and data mining; a systematic description of greedy optimisation algorithms for cost sensitive generalisation; dissimilarity measure for collections of objects and values; ECG segmentation using time-warping; interpreting longitudinal data through temporal abstractions; intelligent support for multidimensional data analysis in environmental epidemiology; network performance assessment for neurofuzzy data modelling; a genetic approach to fuzzy clustering with a validity measure fitness function; the analysis of artificial neural network data models; simulation data analysis using fuzzy graphs and mathematical analysis of fuzzy classifiers. C3 - 2nd International Symposium on Intelligent Data Analysis, IDA 1997, August 4, 1997 - August 6, 1997 DA - 1997 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 1997 SN - 03029743 SP - 1-620 ST - 2nd International Symposium on Intelligent Data Analysis, IDA 1997 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 2nd International Symposium on Intelligent Data Analysis, IDA 1997 VL - 1280 ID - 1085 ER - TY - CONF AB - This paper presents a new method for multiple regressor combination called 3-Functions Meta-Learner. The proposed technique improves the prediction performance of a given regressor by generating two additional regressors and an internal model that learns the weight of each output. The suggested model is able to explain the data in terms of its membership to three weak regression models and preserves the interpretability level of the original model. The experimental results suggest that the 3-Functions Meta-Learning algorithm outperforms Bagging and AdaBoots.R2 when the initial regressor is a weak and stable learner. AU - Becerra, Claudia J. AU - Jimenez, Sergio G. AU - Gonzalez, Fabio A. C3 - 2008 International Conference on Data Mining, DMIN 2008, July 14, 2008 - July 17, 2008 DA - 2008 KW - image coding Information Management Learning algorithms Mixtures Regression Analysis Robot learning N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - CSREA Press PY - 2008 SP - 130-136 ST - 3-Functions meta-learner algorithm: A mixture of experts technique to improve regression models T3 - Proceedings of the 2008 International Conference on Data Mining, DMIN 2008 TI - 3-Functions meta-learner algorithm: A mixture of experts technique to improve regression models ID - 1546 ER - TY - CONF AB - The proceedings contain 62 papers. The special focus in this conference is on Formal Methods, Social Knowledge, Ontologies, Planning, Evolution and Emergent Behavior. The topics include: Modal structure for agents interaction based on concurrent actions; self-synchronization of cooperative agents in a distributed environment; a compositional model of multiagent interaction; abstract architecture for meta-reasoning in multi-agent systems; balancing individual capabilities and social peer pressure for role adoption; from social agents to multi-agent systems; DAML-based policy enforcement for semantic data transformation and filtering in multi-agent systems; conversation mining in multi-agent systems; ontology of cooperating agents by means of knowledge components; mapping between ontologies in agent communication; a formal specification language for agent conversations; framework for multi-agent planning based on hybrid automata; multi-agent system for resource allocation and scheduling; towards autonomous decision making in multi-agent environments using fuzzy logic; towards an object oriented implementation of belief-goal-role multi-agent systems; implementation and case study for coalition operations; learning user preferences for multi-attribute negotiation; a model of co-evolution in multi-agent system; on a dynamical analysis of reinforcement learning in games; forgiveness in strategies in noisy multi-agent environments; an unified framework for programming autonomous, intelligent and mobile agents; tailoring an agent architecture to a flexible platform suitable for cooperative robotics; agent oriented software engineering with INGENIAS; engineering a protocol server using strategy-agents and modeling and simulation of coordinated distributed attacks on computer networks. C3 - 3rd International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2003, June 16, 2003 - June 18, 2003 DA - 2003 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2003 SN - 03029743 SP - 1-659 ST - 3rd International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2003 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 3rd International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2003 VL - 2691 ID - 558 ER - TY - CONF AB - The proceedings contain 70 papers. The special focus in this conference is on eHealth, Next generation sequencing and sequence analysis, Quantitative and systems pharmacology, Hidden markov model (HMM) for biological sequence modeling, Advances in computational intelligence for bioinformatics and biomedicine and Tools for next generation sequencing data analysis. The topics include: e-health informed foreign patient and physician communication; empirical analysis of the effect of eHealth on medical expenditures of patients with chronic diseases; impact of health apps in health and computer science publications. a systematic review from 2010 to 2014; local search for multi objective multiple sequence alignment; alignment free frequency based distance measures for promoter sequence comparison; energy-efficient architecture for DP local sequence alignment; successes and pitfalls in scoring molecular interactions; the use of random forest to predict binding affinity in docking; strong inhomogeneity in triplet distribution alongside a genome; predicting sub-cellular location of proteins based on hierarchical clustering and hidden markov models; risk quantification of multigenic conditions for SNP array based direct-to-consumer genomic services; computational inference in systems biology; a price we pay for inexact dimensionality reduction; DEgenes hunter - a self-customised gene expression analysis workflow for non-model organisms; bioinformatics analyses to separate species specific mrnas from unknown sequences in de novo assembled transcriptomes; evaluation of combined genome assemblies; nucleotide sequence alignment and compression via shortest unique substring and modeling of the urothelium with an agent based approach. C3 - 3rd International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015, April 15, 2015 - April 17, 2015 DA - 2015 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 1-733 ST - 3rd International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 3rd International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015 VL - 9044 ID - 504 ER - TY - CONF AB - The proceedings contain 459 papers. The special focus in this conference is on Structural Engineering, Monitoring and Control of Structures, Structural Rehabilitation, Retrofitting and Strengthening, Reliability and Durability of Structures. The topics include: Analysis on determining factors of regional construction land carbon emissions; based on the land resources reuse under the condition of projects benefit analysis; paradigm analysis and guidance of island commercial settlements - a case study of work-living settlements in zhoushan island; building sustainable communities in China - status and outlook; analysis of landscape space meta-structure in regional settlement; applications of GIS in regional planning; attractiveness of the area in the context of individual housing; fuzzy evaluation method of sustainable development of mining area; residential differentiation research in Guangzhou; the initial study of evaluation system in hot-summer and warm-winter region; management of the investment potential of sustainable development of the city; a survey on development of energy service industry in Zhejiang China; study on urban sustainable development based on system dynamics; the measure index system and evaluation research of new-type urbanization; from disordering center competition to space cooperation; a solar-powered in-vehicle semiconductor refrigeration system; mechanical and thermal properties of liquefied corn bran-based epoxy resins; study on cost of green building based on the life cycle theory; the solar energy-air source heat pump was applied to the hot water system; insulation design for non-heated stairwells of residences in severe cold zones; application of BIM technology on energy efficiency building design; photovoltaic architectural shadow and a case analysis; review on phase change material storage in solar energy application; automated calculation of solar electricity systems in Russia as an example of the Moscow region; the research of test on load-bearing capacity of the new energy-saving panels; energy saving renovation of existing buildings on campus sunshade design; the agglomeration effect of Chinese wind power industry and empirical study; a field study on thermal comfort of traditional metal processing factories; air age equation parameterized by ventilation grouped time; medical space oriented color psychology perception model; numerical research on indoor wind environment of green building; the indoor greening design practices; the determination and analysis of volatile organic compounds in public buildings; reduce haze and improve urban and rural construction; noise influence and prevention treatment of residential buildings near highway; rural community environmental health evaluation empirical study; PCBs in soils around an old electric transformer factory in North China; condition of road infrastructure related with regional development; application of natural zeolites for aquatic and air medium purification; numerical simulation of dissolved oxygen transfer in an aerated pond; development of network pressure-superposed secondary water purification; removal of geosmin by powered activated carbon as an emergency method; information technologies in view of complex solution of waste water problems; discussion of treatment of wastewater and sludge from viscose industry; application and development of artificial floating island technology; a review of research development of ventilated double-skin facade; green building development features in China; diffusion model of atmospheric fine particles PM2.5 under the direction of the wind; optimization and selection of automatic monitoring indicators in beer manufacturing; research of antibiotics pollution in soil environments and theirs biological degradation; study on plant-microbial remediation of antibiotic and heavy metal contaminated soil; the exploration of public participation mechanism in ecological civilization construction; the summarized study of heavy metal pollution in the city soil; marine environment impact analysis and c untermeasures on sea water utilization project; simulation of final cover systems in mitigating landfill gas migration; the analysis of the characteristics and the research status of the recycled concrete; a southern highway asphalt pavement analysis and treatment of water damage; study on the bearing capacity test for the saline soil soft ground; the study on a new composite road panel structure; study of static mechanical properties of Aeolian sand; the different pavement structure combination shear stress analyze; acoustic models for dense- and open-graded asphalt pavement; research on evaluation method of asphalt pavement crack treatment; time-domain simulation of high-speed railway track irregularity; evaluation segregation of SMA-13 asphalt pavement by compactness; precast pavement smoothness control method; effect of reinforcing the base of pavement with steel geogrid; experimental study on the reinforcement treatment of saline soil subgrade; key construction technology of porous concrete permeable base; newly-constructed cement concrete pavement crack renovation technique; case study on composite bridge pier construction method; research on maintenance and repair technology of the continuous welded railway in plateau permafrost region; review on nanomodified asphalt; specific study of airport pavement asphalt mixture; study on factors for determination of highway subgrade height; study on the effect of WMA additive to the asphalt technical properties; the application of discrete element method on asphalt mixture; the influence of coarse and fine ratio on ATB asphalt mixture performance; study on water stability improvement of granite asphalt mixture; the fatigue test of railway rail fastener assemblies; research on numerical simulation of roadway deformation under the influence of mining; study on low temperature performance of SBS modified asphalt and its mixture; mechanical properties of wood and timber bridge evaluation; study on the vehicle load of highway bridge based on measured data; application of stress-free status control method in bridge construction control; research status of FRP-concrete composite beam/bridge deck systems; on the development and innovation of modern suspension bridge in China; the application of pushover method in complex bridge seismic design; research on skew coefficient for stresses of skewly supported three-span continuous box girders; design of an experimental prestressed arch pedestrian bridge made of UHPC; dynamic analysis and test validation for continuous girder bridge; impact response spectrum for design of ship-bridge collisions; optimization of cable force of extradosed bridges; practical calculation of cable-stayed arch bridge lateral stability; reliability analysis of half-through concrete-filled steel tubular arch bridge; study on the durability of coastal area bridge; design of an experimental tensegrity pedestrian bridge; transverse ribs affect the stability of steel-concrete composite box beams; simulation analysis on construction of Liangjiang great bridge; research on CWR design on steel-concrete composite beam bridge in alpine region; a new decision support methodology for subway operation management; evaluation model of road network vulnerability and its genetic algorithm solution; the integrated berth and quay crane scheduling problem in container terminals; traffic demand model to study urban agglomeration transportation system; a method of bike sharing demand forecasting; on urban transportation planning in an information society; on urban transportation planning in an information society; study on the bike path width considering the electric bike; adaptive reliable shortest path in discrete stochastic networks; freight vehicles regulatory assistance system based on internet of things; research of cluster supply chain network for its optimal control by SOA technology; research on supply chain network system based on industrial cluster; study on the index system of urban rail transit and bus network integration; optimizing supply and demand in coal logistics etworks; research on traffic flow characteristics of urban expressway; analysis of the impact of fog on expressway vehicle speed; traffic speed time series short term forecasting using aggregated model; study of dynamic adjustment to the freeway entrance ramp based on VISSIM; design of a warning system for pedestrians and non-motorized vehicles; research on the calculation model of signal intersection delay; research on applications of grid technology in railway information service; a survey on awareness of traffic signs among youth in Qatar; power quality problems and their monitoring of urban rail transit; security design in Tianjin city expressway entrances and exits; the research on urban rail transit ticket pricing based on system dynamics; an analysis on common overload traffic disease and treatment; Nash equilibrium analysis based on a generalized travel cost; impact analysis of different bus lane layout form to traffic efficiency; application study of green building based on BIM technology; on equilibrium for abstract economies in GFC-spaces; improved global harmony search algorithm for numerical optimization; study on the fitting methods of the polyworks software; the stability analysis for a kind of functional differential equations and analysis on non-center cloud storage architecture of gluster. C3 - 4th International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2014, May 24, 2014 - May 25, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Trans Tech Publications Ltd PY - 2014 SN - 16609336 ST - 4th International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2014 T3 - Applied Mechanics and Materials TI - 4th International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2014 VL - 587-589 ID - 526 ER - TY - CONF AB - The proceedings contain 49 papers. The special focus in this conference is on Application of Discovery to Natural Science, Knowledge Discovery from Unstructured and Semi-structured Data. The topics include: Mathematics based on learning; data mining with graphical models; on the eigenspectrum of the gram matrix and its relationship to the operator eigenspectrum; in search of the horowitz factor; learning structure from sequences, with applications in a digital library; discovering frequent structured patterns from string databases; discovery in hydrating plaster using machine learning methods; revising qualitative models of gene regulation; structure extraction using summaries; model complexity and algorithm selection in classification; experiments with projection learning; improved dataset characterisation for meta-learning; racing committees for large datasets; from ensemble methods to comprehensible models; learning the causal structure of overlapping variable sets; extraction of logical rules from data by means of piecewise-linear neural networks; structuring neural networks through bidirectional clustering of weights; toward drawing an atlas of hypothesis classes; datascape survey using the cascade model; learning hierarchical skills from observation; image analysis for detecting faulty spots from microarray images; inferring gene regulatory networks from time-ordered gene expression data using differential equations; modeling state transition of typhoon image sequences by spatio-temporal clustering; structure-sweetness relationships of aspartame derivatives by GUHA; a hybrid approach for Chinese named entity recognition; extraction of word senses from human factors in knowledge discovery; event pattern discovery from the stock market bulletin and email categorization using fast machine learning algorithms. C3 - 5th International Conference on Discovery Science, DS 2002, November 24, 2002 - November 26, 2002 DA - 2002 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2002 SN - 03029743 SP - 1-462 ST - 5th International Conference on Discovery Science, DS 2002 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 5th International Conference on Discovery Science, DS 2002 VL - 2534 ID - 614 ER - TY - CONF AB - The proceedings contain 63 papers. The special focus in this conference is on Web Mining, Text Mining, Concept Hierarchies, Feature Selection and Interestingness. The topics include: Seamless integration of data mining with DBMS and applications; empirical study of recommender systems using linear classifiers; discovery of frequent tree structured patterns in semistructured web documents; text categorization using weight adjusted k-nearest neighbor classification; meta-learning models for automatic textual document categorization; effcient algorithms for concept space construction; topic detection, tracking, and trend analysis using self-organizing neural networks; automatic hypertext construction through a text mining approach by self-organizing maps; semantic expectation-based causation knowledge extraction; determining progression in glaucoma using visual fields; on application of rough data mining methods to automatic construction of student models; representing large concept hierarchies using lattice data structure; feature selection for temporal health records; boosting the performance of nearest neighbour methods with feature selection; efficient mining of niches and set routines; peculiarity oriented mining and its application for knowledge discovery in amino-acid data; mining sequence patterns from wind tunnel experimental data for flight control; scalable hierarchical clustering method for sequences of categorical values; sequential index structure for content-based retrieval; temporal data mining using hidden Markov-local polynomial models; patterns discovery based on time-series decomposition; criteria on proximity graphs for boundary extraction and spatial clustering and mining optimal class association rule set. C3 - 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001, April 16, 2001 - April 18, 2001 DA - 2001 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2001 SN - 03029743 SP - 1-593 ST - 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2001 VL - 2035 ID - 1685 ER - TY - JOUR AB - Health impact assessment (HIA), a methodology that aims to facilitate the mitigation of negative and enhancement of positive health effects due to projects, programmes and policies, has been developed over the past 20-30 years. There is an underlying assumption that HIA has become a full fledged critical piece of the impact assessment process with a stature equal to both environmental and social impact assessments. This assumption needs to be supported by evidence however. Within the context of projects in developing country settings, HIA is simply a slogan without a clearly articulated and relevant methodology, offered by academia and having little or no salience in the decision-making process regarding impacts. This harsh assertion is supported by posing a simple question: "Where in the world have HIAs been carried out?" To answer this question, we systematically searched the peer-reviewed literature and online HIA-specific databases. We identified 237 HIA-related publications, but only 6% of these publications had a focus on the developing world. What emerges is, therefore, a huge disparity, which we coin the 6/94 gap in HIA, even worse than the widely known 10/90 gap in health research (10% of health research funding is utilized for diseases causing 90% of the global burden of disease). Implications of this 6/94 gap in HIA are discussed with pointed emphasis on extractive industries (oil/gas and mining) and water resources development. We conclude that there is a pressing need to institutionalize HIA in the developing world, as a consequence of current predictions of major extractive industry and water resources development, with China's investments in these sectors across Africa being particularly salient. 2007 Elsevier Inc. All rights reserved. AU - Erlanger, Tobias E. AU - Krieger, Gary R. AU - Singer, Burton H. AU - Utzinger, Jurg DA - 2008 DO - 10.1016/j.eiar.2007.07.003 IS - 4-5 J2 - Environmental Impact Assessment Review KW - decision making developing countries Environmental impact Health care Investments public policy Water resources L1 - internal-pdf://4063734422/Erlanger-2008-The 6_94 gap in health impact as.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2008 SN - 01959255 SP - 349-358 ST - The 6/94 gap in health impact assessment T2 - Environmental Impact Assessment Review TI - The 6/94 gap in health impact assessment UR - http://dx.doi.org/10.1016/j.eiar.2007.07.003 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0195925507001291/1-s2.0-S0195925507001291-main.pdf?_tid=4f306a18-8333-11e6-b456-00000aab0f6b&acdnat=1474816887_fe76aa2f1da5c1fbadc719844e47a567 VL - 28 ID - 467 ER - TY - CONF AB - The proceedings contain 32 papers. The special focus in this conference is on Data Mining, Knowledge Discovery, Mobile Databases, Spatiotemporal and Spatial Databases. The topics include: Privacy and security in asp and web service environments; an axiomatic approach to defining approximation measures for functional dependencies; intelligent support for information retrieval in the www environment; an approach to improve text classification efficiency; semantic similarity in content-based filtering; data access paths for frequent itemset discovery; monitoring continuous location queries using mobile agents; optimistic concurrency control based on timestamp interval for broadcast environment; a flexible personalization architecture for wireless internet based on mobile agents; approximate algorithms for distance-based queries in high-dimensional data spaces using r-trees; efficient similarity search in feature spaces with the q-tree; spatio-temporal geographic information systems; an access method for integrating multi-scale geometric data; OLAP query evaluation in a database cluster; a framework to analyse and evaluate information systems specification languages; a semantic query optimization approach to optimize linear datalog programs; a meta model for structured workflows supporting workflow transformations; towards an exhaustive set of rewriting rules for Xquery optimization; architecture of a blended-query and result-visualization mechanism for web-accessible databases and associated implementation issues; accommodating changes in semistructured databases using multidimensional OEM; towards variability modelling for reuse in hypermedia engineering and complex temporal patterns detection over continuous data streams. C3 - 6th East European Conference on Advances in Databases and Information Systems, ADBIS 2002, September 8, 2002 - September 11, 2002 DA - 2002 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2002 SN - 03029743 SP - 1-414 ST - 6th East European Conference on Advances in Databases and Information Systems, ADBIS 2002 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 6th East European Conference on Advances in Databases and Information Systems, ADBIS 2002 VL - 2435 ID - 683 ER - TY - CONF AB - The proceedings contain 32 papers. The topics discussed include: prognostic prediction using clinical expression time series: towards a supervised learning approach based on meta-biclusters; parallel e-CCC-biclustering: mining approximate temporal patterns in gene expression time series using parallel biclustering; parameter influence in genetic algorithm optimization of support vectormachines; biological knowledge integration in DNA microarray gene expression classification based on rough set theory; quantitative assessment of estimation approaches for mining over incomplete data in complex biomedical spaces: a case study on cerebral aneurysms; case-based reasoning to classify endodontic retreatments; a comparative analysis of balancing techniques and attribute reduction algorithms; sliced model checking for phylogenetic analysis; and a systematic approach to the interrogation and sharing of standardized biofilm signatures. C3 - 6th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB'12, March 28, 2012 - March 30, 2012 DA - 2012 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2012 SN - 18675662 SP - IEEE-Systems, Man and Cybernetics Society; Centre National de la Recherche Scientifique (CNRS); Plate-forme AFIA 2001; Asociacion Espanola de Inteligencia Artificial (AEPIA); Associacao Portuguesa Para a Inteligencia Artificial (APPIA) ST - 6th International Conference on Practical Applications of Computational Biology and Bioinformatics T3 - Advances in Intelligent and Soft Computing TI - 6th International Conference on Practical Applications of Computational Biology and Bioinformatics VL - 154 AISC ID - 535 ER - TY - CONF AB - The proceedings contain 37 papers. The special focus in this conference is on Knowledge Discovery, Information Retrieval, Knowledge Engineering and Ontology Development. The topics include: Efficient discovery of episode rules with a minimal antecedent and a distant consequent; URL-based web page classification; exploiting guest preferences with aspect-based sentiment analysis for hotel recommendation; iterative refining of category profiles for nearest centroid cross-domain text classification; cluster summarization with dense region detection; content-based news recommendation; techniques for processing LSI queries incorporating phrases; determining the relative importance of webpages based on social signals using the social score and the potential role of the social score in an asynchronous social search engine; a novel knowledge-based architecture for concept mining on italian and english texts; a generic and declarative method for symmetry breaking in itemset mining; enhancing online discussion forums with topic-driven content search and assisted posting; random perturbations of term weighted gene ontology annotations for discovering gene unknown functionalities; building MD analytical stars using a visual linked data query builder; modeling sentiment polarity with meta-features to achieve domain-independence; an improved string similarity measure based on combining information-theoretic and edit distance methods; named entity recognition from financial press releases; a new similarity measure for an ontology matching system; techniques for merging upper ontologies; ontological support for modelling planning knowledge; extending ontological categorization through a dual process conceptual architecture and multiple dimensions to data-driven ontology evaluation. C3 - 6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2014, October 21, 2014 - October 24, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2014 SN - 18650929 SP - 1-620 ST - 6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2014 T3 - Communications in Computer and Information Science TI - 6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2014 VL - 553 ID - 546 ER - TY - CONF AB - The proceedings contain 39 papers. The special focus in this conference is on Specialized Decision Techniques for Data Mining, Transportation, Project Management and Pattern Recognition for Decision Making Systems. The topics include: An approach for designing order size dependent lead time models for use in inventory and supply chain management; clique editing to support case versus control discrimination; solving technician and task scheduling problems with an intelligent decision heuristic; scheduling system for multiple unmanned aerial vehicles in indoor environments using the CSP approach; an ontology supporting multiple-criteria decision analysis method selection; a hybrid approach to decision support for resource-constrained scheduling problems; prediction of length of hospital stay in preterm infants a case-based reasoning view; the shapley value on a class of cooperative games under incomplete information; modeling and property analysis of e-commerce logistics supernetwork; maximum lifetime problem in sensor networks with limited channel capacity; statistical method for the problem of bronchopulmonary dysplasia classification in pre-mature infants; the rank reversals paradox in management decisions; toward a conversation partner agent for people with aphasia; intelligent monitoring of complex discrete-event systems; probabilistic ontology definition meta-model; development aid decision making framework based on hybrid MCDM; measuring quality of decision rules through ranking of conditional attributes; greedy algorithm for optimization of association rules relative to length; PLA based strategy for solving MRCPSP by a team of agents and an improved agent-based approach to the dynamic vehicle routing problem. C3 - 8th KES International Conference on Intelligent Decision Technologies, KES-IDT 2016, June 15, 2016 - June 17, 2016 DA - 2016 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Science and Business Media Deutschland GmbH PY - 2016 SN - 21903018 SP - 1-471 ST - 8th KES International Conference on Intelligent Decision Technologies, KES-IDT 2016 T3 - Smart Innovation, Systems and Technologies TI - 8th KES International Conference on Intelligent Decision Technologies, KES-IDT 2016 VL - 56 ID - 772 ER - TY - CONF AB - The proceedings contain 71 papers. The special focus in this conference is on Artificial Intelligence Applications and Innovations. The topics include: Trust, reputation, and risk in cyber physical systems; voting advice applications: missing value estimation using matrix factorization and collaborative filtering; a personalized location aware multi-criteria recommender system based on context-aware user preference models; a dynamic web recommender system using hard and fuzzy K-modes clustering; exploiting machine learning for predicting nodal status in prostate cancer patients; autoregressive model order estimation criteria for monitoring awareness during anaesthesia; a machine-learning approach for the prediction of enzymatic activity of proteins in metagenomic samples; modeling health diseases using competitive fuzzy cognitive maps; automated scientific assistant for cancer and chemoprevention; task allocation strategy based on variances in bids for large-scale multi-agent systems; MOEA/D for a tri-objective vehicle routing problem; automatic exercise generation in Euclidean geometry; a cloud adoption decision support model using influence diagrams; human-like agents for a Smartphone first person shooter game using crowdsourced data; developing an electron density profiler over Europe based on space radio occultation measurements; fuzzy classification of Cyprus urban centers based on particulate matter concentrations; robots that stimulate autonomy; simulation of a motivated learning agent; autonomous navigation applying dynamic-fuzzy cognitive maps and fuzzy logic; induction motor control using two intelligent algorithms analysis; a long-range self-similarity approach to segmenting DJ mixed music streams; real time indoor robot localization using a stationary fisheye camera; artificial neural network approach for land cover classification of fused hyperspectral and lidar data; a linear multi-layer perceptron for identifying harmonic contents of biomedical signals; texture analysis in ultrasound images of carotid plaque components of asymptomatic and symptomatic subjects; integrated system for the complete segmentation of the common carotid artery bifurcation in ultrasound images; diagnostic feature extraction on osteoporosis clinical data using genetic algorithms; gene prioritization for inference of robust composite diagnostic signatures in the case of melanoma; on centered and compact signal and image derivatives for feature extraction; detecting architectural distortion in mammograms using a Gabor filtered probability map algorithm; breast cancer detection in mammogram medical images with data mining techniques; transductive conformal predictors; conformal prediction under hypergraphical models; defensive forecast for conformal bounded regression; learning by conformal predictors with additional information; conformity-based transfer adaboost algorithm; enhanced conformal predictors for indoor localisation based on fingerprinting method; local clustering conformal predictor for imbalanced data classification; osteoporosis risk assessment with well-calibrated probabilistic outputs; defining key performance indicators for evaluating the use of high definition video-to-video services in ehealth; a novel rate-distortion method in 3D video capturing in the context of high efficiency video coding (HEVC) in intelligent communications; gene expression programming and trading strategies; kalman filter and SVR combinations in forecasting us unemployment; particle swarm optimization approach for fuzzy cognitive maps applied to autism classification; fuzzy cognitive maps with rough concepts; intelligent systems applied to the control of an industrial mixer; training fuzzy cognitive maps using gradient-based supervised learning; an approach to hotel services dynamic pricing based on the Delphi method and fuzzy cognitive maps; self-tuning pi controllers via fuzzy cognitive maps; concept by concept learning of fuzzy cognitive maps; a fuzzy cognitive map model for estimating the repercussions of Greek PSI on Cypriot bank br nches in Greece; a matlab-CONTAM toolbox for contaminant event monitoring in intelligent buildings; EWMA based two-stage dataset shift-detection in non-stationary environments; a neuro-evolutionary ensemble for adaptive learning; exploring semantic mediation techniques in feedback control architectures; systems engineering for assessment of virtual power system implementations; design of attack-aware WDM networks using a meta-heuristic algorithm; exploring artificial intelligence utilizing bioart and ethical issues in neuroinformatics. C3 - 9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2013, September 30, 2013 - October 2, 2013 DA - 2013 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer New York PY - 2013 SN - 18684238 SP - IFIP;-Cyprus University of Technology; Frederick University, Cyprus; Royal Holloway, University of London; Cyprus Tourism Organization ST - 9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2013 T3 - IFIP Advances in Information and Communication Technology TI - 9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2013 VL - 412 ID - 624 ER - TY - CONF AB - The proceedings contain 43 papers. The special focus in this conference is on Design Science Research, Meta Perspectives, Data Mining, Emerging Themes, Design Practice and Design Thinking. The topics include: Designing an enterprise social questions and answers site to enable scalable user-to-user support; information system design space for sustainability; design and evaluation of an art based information system to improve indoor air quality at schools; designing a report recommendation assistant; communication artifacts for requirements engineering; proposal for requirements driven design science research; a postmodern perspective on socio-technical design science research in information systems; a visual tool for influence-based twitter browsing; a continuous Markov-chain model of data quality transition; enabling reproducible sentiment analysis; improving customer centric design for self-service predictive analytics; projecting the future for design science research; transferring continuous auditing issues to a gradual methodology; secondary data analysis in design science research; mobile application for business process modeling; a prototype for supporting novices in collaborative business process modeling using a tablet device; a framework of collaborative IT-tools for heterogeneous groups of learners; designing a market research game to gain better insights into purchase decision processes; promoting community engagement and collaboration for a sustainable future; a process guidance system for IT service management; guidelines for establishing instantiation validity in IT artifacts and impact of text mining application on financial footnotes analysis. C3 - 10th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2015, May 20, 2015 - May 22, 2015 DA - 2015 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 1-505 ST - 10th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2015 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 10th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2015 VL - 9073 ID - 766 ER - TY - CONF AB - The proceedings contain 144 papers. The special focus in this conference is on Support Tools, Performance Evaluation, Scheduling, Load Balancing and Compilers for High Performance. The topics include: An approach based on components, web services and workflow tools; some techniques for automated, resource-aware distributed and mobile computing in a multi-paradigm programming system; support tools and environments; efficient pattern search in large traces through successive refinement; adaptive control system with hardware performance counters; a tool for source-to-source transformations and real-life compiler tests; a time-coherent model for the steering of parallel simulations; dynamic performance tuning environment; imprecise exceptions in distributed parallel components; a data structure oriented monitoring environment for Fortran openMP programs; an approach for symbolic mapping of memory references; evaluating openMP performance analysis tools with the apart test suite; understanding the behavior and performance of non-blocking communications in MPI; generation of simple analytical models for message passing applications; parallel peps tool performance analysis using stochastic automata networks; scheduling under conditions of uncertainty; scheduling tasks sharing files from distributed repositories; lookahead scheduling for reconfigurable grid systems; more legal transformations for locality; a polyhedral approach to ease the composition of program transformations; using data compression to increase energy savings in multi-bank memories; architecture-independent meta-optimization by aggressive tail splitting; parallel and distributed databases, data mining and knowledge discovery and a large-scale digital library system to integrate heterogeneous data of distributed databases. C3 - 10th International European Conference on Parallel Processing, Euro-Par 2004, August 31, 2004 - September 3, 2004 DA - 2004 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2004 SN - 03029743 SP - 1-1080 ST - 10th International Euro-Par Conference on Parallel Processing, Euro-Par 2004 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 10th International Euro-Par Conference on Parallel Processing, Euro-Par 2004 VL - 3149 ID - 628 ER - TY - CONF AB - The proceedings contain 62 papers. The special focus in this conference is on information systems, technologies and its development and engineering in America. The topics include: a knowledge-based entrepreneurial approach for business intelligence in strategic technologies; an exploratory research on data management in the multidatabase environment; using reference models for data warehouse metadata management; an investigation of book market aggregation in Amazon; not eternal love but differentiation about the possibilities for optimizing business of paid services on dating websites; from ad-hoc to engineered collaboration in virtual workspaces; toward a theoretical model of consensus building; towards personalized assistance in distributed group facilitation; training for collaboration and cognitive alignment; building a facilitated design collaboration environment; a model of unethical usage of information technology; the role of events in Actor Network Analysis of IT-based change; a meta-analysis of current global information systems research; CRM excellence at KLM Royal Dutch Airlines; rebuilding consumer trust in e-Commerce relationships; a Bayes' theorem based approach for the selection of best pruned tree; a Bayesian Reasoning Framework for on-line business information systems; a conceptual model of recommender system for algorithm selection; a fuzzy mining algorithm for association-rule knowledge discovery; building discerning knowledge bases from multiple source documents, with novel fact filtering and Data Warehouse (DWH) efficiency evaluation using Fuzzy Data Envelopment Analysis (FDEA). C3 - 11th Americas Conference on Information Systems, AMCIS 2005, August 11, 2005 - August 15, 2005 DA - 2005 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - AIS/ICIS Administrative Office PY - 2005 ST - 11th Americas Conference on Information Systems, AMCIS 2005, Volume 1 T3 - Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale TI - 11th Americas Conference on Information Systems, AMCIS 2005, Volume 1 VL - 1 ID - 736 ER - TY - CONF AB - To compete in today's fast-paced, highly competitive business environment, we cannot afford to waste time searching through mountains of data, looking for valuable nuggets of information to make business-critical decisions. Even if you have access to your day-to-day operational data, it is not enough. To track trends, analyze performance and make better business decisions, we need a data warehouse. However, when developing a data warehouse, the challenge lies in extracting the data from the source databases, integrating that data into the target data warehouse and managing the meta-data. With the meta-data in place, we can extract data from operational and other systems, scrub or otherwise repair it, and then summarize, sort and organize it before loading it into the data warehouse. Though we can rely on ETT (extraction, transformation and transportation) tools for helping us to extract, transform and load data from operational databases into a data warehouse, the successful design of a data warehouse still relies on an experienced data warehouse architect. This paper uses a building estate OLTP database as an example to illustrate the concepts and how to build a successful data warehouse. It is used to check and forecast the rental rate and amount of sales in Hong Kong. AU - Chan, R. C3 - Proceedings of 8th International Hong Kong Computer Society Database Workshop. Data Mining, Data Warehousing and Client/Server Databases ISBN, 29-31 July 1997 DA - 1997 KW - business data processing Decision support systems online operation real estate data processing software management transaction processing very large databases PB - Springer-Verlag Singapore PY - 1997 SP - 227-48 ST - 12 steps of creating a successful data warehouse T3 - Data Mining Data Warehousing and Client/Server Databases. Proceedings of the 8th International Database Workshop (Industrial Volume) TI - 12 steps of creating a successful data warehouse ID - 786 ER - TY - CONF AB - The proceedings contain 79 papers. The special focus in this conference is on Smart Products and Assessment Approaches. The topics include: Information and data provision of operational data for the improvement of product development; integrated component data model based on UML for smart components lifecycle management; foot plantar pressure estimation using artificial neural networks; PLM system support for collaborative development of wearable meta-products using SBCE; publish and subscribe pattern for designing demand driven supply networks; an environmental burden shifting approach to re-evaluate the environmental impacts of products; risk probability assessment model based on PLMs perspective using modified markov process; different approaches of the PLM maturity concept and their use domains; toward a maturity assessment model for product development; a maturity model to promote the performance of collaborative business processes; a process based methodology to evaluate the use of PLM tools in the product design; procedural approach for 3D modeling of city buildings; investigating the potential of delivering employer information requirements in BIM enabled construction projects in qatar; roles and responsibilities of construction players in projects using building information modeling; 3D capture techniques for BIM enabled LCM; comparing BIM in construction with 3D modeling in shipbuilding industries; a linguistic comparison of the structures of internet-search and enterprise-search queries; customer reviews analysis based on information extraction approaches and towards an approach to link knowledge and prediction in product design. C3 - 12th IFIP WG 5.1 International Conference on Product Lifecycle Management in the Era of Internet of Things, PLM 2015, October 19, 2015 - October 21, 2015 DA - 2016 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer New York LLC PY - 2016 SN - 18684238 SP - 1-876 ST - 12th IFIP WG 5.1 International Conference on Product Lifecycle Management in the Era of Internet of Things, PLM 2015 T3 - IFIP Advances in Information and Communication Technology TI - 12th IFIP WG 5.1 International Conference on Product Lifecycle Management in the Era of Internet of Things, PLM 2015 VL - 467 ID - 599 ER - TY - CONF AB - The proceedings contain 95 papers. The special focus in this conference is on Advanced Databases and Information Retrieval Aspects. The topics include: Modeling and multidimensional indexing; updatability in federated database systems; designing semistructured databases; meaningful change detection on the web; definition and application of metaclasses; a neural network based tool for components search in a distributed object environment; information retrieval by possibilistic reasoning; extracting temporal references to assign document event-time periods; techniques and tools for the temporal analysis of retrieved information; page classification for meta-data extraction from digital collections; a new conceptual graph formalism adapted for multilingual information retrieval purposes; flexible comparison of conceptual graphs; personalizing digital libraries for learners; interface for wordnet enrichment with classification systems; an architecture for database marketing systems; the chinese natural language interface to databases; pattern-based guidelines for coordination engineering; information management for material science applications in a virtual laboratory; a reverse engineering method and tool for environmental databases; a very efficient order preserving scalable distributed data structure; feature selection using association word mining for classification; efficient feature mining in music objects; an information-driven framework for image mining; a rule-based scheme to make personal digests from video program meta data; casting mobile agents to workflow systems; anticipation to enhance flexibility of workflow execution; coordinating interorganizational workflows based on process-views; strategies for semantic caching and information flow control among objects in role-based access control model. C3 - 12th International Conference on Database and Expert Systems Applications, DEXA 2001, September 3, 2001 - September 5, 2001 DA - 2001 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2001 SN - 03029743 SP - 1-988 ST - 12th International Conference on Database and Expert Systems Applications, DEXA 2001 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 12th International Conference on Database and Expert Systems Applications, DEXA 2001 VL - 2113 ID - 540 ER - TY - CONF AB - The proceedings contain 47 papers. The special focus in this conference is on Distributed computing and artificial intelligence. The topics include: A natural language interface to ontology based knowledge bases; retweeting prediction using meta-paths aggregated with follow model in online social networks; swarm agent-based architecture suitable for internet of things and smartcities; detection of rice field using the self-organizing feature map; ontology-based music recommender system; data reordering for minimizing threads divergence in GPU-based evaluating association rules; checking RTECTL properties of STSs via SMT-Based bounded model checking; multi-agent system for tracking and classification of moving object; improved local weather forecasts using artificial neural networks; on the bias of the SIR filter in parameter estimation of the dynamics process of state space models; hierarchical multi-label classification problems: an LCS approach; analysis of web objects distribution; investors or giver ? the case of a Portuguese crowdfunding site; effects of organizational dynamics in adaptive distributed search processes; a multi-agent framework for research supervision management; a formal machines as a player of a game; trusting norms: a conceptual norms trust framework for norms adoption in open normative multi-agent systems; do human-agent conversations resemble human-human conversations?; artificial and natural intelligence integration; CASOOK: creative animating sketchbook; collective strategies for virtual environments: modelling ways to deal with the uncertainty; solar intensity characterization using data-mining to support solar forecasting and automated multi-agent negotiation framework for the construction domain. C3 - 12th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2015, June 3, 2015 - June 5, 2015 DA - 2015 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 21945357 SP - 1-415 ST - 12th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2015 T3 - Advances in Intelligent Systems and Computing TI - 12th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2015 VL - 373 ID - 616 ER - TY - CONF AB - The proceedings contain 79 papers. The special focus in this conference is on theoretical foundations and methods for information processing and management of uncertainty in knowledge-based systems. The topics include: An algorithm to find a perfect map for graphoid structures; an empirical study of the use of the noisy-or model in a real-life Bayesian network; possibilistic graphical models and compositional models; an application to convoy detection; approximation of data by decomposable belief models; a gambler's gain prospects with coherent imprecise previsions; infinite exchangeability for sets of desirable gambles; ergodicity conditions for upper transition operators; on the complexity of non-reversible betting games on many-valued events; similarity-based equality with lazy evaluation; progressive reasoning for complex dialogues among agents; measuring instability in normal residuated logic programs; implementing prioritized merging with ASP; characterization of complete fuzzy preorders defined by Archimedean t-norms; rectification of preferences in a fuzzy environment; identification of speakers by name using belief functions; constructing multiple frames of discernment for multiple subproblems; conflict interpretation in a belief interval based framework; evidential data association filter; TS-models from evidential clustering; multiplication of multinomial subjective opinions; a model in the theory of evidence; gradual evaluation of granules of a fuzzy relation; on scalability of rough set methods; interestingness measures for association rules within groups; data mining in RL-bags; feature subset selection for fuzzy classification methods; restricting the IDM for classification; estimation of possibility-probability distributions; Bayesian assaying of GUHA nuggets; rank correlation coefficient correction by removing worst cases; probabilistic relational learning for medical diagnosis based on ion mobility spectrometry; uncertainty interval expression of measurement; lazy induction of descriptions using two fuzzy versions of the rand index; fuzzy clustering-based filter; fuzzy classification of nonconvex data-inherent structures; fuzzy-pattern-classifier training with small data sets; temporal linguistic summaries of time series using fuzzy logic; a comparison of five fuzzy rand indices; identifying the risk of attribute disclosure by mining fuzzy rules; explicit descriptions of associative sugeno integrals; continuity of choquet integrals of supermodular capacities; fuzzy measure spaces generated by fuzzy sets; absolute continuity of monotone measure and convergence in measure; on a new class of implications in fuzzy logic; fuzzy relation equations in semilinear spaces; adaptive rule based-reasoning by qualitative analysis; a new approach to the distances between intuitionistic fuzzy sets; trust propagation based on group opinion; application of IF-sets to modeling of lip shapes similarities; hesitation degrees as the size of ignorance combined with fuzziness; cardinality and entropy for bifuzzy sets; arity-monotonic extended aggregation operators; mixture utility in general insurance; measurement of ground-neutral currents in three phase transformers using a genetically evolved shaping filter and learning of fuzzy rule-based meta-schedulers for grid computing with differential evolution. C3 - Information Processing and Management of Uncertainty in Knowledge-Based Systems: Theory and Methods, 13th International Conference, IPMU 2010, Proceedings, June 28, 2010 - July 2, 2010 DA - 2010 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2010 SN - 18650929 ST - 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010 T3 - Communications in Computer and Information Science TI - 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010 VL - 80 PART 1 ID - 626 ER - TY - CONF AB - The proceedings contain 35 papers. The special focus in this conference is on Knowledge Engineering and Knowledge Management. The topics include: Extending a lexical ontology by a combination of distributional semantics signatures; acquiring knowledge and numerical data to support CBR retrieval; an OO model for incremental hierarchical KA; experiences with modelling issues in building probabilistic networks; interactive knowledge representation and acquisition from text; an interactive tool for capturing information analysis and decision making; web-based document management for specialised domains; from informal knowledge to formal logic; skills management in knowledge-intensive organizations; knowledge acquisition and modeling in clinical information systems; an intelligent knowledge management methodology; semantic commitment for designing ontologies; user-system cooperation in document annotation based on information extraction; an integrated workbench for ontology representation, reasoning, and exchange; some ontology engineering processes and their supporting technologies; ontology versioning and change detection on the web; an ontology-driven approach to web site generation and maintenance; ontology-mediated business integration; representation of ontologies for information integration; attribute meta-properties for formal ontological analysis; ensuring referential integrity of ontologies for the semantic web; acquiring configuration knowledge bases in the semantic web using UML and ontology driven semi-automatic and automatic support for semantic markup. C3 - 13th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2002, October 1, 2002 - October 4, 2002 DA - 2002 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2002 SN - 03029743 SP - 1-401 ST - 13th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2002 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 13th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2002 VL - 2473 ID - 602 ER - TY - CONF AB - The proceedings contain 46 papers. The special focus in this conference is on Adoption, Big and Open Data. The topics include: Driving innovation using big open linked data BOLD panel; adoption of mobile banking in jordan; young-elderly travellers as potential users and actual users of internet with mobile devices during trips; an empirical study on the adoption of online household e-waste collection services in china; perceptions of teachers and guardians on the electronic record in the school-family communication; a systematic review of impediments blocking internet of things adoption by governments; understanding the adoption of mobile internet in the saudi arabian context; conceptualising and exploring user activities in social media; understanding the determinants of privacy-ABC technologies adoption by service providers; linking operational business intelligence with value-based business requirements; operationalizing data governance via multi-level metadata management; a mapreduce based distributed framework for similarity search in healthcare big data environment; revenue sources of social media services besides advertising; big data analytics as a service for business intelligence; linked relations architecture for production and consumption of linksets in open government data; transparency dimensions of big and open linked data; a global perspective and a focus on china; proposing a framework for evaluating citizen intentions; enabling flexible IT services by crowdsourcing; mining learning processes from FLOSS mailing archives; private-collective innovation and open source software and towards a set of capabilities for orchestrating IT-outsourcing in the retained organizations. C3 - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, October 13, 2015 - October 15, 2015 DA - 2015 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 1-512 ST - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015 VL - 9373 ID - 498 ER - TY - CONF AB - The proceedings contain 56 papers. The special focus in this conference is on Machine Learning. The topics include: Breaking through the syntax barrier; real-world learning with Markov logic networks; the advance of data analysis; applying support vector machines to imbalanced datasets; sensitivity analysis of the result in binary decision trees; a boosting approach to multiple instance learning; an experimental study of different approaches to reinforcement learning in common interest stochastic games; learning from message pairs for automatic email answering; concept formation in expressive description logics; multi-level boundary classification for information extraction; an analysis of stopping and filtering criteria for rule learning; adaptive online time allocation to search algorithms; model approximation for HEXQ hierarchical reinforcement learning; iterative ensemble classification for relational data; analyzing multi-agent reinforcement learning using evolutionary dynamics; experiments in value function approximation with sparse support vector regression; constructive induction for classifying time series; a new dataset for email classification research; multi-objective classification with info-fuzzy networks; improving progressive sampling via meta-learning on learning curves; analyzing sensory data using non-linear preference learning with feature subset selection; dynamic asset allocation exploiting predictors in reinforcement learning framework; justification-based selection of training examples for case base reduction; feature selection filters based on the permutation test; sparse distributed memories for on-line value-based reinforcement learning and using string kernels to identify famous performers from their playing style. C3 - 15th European Conference on Machine Learning, ECML 2004, September 20, 2004 - September 24, 2004 DA - 2004 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2004 SN - 03029743 SP - 1-579 ST - 15th European Conference on Machine Learning, ECML 2004 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 15th European Conference on Machine Learning, ECML 2004 VL - 3201 ID - 601 ER - TY - CONF AB - The proceedings contain 75 papers. The special focus in this conference is on business intelligence, business process modelling, project management, IT organizational learning and healthcare information technology. The topics include: selecting and ranking IT governance practices for electric utilities; examining virtual tourism community in China; a social network perspective of information systems project management; a theoretical model of the enterprise system agility life-cycle; an inductive classification scheme for green IT initiatives; forensic data mining; an exploratory study about microblogging acceptance at work; conceptualizing public service value in e-government services; e-learning to improve intercultural communication; assessment of ubiquitous healthcare information systems benefits; a typology of design knowledge; IT enabled in-home direct selling presentations; a methodology for profiling literature using co-citation analysis; building traceability systems; text classification with imperfect hierarchical structure knowledge; taxonomy development in information systems; from cross-organizational business process to public services; process complexity impact on IS audit service quality; a meta-model based approach to the description of resources and skills; warehousing and analyzing streaming data quality information; from green IT to sustainable innovation; a cybernetic view on data quality management; the impact of instant messaging in the workplace and a theory-based approach for a modular system of interactive decision aids. C3 - 16th Americas Conference on Information Systems 2010, AMCIS 2010, August 12, 2010 - August 15, 2010 DA - 2010 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - AIS/ICIS Administrative Office PY - 2010 ST - 16th Americas Conference on Information Systems, AMCIS 2010, Volume 5 T3 - 16th Americas Conference on Information Systems 2010, AMCIS 2010 TI - 16th Americas Conference on Information Systems, AMCIS 2010, Volume 5 VL - 5 ID - 615 ER - TY - CONF AB - The proceedings contain 481 papers. The special focus in this conference is on Developments, Technologies, Knowledge, Benefits and Services of America's Information System. The topics include: Knowledge goals as an essential component of knowledge management; the impact of culture on the enterprise systems adoption in Japan and the U.S.; IT governance for e-health applications; developing sustainable IT-related capabilities; smart-board technology integration in teaching; model for the benefit analysis of ICT; a survey of cognitive theories to support data integration; women managers in high tech; a design theory for knowledge transfer in business intelligence; the perceived uniqueness of the IS profession; IT governance in collaborative organizational structures; power interactions in enterprise system assimilation; a typology of positive and negative self-interruptions in voluntary multitasking; business intelligence maturity in Australia; a nursing diagnosis decision aid adoption assessment; a user centric typology of IS requirements; social movements in World of Warcraft; perceptions of sunk cost and habitual IS use; IS architecture characteristics as a measure of IT agility; the effects of ICT pervasiveness on administrative corruption; collaborative learning in software development teams; demand management in the smart grid; software characteristics of B2B electronic intermediaries; model to support Enterprise Resource Planning system selection; maintenance trends in ERP systems; the role of dynamic capabilities in creating business value from IS assets; spatial analysis of the global digital divide; different configurations of flexibility for I/S strategic alignment; towards objectives-based process redesign; model for measuring efficiency of Argentina banks; the effect of CRM system on sales management control; towards a design for IT performance management; Web 3.0 and crowd servicing; inherence of ratios for service identification and evaluation; Information Communication Technology adoption in Moroccan small and medium enterprises; dynamic capabilities and business processes; understanding artifact knowledge in design science; using real options in ERP-systems for improving delivery reliability; inter-organizational integration of smart objects; risk and compliance management for cloud computing services; a comprehensive information model for business change projects; experiential learning in second life; organizational participation in open communities; organizational social media around the GLOBE; structural stability and virtual team performance; the impact of IT governance on organizational performance; analysing knowledge-based growth; designing viable security solutions; factors affecting impact of cloud computing announcements on firm valuation; toward a maturity model for DSS development processes; a meta-model ontology based on scenarios; key influencing factors of information systems quality and success in Jamaican organizations; the state of the art of service description languages; agile software development; revenue streams of cloud-based platforms; IT outsourcing as a source of open innovation; using IS/IT valuation methods in practice; working toward optimal pair programming management and environment; the role of Business Intelligence (BI) in service innovation; management of information systems outsourcing; autonomy and electronic health records; the impact of e-service quality on e-commerce; medical errors and information quality; a model for assessing the performance of virtual teams; knowledge as a contingency factor in virtual organizations; individual knowledge sharing behaviour in organizations; sustainable business transformation; towards a life cycle oriented business intelligence success model; adoption of cloud computing in organizations; conceptualizing knowledge utilization; detecting community influence echelons in Twitter network; team collaboration in virtual worlds; building sustainable collaborative networks; towards an enterprise software component ontology; business mo elling for services; a cultural sociology perspective on IT occupational culture; social network sites and digital word of mouth; learning object composition; measuring innovation using business intelligence dashboards; examining SNS adoption through motivational lens; business intelligence in corporate risk management; business and IT aspects of wireless enabled healthcare solutions; developing a dichotomy of information privacy concerns; self-selected identity and social capital in social network sites; developing data marts for healthcare; developing a theory driven view of web based homework; evaluating design solutions using crowds; examining ethical decision making behaviour in e-learning systems; data mining meets decision making; networking skills and hiring managers; a text-based model for identifying online trust relationships and a threat tree for health information security and privacy. C3 - 17th Americas Conference on Information Systems 2011, AMCIS 2011, August 4, 2011 - August 8, 2011 DA - 2011 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - AIS/ICIS Administrative Office PY - 2011 ST - 17th Americas Conference on Information Systems 2011, AMCIS 2011 T3 - 17th Americas Conference on Information Systems 2011, AMCIS 2011 TI - 17th Americas Conference on Information Systems 2011, AMCIS 2011 VL - 1 ID - 808 ER - TY - CONF AB - The proceedings contain 42 papers. The topics discussed include: case study of feature location using dependence graph, after 10 years; automatic extraction of a WordNet-like identifier network from software; using data fusion and web mining to support feature location in software; visual support for understanding product lines; Patrools: visualizing the polymorphic usage of class hierarchies; renaming parts of identifiers consistently within code clones; Featureous: a tool for feature-centric analysis of Java software; the ConAn tool to identify crosscutting concerns in object oriented systems; Unibench: a tool for automated and collaborative benchmarking; recovering traceability links between business process and software system components; towards developing a meta-model for comprehending software adaptability; and on the equivalence of information retrieval methods for automated traceability link recovery. C3 - 18th IEEE International Conference on Program Comprehension, ICPC 2010, June 30, 2010 - July 2, 2010 DA - 2010 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 SP - IEEE-Computer Society; IEEE Portugal Section; IEEE-CS Portuguese Chapter ST - 18th IEEE International Conference on Program Comprehension, ICPC 2010 T3 - IEEE International Conference on Program Comprehension TI - 18th IEEE International Conference on Program Comprehension, ICPC 2010 ID - 547 ER - TY - CONF AB - The proceedings contain 28 papers. The special focus in this conference is on Discovery Science. The topics include: Resolution transfer in cancer classification based on amplification patterns; very short-term wind speed forecasting using spatio-temporal lazy learning; discovery of parameters for animation of midge swarms; sentiment classification on medical forums; active learning for classifying template matches in historical maps; an evaluation of score descriptors combined with non-linear models of expressive dynamics in music; geo-coordinated parallel coordinates; ensembles of extremely randomized trees for multi-target regression; clustering-based optimised probabilistic active learning; predictive analysis on tracking emails for targeted marketing; semi-supervised learning for stream recommender systems; detecting transmembrane proteins using decision trees; change point detection for information diffusion tree; multi-label classification via multi-target regression on data streams; periodical skeletonization for partially periodic pattern mining; extracting structured information from scientific publications; predicting protein function and protein-ligand interaction with the 3d neighborhood kernel; evaluating the effectiveness of hashtags as predictors of the sentiment of tweets; on the feasibility of discovering meta-patterns from a data ensemble; benchmarking stream clustering for churn detection in dynamic networks; canonical correlation methods for exploring microbe-environment interactions in deep subsurface; tree PCA for extracting dominant substructures from labeled rooted trees and enumerating maximal clique sets with pseudo-clique constraint. C3 - 18th International Conference on Discovery Science, DS 2015, October 4, 2015 - October 6, 2015 DA - 2015 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 1-341 ST - 18th International Conference on Discovery Science, DS 2015 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 18th International Conference on Discovery Science, DS 2015 VL - 9356 ID - 545 ER - TY - CONF AB - The proceedings contain 436 papers. The special focus in this conference is on Information Systems. The topics include: A classification of factors that impact the role of the CIO; a comparison of IT governance and control frameworks in cloud computing; a conceptual approach for optimizing distribution logistics using big data; a database-driven model for risk assessment; a framework for developing integrated supply chain information system; a maturity model and web application for environmental management benchmarking; a model of distributed agile team; a model of effective IT governance structures for developing economies; a multi-agent system for healthcare data privacy; a novel indexing method for improving timeliness of high-dimensional data; a systematic review of cloud computing, big data and databases on the cloud; a user satisfaction study of the London congestion charging e-service; achieving business goals with gamification; addressing levels issues in IS qualitative research; affect infusion in a computer based multitasking environment; alignment between business process governance and IT governance; an actor-network perspective on business process management; an agent-based system for medication adherence monitoring and patient care; an application of the knowledge management maturity model; an efficient stochastic update propagation method in data warehousing; an empirical study of consumer behavior in online pay-to-bid auctions; an empirical study of the gratifications of customer resonance on purchase intention; an explorative study of mobile apps in the enterprise; an information system framework and prototype for collaborative and standardized Chinese liquor production; an ontology-based record management systems approach for enhancing decision support; an organizational mining approach based on behavioral process patterns; applying emergent outcome controls to mitigate time pressure in agile software development; augmented reality and print communication; barriers to green IT service management; behavioural affect and cognitive effects of time-pressure and justification requirement in software acquisition; a holistic investigation into factors affecting social media utilisation in the workplace; beyond traditional IT-enabled innovation; a key capability for competitive advantage; BIS adoption determinants in SMEs; boundary spanning and the differentiated effects of IS project deviations; business continuity in network organizations - a literature review; business intelligence and analytics; start-ups in the text analytics software industry; categorising software contexts; causal model for predicting knowledge sharing via ICTs; changing boundaries in virtual (open) innovation work; an organizational learning approach; co-creation in branding through social commerce; communication privacy management in the digital age - effects of general and situational privacy concerns; communities of sentiment around man-made disasters; compensation of IT service management employees; conceptual review of formative assessment in virtual learning environment; conceptualizing business value of IT in healthcare to design sustainable e-health solutions; conditions for participation within synchronous online collaborative learning; consultant strategies and technological affordances; contextual preferences and network-based knowledge sharing in china; contingent role of knowledge self-efficacy distribution on diffusion of knowledge in peer-to-peer networks; data fusion-based decision support architecture for intensive care units; decreasing waiting times with human and equipment resources; design guidelines for a mobile app for wellbeing of emerging adults; designing a hybrid academic workshop; determinants of CIOs reporting relationship; determinants of it job occupations; developing a conceptual model for project knowledge management; developing an engaging IT degree; developing social capital in online communities; development of measurement instrument for sustainable agricultural management; drivers of informatio quality on blogs; communication preparedness using emergency description information technology; extent of use and overall performance mediated by routinization and infusion; educated people with disabilities in the ICT field; effectiveness and efficiency of blended learning - a literature review; effects of IT-culture conflict and user dissatisfaction on information security policy non-compliance; EHR adoption in healthcare practices; ensuring positive impact of data quality metadata; enterprise architecture as enabler of organizational agility - a municipality case study; enterprise SNS use and profile perceptions; enterprise system lifecycle-wide innovation; evaluating emotions in mobile application descriptions; evaluation of firm level technology usage in developing countries; examining intersubjectivity in social knowledge artifacts; examining the impact of emotions on trust in virtual teams; examining the role of legal climate on individual creativity in virtual worlds; experiential learning with an open-source enterprise system; exploring configurations of affordances; exploring the existence of network governance in the software as a service value network; exploring user satisfaction of the public e-services in the state of Qatar; factors related to social media adoption and use for emergency services operations; features for social CRM technology - an organizational perspective; financial incentives for medication adherence; from strategic to operational collaborations; a qualitative and quantitative analysis of scientific literature; icon design and game app adoption; ICT development and corruption; impact of electronic diabetes registry use on care and outcomes in primary care; impact of online customer reviews and incentives on the product sales at the online retail store; impacts of organizational behavior on it project teams; improving healthcare outreach to a vulnerable community group; improving knowledge-intensive business processes through social media; information security and insider threats in small medical practices; information security in value chains; information systems security training in organizations; recognizing ritualistic behavior by abstracting technical indicators from past cases; inspiring and cultivating female innovators through mobile app development; IT enabled agility in organizational ambidexterity; IT enablers for task organization and innovation support to drive team performance; IT-enabled intangibles and IT capabilities; joint effect of organizational identity and trust on ERP implementation success; critical factors for achieving smart grid value; market reaction to information technology investment announcements in Russian firms; method-based versus software-based design innovation; differences in environment-based voluntariness; news media sentiment of data breaches; online electronic thesis support system at maritime university; a pedagogical approach of promoting information security education; patterns of designer-user interactions in the design innovation process; personality type effects on online credit card payment utilization; personalized design of online communities; predicting fraud from quarterly conference calls; pricing quality attributes of internet domain names; protection motivation driven security learning; prudential risk management of IT sourcing strategies; real-time task attributes and temporal constraints; analyzing requirements cognition in multiple development paradigms; rethinking the concept of organizational readiness; role of justice in information system service recovery process; impression management as motivation to use social networks; seeking efficiency and productivity in health care; sentiment analysis method review in information systems research; smart sustainability through system satisfaction; bridging the gap between online social networks; social determinants of Facebook commerce acceptance; social media communication in European airlines; exploring content guidelines and policy using a grounded theory approach; the use of online social networks to support shopping-oriented decision making; software ecosystem orchestration; visibility feature designs increase tablet use; technology in practice in Brazilian judiciary; testing the group task demands-resources model among IT professionals; the antecedents and impacts of mobile technostress in the workplace; the combined effects of IT and HRM capabilities on competitive performance; the effects of salience, deterrence, and social influence on software piracy; towards a business model framework for E-learning companies; towards understanding and overcoming hurdles in PDMS projects in Germany; trends in the E-learning ecosystem; understanding usages and affordances of enterprise social networks; user interface design and the halo effect; using crowdsourcing tools for implementing open strategy; value proposition of agility in software development - an empirical investigation; virtual team performances in crowdsourcing contests; will insurance brokers use mobile insurance service platform and the antecedents and consequences. C3 - 20th Americas Conference on Information Systems, AMCIS 2014, August 7, 2014 - August 9, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Information Systems PY - 2014 SP - et-al; Georgia Southern University; Georgia State University; Georgia Tech Scheller College of Business; IBM; SAP ST - 20th Americas Conference on Information Systems, AMCIS 2014 T3 - 20th Americas Conference on Information Systems, AMCIS 2014 TI - 20th Americas Conference on Information Systems, AMCIS 2014 ID - 501 ER - TY - CONF AB - The proceedings contain 84 papers. The topics discussed include: routing design and performance evaluation of X-ARC on the semi-cactus workflow; finding median set of tree structures in synchronous distributed systems; using linear congruential generators for cryptographic purposes; waveform analysis for high-quality loop-based audio distribution; a new non-blocking synchronous checkpointing scheme for distributed systems; the design of an interactive approach to statistical data mining; MetaFinder: a meta-search engine with an open architecture; association rules mining algorithm; clustering using self organized map on Rmesh; integrating active agent technology with network management; simulation and analysis of traffic engineering capabilities of MPLS networks using Linux test-bed; and shortest path problem with multiple constraints. C3 - 20th International Conference on Computers and Their Applications 2005, CATA 2005, March 16, 2005 - March 18, 2005 DA - 2005 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Society for Computers and Their Applications PY - 2005 SP - The-International Society for Computers; and Their Applications (ISCA) ST - 20th International Conference on Computers and Their Applications 2005, CATA 2005 T3 - 20th International Conference on Computers and Their Applications 2005, CATA 2005 TI - 20th International Conference on Computers and Their Applications 2005, CATA 2005 ID - 607 ER - TY - CONF AB - The proceedings contain 51 papers. The topics discussed include: automatic macroarray analysis - tool and methods; parallel assembler for fuzzy genome sequence assembly; hierarchical clustering of features on categorical data of biomedical applications; single field grammar-based feature creation with discovery items; speech emotion verification and profiling; privacy preservation in data mining using additive noise; map based simulation of pandemic influenza virus spreading; e-coordination in healthcare networks by customized services; a tool for design and verification of distributed manufacturing process based on meta-modeling and graph grammars: application to a production line; an eclipse platform for analysis and manipulation of distributed multi-language software; new architecture and protocols for global-scale machine communities; and an annotation approach for the matching of process variables and operational business data models. C3 - 21st International Conference on Computer Applications in Industry and Engineering, CAINE 2008, November 12, 2008 - November 14, 2008 DA - 2008 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Society for Computers and Their Applications PY - 2008 SP - International-Society for Computers and Their Applications (ISCA) ST - 21st International Conference on Computer Applications in Industry and Engineering, CAINE 2008 T3 - 21st International Conference on Computer Applications in Industry and Engineering, CAINE 2008 TI - 21st International Conference on Computer Applications in Industry and Engineering, CAINE 2008 ID - 610 ER - TY - CONF AB - The proceedings contain 58 papers. The special focus in this conference is on Data Mining Methods and Databases, Information Retrieval, Recommender Systems. The topics include: Data mining with histograms; discovering variability patterns for change detection in complex phenotype data; computation of approximate reducts with dynamically adjusted approximation threshold; a new formalism for evidential databases; ubiquitous city information platform powered by fuzzy based DSSs to meet multi criteria customer satisfaction; a framework supporting the analysis of process logs stored in either relational or NoSQL DBMSs; an approximate proximity graph incremental construction for large image collections indexing; experimenting analogical reasoning in recommendation; personalized meta-action mining for NPS improvement; on the qualitative calibration of bipolar queries; a scalable boosting learner using adaptive sampling; markov logic network-based statistical predicate invention; learning bayesian random cutset forests; classifier fusion within the belief function framework using dependent combination rules; on the effectiveness of evidence-based terminological decision trees; clustering classifiers learnt from local datasets based on cosine similarity; a hierarchical clustering approach to data editing; ontology-based topic labeling and quality prediction; exploring political sentiments on twitter for opinion mining; sentiment dictionary refinement using word embeddings; the cube of opposition and the complete appraisal of situations by means of sugeno integrals; model checking based query and retrieval in openstreetmap and granular rules and rule frames for compact knowledge representation. C3 - 22nd International Symposium on Methodologies for Intelligent Systems, ISMIS 2015, October 21, 2015 - October 23, 2015 DA - 2015 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 1-464 ST - 22nd International Symposium on Methodologies for Intelligent Systems, ISMIS 2015 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - 22nd International Symposium on Methodologies for Intelligent Systems, ISMIS 2015 VL - 9384 ID - 691 ER - TY - CONF AB - The proceedings contain 30 papers. The topics discussed include: local force model for cardiac dynamics analysis based on CT volumetric image sequences; small object detection using morphological filtering and multiresolution analysis with application to microcalcification detection in mammograms; active contour based on the elliptical Fourier series, applied to matrix-array ultrasound of the heart; wavelet index of texture for artificial neural network classification of landsat images; registration of satellite imagery utilizing the low-low components of the wavelet transform; spectral unmixing of remotely sensed imagery using maximum entropy; spectral imaging applications: remote sensing, environmental monitoring, medicine, military operations, factory automation, and manufacturing; extracting an image similarity index using meta-data content for image mining applications; and milestones on the road to independence for the blind. C3 - 25th AIPR Workshop: Emerging Applications of Computer Vision, October 16, 1996 - October 16, 1996 DA - 1997 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SPIE PY - 1997 SN - 0277786X ST - 25th AIPR Workshop: Emerging Applications of Computer Vision T3 - Proceedings of SPIE - The International Society for Optical Engineering TI - 25th AIPR Workshop: Emerging Applications of Computer Vision VL - 2962 ID - 556 ER - TY - CONF AB - The proceedings contain 64 papers. The topics discussed include: big data reduction; traversing two and twelve dimensional space; modeling and analysis of hybrid physical systems using bond graph and dynamic causality; a meta-model for consistent automatic simulation model selection; a resource model for the rule-based dynamic business process modeling and simulation; flat vs nested firm real-time transactions: an analysis of their success ratio; discrete event simulation to reduce the effect of uncertainties on project planning; metaheuristics applied to the autonomous movement of intelligent agents; predicting 2 way football results by means of data mining; modeling issues when using simulation to test the performance of mathematical programming models under stochastic conditions; and function slices: a model to extract parallelism from sequential applications. C3 - 29th Annual European Simulation and Modelling Conference 2015, ESM 2015, October 26, 2015 - October 28, 2015 DA - 2015 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - EUROSIS PY - 2015 SP - De-Montfort University; Ghent University; IEEE - UKRI-SPC; The European Simulation Society (EUROSIS); University of Skovde ST - 29th Annual European Simulation and Modelling Conference 2015, ESM 2015 T3 - 29th Annual European Simulation and Modelling Conference 2015, ESM 2015 TI - 29th Annual European Simulation and Modelling Conference 2015, ESM 2015 ID - 773 ER - TY - JOUR AB - Purpose Kutna Hora was a centre of medieval mining and remains an important contamination source in the present day. Surprisingly, very little attention has been paid to the associated contamination. Although some studies have been performed, the majority of information regarding contamination is only accessible in the archives and no overview has been published. The purpose of this study is to perform a meta-analysis of all accessible data and to shed light on this topic. Materials and methods The data mainly come from analyses of HNO3 solutions of sediments. We used statistical analyses (exploratory data analysis, PCA). The results were visualised and evaluated in the GIS environment. Results and discussion The complex of heavy metals As, Be, Cd, Co, Cr, Cu, Hg, Pb, V, and Zn can be divided into three main groups of different interpretation: (1) uninfluenced by mining activities-Be, Co, Cr, Hg, and V; (2) smelting processes-Cu, Pb, and Zn; and (3) mining-As and Cd. These groups also show different spatial distribution patterns, absolute concentration values and binding with different environmental types-landscape features. Conclusions The contamination of Kutna Hora can be characterised by element grouping and also by spatial diversification. This could be used in future research as a bearer of proxy information. Surprisingly, it also seems that the spatial range of contamination of sediments could be shorter than is generally presumed. AU - Horak, Jan AU - Hejcman, Michal DA - 2016/05// DO - 10.1007/s11368-015-1328-7 IS - 5 PY - 2016 SN - 1439-0108 SP - 1584-1598 ST - 800 years of mining and smelting in Kutna Hora region (the Czech Republic)-spatial and multivariate meta-analysis of contamination studies T2 - Journal of Soils and Sediments TI - 800 years of mining and smelting in Kutna Hora region (the Czech Republic)-spatial and multivariate meta-analysis of contamination studies VL - 16 ID - 1932 ER - TY - CONF AB - The proceedings contain 653 papers. The topics discussed include: a modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy; parallel PSO using MapReduce; solving multiobjective clustering using an immune-inspired algorithm; symbolic regression of discontinuous and multivariate functions by hyper-volume error separation (HVES); genetic programming-based clustering using an information theoretic fitness measure; evolutionary data mining of digital logic and the effects of uncertainty; implicit alternative splicing for genetic algorithms; an efficient genetic algorithm with uniform crossover for the multi-objective airport gate assignment problem; toward automating EA configuration: the patent selection stage; parameter calibration using meta-algorithms; and self-adaptation of mutation distribution in evolutionary algorithms. C3 - 2007 IEEE Congress on Evolutionary Computation, CEC 2007, September 25, 2007 - September 28, 2007 DA - 2007 KW - Clustering algorithms data mining Fuzzy Logic Genetic programming Particle swarm optimization (PSO) Regression Analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2007 ST - 2007 IEEE Congress on Evolutionary Computation, CEC 2007 T3 - 2007 IEEE Congress on Evolutionary Computation, CEC 2007 TI - 2007 IEEE Congress on Evolutionary Computation, CEC 2007 ID - 873 ER - TY - CONF A2 - Memon, N. A2 - Alhajj, R. AB - The following topics are dealt with: social network analysis; data mining; applications of social networks; social aspects; privacy and meta aspects; algorithms for social networks; recommendation and prediction; models for social networks; data identification; data representation; data visualization and data clustering. C3 - 2009 International Conference on Advances in Social Network Analysis and Mining (ASONAM), 20-22 July 2009 DA - 2009 KW - data mining data visualisation pattern clustering security of data Social networking (online) PB - IEEE PY - 2009 SP - xii+425 ST - 2009 International Conference on Advances in Social Network Analysis and Mining (ASONAM) TI - 2009 International Conference on Advances in Social Network Analysis and Mining (ASONAM) ID - 1738 ER - TY - CONF AB - The following topics are dealt with: signal processing and statistical approaches for functional genomics; computational biology; computational genomics and epigenomics; personal sequencing; discovery of molecular signatures and biomarkers; gene and protein sequence analysis; analysis of microarray and mass spectrometry data; denoising and compression of genomic data; regulatory network modeling, simulation, and inference; pathways and regulatory genomic networks; dynamic modeling of gene networks; genomic data mining and pattern recognition; cellular modeling and metabolism; meta-analysis of high throughput molecular studies; integrated analysis of diverse high-throughput data; molecular dynamics and simulation; novel assembly and alignment methods; reverse engineering assessments and methods; genome comparisons and summarization; molecular structure and interaction; modeling in synthetic biology; and molecular evolution and phylogeny. C3 - 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), 10-12 Nov. 2010 DA - 2010 KW - bioinformatics biological techniques cellular biophysics data handling data mining Genetics molecular biophysics molecular dynamics method Pattern recognition Proteins Signal processing statistical analysis PB - IEEE PY - 2010 ST - 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS) TI - 2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS) ID - 1740 ER - TY - CONF AB - The following topics are dealt with: structural design; complex problems; distribution algorithm estimation; artificial bee colony algorithm; evolutionary robotics; evolutionary computation theory; finance decision making; bio-inspired architectures; bio-inspired systems; evolutionary computer vision; computational intelligence; bioinformatics; computational biology; many-core architecture; clustering; data mining; evolvable hardware; evolvable software; fitness landscapes; nature-inspired constrained optimization; ant approach; evolutionary algorithms; real-world numerical optimization problems; art; music; genetic programming; memetic algorithms; cultural algorithms; immune algorithms; developmental systems; generative systems; meta-heuristic method; global continuous optimization; operators; learning classifier systems; TSP; routing problems; multi-objective optimization; greedy selection; autonomous agent learning; statistical learning techniques; machine learning techniques; PSO algorithms; medical image analysis; evolutionary programming; differential evolution; evolutionary games; evolved neural networks; complex networks; multi-agent systems; biometrics; biomedical applications; hyper heuristics; coevolutionary systems; artificial ecology and artificial life. C3 - 2011 IEEE Congress on Evolutionary Computation (CEC), 5-8 June 2011 DA - 2011 KW - evolutionary computation optimisation PB - IEEE PY - 2011 SP - 1568 ST - 2011 IEEE Congress on Evolutionary Computation (CEC) TI - 2011 IEEE Congress on Evolutionary Computation (CEC) ID - 887 ER - TY - CONF AB - The following topics are dealt with: systems biology; genetic analysis; dynamic complexity; DMS model; genetic algorithm; mining disease associated biomarker; antiinflammatory target; Chinese herbs;colored petri nets; graph kernel method; SEIR epidemic model; tissue significance tests; apoptosis proteins; data mining; karyotype; protein-protein interactions; genomes; seasonal marine microbial communities interaction patterns; GPU-meta-storms; Hopf bifurcation; prey-predator model; anti-HBV infection therapy model; HMM; kinetic modeling of metabolic networks; anti-cancer effect; stochastic simulation algorithm; spatial specific scoring matrices;non-compact conformation of amino acid sequence;gene regulatory networks; human tissue-specific phosphorylation networks;processing digital gene expression profiles; taxonomy-specific pathway associations detection; anti-rheumatic effects; and cell commitment motif. C3 - 2013 7th International Conference on Systems Biology (ISB), 23-25 Aug. 2013 DA - 2013 KW - bifurcation biological tissues biology computing botany Cancer cellular biophysics Genetic algorithms Genetics graphics processing units Matrix algebra medical computing Microorganisms mining molecular biophysics Petri nets physiological models predator-prey systems Proteins stochastic processes PB - IEEE PY - 2013 ST - 2013 7th International Conference on Systems Biology (ISB) TI - 2013 7th International Conference on Systems Biology (ISB) ID - 1056 ER - TY - CONF AB - The proceedings contain 29 papers. The topics discussed include: dynamical complexity in a predator-preyeco-epidemical system; pharmacophores generation of multiple anti-inflammatory targets and identification of active compounds in Chinese herbs; colored Petri nets for multiscale systems biology - current modeling and analysis capabilities in Snoopy; global stability of the Seir epidemic model with infectivity in both latent period and infected period; subcellular localization prediction of apoptosis proteins based on the data mining for amino acid index database; Hopf bifurcation and Turing instability in a modified Leslie-Gower prey-predator model; dynamical behaviour of an anti-HBV infection therapy model with time-delayed immune response; anti-cancer effect of aloe emodin on breast cancer cells, MCF-7; a method for discriminating native protein-DNA complexes from decoys using spatial specific scoring matrices; and meta-analysis on gene regulatory networks discovered by pairwise granger causality. C3 - 2013 7th International Conference on Systems Biology, ISB 2013, August 23, 2013 - August 25, 2013 DA - 2013 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2013 SN - 23250704 SP - National-Natural Science Foundation of China (NSFC); Academy of Mathematics and Systems Sciences of CAS (AMSS); Shanghai Institutes for Biological Sciences of CAS (SIBS); Hunan University; Computational Systems Biology Society of ORSC ST - 2013 7th International Conference on Systems Biology, ISB 2013 T3 - International Conference on Systems Biology, ISB TI - 2013 7th International Conference on Systems Biology, ISB 2013 ID - 785 ER - TY - CONF AB - The proceedings contain 716 papers. The special focus in this conference is on Manufacturing Technology, Mechatronics, Measurement, Instruments, Electronics and Information Technology, Materials Science, Control and Monitoring, Environmental Engineering. The topics include: Research and design on intelligent decision support system frame for vehicle maintenance; research on gap analysis and compensation of rollers in printing machine; experimental research on the stiffness of air spring; risk assessment of sawing machine oriented to mechanical safety design; review of mechanical structure of force actuator for optical astronomical telescope; fuzzy reliability allocation of CNC grinding machine tools; the contrast for offset method of catmull-Clark subdivision surface; development of virtual test desk for dynamic wheel model; stepping experiment analysis of a biaxial piezoelectric actuated stage; the effect of surface defect on EHL point contact; fault analysis and modification of spray painting robot travelling system; the effects of medium and heavy plate manufacture plan on mill pacing; spindle thermal analysis of CNC milling machine; the study on circular tool of ultrasonic cutting; structure design of a novel biaxial piezoelectric actuated stage; research progress of the laser and low-pressure medium jet composite processing; development of adjustment and durability test machine based on automobile steering column; the application of virtual design on feeding device of precoated laminating machine; driving system design of lifting permanent magnet; innovative design of new type of mobility scooter; application of the CNC system based on PMAC in laser forming machine; web-based design of inject-molding tool and technical service system; development and application of virtual manufacturing technology; preparation of paper-based printing plate and its ink-water balance performance analysis; research on factors influencing the flexographic platemaking quality; study on structural complexity of transmission case production line; research of CAPP system based on the solid edge; structure optimization design for the bed of gear hobbing machine; experimental study of the bolted joint surface contact angle; research on visualization technology of mechanical virtual test system; study on normalizing process for 100mm E40 heavy plate; study on the influence of process parameters on curling springback; application of LED in marine fishery; study on principle of spacecraft surface charge and discharge; research on the design method of single rotor eddy current retarder; submarine maximum speed's influence on the effect of evading an incoming torpedo; application of operations research for production scheduling; study on lost circulation in an extended horizontal well in Cuba; drilling fluid technology for extended-reach horizontal wells in Cuba; research on safety management to promote mechanical safety; 3D CAD model retrieval based on feature fusion; simulation and test of ASAC dynamic characteristic based on ABAQUS; the vibration analysis of five degrees of freedom man-vehicle-road coupled model; finite element analysis of automobile transmission shaft; a cutting force model for face milling operation; a visual EFSM modeling system for protocol testing; dynamics simulation and analysis of planetary reducer; a fast adaptive transmit power and bit allocation in OFDM system; study on UAV path planning simulation; finite element optimization of electric field structure in electrospinning; new method of discernibility matrix formation; an improved BP algorithm and its application; delay-dependent stochastic stability analysis of singular hybrid system; visual modeling and simulation of plant leaves; research on roles modeling of intelligent force based on ontology; an error-reduced ADI-FDTD algorithm in Debye media; research on the interactive technology of reservoir 3D display; volume rendering of 3D borehole data based on GPU; modified iterative sphere decoding algorithm in LTE system; parallel ant system based on OpenMP; a ew genetic algorithm using order coding and a novel genetic operator; application of UML to obviating operation modeling; image registration based on improved ant colony algorithm; improved ant colony algorithm for optimal solution TSP; a smoothing Newton method for solving absolute value equations; credibility evaluation of simulation models; a triangle division based point matching for image registration; cheeger cut model for the balanced data classification problem; existence of high energy solutions for Kirchhoff-type equations; indoor localization algorithm research in intelligent lighting; solutions for a class of the exponential Diophantine equation; solutions for a class of the higher Diophantine equation; an algorithm of global path planning applied for rapid prototyping; a blind watermarking algorithm for 2D CAD drawings based on SVD; modeling and proof of a file system based on micro-kernel; cloud computing environment data mining storage management design; teaching reform and practice of computer control system; efficiency of dynamic GOP length in video stream; analysis of the remote emergency care in wartime; network video retrieval technology analysis and research; the research and implementation of XBRL data service platform; research on PHP agile development framework; design for the township e-government system based on wap and web; zero-copy implementation in the Linux operating system; key technologies of cloud computing model; an implementation of ant colony optimization algorithm using java; a method for key updating of IBE with wildcards; IT-based framework for food security supervision; building quotient cube with mapreduce in hadoop; image retrieval based on color-statistic feature; anti-missile network edge importance research; study on meta-data of network information resources; node importance evaluation of anti-missile networks; migrating resources and rebuilding educational apps store in metro age; the medical infusion alarm system based on the smart phone platform; design of the examination inspect system based on the network; virtual reality and virtual reality system components; a semantic parsing model applied into search engine; user behavior analysis based on Gn interface of GPRS network; network attack characteristics of automatic data extraction technology; a modeling study of sensor data; a spatial data security model under the cloud environment; a development model of semantic web application; LSSVM-based social spam detection model; design of SSL VPN system based on RBAC access; video call traffic identification based on Bayesian model; critical operations selecting method; a survey of cloud workflow; analyzing of dynamic characteristics for discrete S-PCNN; hierarchy model of application framework; construct a credit evaluation framework of e-commerce; improving listening skills of ESL students through web-based technology; an adaptive topic crawler for electronic public opinion; information security risk assessment on complex information system; context-aware personalization recommendation of web services; component based method for usability testing of a website; application of data mining in the guidance of sports training; study on application of honeypot in campus net security; personalized search ranking based on semantic tag; keywords extraction based on text classification; analysis framework of freemodbus; a TPA based efficient non-repudiation scheme for cloud storage; function and database design of storage management system; multitask similarity cluster; research on affecting college graduates' employment selection based on AHP; SQL query algorithm based on restricted Chinese; a car locator system for indoor parking areas; a SDN-controlled ECMP QoS solution for data networks; Qos constraints-based energy-efficient model for IP networks; a new dynamic protocol analysis model; design and implementation of general spacecraft control language; automatic gain control of EDFAs using DSP; application of fuzzy control in sewage treatment system; research on a new access contro technology; the design of servo loop bandwidth based on fuzzy control theory; SVM inverse control method to nonlinear systems; study on vibration controller based on adaptive inverse method; design of an automatic magnetic balance system; research on general scheme for curtain wall cleaning robot; the application of EEMD to fault diagnosis of rolling bearing; research on monitoring system for factory aquaculture; research on the ventilator noise sound intensity measure; a new method for heavy-haul train operation monitoring; cause analysis and diagnosis of unbalanced vibration of rotor; design of remote monitoring system based on configuration software; study on lane detection based on computer vision; research on cloud platform for wind turbine fault diagnosis; measuring technology and its application for an SI model; a study on space debris observation system using radio telescope; technology research on intelligent infrared gas analyzer; the research of blood glucose monitoring system based on biosensor; automatic analysis of mineral's abundance; analysis on the static features of flame images; research on fuel cell power generation system model with grid; a design of electronic laser harp based on SCM; realization of electronic scoring device on ball games; power system simulation data description and conversion; response status evaluation of sensitive equipment to voltage sag; a design of FPGA-based interpolator on digital integration; design of intelligent system for LED lighting based on PWM. C3 - 2013 International Conference on Advances in Materials Science and Manufacturing Technology, AMSMT 2013, May 18, 2013 - May 19, 2013 DA - 2013 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Trans Tech Publications Ltd PY - 2013 SN - 10226680 ST - 2013 International Conference on Advances in Materials Science and Manufacturing Technology, AMSMT 2013 T3 - Advanced Materials Research TI - 2013 International Conference on Advances in Materials Science and Manufacturing Technology, AMSMT 2013 VL - 765-767 ID - 605 ER - TY - CONF AB - The proceedings contain 65 papers. The topics discussed include: overcoming challenges in global software development: the role of brokers; an energy-based model to optimize cluster visualization; analyzing the concept of quality in model-driven engineering literature: a systematic review; organizational and customer related challenges of software testing: an empirical study in 11 software companies; a preliminary analysis of theorizing effort in ERP research; on the use of intrinsic time scale for dynamic community detection and visualization in social networks; collaborative management of applications in enterprise social networks; mining bipartite graphs to improve semantic pedophile activity detection; taking goal models downstream: a systematic roadmap; and exploring alternative designs of sociotechnical systems. C3 - 8th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2014, May 28, 2014 - May 30, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2014 SN - 21511349 SP - EMSI;-IEEE Morocco Section; Laboratoire de Mathematiques Informatique et Applications (LAMIA) ST - 2014 IEEE 8th International Conference on Research Challenges in Information Science, IEEE RCIS 2014 T3 - Proceedings - International Conference on Research Challenges in Information Science TI - 2014 IEEE 8th International Conference on Research Challenges in Information Science, IEEE RCIS 2014 ID - 494 ER - TY - CONF AB - The proceedings contain 477 papers. The special focus in this conference is on Energy Research and Power Engineering. The topics include: Z-transform implementation of the CFS-PML for truncating 3D meta-material FDTD domains; analyze the effect of thermal conductivity of cold insulation materials in cryogenic engineering; application of hall effect in semiconductor material; determination of the optical constants of gallium oxide films; investigating on the flow distribution of a planar solid oxide fuel cell stack; synthesis and performance evaluation of pour point depressants for lubricating oil; the effect of field emission characteristic on partial arc caused by pollutant and water; the improving measures research on the cycle life of lead-acid batteries for electric vehicles; a review of fluorinated proton exchange membrane; effects of drying process on lignite quality; a costal wave energy power station equipment; a heuristic analysis method for the impact of DGs to power system reliability; a research on fixed series compensation; a research summary on combined peaking load strategies of nuclear power plant; an improved FCM algorithm based on subtractive clustering for power load classification; analysis of industrial structure optimization based on energy saving; analysis of passive residual heat removal system at primary side when station blackout occurs; analysis on capacity of transmission line based on thermal rating; design and develop resources investigation and evaluation system of electric power DSM; features and application analysis of advanced small nuclear power reactors; method based on multi-attribute decision making of receiving-end power grid DC location selection; micro-grid fault transient characteristics and relay protection; optimal energy management for smart distribution grid based on virtual power plant; optimized electric vehicle charging pricing method using game theory; power system planning by simulation; reactive compensation research of HVAC cables for offshore wind farms; research for smart micro-grid system of optimal operation on the island; research on economic security evaluation of China's coal cities based on neural network; research on electricity load of three industries and residents' life; safeguard mechanism research for effective implementation of energy tax policy reform; short-term load forecasting based on GA-Elman model; smart grid and its application; spatial electric load forecasting based on least squares support vector; study on effects of solar generation on power grid; study on the framework of fission product source term for nuclear power plants; sustained overvoltage control considering power system restoration dynamic process; the applications of series compensation device in 10kv voltage level; the data planning methodology researching on the construction of nuclear plant engineering; the influence of detailed onshore and offshore wind farm models on the system voltage level; the research of variable speed constant frequency wind power generation technology; transient stability of wind power system with DFIG; vulnerability assessment method for distribution network; the central air-conditioning energy saving system; the research on seismic performance of tower under icing condition; research on reservoir characteristics in San Zhao peripheral zone; study on the feasibility of SRV in coal reservoir; effects of thermal discharge from nuclear power plant on phytoplankton; factors affecting mercury oxidation by SCR catalysts; classification of surrounding rock of bolt supported in coal mine roadway; design of hydraulic experimental system of oil drilling and production; a study on exhaust muffler using counter-phase counteract; analysis of pipe structure stress affected by double corrosion points; SOC estimation on PNGV model and hybrid electric vehicle; study on desorption temperature of adsorption bed in typical weather conditions; study on milling deformation of ruled surface blade; test and analysis on assembly deformation of diesel engine cylinder liner design and research of offshore drilling platform electric power system; finite element analysis for the collapse accident of a 110kv transmission tower; power transformer core column section optimization model and design; research on the hydrodynamic performance of a wave energy converter; study on 110kv composite material transmission poles and towers; thermal analysis of gas insulated bus based on multiple species transport technique; application of biomass burning stove in the greenhouse environment; the analysis of the effect of fouling on the performance of the fill layer; research on the lithium battery pack cooling by thermal simulation; a new type of brushless DC motor control strategy; active control model of island multiple generators system; brake pedal feel verification of the energy recovery system; design of controller of permanent magnet brushless DC motor for electric vehicle; design of permanent magnet synchronous motor servo system; design of the stepper motor control system based on FPGA; research of a robust control for electro hydraulic servo system; research of direct torque control of asynchronous motor; research on controller of micro-hydro power system; stator resistance identification and simulation analysis based on fuzzy logic; development of engine exhaust active noise control system; energy saving matching of power equipment for four-footed robot dog; research of effect of battery participating in demand response; research on distributed power quality monitoring system of oilfield; review of AGC and primary frequency regulation; study on control strategy of the grid-side converter on doubly-fed induction generator system; study on improving power system damping by using DPFC; the simulation research of SVG control algorithm based on unbalanced power system; a power control technology adapting to temperature change; the effect of dead zone mode on electric vehicle PWM speed control system; a energy saving routing algorithm based on shortest path tree; a review of regional reactive power optimization techniques; clustering algorithm of wireless sensor network based on energy optimized; research on market model for China forest carbon-sink in coal mines; wire suspension system based on fault tree analysis running condition assessment; parameters optimization of LQR for magnet power supply of accelerator; fir sine interpolation algorithm based on pipeline and parallel technology; a new fault location method for 10 KV distribution lines with branches; fault location based on Bayesian classifier; improvement and application of fan fault diagnosis of power plant based on fuzzy rules; method of measurement and computing for natural gas energy; research of process procedures in lighting impulse measurement software; research on the measurement of household appliance impedance characteristic; study on a new test and diagnosis method for complex integrated circuit; the analysis of device model in CMOS integrated temperature sensor; analysis of active power loss for reactive power compensation devices; the application of wireless sensor networks in power engineering; the field test of high voltage cable impedance parameters; the present situation and progress of vibration environment test technology; design and construction of railway cracks detection based on eddy current; a novel testing method of low voltage fuel cell; a new autonomous chaotic system and its circuit simulation; a voltage compensation circuit for flash memory; analogy teaching method of high-frequency electronic circuit; calculation of leakage magnetic field and short-circuit impedance of power transformer; design of a fixed-frequency beam-scanning antenna controlled by voltage; design of switch transformer about half bridge switching power supply; design research of unit power factor power converter; error calibration of three-phase method for combined transformer; realization of OTA-based grounded gyrators using nodal admittance matrix expansion; research on harm of harmonics on electrical equipment; simulation of function generat r; study on the lithium-ion batteries performance of electric vehicles; the technology study of new asymmetrical half-bridge converter; a cell balancing system based on charge shuttling method; analysis of new deceleration strip device to generate electricity; design of the three-phase photovoltaic grid-connected inverter; research of single phase short fault in one-generator infinite bus power systems; research on photovoltaic DC power supply system for office; study on simulation model on partial discharge in void of solid insulation; the model for PV array based PSIM; the research on establishing method of the broadband nonlinear transformer model; analysis of the channel capacity under OFDM system with insufficient CP; channel estimation algorithms for MB-OFDM based UWB system; a new clustering routing algorithm of wireless sensor network; research on the convergence trend of power communication network; analysis research of power GIS thematic application based on web services technology; application of virtualization technology in nuclear power plant; research and application of mobile internet technology in power; the design of emergency management system for thermal power plant based on B/S architecture; relationship of three rock parameters and the comparative analysis of an official and experimental building. C3 - 2014 International Conference on Energy Research and Power Engineering, ERPE 2014, May 17, 2014 - May 18, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Trans Tech Publications Ltd PY - 2014 SN - 10226680 ST - 2014 International Conference on Energy Research and Power Engineering, ERPE 2014 T3 - Advanced Materials Research TI - 2014 International Conference on Energy Research and Power Engineering, ERPE 2014 VL - 986-987 ID - 738 ER - TY - CONF AB - The proceedings contain 36 papers. The topics discussed include: the status and prospect of process improvements in China; principles for successful systems and software processes; software processes for a changing world; a model for analyzing estimation, productivity, and quality performance in the personal software process; COCOMO II parameters and IDPD: bilateral relevances; initial evaluation of data quality in a TSP software engineering project data repository; towards an understanding of enabling process knowing in global software development: a case study; a case study on software ecosystem characteristics in industrial automation software; software process simulation modeling: preliminary results from an updated systematic review; refactoring planning and practice in agile software development: an empirical study; and agile development with software process mining. C3 - 2014 International Conference on Software and Systems Process, ICSSP 2014, May 26, 2014 - May 28, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2014 SP - Huawei-Technologies Co. Ltd.; International Software Process Association (ISPA); Nanjing University ST - 2014 International Conference on Software and Systems Process, ICSSP 2014 - Proceedings T3 - ACM International Conference Proceeding Series TI - 2014 International Conference on Software and Systems Process, ICSSP 2014 - Proceedings ID - 499 ER - TY - CONF AB - The following topics are dealt with: Systems Science and Engineering; Decision Support Systems Based on Multicriteria Models; Distributed Adaptive Systems; Intelligent Learning in Control Systems; Robotics, Human Machine Interface, and Haptics; Intelligent Manufacturing Processes and Innovative Applications; Discrete Event and Hybrid Systems; Meta-synthesis and Complex Systems; Conflict Resolution; Grey Systems: Theory and Applications; Global Energy Internet; Medical Mechatronics; SMC: Systems Science; Human-Machine Systems; Automation Design and Intelligence Control Applications; Risk Management of Information and Control Systems; Proactive Health Care Systems: Methodologies and Applications; Human Centered Transportation Systems; Collaborative Wireless Sensor Networks and Internet of Things; Collaborative Technologies and Applications; Interaction-Centered Analytics and Design for Human-Centric Systems; Assistive and Rehabilitative Technology and Applications; Cybernetics; Intelligent Internet Systems; Fuzzy Methods for Uncertain Data Mining; Quantum Cybernetics and Learning Systems; Soft Computing; Machine Learning and Information Retrieval in Big Data Environment; Matrix and Tensor Analysis for Big Vision; Innovations in Fuzzy Systems and Applications; Knowledge Engineering in Medical Informatics; Medical and Health Care Engineering; Cognitive Agents and Robotics for Human-Centric Systems: New Models and Challenges; Intelligent Healthcare; Intelligent Vehicle Systems and Control; Granular Computing; Tensor Product Applications; Computing Aspects of Big Data; Emerging Technologies and Applications in Computer Intelligence; Computational Intelligence Methods for Big Data Analytics; BMI Workshop; Shared Control; Multimodal Brain Computer Interface and Physiological Computing; Real World Applications of Brain Computer Interface Systems; User-Training in EEG-Based Brain-Computer Interfaces; Computational Intelligence and Machine Learning for BCI. C3 - 2015 IEEE International Conference on Systems, Man and Cybernetics (SMC), 9-12 Oct. 2015 DA - 2015 KW - Big data brain-computer interfaces control systems Cybernetics Decision support systems electroencephalography Granular computing grey systems haptic interfaces Health care information retrieval Internet of things man-machine systems Mechatronics Risk management Robots Systems engineering PB - IEEE PY - 2015 SP - 576 ST - 2015 IEEE International Conference on Systems, Man and Cybernetics (SMC) TI - 2015 IEEE International Conference on Systems, Man and Cybernetics (SMC) ID - 1302 ER - TY - CONF AB - The proceedings contain 47 papers. The topics discussed include: a bi-criteria algorithm for low-carbon and QoS-aware routing in cloud computing infrastructures; a cloud based framework for platform as a service; a high performance cloud computing solution for training and laboratories; a robust framework for asynchronous operations on a functional object-oriented model; a secure clustering in MANET through direct trust evaluation technique; acceptance of e-government services in Sudan: an empirical investigation; air pollution measures in Riyadh city and personal exposure level; an efficient and secured grid-enabler interface for large-scale systems; an indoor emergency guidance algorithm based on wireless sensor networks; analysis of security and privacy in public cloud environment; Arabic text mining a systematic review of the published literature 2002-2014; big data processing systems: state-of-the-art and open challenges; and cloud computing adoption by higher education institutions in Saudi Arabia: analysis based on TOE. C3 - 1st International Conference on Cloud Computing, ICCC 2015, April 26, 2015 - April 29, 2015 DA - 2015 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 ST - 2015 International Conference on Cloud Computing, ICCC 2015 T3 - 2015 International Conference on Cloud Computing, ICCC 2015 TI - 2015 International Conference on Cloud Computing, ICCC 2015 ID - 497 ER - TY - JOUR ST - 2325175 - Discovering What You Want TI - 2325175 - Discovering What You Want: Using Custom Entities in Text Mining UR - http://www.sas.com/en_us/offers/sem/discovering-what-you-want-107347.html http://www.sas.com/en_us/offers/sem/discovering-what-you-want-107347.html?keyword=%2Btext+%2Bmining&matchtype=b&publisher=google&gclid=CMWq1bTsqM8CFZI8gQodhFUE9A Y2 - 2016/09/24/20:31:21 ID - 2477 ER - TY - CONF AB - The proceedings contain 369 papers. The topics discussed include: a meta-learning approach for selecting between response automation strategies in a help-desk domain; joint inference in information extraction; content analysis for proactive intelligence: marshaling frame evidence; mining sequential patterns and tree patterns to detect erroneous sentences; single document summarization with document expansion; recognizing textual entailment using a subsequence kernel method; uncertainty in preference elicitation and aggregation; learning equilibrium in resource selection games; action-based alternating transition systems for arguments about action; implementing the maximum of monotone algorithms; intention guided belief revision; the impact of network topology on pure Nash equilibria in graphical games; automated online mechanism design and Prophet inequalities; and computing pure Nash equilibria in symmetric action graph games. C3 - AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference, July 22, 2007 - July 26, 2007 DA - 2007 KW - artificial intelligence automation Information analysis Innovation Online Systems Topology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Association for Artificial Intelligence PY - 2007 SP - Association-for the Advancement of Artificial Intelligence, AAAI; National Science Foundation, NSF; ACM, SIGART; Boeing; Cornell University, Intelligent Information Systems Institute; et al ST - AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference T3 - Proceedings of the National Conference on Artificial Intelligence TI - AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference VL - 2 ID - 1265 ER - TY - JOUR AB - Abnormal corpus callosum (CC) has been reported in childhood trauma-related posttraumatic stress disorder (PTSD); however, the nature of white matter (WM) integrity alterations in the CC of young adult-onset PTSD patients is unknown. In this study, 14 victims of a coal mine gas explosion with PTSD and 23 matched coal miners without experiencing the coal mine explosion were enrolled. The differences in fractional anisotropy (FA) within 7 sub-regions of the CC were compared between the two groups. Compared to the controls, PTSD coal miners exhibited significantly reduced FA values in the anterior sub-regions of the CC (P < 0.05, Bonferroni-corrected), which mainly interconnect the bilateral frontal cortices. Our findings indicated that the anterior part of the CC was more severely impaired than the posterior part in young adult-onset PTSD, which suggested the patterns of CC impairment may depend on the developmental stage of the structure when the PTSD occurs. AU - Zhang, Yang AU - Li, Huabing AU - Lang, Xu AU - Zhuo, Chuanjun AU - Qin, Wen AU - Zhang, Quan DA - 2015/03/23/ DO - 10.1371/journal.pone.0121095 IS - 3 PY - 2015 SN - 1932-6203 SP - e0121095 ST - Abnormality of the Corpus Callosum in Coalmine Gas Explosion-Related Posttraumatic Stress Disorder T2 - Plos One TI - Abnormality of the Corpus Callosum in Coalmine Gas Explosion-Related Posttraumatic Stress Disorder VL - 10 ID - 2243 ER - TY - CONF AB - Semantic analysis extracts semantic information from natural language texts and endeavors to make implicit facts explicit. Context and experience - in terms of previously achieved knowledge - are essential to solve this task. Confident semantic information from ambiguous natural language can only be obtained if set in a sufficient context. Conventional Named Entity Mapping algorithms use context as positive example environment for the disambiguation process. Traditional machine learning algorithms also apply negative examples to train a classifier for a specific subject. For Named Entity Mapping this can trivially be achieved by manual curation of black lists. These black lists contain entities that do not make sense in the given context. This paper describes an approach how to achieve a negative context dynamically during the disambiguation process and how to make use of this negative context for subsequent analysis steps. AU - Steinmetz, N. AU - Sack, H. C3 - 2013 IEEE Seventh International Conference on Semantic Computing (ICSC), 16-18 Sept. 2013 DA - 2013 DO - 10.1109/ICSC.2013.32 KW - meta data natural language processing text analysis PB - IEEE Computer Society PY - 2013 SP - 134-41 ST - About the Influence of Negative Context T3 - 2013 IEEE Seventh International Conference on Semantic Computing (ICSC) TI - About the Influence of Negative Context UR - http://dx.doi.org/10.1109/ICSC.2013.32 ID - 1114 ER - TY - CONF AB - We propose an abstraction mechanism of the low-level digital video features for the automatic retrievals of the explosion scenes from the digital video library. In the proposed abstraction mechanism, the regional dominant colors of the key frame and the motion energy of the shot are defined as the primary low-level visual features of the shot for the explosion scene retrievals. The regional dominant colors of shot are selected by dividing its key frame image into several regions and extracting their regional dominant colors, and the motion energy of the shot is defined as the edge image differences between key frame and its neighboring frame. Upon the extensive experimental results, we could argue that the recall and precision of the proposed abstraction and detecting algorithm are about 0.8, and also found that they are not sensitive to the thresholds. AU - Jongho, Nang AU - Jinguk, Jeong AU - Sungyong, Park AU - Hojung, Cha C3 - Advances in Multimedia Information Processing - PCM 2002. Third IEEE Pacific Rim Conference on Multimedia. Proceedings, 16-18 Dec. 2002 DA - 2002 KW - edge detection image retrieval multimedia databases video coding video databases PB - Springer-Verlag PY - 2002 SP - 200-8 ST - An abstraction of low level video features for automatic retrievals of explosion scenes T3 - Advances in Multimedia Information Processing - PCM 2002. Third IEEE Pacific Rim Conference on Multimedia. Proceedings (Lecture Notes in Computer Science Vol2532) TI - An abstraction of low level video features for automatic retrievals of explosion scenes ID - 756 ER - TY - JOUR AB - Latitudinal patterns in biotic interactions, including herbivory, have been widely debated during the past years. In particular, recent meta-analysis questioned the hypothesis that herbivory increases from the poles towards the equator. Our study was designed to verify this hypothesis by exploring latitudinal patterns in abundance and diversity of birch-feeding insect herbivores belonging to the leafminer guild in northern Europe, from 59 degrees to 69 degrees N. We collected branches from five mature trees of two birch species (Betula pendula and B. pubescens) at each study site (ten sites for each of five latitudinal gradients) twice per season (in early and late summer of 2008-2011) and attributed all mines found on leaves of these branches to a certain taxon of insects. Latitudinal patterns were quantified by calculating Spearman rank correlation coefficients between both abundance and diversity of leafmining taxa and latitudes of sampling sites. In general, both abundance and diversity of leafminers significantly decreased with latitude. However, we discovered pronounced variation in patterns of latitudinal changes among study years and leafminer taxa. Variation among study years was best explained by mean temperatures in July at the northern ends of our gradients. During cold years, abundance of leafminers significantly decreased with latitude, while during warm years the abundance was either independent of latitude or even increased towards the pole. In the northern boreal forests (66 degrees to 69 degrees N), herbivores demonstrated larger changes in densities in response to temperature variations than in the boreo-nemoral forests (59 degrees to 62 degrees N). Our data suggest that climate warming will result in a stronger increase in herbivory at higher latitudes than at lower latitudes. AU - Kozlov, Mikhail V. AU - van Nieukerken, Erik J. AU - Zverev, Vitali AU - Zvereva, Elena L. DA - 2013/10// DO - 10.1111/j.1600-0587.2013.00272.x IS - 10 L1 - internal-pdf://3522114935/Kozlov-2013-Abundance and diversity of birch-f.pdf PY - 2013 SN - 0906-7590 SP - 1138-1149 ST - Abundance and diversity of birch-feeding leafminers along latitudinal gradients in northern Europe T2 - Ecography TI - Abundance and diversity of birch-feeding leafminers along latitudinal gradients in northern Europe UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/j.1600-0587.2013.00272.x/asset/j.1600-0587.2013.00272.x.pdf?v=1&t=itiuv2w1&s=882dcaf0ca9c5f4f462629b61f7447357af38c75 VL - 36 ID - 1961 ER - TY - JOUR AB - OBJECTIVES: To review the issues that have arisen with the advent of translational research in terms of integration of data and knowledge, and survey current efforts to address these issues. METHODS: Using examples form the biomedical literature, we identified new trends in biomedical research and their impact on bioinformatics. We analyzed the requirements for effective knowledge repositories and studied issues in the integration of biomedical knowledge. RESULTS: New diagnostic and therapeutic approaches based on gene expression patterns have brought about new issues in the statistical analysis of data, and new workflows are needed are needed to support translational research. Interoperable data repositories based on standard annotations, infrastructures and services are needed to support the pooling and meta-analysis of data, as well as their comparison to earlier experiments. High-quality, integrated ontologies and knowledge bases serve as a source of prior knowledge used in combination with traditional data mining techniques and contribute to the development of more effective data analysis strategies. CONCLUSION: As biomedical research evolves from traditional clinical and biological investigations towards omics sciences and translational research, specific needs have emerged, including integrating data collected in research studies with patient clinical data, linking omics knowledge with medical knowledge, modeling the molecular basis of diseases, and developing tools that support in-depth analysis of research data. As such, translational research illustrates the need to bridge the gap between bioinformatics and medical informatics, and opens new avenues for biomedical informatics research. AU - Burgun, A. AU - Bodenreider, O. DA - 2008 J2 - Yearb Med Inform KW - Biomedical Research/organization & administration/*trends Computational Biology/*trends Computer Communication Networks Databases as Topic/*organization & administration/trends Information Management Medical Informatics Applications Systems Integration Vocabulary, Controlled LA - eng PY - 2008 SN - 0943-4747 0943-4747 SP - 91-101 ST - Accessing and integrating data and knowledge for biomedical research T2 - Yearbook of medical informatics TI - Accessing and integrating data and knowledge for biomedical research ID - 271 ER - TY - JOUR AU - Hirschman, Lynette AU - Park, Jong C. AU - Tsujii, Junichi AU - Wong, Limsoon AU - Wu, Cathy H. DA - 2002 DP - Google Scholar IS - 12 L1 - http://bioinformatics.oxfordjournals.org/content/18/12/1553.full.pdf PY - 2002 SP - 1553-1561 ST - Accomplishments and challenges in literature data mining for biology T2 - Bioinformatics TI - Accomplishments and challenges in literature data mining for biology UR - http://bioinformatics.oxfordjournals.org/content/18/12/1553.short VL - 18 Y2 - 2016/09/24/16:07:04 ID - 2431 ER - TY - CONF AB - This paper addresses an application of anomaly detection from subsequences of time series (STS) to autonomous robots' behaviors. An important aspect of mining sequential data is selecting the temporal parameters, such as the subsequence length and the degree of smoothing. For example in the task at hand, the patterns of the robot's velocity, which is one of its fundamental features, vary significantly subject to the interval for measuring the displacement. Selecting the time scale and resolution is difficult in unsupervised settings, and is often more critical than the choice of the method. In this paper, we propose an ensemble framework for aggregating anomaly detection from different perspectives, i.e., settings of user-defined, temporal parameters. In the proposed framework, each behavior is labeled whether it is an anomaly in multiple settings. The set of labels are used as meta-features of the respective behaviors. Cluster analysis in a meta-feature space partitions anomalous behaviors pertained to a specific range of parameters. The framework also includes a scalable implementation of the instance-based anomaly detection. We evaluate the proposed framework by ROC analysis, in comparison to conventional ensemble methods for anomaly detection. Copyright SIAM. AU - Ando, Shin AU - Thanomphongphan, Theerasak AU - Hoshino, Daisuke AU - Seki, Yoichi AU - Suzuki, Einoshin C3 - 11th SIAM International Conference on Data Mining, SDM 2011, April 28, 2011 - April 30, 2011 DA - 2011 KW - Cluster Analysis data mining N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Society for Industrial and Applied Mathematics PY - 2011 SP - 1-12 ST - ACE: Anomaly clustering ensemble for multi-perspective anomaly detection in robot behaviors T3 - Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011 TI - ACE: Anomaly clustering ensemble for multi-perspective anomaly detection in robot behaviors ID - 947 ER - TY - JOUR AB - Objective: This paper introduces the objectives, methods and results of ontology development in the EU co-funded project Advancing Clinico-genomic Trials on Cancer - Open Grid Services for Improving Medical Knowledge Discovery (ACGT). While the available data in the life sciences has recently grown both in amount and quality, the full exploitation of it is being hindered by the use of different underlying technologies, coding systems, category schemes and reporting methods on the part of different research groups. The goal of the ACGT project is to contribute to the resolution of these problems by developing an ontology-driven, semantic grid services infrastructure that will enable efficient execution of discovery-driven scientific workflows in the context of multi-centric, post-genomic clinical trials. The focus of the present paper is the ACGT Master Ontology (MO). Methods: ACGT project researchers undertook a systematic review of existing domain and upper-level ontologies, as well as of existing ontology design software, implementation methods, and end-user interfaces. This included the careful study of best practices, design principles and evaluation methods for ontology design, maintenance, implementation, and versioning, as well as for use on the part of domain experts and clinicians. Results: To date, the results of the ACGT project include (i) the development of a master ontology (the ACGT-MO) based on clearly defined principles of ontology development and evaluation; (ii) the development of a technical infrastructure (the ACGT Platform) that implements the ACGT-MO utilizing independent tools, components and resources that have been developed based on open architectural standards, and which includes an application updating and evolving the ontology efficiently in response to end-user needs; and (iii) the development of an Ontology-based Trial Management Application (ObTiMA) that integrates the ACGT-MO into the design process of clinical trials in order to guarantee automatic semantic integration without the need to perform a separate mapping process. [All rights reserved Elsevier]. AU - Brochhausen, M. AU - Spear, A. D. AU - Cocos, C. AU - Weiler, G. AU - Martin, L. AU - Anguita, A. AU - Stenzhorn, H. AU - Daskalaki, E. AU - Schera, F. AU - Schwarz, U. AU - Sfakianakis, S. AU - Kiefer, S. AU - Dorr, M. AU - Graf, N. AU - Tsiknakis, M. DA - 2011/02// DO - 10.1016/j.jbi.2010.04.008 IS - 1 J2 - Journal of Biomedical Informatics KW - Cancer data mining Genomics Grid computing medical information systems ontologies (artificial intelligence) personal computing User interfaces L1 - internal-pdf://4131174016/Brochhausen-2011-The ACGT Master Ontology and.pdf PY - 2011 SN - 1532-0464 SP - 8-25 ST - The ACGT Master Ontology and its applications - Towards an ontology-driven cancer research and management system T2 - Journal of Biomedical Informatics TI - The ACGT Master Ontology and its applications - Towards an ontology-driven cancer research and management system UR - http://dx.doi.org/10.1016/j.jbi.2010.04.008 http://ac.els-cdn.com/S1532046410000559/1-s2.0-S1532046410000559-main.pdf?_tid=b9a644f8-832e-11e6-870c-00000aab0f01&acdnat=1474814918_15aa65968263bcf49ea34374010a9fff VL - 44 ID - 653 ER - TY - JOUR AB - In many real world applications, comprehensibility of the classifier is as important as its accuracy. The medical field is one of those where this requirement is more pronounced. It is not enough for users in this field to have an accurate classifier, and they also need to verify and analyze the logic of the classification process. It is difficult to have confidence in a black box type of classifier when the classification decision is a matter of life and death of a patient. In recent years, algorithms for classification rule discovery based on the ant colony optimization meta-heuristic (ACO,) have been proposed, which fulfill both the requirements of high accuracy and comprehensibility. This paper reports some improvements in a recently proposed ACO based classification algorithm, called CAntMiner, whose main feature is a heuristic function based on the compatibility of pairs of attribute-values and class labels, and its application on medical datasets. We study the performance of the algorithm for twelve commonly used datasets and compare it with ten well known classification algorithms, three of which are ACO based. Experimental results show that the accuracy rate obtained by CAntMiner is better than that of the compared algorithms. We also discuss some other issues related to comprehensibility of the classifier building process. AU - Baig, Abdul Rauf AU - Shahzad, Waseem AU - Khan, Salabat AU - Altaf, Fariha DA - 2011/11// IS - 11 PY - 2011 SN - 1349-4198 SP - 6147-6159 ST - ACO BASED DISCOVERY OF COMPREHENSIBLE AND ACCURATE RULES FROM MEDICAL DATASETS T2 - International Journal of Innovative Computing Information and Control TI - ACO BASED DISCOVERY OF COMPREHENSIBLE AND ACCURATE RULES FROM MEDICAL DATASETS VL - 7 ID - 2036 ER - TY - JOUR AB - To solve the acquisition problem of product Design Rational (DR), an approach of acquiring DR from history design documents was proposed based on big data information technology and information extraction technology. The concept of design gene was introduced to expand Intention Drive Design Rational (IDDR) model, and Design Intention Chain (DIC) model with design gene was put forward. The method to extract design gene and DIC by using big data technology and information extraction technology was elaborated. The proposed DIC was inspected and repaired to construct the meta data set. According to design gene and design intention, DIC was stitched to obtained DR knowledge, and the effectiveness of proposed method was verified with examples. 2016, CIMS. All right reserved. AU - Wang, Zheng AU - Zhou, Jingtao AU - Yang, Haicheng DA - 2016 DO - 10.13196/j.cims.2016.03.002 IS - 3 J2 - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS KW - Big data data mining Design Digital storage Genes Information analysis information retrieval Knowledge acquisition Product Design N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 10065911 SP - 589-596 ST - Acquisition method of design rational for large amounts of historical design information T2 - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS TI - Acquisition method of design rational for large amounts of historical design information UR - http://dx.doi.org/10.13196/j.cims.2016.03.002 VL - 22 ID - 1163 ER - TY - JOUR AB - Horizontal transfer of genes of selective value in an environment 6 years after their introduction into a watershed has been observed. Expression of the gene pheA, which encodes phenol monooxygenase and is linked to the pheBA operon (A. Nurk, L. Kasak, and M. Kivisaar, Gene 102:13-18, 1991), allows pseudomonads to use phenol as a growth substrate. Pseudomonas putida strains carrying this operon on a plasmid were used for bioremediation after an accidental fire in the Estonia oil shale mine in Estonia in 1988. The water samples used for studying the fate of the genes introduced were collected in 1994. The same gene cluster was also detected in Pseudomonas strains isolated from water samples of a nearby watershed which has been continuously polluted with phenols due to oil shale industry leachate. Together with the more frequently existing counterparts of the dmp genes (V. Shingler, J. Powlowski, and U. Marklund, J. Bacteriol. 174:711-724, 1992), the pheA gene was also represented in the phenol-degrading strains. The area where the strains containing the pheA gene were found was restricted to the regular route of phenolic leachate to the Baltic Sea. Nine Pseudomonas strains belonging to four different species (P. corrugata, P. fragi, P. stutzeri, and P. fluorescens biotypes B, C, and F) and harboring horizontally transferred pheBA operons were investigated. The phe genes were clustered in the same manner in these nine phe operons and were connected to the same promoter as in the case of the original pheBA operon. One 10.6-kb plasmid carrying a pheBA gene cluster was sequenced, and the structure of the rearranged pheBA operon was described. This data indicates that introduced genetic material could, if it encodes a beneficial capability, enrich the natural genetic variety for biodegradation. AU - Peters, M. AU - Heinaru, E. AU - Talpsep, E. AU - Wand, H. AU - Stottmeister, U. AU - Heinaru, A. AU - Nurk, A. DA - 1997/12// IS - 12 PY - 1997 SN - 0099-2240 SP - 4899-4906 ST - Acquisition of a deliberately introduced phenol degradation operon, pheBA, by different indigenous Pseudomonas species T2 - Applied and Environmental Microbiology TI - Acquisition of a deliberately introduced phenol degradation operon, pheBA, by different indigenous Pseudomonas species VL - 63 ID - 2127 ER - TY - CONF AB - The increasing power of techniques to model complex geometry and extract meaning from 3D information create complex data that must be described, stored, and displayed to be useful to researchers. Responding to the limitations of two-dimensional (2D) data representations perceived by discipline scientists, the Partnership for Research in Spatial Modeling (PRISM) project at Arizona State University (ASU) developed modeling and analytic tools that raise the level of abstraction and add semantic value to 3D data. The goals are to improve scientific communication, and to assist in generating new knowledge, particularly for natural objects whose asymmetry limit study using 2D representations. The tools simplify analysis of surface and volume using curvature and topology to help researchers understand and interact with 3D data. The tools produced automatically extract information about features and regions of interest to researchers, calculate quantifiable, replicable metric data, and generate metadata about the object being studied. To help researchers interact with the information, the project developed prototype interactive, sketch-based interfaces that permit researchers to remotely search, identify and interact with the detailed, highly accurate 3D models of the objects. The results support comparative analysis of contextual and spatial information, and extend research about asymmetric man-made and natural objects. AU - Rowe, J. AU - Razdan, A. AU - Simon, A. C3 - Proceedings 2003 Joint Conference on Digital Libraries, 27-31 May 2003 DA - 2003 KW - computational geometry data acquisition data analysis data visualisation Digital Libraries feature extraction Information analysis Internet meta data query processing solid modelling spatial data structures User interfaces visual databases PB - IEEE Comput. Soc. PY - 2003 SP - 147-58 ST - Acquisition, representation, query and analysis of spatial data: a demonstration 3D digital library T3 - Proceedings 2003 Joint Conference on Digital Libraries TI - Acquisition, representation, query and analysis of spatial data: a demonstration 3D digital library ID - 1138 ER - TY - CONF AB - Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe a real-world, deployed application of AL to the problem of biomedical citation screening for systematic reviews at the Tufts Medical Center's Evidence-based Practice Center. We propose a novel active learning strategy that exploits a priori domain knowledge provided by the expert (specifically, labeled features) and extend this model via a Linear Programming algorithm for situations where the expert can provide ranked labeled features. Our methods outperform existing AL strategies on three real-world systematic review datasets. We argue that evaluation must be specific to the scenario under consideration. To this end, we propose a new evaluation framework for finite-pool scenarios, wherein the primary aim is to label a fixed set of examples rather than to simply induce a good predictive model. We use a method from medical decision theory for eliciting the relative costs of false positives and false negatives from the domain expert, constructing a utility measure of classification performance that integrates the expert preferences. Our findings suggest that the expert can, and should, provide more information than instance labels alone. In addition to achieving strong empirical results on the citation screening problem, this work outlines many important steps for moving away from simulated active learning and toward deploying AL for real-world applications. 2010 ACM. AU - Wallace, Byron C. AU - Small, Kevin AU - Brodley, Carla E. AU - Trikalinos, Thomas A. C3 - 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD-2010, July 25, 2010 - July 28, 2010 DA - 2010 DO - 10.1145/1835804.1835829 KW - Decision theory Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2010 SP - 173-181 ST - Active learning for biomedical citation screening T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - Active learning for biomedical citation screening UR - http://dx.doi.org/10.1145/1835804.1835829 ID - 697 ER - TY - JOUR AB - BACKGROUND & AIM: The relationship between Helicobacter pylori infection and peptic ulcer disease in cirrhosis remains controversial. The purpose of the present Study was to investigate the role of H pylori infection and portal hypertension gastropathy in the prevalence of active peptic ulcer among dyspeptic patients with compensated hepatitis C virus (HCV)-related cirrhosis. METHODS: Patients undergoing upper endoscopy with compensated HCV-related cirrhosis were enrolled. Child-Pugh's score was deter, mined at the entry. Variceal size was measured endoscopically and the severity of portal hypertensive gastropathy was graded. H pylori infection status was determined by urea breath testing and/or histology. RESULTS: A total of 178 patients positive for HCV (A and B Child-Pugh's score) were prospectively included. The prevalence of H pylori infection was 43%. An active peptic ulcer was found in 14 patients (8%) and was significantly more common among those with H pylori infection (16% versus 2% in H pylori uninfected patients, odds ratio: 8.0). No association was observed between H pylori infection and variceal size, or hypertensive gastropathy. CONCLUSIONS: Patients with compensated cirrhosis and H pylori infection showed higher risk of developing a peptic ulcer. Clinical relevance of this result would be that dyspeptic patients with HCV-related cirrhosis may benefit from preventive screening and eradication of H pylori, especially those with features of insufficient hemostasis. AU - Dore, M. P. AU - Mura, D. AU - Deledda, S. AU - Maragkoudakis, E. AU - Pironti, A. AU - Realdi, G. DA - 2004/08// IS - 8 PY - 2004 SN - 0835-7900 SP - 521-524 ST - Active peptic ulcer disease in patients with hepatitis C virus-related cirrhosis: The role of Helicobacter pylori infection and portal hypertensive gastropathy T2 - Canadian Journal of Gastroenterology TI - Active peptic ulcer disease in patients with hepatitis C virus-related cirrhosis: The role of Helicobacter pylori infection and portal hypertensive gastropathy VL - 18 ID - 2253 ER - TY - JOUR AB - INTRODUCTION: Bayesian data mining methods have been used to evaluate drug safety signals from adverse event reporting systems and allow for evaluation of multiple endpoints that are not prespecified. Their adaptation for use with longitudinal data such as administrative claims has not been previously evaluated or validated. METHODS: In this pilot study, we evaluated the feasibility of adapting data mining methods using the empirical Bayes Multi-item Gamma Poisson Shrinkage (MGPS) algorithm to longitudinal administrative claims data. The Medicare Current Beneficiary Survey was used to identify a cohort of Medicare enrollees who were exposed to cyclooxygenase selective (coxib) or nonselective nonsteroidal anti-inflammatory drugs (NS-NSAIDs) from 1999 to 2003. Empirical Bayes MGPS algorithm was used to simultaneously evaluate 259 outcomes associated with current use of coxibs versus NS-NSAIDs while adjusting for key covariates and multiple comparisons. For comparison, a parallel analysis used traditional epidemiologic methods to evaluate the relationship between coxib versus NS-NSAID use and acute myocardial infarction, with the goal of establishing the concurrent validity of the data mining approach. RESULTS: Among 9431 Medicare beneficiaries using NSAIDs and considering all 259 possible outcomes, empirical Bayes MGPS identified an association between current celecoxib use and acute myocardial infarction (Empirical Bayes Geometric Mean ratio 1.91) but not other outcomes. Rofecoxib use was associated with acute cerebrovascular events (Empirical Bayes Geometric Mean ratio 1.85) and several other diagnoses that likely represented indications for the drug. Results from the analyses using traditional epidemiologic methods were similar and indicated that the data mining results were valid. DISCUSSION: Bayesian data mining methods seem useful to evaluate drug safety using administrative data. Further work will be needed to extend these findings to different types of drug exposures and to other claims databases. AU - Curtis, Jeffrey R. AU - Cheng, Hong AU - Delzell, Elizabeth AU - Fram, David AU - Kilgore, Meredith AU - Saag, Kenneth AU - Yun, Huifeng AU - Dumouchel, William DA - 2008/09//undefined DO - 10.1097/MLR.0b013e318179253b IS - 9 J2 - Med Care KW - *Algorithms *Bayes Theorem Adverse Drug Reaction Reporting Systems/*statistics & numerical data Aged Anti-Inflammatory Agents, Non-Steroidal/*adverse effects/therapeutic use Cyclooxygenase 2 Inhibitors/*adverse effects/therapeutic use Data Collection/*statistics & numerical data Female Humans Insurance Claim Review/statistics & numerical data Lactones/adverse effects/therapeutic use Male Medicare/statistics & numerical data Myocardial Infarction/chemically induced/epidemiology Outcome Assessment (Health Care)/statistics & numerical data Poisson Distribution Reproducibility of results Risk Assessment/statistics & numerical data Stroke/chemically induced/epidemiology Sulfones/adverse effects/therapeutic use United States L1 - internal-pdf://1910858270/Curtis-2008-Adaptation of Bayesian data mining.pdf LA - eng PY - 2008 SN - 1537-1948 0025-7079 SP - 969-975 ST - Adaptation of Bayesian data mining algorithms to longitudinal claims data: coxib safety as an example T2 - Medical care TI - Adaptation of Bayesian data mining algorithms to longitudinal claims data: coxib safety as an example UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694945/pdf/nihms-116307.pdf VL - 46 ID - 364 ER - TY - JOUR AB - This paper addresses the issue of designing experiments for a metamodel that needs to be accurate for a certain level of the response value. Such a situation is common in constrained optimization and reliability analysis. Here, we propose an adaptive strategy to build designs of experiments that is based on an explicit trade-off between reduction in global uncertainty and exploration of regions of interest. A modified version of the classical integrated mean square error criterion is used that weights the prediction variance with the expected proximity to the target level of response. The method is illustrated by two simple examples. It is shown that a substantial reduction in error can be achieved in the target regions with reasonable loss of global accuracy. The method is finally applied to a reliability analysis problem; it is found that the adaptive designs significantly out-perform classical space-filling designs. Copyright 2010 by ASME. AU - Picheny, Victor AU - Ginsbourger, David AU - Roustant, Olivier AU - Haftka, Raphael T. AU - Kim, Nam-Ho DA - 2010 DO - 10.1115/1.4001873 IS - 7 J2 - Journal of Mechanical Design, Transactions of the ASME KW - Constrained optimization Design Experiments Quality Assurance Reliability analysis Targets N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2010 SN - 10500472 SP - 0710081-0710089 ST - Adaptive designs of experiments for accurate approximation of a target region T2 - Journal of Mechanical Design, Transactions of the ASME TI - Adaptive designs of experiments for accurate approximation of a target region UR - http://dx.doi.org/10.1115/1.4001873 VL - 132 ID - 649 ER - TY - JOUR AB - This article addresses nonlinear black-box identification using parametric models. A novel adaptive method for the choice of both the model structure and its parameter values is introduced. Experiments in nonlinear time-series modelling and prediction are presented. The method can be seen as unification model of neural networks of all types in the sense as meta-leaming applies to the area of predictive data mining, to combine the predictions from multiple models. AU - Dydynski, Andrzej DA - 2008 IS - 2 J2 - Systems Science KW - Earthquake resistance Information Management Metal analysis Model structures Neural networks Nonlinear systems Parameter estimation time series N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2008 SN - 01371223 SP - 35-41 ST - Adaptive model structures for nonlinear system identification T2 - Systems Science TI - Adaptive model structures for nonlinear system identification VL - 34 ID - 688 ER - TY - JOUR AB - Usually, meta-heuristic approaches that use several neighbourhood structures can perform better than single neighbourhood structure. However, choosing a suitable neighbourhood structure to be applied during the search process is also a crucial decision. Therefore, this study proposes an adaptive neighbourhoods structure selection (AD-NS) mechanism that adaptively memorised the improvement strengths for each neighbourhood structure. The neighbourhood structure with the best improvement history will be employed to generate neighbour(s) for the current iteration. The hypothesis is, "if the improvement history of neighbourhood structure can affect the performance of neighbourhood structures selection mechanism and subsequently, the performance the applied meta-heuristic, then the meta-heuristic (i.e., Simulated Annealing (SA) in this case) with AD-NS will outperform the meta-heuristic (i.e., SA) with other neighbourhood structure selection mechanisms". To prove this, the experiment is conducted by applying SA with AD-NS, SA with Token ring and SA with Union neighbourhood structure selection mechanisms; tested on Curriculum-Based Course Timetabling problem for the ITC-2007 track3 benchmark datasets. Results based on the average ranked, shows that SA with AD-NS approach obtained the fourth rank compared with other approaches reported in the literature. Statistical analysis on SA with AD-NS against SA with other neighbourhood structure selection mechanisms proved that the performance of SA with AD-NS is significantly better than SA with other neighbourhood structures selection mechanisms tested in this work. This indicates that the improvement history of neighbourhood structure can affect the performance of neighbourhood structures selection mechanism and subsequently, the performance the applied meta-heuristic. 2013 Asian Network for Scientific Information. AU - Tarawneh, H. Y. AU - Ayob, Masri DA - 2013 DO - 10.3923/jas.2013.1087.1093 IS - 7 J2 - Journal of Applied Sciences KW - Curricula Heuristic algorithms Heuristic methods Scheduling Simulated annealing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 18125654 SP - 1087-1093 ST - Adaptive neighbourhoods structure selection mechanism in simulated annealing for solving university course timetabling problems T2 - Journal of Applied Sciences TI - Adaptive neighbourhoods structure selection mechanism in simulated annealing for solving university course timetabling problems UR - http://dx.doi.org/10.3923/jas.2013.1087.1093 VL - 13 ID - 936 ER - TY - CONF AB - Data warehouse design is clearly dominated by the business perspective. Quite often, data warehouse administrators are lead to data models with little room for performance improvement. However, the increasing demands for interactive response time from the users make query performance one of the central problems of data warehousing today. We defend that data warehouse design must take into account both the business and the performance perspective from the beginning, and we propose the extension to typical design methodologies to include performance concerns in the early design steps. Specific analysis to predicted data warehouse usage profile and meta-data analysis are proposed as new inputs for improving the transition from logical to physical schema. The proposed approach is illustrated and discussed using the TPC-H performance benchmark and it is shown that significant performance improvement can be achieved without jeopardizing the business view required for data warehouse models. AU - Bizarro, P. AU - Madeira, H. C3 - Data Warehousing and Knowledge Discovery. 4th International Conference, DaWaK 2002. Proceedings, 4-6 Sept. 2002 DA - 2002 KW - data analysis data mining data models Data warehouses meta data PB - Springer-Verlag PY - 2002 SP - 232-44 ST - Adding a performance-oriented perspective to data warehouse design T3 - Data Warehousing and Knowledge Discovery. 4th International Conference, DaWaK 2002. Proceedings (Lecture Notes in Computer Science Vol.2454) TI - Adding a performance-oriented perspective to data warehouse design ID - 1378 ER - TY - JOUR AU - Van Valkenhoef, Gert AU - Tervonen, Tommi AU - Zwinkels, Tijs AU - De Brock, Bert AU - Hillege, Hans DA - 2013 DP - Google Scholar IS - 2 L1 - http://repub.eur.nl/pub/37495/1-s2.0-S0167923612002606-main.pdf PY - 2013 SP - 459-475 ST - ADDIS T2 - Decision Support Systems TI - ADDIS: a decision support system for evidence-based medicine UR - http://www.sciencedirect.com/science/article/pii/S0167923612002606 VL - 55 Y2 - 2016/09/24/15:37:02 ID - 2351 ER - TY - JOUR AB - Herbivores are important drivers of plant population dynamics and community composition in natural and managed systems. Intraspecific genetic diversity of long-lived plants like trees might shape patterns of herbivory by different guilds of herbivores that trees experience through time. However, previous studies on plant genetic diversity effects on herbivores have been largely short-term. We investigated how tree genotypic variation and diversity influence herbivory of silver birch Betula pendula in a long-term field experiment. Using clones of eight genotypes, we constructed experimental plots consisting of one, two, four or eight genotypes, and measured damage by five guilds of arthropod herbivores twice a year over three different years (four, six and nine years after the experiment was established). Genotypes varied significantly for most types of herbivore damage, but genotype resistance rankings often shifted over time, and none of the clones was more resistant than all others to all types of herbivores. At the plot level, birch genotypic diversity had significant positive additive effect on leaf rollers and negative non-additive effects on chewing herbivores and gall makers. In contrast, leaf-mining and leaf-tying damage was not influenced by birch genotypic diversity. Within diverse plots, the direction of genotypic diversity effects varied depending on birch genotype, some having lower and some having higher herbivory in mixed stands. This research highlights the importance of long-term studies including different feeding guilds of herbivores to understand the effects of plant genetic diversity on arthropod communities. Different responses of various feeding guilds to genotypic diversity and shifts in resistance of individual genotypes over time indicate that genotypic mixtures are unlikely to result in overall reduction in herbivory over time. AU - Barton, Kasey E. AU - Valkama, Elena AU - Vehvilainen, Harri AU - Ruohomaki, Kai AU - Knight, Tiffany M. AU - Koricheva, Julia DA - 2015/06// DO - 10.1111/oik.01663 IS - 6 L1 - internal-pdf://3936859996/Barton-2015-Additive and non-additive effects.pdf PY - 2015 SN - 0030-1299 SP - 697-706 ST - Additive and non-additive effects of birch genotypic diversity on arthropod herbivory in a long-term field experiment T2 - Oikos TI - Additive and non-additive effects of birch genotypic diversity on arthropod herbivory in a long-term field experiment UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/oik.01663/asset/oik1663.pdf?v=1&t=itiqa5n1&s=eac4a63ecf1c72f7a7218f8af00ab1cb9ee578be VL - 124 ID - 2300 ER - TY - BLOG AB - Advanced Search Strategy Design for Complex Topics: Strategy Development, Text Analytics and Text Mining Training Day, University of York This course looks at how to design complex search strategies and complements our training on advanced search techniques. As the volume of published research grows it is becoming more challenging to identify efficiently studies performed according AU - factory, admin ST - Advanced Search Strategy Design for Complex Topics (TBD) T2 - York Health Economics Consortium TI - Advanced Search Strategy Design for Complex Topics (TBD) UR - http://www.yhec.co.uk/training/advanced-search-strategy-design/ ID - 2483 ER - TY - CONF AB - This study continues construction of specialized grammars covering music information. The proposed grammar is searching-oriented and therefore largely simplified, in order to create easily-searchable structure. Searching is seen here as a particular querying operation in spaces of music information. Searching is discussed for patterns melodically and rhythmically transformed - with transformations in pitch and time dimensions typical for music works. Three operators are proposed to provide convenient meta-data for searching. Searching may be performed in both structured and unstructured musical pieces, regarding voice selection. Proposed methodology may serve for searching of transformed and non-transformed motives, searching of inspirations, comparative analysis of musical pieces, analysis of melodic and rhythmical sequences, harmonic analysis and structure discovery. 2012 Springer-Verlag. AU - Rybnik, Mariusz AU - Homenda, Wladyslaw AU - Sitarek, Tomasz C3 - 20th International Symposium on Methodologies for Intelligent Systems, ISMIS 2012, December 4, 2012 - December 7, 2012 DA - 2012 DO - 10.1007/978-3-642-34624-8_26 KW - data mining Intelligent systems knowledge representation Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2012 SN - 03029743 SP - 218-227 ST - Advanced searching in spaces of music information T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Advanced searching in spaces of music information UR - http://dx.doi.org/10.1007/978-3-642-34624-8_26 VL - 7661 LNAI ID - 1073 ER - TY - CONF AB - The proceedings contain 27 papers. The topics discussed include: reduction relaxation in privacy preserving association rules mining; decomposition of non-deterministic services for the purpose of replication; partitioning approach to collocation pattern mining in limited memory environment using materialized iCPI-trees; towards the automated business model-driven conceptual database design; aligning business process models and domain knowledge: a meta-modeling approach; optimization of object-oriented queries through pushing selections; on parallel sorting of data streams; mining association rules from database tables with the instances of Simpson's paradox; synchronization modeling in stream processing; two-stage stochastic view selection for data-analysis queries; and choosing values for text fields in web forms. C3 - 16th East-European Conference on Advances in Databases and Information Systems, ADBIS 2012, September 18, 2012 - September 21, 2012 DA - 2013 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2013 SN - 21945357 SP - Allegro-Group; City of Poznan; IBM; Roche; Microsoft ST - Advances in Databases and Information Systems T3 - Advances in Intelligent Systems and Computing TI - Advances in Databases and Information Systems VL - 186 AISC ID - 529 ER - TY - BOOK A3 - Baran Chaudhuri, B. A2 - Kumar Parui, S. AB - Digital document processing is still a charming topic for a large section of pattern recognition research community. While the older domains like printed text OCR, bar code readers, tabular form processors have taken back seats, newer ones like digital library, image and video text analysis, web document processing, document image mining, meta-data extraction and document retrieval have cropped up. Remarkable progress has been made both in online and in offline handwriting analysis. Document processing has special significance in a country like India that uses multiple languages/scripts and the Computer Vision and Pattern Recognition Unit of the Indian Statistical Institute is a forerunner in doing research on Indian multilingual multiscript documents. The current edited volume has come up partly from the extended versions of some selected papers presented at International Conference on Computing: Theory and Applications held in connection with the platinum jubilee celebration of the ISI and partly from the invited papers received from eminent researchers in the field. CY - Singapore, Singapore DA - 2014 KW - document image processing information retrieval PB - World Scientific Publishing PY - 2014 SP - x+321 ST - Advances in Digital Document Processing and Retrieval TI - Advances in Digital Document Processing and Retrieval UR - http://dx.doi.org/10.1142/9789814368711_fmatter ID - 916 ER - TY - CONF AB - The proceedings contain 38 papers. The topics discussed include: a unified framework for post-retrieval query-performance prediction; predicting the performance of recommender systems: an information theoretic approach; trading spaces: on the lore and limitations of latent semantic analysis; quantum latent semantic analysis; pure high-order word dependence mining via information geometry; promoting divergent terms in the estimation of relevance models; is document frequency important for PRF?; selecting a subset of queries for acquisition of further relevance judgments; on the feasibility of unstructured peer-to-peer information retrieval; an analysis of ranking principles and retrieval strategies; towards a better understanding of the relationship between probabilistic models in IR; cognitive processes in query generation; protocol-driven searches for medical and health-sciences systematic reviews; and enhanced information retrieval using domain-specific recommender models. C3 - 3rd International Conference on the Theory of Information Retrieval, ICTIR 2011, September 12, 2011 - September 14, 2011 DA - 2011 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2011 SN - 03029743 SP - Fondazione-Ugo Bordoni (FUB); University of Lugano; Almawave; Microsoft Research; Yahoo! Research ST - Advances in Information Retrieval Theory - Third International Conference, ICTIR 2011, Proceedings T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Advances in Information Retrieval Theory - Third International Conference, ICTIR 2011, Proceedings VL - 6931 LNCS ID - 500 ER - TY - CONF AB - The proceedings contain 42 papers. The topics discussed include: processing preference queries in standard database systems; from on-campus project organized problem based learning to facilitated work based learning in industry; a novel clustering-based approach to schema matching; three-level object-oriented database architecture based on virtual updateable views; data mining with parallel support vector machines for classification; comparative analysis of classification methods for protein interaction verification system; distributed architecture for association rule mining; automatic lung nodule detection using template matching; structural and event based multimodal video data modeling; knowledge management in different software development approaches; an architecture design process using a supportable meta-architecture and roundtrip engineering; and adaptive enumeration strategies and metabacktracks for constraints solving. C3 - 4th International Conference on Advances in Information Systems, ADVIS 2006, October 18, 2006 - October 20, 2006 DA - 2006 KW - Classification (of information) Computer Simulation Database systems INFORMATION science Learning systems Problem solving Query languages N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2006 SN - 03029743 SP - Dokuz-Eylul University, Turkey; Gonen Bilgi Teknolojileri Danismanlik Ltd., Turkey; Science and Technical Research Council of Turkey ST - Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings VL - 4243 LNCS ID - 620 ER - TY - CONF AB - The proceedings contain 11 papers. The topics discussed include: mining temporally changing Web usage graphs; improving the web usage analysis process: a UML model of the ETL process; mission-based navigational behavior modeling for Web recommender systems; complete this puzzle: a connectionist approach to accurate Web recommendations based on a committee of predictors; collaborative quality filtering: establishing consensus or recovering ground truth?; spying out accurate user preferences for search engine adaptation; using hyperlink features to personalize Web search; discovering links between lexical and surface features in questions and answers; integrating Web conceptual modeling and Web usage mining; boosting for text classification with semantic features; and Markov blankets and meta-heuristics search: sentiment extraction from unstructured texts. C3 - 6th International Workshop on Knowledge Discovery on the Web, WebKDD 2004, August 22, 2004 - August 25, 2004 DA - 2006 KW - Computer supported cooperative work data mining Data reduction Graph theory Knowledge acquisition Search Engines Semantics World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2006 SN - 03029743 ST - Advances in Web Mining and Web Usage Analysis - 6th International Workshop on Knowledge Discovery on the Web, WebKDD 2004, Revised Selected Papers T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Advances in Web Mining and Web Usage Analysis - 6th International Workshop on Knowledge Discovery on the Web, WebKDD 2004, Revised Selected Papers VL - 3932 LNAI ID - 1688 ER - TY - JOUR AB - OBJECTIVE: Problematic prescription drug labeling has been cited as a root cause of patient misunderstanding, medication errors, and nonadherence. Although numerous studies have recently been conducted to identify and test labeling best practices, the last systematic review on this topic was conducted a decade ago. The objective of this review was, therefore, to examine, summarize, and update best practices for conveying written prescription medication information and instructions to patients. DATA SOURCES: English-language articles published from June 2005 to June 2015 were identified in MEDLINE and CINAHL by searching the following text words: 'medication OR prescription OR drug' AND 'label OR leaflet OR brochure OR pamphlet OR medication guide OR medication insert OR drug insert OR medication information OR drug information OR instructions' AND 'patient OR consumer.' Reference mining and secondary searches were also performed. STUDY SELECTION AND DATA EXTRACTION: A total of 31 articles providing evidence on how to improve written, prescription drug labeling for patient use were selected. Two reviewers independently screened articles, rated their quality, and abstracted data. DATA SYNTHESIS: Identified best practices included the use of plain language, improved formatting and organization, and more explicit instructions to improve patient comprehension. The use of icons had conflicting findings, and few studies tested whether practices improved knowledge or behaviors with patients' actual prescribed regimens. CONCLUSIONS: Future studies are needed to determine how specific modifications and improvements in drug labeling can enhance patient knowledge and behavior in actual use. Synthesizing best practices across all patient materials will create a more useful, coordinated system of prescription information. AU - Bailey, Stacy Cooper AU - Navaratnam, Prakash AU - Black, Heather AU - Russell, Allison L. AU - Wolf, Michael S. DA - 2015/11//undefined DO - 10.1177/1060028015602272 IS - 11 J2 - Ann Pharmacother KW - *Drug Labeling/standards *Prescription Drugs Comprehension drug labeling health literacy Humans Medication Adherence Medication Errors Patient Education as Topic prescription drugs LA - eng PY - 2015 SN - 1542-6270 1060-0280 SP - 1222-1236 ST - Advancing Best Practices for Prescription Drug Labeling T2 - The Annals of pharmacotherapy TI - Advancing Best Practices for Prescription Drug Labeling UR - http://aop.sagepub.com/content/49/11/1222.long VL - 49 ID - 306 ER - TY - JOUR AU - Stang, Paul E. AU - Ryan, Patrick B. AU - Racoosin, Judith A. AU - Overhage, J. Marc AU - Hartzema, Abraham G. AU - Reich, Christian AU - Welebob, Emily AU - Scarnecchia, Thomas AU - Woodcock, Janet DA - 2010 DP - Google Scholar IS - 9 L1 - http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.690.2935&rep=rep1&type=pdf PY - 2010 SP - 600-606 ST - Advancing the science for active surveillance T2 - Annals of internal medicine TI - Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes Partnership UR - http://annals.org/article.aspx?articleid=746371 VL - 153 Y2 - 2016/09/24/16:09:17 ID - 2455 ER - TY - JOUR AB - WHAT IS KNOWN AND OBJECTIVE: Studies in a number of countries have shown that adverse drug events (ADE) occur frequently among hospital inpatients. The objective of this study was to conduct a systematic review of observational studies of the frequency of ADE in adult inpatients and to examine factors associated with observed heterogeneity in the reported results. METHODS: The systematic review included observational studies, which identified and analysed ADE during hospitalization of adult inpatients. The literature search was conducted on MEDLINE, Embase, Lilacs and Google Scholar (January of 2000 to June of 2013). Article selection, quality assessment and information extraction were performed by two of the authors, working independently. Using the random-effects model, the proportion of patients with adverse events was used as an outcome measure. Proportion was estimated for subgroups based on event identification method: stimulated reporting (SR), retrospective monitoring (RM) and prospective monitoring (PM). For the latter group, meta-regression was used to identify sources of heterogeneity in the estimates. RESULTS AND DISCUSSION: Twenty-eight articles from the 7550 identified met our inclusion criteria. The articles were heterogeneous in terms of quality, outcome definition and event identification method and in the corresponding descriptions. Of the 28 articles selected, 25 were included in the corresponding quantitative summary: four used SR, six RM and 15 PM, returning incidences of 2.3% (CI 95%: 1.6-4.5), 8.7% (CI 95%: 4.8-15.3) and 21.3% (CI 95%: 15.7-28.3), respectively, and I(2) greater than 95%. There were other sources of heterogeneity, including the use of combined strategies within each subgroup. In the PM subgroup, using multivariate meta-regression model, no variables were found to associate with proportion. WHAT IS NEW AND CONCLUSION: Event frequency seems to associate with the event identification method. PM returned the highest estimates. This subgroup used a greater diversity of approaches for event identification and more diverse data sources. Improved recording of information on the event identification method, the characteristics of the events and the conduct of the study would enable more reliable and precise estimates of the frequency of ADE among hospital inpatients. AU - Martins, A. C. M. AU - Giordani, F. AU - Rozenfeld, S. DA - 2014/12//undefined DO - 10.1111/jcpt.12204 IS - 6 J2 - J Clin Pharm Ther KW - *Adverse Drug Reaction Reporting Systems *Inpatients Adult adverse drug event adverse drug reaction drug-related effects Drug-Related Side Effects and Adverse Reactions/epidemiology/*etiology hospital Hospitalization Humans inpatient Meta-analysis pharmacoepidemiology Reproducibility of results safety Systematic review LA - eng PY - 2014 SN - 1365-2710 0269-4727 SP - 609-620 ST - Adverse drug events among adult inpatients: a meta-analysis of observational studies T2 - Journal of clinical pharmacy and therapeutics TI - Adverse drug events among adult inpatients: a meta-analysis of observational studies VL - 39 ID - 22 ER - TY - JOUR AB - Although in the last two decades the World Health Organization (WHO) has introduced tuberculosis as "a threat to global", the vaccination with the Mycobacterium bovis Bacillus Calmette-Guerin (BCG) is the only way for the prevention of this fatal infectious disease. Despite of the efficacy of BCG vaccine especially against infants' meningitis, it has still some limitations due to a variety of adverse effects. Many studies have evaluated the side effects of different strains of BCG vaccines in different countries. In Iran, some studies have been done so far to evaluate the adverse effects of 1173 P2 strain which is used for BCG vaccination. Each of these studies have used different standardization and sampling methods. This review will survey all studies that have been published about adverse effects of 1173 P2 strain of BCG vaccine in Iran using data mining methods. AU - Mostaan, Saied AU - Yazdanpanah, Bahador AU - Moukhah, Rasool AU - Hozouri, Hamid Reza AU - Rostami, Manouchehr AU - Khorashadizadeh, Mohsen AU - Zerehsaz, Javad AU - Mahabadi, Ramin Pirhajati AU - Saadi, Arya AU - Khanahmad, Hossein AU - Pooya, Mohammad DA - 2016 DO - 10.4103/2277-9175.183659 J2 - Adv Biomed Res KW - 1173P2 Bacillus calmette-guerin safety side effects LA - eng PY - 2016 SN - 2277-9175 2277-9175 SP - 99 ST - Adverse effects of BCG vaccine 1173 P2 in Iran: A meta-analysis T2 - Advanced biomedical research TI - Adverse effects of BCG vaccine 1173 P2 in Iran: A meta-analysis VL - 5 ID - 65 ER - TY - JOUR AB - Severe environmental problems arise from old uranium mines, which continue to discharge uranium (U) via acid mine drainage water, resulting in soil, subsoil and groundwater contamination. Bioremediation of U contaminated environments has been attempted, but most of the conceptual models propose U removal by cell suspensions of anaerobic bacteria. In this study, strain Rhodanobacter A2-61, isolated from Urgeirica Mine, Portugal, was shown to resist up to 2 mM of U(vi). The conditions used (low nutrient content and pH 5) potentiated the interaction of the toxic uranyl ion with the tested strain. The strain was able to remove approximately 120 M of U(vi) when grown aerobically in the presence of 500 M U. Under these conditions, this strain was also able to lower the phosphate concentration in the medium and increased its capacity to take up inorganic phosphate, accumulating up to 0.52 mol phosphate per optical density unit of the medium at 600 nm, after 24 hours, corresponding approximately to the late log phase of the bacterial culture. Microscopically dense intracellular structures with nanometer size were visible. The extent of U inside the cells was quantified by LS counting. EDS analysis of heated cells showed the presence of complexes composed of phosphate and uranium, suggesting the simultaneous precipitation of U and phosphate within the cells. XRD analysis of the cells containing the U-phosphate complexes suggested the presence of a meta-autunite-like mineral structure. SEM identified, in pyrolyzed cells, crystalline nanoparticles with shape in the tetragonal system characteristic of the meta-autunite-like mineral structures. U removal has been reported previously but mainly by cell suspensions and through release of phosphate. The innovative Rhodanobacter A2-61 can actively grow aerobically, in the presence of U, and can efficiently remove U(vi) from the environment, accumulating it in a structural form consistent with that of the mineral meta-autunite inside the cell, corresponding to effective metal immobilization. This work supports previous findings that U bioremediation could be achieved via the biomineralization of U(vi) in phosphate minerals. 2013 The Royal Society of Chemistry. AU - Sousa, Tania AU - Chung, Ana-Paula AU - Pereira, Alcides AU - Piedade, Ana Paula AU - Morais, Paula V. DA - 2013 DO - 10.1039/c3mt00052d IS - 4 J2 - Metallomics KW - Biomineralization Bioremediation Biotechnology Cell immobilization Cells Cytology Groundwater Phosphate minerals Soils Uranium Uranium compounds Wastewater disposal N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 17565901 SP - 390-397 ST - Aerobic uranium immobilization by Rhodanobacter A2-61 through formation of intracellular uranium-phosphate complexes T2 - Metallomics TI - Aerobic uranium immobilization by Rhodanobacter A2-61 through formation of intracellular uranium-phosphate complexes UR - http://dx.doi.org/10.1039/c3mt00052d VL - 5 ID - 461 ER - TY - JOUR AB - The objective of this article was to assess the association between the incidence and mortality from aerodigestive cancers and exposure to crocidolite (blue asbestos). Our study is a cohort study of former workers of the now-defunct crocidolite mining and milling operation at Wittenoom, Western Australia, who have been followed up since 1979 and on whom asbestos exposure and smoking information was known. Standardised mortality and incidence rates were used to compare former workers with the Western Australian male population. Cases were matched with up to 10 randomly assigned controls, and conditional logistic regression was used to examine the relationship between asbestos exposure, smoking status and cancer incidence. There were 129 incident cases from all cancers of interest and 57 deaths. Former workers had a significantly higher risk of mortality from upper aerodigestive cancers than the Western Australian male population. The incidence of upper and lower aerodigestive cancers was higher in the Wittenoom cohort but not significantly so. Cumulative exposure to asbestos did not appear to be associated with the incidence of stomach cancer, colorectal cancer or upper aerodigestive cancers. Smoking status was strongly associated with the incidence of upper aerodigestive cancers, with current smokers experiencing the greatest risk. Our study with longer and more complete follow-up, smoking information and a stronger study design does not show an association between cumulative asbestos exposure and stomach cancer or other gastrointestinal cancers. The excess mortality from upper aerodigestive cancers seen in this cohort of former asbestos workers compared to the Western Australian male population does not appear to be associated with exposure to crocidolite. (C) 2004 Wiley-Liss, Inc. AU - Reid, A. AU - Ambrosini, G. AU - De Klerk, N. AU - Fritschi, L. AU - Musk, B. DA - 2004/09/20/ DO - 10.1002/ijc.20313 IS - 5 PY - 2004 SN - 0020-7136 SP - 757-761 ST - Aerodigestive and gastrointestinal tract cancers and exposure to crocidolite (blue asbestos): Incidence and mortality among former crocidolite workers T2 - International Journal of Cancer TI - Aerodigestive and gastrointestinal tract cancers and exposure to crocidolite (blue asbestos): Incidence and mortality among former crocidolite workers VL - 111 ID - 2302 ER - TY - JOUR AB - BACKGROUND: Exploration of the Adverse Event Reporting System (AERS) data by a wide scientific community is limited due to several factors. First, AERS data must be intensively preprocessed to be converted into analyzable format. Second, application of the currently accepted disproportional reporting measures results in false positive signals. METHODS: We proposed a data mining strategy to improve hypothesis generation with respect to potential associations. RESULTS: By numerous examples, we illustrate that our strategy controls the false positive signals. We implemented a free online tool, AERS spider (www.chemoprofiling.org/AERS). CONCLUSIONS: We believe that AERS spider would be a valuable tool for drug safety experts. AU - Grigoriev, Igor AU - zu Castell, Wolfgang AU - Tsvetkov, Philipp AU - Antonov, Alexey V. DA - 2014/08//undefined DO - 10.1002/pds.3561 IS - 8 J2 - Pharmacoepidemiol Drug Saf KW - *Adverse Drug Reaction Reporting Systems AERS Databases, Factual/statistics & numerical data data mining Data Mining/*methods Drug-Related Side Effects and Adverse Reactions/*epidemiology FDA Humans Online Systems pharmacoepidemiology Pharmacoepidemiology/methods pharmacovigilance United States United States Food and Drug Administration L1 - internal-pdf://3662103742/Grigoriev-2014-AERS spider_ an online interact.pdf LA - eng PY - 2014 SN - 1099-1557 1053-8569 SP - 795-801 ST - AERS spider: an online interactive tool to mine statistical associations in Adverse Event Reporting System T2 - Pharmacoepidemiology and drug safety TI - AERS spider: an online interactive tool to mine statistical associations in Adverse Event Reporting System UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/pds.3561/asset/pds3561.pdf?v=1&t=itisoehz&s=22feb681c9008e691c49a867de36dfc5e17fc982 VL - 23 ID - 284 ER - TY - JOUR AB - With increasing digital information availability, semantic web technologies have been employed to construct semantic digital libraries in order to ease information comprehension. The use of semantic web enables users to search or visualize resources in a semantic fashion. Semantic web generation is a key process in semantic digital library construction, which converts metadata of digital resources into semantic web data. Many text mining technologies, such as keyword extraction and clustering, have been proposed to generate semantic web data. However, one important type of metadata in publications, called affiliation, is hard to convert into semantic web data precisely because different authors, who have the same affiliation, often express the affiliation in different ways. To address this issue, this paper proposes a clustering method based on normalized compression distance for the purpose of affiliation disambiguation. The experimental results show that our method is able to identify different affiliations that denote the same institutes. The clustering results outperform the well-known k-means clustering method in terms of average precision, F-measure, entropy, and purity. AU - Yong, Jiang AU - Hai-Tao, Zheng AU - Xinmin, Wang AU - Binggan, Lu AU - Kaihua, Wu DA - 2011/06// DO - 10.1002/asi.21538 IS - 6 J2 - Journal of the American Society for Information Science and Technology KW - data mining Digital Libraries meta data pattern clustering Semantic Web text analysis PY - 2011 SN - 1532-2882 SP - 1029-41 ST - Affiliation disambiguation for constructing semantic digital libraries T2 - Journal of the American Society for Information Science and Technology TI - Affiliation disambiguation for constructing semantic digital libraries UR - http://dx.doi.org/10.1002/asi.21538 VL - 62 ID - 1121 ER - TY - JOUR AB - Afforestation (tree establishment on nonforested land) is a management option for increasing terrestrial C sequestration and mitigating rising atmospheric carbon dioxide because, compared to nonforested land uses, afforestation increases C storage in aboveground pools. However, because terrestrial ecosystems typically store most of their C in soils, afforestation impacts on soil organic carbon (SOC) storage are critical components of ecosystem C budgets. We applied synthesis methods to identify the magnitude and drivers of afforestation impacts on SOC, and the temporal and vertical distributions of SOC change during afforestation in the United States. Meta-analysis of 39 papers from 1957 to 2010 indicated that previous land use drives afforestation impacts on SOC in mineral soils (overall average = +21%), but mined and other industrial lands (+173%) and wildlands (+31%) were the only groups that specifically showed categorically significant increases. Temporal patterns of SOC increase were statistically significant on former industrial and agricultural lands (assessed by continuous metaanalysis), and suggested that meaningful SOC increases require 15 and 30 yr of afforestation, respectively. Meta-analysis of 13C data demonstrated the greatest SOC changes occur at the surface soil of the profile, although partial replacement of C stocks derived from previous land uses was frequently detectable below 1 m. A geospatial analysis of 409 profiles from the National Soil Carbon Network database supported 13C meta-analysis results, indicating that transition from cultivation to forest increased A horizon SOC by 32%. In sum, our findings demonstrate that afforestation has significant, positive effects on SOC sequestration in the United States, although these effects require decades to manifest and primarily occur in the uppermost (and perhaps most vulnerable) portion of the mineral soil profile. Soil Science Society of America. AU - Nave, L. E. AU - Swanston, C. W. AU - Mishra, U. AU - Nadelhoffer, K. J. DA - 2013 DO - 10.2136/sssaj2012.0236 IS - 3 J2 - Soil Science Society of America Journal KW - Atmospheric chemistry Carbon dioxide Cultivation Digital storage Ecosystems Land use Reforestation Soils N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 03615995 SP - 1035-1047 ST - Afforestation effects on soil carbon storage in the united states: A synthesis T2 - Soil Science Society of America Journal TI - Afforestation effects on soil carbon storage in the united states: A synthesis UR - http://dx.doi.org/10.2136/sssaj2012.0236 VL - 77 ID - 1661 ER - TY - JOUR AB - Afforestation (tree establishment on nonforested land) is a management option for increasing terrestrial C sequestration and mitigating rising atmospheric carbon dioxide because, compared to nonforested land uses, afforestation increases C storage in aboveground pools. However, because terrestrial ecosystems typically store most of their C in soils, afforestation impacts on soil organic carbon (SOC) storage are critical components of ecosystem C budgets. We applied synthesis methods to identify the magnitude and drivers of afforestation impacts on SOC, and the temporal and vertical distributions of SOC change during afforestation in the United States. Meta-analysis of 39 papers from 1957 to 2010 indicated that previous land use drives afforestation impacts on SOC in mineral soils (overall average = +21%), but mined and other industrial lands (+173%) and wildlands (+31%) were the only groups that specifically showed categorically significant increases. Temporal patterns of SOC increase were statistically significant on former industrial and agricultural lands (assessed by continuous meta-analysis), and suggested that meaningful SOC increases require >= 15 and 30 yr of afforestation, respectively. Meta-analysis of C-13 data demonstrated the greatest SOC changes occur at the surface soil of the profile, although partial replacement of C stocks derived from previous land uses was frequently detectable below 1 m. A geospatial analysis of 409 profiles from the National Soil Carbon Network database supported C-13 meta-analysis results, indicating that transition from cultivation to forest increased A horizon SOC by 32%. In sum, our findings demonstrate that afforestation has significant, positive effects on SOC sequestration in the United States, although these effects require decades to manifest and primarily occur in the uppermost (and perhaps most vulnerable) portion of the mineral soil profile. AU - Nave, L. E. AU - Swanston, C. W. AU - Mishra, U. AU - Nadelhoffer, K. J. DA - 2013/05// DO - 10.2136/sssaj2012.0236 IS - 3 PY - 2013 SN - 0361-5995 SP - 1035-1047 ST - Afforestation Effects on Soil Carbon Storage in the United States: A Synthesis T2 - Soil Science Society of America Journal TI - Afforestation Effects on Soil Carbon Storage in the United States: A Synthesis VL - 77 ID - 1939 ER - TY - JOUR AB - We present a U-Pb detrital zircon age and provenance study of a sequence of metasedimentary rocks in the northwestern Thor-Odin high-grade gneiss dome within the Omineca crystalline belt of the Canadian Cordillera. Despite strong overprint by defor mation and metamorphism, we successfully analyzed the age and provenance of six samples collected at various structural levels, using U-Pb detrital zircon laser-ablation- inductively coupled plasma-mass spectrometry (LA-ICP-MS) analysis. The Thor-Odin dome consists of Paleoproterozoic basement and a metasedimentary cover sequence of previously unknown age and tectonic significance. Our results indicate that the oldest units of this sequence may be Paleoproterozoic, and some of the oldest known metasedimentary rocks in the Canadian Cordillera, originally deposited on top of Laurentian basement rocks. The youngest rocks are Devonian and deposited shortly before the onset of widespread Late Devonian to early Mississippian igneous activity in the Selkirk Domain or Kootenay arc. The cover sequence of the Thor-Odin dome thus preserves some of both the oldest and the youngest (meta)sedimentary rocks deposited between the formation of supercontinent Columbia and the onset of igneous activity and convergence that marked the beginning of Cordilleran deformation and metamorphism. Parts of as many as ~1.4 b.y. of sedimentary history are preserved in the Thor-Odin dome, implying that much information on the sedimentary history of the Canadian Cordillera may be hidden in other Cordi lleran gneiss domes. 2014 Geological Society of America. AU - Kuiper, Yvette D. AU - Shields, Caroline D. AU - Tubrett, Michael N. AU - Bennett, Venessa AU - Buchwaldt, Robert DA - 2014 DO - 10.1130/B31031.1 IS - 9-10 J2 - Bulletin of the Geological Society of America KW - Domes Geochronology Igneous rocks Inductively coupled plasma mass spectrometry Laser ablation Lead Sedimentary rocks Sedimentology Zircon L1 - internal-pdf://0005631942/Kuiper-2014-Age and provenance of a Paleoprote.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 00167606 SP - 1259-1274 ST - Age and provenance of a Paleoproterozoic to Devonian Canadian Cordilleran sequence of metasedimentary rocks, Thor-Odin dome, southeastern British Columbia T2 - Bulletin of the Geological Society of America TI - Age and provenance of a Paleoproterozoic to Devonian Canadian Cordilleran sequence of metasedimentary rocks, Thor-Odin dome, southeastern British Columbia UR - http://dx.doi.org/10.1130/B31031.1 http://bulletin.geoscienceworld.org.ezproxy.lib.vt.edu/content/abull/126/9-10/1259.full.pdf VL - 126 ID - 471 ER - TY - CONF AB - This paper presents an agent-based distributed data mining approach dealing with heterogeneous databases located at different sites. It introduces a modified decision tree algorithm on an agent based framework, which produces an accurate global model without transferring data between agents. The novel approach is evaluated over a test bed of texture feature data of 184 aerial photograph images. The experimental results show that the distributed version with more agents outperforms the version with fewer agents when the rule generation from the large database is not complicated. AU - Baik, Sung Wook AU - Bala, Jerzy AU - Cho, Ju Sang C3 - 5th International Conference, PDCAT 2004, December 8, 2004 - December 10, 2004 DA - 2004 KW - Algorithms Communication systems Database systems data mining data structures Data transfer Distributed computer systems Image analysis Learning systems Textures N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2004 SN - 03029743 SP - 42-45 ST - Agent based distributed data mining T3 - Lecture Notes in Computer Science TI - Agent based distributed data mining VL - 3320 ID - 1709 ER - TY - CHAP A2 - Bramer, M. AB - In this paper we: introduce EMADS, the Extendible Multi-Agent Data mining System, to support the dynamic creation of communities of data mining agents; explore the capabilities of such agents and demonstrate (by experiment) their application to data mining on distributed data. Although, EMADS is not restricted to one data mining task, the study described here, for the sake of brevity, concentrates on agent based Association Rule Mining (ARM), in particular what we refer to as frequent set meta mining (or Meta ARM). A full description of our proposed Meta ARM model is presented where we describe the concept of Meta ARM and go on to describe and analyse a number of potential solutions in the context of EMADS. Experimental results are considered in terms of: the number of data sources, the number of records in the data sets and the number of attributes represented. AU - Albashiri, Kamal Ali AU - Coenen, Frans AU - Leng, Paul PY - 2008 SN - 978-0-387-09694-0 SP - 23-32 ST - Agent based frequent set meta mining: Introducing EMADS T2 - Artificial Intelligence in Theory and Practice Ii TI - Agent based frequent set meta mining: Introducing EMADS VL - 276 ID - 2013 ER - TY - CONF AB - Addressing the problems that available search engines seldom consider the personalized needs of users with low precision rate and the discrete retrieval results, an Agent-based intelligent meta-search engine model is proposed. Agent technology is used, which makes the system more intelligent. In order to achieve personalized retrieval analysis, the model uses a four-tuple user interest model and improved text classification model. A retrieval result synthesis strategy is proposed based on the factors of initial positions, related degree of retrieval queries and abstracts, and weight of individual search engines. And result consistence sorting is also realized. The experimental results show that the proposed model has a preferably performance. AU - Qingshan, Li AU - Yingcheng, Sun C3 - Web Information Systems and Mining. International Conference, WISM 2012, 26-28 Oct. 2012 DA - 2012 DO - 10.1007/978-3-642-33469-6_71 KW - Abstracting multi-agent systems pattern classification query processing Search Engines text analysis PB - Springer Verlag PY - 2012 SP - 572-9 ST - An Agent Based Intelligent Meta Search Engine T3 - Web Information Systems and Mining. Proceedings International Conference, WISM 2012 TI - An Agent Based Intelligent Meta Search Engine UR - http://dx.doi.org/10.1007/978-3-642-33469-6_71 ID - 1834 ER - TY - CONF AB - Agent-oriented modeling of software and information systems and agent-based simulation are commonly viewed as two separate fields with different concepts and techniques. We argue that a sufficiently expressive agent-oriented modeling language for information systems analysis and design should-with some minor extensions-also be usable for specifying simulation models that can be executed by an agent-based simulation system. Specifically, we investigate the suitability of the Agent-Object-Relationship modeling language (AORML) proposed in [Wag03] for simulation. We show that the AOR meta-model and the meta-model of discrete event simulation can be combined into a model of agent-based discrete event simulation in a natural way. Springer-Verlag Berlin Heidelberg 2003. AU - Wagner, Gerd AU - Tulba, Florin C3 - 22nd International Conference on Conceptual Modeling, ER 2003 held in conjuction with International Workshop on Conceptual Modeling Approaches for E-Business, eCOMO 2003, International Workshop on Conceptual Modeling Quality, IWCMQ 2003, International Bi-Conference Workshop on Agent-Oriented Information Systems, AOIS 2003 and International Workshop on XML Schema and Data Management, XSDM 2003, October 13, 2003 - October 13, 2003 DA - 2003 DO - 10.1007/978-3-540-39597-3_20 KW - Computational linguistics COMPUTER software data mining Discrete event simulation Information Management Information systems Management information systems Modeling languages Software agents Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2003 SN - 03029743 SP - 205-216 ST - Agent-oriented modeling and agent-based simulation T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Agent-oriented modeling and agent-based simulation UR - http://dx.doi.org/10.1007/978-3-540-39597-3_20 VL - 2814 ID - 1048 ER - TY - CONF AB - OLAP (Online Analytical Processing) operations have been widely accepted as a suitable method for decision support by data analysis. Among others, roll-up and drill-down are practically implemented by using database operations. However, we cannot define them as inverses of each other since they assume how to manage materialized views. In this work, we model these operators in the framework of meta objects, and extend the relational algebra by introducing meta operators group and apply operations. Then we show two OLAP operations can be managed within the framework of (new) database operations. AU - Kashikawa, S. AU - Ogura, S. AU - Shioya, I. AU - Miura, T. C3 - Foundations of Intelligent Systems. 13th International Symposium, ISMIS 2002. Proceedings, 27-29 June 2002 DA - 2002 KW - data mining Data warehouses meta data relational algebra relational databases PB - Springer-Verlag PY - 2002 SP - 203-12 ST - Aggregates as meta functions T3 - Foundations of Intelligent Systems. 13th International Symposium, ISMIS 2002. Proceedings (Lecture Notes in Computer Science Vol.2366) TI - Aggregates as meta functions ID - 1662 ER - TY - JOUR AB - This paper describes the use of an agile text mining platform (Linguamatics' Interactive Information Extraction Platform, I2E) to extract document-level cardiac risk factors in patient records as defined in the i2b2/UTHealth 2014 challenge. The approach uses a data-driven rule-based methodology with the addition of a simple supervised classifier. We demonstrate that agile text mining allows for rapid optimization of extraction strategies, while post-processing can leverage annotation guidelines, corpus statistics and logic inferred from the gold standard data. We also show how data imbalance in a training set affects performance. Evaluation of this approach on the test data gave an F-Score of 91.7%, one percent behind the top performing system. AU - Cormack, James AU - Nath, Chinmoy AU - Milward, David AU - Raja, Kalpana AU - Jonnalagadda, Siddhartha R. DA - 2015/12//undefined DO - 10.1016/j.jbi.2015.06.030 J2 - J Biomed Inform KW - Clinical natural language processing information extraction text mining L1 - internal-pdf://0076593093/Cormack-2015-Agile text mining for the 2014 i2.pdf LA - eng PY - 2015 SN - 1532-0480 1532-0464 SP - S120-127 ST - Agile text mining for the 2014 i2b2/UTHealth Cardiac risk factors challenge T2 - Journal of biomedical informatics TI - Agile text mining for the 2014 i2b2/UTHealth Cardiac risk factors challenge UR - http://ac.els-cdn.com/S1532046415001410/1-s2.0-S1532046415001410-main.pdf?_tid=2cfafc94-8331-11e6-808a-00000aab0f27&acdnat=1474815971_5c468a975f85eb7a731fe0ffa2bcfb93 VL - 58 Suppl ID - 222 ER - TY - JOUR AB - Traditionally, crop production in sub-Saharan Africa (SSA) depends primarily on mining soil nutrients. Integrated Soil Fertility Management (ISFM) is an approach for intensifying agriculture in SSA that aims at maximizing the agronomic efficiency (AE) of applied nutrient inputs. ISFM contains the following essential components: proper fertilizer management, use of improved varieties, the combined application of organic inputs and fertilizer, and adaptation of input application rates to within-farm soil fertility gradients where these are important. This paper evaluates, through meta-analysis, the impact of these components on the AE of fertilizer N (N-AE), defined as extra grain yield per kg fertilizer N applied, in maize-based systems in SSA. Since N-AE is low for excessive fertilizer N application rates or when fertilizer is applied on fertile, unresponsive soil, as was confirmed by scatter plots against control yields and fertilizer N application rates, such values were removed from the database in order to focus on and elucidate the more variable and complex responses under less than ideal conditions typical for SSA. Compared with local varieties, the use of hybrid maize varieties significantly increased N-AE values (17 and 26 kg (kg N)(-1), respectively) with no differences observed between local and improved, open-pollinated varieties. Mixing fertilizer with manure or compost resulted in the highest N-AE values [36 kg (kg N)(-1)] while organic inputs of medium quality also showed significantly higher N-AE values compared with the sole fertilizer treatment but only at low organic input application rates (40 and 23 kg (kg N)(-1), respectively). High quality organic inputs (Class I) and those with a high C-to-N ratio (Class III) or high lignin content (Class IV) did not affect N-AE values in comparison with the sole fertilizer treatment. Application of N fertilizer on infields resulted in significantly higher N-AE values [31 kg (kg N)(-1)] compared with the outfields [17 kg (kg N)(-1)]. The obtained information indicates that N-AE is amenable to improved management practices and that the various components embedded in the ISFM definition result in improvements in N-AE. AU - Vanlauwe, Bernard AU - Kihara, Job AU - Chivenge, Pauline AU - Pypers, Pieter AU - Coe, Ric AU - Six, Johan DA - 2011/02// DO - 10.1007/s11104-010-0462-7 IS - 1-2 PY - 2011 SN - 0032-079X SP - 35-50 ST - Agronomic use efficiency of N fertilizer in maize-based systems in sub-Saharan Africa within the context of integrated soil fertility management T2 - Plant and Soil TI - Agronomic use efficiency of N fertilizer in maize-based systems in sub-Saharan Africa within the context of integrated soil fertility management VL - 339 ID - 1903 ER - TY - BOOK A3 - Xie, H. P. A2 - Wang, Y. H. A2 - Jiang, Y. D. AB - The mining system is usually large systems, It is important to do the mining systems analysis from the viewpoint of dynamic and comprehensive optimization. Al methods are suitable for solution of multi-factor. multi-objective and non-linear problems in large systems. To meet the large mining systems optimization, meta-synthesis as a methodology of systems engineering has been put forward on the order of the way which is concerned with the integration of digital information and knowledge information, the comprehensive application of different Al branches and other optimization techniques. Some related research works are presented in this paper. AU - Zhang, Y. D. AU - Zhang, R. X. AU - Li, X. C. AU - Han, W. L. DA - 2001 PY - 2001 SN - 90-5809-174-0 ST - AI-based comprehensive optimization technology for mining systems analysis TI - AI-based comprehensive optimization technology for mining systems analysis ID - 2054 ER - TY - JOUR AB - In the world of geospatial data infrastructures, geoportals are developed to facilitate access and use of geospatial resources, including data. The design and implementation of effective and efficient geoportals are becoming crucial. Providing possibilities for users to organize and integrate available resources can arguably enhance the process of data discovery and spatial analysis required, and hence, is the focus of this paper. We argue that the synthesis of summaries of distributed datasets, map and feature services through the geoportal can present a coherent view to support data discovery. For this purpose, the atlas metaphor is used as an indexing server and integration interface of summaries. Thematic maps and a storyteller view are accessible through the atlas metaphor. They can be used to provide a supporting context for data discovery and access purposes. AU - Aditya, T. AU - Kraak, M. J. DA - 2007/12// DO - 10.1007/s10707-007-0021-4 IS - 4 J2 - GeoInformatica KW - data mining data visualisation Geographic information systems meta data portals L1 - internal-pdf://1734575198/Aditya-2007-Aim4GDI_ facilitating the synthesi.pdf PY - 2007 SN - 1384-6175 SP - 459-78 ST - Aim4GDI: facilitating the synthesis of GDI resources through mapping and superimpositions of metadata summaries T2 - GeoInformatica TI - Aim4GDI: facilitating the synthesis of GDI resources through mapping and superimpositions of metadata summaries UR - http://dx.doi.org/10.1007/s10707-007-0021-4 VL - 11 ID - 1653 ER - TY - CONF AB - In this paper, we propose an Agent and ontologybased Information Retrieval architecture for mobile grid, named AIR, to discover and extract from mobile grid environment in a flexible, transparent, and easy way. Based on the AIR, users can submit a flat-text based request to mobile grid for discovering information or knowledge. The request will be automatically reasoned by a Reasoning Agent based on ontology and reasoning rule, and be translated to a Mobile Information Retrieving Agent (MIRA) that can be migrated to mobile grid node to retrieve information that users require. In order to generate a mobile IR agent, we propose a Mobile Agent Description Language (MADL) that defines the behavior of mobile IR agent. In addition, a Knowledge Synthesis Agent in the architecture is designed to collect and synthesize information from mobile grids. Finally, we show an interesting example to demonstrate the feasibility of the architecture. 2008 IEEE. AU - Chang, Yue-Shan AU - Luo, Yu-Cheng AU - Shih, Pei-Chun C3 - 3rd IEEE Asia-Pacific Services Computing Conference, APSCC 2008, December 9, 2008 - December 12, 2008 DA - 2008 DO - 10.1109/APSCC.2008.155 KW - Grid computing Information Management information retrieval Information services mining Mobile agents ontology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2008 SP - 650-655 ST - AIR: Agent and ontology-based information retrieval architecture for mobile grid T3 - Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, APSCC 2008 TI - AIR: Agent and ontology-based information retrieval architecture for mobile grid UR - http://dx.doi.org/10.1109/APSCC.2008.155 ID - 479 ER - TY - RPRT AB - Loss of control has become the leading cause of jet fatalities worldwide. Aside from their frequency of occurrence, accidents resulting from loss of aircraft control seize the public s attention by yielding large numbers of fatalities in a single event. In response to the rising threat to aviation safety, NASA's Aviation Safety Program has conducted a study of the loss of control problem. This study gathered four types of information pertaining to loss of control accidents: (1) statistical data; (2) individual accident reports that cite loss of control as a contributing factor; (3) previous meta-analyses of loss of control accidents; and (4) inputs solicited from aircraft manufacturers, air carriers, researchers, and other industry stakeholders. Using these information resources, the study team identified causal factors that were cited in the greatest number of loss of control accidents, and which were emphasized most by industry stakeholders. For each causal factor that was linked to loss of control, the team solicited ideas about what solutions are required and future research efforts that could potentially help avoid their occurrence or mitigate their consequences when they occurred in flight. AU - Jacobson, S. R. CY - United States DA - 2010/03// KW - Aircraft accidents Aircraft control Air transportation data mining Flight safety General aviation aircraft Propulsion system performance statistical analysis Systems analysis Thrust distribution N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 2010 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 49p ST - Aircraft Loss of Control Study TI - Aircraft Loss of Control Study ID - 1214 ER - TY - CONF AB - The Word Wide Web is a continuous challenge to machine learning. Established approaches have to be enhanced and new methods be developed in order to tackle the problem of finding and organising relevant information. It has often been motivated that semantic classifications of input documents help solving this task. But while approaches of supervised text categorisation perform quite well on genres found in written text, newly evolved genres on the Web are much more demanding. In order to successfully develop approaches to Web mining, respective corpora are needed. However, the composition of genre- or domain-specific Web corpora is still an unsolved problem. It is time consuming to build large corpora of good quality because Web pages typically lack reliable meta information. Wikipedia along with similar approaches of collaborative text production offers a way out of this dilemma. We examine how social tagging, as supported by the MediaWiki software, can be utilised as a source of corpus building. Further, we describe a representation format for social ontologies and present the Wikipedia category explorer, a tool which supports categorical views to browse through the Wikipedia and to construct domain specific corpora for machine learning. AU - Gleim, R. AU - Mehler, A. AU - Dehmer, M. AU - Pustylnikov, O. C3 - Third International Conference on Web information systems and technologies, WEBIST 2007, 3-6 March 2007 DA - 2007 KW - category theory data mining Internet learning (artificial intelligence) text analysis PB - INSTICC PY - 2007 SP - 142-9 ST - Aisles through the category forest T3 - Third International Conference on Web information systems and technologies, WEBIST 2007 TI - Aisles through the category forest ID - 1046 ER - TY - JOUR AB - Introduction: There is a growing body of work regarding alcohol use and the workplace. However, little work has been conducted on risk factors for alcohol use in male-dominated industries. Method: A systematic review of risk factors for alcohol use in male-dominated industries was undertaken. A male-dominated industry was defined as an industry comprising predominantly male workers (i.e. 70%). This included agriculture, construction, mining, manufacturing, transport, and utilities industries. Searches were undertaken of major electronic databases (CINAHL, Cochrane Library, Informit, PsycINFO, PubMed and Scopus), the grey literature, and reference lists of retrieved papers for English language studies published between January 1990 and June 2012. Results: Eighteen studies met the inclusion criteria. Most were cross-sectional in design. Methodological quality was assessed as moderate in nine studies and weak in the remainder. Factors associated with risky alcohol use were categorised into seven domains: demographic (being male, middle age), individual (depressed, negative life events), social norms at work (permissive drinking norms), work conditions (high workloads and job stress, low collegial support), team environment (supervisory abuse), work-home interference (using alcohol to unwind after work), and structural/socio-economic (lower SES workers), with some attenuation by income and other SES factors. Conclusion: Alcohol primary prevention strategies and future research that targets specific high risk industries are warranted to address workplace drinking norms, reduce job workloads and stress, and improve workplace support. Multi-pronged, tailored strategies are needed in male-dominated industries that reflect the needs of high risk groups as well as targeting environmental, social, and contextual factors. 2015 Elsevier Ltd. AU - Roche, Ann M. AU - Lee, Nicole K. AU - Battams, Samantha AU - Fischer, Jane A. AU - Cameron, Jacqui AU - McEntee, Alice DA - 2015 DO - 10.1016/j.ssci.2015.04.007 J2 - Safety Science KW - Digital Libraries Occupational risks N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 09257535 SP - 124-141 ST - Alcohol use among workers in male-dominated industries: A systematic review of risk factors T2 - Safety Science TI - Alcohol use among workers in male-dominated industries: A systematic review of risk factors UR - http://dx.doi.org/10.1016/j.ssci.2015.04.007 VL - 78 ID - 1105 ER - TY - CONF AB - Alert monitoring of psychological health for web text is to evaluate and forecast the unhealthy psychological status of web users by the technology of web text mining. Based on the idea of Service Distributed and Management Centralized, this paper proposes a cloud architecture for psychological health analysis and describes the service component representation, workflow customization and workflow execution. With the excellent semantic representation ability of resource description frame (RDF), a service component metadata representation method is presented. Through querying the metadata of service component, end-users could choose the service components and customize the logic workflow on demand. In the workflow execution, the workflow case database is constructed. Through analyzing the similarity between history case and user workflow, a series of workflow reuse strategies are proposed. To validate the performance of the cloud architecture for psychological health analysis, a set of experiments are prepared to test the viability, the results demonstrate that the cloud architecture has higher precision, reuse and scalability for psychological health analysis of web text. AU - Yu, Weng AU - Changjun, Hu AU - Xiaoming, Zhang AU - Huayu, Li C3 - Fifth ChinaGrid Annual Conference (ChinaGrid 2010), 16-18 July 2010 DA - 2010 DO - 10.1109/ChinaGrid.2010.45 KW - data mining Health care Internet meta data psychology text analysis PB - IEEE Computer Society PY - 2010 SP - 152-9 ST - Alert Monitoring Cloud: Psychological Health Analysis of Web Text in Cloud T3 - Proceedings of the Fifth ChinaGrid Annual Conference (ChinaGrid 2010) TI - Alert Monitoring Cloud: Psychological Health Analysis of Web Text in Cloud UR - http://dx.doi.org/10.1109/ChinaGrid.2010.45 ID - 1568 ER - TY - CONF AB - Opinion leaders play a very important role in online communities, which can guide the direction of public opinion. This paper proposes a method to identify opinion leaders, which combine the content influence with the emotion influence as the total influence. Then we take the result as the authority value as the weight of the link between users. On this basis, an algorithm named ISRank is proposed to identify the opinion leaders in BBS, and experiments indicate that ISRank algorithm can effectively improve the accuracy of mining opinion leaders. 2012 IEEE. AU - Cheng, Fusuijing AU - Yan, Chenghui AU - Huang, Yongfeng AU - Zhou, Linna C3 - 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012, October 30, 2012 - November 1, 2012 DA - 2012 DO - 10.1109/CCIS.2012.6664563 KW - Algorithms cloud computing Social aspects N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 1149-1152 ST - Algorithm of identifying opinion leaders in BBS T3 - Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 TI - Algorithm of identifying opinion leaders in BBS UR - http://dx.doi.org/10.1109/CCIS.2012.6664563 VL - 3 ID - 555 ER - TY - CONF AB - In data mining, an important early decision for a user to make is to choose an appropriate technique for analyzing the dataset at hand so that generalizations can be learned. Intuitively, a trial-and-error approach becomes impractical when the number of data mining algorithms is large while experts advice to choose among them is not always available and affordable. Our approach is based on meta-learning, a way to learn from prior learning experience. We propose a new approach using regression to obtain a ranked list of algorithms based on data characteristics and past performance of algorithms in classification tasks. We consider both accuracy and time in generating the final ranked result for classification, although our approach can be extended to regression problems. Springer International Publishing Switzerland 2016. AU - Doan, Tri AU - Kalita, Jugal C3 - 17th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2016, September 7, 2016 - September 10, 2016 DA - 2016 DO - 10.1007/978-3-319-44748-31 KW - Algorithms artificial intelligence data mining Regression Analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2016 SN - 03029743 SP - 3-13 ST - Algorithm selection using performance and run time behavior T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Algorithm selection using performance and run time behavior UR - http://dx.doi.org/10.1007/978-3-319-44748-31 VL - 9883 LNAI ID - 970 ER - TY - JOUR AB - Automatic extraction of semantic information from text and links in Web pages is key to improving the quality of search results. However, the assessment of automatic semantic measures is limited by the coverage of user studies, which do not scale with the size, heterogeneity, and growth of the Web. Here we propose to leverage human-generated metadata - namely topical directories - to measure semantic relationships among massive numbers of pairs of Web pages or topics. The open directory project classifies millions of URLs in a topical ontology, providing a rich source from which semantic relationships between Web pages can be derived. While semantic similarity measures based on taxonomies (trees) are well studied, the design of well-founded similarity measures for objects stored in the nodes of arbitrary ontologies (graphs) is an open problem. This paper defines an information-theoretic measure of semantic similarity that exploits both the hierarchical and non-hierarchical structure of an ontology. An experimental study shows that this measure improves significantly on the traditional taxonomy-based approach. This novel measure allows us to address the general question of how text and link analyses can be combined to derive measures of relevance that are in good agreement with semantic similarity. Surprisingly, the traditional use of text similarity turns out to be ineffective for relevance ranking. AU - Maguitman, A. G. AU - Menczer, F. AU - Erdinc, F. AU - Roinestad, H. AU - Vespignani, A. DA - 2006/12// DO - 10.1007/s11280-006-8562-2 IS - 4 J2 - World Wide Web KW - data mining information retrieval meta data ontologies (artificial intelligence) Semantic Web Web sites PY - 2006 SN - 1386-145X SP - 431-56 ST - Algorithmic computation and approximation of semantic similarity T2 - World Wide Web TI - Algorithmic computation and approximation of semantic similarity UR - http://dx.doi.org/10.1007/s11280-006-8562-2 VL - 9 ID - 1125 ER - TY - JOUR AB - Basal metabolic rate (BMR) is often predicted by allometric interpolation, but such predictions are critically dependent on the quality of the data used to derive allometric equations relating BMR to body mass (Mb). An examination of the metabolic rates used to produce conventional and phylogenetically independent allometries for avian BMR in a recent analysis revealed that only 67 of 248 data unambiguously met the criteria for BMR and had sample sizes with n>/=3. The metabolic rates that represented BMR were significantly lower than those that did not meet the criteria for BMR or were measured under unspecified conditions. Moreover, our conventional allometric estimates of BMR (W; logBMR=-1.461+0.669logMb) using a more constrained data set that met the conditions that define BMR and had n>/=3 were 10%-12% lower than those obtained in the earlier analysis. The inclusion of data that do not represent BMR results in the overestimation of predicted BMR and can potentially lead to incorrect conclusions concerning metabolic adaptation. Our analyses using a data set that included only BMR with n>/=3 were consistent with the conclusion that BMR does not differ between passerine and nonpasserine birds after taking phylogeny into account. With an increased focus on data mining and synthetic analyses, our study suggests that a thorough knowledge of how data sets are generated and the underlying constraints on their interpretation is a necessary prerequisite for such exercises. AU - McKechnie, Andrew E. AU - Wolf, Blair O. DA - 2004/06//May- undefined DO - 10.1086/383511 IS - 3 J2 - Physiol Biochem Zool KW - *Models, Biological *Phylogeny Analysis of Variance Animals Basal Metabolism/*physiology Birds/*physiology Body Weight Research Design Sample Size LA - eng PY - 2004 SN - 1522-2152 1522-2152 SP - 502-521 ST - The allometry of avian basal metabolic rate: good predictions need good data T2 - Physiological and biochemical zoology : PBZ TI - The allometry of avian basal metabolic rate: good predictions need good data VL - 77 ID - 304 ER - TY - JOUR AB - Background: Recent research suggests that variability in brain signal provides important information about brain function in health and disease. However, it is unknown whether blood oxygen level-dependent (BOLD) signal variability is altered in post-traumatic stress disorder (PTSD). We aimed to identify the BOLD signal variability changes of PTSD patients during symptom provocation and compare the brain patterns of BOLD signal variability with those of brain activation. Methods: Twelve PTSD patients and 14 age-matched controls, who all experienced a mining accident, underwent clinical assessment as well as fMRI scanning while viewing trauma-related and neutral pictures. BOLD signal variability and brain activation were respectively examined with standard deviation (SD) and general linear model analysis, and compared between the PTSD and control groups. Multiple regression analyses were conducted to explore the association between PTSD symptom severity and these two brain measures across all subjects as well as in the PTSD group. Results: PTSD patients showed increased activation in the middle occipital gyrus compared with controls, and an inverse correlation was found between PTSD symptom severity and brain activation in the hippocampus and anterior cingulate cortex/medial prefrontal cortex. Brain variability analysis revealed increased SD in the insula, anterior cingulate cortex/medial prefrontal cortex, and vermis, and decreased SD in the parahippocapal gyrus, dorsolateral prefrontal cortex, somatosensory cortex, and striatum. Importantly, SD alterations in several regions were found in both traumatic and neutral conditions and were stratified by PTSD symptom severity. Conclusion: BOLD signal variability may be a reliable and sensitive biomarker of PTSD, and combining brain activation and brain variability analysis may provide complementary insight into the neural basis of this disorder. AU - Ke, Jun AU - Zhang, Li AU - Qi, Rongfeng AU - Xu, Qiang AU - Li, Weihui AU - Hou, Cailan AU - Zhong, Yuan AU - Zhang, Zhiqiang AU - He, Zhong AU - Li, Lingjiang AU - Lu, Guangming DA - 2015 DO - 10.2147/NDT.S87332 L1 - internal-pdf://1989352324/Ke-2015-Altered blood oxygen level-dependent s.pdf PY - 2015 SN - 1178-2021 SP - 1805-1815 ST - Altered blood oxygen level-dependent signal variability in chronic post-traumatic stress disorder during symptom provocation T2 - Neuropsychiatric Disease and Treatment TI - Altered blood oxygen level-dependent signal variability in chronic post-traumatic stress disorder during symptom provocation UR - https://www.dovepress.com/getfile.php?fileID=26109 VL - 11 ID - 2297 ER - TY - JOUR AB - There is a controversial relationship between HLA-A2 and Alzheimer's disease (AD). It has been suggested a modifier effect on the risk that depends on genetic loadings. Thus, the aims of this study were to evaluate this relationship and to reveal genes associated with both concepts the HLA-A gene and AD. Consequently, we did first a classical systematic review and a meta-analysis of case-control studies. Next, by means of an in silico approach, we used experimental knowledge of protein-protein interactions to evaluate the top ranked genes shared by both concepts, previously found through text mining. The meta-analysis did not show a significant pooled OR (1.11, 95% CI: 0.98 to 1.24 in Caucasians), in spite of the fact that four of the included studies had a significant OR > 1 and none of them a significant OR < 1. In contrast, the in silico approach retrieved nonrandomly shared genes by both concepts (P = 0.02), which additionally encode truly interacting proteins. The network of proteins encoded by APP, ICAM-1, ITGB2, ITGAL, SELP, SELL, IL2, IL1B, CD4, and CD8A linked immune to neurodegenerative processes and highlighted the potential roles in AD pathogenesis of endothelial regulation, infectious diseases, specific antigen presentation, and HLA-A2 in maintaining synapses. AU - Cifuentes, Ricardo A. AU - Murillo-Rojas, Juan DA - 2014 DO - 10.1155/2014/791238 J2 - Biomed Res Int KW - *Computer Simulation Alzheimer Disease/complications/genetics/*immunology Gene Regulatory Networks HLA-A2 Antigen/genetics/*immunology Humans Nerve Degeneration/complications/*immunology/pathology Odds Ratio L1 - internal-pdf://1859031536/Cifuentes-2014-Alzheimer's disease and HLA-A2_.pdf LA - eng PY - 2014 SN - 2314-6141 SP - 791238 ST - Alzheimer's disease and HLA-A2: linking neurodegenerative to immune processes through an in silico approach T2 - BioMed research international TI - Alzheimer's disease and HLA-A2: linking neurodegenerative to immune processes through an in silico approach UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4150521/pdf/BMRI2014-791238.pdf VL - 2014 ID - 131 ER - TY - JOUR AB - The name ambiguity problem is especially challenging in the field of bibliographic digital libraries. The problem is amplified when names are collected from heterogeneous sources. This is the case in the Scholarometer system, which performs bibliometric analysis by cross-correlating author names in user queries with those retrieved from digital libraries. The uncontrolled nature of user-generated annotations is very valuable, but creates the need to detect ambiguous names. Our goal is to detect ambiguous names at query time by mining digital library annotation data, thereby decreasing noise in the bibliometric analysis. We explore three kinds of heuristic features based on citations, metadata, and crowdsourced topics in a supervised learning framework. The proposed approach achieves almost 80% accuracy. Finally, we compare the performance of ambiguous author detection in Scholarometer using Google Scholar against a baseline based on Microsoft Academic Search. [All rights reserved Elsevier]. AU - Xiaoling, Sun AU - Kaur, J. AU - Possamai, L. AU - Menczer, F. DA - 2013/03// DO - 10.1016/j.ipm.2012.09.001 IS - 2 J2 - Information Processing & Management KW - bibliographic systems Citation Analysis data mining Digital Libraries learning (artificial intelligence) meta data query processing PY - 2013 SN - 0306-4573 SP - 454-64 ST - Ambiguous author query detection using crowdsourced digital library annotations T2 - Information Processing & Management TI - Ambiguous author query detection using crowdsourced digital library annotations UR - http://dx.doi.org/10.1016/j.ipm.2012.09.001 VL - 49 ID - 1419 ER - TY - JOUR AB - In severe gram-negative infections aminoglycosides generally remain the first-line antibiotic. Their use is limited by the high risk of side effects and, especially, nephrotoxicity. High peak levels are crucial for antibacterial activity, whereas toxic side effects are deter mined by the more prolonged trough levels. Thus, aminoglycosides should not be given by intramuscular injection because the peak levels achieved are inadequate whilst long-lasting elevated plasma trough levels result. On administration of a daily single dose intravenously high antibacterial efficacy can be combined with low nephrotoxicity. Besides the dose-dependent bactericidal effect, the postantibiotic effect of aminoglycosides is of importance. The main site of nephrotoxicity are the proximal tubule epithelial cells. Renal toxicity is usually reversible after discontinuation of drug therapy. Toxic acute renal failure is not uncommon (5-35%) and usually dependent on the underlying disease, preexisting renal function, hydration state, age, cumulative dose, additional medication, previous therapy with aminoglycosides and the choice of the specific aminoglycoside. By implementing a single daily dose regimen in conjunction with adequate hydration, alkalization therapy with bicarbonate, monitoring of plasma trough levels and minimization of the duration of therapy (5 days), development of renal impairment can be prevented in the large majority of patients. Hence, acute renal failure has become an avoidable, and much less frequently observed complication of aminoglycoside therapy due to these measures. AU - Fabrizii, V. AU - Thalhammer, F. AU - Horl, W. H. DA - 1997/11/14/ IS - 21 PY - 1997 SN - 0043-5325 SP - 830-835 ST - Aminoglycoside-induced nephrotoxicity T2 - Wiener Klinische Wochenschrift TI - Aminoglycoside-induced nephrotoxicity VL - 109 ID - 2250 ER - TY - JOUR AB - Mine tailings are man-made environments characterized by low levels of organic carbon and assimilable nitrogen, as well as moderate concentrations of heavy metals. For the introduction of nitrogen into these environments, a key role is played by ammonia-oligotrophic/diazotrophic heavy metal-resistant guilds. In mine tailings from Zacatecas, Mexico, Serratia liquefaciens was the dominant heterotrophic culturable species isolated in N-free media from bulk mine tailings as well as the rhizosphere, roots, and aerial parts of pioneer plants. S. liquefaciens strains proved to be a meta-population with high intraspecific genetic diversity and a potential to respond to these extreme conditions. The phenotypic and genotypic features of these strains reveal the potential adaptation of S. liquefaciens to oligotrophic and nitrogen-limited mine tailings with high concentrations of heavy metals. These features include ammonia-oligotrophic growth, nitrogen fixation, siderophore and indoleacetic acid production, phosphate solubilization, biofilm formation, moderate tolerance to heavy metals under conditions of diverse nitrogen availability, and the presence of zntA, amtB, and nifH genes. The acetylene reduction assay suggests low nitrogen-fixing activity. The nifH gene was harbored in a plasmid of 60 kb and probably was acquired by a horizontal gene transfer event from Klebsiella variicola. AU - Zelaya-Molina, Lily X. AU - Hernandez-Soto, Luis M. AU - Guerra-Camacho, Jairo E. AU - Monterrubio-Lopez, Ricardo AU - Patino-Siciliano, Alfredo AU - Villa-Tanaca, Lourdes AU - Hernandez-Rodriguez, Cesar DA - 2016/08// DO - 10.1007/s00248-016-0771-3 IS - 2 PY - 2016 SN - 0095-3628 SP - 324-346 ST - Ammonia-Oligotrophic and Diazotrophic Heavy Metal-Resistant Serratia liquefaciens Strains from Pioneer Plants and Mine Tailings T2 - Microbial Ecology TI - Ammonia-Oligotrophic and Diazotrophic Heavy Metal-Resistant Serratia liquefaciens Strains from Pioneer Plants and Mine Tailings VL - 72 ID - 2120 ER - TY - JOUR AB - To assist in interpreting the hydrodynamics of a complex coastal environment, a Self Organizing Map (SOM) has been constructed using output from a three-dimensional hydrodynamic model of the Huon-D'Entrecasteaux region in South-East Tasmania, over a one-year period. Interpretation of the SOM enabled nine characteristic or prototype states to be identified. As expected, the dominant forcing mechanisms were freshwater input via riverine discharge and input from oceanic waters. While these mechanisms are well understood, subtle features associated with the interaction of the two forcing mechanisms and the transitions between meta-stable states, were revealed by visualizing the SOM output. Further investigation was undertaken to determine how effective the SOM would be in identifying these prototype states given sensor data from a sensor network being designed for future deployment within the region. This research has demonstrated that SOM analysis can be a useful tool for identifying and interpreting patterns in large oceanographic datasets. 2014 Elsevier Ltd. AU - Williams, Raymond N. AU - De Souza, Paulo A. AU - Jones, Emlyn M. DA - 2014 DO - 10.1016/j.envsoft.2014.03.001 J2 - Environmental Modelling and Software KW - Conformal mapping data mining Data processing Fluid dynamics Pattern recognition Self organizing maps Sensor networks N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 13648152 SP - 165-176 ST - Analysing coastal ocean model outputs using competitive-learning pattern recognition techniques T2 - Environmental Modelling and Software TI - Analysing coastal ocean model outputs using competitive-learning pattern recognition techniques UR - http://dx.doi.org/10.1016/j.envsoft.2014.03.001 VL - 57 ID - 1484 ER - TY - CONF AB - The presentation of results from Systematic Literature Reviews (SLRs) is generally done using tables. Prior research suggests that results summarized in tables are often difficult for readers to understand. One alternative to improve results' comprehensibility is to use graphical representations. The aim of this work is twofold: first, to investigate whether graph representations result is better comprehensibility than tables when presenting SLR results; second, to investigate whether interpretation using graphs impacts on performance, as measured by the time consumed to analyse and understand the data. We selected an SLR published in the literature and used two different formats to represent its results - tables and graphs, in three different combinations: (i) table format only; (ii) graph format only; and (iii) a mixture of tables and graphs. We conducted an experiment that compared the performance and capability of experts in SLR, as well as doctoral and masters students, in analysing and understanding the results of the SLR, as presented in one of the three different forms. We were interested in examining whether there is difference between the performance of participants using tables and graphs. The graphical representation of SLR data led to a reduction in the time taken for its analysis, without any loss in data comprehensibility. For our sample the analysis of graphical data proved to be faster than the analysis of tabular data. However, we found no evidence of a difference in comprehensibility whether using tables, graphical format or a combination. Overall we argue that graphs are a suitable alternative to tables when it comes to representing the results of an SLR. 2011 IEEE. AU - Felizardo, Katia Romero AU - Riaz, Mehwish AU - Sulayman, Muhammad AU - Mendes, Emilia AU - MacDonell, Stephen G. AU - Maldonado, Jose Carlos C3 - 25th Brazilian Symposium on Software Engineering, SBES 2011, September 28, 2011 - September 30, 2011 DA - 2011 DO - 10.1109/SBES.2011.9 KW - Graphic methods software engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 SP - 174-183 ST - Analysing the use of graphs to represent the results of systematic reviews in software engineering T3 - Proceedings - 25th Brazilian Symposium on Software Engineering, SBES 2011 TI - Analysing the use of graphs to represent the results of systematic reviews in software engineering UR - http://dx.doi.org/10.1109/SBES.2011.9 ID - 1155 ER - TY - JOUR AB - Based on a meta-analysis of data mined from almost 2000 publications on bioactive natural products (NPs) from >80 000 pages of 13 different journals published in 1998-1999, 2004-2005, and 2009-2010, the aim of this systematic review is to provide both a survey of the status quo and a perspective for analytical methodology used for isolation and purity assessment of bioactive NPs. The study provides numerical measures of the common means of sourcing NPs, the chromatographic methodology employed for NP purification, and the role of spectroscopy and purity assessment in NP characterization. A link is proposed between the observed use of various analytical methodologies, the challenges posed by the complexity of metabolomes, and the inescapable residual complexity of purified NPs and their biological assessment. The data provide inspiration for the development of innovative methods for NP analysis as a means of advancing the role of naturally occurring compounds as a viable source of biologically active agents with relevance for human health and global benefit. AU - Pauli, Guido F. AU - Chen, Shao-Nong AU - Friesen, J. Brent AU - McAlpine, James B. AU - Jaki, Birgit U. DA - 2012/06// DO - 10.1021/np300066q IS - 6 PY - 2012 SN - 0163-3864 SP - 1243-1255 ST - Analysis and Purification of Bioactive Natural Products: The AnaPurNa Study T2 - Journal of Natural Products TI - Analysis and Purification of Bioactive Natural Products: The AnaPurNa Study VL - 75 ID - 1954 ER - TY - JOUR AB - Heterogeneous information network (HIN), which is composed of different types of objects and links, has gradually become a hot topic in social network analysis. As a unique characteristic of HIN, meta path contains rich semantic information. Heterogeneous information network with values on links are ubiquitous in real world. Therefore, the traditional meta path, which doesn't consider weight on links, can not exactly capture semantics in many cases. Related concepts of HIN were introduced and a brief introduction of applications of HIN was given. Then subtle semantic information in HIN was explored by extending the traditional meta path to weighted meta path. Experiments on two real data sets demonstrate the applications of the weighted meta path in recommendation, relevance search. AU - Wang, Rui AU - Zhang, Zhigiang AU - Shi, Chuan DA - 2015/07// DO - 10.11959/j.issn.1000-0801.2015166 IS - 7 J2 - Telecommunications Science KW - information networks Recommender systems relevance feedback semantic networks Social networking (online) PY - 2015 SN - 1000-0801 SP - 2015180-(10 pp.) ST - Analysis and Semantic Mining in Heterogeneous Information Network T2 - Telecommunications Science TI - Analysis and Semantic Mining in Heterogeneous Information Network UR - http://dx.doi.org/10.11959/j.issn.1000-0801.2015166 VL - 31 ID - 1552 ER - TY - RPRT AB - Most of the literature dealing with the econmic geology and exploitation of uranium deposits in the United States has been published since 1950, primarily by the Department of Energy (DOE) and its predecessor agencies. The limited availability of much of these data, combined with the inexperience of many electric power utilities and, to some extent, mining companies with regard to uranium exploration, frequently resulted in the inauguration of ill-conceived and duplicative efforts. To assess the value of this literature in light of present knowledge, a systematic review of those publications dealing with uranium exploration, and the economic geology, evaluation, and exploitation of uranium deposits was undertaken. Matrix reports (summaries) have been prepared for each of the nearly 2500 documents reviewed. This material is available through the computerized literature search services of the Oak Ridge National Laboratory. In addition, thirteen discipline reviews and summary reports were compiled within the broad fields of uraium geology and mining engineering frm which any advances in knowledge would have the greatest impact on the future discovery and exploitation of uranium deposits. A final chapter presents a critique of the DOE National Uranium Resource Evaluation Program, as judged by members of the uranium industry. A two-part report summarizes and analyzes the results of this investigation. Part 1 is primarily an introduction to the various types of uranium deposits, the geologic and structural environments in which they occur, and the mechanisms for their emplacement. Part 2 considers the various techniques used to explore, evaluate, and exploit uranium deposits. The report is intended to serve as a major source of basic information concerning previous uranium-related studies for all those involved with the search for and utilization of uranium. (ERA citation 05:031620) CY - United States DA - 1980/03// KW - Bibliographies Exploration Geochemistry Geology Geophysics Reviews technology assessment Uranium deposits Uranium mines Uranium reserves N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 1980 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 449p ST - Analysis of AEC-ERDA-DOE and USGS Uranium Program Data: Disipline Reviews and Summary Reports. Final Report TI - Analysis of AEC-ERDA-DOE and USGS Uranium Program Data: Disipline Reviews and Summary Reports. Final Report ID - 483 ER - TY - JOUR AB - Textual pattern mining is one of the major research areas in the field of data mining. The data mining is a emergent technique which adopts many approaches and methods from other fields of study. The data mining is implemented in other areas to learn hidden knowledge. In this study, Artificial Neural Network (ANN) is used for learning textual pattern in the Metadata conceptual mining model. The proposed learning algorithm is called as, analysis of bilateral intelligence, which is used to identify and classify the synonymy of the sentences. The proposed method provides efficient learning by identifying the patterns which have synonymy. The results of the proposed work show that the convergent of the training algorithm is very fast than existing methodology. From the results, it is concluded that the performance of proposed ABI is optimized. Hence, the proposed Metadata conceptual mining model with ABI learning will provide optimality than existing clustering algorithm. AU - Koteeswaran, S. AU - Kannan, E. DA - 2013 DO - 10.3923/itj.2013.867.870 IS - 4 J2 - Information Technology Journal KW - data mining learning (artificial intelligence) meta data neural nets pattern classification pattern clustering text analysis PY - 2013 SN - 1812-5638 SP - 867-70 ST - Analysis of Bilateral Intelligence (ABI) for Textual Pattern Learning T2 - Information Technology Journal TI - Analysis of Bilateral Intelligence (ABI) for Textual Pattern Learning UR - http://dx.doi.org/10.3923/itj.2013.867.870 VL - 12 ID - 1619 ER - TY - CONF AB - This research defines the basis for a new quantitative approach for retrieving useful analogies for innovation based on the relevant performance characteristics of critical functions. Analogy matching is made possible by the novel incorporation of Non Uniform Rational B-spline (NURBs) based metamodels enabling the efficient representation of critical function performance. The concept of critical functionality is central to this research effort. Metamodels of the performance of critical functions, obtained from simulations, engineering models (such as bond graphs) and/or experimental data collections, will be organized into a searchable repository of innovative analogies. This approach will enable multiple analogies to be presented to the designer with a quantified match metric related to the desired performance benefit to the design. The impact of this approach for inspiring novel designs will be measured through controlled experiments measuring the impact of the analogies on the innovation of design. The ultimate research goal will be verified using MetaAnalogy via Performance Specification (MAPS) technique at both the conceptual design phase and throughout the design process. Engineering innovation is critical to meet a vast array of challenges including the grand engineering challenges of the 21st century in the form of energy and environmental solutions. Copyright 2013 by ASME. AU - Lucero, Briana AU - Viswanathan, Vimal AU - Linsey, Julie AU - Turner, Cameron C3 - ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2013, August 4, 2013 - August 7, 2013 DA - 2013 DO - 10.1115/DETC2013-13472 KW - Conceptual design Innovation Research Specifications N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Society of Mechanical Engineers PY - 2013 SP - Computers-and Information in Engineering Division; Design Engineering Division ST - Analysis of critical functionality for meta analogy via performance specification T3 - Proceedings of the ASME Design Engineering Technical Conference TI - Analysis of critical functionality for meta analogy via performance specification UR - http://dx.doi.org/10.1115/DETC2013-13472 VL - 2 A ID - 1382 ER - TY - CONF AB - The symmetric/asymmetric planar slab waveguide is simplest waveguide structure to be analyzed. These waveguides are used in optical communication systems. In this paper, we have derived the Eigen value equation by using the transmission line (TL) method for the case of Double Negative Meta-material (DNG) slab. The derived results have been exactly matched with the existing results found into the literatures. The unusual behaviour of double negative meta-material is predicted. Dispersion study (b-v graph), mode field profile and power confinement factor are also being discussed at the end. AU - Raghuwanshi, Sanjeev Kumar AU - Kumar, Santosh AU - Pandey, Radha Raman C3 - Progress in Electromagnetics Research Symposium, PIERS 2012 Moscow, August 19, 2012 - August 23, 2012 DA - 2012 KW - Dispersions Metamaterials Waveguides N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Electromagnetics Academy PY - 2012 SN - 15599450 SP - 702-706 ST - Analysis of Double Negative Meta-material asymmetric planar slab waveguide by transmission equivalent T-circuit model T3 - Progress in Electromagnetics Research Symposium TI - Analysis of Double Negative Meta-material asymmetric planar slab waveguide by transmission equivalent T-circuit model ID - 1386 ER - TY - JOUR AU - Hu, Yanhui AU - Hines, Lisa M. AU - Weng, Haifeng AU - Zuo, Dongmei AU - Rivera, Miguel AU - Richardson, Andrea AU - LaBaer, Joshua DA - 2003 DP - Google Scholar IS - 4 L1 - https://www.researchgate.net/profile/Joshua_Labaer/publication/10597585_Analysis_of_genomic_and_proteomic_data_using_advanced_literature_mining/links/09e4150f6cd6b9336d000000.pdf PY - 2003 SP - 405-412 ST - Analysis of genomic and proteomic data using advanced literature mining T2 - Journal of proteome research TI - Analysis of genomic and proteomic data using advanced literature mining UR - http://pubs.acs.org/doi/abs/10.1021/pr0340227 VL - 2 Y2 - 2016/09/24/15:33:48 ID - 2321 ER - TY - JOUR AB - This paper provides a comprehensive and systematic review of literature pertaining to consumer/household/ residential adoption and diffusion issues in relation to ICT/lT/lS to ascertain the current "state of play" within the field along a number of dimensions. Eighty articles on the adoption, acceptance and diffusion of lCT/IT/IS, published in 54 peer reviewed journals between 1998 and 2008, were reviewed, from which information on a series of variables were extracted. The subsequent findings suggest that the positivist paradigm, empirical and quantitative research, the survey method and the TAM theory were predominantly used when investigating the topics of the adoption and diffusion of technology within the consumer/household/residential context. AU - Dwivedi, Y. K. AU - Williams, M. D. AU - Lal, B. AU - Mustafee, N. DA - 2010/10// DO - 10.4018/jegr.2010100105 IS - 4 J2 - International Journal of Electronic Government Research KW - Information systems Information technology PY - 2010 SN - 1548-3886 SP - 58-73 ST - An Analysis of Literature on Consumer Adoption and Diffusion of Information System/Information Technology/Information and Communication Technology T2 - International Journal of Electronic Government Research TI - An Analysis of Literature on Consumer Adoption and Diffusion of Information System/Information Technology/Information and Communication Technology UR - http://dx.doi.org/10.4018/jegr.2010100105 http://www.igi-global.com/article/analysis-literature-consumer-adoption-diffusion/46952 VL - 6 ID - 490 ER - TY - JOUR AB - Precious metals, including gold and the platinum group metals (notable Pt, Pd and Rh), are mined commercially at concentrations of a few parts-per-million and below. Mining and processing operations demand sensitive and rapid analysis at concentrations down to about 100 parts-per-billion (ppb). In this paper, we discuss two technologies being developed to meet this challenge: X-ray fluorescence (XRF) and gamma-activation analysis (GAA).We have designed on-stream XRF analysers capable of measuring targeted elements in slurries with precisions in the 35-70. ppb range. For the past two years, two on-stream analysers have been in continuous operation at a precious metals concentrator plant. The simultaneous measurement of feed and waste stream grades provides real-time information on metal recovery, allowing changes in operating conditions and plant upsets to be detected and corrected more rapidly.Separately, we have been developing GAA for the measurement of gold as a replacement for the traditional laboratory fire-assay process. High-energy Bremsstrahlung X-rays are used to excite gold via the197Au(,')197Au-M reaction, and the gamma-rays released in the decay of the meta-state are then counted. We report on work to significantly improve accuracy and detection limits. 2015 Elsevier Ltd. AU - Tickner, James AU - O'Dwyer, Joel AU - Roach, Greg AU - Smith, Michael AU - Van Haarlem, Yves DA - 2015 DO - 10.1016/j.radphyschem.2015.01.006 J2 - Radiation Physics and Chemistry KW - Activation analysis Chemical activation Economic geology Fluorescence Gallium alloys Gamma rays Gold Metal analysis Metal recovery Metals Palladium Platinum Platinum metals Precious metals Trace analysis Trace elements N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 0969806X SP - 43-47 ST - Analysis of precious metals at parts-per-billion levels in industrial applications T2 - Radiation Physics and Chemistry TI - Analysis of precious metals at parts-per-billion levels in industrial applications UR - http://dx.doi.org/10.1016/j.radphyschem.2015.01.006 VL - 116 ID - 1282 ER - TY - JOUR AB - Located in Dandong City, Liaoning Province, Sidaogou gold deposit is of medium-temperature hydrothermal type, mainly occurs in the meta-sandstone strata of Liaohe Group of Early Proterozoic era, and is genetically related to the intermediate-felsic magmatic activities of the Yanshan episode. The spatial distribution of ore-bodies was jointly controlled by the NE strike F3 fault and the Shujing anticline developed in the hanging wall of F3. The structural ore-controlling regularities are as follows: 1)The ore-bodies occur mainly in the interbedded brecciation zones developed in the Shujing anticline and spatially display in belts; 2)The major ore-bodies display in a broom-shaped way from east to west; and 3)The ore-bodies in each ore belt mainly distribute at the western side of the hinge zone of Shujing anticline and clearly flank dip toward SE with the flank dipping angle between 30 to 35. Based on this comprehensive study, we propose that the regular spatial occurrences of the ore-bodies in the mining district are closely related to the dextrorotation-oblique thrust motion of the NE faults. All these structural ore-controlling rules have both great theoretical and practical significances to the subsequent exploration work in the mining district. AU - Wang, Ke-Yong AU - Wan, Duo AU - Liu, Zheng-Hong AU - Sun, Feng-Yue AU - Bian, Hong-Ye AU - Zhang, Xiao-Dong AU - Huang, Jun-Peng DA - 2011 IS - 4 J2 - Jilin Daxue Xuebao (Diqiu Kexue Ban)/Journal of Jilin University (Earth Science Edition) KW - Deposits Gold Gold deposits Ore analysis Ores Uranium mines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 16715888 SP - 1048-1054 ST - Analysis of structural ore-controlling rules and mechanism of the Sidaogou gold deposit in Dandong city, Liaoning province T2 - Jilin Daxue Xuebao (Diqiu Kexue Ban)/Journal of Jilin University (Earth Science Edition) TI - Analysis of structural ore-controlling rules and mechanism of the Sidaogou gold deposit in Dandong city, Liaoning province VL - 41 ID - 1185 ER - TY - CONF AB - Path-based graph algorithms are key building blocks for several link prediction and spatial mining applications. As the sizes of social, transport and communication networks expand, performing scalable traversal algorithms like SSSP are critical. While there is heightened interest in vertex-centric platforms for scalable graph analysis, there is limited literature on understanding the behavior of distributed algorithms designed using them. Consequently, it is often difficult to offer a tight bound on their algorithm's complexity. Here, using SSSP as a canonical algorithm on a sub graph-centric abstraction, we perform an algorithmic analysis of its characteristics using meta-graph sketches. We then analyze its empirical performance using real-world graphs to correlate the expected and observed outcomes. Our analysis shows that the runtime behavior of the SSSP algorithm meets the expected behavior, and confirms the bounds on the number of times Dijkstra's is performed, based on the traversal visit of the meta-graph. AU - Dindokar, R. AU - Choudhury, N. AU - Simmhan, Y. C3 - 2015 IEEE 29th International Parallel and Distributed Processing Symposium Workshop (IPDPSW), 25-29 May 2015 DA - 2015 DO - 10.1109/IPDPSW.2015.87 KW - distributed algorithms Graph theory PB - IEEE Computer Society PY - 2015 SP - 1185-90 ST - Analysis of Subgraph-Centric Distributed Shortest Path Algorithm T3 - 2015 IEEE 29th International Parallel and Distributed Processing Symposium Workshop (IPDPSW). Proceedings TI - Analysis of Subgraph-Centric Distributed Shortest Path Algorithm UR - http://dx.doi.org/10.1109/IPDPSW.2015.87 ID - 994 ER - TY - JOUR AB - Path-based graph algorithms are key building blocks for several link prediction and spatial mining applications. As the sizes of social, transport and communication networks expand, performing scalable traversal algorithms like SSSP are critical. While there is heightened interest in vertex-centric platforms for scalable graph analysis, there is limited literature on understanding the behavior of distributed algorithms designed using them. Consequently, it is often difficult to offer a tight bound on their algorithm's complexity. Here, using SSSP as a canonical algorithm on a subgraph-centric abstraction, we perform an algorithmic analysis of its characteristics using meta-graph sketches. We then analyze its empirical performance using real-world graphs to correlate the expected and observed outcomes. Our analysis shows that the runtime behavior of the SSSP algorithm meets the expected behavior, and confirms the bounds on the number of times Dijkstra's is performed, based on the traversal visit of the meta-graph. AU - Dindokar, Ravikant AU - Choudhury, Neel AU - Simmhan, Yogesh DA - 2015 DO - 10.1109/IPDPSW.2015.87 PY - 2015 SP - 1185-1190 ST - Analysis of Subgraph-centric Distributed Shortest Path Algorithm T2 - 2015 Ieee 29th International Parallel and Distributed Processing Symposium Workshops TI - Analysis of Subgraph-centric Distributed Shortest Path Algorithm ID - 2224 ER - TY - JOUR AB - Annual meeting abstracts published by scientific societies often contain rich arrays of information that can be computationally mined and distilled to elucidate the state and dynamics of the subject field. We extracted and processed abstract data from the Society for Neuroscience (SFN) annual meeting abstracts during the period 2001-2006 in order to gain an objective view of contemporary neuroscience. An important first step in the process was the application of data cleaning and disambiguation methods to construct a unified database, since the data were too noisy to be of full utility in the raw form initially available. Using natural language processing, text mining, and other data analysis techniques, we then examined the demographics and structure of the scientific collaboration network, the dynamics of the field over time, major research trends, and the structure of the sources of research funding. Some interesting findings include a high geographical concentration of neuroscience research in the north eastern United States, a surprisingly large transient population (66% of the authors appear in only one out of the six studied years), the central role played by the study of neurodegenerative disorders in the neuroscience community, and an apparent growth of behavioral/systems neuroscience with a corresponding shrinkage of cellular/molecular neuroscience over the six year period. The results from this work will prove useful for scientists, policy makers, and funding agencies seeking to gain a complete and unbiased picture of the community structure and body of knowledge encapsulated by a specific scientific domain. AU - Lin, John M. AU - Bohland, Jason W. AU - Andrews, Peter AU - Burns, Gully A. P. C. AU - Allen, Cara B. AU - Mitra, Partha P. DA - 2008 DO - 10.1371/journal.pone.0002052 IS - 4 J2 - PLoS One KW - *Abstracting and Indexing as Topic/statistics & numerical data *Congresses as Topic *Neurosciences *Societies, Medical Algorithms Authorship Cluster Analysis Demography Geography Linguistics National Institutes of Health (U.S.) Research Support as Topic United States L1 - internal-pdf://0284327308/Lin-2008-An analysis of the abstracts presente.pdf LA - eng PY - 2008 SN - 1932-6203 1932-6203 SP - e2052 ST - An analysis of the abstracts presented at the annual meetings of the Society for Neuroscience from 2001 to 2006 T2 - PloS one TI - An analysis of the abstracts presented at the annual meetings of the Society for Neuroscience from 2001 to 2006 UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2324197/pdf/pone.0002052.pdf VL - 3 ID - 258 ER - TY - JOUR AB - The main objective of this study is to define the core attributes that influence the member firms of small and medium enterprise collaborative innovation networks (SME CINs) to join collaborative research and development (R&D) projects provided by the inter-firm networking of SMEs in technology-intensive clustering assistance (TICA) projects. We used social network analysis, resource dependence theory, and transaction cost analysis to select the attributes of firms and a rough sets approach to mine rules that explain whether firms join collaborative projects. Especially, this study utilized a rough sets model and identified the core attributes. The familiarity and connections that members share with one another are found to be the core attributes of members in SME CINs that push them to join collaborative innovation activities. Further, the existence of relationships among SMEs is more important than the strength of the relationships themselves. AU - Tai, Yu-Lien AU - Watada, Junzo AU - Su, Hsiu Hsien DA - 2010 PY - 2010 ST - Analysis of the Familiarity and Mutual Dependency of Firms from the Perspective of SME CINs' Effectiveness T2 - Picmet 2010: Technology Management for Global Economic Growth TI - Analysis of the Familiarity and Mutual Dependency of Firms from the Perspective of SME CINs' Effectiveness ID - 2263 ER - TY - JOUR AB - OBJECTIVE: To analyze the therapeutic regularities and characteristics of blood-letting therapy for acne in the past clinical practice by using data mining. METHODS: Original papers about acne treated by pricking blood therapy were searched and screened from common databases as Chinese National Knowledge Infrastructure Database (CNKI), WanFang Data, SinoMed, Ovid, ScienceDirect, Socolar, SciFinder, Foreign Medical Journal Full-Text Service (FMJS) and PubMed using keywords of acne+bleeding therapy, acne+blood-letting, acne+ pricking blood, followed by establishing a data plateform to conduct a data mining using Online Analytical Processing (OLAP). RESULTS: A total of 230 original journal articles about acne treated by pricking blood therapy were collected. The included acne cases with wind-heat pattern were predoment, being 56 in frequency-times and acounting for 24. 78 %. In the treatment of acne, the therapeutic tool, three-edged needle was often used, being 168 in frequency and acounting for 71.79%. The frequently employed acupoints were those of the Governor Vessel and Bladder Meridian, such as Dazhui (GV 14) and back-shu points. When auricular points used for blood-letting, Erjian (EX-HN 6) and the Vena of the auricular back were most frequently selected. In addition to blood-letting, other therapies such as Chinese herbal medicines, filiform needles, and otopoint-pellet pressure were also used in combination, being 166 in items and constituting 72. 17%. Generally, blood-letting treatment was conducted once every three days (twice a week) or once every two days (three times a week) for about 20 sessions for each acne patient. CONCLUSION: Blood-letting therapy is effective in the treatment of acne. But if used in combination with other therapies, the therapeutic effect would be better. AU - Du, Yu-zhu AU - Jia, Chun-sheng AU - Wang, Jian-ling AU - Shi, Jing AU - Zhang, Xiao-xu AU - Liu, Xin AU - Gang, Wei-juan DA - 2015/06//undefined IS - 3 J2 - Zhen Ci Yan Jiu KW - *Bloodletting *Data Mining Acne Vulgaris/*therapy Acupuncture Points Female Humans Male Randomized Controlled Trials as Topic LA - chi PY - 2015 SN - 1000-0607 1000-0607 SP - 251-257 ST - [Analysis of Therapeutic Regularities and Characteristics of Blood-letting Therapy for Acne Patients Based on Data Mining] T2 - Zhen ci yan jiu = Acupuncture research / [Zhongguo yi xue ke xue yuan Yi xue qing bao yan jiu suo bian ji] TI - [Analysis of Therapeutic Regularities and Characteristics of Blood-letting Therapy for Acne Patients Based on Data Mining] VL - 40 ID - 82 ER - TY - CHAP A2 - Tanino, T. A2 - Tanaka, T. A2 - Inuiguchi, M. AB - This paper provides a commentary and some analysis on recent advances in the field of distance metric optimisation, with particular reference to the place of distance metric optimisation within the overall disciplines of operational research and soft computing. The trend of integration and combination with other techniques is examined, with particular reference to the analytical hierarchy method, meta-heuristic methods, and data mining. Finally, some further thoughts on good modelling practice for distance metric optimisation models are offered. AU - Jones, D. F. AU - Tamiz, M. PY - 2003 SN - 3-540-00653-2 SP - 19-26 ST - Analysis of trends in distance metric optimisation modelling for operational research and soft computing T2 - Multi-Objective Programming and Goal Programming TI - Analysis of trends in distance metric optimisation modelling for operational research and soft computing ID - 2011 ER - TY - JOUR AB - OBJECTIVE: To analyze the potential learning and regularity characters of clinical application of acupoint injection in modern literature of Chinese medicine by using data mining technique, so as to provide a reference for clinical application of this therapy. METHODS: A database was established first by computer recording of the standardized information data after collection of papers about acupoint injection therapy published in modern medical journals, collections of theses of medical academic conferences, dissertations for medical master's and doctor's degrees. Then, the data mining technique was employed to conduct cross link design about the types or categories of illnesses or clinical conditions, categories of departments, selection of Chinese materia medica, acupoint recipes, and clinical outcomes, etc. At last, the rules and characteristics of the acupoint injection were summarized and analyzed. RESULTS: The acupoint injection therapy enjoys the first rank of therapies for the treatment of diseases or clinical conditions of the internal medicine, and the second rank in the treatment of surgical problems. With respect to the types of illnesses or clinical conditions, it is used most frequently for hiccup and backlog pain. Generally, about 4 acupoints and 2 categories of medicines (Chinese herbal medicine or western medicine preparations) are selected in one session of treatment by using the acupoint injection therapy. The acupoints used are those close to and remote to the loci. The drugs predominately employed are single or compound western medicine preparations. The total effective rate is up to more than 93%. CONCLUSION: The acupoint injection therapy has some obvious advantages in the treatment of clinical conditions or illness of the internal medicine and surgical problems, especially for hiccup and backlog pain. It is simple in clinical application and has a higher therapeutic effect. AU - Xu, Xiao-Kang AU - Jia, Chun-Sheng AU - Wang, Jian-Ling AU - Shi, Jing AU - Qin, Liang AU - Zhang, Xin AU - Zhang, Xuan-Ping DA - 2012/04//undefined IS - 2 J2 - Zhen Ci Yan Jiu KW - *Acupuncture Points *Data Mining *Drug Therapy Drugs, Chinese Herbal/*administration & dosage Humans LA - chi PY - 2012 SN - 1000-0607 1000-0607 SP - 155-160 ST - [Analysis on characteristics and regularities of efficacies of acupoint injection by using data mining technique] T2 - Zhen ci yan jiu = Acupuncture research / [Zhongguo yi xue ke xue yuan Yi xue qing bao yan jiu suo bian ji] TI - [Analysis on characteristics and regularities of efficacies of acupoint injection by using data mining technique] VL - 37 ID - 209 ER - TY - JOUR AB - For traditional mineral development issues such as excessive consumption of resources, deterioration of the ecological environment, proposed develops the vein mining industry on the basis of the artery mining industry, forms the positive cycle system, realizes the integrated development of vein mining industry and artery mining industry. The integrated development of artery mining industry and vein mining industry is an open complex system, the traditional scientific methods cannot solve complex system problems, and complexity science method must be used to resolve it. Through complexity analysis of dissipative structure, coordination effect , overall emergence and complex adaptive system (CAS) of artery mining industry and vein mining industry integrated development, proposed the methodology of research artery mining industry and vein mining industry integrated development is the meta-synthesis, has provided a path of sustainable development for the region mining industry. AU - Dehua, Wu DA - 2014 DO - 10.4028/www.scientific.net/AMM.448-453.3830 J2 - Applied Mechanics and Materials KW - large-scale systems mining industry sustainable development PY - 2014 SN - 1660-9336 SP - 3830-6 ST - Analysis on Complexity of Integrated Development of Artery Mining Industry and Vein Mining Industry T2 - Applied Mechanics and Materials TI - Analysis on Complexity of Integrated Development of Artery Mining Industry and Vein Mining Industry UR - http://dx.doi.org/10.4028/www.scientific.net/AMM.448-453.3830 http://www.scientific.net/AMM.448-453.3830 VL - 448-453 ID - 1853 ER - TY - JOUR AB - To analyze the prescription and medication regularities of traditional Chinese medicines in the treatment of melancholia in the Chinese journal full text database (CNKI), Wanfang Data knowledge service platform, VIP, Chinese biomedical literature database (CBM) in based on the traditional Chinese medicine inheritance support platform software, in order to provide reference for further mining traditional Chinese medicines for the treatment of melancholia and new drug development. The traditional Chinese medicine inheritance support platform software V2.0 was used to establish the prescription database of traditional Chinese medicines for treating melancholia. The software integrated data mining method was adopted to analyze four Qis, five flavors, meridian distribution, frequency statistics, syndrome distribution, composition regularity and new prescriptions. Totally 358 prescriptions for treating melancholia were analyzed to determine the frequency of prescription drugs, commonly used drug pairs and combinations and develop 22 new prescriptions. According to this study, prescriptions for treating depression collected in modern literature databases mainly have the effects in soothing liver and resolving melancholia, strengthening spleen and eliminating phlegm, activating and replenishing blood, regulating liver qi, tonifying spleen qi, clearing heat and purging heat, soothing the mind, nourishing yin and tonifying kidney, with neutral drug property and sweet or bitter flavor, and follow the melancholia treatment principle of "regulating qi and opening the mind, regulating qi and empathy". AU - Zhao, Yan-qing AU - Teng, Jing AU - Yang, Hong-jun DA - 2015/05//undefined IS - 10 J2 - Zhongguo Zhong Yao Za Zhi KW - data mining Depressive Disorder/*drug therapy Drug Prescriptions Drugs, Chinese Herbal/*therapeutic use Humans Treatment Outcome LA - chi PY - 2015 SN - 1001-5302 1001-5302 SP - 2042-2046 ST - [Analysis on medication regularity of modern traditional Chinese medicines in treating melancholia based on data mining technology] T2 - Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica TI - [Analysis on medication regularity of modern traditional Chinese medicines in treating melancholia based on data mining technology] VL - 40 ID - 126 ER - TY - JOUR AB - The first step towards efficient social media content analysis is to understand it and identify means of user interaction. Trying to study the problem from the user perspective, we analyze user-generated photos uploaded to famous Flickr social network, in order to extract meaningful semantic trends covering specific research aspects, like content popularity, spatial areas of interest and popular events. Initially, we select a geographical area of social interest, like a city center, defined by a strict bounding box. We then cluster photos taken within the box based on their geo-tagging metadata information (i.e., their latitude and longitude information) and divide large areas into smaller groups of fixed size, which we will refer to as geo-clusters. Within these geo-clusters, we further identify semantically meaningful places of user interest, by analyzing any additional textual metadata available, i.e., user selected tags that characterize each place's photos. By post-processing the latter, we are then able to rank them and thus select the most appropriate tags that describe landmarks and other places of interest, as well as events occurring within these places of interest. As a next step, we place these tags on a map and help users to intuitively visualize places of interest and the actual photo content at a glance. Finally, we examine the temporal dynamics of analyzed photos over a long period of time, so as to obtain the underlying trends to be identified within this kind of social media generated content. [All rights reserved Elsevier]. AU - Spyrou, E. AU - Mylonas, P. DA - 2016/01/08/ DO - 10.1016/j.neucom.2014.12.104 J2 - Neurocomputing KW - data analysis file organisation information retrieval meta data pattern clustering Social networking (online) PY - 2016 SN - 0925-2312 SP - 114-33 ST - Analyzing Flickr metadata to extract location-based information and semantically organize its photo content T2 - Neurocomputing TI - Analyzing Flickr metadata to extract location-based information and semantically organize its photo content UR - http://dx.doi.org/10.1016/j.neucom.2014.12.104 VL - 172 ID - 819 ER - TY - JOUR AB - BACKGROUND: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and algorithms are published continuously, mostly conventional methods like hierarchical clustering algorithms or variance analysis tools are used. Here we take a closer look at independent component analysis (ICA) which is already discussed widely as a new analysis approach. However, deep exploration of its applicability and relevance to concrete biological problems is still missing. In this study, we investigate the relevance of ICA in gaining new insights into well characterized regulatory mechanisms of M-CSF dependent macrophage differentiation. RESULTS: Statistically independent gene expression modes (GEM) were extracted from observed gene expression signatures (GES) through ICA of different microarray experiments. From each GEM we deduced a group of genes, henceforth called sub-mode. These sub-modes were further analyzed with different database query and literature mining tools and then combined to form so called meta-modes. With them we performed a knowledge-based pathway analysis and reconstructed a well known signal cascade. CONCLUSION: We show that ICA is an appropriate tool to uncover underlying biological mechanisms from microarray data. Most of the well known pathways of M-CSF dependent monocyte to macrophage differentiation can be identified by this unsupervised microarray data analysis. Moreover, recent research results like the involvement of proliferation associated cellular mechanisms during macrophage differentiation can be corroborated. AU - Lutter, Dominik AU - Ugocsai, Peter AU - Grandl, Margot AU - Orso, Evelyn AU - Theis, Fabian AU - Lang, Elmar W. AU - Schmitz, Gerd DA - 2008 DO - 10.1186/1471-2105-9-100 J2 - BMC Bioinformatics KW - Cell Differentiation Cytokines/*metabolism Gene Expression Profiling/*methods Macrophage Colony-Stimulating Factor/*metabolism Macrophages/*cytology/*metabolism Meta-Analysis as Topic Monocytes/*cytology/*metabolism Oligonucleotide Array Sequence Analysis/*methods Principal Component Analysis Signal Transduction/physiology LA - eng PY - 2008 SN - 1471-2105 1471-2105 SP - 100 ST - Analyzing M-CSF dependent monocyte/macrophage differentiation: expression modes and meta-modes derived from an independent component analysis T2 - BMC bioinformatics TI - Analyzing M-CSF dependent monocyte/macrophage differentiation: expression modes and meta-modes derived from an independent component analysis VL - 9 ID - 155 ER - TY - BOOK A3 - Graham, P. A2 - Maheswaran, M. A2 - Eskicioglu, R. AB - The goal of the WebOntEx (Web Ontology Extraction) project is to extract Web ontologies semiautomatically by analyzing Web pages that are in the same application domain. The ontology is considered as a complete schema of the application domain concepts as they are used in the analyzed Web pages. The concepts are classified into entity types, relationships, attributes, and superclass/subclass hierarchies and stored in a relational database to allow them to evolve over time. This paper describes the WebOntEx project, and its architecture and main component module. We utilize machine-learning techniques, in particular inductive logic programming, in the WebOntEx Heuristic Analyzer module. The extracted ontologies can be used in various important applications, such as understanding Web information content, querying Web meta-data, more intelligent Web searching, and conversion of HTML Web pages to other formats, such as XML. AU - Han, H. AU - Elmasri, R. DA - 2001 PY - 2001 SN - 1-892512-84-X ST - Analyzing semi-structured data for ontological information extraction TI - Analyzing semi-structured data for ontological information extraction ID - 2065 ER - TY - JOUR AU - Jelier, Rob AU - Schuemie, Martijn J. AU - Veldhoven, Antoine AU - Dorssers, Lambert C. J. AU - Jenster, Guido AU - Kors, Jan A. DA - 2008 DP - Google Scholar IS - 6 L1 - internal-pdf://1704841123/Jelier-2008-Anni 2.0_ a multipurpose text-mini.pdf PY - 2008 SP - 1 ST - Anni 2.0 T2 - Genome biology TI - Anni 2.0: a multipurpose text-mining tool for the life sciences UR - https://genomebiology.biomedcentral.com/articles/10.1186/gb-2008-9-6-r96 https://www-ncbi-nlm-nih-gov.ezproxy.lib.vt.edu/pmc/articles/PMC2481428/pdf/gb-2008-9-6-r96.pdf VL - 9 Y2 - 2016/09/24/15:37:02 ID - 2355 ER - TY - CONF AB - In this paper, we focus on the managing of multimedia document and more precisely on the annotation and the generation of adaptable multimedia documents. Our solution is directed towards analysing the ways to "bridge the gap" between physical and semantic levels, for multimedia document modelling and querying. Our goal is to describe how to model and unify features elicited from content and structure mining. These descriptors are built from the various features elicited from the multimedia documents using available processing techniques. The personalization enables dynamic re-structuring and reconstruction of hypermedia documents answering to the user queries. However, more factors should be considered in handling hypermedia documents. Once queried, documents can be adapted by using an indexing scheme, which exploits multiple structures. We can process queries efficiently with minimal storage overhead. We suggest for that, the adaptation of multimedia document content with user needs and preferences. This approach is based on the OOHDM methodology extension with the use of the metadata. AU - Jedidi, A. AU - Amous, I. AU - Sedes, F. C3 - Advanced Internet Based Systems and Applications. Second International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2006, 17-21 Dec. 2006 DA - 2009 DO - 10.1007/978-3-642-01350-8_6 KW - data mining document handling hypermedia indexing meta data query processing PB - Springer-Verlag PY - 2009 SP - 56-66 ST - Annotate, query and design multimedia documents by metadata T3 - Advanced Internet Based Systems and Applications. Second International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2006. Revised Selected Papers TI - Annotate, query and design multimedia documents by metadata UR - http://dx.doi.org/10.1007/978-3-642-01350-8_6 ID - 1079 ER - TY - CONF AB - Recent initiatives like the Million Book Project and Google Print Library Project have already archived several million books in digital format, and within a few years a significant fraction of world's books will be online. While the majority of the data will naturally be text, there will also be tens of millions of pages of images. Many of these images will defy automation annotation for the foreseeable future, but a considerable fraction of the images may be amiable to automatic annotation by algorithms that can link the historical image with a modern contemporary, with its attendant metatags. In order to perform this linking we must have a suitable distance measure which appropriately combines the relevant features of shape, color, texture and text. However the best combination of these features will vary from application to application and even from one manuscript to another. In this work we propose a simple technique to learn the distance measure by perturbing the training set in a principled way. We show the utility of our ideas on archives of manuscripts containing images from natural history and cultural artifacts. Copyright 2008 ACM. AU - Wang, Xiaoyue AU - Ye, Lexiang AU - Keogh, Eamonn AU - Shelton, Christian C3 - 8th ACM/IEEE-CS Joint Conference on Digital Libraries 2008, JCDL'08, June 16, 2008 - June 20, 2008 DA - 2008 DO - 10.1145/1378889.1378948 KW - Digital Libraries Image analysis Information analysis Libraries N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2008 SP - 341-350 ST - Annotating historical archives of images T3 - Proceedings of the ACM International Conference on Digital Libraries TI - Annotating historical archives of images UR - http://dx.doi.org/10.1145/1378889.1378948 ID - 847 ER - TY - CONF AB - We present a tool which analyzes annotations on a document to infer collective sentiments of annotators. Annotations may include comments, notes, observation, explanation or question, help etc. Comments are used for evaluative purpose where as others are used either for summarization or for expansion. Further, these comments may be on another annotation, not on the original document and referred as meta-annotations. Collective sentiments of annotators are classified as positive, negative or neutral based on sentiments of words found in annotations. All annotations may not get equal weightage. If an annotation has higher number of meta-annotations on it, it is assigned higher weight. If a comment is on another annotation and negates the sentiments of previous annotator, then the weightage of that annotation is either reduced or annotation is excluded from inference. Our tool computes collective sentiments of annotators in two steps. In first step, it computes sentiment scores of all annotations. In second steps, it computes weighted average of sentiment scores of annotation to obtain the collective sentiments. We demonstrate the use of tool on research papers. 2011 Springer-Verlag. AU - Shukla, Archana AU - Chaudhary, B. D. C3 - 3rd International Conference on Networks and Communications, NeCoM 2011, the 3rd International Conference on Web and Semantic Technology, WeST 2011, and the 3rd International Conference on Wireless and Mobile Networks, WiMoN 2011, July 15, 2011 - July 17, 2011 DA - 2011 DO - 10.1007/978-3-642-22543-7_59 KW - Semantics Semantic Web User interfaces N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2011 SN - 18650929 SP - 575-584 ST - Annotation based collective opinion analysis T3 - Communications in Computer and Information Science TI - Annotation based collective opinion analysis UR - http://dx.doi.org/10.1007/978-3-642-22543-7_59 VL - 197 CCIS ID - 1063 ER - TY - CONF AB - This paper deals with an annotation-based decisional system. The decisional system we present is based on multidimensional databases, which are composed of facts and dimensions. The expertise of decision-makers is modelled, shared and stored through annotations. These annotations allow decision-makers to make an active reading and to collaborate with other decision-makers about a common analysis project. AU - Cabanac, G. AU - Chevalier, M. AU - Ravat, F. AU - Teste, O. C3 - Data Warehousing and Knowledge Discovery. 9th International Conference, DaWaK 2007, 3-7 Sept. 2007 DA - 2007/09// KW - data mining decision making meta data relational databases PB - Springer-Verlag PY - 2007 SP - 89-98 ST - An annotation management system for multidimensional databases T3 - Data Warehousing and Knowledge Discovery. Proceedings 9th International Conference, DaWaK 2007. (Lecture Notes in Computer Science vol. 4654) TI - An annotation management system for multidimensional databases ID - 1330 ER - TY - JOUR AB - BACKGROUND: Use of alternative gene promoters that drive widespread cell-type, tissue-type or developmental gene regulation in mammalian genomes is a common phenomenon. Chromatin immunoprecipitation methods coupled with DNA microarray (ChIP-chip) or massive parallel sequencing (ChIP-seq) are enabling genome-wide identification of active promoters in different cellular conditions using antibodies against Pol-II. However, these methods produce enrichment not only near the gene promoters but also inside the genes and other genomic regions due to the non-specificity of the antibodies used in ChIP. Further, the use of these methods is limited by their high cost and strong dependence on cellular type and context. METHODS: We trained and tested different state-of-art ensemble and meta classification methods for identification of Pol-II enriched promoter and Pol-II enriched non-promoter sequences, each of length 500 bp. The classification models were trained and tested on a bench-mark dataset, using a set of 39 different feature variables that are based on chromatin modification signatures and various DNA sequence features. The best performing model was applied on seven published ChIP-seq Pol-II datasets to provide genome wide annotation of mouse gene promoters. RESULTS: We present a novel algorithm based on supervised learning methods to discriminate promoter associated Pol-II enrichment from enrichment elsewhere in the genome in ChIP-chip/seq profiles. We accumulated a dataset of 11,773 promoter and 46,167 non-promoter sequences, each of length 500 bp, generated from RNA Pol-II ChIP-seq data of five tissues (Brain, Kidney, Liver, Lung and Spleen). We evaluated the classification models in building the best predictor and found that Bagging and Random Forest based approaches give the best accuracy. We implemented the algorithm on seven different published ChIP-seq datasets to provide a comprehensive set of promoter annotations for both protein-coding and non-coding genes in the mouse genome. The resulting annotations contain 13,413 (4,747) protein-coding (non-coding) genes with single promoters and 9,929 (1,858) protein-coding (non-coding) genes with two or more alternative promoters, and a significant number of unassigned novel promoters. CONCLUSION: Our new algorithm can successfully predict the promoters from the genome wide profile of Pol-II bound regions. In addition, our algorithm performs significantly better than existing promoter prediction methods and can be applied for genome-wide predictions of Pol-II promoters. AU - Gupta, Ravi AU - Wikramasinghe, Priyankara AU - Bhattacharyya, Anirban AU - Perez, Francisco A. AU - Pal, Sharmistha AU - Davuluri, Ramana V. DA - 2010 DO - 10.1186/1471-2105-11-S1-S65 J2 - BMC Bioinformatics KW - Algorithms Chromatin Immunoprecipitation/*methods Data Mining/*methods DNA Polymerase II/*metabolism Genomics Oligonucleotide Array Sequence Analysis/*methods Promoter Regions, Genetic L1 - internal-pdf://3343433834/Gupta-2010-Annotation of gene promoters by int.pdf LA - eng PY - 2010 SN - 1471-2105 1471-2105 SP - S65 ST - Annotation of gene promoters by integrative data-mining of ChIP-seq Pol-II enrichment data T2 - BMC bioinformatics TI - Annotation of gene promoters by integrative data-mining of ChIP-seq Pol-II enrichment data UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3009539/pdf/1471-2105-11-S1-S65.pdf VL - 11 Suppl 1 ID - 383 ER - TY - JOUR AB - BACKGROUND: Within the past decade, health care service and research priorities have shifted from evidence-based medicine to personalized medicine. In mental health care, a similar shift to personalized intervention may boost the effectiveness and clinical utility of empirically supported therapies (ESTs). The emerging science of personalized intervention will need to encompass evidence-based methods for determining which problems to target and in which order, selecting treatments and deciding whether and how to combine them, and informing ongoing clinical decision-making through monitoring of treatment response throughout episodes of care. We review efforts to develop these methods, drawing primarily from psychotherapy research with youths. Then we propose strategies for building a science of personalized intervention in youth mental health. FINDINGS: The growing evidence base for personalizing interventions includes research on therapies adapted for specific subgroups; treatments targeting youths' environments; modular therapies; sequential, multiple assignment, randomized trials; measurement feedback systems; meta-analyses comparing treatments for specific patient characteristics; data-mining decision trees; and individualized metrics. CONCLUSION: The science of personalized intervention presents questions that can be addressed in several ways. First, to evaluate and organize personalized interventions, we propose modifying the system used to evaluate and organize ESTs. Second, to help personalizing research keep pace with practice needs, we propose exploiting existing randomized trial data to inform personalizing approaches, prioritizing the personalizing approaches likely to have the greatest impact, conducting more idiographic research, and studying tailoring strategies in usual care. Third, to encourage clinicians' use of personalized intervention research to inform their practice, we propose expanding outlets for research summaries and case studies, developing heuristic frameworks that incorporate personalizing approaches into practice, and integrating personalizing approaches into service delivery systems. Finally, to build a richer understanding of how and why treatments work for particular individuals, we propose accelerating research to identify mediators within and across RCTs, to isolate mechanisms of change, and to inform the shift from diagnoses to psychopathological processes. This ambitious agenda for personalized intervention science, although challenging, could markedly alter the nature of mental health care and the benefit provided to youths and families. AU - Ng, Mei Yi AU - Weisz, John R. DA - 2016/03//undefined DO - 10.1111/jcpp.12470 IS - 3 J2 - J Child Psychol Psychiatry KW - adolescents Children personalized intervention psychotherapy tailoring treatments LA - eng PY - 2016 SN - 1469-7610 0021-9630 SP - 216-236 ST - Annual Research Review: Building a science of personalized intervention for youth mental health T2 - Journal of child psychology and psychiatry, and allied disciplines TI - Annual Research Review: Building a science of personalized intervention for youth mental health VL - 57 ID - 153 ER - TY - JOUR AB - BACKGROUND: To date, research on mental health in HIV-affected children (children who have an HIV-positive caregiver or live with the virus themselves) has focused on risk factors associated with the disease. However, simultaneous identification of factors that contribute to resilience in the face of risks is also needed. A greater understanding of modifiable protective processes that contribute to resilience in the mental health of children affected by HIV can inform the design of interventions that bolster naturally occurring supports and contribute to early prevention or better management of risks. METHODS: We reviewed the recent literature on mental health and resilience in children and adolescents affected by HIV/AIDS. Literature searches of PsycInfo and PubMed were conducted during July-December 2011 consistent with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards. Qualitative and quantitative studies were included for review if primary research questions pertained to mental health and coping or protective processes in children and families affected by HIV/AIDS. All studies subject to full review were evaluated for quality using a modified Systematic Assessment of Quality in Observational Research (SAQOR) rating system. RESULTS: One hundred and seventy one unique studies were returned from online searches of the literature and bibliography mining. Of these, 29 were evaluated as pertaining directly to mental health and resilience in families and children living with HIV/AIDS. Eight studies presented qualitative analyses. Ten quantitative studies examined individual resources contributing to child resilience and four quantitative studies looked at family-level resources. Ten studies also investigated community level interactions. Four presented findings from resilience-focused interventions. CONCLUSIONS: There is a clear need for rigorous research on mental health and resilience in HIV-affected children and adolescents. The evidence base would greatly benefit from more standardized and robust approaches to thinking about resilience from an ecological perspective inclusive of resources at multiple levels and their interactions. AU - Betancourt, Theresa S. AU - Meyers-Ohki, Sarah E. AU - Charrow, Alexandra AU - Hansen, Nathan DA - 2013/04//undefined DO - 10.1111/j.1469-7610.2012.02613.x IS - 4 J2 - J Child Psychol Psychiatry KW - *Resilience, Psychological Acquired Immunodeficiency Syndrome/diagnosis/*psychology Adolescent Child Family Relations HIV Infections/diagnosis/*psychology/therapy/transmission Humans Mental Disorders/diagnosis/*psychology/therapy Motivation Prognosis Research Self Concept Social Environment Social Support L1 - internal-pdf://0995706887/Betancourt-2013-Annual Research Review_ Mental.pdf LA - eng PY - 2013 SN - 1469-7610 0021-9630 SP - 423-444 ST - Annual Research Review: Mental health and resilience in HIV/AIDS-affected children-- a review of the literature and recommendations for future research T2 - Journal of child psychology and psychiatry, and allied disciplines TI - Annual Research Review: Mental health and resilience in HIV/AIDS-affected children-- a review of the literature and recommendations for future research UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3656822/pdf/nihms398459.pdf VL - 54 ID - 168 ER - TY - CONF AB - Anomaly extraction is an important problem essential to several applications ranging from root cause analysis, to attack mitigation, and testing anomaly detectors. Anomaly extraction is preceded by an anomaly detection step, which detects anomalous events and may identify a large set of possible associated event flows. The goal of anomaly extraction is to find and summarize the set of flows that are effectively caused by the anomalous event. In this work, we use meta-data provided by several histogram-based detectors to identify suspicious flows and then apply association rule mining to find and summarize the event flows. Using rich traffic data from a backbone network (SWITCH/AS559), we show that we can reduce the classification cost, in terms of items (flows or rules) that need to be classified, by several orders of magnitude. Further, we show that our techniques effectively isolate event flows in all analyzed cases and that on average trigger between 2 and 8.5 false positives, which can be trivially sorted out by an administrator. Copyright 2009 ACM. AU - Brauckhoff, Daniela AU - Dimitropoulos, Xenofontas AU - Wagner, Arno AU - Salamatian, Kave C3 - 2009 9th ACM SIGCOMM Internet Measurement Conference, IMC 2009, November 4, 2009 - November 6, 2009 DA - 2009 DO - 10.1145/1644893.1644897 KW - Association rules Extraction Genetic engineering Graphic methods N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2009 SP - 28-34 ST - Anomaly extraction in backbone networks using association rules T3 - Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC TI - Anomaly extraction in backbone networks using association rules UR - http://dx.doi.org/10.1145/1644893.1644897 http://dl.acm.org/citation.cfm?doid=1644893.1644897 ID - 661 ER - TY - CONF AB - The proposed work presented a modified MAX-MIN Ant System (MMAS) algorithm to solve the routing problem, in which known demand are supplied from a store house with parallel routes for new local search. Routing Problem is an optimization problem and solved to nearly optimum by heuristics. The objective of routing issues is to use a fleet of vehicles with specified capacity to serve a number of users with dissimilar demands at minimum cost, without violating the capacity and route length constraints. Many meta-heuristic approaches like Simulated Annealing (SA), Tabu Search (TS) and An Improved Ant Colony System (IACS) algorithm are compared for the performance result analysis. The well-founded theory of fuzzy sets is a special way to model the uncertainty. The rules in a fuzzy model contain a set of propositions, each of which restricts a fuzzy variable to a single fuzzy value by means of the predicate equivalency. That way, each rule covers a single fuzzy region of the fuzzy grid. The proposed system of this thesis extends this structure to provide more general fuzzy rules, covering the input space as much as possible. In order to do this, new predicates are considered and a Max-Min Ant System is proposed to learn such fuzzy rules. AU - Sankar, K. AU - Krishnamoorthy, K. C3 - 2010 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC 2010), 28-29 Dec. 2010 DA - 2010 DO - 10.1109/ICCIC.2010.5705867 KW - fuzzy set theory optimisation search problems transportation PB - IEEE PY - 2010 SP - 8-pp. ST - Ant Colony algorithm for routing problem using rule-mining T3 - 2010 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC 2010) TI - Ant Colony algorithm for routing problem using rule-mining UR - http://dx.doi.org/10.1109/ICCIC.2010.5705867 ID - 1054 ER - TY - JOUR AB - Bayesian Multi-nets (BMNs) are a special kind of Bayesian network (BN) classifiers that consist of several local Bayesian networks, one for each predictable class, to model an asymmetric set of variable dependencies given each class value. Deterministic methods using greedy local search are the most frequently used methods for learning the structure of BMNs based on optimizing a scoring function. Ant Colony Optimization (ACO) is a meta-heuristic global search method for solving combinatorial optimization problems, inspired by the behavior of real ant colonies. In this paper, we propose two novel ACO-based algorithms with two different approaches to build BMN classifiers: ABC-Minerlmn and ABC-Minergmn. The former uses a local learning approach, in which the ACO algorithm completes the construction of one local BN at a time. The latter uses a global approach, which involves building a complete BMN classifier by each single ant in the colony. We experimentally evaluate the performance of our ant-based algorithms on 33 benchmark classification datasets, where our proposed algorithms are shown to be significantly better than other commonly used deterministic algorithms for learning various Bayesian classifiers in the literature, as well as competitive to other well-known classification algorithms. AU - Salama, K. M. AU - Freitas, A. A. DA - 2015 DO - 10.3233/IDA-150715 IS - 2 J2 - Intelligent Data Analysis KW - ant colony optimisation Bayes methods data mining greedy algorithms Heuristic programming learning (artificial intelligence) pattern classification search problems PY - 2015 SN - 1088-467X SP - 233-57 ST - Ant colony algorithms for constructing Bayesian multi-net classifiers T2 - Intelligent Data Analysis TI - Ant colony algorithms for constructing Bayesian multi-net classifiers UR - http://dx.doi.org/10.3233/IDA-150715 VL - 19 ID - 1059 ER - TY - CONF AB - Community detection is an important task in social network analysis. It aims to partition the network into clusters so that interactions among members within a cluster are considerably more frequent than that across clusters. A typical instantiation is to maximize the modularity of clusters which is a NP-hard problem, and thus, heuristic and meta-heuristic algorithms are employed as approximation. We present a novel divisive algorithm based on ant colony optimization to detect hierarchical community structure by maximizing the modularity. Our algorithm splits the network into two local communities iteratively and incorporates both heuristic information and pheromone trails. Experimental results on a set of synthetic benchmarks and real-world networks verified that our algorithm is highly effective for hierarchical community structure detection. AU - Javadi, S. H. S. AU - Khadivi, S. AU - Shiri, M. E. AU - Jia, Xu C3 - 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), 17-20 Aug. 2014 DA - 2014 DO - 10.1109/ASONAM.2014.6921583 KW - ant colony optimisation Computational complexity pattern clustering Social networking (online) PB - IEEE PY - 2014 SP - 200-3 ST - An ant colony optimization method to detect communities in social networks T3 - 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) TI - An ant colony optimization method to detect communities in social networks UR - http://dx.doi.org/10.1109/ASONAM.2014.6921583 ID - 818 ER - TY - JOUR AB - A data mining study that examined associations between 105 drugs and 55 cancer sites found significant associations between 2 selective serotonin reuptake inhibitors (fluoxetine and paroxetine) and testicular cancer. The study suggested several reasons why these associations merited further investigation. A later study tested specific relationships between 12 antidepressant drugs and testicular cancer and subtypes thereof; whereas significant relationships were again found, these disappeared after adjusting for confounding variables. These 2 studies are educative because they illustrate how false-positive results can easily arise in exploratory research and how confounding may be responsible for statistically significant relationships in study designs that are not randomized controlled trials. AU - Andrade, Chittaranjan DA - 2014/03//undefined DO - 10.4088/JCP.14f09056 IS - 3 J2 - J Clin Psychiatry KW - *Data Interpretation, Statistical *Meta-Analysis as Topic Adult Data Mining/*standards Fluoxetine/adverse effects Humans Male Paroxetine/adverse effects Research Design/*standards Serotonin Uptake Inhibitors/adverse effects Testicular Neoplasms/chemically induced L1 - internal-pdf://3617318129/Andrade-2014-Antidepressants and testicular ca.pdf LA - eng PY - 2014 SN - 1555-2101 0160-6689 SP - e198-200 ST - Antidepressants and testicular cancer: cause versus association T2 - The Journal of clinical psychiatry TI - Antidepressants and testicular cancer: cause versus association UR - http://www.psychiatrist.com/JCP/article/_layouts/ppp.psych.controls/BinaryViewer.ashx?Article=/jcp/article/pages/2014/v75n03/v75n0303.aspx&Type=Article VL - 75 ID - 38 ER - TY - JOUR AU - Coulter, David M. AU - Bate, Andrew AU - Meyboom, Ronald H. B. AU - Lindquist, Marie AU - Edwards, I. Ralph DA - 2001 DP - Google Scholar IS - 7296 L1 - https://www.researchgate.net/profile/David_Coulter/publication/11978873_Antipsychotic_drugs_and_heart_muscle_disorder_in_international_pharmacovigilance_Data_Mining_Study/links/0c9605197323d4a4ff000000.pdf internal-pdf://3416883994/Coulter-2001-Antipsychotic drugs and heart mus.pdf PY - 2001 SP - 1207-1209 ST - Antipsychotic drugs and heart muscle disorder in international pharmacovigilance T2 - Bmj TI - Antipsychotic drugs and heart muscle disorder in international pharmacovigilance: data mining study UR - http://www.bmj.com/content/322/7296/1207?goto=reply https://www.ncbi.nlm.nih.gov/pmc/articles/PMC31617/pdf/1207.pdf VL - 322 Y2 - 2016/09/24/16:07:04 ID - 2429 ER - TY - JOUR AB - Medical data mining has recently become one of the most popular topics in the data mining community. This is due to the societal importance of the field and also the particular computational challenges posed in this domain of data mining. However, current medical data mining approaches oftentimes use identical costs or just ignore them for the different cases of classification errors. Thus, their outcome may be unexpected. This paper applies a new meta-heuristic approach, called the Homogeneity-Based Algorithm (or HBA), for optimizing the classification accuracy when analyzing some medical datasets. The HBA first expresses the objective as an optimization problem in terms of the error rates and the associated penalty costs. These costs may be dramatically different in medical applications as the implications of having a false-positive and a false-negative case may be tremendously different. When the HBA is combined with traditional classification algorithms, it enhances their prediction accuracy. It does so by using the concept of homogenous sets. Five medical datasets, obtained from the machine learning data repository at the University of California, Irvine (UCI), USA, were tested. Some Computational results indicate that the HBA, when it is combined with traditional methods, can significantly outperform current Stand-alone data mining approaches. (C) 2008 Elsevier Ltd. All rights reserved. AU - Pham, Huy Nguyen Anh AU - Triantaphyllou, Evanaelos DA - 2009/07// DO - 10.1016/j.eswa.2008.12.007 IS - 5 PY - 2009 SN - 0957-4174 SP - 9240-9249 ST - An application of a new meta-heuristic for optimizing the classification accuracy when analyzing some medical datasets T2 - Expert Systems with Applications TI - An application of a new meta-heuristic for optimizing the classification accuracy when analyzing some medical datasets VL - 36 ID - 1994 ER - TY - JOUR AB - Wastewater from various types of industries such as synthetic resins, plywood industries, paper and pulp, gas and coke oven plants, paints, coal gas, tanning, textile, plastic, rubber, pharmaceutical, petroleum and mine discharges, contain different types of phenols. Phenolic compounds are toxic substances and some are known or suspected carcinogens. Therefore it is important to remove phenol and phenolic compounds from contaminated industrial aqueous streams before discharged into any water bodies. Adsorption of phenol and its derivatives from aqueous solution by activated carbon is one of the most investigated of all liquid phase applications of carbon adsorbents. Several adsorbents have been used for treatment of wastewater and removal of phenolic compounds. Literature contains various adsorption processes and adsorbents such as pistachio nut shell ash, Moringa peregrina tree shell ash, agricultural fibers, red mud, low cost clay, olive mill waste, natural zeolites, rubber seed coat, peat, fly ash, bentonite and. which have been used for the removal of phenol and its derivatives. Any of chemical, biological and physical treatment processes has its own advantages and disadvantages. It is worth mentioning that economic aspects of these processes are important, for example biosorption were found to be effective methods with scope for further research in this field in terms of cost effectiveness and regeneration. At present study various adsorbents used by the authors of this article and other researchers for phenol and its derivatives from aqueous environments have been reported and summarized. Additionally, more research is needed to find the practical utility of low-cost adsorbents on commercial scale. AU - Bazrafshan, E. AU - Amirian, P. AU - Mahvi, A. H. AU - Ansari-Moghaddam, A. DA - 2016 IS - 1 L1 - internal-pdf://2706896572/Bazrafshan-2016-APPLICATION OF ADSORPTION PROC.pdf PY - 2016 SN - 1790-7632 SP - 146-163 ST - APPLICATION OF ADSORPTION PROCESS FOR PHENOLIC COMPOUNDS REMOVAL FROM AQUEOUS ENVIRONMENTS: A SYSTEMATIC REVIEW T2 - Global Nest Journal TI - APPLICATION OF ADSORPTION PROCESS FOR PHENOLIC COMPOUNDS REMOVAL FROM AQUEOUS ENVIRONMENTS: A SYSTEMATIC REVIEW VL - 18 ID - 2231 ER - TY - CONF AB - Bayesian networks are powerful in data mining and analyzing causal relationships of an uncertain-reasoning problem. The implementation of Bayesian networks in industry and healthcare diagnosis can facilitate the process of locating causations in complex issues. This study conducted two case studies by BayesiaLab in consumer service and healthcare domain. Case Study One used unsupervised learning and supervised learning on the individual data set of county road traffic volume in Indiana State and concluded that road type has the most significant impact on daily vehicle miles traveled. In Case Study Two, only supervised learning was used to observe the aggregated data of adverse mental health effect on civilians, deployed veterans and nondeployed veterans of different genders. Both types of veterans showed higher probability to have adverse mental health compared to civilians. In conclusion, Bayesian networks provided valid results to support prior research. Further research is needed to investigate the differences between using individual data and aggregated data, and to apply Bayesian networks in meta-analysis. 2014 Springer International Publishing Switzerland. AU - Zhang, Le AU - Gao, Yuan AU - Bidassie, Balmatee AU - Duffy, Vincent G. C3 - 5th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014, June 22, 2014 - June 27, 2014 DA - 2014 DO - 10.1007/978-3-319-07725-3_48 KW - Aggregates Bayesian networks Ergonomics Health Health care Research Risk management Supervised learning N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2014 SN - 03029743 SP - 484-495 ST - Application of Bayesian networks in consumer service industry and healthcare T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Application of Bayesian networks in consumer service industry and healthcare UR - http://dx.doi.org/10.1007/978-3-319-07725-3_48 VL - 8529 LNCS ID - 793 ER - TY - BOOK A3 - Zazueta, F. A2 - Xin, J. AB - Data mining is the non-trivial extraction of implicit knowledge in databases which aims to retrieve useful and new information in a high level of abstraction. The advent of Precision Farming generates databases which, because of their size and complexity, are not efficiently analyzed by traditional methods. The present work aims to test if Data Mining routines are capable to determine the behavior of the yield of a crop as a function of physical-chemical soil properties, in order to allow correction of low yield. Databases were used as object of work, where yield is the meta-attribute and the physical-chemical soil properties are the predictive attributes, obtained through data acquisition on field, in areas of 400 m2. The meta-attribute was obtained by way of a yield map generated by precision agriculture equipment. The data set, with 2388 records were mined using the Decision Tree technique and all values were discerned into two levels. As result, rules were generated-finite sets of pairs attribute-value-describing models relating yield and physical-chemical soil properties. The confidence of rules was evaluated automatically, making possible the selection of the most qualified ones. By the analysis of the rules by human experts, it was determined that is possible to use the models to determine the behavior of the yield of a crop as a function of physical-chemical soil properties. The developed tool is still without processing acceleration techniques and without techniques of refinement of quality of discovery knowledge, what recalls expectations that the results can be quite improved. AU - Canteri, M. G. AU - Avila, B. C. AU - dos Santos, E. L. AU - Sanches, M. K. AU - Kovalechyn, D. AU - Molin, J. P. AU - Gimenez, L. M. DA - 2001 PY - 2001 SN - 1-892769-22-0 ST - Application of data mining in automatic description of yield behavior in agricultural areas TI - Application of data mining in automatic description of yield behavior in agricultural areas ID - 2043 ER - TY - JOUR AU - Ngai, E. W. T. AU - Hu, Yong AU - Wong, Y. H. AU - Chen, Yijun AU - Sun, Xin DA - 2011 DP - Google Scholar IS - 3 PY - 2011 SP - 559-569 ST - The application of data mining techniques in financial fraud detection T2 - Decision Support Systems TI - The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature UR - http://www.sciencedirect.com/science/article/pii/S0167923610001302 VL - 50 Y2 - 2016/09/24/15:32:42 ID - 2313 ER - TY - JOUR AU - Chai, Junyi AU - Liu, James N. K. AU - Ngai, Eric W. T. DA - 2013 DP - Google Scholar IS - 10 L1 - internal-pdf://1708302647/Chai-2013-Application of decision-making techn.pdf PY - 2013 SP - 3872-3885 ST - Application of decision-making techniques in supplier selection T2 - Expert Systems with Applications TI - Application of decision-making techniques in supplier selection: A systematic review of literature UR - http://www.sciencedirect.com/science/article/pii/S095741741201281X http://ac.els-cdn.com.ezproxy.lib.vt.edu/S095741741201281X/1-s2.0-S095741741201281X-main.pdf?_tid=1ef4d526-8330-11e6-a140-00000aab0f02&acdnat=1474815518_71f51f39d825f919071a80bc280ec84b VL - 40 Y2 - 2016/09/24/16:04:32 ID - 2416 ER - TY - CONF AB - The increasing number of people affected by Neurodegenerative diseases and the improvement of brain imaging diagnostic techniques are bringing to a massive production of brain images that need demanding preprocessing and analysis algorithms. We analyzed volumetric measures of critical brain areas by using different Data Mining methods. Structural magnetic resonance images, generated in our university, were preprocessed using a fully automated segmentation method and the extracted volumetric information was then analyzed by using different binary classifiers. We performed three binary classification experiments considering different data mining algorithms and neurological diseases. Naive Bayes outperformed all the others classifiers in two experiments, obtaining respectively 93.75% and 95.00% accuracy, while in the third experiment the best classifier was SVM but with a lower accuracy (58,56%). Afterwards, using the Stacking technique we combined the predictions from the best detected three models to build a meta-learner. Meta-learner classification results suggest that the application of the Stacking technique needs more experimentation and the test of additional stackers. AU - Sarica, A. AU - Critelli, C. AU - Guzzi, P. H. AU - Cerasa, A. AU - Quattrone, A. AU - Cannataro, M. C3 - 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS), 20-22 June 2013 DA - 2013 DO - 10.1109/CBMS.2013.6627832 KW - Bayes methods biomedical MRI Brain data mining image classification image segmentation medical image processing Neurophysiology Support Vector Machines PB - IEEE PY - 2013 SP - 425-8 ST - Application of different classification techniques on brain morphological data T3 - Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS) TI - Application of different classification techniques on brain morphological data UR - http://dx.doi.org/10.1109/CBMS.2013.6627832 ID - 1400 ER - TY - JOUR AB - The increasing number of people affected by Neurodegenerative diseases and the improvement of brain imaging diagnostic techniques are bringing to a massive production of brain images that need demanding preprocessing and analysis algorithms. We analyzed volumetric measures of critical brain areas by using different Data Mining methods. Structural magnetic resonance images, generated in our university, were preprocessed using a fully automated segmentation method and the extracted volumetric information was then analyzed by using different binary classifiers. We performed three binary classification experiments considering different data mining algorithms and neurological diseases. Naive Bayes outperformed all the others classifiers in two experiments, obtaining respectively 93.75% and 95.00% accuracy, while in the third experiment the best classifier was SVM but with a lower accuracy (58,56%). Afterwards, using the Stacking technique we combined the predictions from the best detected three models to build a meta-learner. Meta-learner classification results suggest that the application of the Stacking technique needs more experimentation and the test of additional stackers. AU - Sarica, Alessia AU - Critelli, Claudia AU - Guzzi, Pietro H. AU - Cerasa, Antonio AU - Quattrone, Aldo AU - Cannataro, Mario DA - 2013 PY - 2013 SP - 425-428 ST - Application of Different Classification Techniques on Brain Morphological Data T2 - 2013 Ieee 26th International Symposium on Computer-Based Medical Systems (cbms) TI - Application of Different Classification Techniques on Brain Morphological Data ID - 1987 ER - TY - JOUR AB - According to the structure characteristics of distributed database in customer service system of electric power enterprises,a parallel distributed data mining agents (PADMA) system based on software agent is introduced in the paper,and the access of local data as well as its analysis is completed by the software agent technology. A context based on meta-learning (CML) method and a further developed method for distributed data mining based on customer service system are both applied in solving the problem of heterogeneity existed in partial data of distributed database in customer service system. AU - Yang, Zi-rong AU - Chen, Jian-zhong AU - Wen, Jing-hua AU - Tian, Jian-qiang DA - 2007/08// IS - 4 J2 - Proceedings of the CSU-EPSA KW - data mining power engineering computing Software agents PY - 2007 SN - 1003-8930 SP - 23-7 ST - Application of distributed data mining techniques in customer system of electric power enterprises T2 - Proceedings of the CSU-EPSA TI - Application of distributed data mining techniques in customer system of electric power enterprises VL - 19 ID - 1715 ER - TY - JOUR AB - Since the release of the digital archives of Defense Meteorological Satellite Program Operational Line Scanner (DMSP/OLS) nighttime light data in 1992, a variety of datasets based on this database have been produced and applied to monitor and analyze human activities and natural phenomena. However, differences among these datasets and how they have been applied may potentially confuse researchers working with these data. In this paper, we review the ways in which data from DMSP/OLS nighttime light images have been applied over the past two decades, focusing on differences in data processing, research trends, and the methods used among the different application areas. Five main datasets extracted from this database have led to many studies in various research areas over the last 20 years, and each dataset has its own strengths and limitations. The number of publications based on this database and the diversity of authors and institutions involved have shown promising growth. In addition, researchers have accumulated vast experience retrieving data on the spatial and temporal dynamics of settlement, demographics, and socioeconomic parameters, which are "hotspot" applications in this field. Researchers continue to develop novel ways to extract more information from the DMSP/OLS database and apply the data to interdisciplinary research topics. We believe that DMSP/OLS nighttime light data will play an important role in monitoring and analyzing human activities and natural phenomena from space in the future, particularly over the long term. A transparent platform that encourages data sharing, communication, and discussion of extraction methods and synthesis activities will benefit researchers as well as public and political stakeholders. 2014 by the authors. AU - Huang, Qingxu AU - Yang, Xi AU - Gao, Bin AU - Yang, Yang AU - Zhao, Yuanyuan DA - 2014 DO - 10.3390/rs6086844 IS - 8 J2 - Remote Sensing KW - applications Database systems data mining Reviews L1 - internal-pdf://3811051759/Huang-2014-Application of DMSP_OLS nighttime l.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 20724292 SP - 6844-6866 ST - Application of DMSP/OLS nighttime light images: A meta-analysis and a systematic literature review T2 - Remote Sensing TI - Application of DMSP/OLS nighttime light images: A meta-analysis and a systematic literature review UR - http://dx.doi.org/10.3390/rs6086844 http://www.mdpi.com/2072-4292/6/8/6844/pdf VL - 6 ID - 1783 ER - TY - CONF AB - Contextual queries constitute a great challenge for information retrieval-the most approved techniques include scanning content of HTML web pages, user supported metadata analysis, automatic inference grounded on knowledge base, or content-oriented digital documents analysis. We propose a meta-heuristic by making use of Genetic Algorithms for Contextual Search (GACS) built on genetic programming (GP) to optimize contextual queries in exact search that represents unstructured phrases generated by the user. Our findings show that the queries built with GACS optimize the retrieval process significantly. AU - Huk, Maciej AU - Mizera-Pietraszko, Jolanta C3 - 6th International Conference on Applications of Digital Information and Web Technologies, ICADIWT 2015, February 12, 2015 DA - 2015 DO - 10.3233/978-1-61499-503-6-273 KW - Algorithms data mining Genetic algorithms Genetic programming Granular materials Heuristic algorithms Heuristic programming information retrieval Knowledge based systems Optimization Social networking (online) Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IOS Press PY - 2015 SN - 09226389 SP - 273-284 ST - Application of genetic algorithms to context-sensitive text mining T3 - Frontiers in Artificial Intelligence and Applications TI - Application of genetic algorithms to context-sensitive text mining UR - http://dx.doi.org/10.3233/978-1-61499-503-6-273 VL - 275 ID - 1393 ER - TY - BOOK A3 - Ao, S. I. A2 - Douglas, C. A2 - Grundfest, W. S. A2 - Burgstone, J. AB - The harmony search is considered as musician's behavior which is inspired by soft computing algorithm. As the musicians in improvisation process try to find the best harmony in terms of aesthetics, the decision variables in optimization process try to be the best vector in terms of objective function. Cluster analysis is one of attractive data mining technique that use in many fields. One popular class of data clustering algorithms is the center based clustering algorithm. K-means used as a popular clustering method due to its simplicity and high speed in clustering large datasets. However, k-means has two shortcomings: dependency on the initial state and convergence to local optima and global solutions of large problems cannot found with reasonable amount of computation effort. In order to overcome local optima problem lots of studies done in clustering. This paper describes a new clustering method based on the harmony search (HS) meta-heuristic algorithm, which was conceptualized using the musical process of searching for a perfect state of harmony. The HS algorithm does not require initial values and uses a random search instead of a gradient search, so derivative information is unnecessary. We compared proposed algorithm with other heuristics algorithms in clustering, such as GA, SA, TS, and ACO, by implementing them on several simulation and real datasets. The results indicate that the proposed clustering is a powerful clustering method suggesting higher degree of precision and robustness than the existing algorithms. AU - Amiri, Babak AU - Hossain, Liaquat AU - Mosavi, Seyyed Esmaeil DA - 2010 PY - 2010 SN - 978-988-17012-0-6 ST - Application of Harmony Search Algorithm on Clustering TI - Application of Harmony Search Algorithm on Clustering ID - 2087 ER - TY - JOUR AB - Cluster analysis is one of attractive data mining technique that use in many fields. One popular class of data clustering algorithms is the center based clustering algorithm. K-means used as a popular clustering method due to its simplicity and high speed in clustering large datasets. However, K-means has two shortcomings: dependency on the initial state and convergence to local optima and global solutions of large problems cannot found with reasonable amount of computation effort. In order to overcome local optima problem lots of studies done in clustering. Over the last decade, modeling the behavior of social insects, such as ants and bees, for the purpose of search and problem solving has been the context of the emerging area of swarm intelligence. Honey-bees are among the most closely studied social insects. Honey-bee mating may also be considered as a typical swarm-based approach to optimization, in which the search algorithm is inspired by the process of marriage in real honey-bee. Honey-bee has been used to model agent-based systems. In this paper, we proposed application of honeybee mating optimization in clustering (HBMK-means). We compared HBMK-means with other heuristics algorithm in clustering, such as GA, SA, TS, and ACO, by implementing them on several well-known datasets. Our finding shows that the proposed algorithm works than the best one. 2007 Elsevier Inc. All rights reserved. AU - Fathian, Mohammad AU - Amiri, Babak AU - Maroosi, Ali DA - 2007 DO - 10.1016/j.amc.2007.02.029 IS - 2 J2 - Applied Mathematics and Computation KW - Clustering algorithms Convergence of numerical methods data mining Heuristic algorithms Mathematical models Optimization Problem solving State estimation L1 - internal-pdf://2350034047/Fathian-2007-Application of honey-bee mating o.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2007 SN - 00963003 SP - 1502-1513 ST - Application of honey-bee mating optimization algorithm on clustering T2 - Applied Mathematics and Computation TI - Application of honey-bee mating optimization algorithm on clustering UR - http://dx.doi.org/10.1016/j.amc.2007.02.029 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0096300307001853/1-s2.0-S0096300307001853-main.pdf?_tid=890e52b8-8333-11e6-896b-00000aab0f02&acdnat=1474816984_3199fd16fb63d8bc19e9489231f14d34 VL - 190 ID - 1119 ER - TY - JOUR AB - The problem of effectiveness of the inverse algorithms used for identification of material model is investigated in the paper. Identification of flow stress models in metal forming processes is considered. This identification is usually performed by coupling the Finite element (FE) model with optimisation techniques which leads to long computing times. A proposition of application of the metamodel in the inverse analysis is presented in the paper. Metamodel is an alternative for the FE model. Artificial neural network was used as a metamodel of the axisymmetrical compression test. Experiments were performed on the Gleeble 3800 simulator for various materials and inverse calculations with the metamodel were performed. Validation of the results confirmed with higher degree of accuracy of the proposed approach. 2012 Canadian Institute of Mining, Metallurgy and Petroleum. AU - Sztangret AU - Szeliga, D. AU - Kusiak, J. AU - Pietrzyk, M. DA - 2012 DO - 10.1179/1879139512Y.0000000035 IS - 4 J2 - Canadian Metallurgical Quarterly KW - Compression testing inverse problems Neural networks Plastic flow Tool steel N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 00084433 SP - 440-446 ST - Application of inverse analysis with metamodelling for identification of metal flow stress T2 - Canadian Metallurgical Quarterly TI - Application of inverse analysis with metamodelling for identification of metal flow stress UR - http://dx.doi.org/10.1179/1879139512Y.0000000035 VL - 51 ID - 1066 ER - TY - CONF AB - One of the most important factors in bridge destruction is scour around piers of bridges. The scour depth evaluation around the bridge pier is very critical in bridge design. Although there are several empirical formulas to predict depth scour, these formulas usually have not had accurate results. Therefore, there has been an increase in use of soft computing tools such as neural networks (ANNs), fuzzy inference system (FIS) and adaptive network fuzzy inference system (ANFIS) for this purpose. Model trees are one of the prevailing data mining tools. In the present study, for prediction of scour depth, model trees (M5' algorithm) and regression trees (CART algorithm) with using experimental data of scour measurement in clear water condition were employed. Moreover, these models were used for two cases; the first one with original (dimensional) data and the second one with non-dimensional data and the results were compared with the results of six empirical formulas. The results showed that model and regression trees are more efficient than the empirical formulas to predict scour depth. AU - Mahjoobi, J. AU - Sabzianpoor, A. AU - Jabbari, E. C3 - Computing Anticipatory Systems: Casys'09: Ninth International Conference on Computing Anticipatory Systems, 3-8 Aug. 2009 DA - 2010 DO - 10.1063/1.3527177 KW - bridges (structures) data mining decision trees Regression Analysis structural engineering PB - American Institute of Physics PY - 2010 SN - 0094-243X SP - 389-97 ST - Application of Meta-Heuristic Models for Local Scour Evaluation T2 - AIP Conference Proceedings T3 - AIP Conf. Proc. (USA) TI - Application of Meta-Heuristic Models for Local Scour Evaluation UR - http://dx.doi.org/10.1063/1.3527177 VL - 1303 ID - 1623 ER - TY - BOOK A3 - Bandopadhyay, S. AB - Meta-systhetic technique for large systems engineering has been placed on the agenda. The meta-systhetic AI approach should involve the integration of digital and knowledge info, from qualitative to quantitative analysis, etc. Some algorithms of meta-systhetic technique such as ANN-ES and GA-ANN are introduced. A case study follows mining conditions evaluation by meta-synthetic AI methods, including: setting up the structure of evaluation indexes system, deciding their grade of membership by ANN-ES algorithm; determining the weight values of evaluation factors by GA-ANN algorithm; and developing the integrated evaluation model. AU - Zhang, Y. D. AU - Han, W. L. AU - Li, X. C. DA - 2002 PY - 2002 SN - 0-87335-219-X ST - Application of meta-synthetic AI technique for mining conditions evaluation TI - Application of meta-synthetic AI technique for mining conditions evaluation ID - 2104 ER - TY - JOUR AB - OBJECTIVE: To analyze the application rules of the red-hot needle therapy to the treatment of neurological dysfunction related diseases in the ancient and modern clinical practice by data mining. METHODS: Modern literature data about the red-hot needle therapy in medical journals and partial medical books were collected to establish a "red-hot needling literature network database", followed by manually selecting its applicable illness spectrum of neurological dysfunction. Then, the application rules of the red-hot needling for neurological dysfunction related diseases, including selection of acupuncture needle types, acupoints, operation methods, etc. were analyzed. RESULTS: A total of 17 categories of neurological dysfunction related diseases treated by red-hot needle therapy were collected from medical journals, ten categories of diseases collected from medical cases, and five categories of diseases collected from medical books. The most frequently seen diseases were herpes zoster/residual neuralgia of herpes zoster, facial paralysis, facial neuritis (prosopodynia), and stroke/stroke sequelae, etc. During acupuncture treatment, doctors (acupuncturists) usually selected Ashi points, performed spot pricking or quick insertion and withdrawal of the red-hot needle, or adopted additional surrounded needling around the focus of infection according to syndrome differentiation in some cases. CONCLUSION: Red-hot needle therapy has a good curative efficacy in relieving symptoms of neurological dysfunction related diseases, being worthy of promotion in clinical practice. AU - Xu, Jing AU - Jia, Chun-Sheng AU - Wang, Jian-Ling AU - Shi, Jing DA - 2013/10//undefined IS - 5 J2 - Zhen Ci Yan Jiu KW - Acupuncture Points Acupuncture Therapy/instrumentation/*methods Databases, Factual data mining Humans Nervous System Diseases/*therapy LA - chi PY - 2013 SN - 1000-0607 1000-0607 SP - 420-427 ST - [Application of red-hot needle therapy to management of neurological dysfunction related diseases revealed by data mining technology] T2 - Zhen ci yan jiu = Acupuncture research / [Zhongguo yi xue ke xue yuan Yi xue qing bao yan jiu suo bian ji] TI - [Application of red-hot needle therapy to management of neurological dysfunction related diseases revealed by data mining technology] VL - 38 ID - 164 ER - TY - JOUR AB - Evolutionary algorithms, such as shuffled frog leaping, are stochastic search methods that mimic natural biological evolution and/or the social behavior of species. Such algorithms have been developed to arrive at near-optimum solutions to complex and large-scale optimization problems which cannot be solved by gradient-based mathematical programming techniques. The shuffled frog-leaping algorithm draws its formulation from two other search techniques: the local search of the "particle swarm optimization" technique and the competitiveness mixing of information of the "shuffled complex evolution" technique. Cluster analysis is one of the attractive data mining techniques which is used in many fields. One popular class of data clustering algorithms is the center-based clustering algorithm. K-means is used as a popular clustering method due to its simplicity and high speed in clustering large datasets. However, k-means has two shortcomings: Dependency on the initial state and convergence to local optima and global solutions of large problems cannot be found with reasonable amount of computation effort. In order to overcome local optima problem, lots of studies are done in clustering. In this paper, we proposed an application of shuffled frog-leaping algorithm in clustering (SFLK-means). We compared SFLK-means with other heuristics algorithm in clustering, such as GAK, SA, TS, and ACO, by implementing them on several simulations and real datasets. Our finding shows that the proposed algorithm works better than others. 2009 Springer-Verlag London Limited. AU - Amiri, Babak AU - Fathian, Mohammad AU - Maroosi, Ali DA - 2009 DO - 10.1007/s00170-009-1958-2 IS - 1-2 J2 - International Journal of Advanced Manufacturing Technology KW - Cluster Analysis Clustering algorithms Competition data mining Heuristic methods Mathematical programming Particle swarm optimization (PSO) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 02683768 SP - 199-209 ST - Application of shuffled frog-leaping algorithm on clustering T2 - International Journal of Advanced Manufacturing Technology TI - Application of shuffled frog-leaping algorithm on clustering UR - http://dx.doi.org/10.1007/s00170-009-1958-2 VL - 45 ID - 1312 ER - TY - CONF AB - This paper uses the data warehouse technology to do spatial data warehouse modeling and development for the National Petroleum Resources Database, complete multi-dimensional data storage and integrated cluster processing with Cube, achieve information extraction and decision-making advice with the multidimensional analysis and OLAP analysis tools. Through elaborating and analyzing the key problems such as the meta-data design, ETL processes and coding standards, Made use of data warehouse technology to solve massive, heterogeneous, time-varying effective means of data-processing problems, put forward the effective ways to solve massive, heterogeneous, time-varying by use of data warehouse technology , build the comprehensive utilization of petroleum resources information management platform. 2010 IEEE. AU - Li, Ying AU - Wang, Yang AU - Chen, Ya-Fu AU - Feng, Li-Zhou C3 - 2nd Conference on Environmental Science and Information Application Technology, ESIAT 2010, July 17, 2010 - July 18, 2010 DA - 2010 DO - 10.1109/ESIAT.2010.5568552 KW - Data processing Data warehouses decision making Environmental engineering Information Management Petroleum analysis Petroleum deposits Standardization Technology Time varying systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 SP - 257-260 ST - The application of spatial data warehouse technology in the National Petroleum Resources Database T3 - 2010 2nd Conference on Environmental Science and Information Application Technology, ESIAT 2010 TI - The application of spatial data warehouse technology in the National Petroleum Resources Database UR - http://dx.doi.org/10.1109/ESIAT.2010.5568552 VL - 1 ID - 715 ER - TY - CONF AB - A information fusion diagnosis system was built to reflect the real condition of the mine hoist, to achieve automatical identification and accurate diagnosis of the mine hoist. There are so many limitations in the traditional combination rules of D - S evidence theory. So a new evidence synthesis formula is put forward. It is proved by example analysis that the diagnosis result based on the improved algorithm is more accurate, effective and feasible. AU - Wang, Yu-fang C3 - 2015 34th Chinese Control Conference (CCC), 28-30 July 2015 DA - 2015 DO - 10.1109/ChiCC.2015.7260403 KW - fault diagnosis inference mechanisms mining sensor fusion uncertainty handling PB - IEEE PY - 2015 SP - 4919-22 ST - Application on information fusion technology of fault diagnosis of mine hoist T3 - 2015 34th Chinese Control Conference (CCC). Proceedings TI - Application on information fusion technology of fault diagnosis of mine hoist UR - http://dx.doi.org/10.1109/ChiCC.2015.7260403 ID - 734 ER - TY - JOUR AB - Contemporary knowledge discovery systems are mainly quantitative. This part of the research could be successfully combined with the considered qualitative research in acquisition, elicitation, and discovery of logic-based rules and patterns. The paper introduces a synthetic metamethod (SMM), which is aimed to support different types of creative processes. SMM is applicable in quite different fields of computational discovery, knowledge discovery and data mining, information security, number theory, and computer science but the paper focuses on its applications in intelligent systems. Previous research shows that the main part of the considered set of methods is domain independent and is applicable to a wide range of inconsistency tests, conflict resolution, detection or identification, and in fuzzy perceptions approval. Also, it can be used for elimination of weak analogical or other hypotheses or during application of creative processes concerning different types of intelligent systems. The metamethod SMM is based on the analysis of incoming knowledge: beliefs, probabilistic estimations, hypotheses, perceptions, etc., and a successive check with the existing knowledge. The main methods proposed-SMM, INCONSISTENCY, FUNNEL, and CROSSWORD-interact on a competitive principle. The convergence of the obtained results by its character is close to the one from the group of the data-mining methods. The operation is not quite autonomous; it is evolutionary by nature, and admits a kind of "course change" after the human intervention that can be realized at any time. On the other hand, one of the basic goals of the presented results is to prompt the user about possible nontrivial decisions. It may be considered as a new kind of human-machine-brainstorming methods. A sophisticated evolutionary method is applied to knowledge-poor environments or to the missing precise orientation to the final solution. 2008 Wiley Periodicals, Inc. AU - Jotsov, Vladimir AU - Sgurev, Vassil DA - 2008 DO - 10.1002/int.20285 IS - 5 J2 - International Journal of Intelligent Systems KW - Fuzzy clustering Human computer interaction Intelligent systems Knowledge based systems Metadata Number theory L1 - internal-pdf://1916237892/Jotsov-2008-Applications in intelligent system.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2008 SN - 08848173 SP - 588-606 ST - Applications in intelligent systems of knowledge discovery methods based on human-machine interaction T2 - International Journal of Intelligent Systems TI - Applications in intelligent systems of knowledge discovery methods based on human-machine interaction UR - http://dx.doi.org/10.1002/int.20285 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/int.20285/asset/20285_ftp.pdf?v=1&t=itiuhd40&s=1c2a81d67e33b7094e89d899d77a4449fb72a232 VL - 23 ID - 840 ER - TY - CONF AB - Ontologies have been used in several fields as an engineering artefact with the main purpose of conceptualizing a specific object of study. Therefore, it is reasonable to think about using ontologies to support enterprise modelling. In this paper, we investigate the application of ontologies in enterprise modelling. We performed a comprehensive systematic mapping study in order to understand the usage of ontologies to enterprise modeling. We group the results by business areas, business segments, languages, environments and methodologies. We conclude that ontologies are applicable to assist enterprise modelling and have been used specially in Industry, Health and Environment and Government. AU - Pinto, Vitor Afonso AU - de Rezende Rohlfs, Camila Leles AU - Parreiras, Fernando Silva C3 - 33rd International Conference on Conceptual Modeling, ER 2014, October 27, 2014 - October 29, 2014 DA - 2014 KW - data mining Enterprise resource planning Mapping ontology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2014 SN - 03029743 SP - 23-32 ST - Applications of ontologies in enterprise modelling: A systematic mapping study T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Applications of ontologies in enterprise modelling: A systematic mapping study VL - 8823 ID - 784 ER - TY - JOUR AB - Systematic reviews are a widely accepted research method. However, it is increasingly difficult to conduct them to fit with policy and practice timescales, particularly in areas which do not have well indexed, comprehensive bibliographic databases. Text mining technologies offer one possible way forward in reducing the amount of time systematic reviews take to conduct. They can facilitate the identification of relevant literature, its rapid description or categorization, and its summarization. In this paper, we describe the application of four text mining technologies, namely, automatic term recognition, document clustering, classification and summarization, which support the identification of relevant studies in systematic reviews. The contributions of text mining technologies to improve reviewing efficiency are considered and their strengths and weaknesses explored. We conclude that these technologies do have the potential to assist at various stages of the review process. However, they are relatively unknown in the systematic reviewing community, and substantial evaluation and methods development are required before their possible impact can be fully assessed. Copyright (c) 2011 John Wiley & Sons, Ltd. AU - Thomas, James AU - McNaught, John AU - Ananiadou, Sophia DA - 2011/03//undefined DO - 10.1002/jrsm.27 IS - 1 J2 - Res Synth Methods KW - automatic summarization document classification document clustering research synthesis Screening searching Systematic review term recognition text mining LA - eng PY - 2011 SN - 1759-2879 1759-2879 SP - 1-14 ST - Applications of text mining within systematic reviews T2 - Research synthesis methods TI - Applications of text mining within systematic reviews VL - 2 ID - 175 ER - TY - JOUR AU - Thomas, James AU - McNaught, John AU - Ananiadou, Sophia DA - 2011 DP - Google Scholar IS - 1 L1 - http://psych.colorado.edu/~willcutt/pdfs/thomas_2011.pdf PY - 2011 SP - 1-14 ST - Applications of text mining within systematic reviews T2 - Research Synthesis Methods TI - Applications of text mining within systematic reviews UR - http://onlinelibrary.wiley.com/doi/10.1002/jrsm.27/full VL - 2 Y2 - 2016/09/24/16:00:21 ID - 2399 ER - TY - JOUR AB - With the pervasive implementation of electronic health records (EHR), new opportunities arise for nursing research through use of EHR data. Increasingly, comparative effectiveness research within and across health systems is conducted to identify the impact of nursing for improving health, health care, and lowering costs of care. Use of EHR data for this type of research requires use of national and internationally recognized nursing terminologies to normalize data. Research methods are evolving as large data sets become available through EHRs. Little is known about the types of research and analytic methods for applied to nursing research using EHR data normalized with nursing terminologies. The purpose of this paper is to report on a subset of a systematic review of peer reviewed studies related to applied nursing informatics research involving EHR data using standardized nursing terminologies. AU - Park, Jung In AU - Pruinelli, Lisiane AU - Westra, Bonnie L. AU - Delaney, Connie W. DA - 2014 J2 - Stud Health Technol Inform KW - *Bibliometrics Databases, Bibliographic/*statistics & numerical data Data Mining/*methods Electronic Health Records/*statistics & numerical data natural language processing Nursing Informatics/*statistics & numerical data Nursing Research/*statistics & numerical data Periodicals as Topic/*statistics & numerical data LA - eng PY - 2014 SN - 0926-9630 0926-9630 SP - 395-400 ST - Applied nursing informatics research - state-of-the-art methodologies using electronic health record data T2 - Studies in health technology and informatics TI - Applied nursing informatics research - state-of-the-art methodologies using electronic health record data VL - 201 ID - 266 ER - TY - CONF AB - This paper describes a metadata extraction technique based on natural language processing (NLP) which extracts personalized information from email communications between financial analysts and their clients. Personalized means connecting users with content in a personally meaningful way to create, grow, and retain online relationships. Personalization often results in the creation of user profiles that store individuals' preferences regarding goods or services offered by various e-commerce merchants. With the introduction of e-commerce, it has become more difficult to develop and maintain personalized information due to larger transaction volumes. !metaMarker is an NLP and machine learning (ML)-based automatic metadata extraction system designed to process textual data such as emails, discussion group postings, or chat group transcriptions. !metaMarker extracts both explicit and implicit metadata elements including proper names, numeric concepts, and topic/subject information. In addition, Speech Act Theory inspired metadata elements, which represent the message creators' intention, mood, and urgency are also extracted. In a typical dialogue between financial analysts and their clients, clients often discuss the items that they liked or have an interest. By extracting this information, !metaMarker constructs user profiles automatically. This system has been designed, implemented, and tested with real-world data. The overall accuracy and coverage of extracting explicit and implicit metadata is about 90%. In summary, the paper shows that an NLP-based metadata extraction system enables automatic user profiling with high effectiveness. AU - Woojin, Paik AU - Yilmazel, S. AU - Brown, E. AU - Poulin, M. AU - Dubon, S. AU - Amice, C. C3 - Proceedings of 1st International Conference on Knowledge Capture, 21-23 Oct. 2001 DA - 2001 DO - 10.1145/500737.500757 KW - customer relationship management Electronic commerce Electronic mail financial data processing Knowledge acquisition Knowledge based systems learning (artificial intelligence) meta data natural languages text analysis PB - ACM PY - 2001 SP - 116-22 ST - Applying natural language processing (NLP) based metadata extraction to automatically acquire user preferences T3 - Proceedings of the First International Conference on Knowledge Capture TI - Applying natural language processing (NLP) based metadata extraction to automatically acquire user preferences UR - http://dx.doi.org/10.1145/500737.500757 ID - 751 ER - TY - CONF AB - Film production is an information- and knowledge-intensive industrial process which is undergoing dramatic changes in response to evolving digital technology. The Deep Film Access Project (DFAP) has been researching the potential role of semantic technology in film production, focussing on how a semantic infrastructure could contribute to the integration of the data and metadata generated during the film production lifecycle. This paper reports on the preliminary development of a knowledge framework to support the automatic management of feature film digital assets, based on a workflow analysis supported by an OWL ontology. We discuss the challenges of building on previous work and present examples of ontological modelling of key film production concepts in a semantically rich hybrid ontological framework. AU - Lehmann, J. AU - Atkinson, S. AU - Evans, R. C3 - The Semantic Web: ESWC 2015. Satellite Events, 31 May-4 June 2015 DA - 2015 DO - 10.1007/978-3-319-25639-9_55 KW - entertainment knowledge representation languages meta data ontologies (artificial intelligence) PB - Springer International Publishing PY - 2015 SP - 445-53 ST - Applying Semantic Technology to Film Production T3 - The Semantic Web: ESWC 2015. Satellite Events. Revised Selected Papers: LNCS 9341 TI - Applying Semantic Technology to Film Production UR - http://dx.doi.org/10.1007/978-3-319-25639-9_55 http://link.springer.com/chapter/10.1007%2F978-3-319-25639-9_55 ID - 633 ER - TY - CONF AB - The idea of applying a conjunction of sentiment and social network analysis to improve the performance of applications has recently attracted attention of researchers. In widely used online shopping websites, customers can provide reviews about a product. Also a number of relations like friendship, trust and similarity between products or users are being formed. In this paper a combination of sentiment analysis and social network analysis is employed for extracting classification rules for each customer. These rules represent customers' preferences for each cluster of products and can be seen as a user model. The combination helps the system to classify products based on customers' interests. We compared the results of our proposed method with a baseline method with no social network analysis. The experiments on Amazon's meta-data collection show improvements in the performance of the classification rules compared to the baseline method. AU - Shams, M. AU - Saffar, M. AU - Shakery, A. AU - Faili, H. C3 - Computational Linguistics and Intelligent Text Processing. 13th International Conference (CICLing 2012)., 11-17 March 2012 DA - 2012 DO - 10.1007/978-3-642-28604-9_43 KW - consumer behaviour data mining Internet Knowledge based systems pattern classification retail data processing Social networking (online) user modelling PB - Springer Verlag PY - 2012 SP - 526-39 ST - Applying Sentiment and Social Network Analysis in User Modeling T3 - Computational Linguistics and Intelligent Text Processing. Proceedings 13th International Conference (CICLing 2012) TI - Applying Sentiment and Social Network Analysis in User Modeling UR - http://dx.doi.org/10.1007/978-3-642-28604-9_43 VL - pt.1 ID - 1476 ER - TY - CONF AB - Text Mining is a set of techniques that analyzes large masses of data, extract relations that are unknown beforehand, and provide solutions to help decision-making. Text mining had been used extensively to analyze English text. However, text mining has only been used recently in analyzing Arabic text. As a result the objective of this paper is to present the current state of Arabic text mining. A systematic review has been performed to collect the papers published on the analysis of Arabic text mining. More than one hundred papers were used in our review from different reliable sources, and then they were classified according to their specific domain, and classified again according to the specific techniques used. This paper also provides quantitative analysis of publications according to publication type, year, category, and contributors. AU - Al-Mahmoud, H. AU - Al-Razgan, M. C3 - 2015 International Conference on Cloud Computing (ICCC), 26-29 April 2015 DA - 2015 DO - 10.1109/CLOUDCOMP.2015.7149632 KW - data analysis data mining decision making feature extraction natural language processing PB - IEEE PY - 2015 SP - 7-pp. ST - Arabic Text Mining: A Systematic Review of the Published Literature 2002-2014 T3 - 2015 International Conference on Cloud Computing (ICCC). Proceedings TI - Arabic Text Mining: A Systematic Review of the Published Literature 2002-2014 UR - http://dx.doi.org/10.1109/CLOUDCOMP.2015.7149632 ID - 1677 ER - TY - CONF AB - In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classification result. Recently promising approaches using parallel and distributed computing have been presented. In this paper, we consider an approach that uses classifiers trained on a number of data subsets in parallel as in the arbiter meta-learning technique. We suggest that information is collected during the learning phase about the performance of the included base classifiers and arbiters and that this information is used during the application phase to select the best classifier dynamically. We evaluate our technique and compare it with the simple arbiter meta-learning using selected data sets from the UCI machine learning repository. The comparison results show that our dynamic meta-learning technique outperforms the arbiter metalearning significantly in some cases but further profound analysis is needed to draw general conclusions. Springer-Verlag Berlin Heidelberg 1999. AU - Tsymbal, Alexey AU - Puuronen, Seppo AU - Terziyan, Vagan C3 - 3rd East European Conference on Advances in Databases and Information Systems, ADBIS 1999, September 13, 1999 - September 16, 1999 DA - 1999 DO - 10.1007/3-540-48252-0_16 KW - artificial intelligence Asynchronous sequential logic Classification (of information) data mining Distributed computer systems Information systems Learning algorithms Learning systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 1999 SN - 03029743 SP - 205-217 ST - Arbiter meta-learning with dynamic selection of classifiers and its experimental investigation T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Arbiter meta-learning with dynamic selection of classifiers and its experimental investigation UR - http://dx.doi.org/10.1007/3-540-48252-0_16 VL - 1691 ID - 1643 ER - TY - CONF AB - In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact on the quality of the classification result. Recently promising approaches using parallel and distributed computing have been presented. We consider an approach that uses classifiers trained on a number of data subsets in parallel as in the arbiter meta-learning technique. We suggest that information is collected during the learning phase about the performance of the included base classifiers and arbiters and that this information is used during the application phase to select the best classifier dynamically. We evaluate our technique and compare it with the simple arbiter meta-learning using selected data sets from the UCI machine learning repository. The comparison results show that our dynamic meta-learning technique outperforms the arbiter meta-learning significantly in some cases but further profound analysis is needed to draw general conclusions. AU - Tsymbal, A. AU - Puuronen, S. AU - Terziyan, V. C3 - Proceedings of ADBIS'99: The Advances in Databases and Information System '99, 13-16 Sept. 1999 DA - 1999 KW - data mining learning (artificial intelligence) parallel algorithms pattern classification PB - Springer-Verlag PY - 1999 SP - 205-17 ST - Arbiter meta-learning with dynamic selection of classifiers and its experimental investigation T3 - Advances in Databases and Information Sytems. Third East European Conference, ADBIS'99. Proceedings. (Lecture Notes in Computer Science Vol.1691) TI - Arbiter meta-learning with dynamic selection of classifiers and its experimental investigation ID - 1748 ER - TY - CONF AB - In the modern times, the highway management needs better information supporting system to connect all these Online Transaction Processing Systems, to meet the integrated data analysis need of scientific management. Because of the deficiencies of traditional data management information system, the data warehouse technology has been used to organize and analysis the massive datas and provide a basis decision-making supporting. Combination of the highway management practices, in this paper the provincial highway management data warehouse architecture was constructed and the data model design method and strategy were put forward, and the subject, data granularity of data warehouse for highway management were analysed. In finally the meta-data organize and its implementation program were discussed. With the application of data warehouse technology in highway management, which will promote the analysis of management decision-making of China's highway modernization, scientific and information process. AU - Zhou, Qian AU - Sun, Li-jun C3 - 2009 Second International Conference on Intelligent Computation Technology and Automation (ICICTA), 10-11 Oct. 2009 DA - 2009 DO - 10.1109/ICICTA.2009.826 KW - data mining data models Data warehouses decision making Information Management meta data Roads traffic information systems transaction processing PB - IEEE PY - 2009 SP - 459-62 ST - The architecture and design strategy for data warehouse of highway management T3 - 2009 Second International Conference on Intelligent Computation Technology and Automation (ICICTA) TI - The architecture and design strategy for data warehouse of highway management UR - http://dx.doi.org/10.1109/ICICTA.2009.826 VL - vol.4 ID - 1680 ER - TY - CONF AB - The increasing number of Earth Observation image acquisitions provides huge volume of information, which requires new techniques, methods and tools to explore and exploit the abundant volume of information contained in the image archives. This paper presents an architecture concept for data mining systems using Earth Observation images. The architecture concept is defined as a modular system composed of five modules allowing functions such as primitive feature extraction, image content and context analyses, finding scenes of interest by content, enriched metadata, and semantics, the interpretation and understanding of the image content, semantic definition of the image content, and visualization of the image database via human machine interfaces. All these functionalities are integrated and supported by a database management system. AU - Espinoza-Molina, D. AU - Datcu, M. C3 - 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 21-26 July 2013 DA - 2013 DO - 10.1109/IGARSS.2013.6723130 KW - content-based retrieval data mining data visualisation feature extraction Human computer interaction image retrieval meta data natural scenes PB - IEEE PY - 2013 SP - 1729-32 ST - Architecture Concept for Earth Observation Data Mining System T3 - 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) TI - Architecture Concept for Earth Observation Data Mining System UR - http://dx.doi.org/10.1109/IGARSS.2013.6723130 ID - 1694 ER - TY - JOUR AB - Motivations: Technological advances in biomedical research are generating a plethora of heterogeneous data at a high rate. There is a critical need for extraction, integration and management tools for information discovery and synthesis from these heterogeneous data. Results: In this paper, we present a general architecture, called ALFA, for information extraction and representation from diverse biological data. The ALFA architecture consists of: (i) a networked, hierarchical, hyper-graph object model for representing information from heterogeneous data sources in a standardized, structured format; and (ii) a suite of integrated, interactive software tools for information extraction and representation from diverse biological data sources. As part of our research efforts to explore this space, we have currently prototyped the ALFA object model and a set of interactive software tools for searching, filtering, and extracting information from scientific text. In particular, we describe BioFerret, a meta-search tool for searching and filtering relevant information from the web, and ALFA Text Viewer, an interactive tool for user-guided extraction, disambiguation, and representation of information from scientific text. We further demonstrate the potential of our tools in integrating the extracted information with experimental data and diagrammatic biological models via the common underlying ALFA representation. AU - Vailaya, A. AU - Bluvas, P. AU - Kincaid, R. AU - Kuchinsky, A. AU - Creech, M. AU - Adler, A. DA - 2005/02/15/ DO - 10.1093/bioinformatics/bti187 IS - 4 PY - 2005 SN - 1367-4803 SP - 430-438 ST - An architecture for biological information extraction and representation T2 - Bioinformatics TI - An architecture for biological information extraction and representation VL - 21 ID - 2070 ER - TY - JOUR AB - The constantly growing amount ofWeb content and the success of the SocialWeb lead to increasing needs for Web archiving. These needs go beyond the pure preservation of Web pages. Web archives are turning into "community memories" that aim at building a better understanding of the public view on, e.g., celebrities, court decisions and other events. Due to the size of the Web, the traditional "collect-all" strategy is in many cases not the best method to build Web archives. In this paper, we present the ARCOMEM (From Collect-All Archives to Community Memories) architecture and implementation that uses semantic information, such as entities, topics and events, complemented with information from the Social Web to guide a novel Web crawler. The resulting archives are automatically enriched with semantic meta-information to ease the access and allow retrieval based on conditions that involve high-level concepts. 2014 by the authors. AU - Risse, Thomas AU - Demidova, Elena AU - Dietze, Stefan AU - Peters, Wim AU - Papailiou, Nikolaos AU - Doka, Katerina AU - Stavrakas, Yannis AU - Plachouras, Vassilis AU - Senellart, Pierre AU - Carpentier, Florent AU - Mantrach, Amin AU - Cautis, Bogdan AU - Siehndel, Patrick AU - Spiliotopoulos, Dimitris DA - 2014 DO - 10.3390/fi6040688 IS - 4 J2 - Future Internet KW - Architecture Semantics Semantic Web Social networking (online) Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 19995903 SP - 688-716 ST - The ARCOMEM architecture for social- and semantic-driven web archiving T2 - Future Internet TI - The ARCOMEM architecture for social- and semantic-driven web archiving UR - http://dx.doi.org/10.3390/fi6040688 VL - 6 ID - 642 ER - TY - CONF AB - Web 2.0 platforms give people more power over the way they share information and exchange opinions. The increase in social interactivity leads to the emerging of self-organized communities where members form their opinions via social swarming. This paper introduces a new approach which enables predicting and explaining the process of collective opinion formation by social swarming. A computational model for simulating collective opinion formation is derived from the ant colony meta-heuristic and applied to an exemplary online community where the members' opinions are identified via text mining. For validation purposes, this approach is compared to three other approaches. AU - Kaiser, C. AU - Piazza, A. AU - Krockel, J. AU - Bodendorf, F. C3 - 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust (PASSAT) / 2011 IEEE Third Int'l Conference on Social Computing (SocialCom), 9-11 Oct. 2011 DA - 2011 DO - 10.1109/PASSAT/SocialCom.2011.94 KW - ant colony optimisation behavioural sciences computing data mining Internet text analysis PB - IEEE Computer Society PY - 2011 SP - 266-73 ST - Are Humans Like Ants? - Analyzing Collective Opinion Formation in Online Discussions T3 - Proceedings of the 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and IEEE Third International Conference on Social Computing (PASSAT/SocialCom 2011) TI - Are Humans Like Ants? - Analyzing Collective Opinion Formation in Online Discussions UR - http://dx.doi.org/10.1109/PASSAT/SocialCom.2011.94 ID - 1222 ER - TY - JOUR AB - Seed characteristics play an important role in the colonization and subsequent persistence of species during succession in disturbed sites and thus may contribute to being able to predict restoration success. In the present study, we investigated how various seed characteristics participated in 11 spontaneous successional series running in different mining sites (spoil heaps, extracted sand and sand-gravel pits, extracted peatlands, and stone quarries) in the Czech Republic, Central Europe. Using 1864 samples from 1- to 100-years-old successional stages, we tested whether species optimum along the succession gradient could be predicted using 10 basic species traits connected with diaspores and dispersal. Seed longevity, diaspore mass, endozoochory, and autochory appeared to be the best predictors. The results indicate that seed characteristics can predict to a certain degree spontaneous vegetation succession, i.e., passive restoration, in the mining sites. A screening of species available in the given landscape (regional and local species pools) may help to identify those species which would potentially colonize the disturbed sites. Extensive databases of species traits, nowadays available for the Central European flora, enable such screening. AU - Horackova, Martina AU - Rehounkova, Klara AU - Prach, Karel DA - 2016/07//undefined DO - 10.1007/s11356-015-5415-5 IS - 14 J2 - Environ Sci Pollut Res Int KW - Dispersal types Life history traits Meta-analysis Mining sites Passive restoration Primary succession Spontaneous succession LA - eng PY - 2016 SN - 1614-7499 0944-1344 SP - 13617-13625 ST - Are seed and dispersal characteristics of plants capable of predicting colonization of post-mining sites? T2 - Environmental science and pollution research international TI - Are seed and dispersal characteristics of plants capable of predicting colonization of post-mining sites? VL - 23 ID - 174 ER - TY - JOUR AB - The discovery of a Neolithic Alpine jade axehead in Aroche, in the southwest of Spain, revives the question of long-distance exchange between the Iberian Peninsula and the rest of Europe. This polished blade belongs to a typological model quite characteristic of Alpine production during the second half of the 5th millennium B.C. Different mineralogical approaches (macroscopic features examination, specific gravity, direct XRD, non-destructive mu XRF spectroscopy, optical stereomicroscopy, magnetic susceptibility determination and microprobe analysis) have identified the rock as an omphacitic jadeitite (mixed jade) with some tiny garnets and a weak retromorphosis. This analysis and the comparison of the rock structure with the referential JADE of Alpine natural jade samples, as well as the extraction modalities and shaping of the axe, provide strong arguments to assign the Aroche axe to a production of Mont Viso: the origin of thousands of axes that circulated in Europe between Ireland and Sicily. The Aroche axe, discovered not far from the variscite mines of Encinasola, could be considered as part of a possible exchange system between the Iberian Peninsula and the Gulf of Morbihan, in Brittany. AU - Dominguez-Bella, Salvador AU - Cassen, Serge AU - Petrequin, Pierre AU - Prichystal, Antonin AU - Martinez, Javier AU - Ramos, Jose AU - Medina, Nieves DA - 2016/03// DO - 10.1007/s12520-015-0232-9 IS - 1 PY - 2016 SN - 1866-9557 SP - 205-222 ST - Aroche (Huelva, Andalucia): a new Neolithic axehead of Alpine jade in the southwest of the Iberian Peninsula T2 - Archaeological and Anthropological Sciences TI - Aroche (Huelva, Andalucia): a new Neolithic axehead of Alpine jade in the southwest of the Iberian Peninsula VL - 8 ID - 2088 ER - TY - JOUR AB - BACKGROUND: The delineation of genomic copy number abnormalities (CNAs) from cancer samples has been instrumental for identification of tumor suppressor genes and oncogenes and proven useful for clinical marker detection. An increasing number of projects have mapped CNAs using high-resolution microarray based techniques. So far, no single resource does provide a global collection of readily accessible oncogenomic array data. METHODOLOGY/PRINCIPAL FINDINGS: We here present arrayMap, a curated reference database and bioinformatics resource targeting copy number profiling data in human cancer. The arrayMap database provides a platform for meta-analysis and systems level data integration of high-resolution oncogenomic CNA data. To date, the resource incorporates more than 40,000 arrays in 224 cancer types extracted from several resources, including the NCBI's Gene Expression Omnibus (GEO), EBI's ArrayExpress (AE), The Cancer Genome Atlas (TCGA), publication supplements and direct submissions. For the majority of the included datasets, probe level and integrated visualization facilitate gene level and genome wide data review. Results from multi-case selections can be connected to downstream data analysis and visualization tools. CONCLUSIONS/SIGNIFICANCE: To our knowledge, currently no data source provides an extensive collection of high resolution oncogenomic CNA data which readily could be used for genomic feature mining, across a representative range of cancer entities. arrayMap represents our effort for providing a long term platform for oncogenomic CNA data independent of specific platform considerations or specific project dependence. The online database can be accessed at http//www.arraymap.org. AU - Cai, Haoyang AU - Kumar, Nitin AU - Baudis, Michael DA - 2012 DO - 10.1371/journal.pone.0036944 IS - 5 J2 - PLoS One KW - *Databases, Genetic *Gene Dosage Genome Genomics/*methods Humans Neoplasms/*genetics L1 - internal-pdf://0655495367/Cai-2012-arrayMap_ a reference resource for ge.pdf LA - eng PY - 2012 SN - 1932-6203 1932-6203 SP - e36944 ST - arrayMap: a reference resource for genomic copy number imbalances in human malignancies T2 - PloS one TI - arrayMap: a reference resource for genomic copy number imbalances in human malignancies UR - http://journals.plos.org/plosone/article/asset?id=10.1371/journal.pone.0036944.PDF VL - 7 ID - 267 ER - TY - JOUR AB - Clustering is a popular data analysis and data mining technique. In this paper, an artificial bee colony clustering algorithm is presented to optimally partition N objects into K clusters. The Deb's rules are used to direct the search direction of each candidate. This algorithm has been tested on several well-known real datasets and compared with other popular heuristics algorithm in clustering, such as GA, SA, TS, ACO and the recently proposed K-NM-PSO algorithm. The computational simulations reveal very encouraging results in terms of the quality of solution and the processing time required. 2009 Elsevier Ltd. All rights reserved. AU - Zhang, Changsheng AU - Ouyang, Dantong AU - Ning, Jiaxu DA - 2010 DO - 10.1016/j.eswa.2009.11.003 IS - 7 J2 - Expert Systems with Applications KW - Cluster Analysis Clustering algorithms Computation theory data mining Heuristic algorithms Heuristic methods N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2010 SN - 09574174 SP - 4761-4767 ST - An artificial bee colony approach for clustering T2 - Expert Systems with Applications TI - An artificial bee colony approach for clustering UR - http://dx.doi.org/10.1016/j.eswa.2009.11.003 VL - 37 ID - 1487 ER - TY - CONF A2 - Dicheva, D. A2 - Dochev, D. AB - The following topics are dealt with: artificial intelligence; knowledge representation; time-series analysis; DL-Lite ontologies; cross language personalization; semantic content-based recommender system; social networking sites; ad-hoc navigation; Web document presentation; inductive logic programming; machine learning; data mining; information retrieval; Bayesian Model; feedback generation; AI in education; fuzzy ARTMAP neural networks; collaborative knowledge modeling; e-learning facilities; meta learning; autonomous agent behavior. C3 - Artificial Intelligence: Methodology, Systems, and Applications. 14th International Conference, AIMSA 2010, 8-10 Sept. 2010 DA - 2010 KW - ad hoc networks artificial intelligence Computer aided instruction Feedback fuzzy neural nets groupware inductive logic programming information retrieval Recommender systems Social networking (online) time series PB - Springer Verlag PY - 2010 SP - xiv+286 ST - Artificial Intelligence: Methodology, Systems, and Applications. Proceedings 14th International Conference, AIMSA 2010 TI - Artificial Intelligence: Methodology, Systems, and Applications. Proceedings 14th International Conference, AIMSA 2010 ID - 1134 ER - TY - JOUR AB - Solar energy generated by sunlight has a non-schedulable nature due to the stochastic environment of meteorological conditions. Hence, power system control and the energy business require the prediction of solar energy (radiation) from a few seconds up to one week in advance. To deal with prediction shortcomings, various solar radiation prediction methods have been used. Predictive data mining offers variety of methods for solar radiation predictions where artificial neural network is one of the reliable and accurate methods. A systematic review of literature was conducted and identified 24 papers that discuss artificial neural network for solar systems design and solar radiation prediction. The artificial neural network techniques were employed for designing solar systems and predicting solar radiations to assess current literature on the basis of prediction accuracy and inadequacies. Specific inclusion and exclusion criteria in two distinct rounds were applied to determine the most relevant studies for our research goal. Further, it is observed from the result of this study that artificial neural network gives good accuracy in terms of prediction error less than 20%. The accuracy of solar radiation prediction models is found to be dependent on input parameters and architecture type algorithms utilized. Therefore, artificial neural network as compared to other empirical models is capable to deal with many input meteorological parameters, which make it more accurate and reliable. 2015 Elsevier Ltd. All rights reserved. AU - Qazi, Atika AU - Fayaz, H. AU - Wadi, A. AU - Raj, Ram Gopal AU - Rahim, N. A. AU - Khan, Waleed Ahmed DA - 2015 DO - 10.1016/j.jclepro.2015.04.041 J2 - Journal of Cleaner Production KW - data mining Forecasting Neural networks RADIATION Solar energy Solar power generation solar radiation Solar system Stochastic systems Sun N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 09596526 SP - 1-12 ST - The artificial neural network for solar radiation prediction and designing solar systems: A systematic literature review T2 - Journal of Cleaner Production TI - The artificial neural network for solar radiation prediction and designing solar systems: A systematic literature review UR - http://dx.doi.org/10.1016/j.jclepro.2015.04.041 VL - 104 ID - 876 ER - TY - JOUR AB - OBJECTIVES/HYPOTHESIS: Occupational exposure to asbestos occurs in many workplaces and is well known to cause asbestosis, lung cancer, and mesothelioma. However, the link between asbestos exposure and other malignancies was not confirmed. The aim of the current meta-analysis was to provide a summary measure of risk for laryngeal cancer associated with occupational asbestos exposure. STUDY DESIGN: Systematic review and meta-analysis. METHODS: Electronic databases were searched for studies characterizing the association between asbestos and laryngeal cancer. Standardized mortality rate (SMR) with its 95% confidence interval (CI) of each study was combined using a fixed or random effect model. RESULTS: Significantly increased SMR for laryngeal cancer was observed when subjects were exposed to asbestos (SMR = 1.69, 95% CI = 1.45-1.97, P < .001), with little evidence of heterogeneity among studies (Q = 15.39, P = .803, I(2) = 0.0%). Effect estimates were larger for cohorts controlling for male subjects, Europe and Oceania, mining and textile industries, exposure to crocidolite, long study follow-up (>25 years), and SMR for lung cancer > 2.0. Publication bias was not detect by Begg test (P = .910) and Egger test (P = .340). CONCLUSIONS: Our study supports the association of exposure to asbestos with an increased risk of laryngeal cancer mortality among male workers. LEVEL OF EVIDENCE: NA Laryngoscope, 126:1169-1174, 2016. AU - Peng, Wen-Jia AU - Mi, Jing AU - Jiang, Yu-Hong DA - 2016/05//undefined DO - 10.1002/lary.25693 IS - 5 J2 - Laryngoscope KW - Asbestos Cancer larynx mortality LA - eng PY - 2016 SN - 1531-4995 0023-852X SP - 1169-1174 ST - Asbestos exposure and laryngeal cancer mortality T2 - The Laryngoscope TI - Asbestos exposure and laryngeal cancer mortality VL - 126 ID - 96 ER - TY - JOUR AB - Objectives/HypothesisOccupational exposure to asbestos occurs in many workplaces and is well known to cause asbestosis, lung cancer, and mesothelioma. However, the link between asbestos exposure and other malignancies was not confirmed. The aim of the current meta-analysis was to provide a summary measure of risk for laryngeal cancer associated with occupational asbestos exposure. Study DesignSystematic review and meta-analysis. MethodsElectronic databases were searched for studies characterizing the association between asbestos and laryngeal cancer. Standardized mortality rate (SMR) with its 95% confidence interval (CI) of each study was combined using a fixed or random effect model. ResultsSignificantly increased SMR for laryngeal cancer was observed when subjects were exposed to asbestos (SMR = 1.69, 95% CI = 1.45-1.97, P < .001), with little evidence of heterogeneity among studies (Q = 15.39, P = .803, I-2 = 0.0%). Effect estimates were larger for cohorts controlling for male subjects, Europe and Oceania, mining and textile industries, exposure to crocidolite, long study follow-up (>25 years), and SMR for lung cancer > 2.0. Publication bias was not detect by Begg test (P = .910) and Egger test (P = .340). ConclusionsOur study supports the association of exposure to asbestos with an increased risk of laryngeal cancer mortality among male workers. Level of EvidenceNA Laryngoscope, 126:1169-1174, 2016 AU - Peng, Wen-jia AU - Mi, Jing AU - Jiang, Yu-hong DA - 2016/05// DO - 10.1002/lary.25693 IS - 5 PY - 2016 SN - 0023-852X SP - 1169-1174 ST - Asbestos exposure and laryngeal cancer mortality T2 - Laryngoscope TI - Asbestos exposure and laryngeal cancer mortality VL - 126 ID - 1940 ER - TY - RPRT AB - This report begins with introductory chapters on the general characteristics of asbestos deposits, asbestos exploration and production in British Columbia; the asbestos industry; the environmental and health implications of asbestos; asbestos legislation and regulation in the United States and Canada; and a review of the physical properties and mineralogy of the different types of asbestos. The remainder of the report consists of a systematic review of the asbestos resources of British Columbia. A detailed geological summary accompanies each showing description. The regional geology of each area has been used to characterise the 97 known occurrences of asbestos, with particular attention to the relationship to host rocks, adjacent lithologies, tectonic setting, and proximity of intrusion. A status is applied to each occurrence (showing, prospect, developed prospect, or past producer). Deposit descriptions are arranged by both host terrane and physiographic area. Asbestos mineralisation is identified, where possible, by mineral type (asbestiform serpentine or amphibole). AU - Harvey-Kelly, F. CY - Canada DA - 1996 KW - Asbestos Geology Maps Mines and mineral resources Ore deposits N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 1996 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 102p ST - Asbestos occurrences in British Columbia TI - Asbestos occurrences in British Columbia ID - 508 ER - TY - JOUR AB - Clinical trials are mandatory protocols describing medical research on humans and among the most valuable sources of medical practice evidence. Searching for trials relevant to some query is laborious due to the immense number of existing protocols. Apart from search, writing new trials includes composing detailed eligibility criteria, which might be time-consuming, especially for new researchers. In this paper we present ASCOT, an efficient search application customised for clinical trials. ASCOT uses text mining and data mining methods to enrich clinical trials with metadata, that in turn serve as effective tools to narrow down search. In addition, ASCOT integrates a component for recommending eligibility criteria based on a set of selected protocols. AU - Korkontzelos, I. AU - Tingting, Mu AU - Ananiadou, S. DA - 2012 DO - 10.1186/1472-6947-12-S1-S3 IS - suppl1 J2 - BMC Medical Informatics and Decision Making KW - data mining medical administrative data processing meta data protocols query processing text analysis Web services L1 - internal-pdf://0989492335/Korkontzelos-2012-ASCOT_ a text mining-based w.pdf PY - 2012 SN - 1472-6947 SP - S3-(12 pp.) ST - ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials T2 - BMC Medical Informatics and Decision Making TI - ASCOT: a text mining-based web-service for efficient search and assisted creation of clinical trials UR - http://dx.doi.org/10.1186/1472-6947-12-S1-S3 https://www-ncbi-nlm-nih-gov.ezproxy.lib.vt.edu/pmc/articles/PMC3339391/pdf/1472-6947-12-S1-S3.pdf VL - 12 ID - 1769 ER - TY - CONF AB - The proceedings contain 49 papers. The special focus in this conference is on modeling theory and technology, M and S technology on synthesized environments and virtual reality environments, pervasive computing and simulation technology, embedded computing and simulation technology, and verification/ validation/accreditation technology. The topics include: towards a course of action probability ontology for logistic supply destruction operation; research on system of systems complexity and decision making; degree dependence entropy; runtime reconstruction of simulation models for dynamic structure systems; a data-based fuzzy cognitive map mining method using DE-SQP algorithm; study on modeling and simulation of agent-based agricultural economic system; methods to improve accuracy and speed for the quasi-3D electromagnetic environment simulation; a comparison of multi-objective evolutionary algorithms for simulation-based optimization; openGL simulation system for ICF target-positioning; the design of shock test system based on C#; simulation research on unit element calibration method based geometry discretization; canoe-based modeling and simulation for heavy lorry CAN bus network; finite difference method for solving the time fractional diffusion equation; the application of modeling for irregular objects in the heavy driving simulation system; modeling and visualizing of the mooring system of anchor handling simulator; dynamic simulation of fishing net based on cubic B-spline surface; research on the sea ice modeling and collision detection in ice navigation scene; research on simulation of low altitude penetration technologies for target of radar training simulator; the vector view-up in computer graphics; research on coroutine-based process interaction simulation mechanism in C++; compound disturbance observer for flight simulator; design for home robot simulation based on DFS; working process simulation analysis on an diesel injector with different needle valve parameters; research on SDEM and its transformation in the gateway design; an efficient synchronous PDES tool for creating scalable simulations; clock synchronization method for distributed real-time simulation based on multilayer network architecture; seismic analysis and fatigue life analysis of slat-leg rigid-frame bridge; research on the rapid slicing algorithm for NC milling based on STL model; study on behavior simulation of virtual object based physically attribute; research on automatic large scale terrain modeling; the 3D model conversion tool for OGRE system; real-time rendering and animating of grass; study on the method of assembly sequence evaluation oriented to virtual assembly; phased array antenna design based on kriging meta-model; pseudo-coloring occlusion culling; the research on visual flight simulation for unmanned helicopter; research of large terrain multithreading fast scheduling based on the OSG; semi-transparent and fused visualization of tetrahedral simulation volume data; realistic simulation of tomato garden based on GPU; a volume compression scheme based on block division with fast cubic b-spline evaluation; building an inverted pyramid display for group learning; particle-based transparent texture mapping for implicit surfaces; design and research of visual simulation system based on HLA; summarization of virtual battlefield environment technology and UAVs formation flight control based on behavior and virtual. C3 - Asia Simulation Conference 2012, AsiaSim 2012, October 27, 2012 - October 30, 2012 DA - 2012 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2012 SN - 18650929 SP - CASS ST - Asia Simulation Conference 2012, AsiaSim 2012 T3 - Communications in Computer and Information Science TI - Asia Simulation Conference 2012, AsiaSim 2012 VL - 325 ID - 554 ER - TY - CONF A2 - Woods, L. AB - The following topics were dealt with: World Wide Web searching; digital libraries; student searching studies; knowledge management; rule learning and text mining; meta data; electronic publications; Web policies; knowledge capture; analysis and visualization; relevance criteria; information dissemination; domain specific applications; knowledge organization; work environments; and image processing and retrieval. C3 - ASIS'99. Proceedings of the 62nd ASIS Annual Meeting. Vol.36. Knowledge: Creation, Organization and Use, 31 Oct.-4 Nov. 1999 DA - 1999 KW - business data processing data mining Digital Libraries Information Dissemination Information Resources information retrieval information use Internet meta data PB - Information Today PY - 1999 SP - xii+868 ST - ASIS'99. Proceedings of the 62nd ASIS Annual Meeting, Vol.36. Knowledge: Creation, Organization and Use TI - ASIS'99. Proceedings of the 62nd ASIS Annual Meeting, Vol.36. Knowledge: Creation, Organization and Use ID - 1334 ER - TY - JOUR AB - Objective: Adverse event reports (AERs) submitted to the US Food and Drug Administration (FDA) were reviewed to assess the bleeding complications induced by the administration of antiplatelets and to attempt to determine the rank-order of the association. Methods: After a deletion of duplicated submissions and the revision of arbitrary drug names, AERs involving warfarin, aspirin, cilostazol, clopidogrel, ethyl icosapentate, limaprost alfadex, sarpogrelate, and ticlopidine were analyzed. Authorized pharmacovigilance tools were used for the quantitative detection of signals, i.e., drug-associated adverse events, including the proportional reporting ratio, the reporting odds ratio, the information component given by a Bayesian confidence propagation neural network, and the empirical Bayes geometric mean. Results: Based on 22,017,956 co-occurrences, i.e., drug-adverse event pairs, found in 1,644,220 AERs from 2004 to 2009, 736 adverse events were listed as warfarin-associated adverse events, and 147 of the 736 were bleeding complications, including haemorrhage and haematoma. Both aspirin and clopidogrel were associated with haemorrhage, but the association was more noteworthy for clopidogrel. As for bleeding complications related to the gastrointestinal system, e. g., melaena and haematochezia, the statistical metrics suggested a stronger association for aspirin than clopidogrel. The total number of co-occurrences was not large enough to compare the association with bleeding complications for the other 5 antiplatelets. Conclusions: The data strongly suggest the necessity of well-organized clinical studies with respect to antiplatelet-associated bleeding complications. AU - Tamura, Takao AU - Sakaeda, Toshiyuki AU - Kadoyama, Kaori AU - Okuno, Yasushi DA - 2012 DO - 10.7150/ijms.4549 IS - 6 PY - 2012 SN - 1449-1907 SP - 441-446 ST - Aspirin- and Clopidogrel-associated Bleeding Complications: Data Mining of the Public Version of the FDA Adverse Event Reporting System, AERS T2 - International Journal of Medical Sciences TI - Aspirin- and Clopidogrel-associated Bleeding Complications: Data Mining of the Public Version of the FDA Adverse Event Reporting System, AERS VL - 9 ID - 2049 ER - TY - JOUR AB - STUDY DESIGN: Meta-analysis of individual patient data. OBJECTIVE: To date, the progression pattern of cauda equina syndrome (CES) has not been summarized. This study assessed individual patient data from CES cases, investigated the CES progression pattern to help clinicians provide timely diagnoses. SUMMARY OF BACKGROUND DATA: Because there were few randomized controlled trials about CES, our research was based on case reports of CES with detailed medical history. METHODS: We searched English literature regarding CES in the PubMed database. We included a total of 198 publications involving 264 cases that met the inclusion criteria. The occurrence order of symptoms was determined by reviewing patients' medical histories, and the progression pattern of CES was analyzed using sequential pattern mining. Finally, we summarized and reassessed the current timing of CES diagnosis. RESULTS: Result of sequential pattern mining demonstrated that the progression process of CES could be divided into 3 stages: early stage of CES (CESE), with bilateral peripheral nerve dysfunction characterized by progressive sensory-motor defects from unilateral to bilateral in lower extremities; incomplete CES, with reduction of sphincter functions; and CES in retention, with sphincter dysfunction. Among all the cases, 81.08% (180 cases) were diagnosed at the stage of incomplete CES or CES in retention, in which 99.4% (179 cases) had experienced CESE without being diagnosed. CONCLUSION: The characteristic progressive sensory-motor CESE defects in lower extremities marked CES onset. Instead of waiting for the onset of sphincter function abnormalities, CES should be diagnosed when the CESE symptoms manifest. AU - Sun, Jing-Chuan AU - Xu, Tao AU - Chen, Ke-Fu AU - Qian, Wei AU - Liu, Kun AU - Shi, Jian-Gang AU - Yuan, Wen AU - Jia, Lian-Shun DA - 2014/04/01/ DO - 10.1097/BRS.0000000000000079 IS - 7 J2 - Spine (Phila Pa 1976) KW - *Early Diagnosis Adolescent Adult Aged Aged, 80 and over Child Disease Progression Female Humans Intervertebral Disc Displacement/*diagnosis Male Middle Aged Polyradiculopathy/*diagnosis/epidemiology Time Factors Young Adult LA - eng PY - 2014 SN - 1528-1159 0362-2436 SP - 596-602 ST - Assessment of cauda equina syndrome progression pattern to improve diagnosis T2 - Spine TI - Assessment of cauda equina syndrome progression pattern to improve diagnosis VL - 39 ID - 125 ER - TY - JOUR AB - Background: A novel strain of human influenza A (H1N1) posed a serious pandemic threat worldwide during 2009. The public's fear of pandemic flu often raises awareness and discussion of such events. Objectives: The goal of this study was to characterize major topical matters of H1N1 questions and answers raised by the online question and answer community Yahoo! Answers during H1N1 outbreak. Methods: The study used Text Mining for SPSS Clementine (v. 12; SPSS Inc., Chicago, IL) to extract the major concepts of the collected Yahoo! questions and answers. The original collections were retrieved using "H1N1" in search, keyword and then filtered for only "resolved questions" in the "health" category submitted within the past 2 years. Results: The most frequently formed categories were as follows: general health (health, disease, medicine, investigation, evidence, problem), flu-specific terms (H1N1, swine, shot, fever, cold, infective, throat), and nonmedical issues (feel, North American, people, child, nations, government, states, help, doubt, emotion). The study found that URL data are fairly predictable: those providing answers are divided between ones dedicated to giving trustworthy information-from news organizations and the government, for instance-and those looking to espouse a more biased point of view. Conclusion: Critical evaluation of online sources should be taught to select the quality of information and improve health literacy. The challenges of pandemic prevention and control, therefore, demand both e-surveillance and better informed "Netizens." Copyright (C) 2012 by the Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved. AU - Kim, Sujin AU - Pinkerton, Thomas AU - Ganesh, Nithya DA - 2012/04// DO - 10.1016/j.ajic.2011.03.028 IS - 3 L1 - internal-pdf://3539411142/Kim-2012-Assessment of H1N1 questions and answ.pdf PY - 2012 SN - 0196-6553 SP - 211-217 ST - Assessment of H1N1 questions and answers posted on the Web T2 - American Journal of Infection Control TI - Assessment of H1N1 questions and answers posted on the Web UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0196655311003178/1-s2.0-S0196655311003178-main.pdf?_tid=b813f80a-833e-11e6-97ce-00000aacb35e&acdnat=1474821788_a2849a90c3e5cff22c17b4ef29a2cc25 VL - 40 ID - 2094 ER - TY - CONF AB - To estimate patients risks and make clinical decisions, evidence based medicine (EBM) relies upon the results of reproducible trials and experiments supported by accurate mathematical methods. Experimental and clinical evidence is crucial, but laboratory testing and especially clinical trials are expensive and time-consuming. On the other hand, a new medical product to be evaluated may be similar to one or many already tested. Results of the studies hitherto performed with similar products may be a useful tool to determine the extent of further pre-clinical and clinical testing. This paper suggests a workflow design aimed to support such an approach including methods for information collection, assessment of research reliability, extraction of structured information about trials and meta-analysis. Additionally, the paper contains a discussion of the issues emering during development of an integrated software system that implements the proposed workflow. AU - Suvorov, R. AU - Smirnov, I. AU - Popov, K. AU - Yarygin, N. AU - Yarygin, K. C3 - 4th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2015), 10-12 Jan. 2015 DA - 2015 KW - Biotechnology data mining decision making information retrieval learning (artificial intelligence) medical information systems Medicine patient care risk analysis PB - INSTICC Press PY - 2015 SP - 343-7 ST - Assessment of the extent of the necessary clinical testing of new biotechnological products based on the analysis of scientific publications and clinical trials reports T3 - 4th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2015). Proceedings TI - Assessment of the extent of the necessary clinical testing of new biotechnological products based on the analysis of scientific publications and clinical trials reports VL - vol.2 ID - 1520 ER - TY - JOUR AU - Hussey, Peter S. AU - Wertheimer, Samuel AU - Mehrotra, Ateev DA - 2013 DP - Google Scholar IS - 1 L1 - internal-pdf://2003980519/Hussey-2013-The association between health car.pdf PY - 2013 SP - 27-34 ST - The association between health care quality and cost T2 - Annals of internal medicine TI - The association between health care quality and cost: a systematic review UR - http://annals.org/article.aspx?articleid=1487781 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863949/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863949/pdf/nihms585902.pdf VL - 158 Y2 - 2016/09/24/15:39:54 ID - 2381 ER - TY - JOUR AB - Benzodiazepines (BZDs) are some of the most commonly prescribed drugs in the world. It has been shown that BZD use could be associated with increased fracture risk. However, studies on the use of BZDs and fracture risk have yielded inconsistent results. Results from the present meta-analysis show that BZD use is associated with a moderate and clinically significant increase in the risk of fractures. INTRODUCTION: The relationship between the use of BZDs and fracture risk has been neither well identified nor summarized. This meta-analysis reports on the use of BZDs, especially short-acting BZDs, and their correlation with a moderate and clinically significant increase in fracture risk. This analysis will provide evidence for clinicians to consider fracture risk when prescribing BZDs among the elderly population. This study was conducted to determine whether people who take BZDs are at an increased fracture risk. METHODS: A systematic search of studies published through January 2013 was conducted using MEDLINE, EMBASE, OVID, and ScienceDirect. Case-control and cohort studies that assessed the relationship between BZD use and the risk of fractures were identified. Literature searches, study selections, methodological assessments, and data mining were independently conducted by two reviewers. Disagreements were resolved by consensus. STATA 12.0 software was used for the meta-analysis. Random effects models were used for pooled analysis due to heterogeneity among the studies. RESULTS: There were 25 studies, including 19 case-control studies and 6 cohort studies, that met the inclusion criteria. Overall, the results of the meta-analysis indicated that BZD use was associated with a significantly increased fracture risk (relative risk (RR) = 1.25; 95% confidence intervals (CI), 1.17-1.34; p < 0.001). Increased fracture risk associated with BZD use was observed in participants aged >/=65 years old (RR = 1.26; 95% CI, 1.15-1.38; p < 0.001). When only hip fractures were included as the outcome measure, the RR increased to 1.35. However, subgroup meta-analyses showed that there was no significant association between BZD use and fracture risk in Eastern countries (RR = 1.27; 95% CI, 0.76-2.14; p = 0.362) as well as between long-acting BZD use and risk of fractures (RR = 1.21; 95% CI, 0.95-1.54; p = 0.12). After accounting for publication bias, we observed that the overall association between BZD use and fracture risk to be slightly weaker (RR = 1.21; 95% CI, 1.13-1.30) but still significant. CONCLUSION: The results of this meta-analysis demonstrate that the use of BZD, especially short-acting BZD, is associated with a moderate and clinically significant increase in fracture risk. However, large prospective studies that minimize selection bias are necessary to determine a more accurate fracture risk associated with BZD use. AU - Xing, D. AU - Ma, X. L. AU - Ma, J. X. AU - Wang, J. AU - Yang, Y. AU - Chen, Y. DA - 2014/01//undefined DO - 10.1007/s00198-013-2446-y IS - 1 J2 - Osteoporos Int KW - Aged Benzodiazepines/*adverse effects Case-Control Studies Cohort Studies Humans Osteoporotic Fractures/*chemically induced/epidemiology Psychotropic Drugs/*adverse effects Research Design Risk Assessment/methods LA - eng PY - 2014 SN - 1433-2965 0937-941X SP - 105-120 ST - Association between use of benzodiazepines and risk of fractures: a meta-analysis T2 - Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA TI - Association between use of benzodiazepines and risk of fractures: a meta-analysis VL - 25 ID - 29 ER - TY - CONF AB - This article is about next generation knowledge management technologies. The original approach was to externalize the tacit knowledge of human beings. Store the externalized content, mainly text or data based documents, later multimedia contents. Handle these documents in different data bases, together with their metadata. The new associative data models will be able to handle the stored content units without knowing the internal structure of the data base. Search functions can also step closer to the human way of recalling our existing, previously internalised knowledge from our brain. In this paper the scope and goals of association management are discussed as a new feature in knowledge management systems. AU - Torok, M. AU - Kosa, Z. C3 - 2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 22-24 Jan. 2015 DA - 2015 DO - 10.1109/SAMI.2015.7061893 KW - data mining Knowledge management meta data text analysis PB - IEEE PY - 2015 SP - 301-6 ST - Association in knowledge management technologies T3 - 2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI). Proceedings TI - Association in knowledge management technologies UR - http://dx.doi.org/10.1109/SAMI.2015.7061893 ID - 1270 ER - TY - JOUR AB - Published genome-wide association studies (GWASs) have identified few variants in the known biological pathways involved in lung cancer etiology. To mine the possibly hidden causal single nucleotide polymorphisms (SNPs), we explored all SNPs in the extrinsic apoptosis pathway from our published GWAS dataset for 1154 lung cancer cases and 1137 cancer-free controls. In an initial association analysis of 611 tagSNPs in 41 apoptosis-related genes, we identified only 10 tagSNPs associated with lung cancer risk with a P value < 10(-2), including four tagSNPs in DAPK1 and three tagSNPs in TNFSF8. Unlike DAPK1 SNPs, TNFSF8 rs2181033 tagged other four predicted functional but untyped SNPs (rs776576, rs776577, rs31813148 and rs2075533) in the promoter region. Therefore, we further tested binding affinity of these four SNPs by performing the electrophoretic mobility shift assay. We found that only rs2075533T allele modified levels of nuclear proteins bound to DNA, leading to significantly decreased expression of luciferase reporter constructs by 5- to -10-fold in H1299, HeLa and HCT116 cell lines compared with the C allele. We also performed a replication study of the untyped rs2075533 in an independent Texas population but did not confirm the protective effect. We further performed a mini meta-analysis for SNPs of TNFSF8 obtained from other four published lung cancer GWASs with 12 214 cases and 47 721 controls, and we found that only rs3181366 (r(2) = 0.69 with the untyped rs2075533) was associated to lung cancer risk (P = 0.008). Our findings suggest a possible role of novel TNFSF8 variants in susceptibility to lung cancer. AU - Wei, Sheng AU - Niu, Jiangong AU - Zhao, Hui AU - Liu, Zhensheng AU - Wang, Li- E. AU - Han, Younghun AU - Chen, Wei V. AU - Amos, Christopher I. AU - Rafnar, Thorunn AU - Sulem, Patrick AU - Stefansson, Kari AU - Landi, Maria T. AU - Caporaso, Neil E. AU - Albanes, Demetrius AU - Thun, Michael J. AU - McKay, James D. AU - Brennan, Paul AU - Wang, Yufei AU - Houlston, Richard S. AU - Spitz, Margaret R. AU - Wei, Qingyi DA - 2011/04// DO - 10.1093/carcin/bgr014 IS - 4 PY - 2011 SN - 0143-3334 SP - 507-515 ST - Association of a novel functional promoter variant (rs2075533 C > T) in the apoptosis gene TNFSF8 with risk of lung cancer-a finding from Texas lung cancer genome-wide association study T2 - Carcinogenesis TI - Association of a novel functional promoter variant (rs2075533 C > T) in the apoptosis gene TNFSF8 with risk of lung cancer-a finding from Texas lung cancer genome-wide association study VL - 32 ID - 1984 ER - TY - JOUR AU - Perez-Iratxeta, Carolina AU - Bork, Peer AU - Andrade, Miguel A. DA - 2002 DP - Google Scholar IS - 3 L1 - https://pdfs.semanticscholar.org/2e98/153042231dea953c8c55310ef01dce83ce7d.pdf PY - 2002 SP - 316-319 ST - Association of genes to genetically inherited diseases using data mining T2 - Nature genetics TI - Association of genes to genetically inherited diseases using data mining UR - http://www.nature.com/ng/journal/v31/n3/full/ng895.html http://status.nature.com/ VL - 31 Y2 - 2016/09/24/16:07:04 ID - 2432 ER - TY - JOUR AB - In the past few years, the role of long noncoding RNAs (lncRNAs) in tumor development and progression has been disclosed although their mechanisms of action remain to be elucidated. An important contribution to the comprehension of lncRNAs biology in cancer could be obtained through the integrated analysis of multiple expression datasets. However, the growing availability of public datasets requires new data mining techniques to integrate and describe relationship among data. In this perspective, we explored the powerness of the Association Rule Mining (ARM) approach in gene expression data analysis. By the ARM method, we performed a meta-analysis of cancer-related microarray data which allowed us to identify and characterize a set of ten lncRNAs simultaneously altered in different brain tumor datasets. The expression profiles of the ten lncRNAs appeared to be sufficient to distinguish between cancer and normal tissues. A further characterization of this lncRNAs signature through a comodulation expression analysis suggested that biological processes specific of the nervous system could be compromised. AU - Cremaschi, Paolo AU - Carriero, Roberta AU - Astrologo, Stefania AU - Coli, Caterina AU - Lisa, Antonella AU - Parolo, Silvia AU - Bione, Silvia DA - 2015 DO - 10.1155/2015/146250 J2 - Biomed Res Int KW - Algorithms Base Sequence Brain Neoplasms/*genetics Databases, Genetic Data Mining/*methods Gene Expression Profiling/*methods Genetic Association Studies/*methods Genetic Markers/genetics History, Medieval Humans Molecular Sequence Data RNA, Long Noncoding/*genetics RNA, Neoplasm/*genetics L1 - internal-pdf://1007277217/Cremaschi-2015-An Association Rule Mining Appr.pdf LA - eng PY - 2015 SN - 2314-6141 SP - 146250 ST - An Association Rule Mining Approach to Discover lncRNAs Expression Patterns in Cancer Datasets T2 - BioMed research international TI - An Association Rule Mining Approach to Discover lncRNAs Expression Patterns in Cancer Datasets UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530207/pdf/BMRI2015-146250.pdf VL - 2015 ID - 161 ER - TY - CONF AB - Spatial distribution pattern is an arrangement of two or more spatial objects according to some spatial relations, such as spatial direction, topological and distance relations. In the real world, spatial objects and spatial distribution pattern all vary continuously along the time-line. Traditional spatial and non-spatial data dissevers this continuous spatio-temporal process. Under analyzing relations among spatial object, its attributes and spatial distribution pattern, we brought meta-spatio-temporal process, spatio-temporal process and spatial distribution pattern spatio-temporal process. Rainfall in Eastern China has a typical spatial distribution pattern, being composed of the northern rain area and the southern rain area. Through constructing spatio-temporal process transactions, the association rules can be extracted from spatiotemporal process data set by the Apriori algorithm. The result of the spatio-temporal process association rule mining is consistent with the analysis of the theory. Finally, it is concluded that the spatio-temporal process can describe change of a spatial object in a defined time range, and change trend of one entity can be forecasted through varying trend of others based on the valuable spatio-temporal process association rules. AU - Zhang, Xuewu AU - Su, Fenzhen AU - Shi, Yishao AU - He, Yawen C3 - International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 28-30 Dec. 2008 DA - 2008 DO - 10.1117/12.815880 KW - data mining Geographic information systems temporal databases visual databases PB - SPIE - The International Society for Optical Engineering PY - 2008 SN - 0277-786X SP - 72853Z-(10 pp.) ST - Association rule mining based on spatio-temporal processes of spatial distribution patterns T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE - Int. Soc. Opt. Eng. (USA) TI - Association rule mining based on spatio-temporal processes of spatial distribution patterns UR - http://dx.doi.org/10.1117/12.815880 VL - 7285 ID - 1483 ER - TY - JOUR AB - In the subsided areas backfilled with coal gangue, an issue of continuing environmental concern is the migration of hazardous metals to the subsurface soil and groundwater. As an effective isolation material, geosynthetics have been scarcely applied into mining areas reclamation of China. This paper describes research aimed at characterizing the behaviours of different geosynthetics in the leaching columns filled with coal gangues. Four types of geosynthetics were selected: fibres needle-punched nonwoven geotextiles, high-density polyethylene, needle-punched Na-bentonite geosynthetic clay liner (GCL-NP) and Na-bentonite geosynthetic-overbited film. Heavy metals were significantly attenuated and by monitoring aqueous solutions in the whole percolation period, negative correlation was found between pH value and concentration of heavy metals. Generally, GCL-NP showed comparatively better effects on attenuating the migration of heavy metals. According to the meta-analysis of heavy metals present in the leachates and retained in the columns, geosynthetics have good capabilities of sorption and retardation, which can delay the breakthrough time of heavy metals and retard the accumulation in the subsurface. Future research will use X-ray diffraction and micro-imaging (electron microprobe and scanning electron microscopy) to further explain retention mechanisms. AU - Ping, Wang AU - Zhenqi, Hu AU - Peijun, Wang DA - 2013 DO - 10.1080/09593330.2013.796004 IS - 20 J2 - Environmental Technology KW - Coal leaching Recycling Scanning electron microscopy waste handling PY - 2013 SN - 0959-3330 SP - 2893-9 ST - Attenuation of heavy metals by geosynthetics in the coal gangue-filled columns T2 - Environmental Technology TI - Attenuation of heavy metals by geosynthetics in the coal gangue-filled columns UR - http://dx.doi.org/10.1080/09593330.2013.796004 VL - 34 ID - 1453 ER - TY - CONF AB - The combination and decomposition of database are two important problems in knowledge discovery and data mining, and their mathematic model are the combination and decomposition of information tables. In this paper, by giving the definitions of object-combined formal contexts and attribute-combined formal contexts, we discuss the relationship of attribute characteristic between object-combined formal contexts and the original formal contexts, attribute-combined formal contexts and the original formal contexts, respectively. 2012 IEEE. AU - Shao, Mingwen AU - Liu, Min AU - Hao, Jinghua C3 - 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012, October 30, 2012 - November 1, 2012 DA - 2012 DO - 10.1109/CCIS.2012.6664389 KW - cloud computing Formal concept analysis Information analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 164-169 ST - Attribute characteristics of combined formal contexts T3 - Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 TI - Attribute characteristics of combined formal contexts UR - http://dx.doi.org/10.1109/CCIS.2012.6664389 VL - 1 ID - 813 ER - TY - CONF AB - MDX is a language that expresses selections, calculations, and some metadata definitions against an Online Analytical Processing (OLAP) database. As the user interface with OLAP, the MDX complier is a major component of the OLAP analysis server. This paper addresses the system design of MDX compiler via the ADD method, meaning that system requirements, including functional and quality requirements and constraints, are considered as drivers in the design process. The output architecture satisfies not only that the functional requirements but also the important qualities the system must possess. AU - Pingjian, Zhang AU - Jianqing, Xi C3 - 2008 International Conference on Computer Science and Software Engineering (CSSE 2008), 12-14 Dec. 2008 DA - 2008 DO - 10.1109/CSSE.2008.685 KW - data mining formal specification meta data Program compilers Query languages software architecture software quality PB - IEEE PY - 2008 SP - 508-11 ST - Attribute-driven design of MDX compiler T3 - 2008 International Conference on Computer Science and Software Engineering (CSSE 2008) TI - Attribute-driven design of MDX compiler UR - http://dx.doi.org/10.1109/CSSE.2008.685 VL - vol.2 ID - 1092 ER - TY - CONF AB - Adversaries host drive-by downloads on the legitimate websites by taking advantage of the vulnerabilities in web servers and web applications. In this paper, we analyze the spread of malware based on an event with huge crowd attention, the news of Osama Bin Laden's death. We performed similarity analysis on the malware samples collected in the campaign of the Osama Bin Laden's death, known most lethal malware, and widely known banking Trojans to analyze the relationship of these samples. We performed meta-searches to access the websites related to the targeted event and identified the malicious websites by validating using the Google Safe Browsing. We performed web crawling, link analysis and link visualization using geo location tools on the identified malicious webpages to assess the characteristics of the cyber-incident. We correlated the geographical location of the hosted malicious webpages with the number of tweets originated from a geographical location to identify the trends that the attackers follow in targeting the legitimate websites. We crawled all the malicious webpages reported in the month of May, 2011 and performed dynamic content extraction. We performed topic modeling on the extracted content and depicted the topics that the attackers targeted during May, 2011. In this paper, we present the attack vectors chosen by the attackers for targeting the legitimate websites and the malware that spread based on the campaign of the Osama Bin Laden's death were similar to the previously known malwares. AU - Cherukuri, Manoj AU - Mukkamala, Srinivas C3 - 7th International Conference on Information Warfare and Security, ICIW 2012, March 22, 2012 - March 23, 2012 DA - 2012 KW - Bins Computer crime information retrieval systems Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Curran Associates Inc. PY - 2012 SP - 82-89 ST - Attribution of drive-by downloads involved in osama's death malware campaign T3 - 7th International Conference on Information Warfare and Security, ICIW 2012 TI - Attribution of drive-by downloads involved in osama's death malware campaign ID - 674 ER - TY - CONF AB - This paper presents a video see-through, augmented reality technique using smartphones and multi-touch tablets to support conceptual analysis of as-built structures. Drawing from immediate-mode object and feature detection, sketch-based modeling, data mining, simulation and fusion, a broad range of location, context and content specific meta-data, can be interactively augmented on top of structures, turning the mobile device into a magic lens that can be freely applied to conceptually explore structures and their performance under simulated loading conditions. AU - Ge, L. AU - Kuester, F. C3 - 10th U.S. National Conference on Earthquake Engineering: Frontiers of Earthquake Engineering, NCEE 2014, July 21, 2014 - July 25, 2014 DA - 2014 DO - 10.4231/D3319S353 KW - Augmented reality data mining Earthquakes Engineering geology Loading Mobile devices Structures (built objects) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Earthquake Engineering Research Institute PY - 2014 SP - Computers-and Structures Inc. (CSI); ConocoPhillips; et al.; Federal Emergency Management Agency (FEMA); Golder Associates; State of Alaska, Division of Geological and Geophysical Surveys (DGGS) ST - Augmented reality based exploration of structures T3 - NCEE 2014 - 10th U.S. National Conference on Earthquake Engineering: Frontiers of Earthquake Engineering TI - Augmented reality based exploration of structures UR - http://dx.doi.org/10.4231/D3319S353 ID - 973 ER - TY - CONF AB - Social Multimedia computing is a new approach which combines the contextual information available in the social networks with available multimedia content to achieve greater accuracy in traditional multimedia problems like face and landmark recognition. Tian et al.[12] introduce this concept and suggest various fields where this approach yields significant benefits. In this paper, this approach has been applied to the landmark recognition problem. The dataset of flickr.com was used to select a set of images for a given landmark. Then image processing techniques were applied on the images and text mining techniques were applied on the accompanying social metadata to determine independent rankings. These rankings were combined using models similar to meta search engines to develop an improved integrated ranking system. Experiments have shown that the recombination approach gives better results than the separate analysis. 2011 Springer-Verlag Berlin Heidelberg. AU - Mahapatra, Amogh AU - Wan, Xin AU - Tian, Yonghong AU - Srivastava, Jaideep C3 - 17th Multimedia Modeling Conference, MMM 2011, January 5, 2011 - January 7, 2011 DA - 2011 DO - 10.1007/978-3-642-17832-0_26 KW - face recognition Imaging systems Metadata Search Engines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2011 SN - 03029743 SP - 273-283 ST - Augmenting image processing with social tag mining for landmark recognition T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Augmenting image processing with social tag mining for landmark recognition UR - http://dx.doi.org/10.1007/978-3-642-17832-0_26 VL - 6523 LNCS ID - 1283 ER - TY - CONF AB - With the popularity of the World Wide Web and the recognition of its worthiness of being archived we find numerous projects aiming at creating large-scale repositories containing excerpts and snapshots of Web data. Interfaces are being created that allow users to surf through time, analyzing the evolution of Web pages, or retrieving information using search interfaces. Yet, with the timeline and metadata available in such a Web archive, additional analysis that goes beyond mere information exploration, become possible. We present the AOLAP project building a data warehouse of such a Web archive, allowing its analysis and exploration from different points of view using OLAP technologies. Specifically, technological aspects such as operating systems and Web servers used, geographic location, and Web technology such as the use of file types, forms or scripting languages, may be used to infer e.g. technology maturation or impact. AU - Rauber, A. AU - Aschenbrenner, A. AU - Witvoet, O. C3 - Research and Advanced Technology for Digital Libraries. 6th European Conference, ECDL 2002. Proceedings, 16-18 Sept. 2002 DA - 2002 KW - data mining Data warehouses information retrieval Internet meta data operating systems (computers) Search Engines PB - Springer-Verlag PY - 2002 SP - 16-31 ST - Austrian Online Archive Processing: analyzing archives of the World Wide Web T3 - Research and Advanced Technology for Digital Libraries. 6th European Conference, ECDL 2002. Proceedings (Lecture Notes in Computer Science Vol.2458) TI - Austrian Online Archive Processing: analyzing archives of the World Wide Web ID - 1094 ER - TY - CONF AB - This paper presents the concept and design of an authoring system for creating and building an application program for an ebook package, or an ebook portfolio, that would include metadata, meta-content, and other related materials and resources that are stored in a dedicated database. This system is basically a digitization process of the different phase of ebook authoring and development, as well as a structure collection of various type of content and information in a form of hypertext documents, multimedia, and presentations. Although this authoring system has been designed with academic books in mind, it is very suitable for any type of documentation or eContent such as articles, papers, reports, and presentations. This approach of ebook and econtent authoring and development is very useful for online search, manipulation, indexing, distribution and even marketing. Based on the proposed content structured content, Web content can be easily and reliably accessible for search and information retrieval. Furthermore, Natural Language Processing techniques such as text mining, indexing, tagging, information retrieval for online content document processing would be implemented more reliable and efficiently. Overall concepts and design of the authoring system approach is presented in this paper with the different phases involved. AU - Menacer, M. AU - Arbaoui, A. C3 - 2013 Third International Conference on Innovative Computing Technology (INTECH), 29-31 Aug. 2013 DA - 2013 DO - 10.1109/INTECH.2013.6653657 KW - authoring systems Content Management data mining hypermedia indexing information retrieval Internet meta data multimedia computing natural language processing text analysis PB - IEEE PY - 2013 SP - 162-5 ST - Authoring system concept and design for ebook digitization process for efficient online eContent documentation, search, and distribution T3 - Third International Conference on Innovative Computing Technology (INTECH 2013) TI - Authoring system concept and design for ebook digitization process for efficient online eContent documentation, search, and distribution UR - http://dx.doi.org/10.1109/INTECH.2013.6653657 ID - 1259 ER - TY - JOUR AB - According to the characteristics of the rules change over time,it establishes the change trend analysis and forecasting model about support and confidence of the meta -association rule.By increasing the support and confidence vector evaluation of the rules,it gives the dynamic association rules of Meta-association formal definition.Using auto-regression Markov model of mining dynamic association rules of meta-association rules,it proves the effectiveness of this method. AU - Zhang, Zhong-lin AU - Liu, Jun AU - Xie, Yan-feng DA - 2010/05// DO - 10.3778/j.issn.1002-8331.2010.14.040 IS - 14 J2 - Computer Engineering and Applications KW - autoregressive processes data mining Markov processes meta data PY - 2010 SN - 1002-8331 SP - 135-7 ST - Auto-regression Markov model application in mining of dynamic association rule T2 - Computer Engineering and Applications TI - Auto-regression Markov model application in mining of dynamic association rule UR - http://dx.doi.org/10.3778/j.issn.1002-8331.2010.14.040 VL - 46 ID - 1618 ER - TY - RPRT AB - AutoMap is an advanced text mining system. It operates in 4 modes. First, it can do classical content analysis; i.e. concepts and their frequency. Second, it extracts the semantic network; i.e. concepts and their relation to each other. Third, it cross classifies the concepts into their ontological categories such as agents and locations which results in meta-network. This includes, e.g. the social network. Fourth, it utilizes post processing to infer various aspects of sentiment. AU - Carley, K. M. AU - Columbus, D. AU - Azoulay, A. CY - United States DA - 2012/06// KW - data mining Network analysis(Management) Semantics User manuals N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 2012 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 256p ST - AutoMap User's Guide 2012 TI - AutoMap User's Guide 2012 ID - 1273 ER - TY - RPRT AB - AutoMap is an advanced text mining system. It operates in 4 modes. First, it can do classical content analysis; i.e. concepts and their frequency. Second, it extracts the semantic network; i.e. concepts and their relation to each other. Third, it cross classifies the concepts into their ontological categories such as agents and locations which results in meta-network. This includes, e.g. the social network. Fourth, it utilizes post processing to infer various aspects of sentiment. AU - Carley, K. M. AU - Columbus, D. AU - Landwehr, P. CY - United States DA - 2013/06// KW - Coding data mining Frequency Networks Processing Semantics N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 2013 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 227p ST - Automap User's Guide 2013 TI - Automap User's Guide 2013 ID - 1279 ER - TY - CONF AB - A worthy goal for the structural health monitoring field is the creation of a scalable monitoring system architecture that abstracts many of the system details (e.g., sensors, data) from the structure owner with the aim of providing ldquoactionablerdquo information that aids in their decision making process. While a broad array of sensor technologies have emerged, the ability for sensing systems to generate large amounts of data have far outpaced advances in data management and processing. To reverse this trend, this study explores the creation of a cyber-enabled wireless SHM system for highway bridges. The system is designed from the top down by considering the damage mechanisms of concern to bridge owners and then tailoring the sensing and decision support system around those concerns. The enabling element of the proposed system is a powerful data repository system termed SenStore. SenStore is designed to combine sensor data with bridge meta-data (e.g, geometric configuration, material properties, maintenance history, sensor locations, sensor types, inspection history). A wireless sensor network deployed to a bridge autonomously streams its measurement data to SenStore via a 3G cellular connection for storage. SenStore securely exposes the bridge meta- and sensor data to software clients that can process the data to extract information relevant to the decision making process of the bridge owner. To validate the proposed cyber-enable SHM system, the system is implemented on the Telegraph Road Bridge (Monroe, MI). The Telegraph Road Bridge is a traditional steel girder-concrete deck composite bridge located along a heavily travelled corridor in the Detroit metropolitan area. A permanent wireless sensor network has been installed to measure bridge accelerations, strains and temperatures. System identification and damage detection algorithms are created to automatically mine bridge response data stored in SenStore over an 18-month period. Tools like Gaussian Process (GP) regression are used to predict changes in the bridge behavior as a function of environmental parameters. Based on these analyses, pertinent behavioral information relevant to bridge management is autonomously extracted. AU - O'Connor, S. M. AU - Yilan, Zhang AU - Lynch, J. AU - Ettouney, M. AU - van der Linden, G. C3 - Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2014, 9 March 2014 DA - 2014 DO - 10.1117/12.2045244 KW - 3G mobile communication bridges (structures) condition monitoring Design engineering Gaussian processes Inspection maintenance engineering Regression Analysis structural engineering computing Wireless sensor networks PB - SPIE - The International Society for Optical Engineering PY - 2014 SN - 0277-786X SP - 90630Y-(11 pp.) ST - Automated analysis of long-term bridge behavior and health using a cyber-enabled wireless monitoring system T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE, Int. Soc. Opt. Eng. (USA) TI - Automated analysis of long-term bridge behavior and health using a cyber-enabled wireless monitoring system UR - http://dx.doi.org/10.1117/12.2045244 VL - 9063 ID - 1384 ER - TY - CONF AB - A worthy goal for the structural health monitoring field is the creation of a scalable monitoring system architecture that abstracts many of the system details (e.g., sensors, data) from the structure owner with the aim of providing actionablea information that aids in their decision making process. While a broad array of sensor technologies have emerged, the ability for sensing systems to generate large amounts of data have far outpaced advances in data management and processing. To reverse this trend, this study explores the creation of a cyber-enabled wireless SHM system for highway bridges. The system is designed from the top down by considering the damage mechanisms of concern to bridge owners and then tailoring the sensing and decision support system around those concerns. The enabling element of the proposed system is a powerful data repository system termed SenStore. SenStore is designed to combine sensor data with bridge meta-data (e.g., geometric configuration, material properties, maintenance history, sensor locations, sensor types, inspection history). A wireless sensor network deployed to a bridge autonomously streams its measurement data to SenStore via a 3G cellular connection for storage. SenStore securely exposes the bridge meta- and sensor data to software clients that can process the data to extract information relevant to the decision making process of the bridge owner. To validate the proposed cyber-enable SHM system, the system is implemented on the Telegraph Road Bridge (Monroe, MI). The Telegraph Road Bridge is a traditional steel girder-concrete deck composite bridge located along a heavily travelled corridor in the Detroit metropolitan area. A permanent wireless sensor network has been installed to measure bridge accelerations, strains and temperatures. System identification and damage detection algorithms are created to automatically mine bridge response data stored in SenStore over an 18-month period. Tools like Gaussian Process (GP) regression are used to predict changes in the bridge behavior as a function of environmental parameters. Based on these analyses, pertinent behavioral information relevant to bridge management is autonomously extracted. 2014 SPIE. AU - O'Connor, Sean M. AU - Zhang, Yilan AU - Lynch, Jerome AU - Ettouney, Mohammed AU - Van Der Linden, Gwen C3 - Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2014, March 10, 2014 - March 13, 2014 DA - 2014 DO - 10.1117/12.2045244 KW - Aerospace engineering artificial intelligence Composite materials Damage detection decision making Decision support systems Digital storage Highway bridges Information Management Monitoring national security Nondestructive examination Roads and streets Scalability Security systems Sensors Structural health monitoring Telegraph Wireless sensor networks N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SPIE PY - 2014 SN - 0277786X SP - American-Society of Mechanical Engineers; The Society of Photo-Optical Instrumentation Engineers (SPIE) ST - Automated analysis of long-term bridge behavior and health using a cyber-enabled wireless monitoring system T3 - Proceedings of SPIE - The International Society for Optical Engineering TI - Automated analysis of long-term bridge behavior and health using a cyber-enabled wireless monitoring system UR - http://dx.doi.org/10.1117/12.2045244 VL - 9063 ID - 974 ER - TY - JOUR AB - Identifying the experimental methods in human neuroimaging papers is important for grouping meaningfully similar experiments for meta-analyses. Currently, this can only be done by human readers. We present the performance of common machine learning (text mining) methods applied to the problem of automatically classifying or labeling this literature. Labeling terms are from the Cognitive Paradigm Ontology (CogPO), the text corpora are abstracts of published functional neuroimaging papers, and the methods use the performance of a human expert as training data. We aim to replicate the expert's annotation of multiple labels per abstract identifying the experimental stimuli, cognitive paradigms, response types, and other relevant dimensions of the experiments. We use several standard machine learning methods: naive Bayes (NB), k-nearest neighbor, and support vector machines (specifically SMO or sequential minimal optimization). Exact match performance ranged from only 15% in the worst cases to 78% in the best cases. NB methods combined with binary relevance transformations performed strongly and were robust to overfitting. This collection of results demonstrates what can be achieved with off-the-shelf software components and little to no pre-processing of raw text. AU - Turner, Matthew D. AU - Chakrabarti, Chayan AU - Jones, Thomas B. AU - Xu, Jiawei F. AU - Fox, Peter T. AU - Luger, George F. AU - Laird, Angela R. AU - Turner, Jessica A. DA - 2013 DO - 10.3389/fnins.2013.00240 J2 - Front Neurosci KW - annotations bioinformatics CogPO data mining multi-label classification neuroimaging text mining LA - eng PY - 2013 SN - 1662-4548 1662-453X SP - 240 ST - Automated annotation of functional imaging experiments via multi-label classification T2 - Frontiers in neuroscience TI - Automated annotation of functional imaging experiments via multi-label classification VL - 7 ID - 227 ER - TY - JOUR AB - OBJECTIVE: For many literature review tasks, including systematic review (SR) and other aspects of evidence-based medicine, it is important to know whether an article describes a randomized controlled trial (RCT). Current manual annotation is not complete or flexible enough for the SR process. In this work, highly accurate machine learning predictive models were built that include confidence predictions of whether an article is an RCT. MATERIALS AND METHODS: The LibSVM classifier was used with forward selection of potential feature sets on a large human-related subset of MEDLINE to create a classification model requiring only the citation, abstract, and MeSH terms for each article. RESULTS: The model achieved an area under the receiver operating characteristic curve of 0.973 and mean squared error of 0.013 on the held out year 2011 data. Accurate confidence estimates were confirmed on a manually reviewed set of test articles. A second model not requiring MeSH terms was also created, and performs almost as well. DISCUSSION: Both models accurately rank and predict article RCT confidence. Using the model and the manually reviewed samples, it is estimated that about 8000 (3%) additional RCTs can be identified in MEDLINE, and that 5% of articles tagged as RCTs in Medline may not be identified. CONCLUSION: Retagging human-related studies with a continuously valued RCT confidence is potentially more useful for article ranking and review than a simple yes/no prediction. The automated RCT tagging tool should offer significant savings of time and effort during the process of writing SRs, and is a key component of a multistep text mining pipeline that we are building to streamline SR workflow. In addition, the model may be useful for identifying errors in MEDLINE publication types. The RCT confidence predictions described here have been made available to users as a web service with a user query form front end at: http://arrowsmith.psych.uic.edu/cgi-bin/arrowsmith_uic/RCT_Tagger.cgi. AU - Cohen, Aaron M. AU - Smalheiser, Neil R. AU - McDonagh, Marian S. AU - Yu, Clement AU - Adams, Clive E. AU - Davis, John M. AU - Yu, Philip S. DA - 2015/05//undefined DO - 10.1093/jamia/ocu025 IS - 3 J2 - J Am Med Inform Assoc KW - *Artificial Intelligence *Randomized Controlled Trials as Topic *Review Literature as Topic *Support Vector Machine Evidence-Based Medicine Humans information retrieval Information Storage and Retrieval/*methods Medline natural language processing Randomized Controlled Trials as Topic ROC Curve Support Vector Machines systematic reviews L1 - internal-pdf://1319041805/Cohen-2015-Automated confidence ranked classif.pdf LA - eng PY - 2015 SN - 1527-974X 1067-5027 SP - 707-717 ST - Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine T2 - Journal of the American Medical Informatics Association : JAMIA TI - Automated confidence ranked classification of randomized controlled trial articles: an aid to evidence-based medicine UR - http://jamia.oxfordjournals.org/content/jaminfo/22/3/707.full.pdf VL - 22 ID - 229 ER - TY - JOUR AB - A fuzzy rule-based decision support system (DSS) is presented for the diagnosis of coronary artery disease (CAD). The system is automatically generated from an initial annotated dataset, using a four stage methodology: 1) induction of a decision tree from the data; 2) extraction of a set of rules from the decision tree, in disjunctive normal form and formulation of a crisp model; 3) transformation of the crisp set of rules into a fuzzy model; and 4) optimization of the parameters of the fuzzy model. The dataset used for the DSS generation and evaluation consists of 199 subjects, each one characterized by 19 features, including demographic and history data, as well as laboratory examinations. Tenfold cross validation is employed, and the average sensitivity and specificity obtained is 62% and 54%, respectively, using the set of rules extracted from the decision tree (first and second stages), while the average sensitivity and specificity increase to 80% and 65%, respectively, when the fuzzification and optimization stages are used. The system offers several advantages since it is automatically generated, it provides CAD diagnosis based on easily and noninvasively acquired features, and is able to provide interpretation for the decisions made. AU - Tsipouras, Markos G. AU - Exarchos, Themis P. AU - Fotiadis, Dimitrios I. AU - Kotsia, Anna P. AU - Vakalis, Konstantinos V. AU - Naka, Katerina K. AU - Michalis, Lampros K. DA - 2008/07// DO - 10.1109/TITB.2007.907985 IS - 4 PY - 2008 SN - 1089-7771 SP - 447-458 ST - Automated diagnosis of coronary artery disease based on data mining and fuzzy modeling T2 - Ieee Transactions on Information Technology in Biomedicine TI - Automated diagnosis of coronary artery disease based on data mining and fuzzy modeling VL - 12 ID - 2031 ER - TY - CONF AB - Patient-specific dosimetry calculations based on simulation techniques have as a prerequisite the modeling of the modality system and the creation of voxelized phantoms. This procedure requires the knowledge of scanning parameters and patients' information included in a DICOM file as well as image segmentation. However, the extraction of this information is complicated and time-consuming. The objective of this study was to develop a simple graphical user interface (GUI) to (i) automatically extract metadata from every slice image of a DICOM file in a single query and (ii) interactively specify the regions of interest (ROI) without explicit access to the radiology information system. The user-friendly application developed in Matlab environment. The user can select a series of DICOM files and manage their text and graphical data. The metadata are automatically formatted and presented to the user as a Microsoft Excel file. The volumetric maps are formed by interactively specifying the ROIs and by assigning a specific value in every ROI. The result is stored in DICOM format, for data and trend analysis. The developed GUI is easy, fast and and constitutes a very useful tool for individualized dosimetry. One of the future goals is to incorporate a remote access to a PACS server functionality. AU - Papamichail, D. AU - Ploussi, A. AU - Kordolaimi, S. AU - Karavasilis, E. AU - Papadimitroulas, P. AU - Syrgiamiotis, V. AU - Efstathopoulos, E. C3 - International Conference on Bio-Medical Instrumentation and Related Engineering and Physical Sciences (BIOMEP 2015), 18-20 June 2015 DA - 2015 DO - 10.1088/1742-6596/637/1/012022 KW - dosimetry Graphical user interfaces image segmentation mathematics computing medical image processing meta data PACS phantoms PB - IOP Publishing PY - 2015 SN - 1742-6596 SP - 012022-(4 pp.) ST - Automated DICOM metadata and volumetric anatomical information extraction for radiation dosimetry T2 - Journal of Physics: Conference Series T3 - J. Phys., Conf. Ser. (UK) TI - Automated DICOM metadata and volumetric anatomical information extraction for radiation dosimetry UR - http://dx.doi.org/10.1088/1742-6596/637/1/012022 VL - 637 ID - 1244 ER - TY - CONF AB - Large amounts of data pose special problems for knowledge discovery in databases. More efficient means are required to ease this problem, and one possibility is the use of sufficient statistics or aggregates, rather than low level data. This is especially true for knowledge discovery from distributed databases. The data of interest is of a similar type to that found in OLAP data cubes and the data warehouse. This data is numerical and is described in terms of a number of categorical attributes (dimensions). Few algorithms to date carry out knowledge discovery on such data. Using aggregate data and accompanying meta data returned from a number of distributed databases, we use statistical models to identify and highlight relationships between a single numerical attribute and a number of dimensions. These are initially presented to the user via a graphical interactive middleware, which allows drilling down to a more detailed level. On the basis of these relationships, we induce rules in conjunctive normal form. Finally, exceptions to these rules are discovered. AU - Pairceir, R. AU - McClean, S. AU - Scotney, B. C3 - Principles of Data Mining and Knowledge Discovery. Third European Conference, PKDD'99, 15-18 Sept. 1999 DA - 1999 KW - client-server systems database theory data mining Data warehouses distributed databases exception handling meta data statistical analysis PB - Springer-Verlag PY - 1999 SP - 156-64 ST - Automated discovery of rules and exceptions from distributed databases using aggregates T3 - Principles of Data Mining and Knowledge Discovery. Third European Conference, PKDD'99. Proceedings. (Lecture Notes in Artificial Intelligence Vol.1704) TI - Automated discovery of rules and exceptions from distributed databases using aggregates ID - 1300 ER - TY - JOUR AB - Both human analysts and particularly automated tool suites are capable of deriving sensitive information and conclusions from collections of data items that individually cannot be considered critical or sensitive. This activity of analysing and correlating material that is not immediately related is, in fact, highly desirable in many application areas and cannot be controlled precisely in advance. The decision whether a program or an analyst is performing searches and correlations beyond the scope of his authorisation or current mission can frequently be determined only ex post based on a heuristic analysis of documents accessed. In this paper we describe a mechanism for the instrumentation of operating systems to obtain information on the documents and resources accessed by arbitrary processes. Such a mechanism could be an important component of the infrastructure of an operational risk management system, generating an audit trail for compliance and forensic investigation, and acting as a sensor generating data for analysis. Addressing the latter application, the paper also outlines an approach for extracting textual information and metadata from accessed documents, regardless of the application program and workflow mechanisms used, without unduly impeding either workflows or operator performance. This information can then be subjected to an heuristic analysis based on natural language processing to extract the semantic context of each document or segment. Clustering this content and extracting the conceptual patterns that a user has accessed can then allow abnormal behaviour to be identified. This can then be refined further to determine heuristically whether the authorised remit of the user has been breached and whether an investigation is warranted. We argue that the risk of misbehaviour can be reduced while at the same time increasing productivity. This is made possible by enhancing the degree of freedom for individual users to act in the interest of their mission objectives and at the same time providing automated mechanisms for analysing user behaviour. AU - Wolthusen, S. D. DA - 2007/01// DO - 10.1007/s10550-007-0020-x IS - 1 J2 - BT Technology Journal KW - document handling meta data natural language processing operating systems (computers) Risk management PY - 2007 SN - 1358-3948 SP - 192-200 ST - Automated extraction of behavioural profiles from document usage T2 - BT Technology Journal TI - Automated extraction of behavioural profiles from document usage UR - http://dx.doi.org/10.1007/s10550-007-0020-x VL - 25 ID - 1068 ER - TY - JOUR AB - Randomized controlled trials are an important source of evidence for guiding clinical decisions when treating a patient. However, given the large number of studies and their variability in quality, determining how to summarize reported results and formalize them as part of practice guidelines continues to be a challenge. We have developed a set of information extraction and annotation tools to automate the identification of key information from papers related to the hypothesis, sample size, statistical test, confidence interval, significance level, and conclusions. We adapted the Automated Sequence Annotation Pipeline to map extracted phrases to relevant knowledge sources. We trained and tested our system on a corpus of 42 full-text articles related to chemotherapy of non-small cell lung cancer. On our test set of 7 papers, we obtained an overall precision of 86%, recall of 78%, and an F-score of 0.82 for classifying sentences. This work represents our efforts towards utilizing this information for quality assessment, meta-analysis, and modeling. AU - Hsu, William AU - Speier, William AU - Taira, Ricky K. DA - 2012 J2 - AMIA Annu Symp Proc KW - *Automatic Data Processing *Randomized Controlled Trials as Topic/statistics & numerical data Carcinoma, Non-Small-Cell Lung Evidence-Based Medicine Humans Information Storage and Retrieval/*methods Lung Neoplasms natural language processing Sensitivity and specificity L1 - internal-pdf://4272381786/Hsu-2012-Automated extraction of reported stat.pdf LA - eng PY - 2012 SN - 1942-597X 1559-4076 SP - 350-359 ST - Automated extraction of reported statistical analyses: towards a logical representation of clinical trial literature T2 - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium TI - Automated extraction of reported statistical analyses: towards a logical representation of clinical trial literature UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3540551/pdf/amia_2012_symp_0350.pdf VL - 2012 ID - 163 ER - TY - CONF AB - With the shift from production to information society, a parallel development has taken place in processing geoinformation. Today, the focus is often more on intelligent and complex use and analysis of existing data than on data acquisition. The tasks of users now are to find appropriate data, as well as appropriate analysis or mining methods, for their specific exploration goals. This paper first presents an integrated approach that uses metadata technology to guide users through data and method selection. Important prerequisites in the decision process are the user's correct understanding of geodata qualities and, to this end, the availability of metadata. Therefore, the core of the presented approach is then described in detail, i.e. metadata visualization and generation. The visualization part aims to make the user aware of the goal-related geodata qualities. It consists of an automated semantic level-of-detail method, using abstraction hierarchies and linked visualization functions. The underlying metadata is provided via a repository-based generator, which creates descriptive metadata by analysis and interpretation of the original geodata. Finally, an outlook over the next steps in automated support for geodata mining is given. AU - Balfanz, D. C3 - Visualization and Data Analysis 2002, 21-22 Jan. 2002 DA - 2002 DO - 10.1117/12.458797 KW - data analysis data mining data visualisation Geographic information systems meta data L1 - internal-pdf://0076065818/Balfanz-2002-Automated geodata analysis and me.pdf PB - SPIE-Int. Soc. Opt. Eng. PY - 2002 SN - 0277-786X SP - 285-95 ST - Automated geodata analysis and metadata generation T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE - Int. Soc. Opt. Eng. (USA) TI - Automated geodata analysis and metadata generation UR - http://dx.doi.org/10.1117/12.458797 http://proceedings.spiedigitallibrary.org.ezproxy.lib.vt.edu/data/Conferences/SPIEP/29609/285_1.pdf VL - 4665 ID - 1644 ER - TY - CONF AB - The number of scientific publications is constantly increasing, and the results published on Empirical Software Engineering are growing even faster. Some software engineering publishers have begun to collaborate with research groups to make available repositories of software engineering empirical data. However, these initiatives are limited due to data ownership and privacy issues. As a result, many researchers in the area have adopted systematic reviews as a mean to extract empirical evidence from published material. Systematic reviews are labor intensive and costly. In this paper, we argue that the use of Information Extraction Tools can support systematic reviews and significantly speed up the creation of repositories of SE empirical evidence. 2007 IEEE. AU - Cruzes, Daniela AU - Mendonca, Manoel AU - Basili, Victor AU - Shull, Forrest AU - Jino, Mario C3 - 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007, September 20, 2007 - September 21, 2007 DA - 2007 DO - 10.1109/ESEM.2007.26 KW - Engineering Engineering research Extraction Information analysis software engineering Technology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2007 SP - 491-493 ST - Automated Information Extraction from Empirical Software Engineering Literature: Is that possible? T3 - Proceedings - 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007 TI - Automated Information Extraction from Empirical Software Engineering Literature: Is that possible? UR - http://dx.doi.org/10.1109/ESEM.2007.26 ID - 985 ER - TY - JOUR AB - Clinical trials are one of the most valuable sources of scientific evidence for improving the practice of medicine. The Trial Bank project aims to improve structured access to trial findings by including formalized trial information into a knowledge base. Manually extracting trial information from published articles is costly, but automated information extraction techniques can assist. The current study highlights a single architecture to extract a wide array of information elements from full-text publications of randomized clinical trials (RCTs). This architecture combines a text classifier with a weak regular expression matcher. We tested this two-stage architecture on 88 RCT reports from 5 leading medical journals, extracting 23 elements of key trial information such as eligibility rules, sample size, intervention, and outcome names. Results prove this to be a promising avenue to help critical appraisers, systematic reviewers, and curators quickly identify key information elements in published RCT articles. AU - de Bruijn, Berry AU - Carini, Simona AU - Kiritchenko, Svetlana AU - Martin, Joel AU - Sim, Ida DA - 2008 J2 - AMIA Annu Symp Proc KW - *Artificial Intelligence *Manuscripts, Medical *Natural Language Processing *Randomized Controlled Trials as Topic *Research Design Abstracting and Indexing as Topic/methods Evidence-Based Medicine/*methods Information Storage and Retrieval/*methods Internationality Pattern Recognition, Automated/*methods LA - eng PY - 2008 SN - 1942-597X 1559-4076 SP - 141-145 ST - Automated information extraction of key trial design elements from clinical trial publications T2 - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium TI - Automated information extraction of key trial design elements from clinical trial publications ID - 239 ER - TY - CONF AB - Text mining methods are used in this paper to extract associations among biological objects. Transitive association methods using metadata (MeSH terms) have the potential to discover implicit associations without relying on explicit co-occurrence of objects of interest. To avoid costly manual metadata assignment and deal with missing metadata, automated metadata generation methods are described in the paper. The association knowledge extracted using automatically generated metadata is found to be as good as that that using manually assigned metadata, in terms of precision. AU - Mukhopadhyay, S. AU - Jayadevaprakash, N. C3 - 2008 22nd International Conference on Advanced Information Networking and Applications (AINA 2008), 25-28 March 2008 DA - 2008 DO - 10.1109/WAINA.2008.138 KW - biology computing data mining meta data text analysis PB - IEEE PY - 2008 SP - 708-13 ST - Automated metadata generation and its application to biological association extraction T3 - 2008 22nd International Conference on Advanced Information Networking and Applications (AINA 2008) TI - Automated metadata generation and its application to biological association extraction UR - http://dx.doi.org/10.1109/WAINA.2008.138 ID - 1436 ER - TY - JOUR AB - We present a video content analysis and metadata organizational system for research videos arising from biological microscopy of living cells. Automated procedures are described to determine the position, size, shape and orientation of cells in each video frame. From the temporal changes in the values of these simple metadata parameters, high-level descriptors are derived that describe the semantic content of the video. This content information (specific intrinsic metadata) is of high information value, since it describes the behavior of cells and the timing of events within the video, including changes in environmental conditions experienced by the cells. When such metadata are properly organized in a searchable database, a content-based video query and retrieval system may be developed to locate particular objects, events or behaviors. Moreover, the availability of such semantic contents in the formal and generic format we propose will allow the application of data mining techniques and the amassing of more elaborate knowledge, e.g., species classification depending on behavior, patterns in response to environment changes, etc. The suitability and functionality of the proposed metadata model is demonstrated by the automated analysis of five different types of biological experiments, recording epithelial wound healing, bacterial multiplication, the rotations of tethered bacteria, and the swimming of motile bacteria and of human sperm. AU - Rodriguez, A. AU - Guil, N. AU - Shotton, D. M. AU - Trelles, O. DA - 2004/02// DO - 10.1109/TMM.2003.819581 IS - 1 J2 - IEEE Transactions on Multimedia KW - content-based retrieval Content Management living systems medical image processing medical information systems meta data video databases PY - 2004 SN - 1520-9210 SP - 119-28 ST - Automatic analysis of the content of cell biological videos and database organization of their metadata descriptors T2 - IEEE Transactions on Multimedia TI - Automatic analysis of the content of cell biological videos and database organization of their metadata descriptors UR - http://dx.doi.org/10.1109/TMM.2003.819581 VL - 6 ID - 1274 ER - TY - CONF AB - In recent years, high-throughput genome sequencing and sequence analysis technologies have created the need for automated annotation and analysis of large sets of genes. The gene ontology (GO) provides a common controlled vocabulary for describing gene function however the process for annotating proteins with GO terms is usually through a tedious manual curation process by trained professional annotators. With the wealth of genomic data that are now available, there is a need for accurate automated annotation methods. In this paper, we propose a method for automatically predicting GO terms for proteins by applying statistical pattern recognition techniques. We' employ protein functional domains as features and learn independent support vector machine classifiers for each GO term. This approach creates sparse data sets with highly imbalanced class distribution. We show that these problems can be overcome with standard feature and instance selection methods. We also present a meta-learning scheme that utilizes multiple SVMs trained for each GO term, resulting in improved overall performance than either SVM can achieve alone. The implementation of the tool is available at http://fcg.tamu.edu/AAPFC. AU - Jaehec, Jung AU - Thon, M. R. C3 - Data Mining and Bioinformatics. First International Workshop, VDMB 2006. Revised Selected Papers, 11 Sept. 2006 DA - 2006 KW - biology computing feature extraction Genetics learning (artificial intelligence) pattern classification Proteins statistical analysis Support Vector Machines PB - Springer PY - 2006 SP - 65-77 ST - Automatic annotation of protein functional class from sparse and imbalanced data sets T3 - Data Mining and Bioinformatics. First International Workshop, VDMB 2006. Revised Selected Papers (Lecture Notes in Bioinformatics Vol.4316) TI - Automatic annotation of protein functional class from sparse and imbalanced data sets ID - 1065 ER - TY - JOUR AB - The following topics are discussed: data mining, meta-learning, method repositories, and software synthesis. AU - Yamaguchi, T. DA - 2002/05// IS - 5 J2 - Journal of the Society of Instrument and Control Engineers KW - data mining learning (artificial intelligence) project support environments PY - 2002 SN - 0453-4662 SP - 337-41 ST - Automatic composition of DM/ML applications T2 - Journal of the Society of Instrument and Control Engineers TI - Automatic composition of DM/ML applications VL - 41 ID - 1598 ER - TY - JOUR AB - Preparing a systematic review can take hundreds of hours to complete, but the process of reconciling different results from multiple studies is the bedrock of evidence-based medicine. We introduce a two-step approach to automatically extract three facets - two entities (the agent and object) and the way in which the entities are compared (the endpoint) - from direct comparative sentences in full-text articles. The system does not require a user to predefine entities in advance and thus can be used in domains where entity recognition is difficult or unavailable. As with a systematic review, the tabular summary produced using the automatically extracted facets shows how experimental results differ between studies. Experiments were conducted using a collection of more than 2million sentences from three journals Diabetes, Carcinogenesis and Endocrinology and two machine learning algorithms, support vector machines (SVM) and a general linear model (GLM). Finf1/inf and accuracy measures for the SVM and GLM differed by only 0.01 across all three comparison facets in a randomly selected set of test sentences. The system achieved the best performance of 92% for objects, whereas the accuracy for both agent and endpoints was 73%. Finf1/inf scores were higher for objects (0.77) than for endpoints (0.51) or agents (0.47). A situated evaluation of Metformin, a drug to treat diabetes, showed system accuracy of 95%, 83% and 79% for the object, endpoint and agent respectively. The situated evaluation had higher Finf1/inf scores of 0.88, 0.64 and 0.62 for object, endpoint, and agent respectively. On average, only 5.31% of the sentences in a full-text article are direct comparisons, but the tabular summaries suggest that these sentences provide a rich source of currently underutilized information that can be used to accelerate the systematic review process and identify gaps where future research should be focused. 2015 Elsevier Inc.. AU - Blake, Catherine AU - Lucic, Ana DA - 2015 DO - 10.1016/j.jbi.2015.05.004 J2 - Journal of Biomedical Informatics KW - artificial intelligence data mining information retrieval Learning algorithms Learning systems Support Vector Machines L1 - internal-pdf://2379086070/Blake-2015-Automatic endpoint detection to sup.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 15320464 SP - 42-56 ST - Automatic endpoint detection to support the systematic review process T2 - Journal of Biomedical Informatics TI - Automatic endpoint detection to support the systematic review process UR - http://dx.doi.org/10.1016/j.jbi.2015.05.004 http://ac.els-cdn.com/S1532046415000830/1-s2.0-S1532046415000830-main.pdf?_tid=300e5366-832e-11e6-b3d1-00000aacb35d&acdnat=1474814688_f53dfcb0bf9a79471087125e43c910d0 VL - 56 ID - 1408 ER - TY - JOUR AB - BACKGROUND: Evidence-based medicine practice requires practitioners to obtain the best available medical evidence, and appraise the quality of the evidence when making clinical decisions. Primarily due to the plethora of electronically available data from the medical literature, the manual appraisal of the quality of evidence is a time-consuming process. We present a fully automatic approach for predicting the quality of medical evidence in order to aid practitioners at point-of-care. METHODS: Our approach extracts relevant information from medical article abstracts and utilises data from a specialised corpus to apply supervised machine learning for the prediction of the quality grades. Following an in-depth analysis of the usefulness of features (e.g., publication types of articles), they are extracted from the text via rule-based approaches and from the meta-data associated with the articles, and then applied in the supervised classification model. We propose the use of a highly scalable and portable approach using a sequence of high precision classifiers, and introduce a simple evaluation metric called average error distance (AED) that simplifies the comparison of systems. We also perform elaborate human evaluations to compare the performance of our system against human judgments. RESULTS: We test and evaluate our approaches on a publicly available, specialised, annotated corpus containing 1132 evidence-based recommendations. Our rule-based approach performs exceptionally well at the automatic extraction of publication types of articles, with F-scores of up to 0.99 for high-quality publication types. For evidence quality classification, our approach obtains an accuracy of 63.84% and an AED of 0.271. The human evaluations show that the performance of our system, in terms of AED and accuracy, is comparable to the performance of humans on the same data. CONCLUSIONS: The experiments suggest that our structured text classification framework achieves evaluation results comparable to those of human performance. Our overall classification approach and evaluation technique are also highly portable and can be used for various evidence grading scales. AU - Sarker, Abeed AU - Molla, Diego AU - Paris, Cecile DA - 2015/06//undefined DO - 10.1016/j.artmed.2015.04.001 IS - 2 J2 - Artif Intell Med KW - *Decision Support Systems, Clinical *Decision Support Techniques *Natural Language Processing *Pattern Recognition, Automated *Quality of Health Care Automatic medical evidence classification Automatic text classification automation Data Mining/*methods Decision support system Evidence-Based Medicine Evidence-Based Medicine/*classification Guideline Adherence Humans Judgment Medical natural language processing Practice Guidelines as Topic Programming Languages LA - eng PY - 2015 SN - 1873-2860 0933-3657 SP - 89-103 ST - Automatic evidence quality prediction to support evidence-based decision making T2 - Artificial intelligence in medicine TI - Automatic evidence quality prediction to support evidence-based decision making VL - 64 ID - 297 ER - TY - JOUR AB - In the Evidence-based Medicine (EBM), PICO format is designed to easily and correctly search for the best available evidence. As the main element of PICO, the Patient/Problem (P) represents the attributes of patient in the clinical question and studies. In order to better understand the clinical problems, patient attribute identification is crucial and indispensable. Due to the richness of the human nature language, many issues like various term representations, grammar structures and abbreviations present challenges for automatically extracting the patient-related attributes from the unstructured data. In this paper, we employed the nature language processing (NLP) technologies to deeply analyze the linguistic characteristics of the attributes. Based on the NLP analysis results, we built the rule sets for different attributes and applied the rule-based approach to extract the patient-related attributes. AU - Zhu, Huijia AU - Ni, Yuan AU - Cai, Peng AU - Qiu, Zhaoming AU - Cao, Feng DA - 2012 J2 - Stud Health Technol Inform KW - *Health Records, Personal *Natural Language Processing artificial intelligence Data Mining/*methods Electronic Health Records/*classification Evidence-Based Medicine/*methods Humans Patient-Centered Care/*methods Patients/*classification LA - eng PY - 2012 SN - 0926-9630 0926-9630 SP - 589-593 ST - Automatic extracting of patient-related attributes: disease, age, gender and race T2 - Studies in health technology and informatics TI - Automatic extracting of patient-related attributes: disease, age, gender and race VL - 180 ID - 346 ER - TY - JOUR AB - In this study, we demonstrate the use of natural language processing methods to extract, from nanomedicine literature, numeric values of biomedical property terms of poly(amidoamine) dendrimers. We have developed a method for extracting these values for properties taken from the NanoParticle Ontology, using the General Architecture for Text Engineering and a Nearly-New Information Extraction System. We also created a method for associating the identified numeric values with their corresponding dendrimer properties, called NanoSifter. We demonstrate that our system can correctly extract numeric values of dendrimer properties reported in the cancer treatment literature with high recall, precision, and f-measure. The micro-averaged recall was 0.99, precision was 0.84, and f-measure was 0.91. Similarly, the macro-averaged recall was 0.99, precision was 0.87, and f-measure was 0.92. To our knowledge, these results are the first application of text mining to extract and associate dendrimer property terms and their corresponding numeric values. AU - Jones, David E. AU - Igo, Sean AU - Hurdle, John AU - Facelli, Julio C. DA - 2014 DO - 10.1371/journal.pone.0083932 IS - 1 J2 - PLoS One KW - *Natural Language Processing Data Mining/methods Dendrimers/chemistry Humans Information Storage and Retrieval/*methods Nanoparticles/*chemistry Reproducibility of results L1 - internal-pdf://1457880381/Jones-2014-Automatic extraction of nanoparticl.pdf LA - eng PY - 2014 SN - 1932-6203 1932-6203 SP - e83932 ST - Automatic extraction of nanoparticle properties using natural language processing: NanoSifter an application to acquire PAMAM dendrimer properties T2 - PloS one TI - Automatic extraction of nanoparticle properties using natural language processing: NanoSifter an application to acquire PAMAM dendrimer properties UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3879259/pdf/pone.0083932.pdf VL - 9 ID - 108 ER - TY - JOUR AB - Automatic extraction of semantic relationships among Arabic concepts to formulate ontology models is crucial for providing rich semantic metadata. Due to the annual increase of Arabic content on the Internet, the need for specialized tools to analyze and understand Arabic text has emerged. This research proposes a methodology that extracts ontological relationships. The goals of this research are: to extract semantic features of Arabic text, propose syntactic patterns of relationships among concepts, and propose a formal model of extracting ontological relations. The proposed methodology has been designed to analyze Arabic text using lexical semantic patterns of the Arabic language according to a set of features. Next, the features have been abstracted and enriched with formal descriptions for the purpose of generalizing the resulted rules. The rules, then, have formulated a classifier that accepts Arabic text, analyzes it, and then displays related concepts labeled with its designated relationship. Moreover, to resolve the ambiguity of homonyms, a set of machine translation, text mining, and part of speech tagging algorithms have been reused. We performed extensive experiments to measure the effectiveness of our proposed tools. The results indicate that our proposed methodology is promising for automating the process of extracting ontological relations. [All rights reserved Elsevier]. AU - Al Zamil, M. G. H. AU - Al-Radaideh, Q. DA - 2014/12// DO - 10.1016/j.jksuci.2014.06.007 IS - 4 J2 - Journal of King Saud University - Computer and Information Sciences KW - meta data text analysis L1 - internal-pdf://4059243604/Al Zamil-2014-Automatic extraction of ontologi.pdf PY - 2014 SN - 1319-1578 SP - 462-72 ST - Automatic extraction of ontological relations from Arabic text T2 - Journal of King Saud University - Computer and Information Sciences TI - Automatic extraction of ontological relations from Arabic text UR - http://dx.doi.org/10.1016/j.jksuci.2014.06.007 http://ac.els-cdn.com/S1319157814000317/1-s2.0-S1319157814000317-main.pdf?_tid=14a48084-832c-11e6-a07f-00000aacb35e&acdnat=1474813783_cbe1f121287a5519a050e53b18e2e1d0 VL - 26 ID - 1005 ER - TY - JOUR AB - To replay baseball highlight scenes in live broadcasts to baseball fans outside, image processing, such as analysis, meta information extraction and automatic editing, has to be performed in real time. This paper proposes high-speed image processing that automatically extracts PC (pitcher and catcher) scenes from live broadcasts of a baseball game in real time using a feature mining technique as a part of baseball highlight scene delivery. This method achieves an F-measure of 97.2% and a processing speed 30 times faster than actual time. AU - Kumano, M. AU - Ariki, Y. AU - Tsukada, K. DA - 2005/01// DO - 10.3169/itej.59.77 IS - 1 J2 - Journal of the Institute of Image Information and Television Engineers KW - data mining feature extraction real-time systems Video signal processing L1 - internal-pdf://2398727471/Kumano-2005-Automatic extraction of PC scenes.pdf PY - 2005 SN - 1342-6907 SP - 77-84 ST - Automatic extraction of PC scenes based on feature mining for real time delivery of baseball highlight scenes T2 - Journal of the Institute of Image Information and Television Engineers TI - Automatic extraction of PC scenes based on feature mining for real time delivery of baseball highlight scenes UR - http://dx.doi.org/10.3169/itej.59.77 https://www.jstage.jst.go.jp/article/itej1997/59/1/59_1_77/_pdf VL - 59 ID - 1443 ER - TY - JOUR AB - Extensible markup language (XML), a simplified version of standard generalized markup language (SGML), is designed to enable electronic text interchange in the Internet. XML documents have a rigorously described structure that may be analyzed by computers and easily understood by humans. Most current approaches store XML documents in file systems or in relational database systems. However, the nature and the design of file system or relational database schema may cause limitations on fitting with XML document structure. In this paper, we present an automatic load/extract scheme to store and retrieve XML documents through object-relational databases. We propose an architecture, called XML meta-generator (XMG), which, after reading a specific document type definition (DTD), automatically generates the corresponding object-relational database schema (OR-Schema), a DI-Decomposer and a DI-Reconstructor, which are explained as follows: 1. OR-Schema-an object-relational database schema in UniSQL/X format for a specific DTD. 2. DI-Decomposer-a module decomposes XML document instances (DIs) according to the specific DTD format and stores the elements into the corresponding object-relational database. 3. DI-Reconstructor-a module retrieves elements from the object-relational database and reconstructs it to recover the original DI. These modules make XML documents be automatically decomposed into and reconstructed from object-relational databases in a seamless manner. Moreover, documents stored in the object-relational databases can be managed and inquired more easily than it could be in file systems or relational databases. Useful applications on various documents can also be easily built on top of the target database, such as digital libraries, data warehouses, and data or text mining systems. (C) 2002 Elsevier Science Inc. All rights reserved. AU - Tseng, F. S. C. AU - Hwung, W. J. DA - 2002/12/15/ DO - 10.1016/S0164-1212(02)00044-4 IS - 3 PY - 2002 SN - 0164-1212 SP - 207-218 ST - An automatic load/extract scheme for XML documents through object-relational repositories T2 - Journal of Systems and Software TI - An automatic load/extract scheme for XML documents through object-relational repositories VL - 64 ID - 2306 ER - TY - JOUR AB - Objective Pathology reports are rich in narrative statements that encode a complex web of relations among medical concepts. These relations are routinely used by doctors to reason on diagnoses, but often require hand-crafted rules or supervised learning to extract into prespecified forms for computational disease modeling. We aim to automatically capture relations from narrative text without supervision. Methods We design a novel framework that translates sentences into graph representations, automatically mines sentence subgraphs, reduces redundancy in mined subgraphs, and automatically generates subgraph features for subsequent classification tasks. To ensure meaningful interpretations over the sentence graphs, we use the Unified Medical Language System Metathesaurus to map token subsequences to concepts, and in turn sentence graph nodes. We test our system with multiple lymphoma classification tasks that together mimic the differential diagnosis by a pathologist. To this end, we prevent our classifiers from looking at explicit mentions or synonyms of lymphomas in the text. Results and Conclusions We compare our system with three baseline classifiers using standard n-grams, full Meta Map concepts, and filtered Meta Map concepts. Our system achieves high F-measures on multiple binary classifications of lymphoma (Burkitt lymphoma, 0.8; diffuse large B-cell lymphoma, 0.909; follicular lymphoma, 0.84; Hodgkin lymphoma, 0.912). Significance tests show that our system outperforms all three baselines. Moreover, feature analysis identifies subgraph features that contribute to improved performance; these features agree with the state-of-the-art knowledge about lymphoma classification. We also highlight how these unsupervised relation features may provide meaningful insights into lymphoma classification. AU - Luo, Yuan AU - Sohani, Aliyah R. AU - Hochberg, Ephraim P. AU - Szolovits, Peter DA - 2014/09// DO - 10.1136/amiajnl-2013-002443 IS - 5 PY - 2014 SN - 1067-5027 SP - 824-832 ST - Automatic lymphoma classification with sentence subgraph mining from pathology reports T2 - Journal of the American Medical Informatics Association TI - Automatic lymphoma classification with sentence subgraph mining from pathology reports VL - 21 ID - 2166 ER - TY - CONF AB - The semantic Web has emerged to replace the World Wide Web (WWW or the Web) as the unique platform for information sharing. Applications such as e-commerce will be and could be plausible only if we can annotate the Web pages with their semantics. For newly developed semantic Web resources, such annotation can be done manually or by help of some authoring tools. However, it is not practical to semantically annotating existing Web pages due to the gigantic amount of them. To overcome this difficulty, we propose a machine learning approach to automatically generate semantic metadata for Web pages. The proposed automated process adopts the self-organizing map algorithm to cluster training Web pages and conducts a text mining process to discover some semantic descriptions about the Web pages. Preliminary experiments show that our method may generate semantically relevant metadata for the Web pages. AU - Hsin-Chang, Yang AU - Chung-Hong, Lee C3 - Proceedings. International Workshop on Challenges in Web Information Retrieval and Integration, 8-9 April 2005 DA - 2005 KW - authoring systems data mining learning (artificial intelligence) meta data self-organising feature maps Semantic Web text analysis Web sites PB - IEEE Computer Society PY - 2005 SP - 186-94 ST - Automatic metadata generation for Web pages using a text mining approach T3 - Proceedings. International Workshop on Challenges in Web Information Retrieval and Integration TI - Automatic metadata generation for Web pages using a text mining approach ID - 1551 ER - TY - JOUR AB - XML (eXtensible Markup Language), a simplified version of SGML (Standard Generalized Markup Language), is designed to enable electronic text interchange in the Internet. Most current approach store XML documents in file systems or in relational database systems. However, the nature and the design of file system or relational database schema cannot fit with XML document structure very well. In this paper, we propose an automatic navigation scheme to store and retrieve XML documents through object-relational databases. We have designed a system architecture, called XMG (XML Meta-Generator), which, after reading a specific DTD, automatically generates the corresponding object-relational database schema (OR-Schema), a DI-Decomposer and a DI-Reconstructor. These modules make XML documents be automatically decomposed into and reconstructed from object-relational databases in a seamless manner. Moreover, documents stored in the object-relational databases can be managed and inquired more easily than it could be in file systems or relational databases. Useful applications on various documents can also be easily built, such as digital libraries, data warehousing, and data or text mining systems. AU - Tseng, Frank S. C. AU - Hwung, Wen-Jong AU - Cheng, Fei-Fei DA - 2000 J2 - International Conference on Knowledge-Based Intelligent Electronic Systems, Proceedings, KES KW - Information analysis Relational database systems SGML Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2000 SP - 428-431 ST - Automatic navigation scheme for XML documents through object-relational repository T2 - 4th International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies (KES'2000), August 30, 2000 - September 1, 2000 TI - Automatic navigation scheme for XML documents through object-relational repository VL - 1 ID - 639 ER - TY - JOUR AB - Target identification for tractography studies requires solid anatomical knowledge validated by an extensive literature review across species for each seed structure to be studied. Manual literature review to identify targets for a given seed region is tedious and potentially subjective. Therefore, complementary approaches would be useful. We propose to use text-mining models to automatically suggest potential targets from the neuroscientific literature, full-text articles and abstracts, so that they can be used for anatomical connection studies and more specifically for tractography. We applied text-mining models to three structures: two well-studied structures, since validated deep brain stimulation targets, the internal globus pallidus and the subthalamic nucleus and, the nucleus accumbens, an exploratory target for treating psychiatric disorders. We performed a systematic review of the literature to document the projections of the three selected structures and compared it with the targets proposed by text-mining models, both in rat and primate (including human). We ran probabilistic tractography on the nucleus accumbens and compared the output with the results of the text-mining models and literature review. Overall, text-mining the literature could find three times as many targets as two man-weeks of curation could. The overall efficiency of the text-mining against literature review in our study was 98% recall (at 36% precision), meaning that over all the targets for the three selected seeds, only one target has been missed by text-mining. We demonstrate that connectivity for a structure of interest can be extracted from a very large amount of publications and abstracts. We believe this tool will be useful in helping the neuroscience community to facilitate connectivity studies of particular brain regions. The text mining tools used for the study are part of the HBP Neuroinformatics Platform, publicly available at http://connectivity-brainer.rhcloud.com/. AU - Vasques, Xavier AU - Richardet, Renaud AU - Hill, Sean L. AU - Slater, David AU - Chappelier, Jean-Cedric AU - Pralong, Etienne AU - Bloch, Jocelyne AU - Draganski, Bogdan AU - Cif, Laura DA - 2015 DO - 10.3389/fnana.2015.00066 J2 - Front Neuroanat KW - globus pallidus internus information extraction natural language processing nucleus accumbens subthalamic nucleus text mining tractography L1 - internal-pdf://4084960731/fnana-09-00066.pdf LA - eng PY - 2015 SN - 1662-5129 1662-5129 SP - 66 ST - Automatic target validation based on neuroscientific literature mining for tractography T2 - Frontiers in neuroanatomy TI - Automatic target validation based on neuroscientific literature mining for tractography VL - 9 ID - 205 ER - TY - JOUR AB - Medical systematic reviews answer particular questions within a very specific domain of expertise by selecting and analysing the current pertinent literature. As part of this process, the phase of screening articles usually requires a long time and significant effort as it involves a group of domain experts evaluating thousands of articles in order to find the relevant instances. Our goal is to support this process through automatic tools. There is a recent trend of applying text classification methods to semi-automate the screening phase by providing decision support to the group of experts, hence helping reduce the required time and effort. In this work, we contribute to this line of work by performing a comprehensive set of text classification experiments on a corpus resulting from an actual systematic review in the area of Internet-Based Randomised Controlled Trials. These experiments involved applying multiple machine learning algorithms combined with several feature selection techniques to different parts of the articles (i.e., titles, abstract, or both). Results are generally positive in terms of overall precision and recall measurements, reaching values of up to 84%. It is also revealing in terms of how using only article titles provides virtually as good results as when adding article abstracts. Based on the positive results, it is clear that text classification can support the screening stage of medical systematic reviews. However, selecting the most appropriate machine learning algorithms, related methods, and text sections of articles is a neglected but important requirement because of its significant impact to the end results. 2013 Elsevier Ltd. All rights reserved. AU - Garcia Adeva, J. J. AU - Pikatza Atxa, J. M. AU - Ubeda Carrillo, M. AU - Ansuategi Zengotitabengoa, E. DA - 2014 DO - 10.1016/j.eswa.2013.08.047 IS - 4 PART 1 J2 - Expert Systems with Applications KW - Abstracting Classification (of information) data mining Decision support systems Diagnosis Experiments Learning algorithms Learning systems Text processing L1 - internal-pdf://3598526307/Garcia Adeva-2014-Automatic text classificatio.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 09574174 SP - 1498-1508 ST - Automatic text classification to support systematic reviews in medicine T2 - Expert Systems with Applications TI - Automatic text classification to support systematic reviews in medicine UR - http://dx.doi.org/10.1016/j.eswa.2013.08.047 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0957417413006684/1-s2.0-S0957417413006684-main.pdf?_tid=d04f04f4-8335-11e6-a3d1-00000aacb35d&acdnat=1474817963_338420633476451eed2bd84d10f48367 VL - 41 ID - 1464 ER - TY - CONF AB - In this paper we propose a novel machine learning application on a funny story sharing website for automatical moderation of newly submitted posts based on their content and metadata. This is a challenging task due to the limitation of a machine to understand a joke and the fact that the content of each post is quite short. We collect all the posts of the website using a web crawler, and then extract the features of the posts with the help of some natural language processing (NLP) tools. Finally we utilize a regression model based on approximate nearest neighbor (ANN) search to predict the number of votes for a given post to achieve the goal of determining its quality. Hashing techniques are used to address the curse of dimensionality issue and also for its fast query speed and low storage cost. The experiment shows that our system can achieve a satisfactory performance using various hashing methods. AU - Peichao, Zhang AU - Minyi, Guo C3 - Advanced Data Mining and Applications. 9th International Conference, ADMA 2013, 14-16 Dec. 2013 DA - 2013 DO - 10.1007/978-3-642-53917-6_13 KW - feature extraction information retrieval learning (artificial intelligence) meta data natural language processing Regression Analysis Web sites PB - Springer PY - 2013 SP - 145-56 ST - An Automatical Moderating System for FML Using Hashing Regression T3 - Advanced Data Mining and Applications. 9th International Conference, ADMA 2013. Proceedings: LNCS 8347 TI - An Automatical Moderating System for FML Using Hashing Regression UR - http://dx.doi.org/10.1007/978-3-642-53917-6_13 VL - pt. II ID - 915 ER - TY - JOUR AB - BACKGROUND: Automation of the parts of systematic review process, specifically the data extraction step, may be an important strategy to reduce the time necessary to complete a systematic review. However, the state of the science of automatically extracting data elements from full texts has not been well described. This paper performs a systematic review of published and unpublished methods to automate data extraction for systematic reviews. METHODS: We systematically searched PubMed, IEEEXplore, and ACM Digital Library to identify potentially relevant articles. We included reports that met the following criteria: 1) methods or results section described what entities were or need to be extracted, and 2) at least one entity was automatically extracted with evaluation results that were presented for that entity. We also reviewed the citations from included reports. RESULTS: Out of a total of 1190 unique citations that met our search criteria, we found 26 published reports describing automatic extraction of at least one of more than 52 potential data elements used in systematic reviews. For 25 (48 %) of the data elements used in systematic reviews, there were attempts from various researchers to extract information automatically from the publication text. Out of these, 14 (27 %) data elements were completely extracted, but the highest number of data elements extracted automatically by a single study was 7. Most of the data elements were extracted with F-scores (a mean of sensitivity and positive predictive value) of over 70 %. CONCLUSIONS: We found no unified information extraction framework tailored to the systematic review process, and published reports focused on a limited (1-7) number of data elements. Biomedical natural language processing techniques have not been fully utilized to fully or even partially automate the data extraction step of systematic reviews. AU - Jonnalagadda, Siddhartha R. AU - Goyal, Pawan AU - Huffman, Mark D. DA - 2015 DO - 10.1186/s13643-015-0066-7 J2 - Syst Rev KW - *Publishing *Review Literature as Topic Data Mining/*methods Humans Information storage and retrieval Research Report L1 - internal-pdf://3806856997/Jonnalagadda-2015-Automating data extraction i.pdf LA - eng PY - 2015 SN - 2046-4053 2046-4053 SP - 78 ST - Automating data extraction in systematic reviews: a systematic review T2 - Systematic reviews TI - Automating data extraction in systematic reviews: a systematic review UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4514954/pdf/13643_2015_Article_66.pdf VL - 4 ID - 20 ER - TY - CONF AB - In medicine, the publication of clinical trials now far out- paces clinicians' ability to read them. Systematic reviews, which aim to summarize the entirety of the available evidence on a specific clinical question, have therefore become the linchpin of evidence-based decision making. A key task in systematic reviews is determining whether the results of included studies may be affected by biases, e.g., poor ran- domization or blinding. This is called risk of bias assess- ment and is now standard practice. Standardized tools are used to perform these assessments; a notable example being the Cochrane risk of bias tool, which covers seven different types of potential biases and involves researchers extracting sentences from articles to support their bias assessments. These assessments are crucial in interpreting published evidence, but due to the exponential growth of the biomedical literature base, manually assessing the risk of bias in clinical trials has grown burdensome for clinical researchers. Aiming to mitigate this workload, we explore automating risk of bias assessment. We demonstrate that systematic re- views may be used to distantly supervise text mining models, obviating the need for manually annotated clinical trial reports. Specifically, we leverage data from the Cochrane Database of Systematic Reviews (a large repository of sys- Tematic reviews), and link clinical trial reports to structured data from the same studies found in CDSR to produce a pseudo-annotated labeled corpus. We then develop a joint model which, using (the PDF of) a clinical trial report as input, predicts the risks of bias in each of the aforemen- Tioned seven areas while simultaneously extracting the text fragments supporting these assessments. Copyright 2014 ACM. AU - Marshall, Iain J. AU - Kuiper, Joel AU - Wallace, Byron C. C3 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, ACM BCB 2014, September 20, 2014 - September 23, 2014 DA - 2014 DO - 10.1145/2649387.2649406 KW - bioinformatics data mining decision making Health care Medical applications Risk Assessment L1 - internal-pdf://2953234493/07104094.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2014 SP - 88-95 ST - Automating risk of bias assessment for clinical trials T3 - ACM BCB 2014 - 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics TI - Automating risk of bias assessment for clinical trials UR - http://dx.doi.org/10.1145/2649387.2649406 ID - 1024 ER - TY - CONF AB - Product Comparison Matrices (PCMs) form a rich source of data for comparing a set of related and competing products over numerous features. Despite their apparent simplicity, PCMs contain heterogeneous, ambiguous, uncontrolled and partial information that hinders their efficient exploitations. In this paper, we formalize PCMs through modelbased automated techniques and develop additional tooling to support the edition and re-engineering of PCMs. 20 participants used our editor to evaluate the PCM metamodel and automated transformations. The results over 75 PCMs from Wikipedia show that (1) a significant proportion of the formalization of PCMs can be automated - 93.11% of the 30061 cells are correctly formalized; (2) the rest of the formalization can be realized by using the editor and mapping cells to existing concepts of the metamodel. The automated approach opens avenues for engaging a community in the mining, re-engineering, edition, and exploitation of PCMs that now abound on the Internet.. 2014 ACM. AU - Becan, Guillaume AU - Sannier, Nicolas AU - Acher, Mathieu AU - Barais, Olivier AU - Blouin, Arnaud AU - Baudry, Benoit C3 - 29th ACM/IEEE International Conference on Automated Software Engineering, ASE 2014, September 15, 2014 - September 19, 2014 DA - 2014 DO - 10.1145/2642937.2643000 KW - automation Embedded systems Linear transformations Reengineering software engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2014 SP - 433-444 ST - Automating the formalization of product comparison matrices T3 - ASE 2014 - Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering TI - Automating the formalization of product comparison matrices UR - http://dx.doi.org/10.1145/2642937.2643000 http://dl.acm.org/citation.cfm?doid=2642937.2643000 ID - 757 ER - TY - JOUR AB - BACKGROUND: Critical appraisal, one of the most crucial steps in the practice of evidence-based medicine, is expertise-dependent and time-consuming. The objective of this study was to develop and evaluate an automated text-mining system that could determine the evidence level provided by a medical article. METHODS: A text processor was designed and built to interpret the abstracts of medical literature. The system extracted information about: (1) the impact factor of the journal; (2) study design; (3) human subject involvement; (4) number of subjects; (5) P-value; and (6) confidence intervals. We used a classification tree algorithm (C4.5) to create a decision tree using supervised classification. Each article was categorized into evidence level A, B or C, and the output was compared to that determined by domain experts (the reference standard). RESULTS: We used a corpus of 3180 cardiovascular disease original research articles, of which 1108 were previously assigned evidence level A, 1705 level B and 367 level C by domain experts. The abstracts were analysed by our automated system and an evidence level was assigned. The algorithm accurately classified 85% of the articles. The agreement between computer and domain experts was substantial (kappa-value: 0.78). Cross-validation showed consistent results across repeated tests. CONCLUSION: The automated engine accurately classified the evidence level. Misclassification might have resulted from incomplete information retrieval and inaccurate data extraction. Further efforts will focus on assessing relevance and using additional study design features to refine evidence level classification. AU - Lin, Jou-Wei AU - Chang, Chia-Hsuin AU - Lin, Ming-Wei AU - Ebell, Mark H. AU - Chiang, Jung-Hsien DA - 2011/08//undefined DO - 10.1111/j.1365-2753.2011.01712.x IS - 4 J2 - J Eval Clin Pract KW - *Automation *Periodicals as Topic Abstracting and Indexing as Topic Algorithms Cardiovascular Diseases Data Mining/methods/*standards Evaluation Studies as Topic Evidence-Based Medicine/*classification Humans Journal Impact Factor Taiwan L1 - internal-pdf://3618280170/Lin-2011-Automating the process of critical ap.pdf LA - eng PY - 2011 SN - 1365-2753 1356-1294 SP - 832-838 ST - Automating the process of critical appraisal and assessing the strength of evidence with information extraction technology T2 - Journal of evaluation in clinical practice TI - Automating the process of critical appraisal and assessing the strength of evidence with information extraction technology UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/j.1365-2753.2011.01712.x/asset/j.1365-2753.2011.01712.x.pdf?v=1&t=itivhirl&s=9cc322b67f1156dfd04cb4388552d95a6f39812b VL - 17 ID - 139 ER - TY - JOUR AU - Tsafnat, Guy AU - Dunn, Adam AU - Glasziou, Paul AU - Coiera, Enrico DA - 2013 J2 - BMJ KW - *Automation *Review Literature as Topic Algorithms artificial intelligence data mining L1 - internal-pdf://3862120563/bmj.f139.full.pdf LA - eng PY - 2013 SN - 1756-1833 0959-535X SP - f139 ST - The automation of systematic reviews T2 - BMJ (Clinical research ed.) TI - The automation of systematic reviews VL - 346 ID - 152 ER - TY - JOUR AB - In this paper, a novel data hiding scheme, 3D unseen visible watermarking (UVW) based on a depth no-synthesis-error (D-NOSE) model is proposed. The proposed method has the ability to detect and discover which region of a depth image is suitable for watermark embedding and calculate optimal variance in pixel values for watermarking. The watermark is embedded into the suitable region by modifying the depth map with optimal variation pixel values to ensure that the watermarked cover can be perceived the same as the original one with no synthesis error under normal rendering conditions. In the proposed UVW scheme, hidden information can be extracted successfully by the human visual system (HVS) when changing the rendering conditions. Experimental results prove that the proposed scheme has strong robustness and imperceptibility while depth distortions follow the thresholds derived from D-NOSE model. Practical applications and limitations of the proposed 3D UVW for auxiliary information delivery are also discussed in this paper. AU - Soo-Chang, Pei AU - Yu-Ying, Wang DA - 2015/01// DO - 10.1109/TMM.2014.2368255 IS - 1 J2 - IEEE Transactions on Multimedia KW - data encapsulation feature extraction image coding image watermarking meta data rendering (computer graphics) PY - 2015 SN - 1520-9210 SP - 128-33 ST - Auxiliary Metadata Delivery in View Synthesis Using Depth No Synthesis Error Model T2 - IEEE Transactions on Multimedia TI - Auxiliary Metadata Delivery in View Synthesis Using Depth No Synthesis Error Model UR - http://dx.doi.org/10.1109/TMM.2014.2368255 VL - 17 ID - 1230 ER - TY - JOUR AB - The appropriate choice of reference genes is essential for accurate normalization of gene expression data obtained by the method of reverse transcription quantitative real-time PCR (RT-qPCR). In 2009, a guideline called the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) highlighted the importance of the selection and validation of more than one suitable reference gene for obtaining reliable RT-qPCR results. Herein, we searched the recent literature in order to identify the bacterial reference genes that have been most commonly validated in gene expression studies by RT-qPCR (in the first 5 years following publication of the MIQE guidelines). Through a combination of different search parameters with the text mining tool MedlineRanker, we identified 145 unique bacterial genes that were recently tested as candidate reference genes. Of these, 45 genes were experimentally validated and, in most of the cases, their expression stabilities were verified using the software tools geNorm and NormFinder. It is noteworthy that only 10 of these reference genes had been validated in two or more of the studies evaluated. An enrichment analysis using Gene Ontology classifications demonstrated that genes belonging to the functional categories of DNA Replication (GO: 0006260) and Transcription (GO: 0006351) rendered a proportionally higher number of validated reference genes. Three genes in the former functional class were also among the top five most stable genes identified through an analysis of gene expression data obtained from the Pathosystems Resource Integration Center. These results may provide a guideline for the initial selection of candidate reference genes for AU - Rocha, Danilo J. P. AU - Santos, Carolina S. AU - Pacheco, Luis G. C. DA - 2015/09//undefined DO - 10.1007/s10482-015-0524-1 IS - 3 J2 - Antonie Van Leeuwenhoek KW - *Genes, Bacterial *Reference Standards Biostatistics Gene Expression Profiling/*methods/*standards Real-Time Polymerase Chain Reaction/*methods/*standards LA - eng PY - 2015 SN - 1572-9699 0003-6072 SP - 685-693 ST - Bacterial reference genes for gene expression studies by RT-qPCR: survey and analysis T2 - Antonie van Leeuwenhoek TI - Bacterial reference genes for gene expression studies by RT-qPCR: survey and analysis VL - 108 ID - 170 ER - TY - JOUR AB - Identifying genes encoding bacteriocins and ribosomally synthesized and posttranslationally modified peptides (RiPPs) can be a challenging task. Especially those peptides that do not have strong homology to previously identified peptides can easily be overlooked. Extensive use of BAGEL2 and user feedback has led us to develop BAGEL3. BAGEL3 features genome mining of prokaryotes, which is largely independent of open reading frame (ORF) predictions and has been extended to cover more (novel) classes of posttranslationally modified peptides. BAGEL3 uses an identification approach that combines direct mining for the gene and indirect mining via context genes. Especially for heavily modified peptides like lanthipeptides, sactipeptides, glycocins and others, this genetic context harbors valuable information that is used for mining purposes. The bacteriocin and context protein databases have been updated and it is now easy for users to submit novel bacteriocins or RiPPs. The output has been simplified to allow user-friendly analysis of the results, in particular for large (meta-genomic) datasets. The genetic context of identified candidate genes is fully annotated. As input, BAGEL3 uses FASTA DNA sequences or folders containing multiple FASTA formatted files. BAGEL3 is freely accessible at http://bagel.molgenrug.nl. AU - van Heel, Auke J. AU - de Jong, Anne AU - Montalban-Lopez, Manuel AU - Kok, Jan AU - Kuipers, Oscar P. DA - 2013/07//undefined DO - 10.1093/nar/gkt391 IS - Web Server issue J2 - Nucleic Acids Res KW - *Genes, Bacterial *Software Bacteriocins/*genetics Databases, Protein data mining Genome Internet Open Reading Frames Peptide Biosynthesis Peptides/*genetics/metabolism Protein Processing, Post-Translational LA - eng PY - 2013 SN - 1362-4962 0305-1048 SP - W448-453 ST - BAGEL3: Automated identification of genes encoding bacteriocins and (non-)bactericidal posttranslationally modified peptides T2 - Nucleic acids research TI - BAGEL3: Automated identification of genes encoding bacteriocins and (non-)bactericidal posttranslationally modified peptides VL - 41 ID - 372 ER - TY - JOUR AU - Maggard-Gibbons, Melinda AU - Maglione, Margaret AU - Livhits, Masha AU - Ewing, Brett AU - Maher, Alicia Ruelaz AU - Hu, Jianhui AU - Li, Zhaoping AU - Shekelle, Paul G. DA - 2013 DP - Google Scholar IS - 21 PY - 2013 SP - 2250-2261 ST - Bariatric surgery for weight loss and glycemic control in nonmorbidly obese adults with diabetes T2 - Jama TI - Bariatric surgery for weight loss and glycemic control in nonmorbidly obese adults with diabetes: a systematic review UR - http://archderm.jamanetwork.com/article.aspx?articleid=1693893 http://jama.jamanetwork.com/article.aspx?articleID=1693893 VL - 309 Y2 - 2016/09/24/15:41:08 ID - 2393 ER - TY - JOUR AB - RATIONALE: Men have poorer health status and are less likely to attend health screening compared to women. OBJECTIVE: This systematic review presents current evidence on the barriers and facilitators to engaging men in health screening. METHODS: We included qualitative, quantitative and mixed-method studies identified through five electronic databases, contact with experts and reference mining. Two researchers selected and appraised the studies independently. Data extraction and synthesis were conducted using the 'best fit' framework synthesis method. RESULTS: 53 qualitative, 44 quantitative and 6 mixed-method studies were included. Factors influencing health screening uptake in men can be categorized into five domains: individual, social, health system, healthcare professional and screening procedure. The most commonly reported barriers are fear of getting the disease and low risk perception; for facilitators, they are perceived risk and benefits of screening. Male-dominant barriers include heterosexual -self-presentation, avoidance of femininity and lack of time. The partner's role is the most common male-dominant facilitator to screening. CONCLUSIONS: This systematic review provides a comprehensive overview of barriers and facilitators to health screening in men including the male-dominant factors. The findings are particularly useful for clinicians, researchers and policy makers who are developing interventions and policies to increase screening uptake in men. AU - Teo, Chin Hai AU - Ng, Chirk Jenn AU - Booth, Andrew AU - White, Alan DA - 2016/09//undefined DO - 10.1016/j.socscimed.2016.07.023 J2 - Soc Sci Med KW - Barrier Facilitator Masculinity Men's health Qualitative Quantitative Screening Systematic review LA - eng PY - 2016 SN - 1873-5347 0277-9536 SP - 168-176 ST - Barriers and facilitators to health screening in men: A systematic review T2 - Social science & medicine (1982) TI - Barriers and facilitators to health screening in men: A systematic review VL - 165 ID - 112 ER - TY - JOUR AB - OBJECTIVE: To analyze the basic characteristics of effects of acupoint application therapy in order to guide clinical decision better. METHODS: A database on acupoint application therapy was established first by collection, sorting, screening, recording, collation, data extraction, and statistical analyses of the related literature published in recent 60 years, and using modern computer system. Then, its predominant indications and application rules in clinical practice were analyzed using data mining techniques. RESULTS: Outcomes of data mining showed that the acupoint application therapy was extensively utilized in the treatment of a variety of diseases or clinical conditions (142 in total) in different clinical departments, particularly in the internal medicine which contains 51 types of clinical conditions or diseases (accounting for 35.92%). Among them, the top 3 are asthma, cough, and abdominal pain, with the appearance frequency being 161, 79 and 45 times (= articles) in the domestic journals, respectively. The second one is the paediatric department, containing 30 kinds of diseases or clinical conditions (accounting for 21.13%). Among them, cough (106 articles), asthma (104 articles) and diarrhoea (82 articles) are frequently seen. The surgery department takes the third place, involving 27 disorders (accounting for 19.01%), with lumbago-leg pain being the most (31 articles). In the departments of ophthalmology and otorhinolaryngology, 14 types of disorders (accounting for 9.86%) have been reported, with nasosinusitis being the most (56 papers). This therapy has also been used to treat 10 types of gynecopathy (7.04%) and 10 kinds of dermopathy (7.04%), with dysmenorrhea (37 articles) and shingles (6 articles) being the most. For acupoint application, complex prescriptions of Chinese herbal medicines in the forms of paste and cataplasm are frequently adopted, but with fewer application of enhancer of cutaneous penetration. Regarding the utilized acupoint, local points are often chosen. In the light of the collected papers, the highest effective rate is for dermopathy, followed by surgical problems, gynecopathy, paediatric conditions, and disorders of the internal medicine, ophthalmology and otorhinolaryngology. CONCLUSION: Acupoint application therapy has been used for 142 kinds of disorders of different clinical departments, with the dominant indications being asthma, cough, abdominal pain, facial paralysis and constipation in the internal medicine, cough, asthma and diarrhoea in the paediatrics, lumbago-leg pain in the surgery, nasosinusitis in the otorhinolaryngology, and dysmenorrhea of gynecopathy. AU - Zhang, Xin AU - Zhang, Xuan-Ping AU - Jia, Chun-Sheng AU - Wang, Jian-Ling AU - Xu, Jing AU - Qin, Liang AU - Xu, Xiao-Kang AU - Zhang, Mei-Ling AU - Kang, Su-Gang AU - Duan, Xiao-Dong AU - Liu, Bei-Bei AU - Cai, Chun-Ying DA - 2012/10//undefined IS - 5 J2 - Zhen Ci Yan Jiu KW - *Acupuncture Points *Data Mining Bibliometrics Drugs, Chinese Herbal/*therapeutic use Humans LA - chi PY - 2012 SN - 1000-0607 1000-0607 SP - 416-421 ST - [Basic rules and characteristics of acupoint application therapy based upon data mining] T2 - Zhen ci yan jiu = Acupuncture research / [Zhongguo yi xue ke xue yuan Yi xue qing bao yan jiu suo bian ji] TI - [Basic rules and characteristics of acupoint application therapy based upon data mining] VL - 37 ID - 189 ER - TY - JOUR ST - Basic Text Mining in R TI - Basic Text Mining in R UR - https://rstudio-pubs-static.s3.amazonaws.com/31867_8236987cf0a8444e962ccd2aec46d9c3.html Y2 - 2016/09/24/21:01:15 ID - 2523 ER - TY - CHAP A2 - Li, D. L. A2 - Chen, Y. Y. AB - In order to meet the needs of users who search agricultural products logistics information technology, this paper introduces a search and classification system of agricultural products logistics information technology search and classification. Firstly, the dictionary of field concept word was built based on analyzing the characteristics of agricultural products logistics information technology. Secondly, the system used meta-search engine to search related pages on the Internet based on keywords collections, and then used Web mining to analyze and filter the relevant pages. Finally, classify the agricultural products logistics information technology by web text classification according to different users' needs. The results showed that the system could efficiently and accurately search the required information, and classification with good results. AU - Li, Dandan AU - Li, Daoliang AU - Chen, Yingyi AU - Li, Li AU - Qin, Xiangyang AU - Zheng, Yongjun PY - 2012 SN - 978-3-642-27280-6 SP - 437-444 ST - A Bayesian Based Search and Classification System for Product Information of Agricultural Logistics Information Technology T2 - Computer and Computing Technologies in Agriculture V, Pt I TI - A Bayesian Based Search and Classification System for Product Information of Agricultural Logistics Information Technology VL - 368 ID - 2198 ER - TY - CONF AB - With the increasing availability of interaction data stemming form fields as diverse as systems biology, telecommunication or social sciences, the task of mining and understanding the underlying graph structures becomes more and more important. Here we focus on data with different types of nodes; we subsume this meta information in the color of a node. An important first step is the unsupervised clustering of nodes into communities, which are of the same color and highly connected within but sparsely connected to the rest of the graph. Recently we have proposed a fuzzy extension of this clustering concept, which allows a node to have membership in multiple clusters. The resulting gradient descent algorithm shared many similarities with the multiplicative update rules from nonnegative matrix factorization. Two issues left open were the determination of the number of clusters of each color, as well as the non-defined integration of additional prior information. In this contribution we resolve these issues by reinterpreting the factorization in a Bayesian framework, which allows the ready inclusion of priors. We integrate automatic relevance determination to automatically estimate group sizes. We derive a maximum-a-posteriori estimator, and illustrate the feasibility of the approach on a toy as well as a protein-complex hypergraph, where the resulting fuzzy clusters show significant enrichment of distinct gene ontology categories. AU - Theis, F. J. C3 - Latent Variable Analysis and Signal Separation. 10th International Conference, LVA/ICA 2012, 12-15 March 2012 DA - 2012 DO - 10.1007/978-3-642-28551-6_65 KW - Bayes methods fuzzy set theory gradient methods Graph theory matrix decomposition maximum likelihood estimation pattern clustering PB - Springer-Verlag PY - 2012 SP - 528-35 ST - Bayesian fuzzy clustering of colored graphs T3 - Latent Variable Analysis and Signal Separation. Proceedings 10th International Conference, LVA/ICA 2012 TI - Bayesian fuzzy clustering of colored graphs UR - http://dx.doi.org/10.1007/978-3-642-28551-6_65 ID - 516 ER - TY - JOUR AB - Gene prognostic meta-analyses should benefit from breast tumour genomic data obtained during the last decade. The aim was to develop a user-friendly, web-based application, based on DNA microarrays results, called "breast cancer Gene-Expression Miner" (bc-GenExMiner) to improve gene prognostic analysis performance by using the same bioinformatics process. bc-GenExMiner was developed as a web-based tool including a MySQL relational database. Survival analyses are performed with R statistical software and packages. Molecular subtyping was performed by means of three single sample predictors (SSPs) and three subtype clustering models (SCMs). Twenty-one public data sets have been included. Among the 3,414 recovered breast cancer patients, 1,209 experienced a pejorative event. Molecular subtyping by means of three SSPs and three SCMs was performed for 3,063 patients. Furthermore, three robust lists of stable subtyped patients were built to maximize reliability of molecular assignment. Gene prognostic analyses are done by means of univariate Cox proportional hazards model and may be conducted on cohorts split by nodal (N), oestrogen receptor (ER), or molecular subtype status. To evaluate independent prognostic impact of genes relative to Nottingham Prognostic Index and Adjuvant! Online, adjusted Cox proportional hazards models are performed. bc-GenExMiner allows researchers without specific computation skills to easily and quickly evaluate the in vivo prognostic role of genes in breast cancer by means of Cox proportional hazards model on large pooled cohorts, which may be split according to different prognostic parameters: N, ER, and molecular subtype. Prognostic analyses by molecular subtype may also be performed in three robust molecular subtype classifications. AU - Jezequel, Pascal AU - Campone, Mario AU - Gouraud, Wilfried AU - Guerin-Charbonnel, Catherine AU - Leux, Christophe AU - Ricolleau, Gabriel AU - Campion, Loic DA - 2012/02//undefined DO - 10.1007/s10549-011-1457-7 IS - 3 J2 - Breast Cancer Res Treat KW - *Software Adult Aged Aged, 80 and over Breast Neoplasms/*genetics/mortality/pathology Cluster Analysis Data Mining/methods Female Gene Expression Profiling/*methods Gene Expression Regulation, Neoplastic Humans Internet Middle Aged Prognosis Survival Analysis Young Adult LA - eng PY - 2012 SN - 1573-7217 0167-6806 SP - 765-775 ST - bc-GenExMiner: an easy-to-use online platform for gene prognostic analyses in breast cancer T2 - Breast cancer research and treatment TI - bc-GenExMiner: an easy-to-use online platform for gene prognostic analyses in breast cancer VL - 131 ID - 218 ER - TY - CHAP AB - Background Background Chronic obstructive pulmonary disease (COPD) is a chronic obstructive lung condition, diagnosed in patients with dyspnoea, chronic cough or sputum production and/or a history of risk factor exposure, if their postbronchodilator forced expiratory lung volume in 1 second (FEV1)/forced vital lung capacity (FVC) ratio is less than 0.70, according to the international GOLD (Global Initiative for Obstructive Lung Disease) criteria. Inhaled corticosteroid (ICS) medications are now recommended for COPD only in combination treatment with long-acting beta2-agonists (LABAs), and only for patients of GOLD stage 3 and stage 4 severity, for both GOLD groups C and D. ICS are expensive and how effective they are is a topic of controversy, particularly in relation to their adverse effects (pneumonia), which may be linked to more potent ICS. It is unclear whether beclometasone dipropionate (BDP), an unlicensed but widely used inhaled steroid, is a safe and effective alternative to other ICS. Objectives Objectives To determine the effectiveness and safety in COPD of inhaled beclometasone alone compared with placebo, and of inhaled beclometasone in combination with LABAs compared with LABAs alone. Search methods Search methods We searched the Cochrane Airways Group Specialised Register of trials (CAGR) (includes Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, CINAHL, AMED and PsycINFO, and handsearching of respiratory journals and meeting abstracts) (February 2013), conference abstracts, ongoing studies and reference lists of articles. We contacted pharmaceutical companies and drug marketing authorisation bodies/ethics committees in 49 countries and obtained licensing information. Selection criteria Selection criteria Randomised controlled trials of BDP compared with placebo, or BDP/LABA compared with LABA, in stable COPD. Minimum trial duration is 12 weeks. Data collection and analysis Data collection and analysis Inclusion, bias assessment and data extraction were conducted by two review authors independently. The analysis was performed by one review author. Study authors were contacted to obtain missing information. Main results Main results For BDP versus placebo, two studies were included, of which one trial (participants n = 194) was included in the quantitative analysis. This study was a very high-dose trial with stable stage 2 and 3 COPD participants. No statistically significant results in change in lung function, mortality, exacerbations, dyspnoea scores or withdrawal were obtained. The quality of the evidence of all these outcomes was graded low to very low. Data on risk of pneumonia were lacking. The main focus of the review was the more clinically relevant BDP/LABA versus LABA arm. Therefore the findings are reported more fully. For BDP/LABA versus LABA, one study (n = 474) was included, with a further ongoing study identified for future inclusion. The included trial was a high-dose study of stable stage 3 COPD participants. Compared with LABA, people receiving BDP/LABA showed a statistically significant improvement in FEV1 lung function measurements of 0.051 L (95% confidence Interval (CI) 0.001 to 0.102, P = 0.046) (high quality of evidence) and in (self-reported) days without rescue bronchodilators (mean difference 7.05, 95% CI 0.84 to 13.26, P = 0.03) (low quality), both of which are unlikely to be clinically significant. Participants receiving BDP/LABA also had a statistically significant increased rate of exacerbations leading to hospitalisation (risk ratio (RR) 1.84, 95% CI 1.17 to 2.90, P = 0.008) (moderate quality), although this finding is debatable as this study's post hoc analysis showed no statistically significant difference when accounting for country-specific differences in hospitalisation policies. We did not find statistically significant differences for mortality (very low quality), pneumonia (low quality), exacerbations, exercise capacity, quality of life and dyspnoea scores, adverse events and withdrawal (all moderate quality). Authors' conclusions Authors' conclusions We found little evidence to suggest that beclometasone is a safer or more effective treatment option for people with COPD when compared with placebo or when used in combination with LABA; when statistically significant differences were found, they mostly were not clinically meaningful or were based on data from only one study. The review was limited by an inability to obtain data from one study and likely publication bias for BDP versus placebo, and by the inclusion of one study only for BDP/LABA versus LABA. An ongoing study of BDP/LABA versus LABA may have a further impact on these conclusions. AU - De Coster, Daan A. AU - Jones, Melvyn AU - Thakrar, Nikita DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD009769.pub2/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2013 ST - Beclometasone for chronic obstructive pulmonary disease T2 - Cochrane Database of Systematic Reviews TI - Beclometasone for chronic obstructive pulmonary disease UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD009769.pub2/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD009769.pub2/full Y2 - 2016/09/18/20:15:38 ID - 428 ER - TY - CONF AB - Effective methods for solving the complex and noisy engineering problems using a finite sequence of instructions can be categorised into optimisation and meta-heuristics algorithms. The latter might be defined as an iterative search process that efficiently performs the exploration and exploitation in the solution space aiming to efficiently find near optimal solutions. Various natural intelligences and inspirations have been adopted into the iterative process. In this work, two types of meta-heuristics called Bees and Firefly algorithms were adapted to find optimal solutions of noisy non-linear continuous mathematical models. Considering the solution space in a specified region, some models contain global optimum and multiple local optimums. Bees algorithm is an optimisation algorithm inspired by the natural foraging behaviour of honey bees. Firefly algorithm is used to produce a near optimal solution under a consideration of the flashing characteristics of fireflies. A series of computational experiments using each algorithm were conducted. Experimental results were analysed in terms of best solutions found so far, mean and standard deviation on both the actual yields and execution time to converge to the optimum. The Firefly algorithm seems to be better when the noise levels increase. The Bees algorithm provides the better levels of computation time and the speed of convergence. In summary, the Firefly algorithm is more suitable to exploit a search space by improving individuals' experience and simultaneously obtaining a population of local optimal solutions. AU - Chai-ead, N. AU - Aungkulanon, P. AU - Luangpaiboon, P. C3 - International MultiConference of Engineers and Computer Scientists 2011, IMECS 2011, March 16, 2011 - March 18, 2011 DA - 2011 KW - Algorithms Bioluminescence Computer Science Convergence of numerical methods Engineers Fire protection Mathematical models Optimal systems Optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Newswood Ltd. PY - 2011 SP - 1449-1454 ST - Bees and firefly algorithms for noisy non-linear optimisation problems T3 - IMECS 2011 - International MultiConference of Engineers and Computer Scientists 2011 TI - Bees and firefly algorithms for noisy non-linear optimisation problems VL - 2 ID - 770 ER - TY - JOUR AB - We report a detailed investigation of the behaviour of water-immersed binary mixtures of glass and bronze spheres under sinusoidal vertical vibration. Excellent separation with a bronze layer above a glass layer is observed for a range of particle sizes and size ratios, with very sharp boundaries between the bronze and glass regions. Convection cells exist within each separated region but convection does not cause global mixing. Separation is maintained in the presence of convection due to gaps which appear between the bronze and glass beds for part of the vibration cycle. We vary the size of the spheres and the size ratio, investigating the separation behaviour as a function of frequency and amplitude of vibration. We also discuss a number of meta-stable granular configurations. The Faraday tilting observed at low frequencies enhances the speed of separation. For very fine particles, the amplitude of vibration necessary for separation becomes very large and the time scale for separation becomes very long. For large particle diameters, the fluid damping of the particle motion weakens and separation may fail through global convective mixing. Springer-Verlag Berlin Heidelberg 2005. AU - Leaper, M. C. AU - Smith, A. J. AU - Swift, Michael R. AU - King, P. J. AU - Webster, H. E. AU - Miles, N. J. AU - Kingman, S. W. DA - 2005 DO - 10.1007/s10035-004-0185-7 IS - 2-3 J2 - Granular Matter KW - Binary mixtures Bronze Glass Granular materials Heat convection Particle size analysis Vibrations (mechanical) L1 - internal-pdf://3329660268/Leaper-2005-The behaviour of water-immersed gl.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2005 SN - 14345021 SP - 57-67 ST - The behaviour of water-immersed glass-bronze particulate systems under vertical vibration T2 - Granular Matter TI - The behaviour of water-immersed glass-bronze particulate systems under vertical vibration UR - http://dx.doi.org/10.1007/s10035-004-0185-7 VL - 7 ID - 515 ER - TY - CHAP AB - This is the protocol for a review and there is no abstract. The objectives are as follows: To assess the effectiveness of any behavioural intervention either directed at firms or at individual workers for promoting RPE use in workers when compared to no intervention or compared to an alternative intervention. AU - Sakunkoo, Pornpun AU - Laopaiboon, Malinee AU - Koh, David DP - Wiley Online Library LA - en PB - John Wiley & Sons, Ltd PY - 2012 ST - Behavioural interventions for promoting respiratory protection use in workers T2 - Cochrane Database of Systematic Reviews TI - Behavioural interventions for promoting respiratory protection use in workers UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD010157/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD010157/full Y2 - 2016/09/18/20:19:23 ID - 438 ER - TY - CONF AB - The Semantic Web requires document annotation with various meta-data. But for end-users, doing it manually would be extremely time consuming and unfeasible for billion of documents. To reduce this burden, Information Extraction techniques should be applied. This paper describes the use of a recent probabilistic sequence model, Conditional Random Fields, to annotate semi-automatically sets of documents. It introduces the model principles and how to configure it to maximise the detection capabilities. The approach is evaluated on a task of event detection in news press articles related to terrorism events (the MUC-LAT corpus). AU - Grilheres, Bruno AU - Beauce, Christophe AU - Canu, Stephane AU - Brunessaux, Stephan C3 - 2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, EWIMT 2005, November 30, 2005 - December 1, 2005 DA - 2005 DO - 10.1049/ic.2005.0737 KW - Benchmarking Digital storage Information analysis information retrieval systems Semantics Semantic Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institution of Engineering and Technology PY - 2005 SP - 233-236 ST - Benchmarking of semantic annotation with conditional random fields T3 - IET Seminar Digest TI - Benchmarking of semantic annotation with conditional random fields UR - http://dx.doi.org/10.1049/ic.2005.0737 VL - 2005 ID - 618 ER - TY - JOUR AB - The challenges of applying benefit transfer models to policy sites are often underestimated. Analysts commonly need to estimate site-specific effects for areas that lack data on the number of people who use the resource, intensity of use, and other relevant variables. Here, we address issues of applying transfer functions to sites that have sparse or missing data. We present options for estimating data to apply meta-regression models (MRMs) in ways that are scale-appropriate and sensitive to local conditions. Using a case study of the potential lost welfare to freshwater anglers as a result of mountain top coal mining within West Virginia, we integrate: 1) an empirical ecological model of fish community changes; 2) an MRM that relates changes in catch rates to changes in anglers' utility; and 3) a spatial participation analysis that maps trip distribution using multiple survey datasets. We evaluate two scenarios: partial (20%) and full use of existing mine permits. Our conservative estimates of annual welfare loss are $120,500 for the partial scenario and $627,800 for the full scenario, due to changes in recreational fishing catches. These results are sensitive to catch rate assumptions and socio-demographic characteristics that varied widely depending on the spatial scale of measurement. Published by Elsevier B.V. AU - Mazzotta, Marisa AU - Wainger, Lisa AU - Sifleet, Samantha AU - Petty, J. Todd AU - Rashleigh, Brenda DA - 2015/11// DO - 10.1016/j.ecolecon.2015.09.018 PY - 2015 SN - 0921-8009 SP - 384-398 ST - Benefit transfer with limited data: An application to recreational fishing losses from surface mining T2 - Ecological Economics TI - Benefit transfer with limited data: An application to recreational fishing losses from surface mining VL - 119 ID - 1902 ER - TY - CONF AB - Search engine query log is a valuable information source to analyze the users' interests and preferences. In existing work, click graph is intensively utilized to analyze the information in query log. However, click graph is usually plagued by low information coverage, failure of capturing the diverse types of co-occurrence and the incapability of discovering the latent semantics in data. In this paper, we go beyond click graph and analyze query log through the new perspective of probabilistic topic modeling. In order to systematically explore the potential assumptions of the latent structure of the log data, we propose three different topic models. The first model, the Meta-word Model (MWM), unifies the co-occurrence of query terms and URLs by the meta-word occurrence. The second model, the Term-URL Model (TUM), captures the characteristics of query terms and URLs separately. The third model, the Clickthrough Model (CTM), captures the clicking behavior explicitly and models the ternary relation between search queries, query terms and URLs. We evaluate the three proposed models against several strong baselines on a real-life query log. The experimental results show that the proposed models demonstrate significantly improved performance with respect to different quantitative metrics and also in applications such as date prediction, community discovery and URL annotation. AU - Di, Jiang AU - Leung, K. W. T. AU - Ng, W. AU - Hao, Li C3 - Database Systems for Advanced Applications.18th International Conference, DASFAA 2013, 22-25 April 2013 DA - 2013 DO - 10.1007/978-3-642-37487-6_18 KW - data mining query processing Search Engines PB - Springer Verlag PY - 2013 SP - 209-23 ST - Beyond click graph: Topic modeling for search engine query log analysis T3 - Database Systems for Advanced Applications.18th International Conference, DASFAA 2013. Proceedings TI - Beyond click graph: Topic modeling for search engine query log analysis UR - http://dx.doi.org/10.1007/978-3-642-37487-6_18 VL - pt. I ID - 1481 ER - TY - JOUR AB - Customer retention and repeated sales is really the only salvation for dot-com profitability. But as Wall Street has shown us over the past year (2000-2001), business-to-consumer (B2C) e-commerce profitability is a difficult nut to crack. Studies have shown that e-retailers spend an average of $100 to $250 acquiring a new customer who then only spends about $24, with most never returning. On the average, only 35 percent of buyers make a second purchase at a site they buy from initially. Given these dismal figures, it is quite apparent that if you want to survive and be profitable you need to go beyond cookies and meta tags. You need to learn what your online customers are like offline. A case study is presented of using offline data to find your best online customers. AU - Mena, J. DA - 2001/03/08/ IS - 4 J2 - Intelligent Enterprise KW - data analysis data mining Demography Electronic commerce human factors Internet PY - 2001 SN - 1524-3621 SP - 34-6 ST - Beyond the shopping cart [e-commerce] T2 - Intelligent Enterprise TI - Beyond the shopping cart [e-commerce] VL - 4 ID - 874 ER - TY - JOUR AB - Assay sensitivity has been proposed as a criterion for including psychiatric clinical outcome studies in meta-analyses. The authors assess the performance of assay sensitivity as a method for deter-mining study appropriateness for meta-analysis by calculating expected standard drug vs placebo effect sizes for various combinations of high quality and flawed studies. In the absence of flawed studies, expected effect sizes are close to unbiased only when sample sizes are very large. In the presence of flawed studies, expected effect sizes tend to be substantially biased except under simultaneous conditions of high power, a large proportion of flawed studies, and a population standard vs placebo effect size of flawed studies considerably lower than that of high quality studies. The authors conclude that this method is not robust and can lead to serious bias. Unless it can be shown that specific conditions hold, assay sensitivity should not be used to make quality judgments of studies. Copyright (c) 2005 John Wiley & Sons, Ltd. AU - Gelfand, L. A. AU - Strunk, D. R. AU - Tu, X. M. AU - Noble, R. E. S. AU - DeRubeis, R. J. DA - 2006/03/30/ DO - 10.1002/sim.2240 IS - 6 L1 - internal-pdf://0333293469/Gelfand-2006-Bias resulting from the use of 'a.pdf PY - 2006 SN - 0277-6715 SP - 943-955 ST - Bias resulting from the use of 'assay sensitivity' as an inclusion criterion for meta-analysis T2 - Statistics in Medicine TI - Bias resulting from the use of 'assay sensitivity' as an inclusion criterion for meta-analysis UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/sim.2240/asset/2240_ftp.pdf?v=1&t=itisg4o8&s=ac6b6931a4838735d9910a4f86f8f4c56981dfa9 VL - 25 ID - 1894 ER - TY - JOUR AB - Bibliometric analysis of Egyptian literature on HCV provides the intelligence needed for decision makers and gives an insight into research productivity in this area. We propose our database (HCVDBegy) on MS-SQL server by querying PubMed for HCV and Egypt with time limit till 31st March 2013. Fifty eight out of the 716 records were excluded and the rest 658 were divided into 22 domains. Analysis used data mining add-ins for Microsoft Excel, including association and regression algorithms. A fluctuation in numbers of papers was noticed from 2004 to 2009 with a steady increase onward. Eighty six percent of publications were the contribution of three or more authors. Top publishing bodies were Cairo and Ain Shams Universities, Faculty of Medicine, National Research Center and National Cancer Institute. Three Egyptian journals came on top, whereas other publishing journals were mainly from the USA. Few controlled clinical trials and meta-analyses were published. HCV epidemiology, review articles and sequence analysis domains were the most cited. Forecasting model showed a breakthrough in numbers of publications on 2013 and 2014 than those forecasted. Dependency network based on association rule model of MeSH topics was also extensively analyzed. Number of publications showed a promising increase which points to the better national awareness of HCV problem. Studying MeSH terms clustering showed some hot topics. We recommend that the PubMed should alarm authors of the challenges of author affiliations. HCVDBegy availability opens the door for more drill down analysis for decision makers. AU - Alam El-Din, H. M. H. AU - Eldin, A. S. AU - Hanora, A. M. S. A. DA - 2016/08// DO - 10.1007/s11192-016-2007-1 IS - 2 J2 - Scientometrics KW - data mining Diseases Information analysis medical computing pattern clustering PY - 2016 SN - 0138-9130 SP - 895-915 ST - Bibliometric analysis of Egyptian publications on Hepatitis C virus from PubMed using data mining of an in-house developed database (HCVDBegy) T2 - Scientometrics TI - Bibliometric analysis of Egyptian publications on Hepatitis C virus from PubMed using data mining of an in-house developed database (HCVDBegy) UR - http://dx.doi.org/10.1007/s11192-016-2007-1 VL - 108 ID - 1830 ER - TY - CONF AB - Digging up the coregulated gene biclusters using a novel Nature-inspired Meta-Heuristic algorithm named Venus Flytrap Optimization (VFO). This optimized biclustering approach will yield highly correlated biclusters. This algorithm is based on the rapid closure behavior of the Venus Flytrap (Dionaea Muscipula) leaves. Gene temperament is understood from their exposure under specific conditions. So far, Optimal Biclusters are extracted using various optimization algorithms like PSO, Genetic algorithm, SA, etc., were used for this kind of analysis. In this paper, VFO algorithm is used for extracting optimal biclusters and results are compared with those obtained by applying PSO, SA, PSO-SA Biclustering algorithms. Springer India 2016. AU - Gowri, R. AU - Sivabalan, S. AU - Rathipriya, R. C3 - 2nd International Conference on Computational Intelligence in Data Mining, CIDM 2015, December 5, 2015 - December 6, 2015 DA - 2016 DO - 10.1007/978-81-322-2734-2_21 KW - Algorithms artificial intelligence data mining gene expression Genes Genetic algorithms Heuristic algorithms Optimization Particle swarm optimization (PSO) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2016 SN - 21945357 SP - 199-207 ST - Biclustering using venus flytrap optimization algorithm T3 - Advances in Intelligent Systems and Computing TI - Biclustering using venus flytrap optimization algorithm UR - http://dx.doi.org/10.1007/978-81-322-2734-2_21 VL - 410 ID - 1161 ER - TY - CONF AB - The proceedings contain 13 papers. The topics discussed include: tutorial: social media analytics; temporal analysis of user behavior and topic evolution on twitter; stylometric analysis for authorship attribution on twitter; copyright infringement detection of music videos on youtube by mining video and uploader meta-data; high dimensional big data and pattern analysis: a tutorial; the role of incentive-based crowd-driven data collection in big data analytics: a perspective; discovering quasi-periodic-frequent patterns in transactional databases; challenges and approaches for large graph analysis using map/reduce paradigm; complex network characteristics and team performance in the game of cricket; visualization of small world networks using similarity matrices; demonstrator of a tourist recommendation system; performance comparison of hadoop based tools with commercial ETL tools - a case study; and pattern recognition in large-scale data sets: application in integrated circuit manufacturing. C3 - 2nd International Conference on Big Data Analytics, BDA 2013, December 16, 2013 - December 18, 2013 DA - 2013 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2013 SN - 03029743 SP - E-Bay; IBM India Research Lab ST - Big Data Analytics - Second International Conference, BDA 2013, Proceedings T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Big Data Analytics - Second International Conference, BDA 2013, Proceedings VL - 8302 LNCS ID - 530 ER - TY - CONF AB - In this paper, the key aim is to provide conceptual, technical solution design to implement a supportive dashboard which integrates with Big Data indicators and online transaction processing (OLTP) systems. The proposed solution is mainly focusing on a case study of Travel and Tourism industry in Sri Lanka. We carried out in-depth analysis to identify the necessity of a dashboard and examine significant challenges need to consider when designing the solution. Moreover, we evaluate suitable big data technologies for implementation and Hadoop, Hbase, MapReduce has been proposed. Centralized repository for user Meta data, Contextual Search, Early Warning Alerts, Index Indicators, Analytic tool and Reports, Marketing campaign optimization, Link with social media features, Sales and marketing forecasting are main dashboard features that has been designed based on the requirements. Our results attest importance of Index indicators, one of the major functionality which is built-in to dashboard. In this work, we present a detailed analysis of a total efficiency index using four indexing strategies of varying complexity including Visit Index, Wealth Index, Health Index, and Lifestyle Index. We conclude by designing an open architecture, that can track and leverage data on the behavior of tourist via a dashboard which consider trends, to make better decisions, reduce risks and drive personal tourist experiences. AU - Irudeen, R. AU - Samaraweera, S. C3 - 2013 International Conference on Advances in ICT for Emerging Regions (ICTer), 11-15 Dec. 2013 DA - 2013 DO - 10.1109/ICTer.2013.6761180 KW - Big data data mining travel industry PB - IEEE PY - 2013 SP - 207-16 ST - Big data solution for Sri Lankan development: a case study from travel and tourism T3 - 2013 International Conference on Advances in ICT for Emerging Regions (ICTer) TI - Big data solution for Sri Lankan development: a case study from travel and tourism UR - http://dx.doi.org/10.1109/ICTer.2013.6761180 ID - 1162 ER - TY - CONF AB - Biofilm leads to various undesirable problems in drinking water distribution systems (DWDSs), representing a critical paradigm in the management of these systems. Biofilm depends on a complex interaction of water quality, operational factors, and infrastructure associated to DWDSs. Although, it is known that all these factors do influence biofilm development, they have not been studied to the same extent. Those associated with the design and operation of DWDSs have been the most unconsidered. Besides, the joint influence of these factors has been scarcely investigated due to the complexity of the community and the environment under study. In order to bridge this gap, we focus on the joint analysis of the hydraulic (operation) and physical (design) characteristics of DWDSs to evaluate the susceptibility of the different areas of a DWDS to favour biofilm development. In addition, we also take into account the daily variability of the hydraulic conditions. Since hydraulic conditions are associated with demand, and demand varies depending on the moment of the day, we evaluate how biofilm susceptibility of a DWDS varies regarding a 24 hours demand curve. To achieve this objective we use (i) a meta-analysis process by applying Data Mining techniques, (ii) a label negotiation process by multi-agent systems and (iii) hydraulic simulation of DWDSs by using EPANET. As a result, a multiple time series study of the demand is approached to finally develop a decision making support tool useful for water utility managers. This will provide useful extra information to decide suitable actions addressing maintenance operations to mitigate problems associated to biofilm. AU - Ramos-Martinez, Eva AU - Herrera, Manuel AU - Izquierdo, Joaquin AU - Perez-Garcia, Rafael C3 - 7th International Congress on Environmental Modelling and Software, iEMSs 2014, June 15, 2014 - June 19, 2014 DA - 2014 KW - Biofilms Bridges data mining decision making local area networks Multi agent systems Potable water Water distribution systems Water quality N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Environmental Modelling and Software Society PY - 2014 SP - 1413-1418 ST - Biofilm susceptibility in a drinking water distribution system regarding 24 hours demand curve T3 - Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014 TI - Biofilm susceptibility in a drinking water distribution system regarding 24 hours demand curve VL - 3 ID - 1120 ER - TY - CONF AB - Clustering is an important data analysis and data mining tool that is used in many fields and applications, which aims to find a homogeneous sets of objects based on the degree of similarity and dissimilarity of their attributes. One of the most popular techniques in data clustering is K-means, which is a simple, fast and efficient method that has been applied successfully in many fields. However, K-means has its own drawbacks like highly dependence on the initial solution and can easily trapped into local optima. In this paper, we investigate the behaviour of the newly created meta-heuristic optimisation algorithm called Biogeography-Based Optimisation (BBO) for data clustering with different initial solution generation mechanisms (random initial solution, sequential diversification initial solution, heuristic initial solution) that is based on the idea of migration of species between different habitats. To evaluate the performance of the proposed method, six UCI Machine Learning Repository data sets were used. The performance of the BBO algorithm was compared with well-known data-clustering algorithms that available in the literature, the experimental results showed that the BBO algorithm was able to obtain comparable results. 2014 The authors and IOS Press. All rights reserved. AU - Hammouri, Abdelaziz I. AU - Abdullah, Salwani C3 - 13th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques, SoMeT 2014, September 22, 2014 - September 24, 2014 DA - 2014 DO - 10.3233/978-1-61499-434-3-951 KW - Algorithms artificial intelligence Cluster Analysis Clustering algorithms data mining ecology Heuristic algorithms Learning systems Optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IOS Press PY - 2014 SN - 09226389 SP - 951-963 ST - Biogeography-Based optimisation for data clustering T3 - Frontiers in Artificial Intelligence and Applications TI - Biogeography-Based optimisation for data clustering UR - http://dx.doi.org/10.3233/978-1-61499-434-3-951 VL - 265 ID - 1353 ER - TY - JOUR AB - The Biological General Repository for Interaction Datasets (BioGRID: http://thebiogrid.org) is an open access database that houses genetic and protein interactions curated from the primary biomedical literature for all major model organism species and humans. As of September 2014, the BioGRID contains 749,912 interactions as drawn from 43,149 publications that represent 30 model organisms. This interaction count represents a 50% increase compared to our previous 2013 BioGRID update. BioGRID data are freely distributed through partner model organism databases and meta-databases and are directly downloadable in a variety of formats. In addition to general curation of the published literature for the major model species, BioGRID undertakes themed curation projects in areas of particular relevance for biomedical sciences, such as the ubiquitin-proteasome system and various human disease-associated interaction networks. BioGRID curation is coordinated through an Interaction Management System (IMS) that facilitates the compilation interaction records through structured evidence codes, phenotype ontologies, and gene annotation. The BioGRID architecture has been improved in order to support a broader range of interaction and post-translational modification types, to allow the representation of more complex multi-gene/protein interactions, to account for cellular phenotypes through structured ontologies, to expedite curation through semi-automated text-mining approaches, and to enhance curation quality control. AU - Chatr-Aryamontri, Andrew AU - Breitkreutz, Bobby-Joe AU - Oughtred, Rose AU - Boucher, Lorrie AU - Heinicke, Sven AU - Chen, Daici AU - Stark, Chris AU - Breitkreutz, Ashton AU - Kolas, Nadine AU - O'Donnell, Lara AU - Reguly, Teresa AU - Nixon, Julie AU - Ramage, Lindsay AU - Winter, Andrew AU - Sellam, Adnane AU - Chang, Christie AU - Hirschman, Jodi AU - Theesfeld, Chandra AU - Rust, Jennifer AU - Livstone, Michael S. AU - Dolinski, Kara AU - Tyers, Mike DA - 2015/01//undefined DO - 10.1093/nar/gku1204 IS - Database issue J2 - Nucleic Acids Res KW - *Databases, Genetic *Gene Regulatory Networks *Protein Interaction Mapping Arachidonic Acid/metabolism Disease/genetics Humans Internet L1 - internal-pdf://3896290003/Chatr-Aryamontr-2015-The BioGRID interaction d.pdf LA - eng PY - 2015 SN - 1362-4962 0305-1048 SP - D470-478 ST - The BioGRID interaction database: 2015 update T2 - Nucleic acids research TI - The BioGRID interaction database: 2015 update UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383984/pdf/gku1204.pdf VL - 43 ID - 378 ER - TY - JOUR AB - The aim of our study was to design and evaluate the efficiency of different bioinformatic approaches for selection of candidate genes associated with the human inflammatory bowel diseases (IBD), and to perform association study in IBD patients and controls for selected candidate genes. We used several bioinformatics approaches including literature data mining tools, microarray expression data analysis and pathway analysis to create candidate gene lists. Meta analysis of candidate gene lists revealed 35 potential IBD genes. Literature search showed 20/35 potential IBD genes were already tested in IBD patients and 14/20 genes showed positive association with IBD. In addition novel candidate genes were identified which have not been tested in IBD patients yet. Genes confirmed several independent association studies include genes associated with Crohn disease (NOD2/CARD15, OCTN1, OCTN2), with ulcerative colitis (MDR1/ABCB1) or with both diseases (DLG5, ICAM-1, TLR4). We have selected NOD2/CARD15 as gene with the highest number of positive association studies reported and ABCB1/MDR1 as gene with highest number of conflicting association studies reported for genotyping and association study in Slovenian IBD patients and controls. Our study confirmed an association between polymorphisms in NOD2/CARD15 gene and Crohn disease patients and association between polymorphisms and haplotypes in the multidrug resistance 1 (MDR1) gene coding for P-glycoprotein (P-gp), and refractory Crohn disease (CD) patients with severe forms of Crohn disease, which develop fistulas and do not respond to standard therapy as well as with patients with ulcerative colitis. This results suggest bioinformatics approaches were able to efficiently identify candidate genes associated with IBD.The identification of novel IBD susceptibility genes will lead to better understanding disease pathophysiology, discovery of new therapeutic targets and in better disease management. AU - Potocnik, U. AU - Mitrovic, M. AU - Glavac, D. DA - 2007 IS - 1 J2 - Journal of Applied Information Technology KW - Biochemistry data analysis data mining Diseases Genetics medical computing molecular biophysics Proteins PY - 2007 SN - 1683-1373 SP - 6-pp. ST - Bioinformatic approaches for candidate gene selection and association analysis in patients with inflammatory bowel diseases T2 - Journal of Applied Information Technology TI - Bioinformatic approaches for candidate gene selection and association analysis in patients with inflammatory bowel diseases VL - 3 ID - 1766 ER - TY - CONF AB - The number of biomedical literatures is increasing at a considerable rate, and the information is growing continuously and fast as well. Accordingly, information retrieval is more and more important to support biomedical researches. However, it often retrieves too many literatures or too few literatures for the target gene/proteins or relations. And extremely various synonyms of the gene and protein names make information retrieval more difficult to support biomedical researches. To overcome these difficulties, we propose a unified biomedical workbench with mining and probing literatures. The proposed workbench is composed of searching/collecting, literature mining, relation probing, and statistics analysis. It provides searching and collecting literatures of Pubmed articles and USPTO patents. And, to extract biomedical relations, the collected literatures are mined using text mining techniques such as named entity recognition, gene/protein name normalization, and relation extraction. Users can probe their target relations using these extracted relation information, shown in form of relation network. Finally, the workbench provides statistics information of literature meta data such as authors, organizations, publication years and so on. That is, the proposed workbench provides unified literature-based functions from searching to probing, and including text mining and statistics analysis. AU - Lim, Joon-Ho AU - Park, Soojun AU - Jang, Hyunchul AU - Park, Sunhee C3 - 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009, November 24, 2009 - November 26, 2009 DA - 2009 DO - 10.1145/1655925.1656129 KW - Character recognition information retrieval Information services Information technology Natural language processing systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2009 SP - 1122-1125 ST - BioProber2.0: A unified biomedical workbench with mining and probing literatures T3 - ACM International Conference Proceeding Series TI - BioProber2.0: A unified biomedical workbench with mining and probing literatures UR - http://dx.doi.org/10.1145/1655925.1656129 http://dl.acm.org/citation.cfm?doid=1655925.1656129 VL - 403 ID - 1248 ER - TY - JOUR AB - The main goal of this study is to compare the effects of pH, uranium concentration, and background electrolyte (seawater and NaClO4 solution) on the speciation of uranium(VI) associated with the marine bacterium Idiomarina loihiensis MAH1. This was done at the molecular level using a multidisciplinary approach combining X-ray Absorption Spectroscopy (XAS), Time-Resolved Laser-Induced Fluorescence Spectroscopy (TRLFS), and High Resolution Transmission Electron Microscopy (HRTEM). We showed that the U(VI)/bacterium interaction mechanism is highly dependent upon pH but also the nature of the used background electrolyte played a role. At neutral conditions and a U concentration ranging from 5-10(-4) to 10(-5) M (environmentally relevant concentrations), XAS analysis revealed that uranyl phosphate mineral phases, structurally resembling meta-autunite [Ca(UO2)(2)(PO4)(2) 2-6H(2)O] are precipitated at the cell surfaces of the strain MAH1. The formation of this mineral phase is independent of the background solution but U(VI) luminescence lifetime analyses demonstrated that the U(VI) speciation in seawater samples is more intricate, i. e., different complexes were formed under natural conditions. At acidic conditions, pH 2, 3 and 4.3 ([U] = 5 . 10(-4) M, background electrolyte = 0.1 M NaClO4), the removal of U from solution was due to biosorption to Extracellular Polysaccharides (EPS) and cell wall components as evident from TEM analysis. The LIII-edge XAS and TRLFS studies showed that the biosorption process observed is dependent of pH. The bacterial cell forms a complex with U through organic phosphate groups at pH 2 and via phosphate and carboxyl groups at pH 3 and 4.3, respectively. The differences in the complexes formed between uranium and bacteria on seawater compared to NaClO4 solution demonstrates that the actinide/microbe interactions are influenced by the three studied factors, i.e., the pH, the uranium concentration and the chemical composition of the solution. AU - Morcillo, Fernando AU - Gonzalez-Munoz, Maria T. AU - Reitz, Thomas AU - Romero-Gonzalez, Maria E. AU - Arias, Jose M. AU - Merroun, Mohamed L. DA - 2014/03/11/ DO - 10.1371/journal.pone.0091305 IS - 3 PY - 2014 SN - 1932-6203 SP - e91305 ST - Biosorption and Biomineralization of U(VI) by the Marine Bacterium Idiomarina loihiensis MAH1: Effect of Background Electrolyte and pH T2 - Plos One TI - Biosorption and Biomineralization of U(VI) by the Marine Bacterium Idiomarina loihiensis MAH1: Effect of Background Electrolyte and pH VL - 9 ID - 2126 ER - TY - CONF AB - Classification of data is a significant method of data analysis that can be used for intelligent decision making and neural networks are vital contrivances of such classification. Several meta-heuristic algorithms based neural network models such as genetic algorithm (GA) and differential evolution (DE) based MLP are efficiently implemented for this task. However these methods are trapped at local optima. To overcome such limitations, firefly algorithm (FA) and bird mating optimization (BMO) based MLP techniques have been proposed in the paper and tested over several bio-medical datasets like thyroid, hepatitis and heart diseases for classification. The result shows efficient classification of different patients into their diseases categories according to the data obtained from different pathological test. Springer India 2015. AU - Behera, N. K. S. AU - Routray, A. R. AU - Nayak, Janmenjoy AU - Behera, H. S. C3 - 1st International Conference on Computational Intelligence in Data Mining, ICCIDM 2014, December 20, 2014 - December 21, 2014 DA - 2015 DO - 10.1007/978-81-322-2202-6_27 KW - artificial intelligence Bioluminescence Birds Classification (of information) data mining decision making Genetic algorithms Heuristic algorithms Mathematical models Multilayers N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Science and Business Media Deutschland GmbH PY - 2015 SN - 21903018 SP - 305-315 ST - Bird mating optimization based multilayer perceptron for diseases classification T3 - Smart Innovation, Systems and Technologies TI - Bird mating optimization based multilayer perceptron for diseases classification UR - http://dx.doi.org/10.1007/978-81-322-2202-6_27 VL - 33 ID - 995 ER - TY - JOUR AB - This paper proposed a new high-dimension model representation (HDMR) based on back propagation neural network (BPNN), which is called BPNN-HDMR. The most remarkable advantage of this method lies in its ability to integrate the nonlinear function approximation capability of BP neural network and the hierarchy structure theory of high dimensional model to build an approximation model. Moreover, this method can reveal the inherent linearity or nonlinearity relationship as well as correlation with respect to input variables. The problem of modeling high dimension model is effectively tackled by reducing the computation cost from exponential growing to polynomial. Testing and comparative analysis confirm the efficiency and capability of BPNN-HDMR for high dimension nonlinear problems. Furthermore, the algorithm was applied to optimize the ROPS of Mining Dump Truck's Safety Cab. The optimized results verify the feasibility and effectiveness of the method proposed. AU - Li, Wei-Ping AU - Dou, Xian-Dong AU - Wang, Zhen-Xing AU - Liu, Chao DA - 2014 IS - 5 J2 - Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences KW - Neural networks Structural optimization Trucks N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 16742974 SP - 32-38 ST - BPNN-HDMR nonlinear metamodeling technique and its application T2 - Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences TI - BPNN-HDMR nonlinear metamodeling technique and its application VL - 41 ID - 730 ER - TY - JOUR AB - BACKGROUND: Brain network connectivity modeling is a crucial method for studying the brain's cognitive functions. Meta-analyses can unearth reliable results from individual studies. Meta-analytic connectivity modeling is a connectivity analysis method based on regions of interest (ROIs) which showed that meta-analyses could be used to discover brain network connectivity. RESULTS: In this paper, we propose a new meta-analysis method that can be used to find network connectivity models based on the Apriori algorithm, which has the potential to derive brain network connectivity models from activation information in the literature, without requiring ROIs. This method first extracts activation information from experimental studies that use cognitive tasks of the same category, and then maps the activation information to corresponding brain areas by using the automatic anatomical label atlas, after which the activation rate of these brain areas is calculated. Finally, using these brain areas, a potential brain network connectivity model is calculated based on the Apriori algorithm. The present study used this method to conduct a mining analysis on the citations in a language review article by Price (Neuroimage 62(2):816-847, 2012). The results showed that the obtained network connectivity model was consistent with that reported by Price. CONCLUSIONS: The proposed method is helpful to find brain network connectivity by mining the co-activation relationships among brain regions. Furthermore, results of the co-activation relationship analysis can be used as a priori knowledge for the corresponding dynamic causal modeling analysis, possibly achieving a significant dimension-reducing effect, thus increasing the efficiency of the dynamic causal modeling analysis. AU - Niu, Zhendong AU - Nie, Yaoxin AU - Zhou, Qian AU - Zhu, Linlin AU - Wei, Jieyao DA - 2016 DO - 10.1186/s12868-016-0257-8 IS - 1 J2 - BMC Neurosci KW - Apriori algorithm Brain network connectivity Co-activation relationship fMRI Meta-analysis Word reading LA - eng PY - 2016 SN - 1471-2202 1471-2202 SP - 23 ST - A brain-region-based meta-analysis method utilizing the Apriori algorithm T2 - BMC neuroscience TI - A brain-region-based meta-analysis method utilizing the Apriori algorithm VL - 17 ID - 12 ER - TY - JOUR AB - Associating fMRI image datasets with the available literature is crucial for the analysis and interpretation of fMRI data. Here, we present a human brain function mapping knowledge-base system (BrainKnowledge) that associates fMRI data analysis and literature search functions. BrainKnowledge not only contains indexed literature, but also provides the ability to compare experimental data with those derived from the literature. BrainKnowledge provides three major functions: (1) to search for brain activation models by selecting a particular brain function; (2) to query functions by brain structure; (3) to compare the fMRI data with data extracted from the literature. All these functions are based on our literature extraction and mining module developed earlier (Hsiao, Chen, Chen. Journal of Biomedical Informatics 42, 912-922, 2009), which automatically downloads and extracts information from a vast amount of fMRI literature and generates co-occurrence models and brain association patterns to illustrate the relevance of brain structures and functions. BrainKnowledge currently provides three co-occurrence models: (1) a structure-to-function co-occurrence model; (2) a function-to-structure co-occurrence model; and (3) a brain structure co-occurrence model. Each model has been generated from over 15,000 extracted Medline abstracts. In this study, we illustrate the capabilities of BrainKnowledge and provide an application example with the studies of affect. BrainKnowledge, which combines fMRI experimental results with Medline abstracts, may be of great assistance to scientists not only by freeing up resources and valuable time, but also by providing a powerful tool that collects and organizes over ten thousand abstracts into readily usable and relevant sources of information for researchers. AU - Hsiao, Mei-Yu AU - Chen, Chien-Chung AU - Chen, Jyh-Horng DA - 2011/03// DO - 10.1007/s12021-010-9083-9 IS - 1 L1 - internal-pdf://1245036421/Hsiao-2011-BrainKnowledge_ A Human Brain Funct.pdf PY - 2011 SN - 1539-2791 SP - 21-38 ST - BrainKnowledge: A Human Brain Function Mapping Knowledge-Base System T2 - Neuroinformatics TI - BrainKnowledge: A Human Brain Function Mapping Knowledge-Base System VL - 9 ID - 2035 ER - TY - JOUR AB - In this review we provide a systematic analysis of transcriptomic signatures derived from 42 breast cancer gene expression studies, in an effort to identify the most relevant breast cancer biomarkers using a meta-analysis method. Meta-data revealed a set of 117 genes that were the most commonly affected ranging from 12% to 36% of overlap among breast cancer gene expression studies. Data mining analysis of transcripts and protein-protein interactions of these commonly modulated genes indicate three functional modules significantly affected among signatures, one module related with the response to steroid hormone stimulus, and two modules related to the cell cycle. Analysis of a publicly available gene expression data showed that the obtained meta-signature is capable of predicting overall survival (P < 0.0001) and relapse-free survival (P < 0.0001) in patients with early-stage breast carcinomas. In addition, the identified meta-signature improves breast cancer patient stratification independently of traditional prognostic factors in a multivariate Cox proportional-hazards analysis. AU - Abba, M. C. AU - Lacunza, E. AU - Butti, M. AU - Aldaz, C. M. DA - 2010 DO - 10.4137/BMI.S5740 J2 - Biomark Insights KW - Biomarkers breast cancer gene expression signatures L1 - internal-pdf://3829176425/Abba-2010-Breast cancer biomarker discovery in.pdf LA - eng PY - 2010 SN - 1177-2719 1177-2719 SP - 103-118 ST - Breast cancer biomarker discovery in the functional genomic age: a systematic review of 42 gene expression signatures T2 - Biomarker insights TI - Breast cancer biomarker discovery in the functional genomic age: a systematic review of 42 gene expression signatures UR - http://www.la-press.com/redirect_file.php?fileId=3166&filename=2325-BMI-Breast-Cancer-Biomarker-Discovery-in-the-Functional-Genomic-Age:-A-Sys.pdf&fileType=pdf VL - 5 ID - 212 ER - TY - JOUR AB - Breast cancer is a menacing cancer, primarily affecting women. Continuous research is going on for detecting breast cancer in the early stage as the possibility of cure in early stages is bright. There are two main objectives of this current study, first establish statistics for breast cancer and second to find methodologies which can be helpful in the early stage detection of the breast cancer based on previous studies. The breast cancer statistics for incidence and mortality of the UK, US, India and Egypt were considered for this study. The finding of this study proved that the overall mortality rates of the UK and US have been improved because of awareness, improved medical technology and screening, but in case of India and Egypt the condition is less positive because of lack of awareness. The methodological findings of this study suggest a combined framework based on data mining and evolutionary algorithms. It provides a strong bridge in improving the classification and detection accuracy of breast cancer data. AU - Dubey, Ashutosh Kumar AU - Gupta, Umesh AU - Jain, Sonal DA - 2015 IS - 10 J2 - Asian Pac J Cancer Prev KW - Breast Neoplasms/*epidemiology/mortality Early Detection of Cancer Egypt/epidemiology Female Great Britain/epidemiology Health Knowledge, Attitudes, Practice Humans Incidence India/epidemiology Prevalence United States/epidemiology L1 - internal-pdf://3797244140/APJCP310731443645000.pdf LA - eng PY - 2015 SN - 1513-7368 1513-7368 SP - 4237-4245 ST - Breast cancer statistics and prediction methodology: a systematic review and analysis T2 - Asian Pacific journal of cancer prevention : APJCP TI - Breast cancer statistics and prediction methodology: a systematic review and analysis VL - 16 ID - 180 ER - TY - JOUR AB - OBJECTIVES: To assess non-health literature, identify key strategies in promoting more networked teams and groups, apply external ideas to healthcare, and build a model based on these strategies. DESIGN: A systematic review of the literature outside of healthcare. METHOD: Searches guided by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) of ABI/INFORM Global, CINAHL, IBSS, MEDLINE and Psychinfo databases following a mind-mapping exercise generating key terms centred on the core construct of gaps across organisational social structures that uncovered 842 empirical articles of which 116 met the inclusion criteria. Data extraction and content analysis via data mining techniques were performed on these articles. RESULTS: The research involved subjects in 40 countries, with 32 studies enrolling participants in multiple countries. There were 40 studies conducted wholly or partly in the USA, 46 wholly or partly in continental Europe, 29 wholly or partly in Asia and 12 wholly or partly in Russia or Russian federated countries. Methods employed included 30 mixed or triangulated social science study designs, 39 qualitative studies, 13 experimental studies and 34 questionnaire-based studies, where the latter was mostly to gather data for social network analyses. Four recurring factors underpin a model for promoting networked behaviours and fortifying cross-group cooperation: appreciating the characteristics and nature of gaps between groups; using the leverage of boundary-spanners to bridge two or more groups; applying various mechanisms to stimulate interactive relationships; and mobilising those who can exert positive external influences to promote connections while minimising the impact of those who exacerbate divides. CONCLUSIONS: The literature assessed is rich and varied. An evidence-oriented model and strategies for promoting more networked systems are now available for application to healthcare. While caution needs to be exercised in translating outside ideas and studies, drawing on non-health ideas is useful in providing insights into other sectors. AU - Braithwaite, Jeffrey DA - 2015 DO - 10.1136/bmjopen-2014-006567 IS - 9 J2 - BMJ Open KW - Collaborative care Delivery of Health Care/*organization & administration Humans Interprofessional Relations Models, Organizational Networks Patient Care Team/*organization & administration Social Networking Teamwork L1 - internal-pdf://2795514974/Braithwaite-2015-Bridging gaps to promote netw.pdf LA - eng PY - 2015 SN - 2044-6055 2044-6055 SP - e006567 ST - Bridging gaps to promote networked care between teams and groups in health delivery systems: a systematic review of non-health literature T2 - BMJ open TI - Bridging gaps to promote networked care between teams and groups in health delivery systems: a systematic review of non-health literature UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4593159/pdf/bmjopen-2014-006567.pdf VL - 5 ID - 52 ER - TY - CHAP A2 - Guo, Y. A2 - Friston, K. A2 - Faisal, A. A2 - Hill, S. A2 - Peng, H. AB - Computerized cognitive-behavioral therapy (CCBT) has been given a great amount of expectation in depression treatment as an alternative or addition to antidepressant drug. Therefore CCBT has been the subject of extensive research and trial since early 1990's. This paper aims to provide a background and primer to fellow researchers who wish to contribute in future development of CCBT. In this paper, we necessarily cannot give the complete full coverage, instead we seek to provide a brief review of CCBT's effectiveness and main drawback, complemented by discussions about possible improvement that takes advantage of latest technology in sensor and data mining. AU - Cai, Hanshu AU - Wei, Shixin AU - Han, Xue AU - Xu, Lijuan AU - Sha, Xiaocong AU - Hu, Bin PY - 2015 SN - 978-3-319-23344-4 978-3-319-23343-7 SP - 420-431 ST - Brief Discussion on Current Computerized Cognitive Behavioral Therapy T2 - Brain Informatics and Health (bih 2015) TI - Brief Discussion on Current Computerized Cognitive Behavioral Therapy VL - 9250 ID - 2109 ER - TY - JOUR AB - Following the 2009 signing of the stability agreement between the Mongolian Government and Canadian mining company Turquoise Hill Resources (formerly known as Ivanhoe Mines), researchers from Simon Fraser University secured funding from the Canadian Institutes for Health Research to conduct applied knowledge translation (KT) research that introduces health impact assessment (HIA) to Mongolia's rapidly emerging resource sector. HIA is a highly regarded informed decision-making tool that helps to identify, assess and mitigate (or promote) potential positive and negative human health impacts of policies, projects and programs. We engaged in a series of knowledge synthesis, KT and dissemination activities with key public and private sector stakeholders as well as community representatives. Our goals were to develop consensus on a socially and culturally appropriate approach to equity-focused HIA, draw on this consensus to develop a contextualized HIA toolkit, build local HIA capacity based on this toolkit, strengthen the HIA regulatory environment and provide evidence-based support for efforts to institutionalize HIA in the resource sector. These efforts have resulted in the inclusion of HIA in the environmental impact assessment law of Mongolia, and the focus has now shifted from KT to further supporting HIA institutionalization and practice. AU - Byambaa, Tsogtbaatar AU - Wagler, Meghan AU - Janes, Craig R. DA - 2014 DO - 10.1080/14615517.2014.913347 IS - 3 PY - 2014 SN - 1461-5517 SP - 241-245 ST - Bringing health impact assessment to the Mongolian resource sector: a story of successful diffusion T2 - Impact Assessment and Project Appraisal TI - Bringing health impact assessment to the Mongolian resource sector: a story of successful diffusion VL - 32 ID - 2155 ER - TY - CONF AB - We present our work on developing a software platform for mining mathematical scholarly papers to obtain a Linked Data representation. Currently, the Linking Open Data (LOD) cloud lacks up-to-date and detailed information on professional level mathematics. To our mind, the main reason for that is the absence of appropriate tools that could analyze the underlying semantics in mathematical papers and effectively build their consolidated representation. We have developed a holistic approach to analysis of mathematical documents, including ontology based extraction, conversion of the article body as well as its metadata into RDF, integration with some existing LOD data sets, and semantic search. We argue that the platform may be helpful for enriching user experience on modern online scientific collections. AU - Nevzorova, O. AU - Zhiltsov, N. AU - Zaikin, D. AU - Zhibrik, O. AU - Kirillovich, A. AU - Nevzorov, V. AU - Birialtsev, E. C3 - Semantic Web - ISWC 2013. 12th International Semantic Web Conference, 21-25 Oct. 2013 DA - 2013 DO - 10.1007/978-3-642-41335-3_24 KW - data mining data structures information retrieval mathematics computing meta data ontologies (artificial intelligence) Publishing Semantic Web text analysis PB - Springer-Verlag PY - 2013 SP - 379-94 ST - Bringing math to LOD: A semantic publishing platform prototype for scientific collections in mathematics T3 - The Semantic Web - ISWC 2013. 12th International Semantic Web Conference. Proceedings: LNCS 8218 TI - Bringing math to LOD: A semantic publishing platform prototype for scientific collections in mathematics UR - http://dx.doi.org/10.1007/978-3-642-41335-3_24 VL - pt.I ID - 1227 ER - TY - JOUR AB - Systematic review and case histories are presented; photos of reclamation works are appended. AU - Clouston, J. Brian DA - 1974 KW - COAL MINES AND MINING MINES AND MINING - Open Pit N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 1974 SP - 217-241 ST - BRITISH EXPERIENCE IN MINED-LAND RECLAMATION AND PREPLANNING OF MINERAL WORKINGS T2 - Res and Appl Technol Symp on Mined-Land Reclam, 2nd, Coal and the Environ Tech Conf, October 22, 1974 - October 24, 1974 TI - BRITISH EXPERIENCE IN MINED-LAND RECLAMATION AND PREPLANNING OF MINERAL WORKINGS ID - 748 ER - TY - JOUR AB - Document servers complying to the standards of the Open Archives Initiative (OAI) are rich, yet seldom exploited source of textual primary data for research fields in text mining, natural language processing or computational linguistics. We present a bilingual (English and German) text corpus consisting of bibliographic OAI records and the associated full texts. A particular added value is that we annotated each record with at least one Dewey Decimal Classification (DDC) number, inducing a subject-based categorization of the corpus. By this means, it can be used as training data for machine learning-based text categorization tasks in digital libraries, but also as primary data source for linguistic research on academic language use related to specific disciplines. We describe the construction of the corpus using data from the Bielefeld Academic Search Engine (BASE), as well as its characteristics. AU - Losch, M. AU - Waltinger, U. AU - Horstmann, W. AU - Mehler, A. DA - 2011 IS - 2 J2 - JoDI - Journal of Digital Information KW - Computational linguistics data mining learning (artificial intelligence) meta data natural language processing text analysis PY - 2011 SN - 1368-7506 SP - 9-pp. ST - Building a DDC-annotated Corpus from OAI Metadata T2 - JoDI - Journal of Digital Information TI - Building a DDC-annotated Corpus from OAI Metadata VL - 12 ID - 1145 ER - TY - JOUR AB - More and more grouped enterprises have expressed their requirements for distributed data management and multi-hierarchy decision support, which has brought new challenges to data warehouse technology. To fulfill the requirements, a data warehouse solution is researched. Based on an analysis to shortages of traditional centralized data warehouse, the concept and architecture of a new solution, called hybrid distributed data warehouses, are proposed. Then referring to an ongoing project, some key techniques including meta-data distribution, data extraction, OLAP analysis, user management strategy, etc., are discussed in detail. AU - Han, Lan-shan AU - Shao, Bei-en DA - 2003/01// IS - 1 J2 - Computer Integrated Manufacturing Systems KW - computer integrated manufacturing data mining Data warehouses Decision support systems distributed databases meta data PY - 2003 SN - 1006-5911 SP - 80-4 ST - Building hybrid distributed data warehouse for grouped enterprises T2 - Computer Integrated Manufacturing Systems TI - Building hybrid distributed data warehouse for grouped enterprises VL - 9 ID - 1360 ER - TY - JOUR AB - The building of models of documentary and factographic retrieval is discussed in the context of digital libraries working with documents of a fairly arbitrary structure. An overview is given of a technology for extracting factographic information from scientific documents of a fairly arbitrary structure. A model is proposed for the classification of documents in a digital library. The model is based on the use of the tolerance relationship and takes into account the possible lack of a priori given classifiers. In creating factographic systems, it is suggested that the concept of a fact should be understood as a totality of relationships, as contained in the text and document metadata, between the entities described in the information system ontology. A simple model is proposed to describe the ontology of a factographic system. AU - Barakhnin, V. B. AU - Fedotov, A. M. DA - 2014/11// DO - 10.3103/S0005105514060041 IS - 6 J2 - Automatic Documentation and Mathematical Linguistics KW - Digital Libraries information retrieval meta data ontologies (artificial intelligence) pattern classification text analysis PY - 2014 SN - 0005-1055 SP - 296-304 ST - Building models of documentary and factographic retrieval in digital libraries T2 - Automatic Documentation and Mathematical Linguistics TI - Building models of documentary and factographic retrieval in digital libraries UR - http://dx.doi.org/10.3103/S0005105514060041 VL - 48 ID - 740 ER - TY - JOUR AB - With the warehouse studio provided by Sybase corporation as the development platform, the data source of Chaoyang electric power supply company is reorganized and the data warehouse of power supply forecast is built. The technologies of data warehouse modeling, data extraction and transformation, data storage and management, metadata management and visualized data analysis are introduced. By on-line analytical processing and data-mining technology, a scientific prediction of electric power consumed in different regions is realized to provide a scientific information support to the operation decision-making and management of power supply enterprises. AU - Shi, Li AU - Tong, He AU - Li, Hongkai AU - Li, Jian DA - 2003/07/10/ IS - 13 J2 - Automation of Electric Power Systems KW - data mining Data warehouses Decision support systems load forecasting Management information systems meta data PY - 2003 SN - 1000-1026 SP - 75-7 ST - Building of a power supply prediction data warehouse T2 - Automation of Electric Power Systems TI - Building of a power supply prediction data warehouse VL - 27 ID - 1307 ER - TY - THES AB - The focus of this thesis is to use and leverage the strengths of dynamic computer program analysis methodologies in software engineering testing and debugging such as program behavior modeling and event grammars to automate the building and analysis of combat simulations. An original high level language METALS (Meta-Language for Combat Simulations) and its associated parser and C++ code generator were designed to reduce the amount of time and developmental efforts needed to build sophisticated real world combat simulations. A C++ simulation of the Navy's current mine avoidance problem in littoral waters was generated using high level METALS description in the thesis as a demonstration. The software tools that were developed will allow users to focus their attention and efforts in the problem domain while sparing them to a considerable extent the rigors of detailed implementation. AU - Yuanxin, C. CY - United States DA - 2004/12// KW - Coders COMPUTERIZED SIMULATION computer programming High level languages Latvia Littoral zones software engineering software tools Theses N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 2004 SP - 201p ST - Building Software Tools for Combat Modeling and Analysis TI - Building Software Tools for Combat Modeling and Analysis ID - 948 ER - TY - JOUR AB - BACKGROUND: The Early Cancer Detection Consortium is developing a blood-test to screen the general population for early identification of cancer, and has therefore conducted a systematic mapping review to identify blood-based biomarkers that could be used for early identification of cancer. METHODS: A mapping review with a systematic approach was performed to identify biomarkers and establish their state of development. Comprehensive searches of electronic databases Medline, Embase, CINAHL, the Cochrane library and Biosis were conducted in May 2014 to obtain relevant literature on blood-based biomarkers for cancer detection in humans. Screening of retrieved titles and abstracts was performed using an iterative sifting process known as "data mining". All blood based biomarkers, their relevant properties and characteristics, and their corresponding references were entered into an inclusive database for further scrutiny by the Consortium, and subsequent selection of biomarkers for rapid review. This systematic review is registered with PROSPERO (no. CRD42014010827). FINDINGS: The searches retrieved 19,724 records after duplicate removal. The data mining approach retrieved 3990 records (i.e. 20% of the original 19,724), which were considered for inclusion. A list of 814 potential blood-based biomarkers was generated from included studies. Clinical experts scrutinised the list to identify miss-classified and duplicate markers, also volunteering the names of biomarkers that may have been missed: no new markers were identified as a result. This resulted in a final list of 788 biomarkers. INTERPRETATION: This study is the first to systematically and comprehensively map blood biomarkers for early detection of cancer. Use of this rapid systematic mapping approach found a broad range of relevant biomarkers allowing an evidence-based approach to identification of promising biomarkers for development of a blood-based cancer screening test in the general population. AU - Uttley, Lesley AU - Whiteman, Becky L. AU - Woods, Helen Buckley AU - Harnan, Susan AU - Philips, Sian Taylor AU - Cree, Ian A. DA - 2016/08//undefined DO - 10.1016/j.ebiom.2016.07.004 J2 - EBioMedicine KW - Assay Biomarker Blood Cancer Diagnosis Early detection Systematic review L1 - internal-pdf://1350490027/main.pdf LA - eng PY - 2016 SN - 2352-3964 2352-3964 SP - 164-173 ST - Building the Evidence Base of Blood-Based Biomarkers for Early Detection of Cancer: A Rapid Systematic Mapping Review T2 - EBioMedicine TI - Building the Evidence Base of Blood-Based Biomarkers for Early Detection of Cancer: A Rapid Systematic Mapping Review VL - 10 ID - 270 ER - TY - CONF AB - While the value of data for an individual study effort is well understood by the analytic community at large, the aggregated worth of data is still astonishingly undervalued by many members of the Operations Research study community. Data can be described as the fundamental elements of information and knowledge that constitute the corporate whole, consequently its aggregated value, particularly when addressed in a context larger than an individual study, is significantly greater than the sum of the parts. Obtaining data is indispensable. To be effective it must be a continuous process within every study. It can be not only very time consuming, but also a very expensive factor in the total cost of a study effort. With the aggregate of available data growing with every study the situation becomes even more complex and the case for agreed-upon, community-wide data management standards and techniques is made even stronger. Without these standards the analyst's ability to find the necessary data for an individual study effort by traditional means decreases exponentially, and the ability to reuse existing data in future studies is reduced, thereby increasing the cost of data. To help the analyst face these challenges, the NATO Code of Best Practice for Assessment of Command and Control (COBP) introduced a Data Section. This section already defines the application domains of data engineering, meta data modeling, and efficient data re-use. However, the deeper value of these additional efforts, albeit a burden for the single study, especially for the initial efforts at introducing the respective techniques and tools, clearly show up when being seen in the broader context of multiple studies dealing with related topics. This paper extends the application of the COBP Data Section beyond the scope of a single study into the broadened study community domain, including other Operational Analysts, C3I System Developers, Social Scientists, etc. (15 briefing charts, 8 refs.). AU - Sinclair, M. R. AU - Tolk, A. DA - 2003/12// KW - Case studies Command and control systems data acquisition Data Management Data storage systems Information exchange Information systems Information theory Lessons learned Meetings Metadata Military research Nato Operations research Requirements Sources Standardization Standards Symposia User needs N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 2003 SP - 28p ST - Building up a Common Data Infrastructure TI - Building up a Common Data Infrastructure ID - 1042 ER - TY - JOUR AU - Baral, Stefan AU - Beyrer, Chris AU - Muessig, Kathryn AU - Poteat, Tonia AU - Wirtz, Andrea L. AU - Decker, Michele R. AU - Sherman, Susan G. AU - Kerrigan, Deanna DA - 2012 DP - Google Scholar IS - 7 L1 - http://www.hivsharespace.net/system/files/baral%20lancet%202012%20(1).pdf internal-pdf://0352118606/Baral-2012-Burden of HIV among female sex work.pdf PY - 2012 SP - 538-549 ST - Burden of HIV among female sex workers in low-income and middle-income countries T2 - The Lancet infectious diseases TI - Burden of HIV among female sex workers in low-income and middle-income countries: a systematic review and meta-analysis UR - http://www.sciencedirect.com/science/article/pii/S147330991270066X https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.thelancet.com%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLFhx%252B6Ws3Nrug%253D%253D%26MAID%3D9z36QTOVrHj%252B%252BtWOY76KdA%253D%253D%26JSESSIONID%3DaaaRo6PL3KXry7URgmwDv%26ORIGIN%3D799216945%26RD%3DRD&acw=&utt= http://ac.els-cdn.com.ezproxy.lib.vt.edu/S147330991270066X/1-s2.0-S147330991270066X-main.pdf?_tid=4cef459a-832d-11e6-b78d-00000aacb362&acdnat=1474814307_03e75eae442b4b4987f1728c84a8b2da VL - 12 Y2 - 2016/09/24/15:37:30 ID - 2360 ER - TY - JOUR AB - In postconflict settings, a substantial number of injuries and related disabilities are caused by land mines and explosive remnants of war. This article reviews the literature on the prevalence of these injuries and subsequent disabilities in Cambodia and Lao PDR. Three major electronic databases were systematically for publications on the prevalence of these injuries. Six studies met the inclusion criteria. Five of these were in Cambodia and 1 in Lao PDR. None of these studies could estimate national prevalence rates of these injuries; only 2 considered the broader impact of related disabilities. The different methodological approaches and limitations of the studies prevented statistical synthesis. The studies reviewed suggested accurate estimates of the prevalence of war injuries and consequent disabilities are missing. There is a need for a comprehensive epidemiological research to quantify the burden that results from such injuries. AU - Durham, Jo AU - Hoy, Damian DA - 2013/03// DO - 10.1177/1010539513478149 IS - 2 PY - 2013 SN - 1010-5395 SP - 124-133 ST - Burden of Injury From Explosive Remnants of Conflict in Lao PDR and Cambodia T2 - Asia-Pacific Journal of Public Health TI - Burden of Injury From Explosive Remnants of Conflict in Lao PDR and Cambodia UR - http://aph.sagepub.com/content/25/2/124.long VL - 25 ID - 2076 ER - TY - CONF AB - Change impact analysis is error prone and time consuming when business architecture capabilities, enterprise service models, enterprise data models and UML design models are disconnected across multiple repositories. Software architecture rapid evolution is further complicating the management of this analysis especially since software sizing is not based on techniques like function point measurement. Whilst following the Design Science Approach, this study seeks to analyze, design and implement a software prototype which integrates business architecture capabilities and design models to facilitate change impact analysis. This paper specifically reports on the findings obtained from the first stage of this design science research cycles and proposes an approach to model Business Architecture Capabilities when design specifications and models are spread over more than one repository. It also presents the requirements for a prototype to implement the principles to model Business Architecture Capabilities of disconnected design models which are obtained and confirmed from literature and through observations and interviews of solution design specialists. Therefore this paper proposes by literature, interviews and observations: (1) The need to have a tool and meta-model to model from a Business Architecture Capabilities perspective when design specifications and models are spread over more than one repository, (2), a set of requirements outline this need (3), a high level design pattern for implementing a software toolset that integrates UML design models and enterprise architecture models using a unifying meta-model. AU - Du Toit, Francois A. AU - Tanner, Maureen C3 - International MultiConference of Engineers and Computer Scientists 2015, IMECS 2015, March 18, 2015 - March 20, 2015 DA - 2015 KW - COMPUTER software Cost estimating Design Enterprise software software architecture software prototyping Specifications N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Newswood Limited PY - 2015 SN - 20780958 SP - 482-494 ST - A business architecture capability meta model and tool-set for providing function point estimation for enterprise architecture management T3 - Lecture Notes in Engineering and Computer Science TI - A business architecture capability meta model and tool-set for providing function point estimation for enterprise architecture management VL - 1 ID - 1415 ER - TY - CONF AB - Organizations always look for enhancing their efficiency and competitiveness by improving their business processes. Business Process Management includes techniques allowing continuous business process improvement. Process mining is a mature technology allowing to extract knowledge from event logs commonly available in today's information systems. Business process model extension is a process mining technique covering different perspectives of the business process. Furthermore, financial cost incurred during business process execution is prominent information needed by decision makers to take the appropriate decisions for business process improvement in terms of cost reduction. We proposed a solution allowing Petri Net model extension with cost perspective based on process mining extension technique. With respect to the recommendations drawn from interviews with experts, we improved the proposed solution in order to enhance the provided decision making support. These improvements concern three main levels: cost data structure, cost data description and cost data analysis. However, Petri Nets are not used by all organizations as a modeling notation of their business processes. Therefore, there is a need for the generalization of the proposed solution so that it can be used in the context of business processes modeled with other notations. In this paper, we propose a cost extension of the High-Level Process Structure which is a meta-model allowing the integration of different perspectives of a business process into one model independently of its notation. AU - Thabet, Dhafer AU - Ghannouchi, Sonia Ayachi AU - Ben Ghezala, Henda Hajjami C3 - 26th International Business Information Management Association Conference - Innovation Management and Sustainable Economic Competitive Advantage: From Regional Development to Global Growth, IBIMA 2015, November 11, 2015 - November 12, 2015 DA - 2015 KW - Administrative data processing Competition Cost Benefit Analysis cost reduction costs Data description data mining decision making Enterprise resource management Information Management Innovation Petri nets Process engineering Regional planning N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Business Information Management Association, IBIMA PY - 2015 SP - 44-58 ST - Business process model extension with cost perspective based on process mining - Cost data description and analysis T3 - Proceedings of the 26th International Business Information Management Association Conference - Innovation Management and Sustainable Economic Competitive Advantage: From Regional Development to Global Growth, IBIMA 2015 TI - Business process model extension with cost perspective based on process mining - Cost data description and analysis ID - 1683 ER - TY - CONF AB - Since Ehud Shapiro's "Algorithmic debugging", in 1983, there has been a continuous, even if not very abundant, flow of work on tracing and debugging for (constraint) logic programming. The tutorial presents trace production techniques, ranging from compiler instrumentations to dedicated meta-interpreters. It reviews work on trace analysis, in particular algorithmic, declarative and rational debugging. It discusses the issue of trace querying and driving. Last but not least, it describes the latest software engineering research on trace mining. Throughout the presentation, we stress the importance of the nature of the trace data used by the techniques. We show that CLP techniques have inspired a number of work in other communities. We argue that trace mining techniques can easily be applied to CLP. AU - Ducasse, M. C3 - Logic Programming. 25th International Conference, ICLP 2009, 14-17 July 2009 DA - 2009 DO - 10.1007/978-3-642-02846-5_7 KW - constraint handling data mining Program compilers Program debugging query processing software engineering PB - Springer Verlag PY - 2009 SP - 38 ST - (C)LP tracing and debugging T3 - Logic Programming. Proceedings 25th International Conference, ICLP 2009 TI - (C)LP tracing and debugging UR - http://dx.doi.org/10.1007/978-3-642-02846-5_7 ID - 999 ER - TY - JOUR AB - Coronary artery disease (CAD) is currently a prevalent disease from which many people suffer. Early detection and treatment could reduce the risk of heart attack. Currently, the golden standard for the diagnosis of CAD is angiography, which is an invasive procedure. In this article, we propose an algorithm that uses data mining techniques, a fuzzy expert system, and the imperialist competitive algorithm (ICA), to make CAD diagnosis by a non-invasive procedure. The ICA is used to adjust the fuzzy membership functions. The proposed method has been evaluated with the Cleveland and Hungarian datasets. The advantage of this method, compared with others, is the interpretability. The accuracy of the proposed method is 94.92% by 11 rules, and the average length of 4. To compare the colonial competitive algorithm with other metaheuristic algorithms, the proposed method has been implemented with the particle swarm optimization (PSO) algorithm. The results indicate that the colonial competition algorithm is more efficient than the PSO algorithm. 2014. The Korean Institute of Information Scientists and Engineers. AU - Mahmoodabadi, Zahra AU - Abadeh, Mohammad Saniee DA - 2014 DO - 10.5626/JCSE.2014.8.2.87 IS - 2 J2 - Journal of Computing Science and Engineering KW - Algorithms Computer aided design data mining decision trees Diagnosis Diseases Expert systems Independent component analysis Membership functions Noninvasive medical procedures Particle swarm optimization (PSO) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 19764677 SP - 87-93 ST - CADICA: Diagnosis of coronary artery disease using the imperialist competitive algorithm T2 - Journal of Computing Science and Engineering TI - CADICA: Diagnosis of coronary artery disease using the imperialist competitive algorithm UR - http://dx.doi.org/10.5626/JCSE.2014.8.2.87 VL - 8 ID - 1057 ER - TY - JOUR AB - Workers at a copper and lead smelter in northern Sweden have a multifactorial exposure to a number of heavy metals. The concentrations of cadmium, copper and zinc in Liver, Lung, kidney and brain tissues have been deters mined by atomic absorption spectrometry in 32 deceased tong-term exposed male lead smelter workers, and compared with those of 10 male controls. Furthermore, copper and zinc Levels in hair and nails were determined by energy-dispersive X-ray fluorescence. The highest cadmium concentrations among both workers and controls were observed in kidney, followed in order by liver, lung and brain. The levels in kidney, Liver and Lung were all significantly higher in the workers than in the controls (p < 0.03). Among the workers relatively strong positive correlations (p < 0.03) were observed between cadmium concentrations in liver and lung, liver and kidney, liver and brain, and lung and brain. In the exposed workers a positive correlation was observed between cadmium and zinc concentrations in the kidney (r(s) = 0.38; p = 0.034). This is probably mainly due to the protein metallothionein, which is stored in the kidney, binding equimolar amounts of these two metals. The highest concentrations of copper were found in hair and nails among both workers and controls, followed in order by liver, brain, kidney and Lung. The tissue concentrations of copper in brain, Lung and kidney were all significantly higher among the smelter workers than in the controls (p less than or equal to 0.036). Copper Levels in lung and age at time of death were positively correlated among the exposed workers (r(s) = 0.39; p = 0.029). In the same group, positive correlations between copper and zinc concentrations in kidney (r(s) = 0.45; p = 0.009) and nails (r(s) = 0.68; p < 0.001) were also observed, reflecting possible biological interactions between these two metals. Among both workers and controls, the highest zinc concentrations were found in hair, followed in order by nails, liver, kidney, brain and lung. Significantly higher tissue concentrations among the workers as compared with the reference group were noted in kidney, liver and brain (p &LE; 0.033). Neither copper nor zinc concentrations in hair and nails seemed to provide a useful measure of the trace element status of the smelter workers.Workers at a copper and lead smelter in northern Sweden have a muttifactodal exposure to a number of heavy metals. The concentrations of cadmium, copper and zinc in Liver, Lung, kidney and brain tissues have been deters mined by atomic absorption spectrometry in 32 deceased tong-term exposed male lead smelter workers, and compared with those of 10 male controls. Furthermore, copper and zinc Levels in hair and nails were determined by energy-dispersive X-ray fluorescence. The highest cadmium concentrations among both workers and controls were observed in kidney, followed in order by liver, lung and brain. The levels in kidney, Liver and Lung were all significantly higher in the workers than in the controls (p < 0.03). Among the workers reLativety strong positive correlations (p < 0.03) were observed between cadmium concentrations in liver and lung, liver and kidney, liver and brain, and lung and brain. In the exposed workers a positive correlation was observed between cadmium and zinc concentrations in the kidney (r, = 0.38; p = 0.034). This is probably mainly due to the protein meta llothionei n, which is stored in the kidney, binding equimolar amounts of these two metals. The highest concentrations of copper were found in hair and nails among both workers and controls, followed in order by liver, brain, kidney and Lung. The tissue concentrations of copper in brain, Lung and kidney were all significantLy higher among the smelter workers than in the controls (p &LE;0.036). Copper Levels in lung and age at time of death were positively correlated among the exposed workers (r(s) = 0.39; p = 0.029). In the same group, positive correlations between copper and zinc concentrations in kidney (r(s) = 0.45; p = 0.009) and nails (r(x) = 0.68; p < 0.0 1) were also observed, reflecting possible biological interactions between these two metals. Among both workers and controls, the highest zinc concentrations were found in hair, followed in order by naits, liver, kidney, brain and lung. Significantly higher tissue concentrations among the workers as compared with the reference group were noted in kidney, liver and brain (p < 0.033). Neither copper nor zinc concentrations in hair and nails seemed to provide a useful measure of the trace element status of the smelter workers. AU - Gerhardsson, L. AU - Englyst, V. AU - Lundstrom, N. G. AU - Sandberg, S. AU - Nordberg, G. DA - 2002 DO - 10.1016/S0946-672X(02)80055-4 IS - 4 L1 - internal-pdf://1840019304/Gerhardsson-2002-Cadmium, copper and zinc in t.pdf PY - 2002 SN - 0946-672X SP - 261-266 ST - Cadmium, copper and zinc in tissues of deceased copper smelter workers T2 - Journal of Trace Elements in Medicine and Biology TI - Cadmium, copper and zinc in tissues of deceased copper smelter workers VL - 16 ID - 2236 ER - TY - JOUR AB - The relationship between obesity, diabetes, hyperlipidemia, hypertension, kidney disease and cardiovascular disease (CVD) is established when looked at from a clinical, epidemiological or pathophysiological perspective. Yet, when viewed from a genetic perspective, there is comparatively little data synthesis that these conditions have an underlying relationship. We sought to investigate the overlap of genetic variants independently associated with each of these commonly co-existing conditions from the NHGRI genome-wide association study (GWAS) catalog, in an attempt to replicate the established notion of shared pathophysiology and risk. We used pathway-based analyses to detect subsets of pleiotropic genes involved in similar biological processes. We identified 107 eligible GWAS studies related to CVD and its established comorbidities and risk factors and assigned genes that correspond to the associated signals based on their position. We found 44 positional genes shared across at least two AU - Gottesman, Omri AU - Drill, Esther AU - Lotay, Vaneet AU - Bottinger, Erwin AU - Peter, Inga DA - 2012 DO - 10.1371/journal.pone.0046419 IS - 9 J2 - PLoS One KW - *Genetic Pleiotropy African Continental Ancestry Group Coronary Artery Disease/epidemiology/ethnology/*genetics data mining Diabetes Mellitus/ethnology/*genetics European Continental Ancestry Group Genetic Predisposition to Disease Genome-Wide Association Study Humans Hyperlipidemias/ethnology/*genetics Hypertension/ethnology/*genetics Kidney Diseases/ethnology/*genetics Obesity/ethnology/*genetics Polymorphism, Single Nucleotide Risk Factors United States/epidemiology L1 - internal-pdf://3862691477/Gottesman-2012-Can genetic pleiotropy replicat.pdf LA - eng PY - 2012 SN - 1932-6203 1932-6203 SP - e46419 ST - Can genetic pleiotropy replicate common clinical constellations of cardiovascular disease and risk? T2 - PloS one TI - Can genetic pleiotropy replicate common clinical constellations of cardiovascular disease and risk? UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3460880/pdf/pone.0046419.pdf VL - 7 ID - 226 ER - TY - CONF AB - Recent advances of preservation technologies have led to an increasing number of Web archive systems and collections. These collections are valuable to explore the past of the Web, but their value can only be uncovered with effective access and exploration mechanisms. Ideal search and rank- ing methods must be robust to the high redundancy and the temporal noise of contents, as well as scalable to the huge amount of data archived. Despite several attempts in Web archive search, facilitating access to Web archive still remains a challenging problem. In this work, we conduct a first analysis on different rank- ing strategies that exploit evidences from metadata instead of the full content of documents. We perform a first study to compare the usefulness of non-content evidences to Web archive search, where the evidences are mined from the metadata of file headers, links and URL strings only. Based on these findings, we propose a simple yet surprisingly effective learning model that combines multiple evidences to distinguish "good" from \bad" search results. We conduct empirical experiments quantitatively as well as qualitatively to confirm the validity of our proposed method, as a first step towards better ranking in Web archives taking meta- data into account. AU - Vo, Khoi Duy AU - Tran, Tuan AU - Nguyen, Tu Ngoc AU - Zhu, Xiaofei AU - Nejdl, Wolfgang C3 - 8th ACM Web Science Conference, WebSci 2016, May 22, 2016 - May 25, 2016 DA - 2016 DO - 10.1145/2908131.2908165 KW - Metadata World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2016 SP - 173-182 ST - Can we find documents in web archives without knowing their contents? T3 - WebSci 2016 - Proceedings of the 2016 ACM Web Science Conference TI - Can we find documents in web archives without knowing their contents? UR - http://dx.doi.org/10.1145/2908131.2908165 ID - 573 ER - TY - CONF AB - Automating the process of parallel performance experimentation, analysis, and problem diagnosis can enhance environments for performance-directed application development, compilation, and execution. This is especially true when parametric studies, modeling, and optimization strategies require large amounts of data to be collected and processed for knowledge synthesis and reuse. This paper describes the integration of the PerfExplorer performance data mining framework with the OpenUH compiler infrastructure. OpenUH provides auto-instrumentation of source code for performance experimentation and PerfExplorer provides automated and reusable analysis of the performance data through a scripting interface. More importantly, PerfExplorer inference rules have been developed to recognize and diagnose performance characteristics important for optimization strategies and modeling. Three case studies are presented which show our success with automation in OpenMP and MPI code tuning, parametric characterization, Pand power modeling. The paper discusses how the integration supports performance knowledge engineering across applications and feedback-based compiler optimization in general. AU - Huck, K. A. AU - Hernandez, O. AU - Bui, V. AU - Chandrasekaran, S. AU - Chapman, B. AU - Malony, A. D. AU - McInnes, L. C. AU - Norris, B. C3 - 2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis, 15-21 Nov. 2008 DA - 2008 DO - 10.1109/SC.2008.5222642 KW - data mining knowledge engineering parallel programming Program compilers program diagnostics software performance evaluation PB - IEEE PY - 2008 SP - 10-pp. ST - Capturing performance knowledge for automated analysis T3 - 2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis TI - Capturing performance knowledge for automated analysis UR - http://dx.doi.org/10.1109/SC.2008.5222642 ID - 1108 ER - TY - JOUR AU - Palmer, Keith T. AU - Harris, E. Clare AU - Coggon, David DA - 2007 DP - Google Scholar IS - 1 PY - 2007 SP - 57-66 ST - Carpal tunnel syndrome and its relation to occupation T2 - Occupational Medicine TI - Carpal tunnel syndrome and its relation to occupation: a systematic literature review UR - http://occmed.oxfordjournals.org/content/57/1/57.1.short http://occmed.oxfordjournals.org/content/57/1/57.1.long VL - 57 Y2 - 2016/09/24/15:39:07 ID - 2376 ER - TY - JOUR AB - Process mining aims to extract knowledge from the event logs maintained by a company's ERP system. The objective of this paper is to make the case for why internal and external auditors should leverage the capabilities process mining offers to rethink how auditing is carried out. We do so by identifying the sources of value added of process mining when applied to auditing, which are as follows: 1. process mining analyzes the entire population of data and not just a sample; 2. critically that data consists of meta-data-data entered independently of the actions of auditee-and not just data entered by the auditee; 3 process mining allows the auditor to have a more effective way of implementing the audit risk model by providing effective ways of conducting the required walkthroughs of processes and conducting analytic procedures; 4. process mining allows the auditor to conduct analyses not possible with existing audit tools, such as discovering the ways in which business processes are actually being carried out in practice, and to identify social relationships between individuals. It is our argument that these sources of value have not been fully understood in the process mining literature, which has focused on developing it as a statistical methodology rather than on applying it to audit practice. Only when auditors and audit researchers appreciate what is new and unique about process mining will its acceptance in auditing practice become feasible. (C) 2012 Elsevier Inc. All rights reserved. AU - Jans, Mieke AU - Alles, Michael AU - Vasarhelyi, Miklos DA - 2013/03// DO - 10.1016/j.accinf.2012.06.015 IS - 1 PY - 2013 SN - 1467-0895 SP - 1-20 ST - The case for process mining in auditing: Sources of value added and areas of application T2 - International Journal of Accounting Information Systems TI - The case for process mining in auditing: Sources of value added and areas of application UR - http://www.sciencedirect.com/science/article/pii/S1467089512000462 VL - 14 ID - 2140 ER - TY - JOUR AB - An investigation was carried out to know the quantitative mineralogical composition of various grain size fractions in soil samples collected from Bettadabidu, Sargur and Doddakanya(magnesite mines) around Mysore district. The methods used for determination of particle size distribution are sieve analysis and hydrometer test. There are different types of soils present in these areas and classified according to Folk's classification system. The majority of rock types of the research area have been identified namely calc silicate, gneiss and meta-pelite (garnet biotite schist), amphibolite, banded iron formation and ultramafic rock. Grain size greater than 2mm was considered as gravel, between 2 to 0.05 mm was sand and in between 0.05 to 0.002 mm was silt. The grain size lesser than 0.002 mm was considered as clay (USDA Classification System). Geological map of the study area has been prepared with help of GIS tools. 2012 CAFET-INNOVA TECHNICAL SOCIETY. AU - Rad, Narges Gohari AU - Prakash Narasimha, K. N. AU - Madesh, P. DA - 2012 IS - 6 J2 - International Journal of Earth Sciences and Engineering KW - Geographic information systems Grain size and shape Magnesite mines Mica Particle size analysis Silicates N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 09745904 SP - 1552-1559 ST - A case study of particle size distribution of paleosols around Sargur Supracrustal terrain, Dharwar Craton, South India T2 - International Journal of Earth Sciences and Engineering TI - A case study of particle size distribution of paleosols around Sargur Supracrustal terrain, Dharwar Craton, South India VL - 5 ID - 634 ER - TY - JOUR AB - In general, cases capture knowledge and concrete experiences of specific situations. By exploiting case-based knowledge for characterizing a subgroup pattern, additional information about the subgroup objects can be provided. This paper proposes a case-based approach for characterizing and analyzing subgroup patterns: It presents techniques for retrieving characteristic factors and a set of corresponding cases for the inspection and analysis of a specific sub group pattern. Then, the set of factors and cases are merged into prototypical cases for presentation to the user. Such an alternative view on the subgroup pattern provides important introspective information on the subgroup objects, that is, the cases covered by the subgroup description: Using drill down techniques, the user can perform a detailed introspection of a subgroup pattern using prototypical pattern cases. Additionally, these enable a convenient retrieval of interesting (meta-)information associated with the respective sub group objects. AU - Atzmueller, M. AU - Puppe, F. DA - 2008/06// DO - 10.1007/s10489-007-0057-z IS - 3 J2 - Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies KW - case-based reasoning data mining L1 - internal-pdf://3138376569/Atzmueller-2008-A case-based approach for char.pdf PY - 2008 SN - 0924-669X SP - 210-21 ST - A case-based approach for characterization and analysis of subgroup patterns T2 - Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies TI - A case-based approach for characterization and analysis of subgroup patterns UR - http://dx.doi.org/10.1007/s10489-007-0057-z VL - 28 ID - 1458 ER - TY - CONF AB - We review concepts, principles, and tools that unify current approaches to causal analysis, and attend to new challenges presented by big data. In particular, we address the problem of data-fusion-- piecing together multiple datasets collected under heterogeneous conditions (i.e., different populations, regimes, and sampling methods) so as to obtain valid answers to queries of interest. The avail- ability of multiple heterogeneous datasets presents new opportunities, since the knowledge that can be acquired from combined data would not be possible from any individual source alone. However, the biases that emerge in heterogeneous environments require new analytical tools. Some of these biases, including confounding, sampling selection, and cross-population biases, have been addressed in isolation, largely in restricted models. We here present a general, non-parametric framework for handling these biases and, ultimately, a theoretical solution to the problem of data-fusion in causal and counterfactual inference. AU - Bareinboim, E. AU - Pearl, J. DA - 2015/06// KW - Algorithms bias Covariance data fusion data mining Demography Experimental design Graphs Heterogeneity Information processing Knowledge management Learning machines Mathematical analysis Network architecture Pattern recognition Probability distribution functions Random variables Relational data bases Semantics Statistical inference Target classificatio N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 2015 SP - 9p ST - Causal Inference from Big Data: Theoretical Foundations and the Data-fusion Problem TI - Causal Inference from Big Data: Theoretical Foundations and the Data-fusion Problem ID - 1583 ER - TY - JOUR AB - Expression of CD44, a transmembrane hyaluronan-binding glycoprotein, is variably considered to have prognostic significance for different cancers, including oral squamous cell carcinoma. Although unclear at present, tissue-specific expression of particular isoforms of CD44 might underlie the different outcomes in currently available studies. We mined public transcriptomics databases for gene expression data on CD44, and analyzed normal, immortalized and tumour-derived human cell lines for splice variants of CD44 at both the transcript and protein levels. Bioinformatics readouts, from a total of more than 15,000 analyses, implied an increased CD44 expression in head and neck cancer, including increased expression levels relative to many normal and tumor tissue types. Also, meta-analysis of over 260 cell lines and over 4,000 tissue specimens of diverse origins indicated lower CD44 expression levels in cell lines compared to tissue. With minor exceptions, reverse transcribed polymerase chain reaction identified expression of the four main isoforms of CD44 in normal oral keratinocytes, transformed lines termed DT and HaCaT, and a series of paired primary and metastasis-derived cell lines from oral or pharyngeal carcinomas termed HN4/HN12, HN22/HN8 and HN30/HN31. Immunocytochemistry, Western blotting and flow cytometric assessments all confirmed the isoform expression pattern at the protein level. Overall, bioinformatic processing of large numbers of global gene expression analyses demonstrated elevated CD44 expression in head and neck cancer relative to other cancer types, and that the application of standard cell culture protocols might decrease CD44 expression. Additionally, the results show that the many variant CD44 exons are not fundamentally deregulated in a diverse range of cultured normal and transformed keratinocyte lines. AU - Rajarajan, Abirami AU - Stokes, Angela AU - Bloor, Balvinder K. AU - Ceder, Rebecca AU - Desai, Hemini AU - Grafstrom, Roland C. AU - Odell, Edward W. DA - 2012/01/05/ DO - 10.1371/journal.pone.0028776 IS - 1 PY - 2012 SN - 1932-6203 SP - e28776 ST - CD44 Expression in Oro-Pharyngeal Carcinoma Tissues and Cell Lines T2 - Plos One TI - CD44 Expression in Oro-Pharyngeal Carcinoma Tissues and Cell Lines VL - 7 ID - 1980 ER - TY - CONF AB - The proceedings contain 8 papers. The topics discussed include: advanced study of SDN/OpenFlow controllers; DPMine/P: modeling and process mining language and ProM plug-ins; evolutionary software development using procedural-parametric programming; forecasting software development project characteristics using meta-modeling; GLR-based abstract parsing; lightweight Linux dynamic libraries profiling technique for embedded systems; lock manager for own product; QReal:robots - an environment for teaching computer science and robotics in schools; static analysis for dynamic updates; and the role of configuration management in outsourcing and distributed development. AU - Puntikov, Nikolay AU - Terekhov, Andrey N. AU - Tsepkov, Maxim C3 - 9th Central and Eastern European Software Engineering Conference in Russia, CEE-SECR 2013, October 24, 2013 - October 25, 2013 DA - 2013 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2013 SP - RUSSOFT-Association ST - CEE-SECR 2013 - Proceedings: 9th Central and Eastern European Software Engineering Conference in Russia T3 - ACM International Conference Proceeding Series TI - CEE-SECR 2013 - Proceedings: 9th Central and Eastern European Software Engineering Conference in Russia ID - 536 ER - TY - JOUR AB - BACKGROUND: Thoracic aortic surgeries remain with high mortality rates, often associated with postoperative neurological complications. The choice of the right cannulation site is extremely important for suitable blood supply and maintenance of vital functions, especially of the central nervous system. OBJECTIVES: To compare the influence of central versus peripheral arterial cannulation on neurological outcomes in patients undergoing thoracic aortic surgery through systematic review and meta-analysis. METHODS: MEDLINE, EMBASE, CENTRAL/CCTR, SciELO, LILACS and reference lists of relevant articles were searched for clinical studies that reported in-hospital neurological outcomes after central or peripheral arterial cannulation during thoracic aortic surgery procedures until December 2013. The principal summary measures were Odds Ratio (OR) for central compared to peripheral arterial cannulation with 95% confidence interval (CI) and p-values considered statistically significant when <0.05. The ORs were combined across studies, using the DerSimonian-Laird random effects model and fixed effects model using the Mantel-Haenszel model--both models were weighted. The meta-analysis was completed using the software Comprehensive Meta-Analysis version 2 (Biostat Inc., Englewood, NJ). RESULTS: Six studies were identified and included a total of 4459 patients (1180 for central and 3279 for peripheral cannulation). There was no significant difference between the central and peripheral groups regarding neurological outcomes. The meta-regression evidenced no relationship between neurological outcomes and the variables age, sex, previous coronary event, previous neurological event, urgency surgery, cardiopulmonary bypass time, activated clotting time and esophageal temperature with p > 0,05. CONCLUSION: When it comes to neurological outcomes in patients undergoing thoracic aortic surgery, there was no evidence that argues in favor of any choice of arterial cannulation site, which makes us reject any superiority of one approach over the other in this regard. AU - Chalegre, S. T. AU - Sa, M. P. B. O. AU - de Rueda, F. Goncalves AU - Salerno, P. R. AU - Vasconcelos, F. P. AU - Lima, R. C. DA - 2015/07//undefined DO - 10.1177/0267659114547379 IS - 5 J2 - Perfusion KW - *Cardiac Surgical Procedures/adverse effects/methods *Catheterization/adverse effects/methods *Nervous System Diseases/etiology/mortality *Postoperative Complications/etiology/mortality Age Factors Aorta, Thoracic/*surgery cardiopulmonary bypass data mining Female Humans Male Meta-analysis outcome assessment Sex Factors Software stroke thoracic aorta LA - eng PY - 2015 SN - 1477-111X 0267-6591 SP - 383-388 ST - Central versus peripheral arterial cannulation and neurological outcomes after thoracic aortic surgery: meta-analysis and meta-regression of 4459 patients T2 - Perfusion TI - Central versus peripheral arterial cannulation and neurological outcomes after thoracic aortic surgery: meta-analysis and meta-regression of 4459 patients UR - http://prf.sagepub.com/content/30/5/383.long VL - 30 ID - 25 ER - TY - CONF AB - The proceedings contain 9 papers. The topics discussed include: crossing the chasm with semantic technologies; CROCUS: cluster-based ontology data cleansing; IRIS: a protege plug-in to extract and serialize product attribute name-value pairs; ontology design patterns: adoption challenges and solutions; mapping representation based on meta-data and SPIN for localization workflows; WaSABi 2014: breakout brainstorming session summary; a linked data approach to sentiment and emotion analysis of Twitter in the financial domain; analyzing stock market fraud cases using a linguistics-based text mining approach; predicting the impact of central bank communications on financial market investors' interest rate expectations; predicting stocks returns correlations based on unstructured data sources; and crossing the chasm with semantic technologies. C3 - Joint 2nd International Workshop on Semantic Web Enterprise Adoption and Best Practice, WaSABi 2014 and 2nd International Workshop on Finance and Economics on the Semantic Web, FEOSW 2014 - Co-located with 11th European Semantic Web Conference, ESWC 2014, May 26, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - CEUR-WS PY - 2014 SN - 16130073 SP - 132 ST - CEUR Workshop Proceedings T3 - CEUR Workshop Proceedings TI - CEUR Workshop Proceedings VL - 1240 ID - 538 ER - TY - CONF AB - Clinical systematic reviews are based on expert, laborious search of well-annotated literature. Boolean search on bibliographic databases, such as MEDLINE, continues to be the preferred discovery method, but the size of these databases, now approaching 20 million records, makes it impossible to fully trust these searching methods. We are investigating the trade-offs between Boolean and ranked retrieval. Our findings show that although Boolean search has limitations, it is not obvious that ranking is superior, and illustrate that a single query cannot be used to resolve an information need. Our experiments show that a combination of less complicated Boolean queries and ranked retrieval outperforms either of them individually, leading to possible time savings over the current process. Copyright 2009 ACM. AU - Karimi, Sarvnaz AU - Zobel, Justin AU - Pohl, Stefan AU - Scholer, Falk C3 - 3rd ACM International Workshop on Data and Text Mining in Bioinformatics, DTMBIO'09, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009, November 2, 2009 - November 6, 2009 DA - 2009 DO - 10.1145/1651318.1651338 KW - Bibliographic retrieval systems bioinformatics Information services Knowledge management L1 - internal-pdf://2907797398/p89-karimi.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2009 SP - 89-92 ST - The challenge of high recall in biomedical systematic search T3 - International Conference on Information and Knowledge Management, Proceedings TI - The challenge of high recall in biomedical systematic search UR - http://dx.doi.org/10.1145/1651318.1651338 http://dl.acm.org/citation.cfm?doid=1651318.1651338 ID - 565 ER - TY - JOUR AB - BACKGROUND: The volume of data, the velocity with which they are generated, and their variety and lack of structure hinder their use. This creates the need to change the way information is captured, stored, processed, and analyzed, leading to the paradigm shift called Big Data. OBJECTIVES: To describe the challenges and possible solutions for developing countries when implementing Big Data projects in the health sector. METHODS: A non-systematic review of the literature was performed in PubMed and Google Scholar. The following keywords were used: "big data", "developing countries", "data mining", "health information systems", and "computing methodologies". A thematic review of selected articles was performed. RESULTS: There are challenges when implementing any Big Data program including exponential growth of data, special infrastructure needs, need for a trained workforce, need to agree on interoperability standards, privacy and security issues, and the need to include people, processes, and policies to ensure their adoption. Developing countries have particular characteristics that hinder further development of these projects. CONCLUSIONS: The advent of Big Data promises great opportunities for the healthcare field. In this article, we attempt to describe the challenges developing countries would face and enumerate the options to be used to achieve successful implementations of Big Data programs. AU - Luna, D. AU - Mayan, J. C. AU - Garcia, M. J. AU - Almerares, A. A. AU - Househ, M. DA - 2014 DO - 10.15265/IY-2014-0012 J2 - Yearb Med Inform KW - Big data computing methodologies data mining developing countries health information systems LA - eng PY - 2014 SN - 2364-0502 0943-4747 SP - 36-41 ST - Challenges and potential solutions for big data implementations in developing countries T2 - Yearbook of medical informatics TI - Challenges and potential solutions for big data implementations in developing countries VL - 9 ID - 319 ER - TY - JOUR AB - Assessing the presence of human pathogenic Cryptosporidium oocysts in surface water remains a significant water treatment and public health challenge. Most drinking water suppliers rely on fecal indicators, such as the well-established Escherichia coli (E. coli), to avoid costly Cryptosporidium assays. However, the use of E. coli has significant limitations in predicting the concentration, the removal and the transport of Cryptosporidium. This study presents a meta-analysis of E. coli to Cryptosporidium concentration paired ratios to compare their complex relationships in eight municipal wastewater sources, five agricultural fecal pollution sources and at 13 drinking water intakes (DWI) to a risk threshold based on US Environmental Protection Agency (USEPA) regulations. Ratios lower than the USEPA risk threshold suggested higher concentrations of oocysts in relation to E. coli concentrations, revealing an underestimed risk for Cryptosporidium based on E. coli measurements. In raw sewage (RS), high ratios proved E. coli (or fecal coliforms) concentrations were a conservative indicator of Cryptosporidium concentrations, which was also typically true for secondary treated wastewater (TWW). Removals of fecal indicator bacteria (FIB) and parasites were quantified in WWTPs and their differences are put forward as a plausible explanation of the sporadic ratio shift. Ratios measured from agricultural runoff surface water were typically lower than the USEPA risk threshold and within the range of risk misinterpretation. Indeed, heavy precipitation events in the agricultural watershed led to high oocyst concentrations but not to E. coli or enterococci concentrations. More importantly, ratios established in variously impacted DWI from 13 Canadian drinking water plants were found to be related to dominant fecal pollution sources, namely municipal sewage. In most cases, when DWIs were mainly influenced by municipal sewage, E. coli or fecal coliforms concentrations agreed with Cryptosporidium concentrations as estimated by the meta-analysis, but when DWIs were influenced by agricultural runoff or wildlife, there was a poor relationship. Average recovery values were available for 6 out of 22 Cryptosporidium concentration data sets and concomitant analysis demonstrated no changes in trends, with and without correction. Nevertheless, recovery assays performed along with every oocyst count would have enhanced the precision of this work. Based on our findings, the use of annual averages of E. coli concentrations as a surrogate for Cryptosporidium concentrations can result in an inaccurate estimate of the Cryptosporidium risk for agriculture impacted drinking water intakes or for intakes with more distant wastewater sources. Studies of upstream fecal pollution sources are recommended for drinking water suppliers to improve their interpretation of source water quality data. 2014 Elsevier Ltd. AU - Lalancette, Cindy AU - Papineau, Isabelle AU - Payment, Pierre AU - Dorner, Sarah AU - Servais, Pierre AU - Barbeau, Benoit AU - Di Giovanni, George D. AU - Prevost, Michele DA - 2014 DO - 10.1016/j.watres.2014.01.050 J2 - Water Research KW - Agriculture Environmental Protection Agency Escherichia coli Potable water Risk Assessment Risk perception Sewage Surface waters Wastewater treatment Water analysis Water pollution Water quality L1 - internal-pdf://3494425132/Lalancette-2014-Changes in Escherichia coli to.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 00431354 SP - 150-161 ST - Changes in Escherichia coli to Cryptosporidium ratios for various fecal pollution sources and drinking water intakes T2 - Water Research TI - Changes in Escherichia coli to Cryptosporidium ratios for various fecal pollution sources and drinking water intakes UR - http://dx.doi.org/10.1016/j.watres.2014.01.050 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0043135414000906/1-s2.0-S0043135414000906-main.pdf?_tid=d47302c4-833f-11e6-9c18-00000aacb35f&acdnat=1474822265_06609099a172efc8b303df256ca557a5 VL - 55 ID - 859 ER - TY - JOUR AB - Glaciers in the Andes of Chile seem to be shrinking and possibly loosing mass, but the number and types of studies conducted, constrained mainly by data availability, are not sufficient to provide a synopsis of glacier changes for the past or future or explain in an explicit way causes of the observed changes. In this paper, we provide a systematic review of changes in glaciers for the entire country, followed by a discussion of the studies that have provided evidence of such changes. We identify a missing type of work in distributed, physically-oriented modelling studies that are needed to bridge the gap between the numerous remote sensing studies and the specific, point scale works focused on process understanding. We use an advanced mass balance model applied to one of the best monitored glaciers in the region to investigate four main research issues that should be addressed in modelling studies for a sound assessment of glacier changes: 1) the use of physically-based models of glacier ablation (energy balance models) versus more empirical models (enhanced temperature index approaches); 2) the importance of the correct extrapolation of air temperature forcing on glaciers and in high elevation areas and the large uncertainty in model outputs associated with it; 3) the role played by snow gravitational redistribution; and 4) the uncertainty associated with future climate scenarios. We quantify differences in model outputs associated with each of these choices, and conclude with suggestions for future work directions. 2013 Elsevier B.V. AU - Pellicciotti, F. AU - Ragettli, S. AU - Carenzo, M. AU - McPhee, J. DA - 2014 DO - 10.1016/j.scitotenv.2013.10.055 J2 - Science of the Total Environment KW - Climate models Energy balance Gravitation REMOTE SENSING Uncertainty analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 00489697 SP - 1197-1210 ST - Changes of glaciers in the Andes of Chile and priorities for future work T2 - Science of the Total Environment TI - Changes of glaciers in the Andes of Chile and priorities for future work UR - http://dx.doi.org/10.1016/j.scitotenv.2013.10.055 VL - 493 ID - 506 ER - TY - JOUR AB - Ironstone ore can be a valuable source of iron and silicon for the production of silicomanganese and other alloys. This paper provides analyses of the chemical and phase composition of ironstone and information on the reduction of ironstone by carbon monoxide at temperatures in the range 8001150C. Ironstone was provided as crushed and a lumpy ore. Crushed ironstone ore contained higher Fe2O3concentration (40.6wt-%) and lower SiO2content (44.3wt-%) compared to the lumpy one (21.2wt-% Fe2O3, 68.9wt-% SiO2). The main phases in the ore detected by XRD and SEM/EDS analyses were haematite and quartz. Two major reactions were observed upon heating ironstone in CO atmosphere, namely; partial reduction of iron oxides and formation of fayalite. The rate of fayalite formation increased with increasing temperature. Ore porosity significantly decreased upon heating. Ore softening and partial melting started at 11001150C with a significant negative effect on iron oxide reduction. The weight loss of the crushed ore increased with increasing temperature to 1000C and decreased when the temperature increased further to 1150C. The weight loss of lumpy ore decreased with increasing temperature from 1100 to 1150C. Based on the analysis using LECO oxygen analyser, the degree of iron oxide reduction in the crushed ore was estimated to be 82.4% at 1000C, 68.8% at 1100C and 33.1% at 1150C. The degree of iron oxide reduction in the lumpy ore was 79.5% at 1000C, 82.7% at 1100C and 47.2% at 1150C. No metallic iron was detected by XRD in samples heated in CO atmosphere at 1150C, although a small amount of metallic iron was observed in SEM/EDS analysis. Equilibrium phases in the reduction of ironstone ores by CO were calculated using MPE model and compared with experimental data, these calculations also provided useful data on behaviour of ironstone during reduction at different temperatures. 2016 Institute of Materials, Minerals and Mining and The AusIMM. AU - Maroufi, S. AU - Ciezki, G. AU - Jahanshahi, S. AU - Ostrovski, O. DA - 2016 DO - 10.1080/03719553.2016.1160608 IS - 2 J2 - Transactions of the Institutions of Mining and Metallurgy, Section C: Mineral Processing and Extractive Metallurgy KW - Carbon Carbon monoxide Chemical analysis Cobalt Hematite Iron Iron ore reduction Iron oxides Ore analysis Ore reduction Ores Reduction Silicon oxides Temperature N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 03719553 SP - 95-102 ST - Characterisation and reduction of ironstone ore by CO gas T2 - Transactions of the Institutions of Mining and Metallurgy, Section C: Mineral Processing and Extractive Metallurgy TI - Characterisation and reduction of ironstone ore by CO gas UR - http://dx.doi.org/10.1080/03719553.2016.1160608 VL - 125 ID - 917 ER - TY - JOUR AU - Duan, Guilin AU - Smith, Vedene H. AU - Weaver, Donald F. DA - 2000 DP - Google Scholar IS - 19 L1 - internal-pdf://2757990230/Duan-2000-Characterization of aromatic-amide (.pdf PY - 2000 SP - 4521-4532 ST - Characterization of aromatic-amide (side-chain) interactions in proteins through systematic ab initio calculations and data mining analyses T2 - The Journal of Physical Chemistry A TI - Characterization of aromatic-amide (side-chain) interactions in proteins through systematic ab initio calculations and data mining analyses UR - http://pubs.acs.org/doi/abs/10.1021/jp993381f http://pubs.acs.org.ezproxy.lib.vt.edu/doi/pdfplus/10.1021/jp993381f VL - 104 Y2 - 2016/09/24/16:07:56 ID - 2439 ER - TY - JOUR AB - Six phenol-degrading bacteria designated as PND-1-PND-6 were isolated from natural soil. PND-1-PND-6 were from the genera of Pseudomonas, Acinetobacter, Comamonas and Cupriavidus, respectively. All these strains were able to utilize phenol as the sole carbon source to support their growth. Five of them could tolerate the phenol concentration up to 6 mM or more, while strain PND-3 could tolerate only 1 mM of phenol. The sequences of the partial largest subunit of multicomponent phenol hydroxylase (LmPH) gene were compared among these strains. It was found that the physiological groupings in the phylogenetic tree formed by their 16S rDNA sequences were correlated with that of based on their partial amino acid sequences of LmPH, which indicated the potential application of LmPH as a molecular marker for the phylogenetic analysis of phenol-degrading strains. Four of the six strains degraded phenol through catechol ortho fission pathway, whereas strain PND-3 and PND-6 harbored the both ortho and meta fission pathways simultaneously. 2008 Elsevier Ltd. All rights reserved. AU - Dong, Xiaojun AU - Hong, Qing AU - He, Lijuan AU - Jiang, Xin AU - Li, Shunpeng DA - 2008 DO - 10.1016/j.ibiod.2008.01.011 IS - 3 J2 - International Biodeterioration and Biodegradation KW - Amines Amino acids Bacteriology Concentration (process) Mine flooding Organic acids Phenols Soils Strain L1 - internal-pdf://3770864243/Dong-2008-Characterization of phenol-degrading.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2008 SN - 09648305 SP - 257-262 ST - Characterization of phenol-degrading bacterial strains isolated from natural soil T2 - International Biodeterioration and Biodegradation TI - Characterization of phenol-degrading bacterial strains isolated from natural soil UR - http://dx.doi.org/10.1016/j.ibiod.2008.01.011 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0964830508000279/1-s2.0-S0964830508000279-main.pdf?_tid=c988eff2-8332-11e6-9397-00000aacb360&acdnat=1474816663_98c8a66ef6338ece6c7258dd3f1d563f VL - 62 ID - 557 ER - TY - JOUR AB - Motivation: Data from metagenomics projects remain largely untapped for the analysis of transcriptional regulatory networks. Here, we provide proof-of-concept that metagenomic data can be effectively leveraged to analyze regulatory networks by characterizing the SOS meta-regulon in the human gut microbiome. Results: We combine well-established in silico and in vitro techniques to mine the human gut microbiome data and determine the relative composition of the SOS network in a natural setting. Our analysis highlights the importance of translesion synthesis as a primary function of the SOS response. We predict the association of this network with three novel protein clusters involved in cell wall biogenesis, chromosome partitioning and restriction modification, and we confirm binding of the SOS response transcriptional repressor to sites in the promoter of a cell wall biogenesis enzyme, a phage integrase and a death-on-curing protein. We discuss the implications of these findings and the potential for this approach for metagenome analysis. AU - Cornish, Joseph P. AU - Sanchez-Alberola, Neus AU - O'Neill, Patrick K. AU - O'Keefe, Ronald AU - Gheba, Jameel AU - Erill, Ivan DA - 2014/05/01/ DO - 10.1093/bioinformatics/btt753 IS - 9 L1 - internal-pdf://3650265134/Cornish-2014-Characterization of the SOS meta-.pdf PY - 2014 SN - 1367-4803 SP - 1193-1197 ST - Characterization of the SOS meta-regulon in the human gut microbiome T2 - Bioinformatics TI - Characterization of the SOS meta-regulon in the human gut microbiome UR - http://bioinformatics.oxfordjournals.org/content/30/9/1193.full.pdf VL - 30 ID - 2096 ER - TY - JOUR AU - Horsley, Tanya AU - Dingwall, Orvie AU - Sampson, Margaret DA - 2011 DP - Google Scholar PY - 2011 ST - Checking reference lists to find additional studies for systematic reviews T2 - The Cochrane Library TI - Checking reference lists to find additional studies for systematic reviews UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.MR000026.pub2/full Y2 - 2016/09/24/15:37:30 ID - 2364 ER - TY - JOUR AB - The chemical properties of water in the only flooded sulphur opencast mine in the world have been analysed. The reservoir has a depth of 22 m and is still continuously pumped, which affects the deeper tertiary aquifer. Instead of quaternary water being pumped out, tertiary water flows into the reservoir. Mineralisation of the water in this reservoir varied from 2000 to 10,000 mg dm(-3) near the bottom. Light penetrates to 8-10 m and this photic layer is oxygenated. The hypolimnion is only partially oxygenated and contains H2S. The monimolimnion is salty and also poisoned by H2S. Discriminant analysis shows three layers: upper 0-10 m, transitional 10-15 m and bottom 15-22 m. Variability of the chemical properties is negligible through the year, excluding special situations such as ice melting. The transitional layer is rich in SO42- - about 1000 mg dm(-3) and unionized H2S. S2- oxidation is very intensive, excess CaSO4 precipitates at a depth of 10 m resulting in opacity. Above and below, these concentrations diminish. For this zone a new name is proposed: the katalimnion. In the bottom layer, NO3- does not occur - whereas there is a high concentration of NH4+. Discrimination on the basis of chemical parameters divides the vertical profile into three levels: epi- + meta- + upper half of the hypolimnion, lower half of the hypolimnion and monimolimnion. This indicates that for sampling, three levels might be sufficient. The same analysis used for time showed a low differentiation in the annual cycle. These results can help in optimizing the monitoring scheme for this pit lake and reducing its cost. AU - Zurek, Roman DA - 2006/06// DO - 10.1007/s10452-005-9024-0 IS - 2 PY - 2006 SN - 1386-2588 SP - 135-153 ST - Chemical properties of water in a flooded opencast sulphur mine T2 - Aquatic Ecology TI - Chemical properties of water in a flooded opencast sulphur mine VL - 40 ID - 2118 ER - TY - JOUR AB - A rank series consisting of twelve vitrinite concentrates and companion whole-coal samples from mined coal beds in the eastern United States, England, and Australia were analyzed for C, H, N, O, ash and 47 trace and minor elements by standard elemental, instrumental neutron activation analysis (INAA), and direct-current arc spectrographic (DCAS) techniques. The reflectance of vitrinite, atomic H:C and O:C, and ash-free carbon data were used to determine ranks that range from high-volatile C bituminous coal to metal anthracite. AU - Lyons, Paul C. AU - Palmer, Curtis A. AU - Bostick, Neely H. AU - Fletcher, Janet D. AU - Dulong, Frank T. AU - Brown, Floyd W. AU - Brown, Zeo Ann AU - Krasnow, Marta R. AU - Romankiw, Lisa A. DA - 1989 IS - 1-4 J2 - International Journal of Coal Geology KW - Coal Coal Deposits--United States Geology--Coal N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 1989 SN - 01665162 SP - 481-527 ST - Chemistry and origin of minor and trace elements in vitrinite concentrates from a rank series from the eastern United States, England, and Australia T2 - International Journal of Coal Geology TI - Chemistry and origin of minor and trace elements in vitrinite concentrates from a rank series from the eastern United States, England, and Australia VL - 13 ID - 672 ER - TY - JOUR AB - This study describes the use of near infrared (NIR) spectroscopy in combination with chemometrics to characterise Combretum erythrophyllum plant material to determine differences in the chemical profiles of samples harvested from mine contaminated areas and those of natural populations. The chemometric computation of near infrared vibrational spectra was used to generate principal component analysis and partial least squares models. These models were used to determine seasonal differences in the chemical matrices of samples harvested from the mine sites with different levels of contamination. Principal component analysis scatter plots illustrated clustering of phenolic profiles of samples depending on whether they originated from contaminated or uncontaminated soils. A partial least squares model was developed to link the variations in the chemical composition and levels of contamination in all samples collected in the same season (autumn). The levels of total soluble phenolic compounds in leaf extracts of C. erythrophyllum were measured using the Folin-Ciocalteau assay. Data analysis of the samples revealed that plants harvested from mine sites, particularly in summer, produced a higher level of phenolic compounds than those of the natural population, thereby displaying a good correlation with the chemometric models. (C) 2012 Elsevier B.V. All rights reserved. AU - Mokgalaka-Matlala, N. S. AU - Regnier, T. AU - Combrinck, S. AU - Kouekam, C. R. AU - Weiersbye, I. M. DA - 2013/01// DO - 10.1016/j.saa.2012.04.010 PY - 2013 SN - 1386-1425 SP - 138-143 ST - Chemometrics and vibrational spectroscopy as green tools for mine phytoremediation strategies T2 - Spectrochimica Acta Part a-Molecular and Biomolecular Spectroscopy TI - Chemometrics and vibrational spectroscopy as green tools for mine phytoremediation strategies VL - 100 ID - 2188 ER - TY - JOUR AB - To assess the beneficial and adverse effects of orally therapies of Chinese herb formulae (CHF) for erectile dysfunction (ED), four electronic databases were searched until 23 June 2012. Randomised clinical trials testing CHF or combined with Western medicine therapy (WMT) against placebo, another different CHF and WMT were included. Study selection, data extraction, assessing of bias risk and data analysis were conducted according to the Cochrane handbook. Twenty-one randomised controlled clinical trials (involving 2253 patients) were included, and the bias risks were not low. Funnel plots of comparing CHF to another CHF on the clinical comprehensive effectiveness were asymmetrical. The compositions of CHF used were greatly complex. The analyses showed that some CHF or combined with WMT had significant effects on cure rate, total clinical effective rates, IIEF-5 scores, erectile quality scores, erection angles of penis and recovery times of erection compared with the controls. Eight trials reported mild adverse drug reactions, mostly involving gastrointestinal symptoms. It was concluded that some therapies of CHF may be more effective than the controls for treatment of ED. However, because of the generally not low risks of bias, CHF are not recommended for ED. Further research that demonstrates their mechanisms of action and meaningful efficacies must be carried out by rigorously designed, randomised controlled trials. AU - Xiong, G. AU - Li, B. AU - Wang, K. AU - Li, H. DA - 2014/04//undefined DO - 10.1111/and.12074 IS - 3 J2 - Andrologia KW - *Phytotherapy Chinese traditional medicine data mining Drugs, Chinese Herbal/*therapeutic use Erectile Dysfunction Erectile Dysfunction/*drug therapy/physiopathology Humans Male Publication Bias Randomized Controlled Trials as Topic Systematic review Treatment Outcome LA - eng PY - 2014 SN - 1439-0272 0303-4569 SP - 201-223 ST - Chinese herb formulae for treatment of erectile dysfunction: a systematic review of randomised controlled clinical trials T2 - Andrologia TI - Chinese herb formulae for treatment of erectile dysfunction: a systematic review of randomised controlled clinical trials VL - 46 ID - 137 ER - TY - CONF AB - We propose a new model called linguistic entity relationship model (LERM) for the Chinese syntactic parsing. In this model, we implement the analysis algorithm based on the analysis and verification of the linguistic entity relationship modes that are extracted and defined to describe the most basic syntactic and semantic structures. Compared with the corpus-based and rule-based methods, we neither manually write a large number of rules as used in traditional rule-based methods nor use the corpus to train the model. We only use the few meta-rules to describe the grammars. A Chinese syntactic parsing system based on the model is developed, and its performance of syntactic parsing outperforms the corpus-based baseline system. 2013 Springer-Verlag Berlin Heidelberg. AU - Yin, Dechun C3 - 18th International Conference on Application of Natural Language to Information Systems, NLDB 2013, June 19, 2013 - June 21, 2013 DA - 2013 DO - 10.1007/978-3-642-38824-8_43 KW - data mining Information systems Linguistics Natural language processing systems Semantics Syntactics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2013 SN - 03029743 SP - 380-383 ST - Chinese sentence analysis based on linguistic entity-relationship model T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Chinese sentence analysis based on linguistic entity-relationship model UR - http://dx.doi.org/10.1007/978-3-642-38824-8_43 VL - 7934 LNCS ID - 1291 ER - TY - CONF AB - In this paper, we present a new parsing method for Chinese based on a newly proposed linguistic entity relationship model. In the model, we extract and define the linguistic entity relationship modes to describe the most basic syntactic and semantic structures of Chinese, and use the relationship modes as the foundation to implement the parsing algorithm. Compared with the rule-based and corpus-based methods, we neither manually write a large number of rules as used in traditional rule-based methods nor use the corpus to train the model. We only use the few meta-rules to describe the grammars in the parsing procedure. The system performance of syntactic parsing based on the model outperforms the corpus-based baseline system. Copyright 2013 ACM. AU - Yin, Dechun C3 - 22nd ACM International Conference on Information and Knowledge Management, CIKM 2013, October 27, 2013 - November 1, 2013 DA - 2013 DO - 10.1145/2505515.2507839 KW - data mining Knowledge management Linguistics Semantics Syntactics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2013 SP - 1541-1544 ST - Chinese syntactic parsing based on linguistic entity-relationship model T3 - International Conference on Information and Knowledge Management, Proceedings TI - Chinese syntactic parsing based on linguistic entity-relationship model UR - http://dx.doi.org/10.1145/2505515.2507839 ID - 986 ER - TY - JOUR AB - Chromothripsis is a single catastrophic event that can lead to massive genomic rearrangements confined to one or a few chromosomes. It provides an alternative paradigm in cancer development and changes the conventional view that cancer develops in a stepwise progression. The mechanisms underlying chromothripsis and their specific impact on tumorigenesis are still poorly understood, and further examination of a large number of identified chromothripsis samples is needed. Unfortunately, this data are difficult to access, as they are scattered across multiple publications, come in different formats and descriptions, or are hidden in figures and supplementary materials. To improve access to this data and promote meta-analysis, we developed ChromothripsisDB, a manually curated database containing a unified description of all published chromothripsis cases and relevant genomic aberrations. Currently, 423 chromothripsis samples representing 107 research articles are included in our database. ChromothripsisDB represents an extraordinary resource for mining the existing knowledge of chromothripsis, and will facilitate the identification of mechanisms involved in this phenomenon. AVAILABILITY AND IMPLEMENTATION: ChromothripsisDB is freely available at http://cgma.scu.edu.cn/ChromothripsisDB CONTACT: haoyang.cai@scu.edu.cn SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. AU - Yang, Jian AU - Deng, Gaofeng AU - Cai, Haoyang DA - 2016/05/01/ DO - 10.1093/bioinformatics/btv757 IS - 9 J2 - Bioinformatics LA - eng PY - 2016 SN - 1367-4811 1367-4803 SP - 1433-1435 ST - ChromothripsisDB: a curated database of chromothripsis T2 - Bioinformatics (Oxford, England) TI - ChromothripsisDB: a curated database of chromothripsis VL - 32 ID - 196 ER - TY - CONF AB - Subscriber churn is a concern of customer care management for most of the mobile and wireless service providers and operators due to its associated costs. This paper explains our work on subscriber churn analysis and prediction for such services. We work on data mining techniques to accurately and efficiently predict subscribers who will change-and-turn (churn) to another provider for the same or similar service. The dataset we use is a public and real dataset compiled by Orange Telecom for the KDD 2009 Competition. Number of teams achieved high scores on this dataset requiring a significant amount of computing resources. We are aiming to find alternative methods that can match or improve the recorded high scores with more efficient and practical use of resources. In this study, we focus on ensemble of meta-classifiers which have been studied individually and chosen according to their performances. AU - Yabas, U. AU - Cankaya, H. C. C3 - 5th IEEE International Workshop on Management of Emerging Networks and Services 2013. IEEE Globecom Workshops (GC Wkshps), 9-13 Dec. 2013 DA - 2013 DO - 10.1109/GLOCOMW.2013.6825120 KW - customer relationship management data mining mobile radio Telecommunication services PB - IEEE PY - 2013 SP - 991-5 ST - Churn prediction in subscriber management for mobile and wireless communications services T3 - 5th IEEE International Workshop on Management of Emerging Networks and Services 2013. IEEE Globecom Workshops (GC Wkshps) TI - Churn prediction in subscriber management for mobile and wireless communications services UR - http://dx.doi.org/10.1109/GLOCOMW.2013.6825120 ID - 1344 ER - TY - CONF AB - Users of Information Retrieval systems have often been the target group of Human-Computer Interaction researchers. A lot of effort has been spent inventing new forms of visualizations to support the information seeking process. 1 Information Retrieval and Information Visualization are tight coupled fields of research.2 Together with psychology (which answers questions like 'how' do users search) and usability engineering (answering questions like 'what' do user expect from user interfaces and their behaviour) the research on improving information seeking systems goes on. This paper will concentrate on a meta-data driven, user-centered approach for the query formulation stage. In contrast to the intense research on result-set visualizations we will focus on the development of a visualization which supports human search behaviour at the query stage. Additionally this visualization proved that it can compete with other visualizations like the scatter-plot as a visual filter in the result-set presentation. 2005 SPIE and ISTV. AU - Klein, Peter AU - Reiterer, Harald C3 - Proceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2005, January 17, 2005 - January 18, 2005 DA - 2005 DO - 10.1117/12.584540 KW - data mining Geographic information systems Human computer interaction information retrieval Metadata Query languages Signal filtering and prediction User interfaces visualization L1 - internal-pdf://4097631994/Klein-2005-The CircleSegmentView - A visualiza.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SPIE PY - 2005 SN - 0277786X SP - 327-338 ST - The CircleSegmentView - A visualization for query preview and visual filtering T3 - Proceedings of SPIE - The International Society for Optical Engineering TI - The CircleSegmentView - A visualization for query preview and visual filtering UR - http://dx.doi.org/10.1117/12.584540 http://proceedings.spiedigitallibrary.org.ezproxy.lib.vt.edu/data/Conferences/SPIEP/25905/327_1.pdf VL - 5669 ID - 797 ER - TY - CONF AB - Context: The pool of papers published in ESEM. Objective: To utilize citation analysis and automated topic analysis to characterize the SE research literature over the years focusing on those papers published in ESEM. Method: We collected data from Scopus database consisting of 513 ESEM papers. For thematic analysis, we used topic modeling to automatically generate the most probable topic distributions given the data. Results: Nearly 42% of the papers have not been cited at all but the effect seems to wear off as time passes. Using text mining of article titles and abstracts, we found that currently the most popular research topics in the ESEM community are: systematic reviews, testing, defects, cost estimation, and team work. Conclusions: While this study analyzes the paper pool of the ESEM symposium, the approach can easily be applied to any other sub-set of SE papers to conduct large scale studies. Due to large volumes of research in SE, we suggest using the automated analysis of bibliometrics as we have done in this paper. AU - Raulamo-Jurvanen, P. AU - Mantyla, M. V. AU - Garousi, V. C3 - 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 22-23 Oct. 2015 DA - 2015 DO - 10.1109/ESEM.2015.7321193 KW - Citation Analysis data mining software engineering text analysis PB - IEEE PY - 2015 SP - 1-4 ST - Citation and Topic Analysis of the ESEM Papers T3 - 2015 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). Proceedings TI - Citation and Topic Analysis of the ESEM Papers UR - http://dx.doi.org/10.1109/ESEM.2015.7321193 ID - 799 ER - TY - CONF AB - Objective: To automatically detect duplicate citations in a bibliographical database. Background: Citations retrieved from multiple search databases have different forms making manual and automatic detection of duplicates difficult. Existing methods rely on fuzzy-similarity measures which are error-prone. Methods: We analysed four pairs of original search results from MEDLINE and EMBASE that were used to create systematic reviews. An automatic tool deduplicated citations by first enriching citations with Digital Object Identifiers (DOI), and/or other unique identifiers. Duplication of records was then determined by comparing these unique identifiers. We compared our method with the duplicate detection function of a popular citation management desktop application in several configurations. Results: Citation Enrichment identified 93 % (range 86 %-100 %) of the duplicates indexed online and erroneously marked 3 % (range 0 %-6 %) documents as duplicates. The citation management application found 68 % (range 64 %-72 %) without error using default setting. When set for highest deduplication, the citation management application found 94 % of duplicates (range 77 %-100 %) and 4 % error (range 0 %-8 %). Conclusion: Citation enrichment using unique identifiers enhances automatic deduplication. On its own, the approach seems slightly superior to tools that compare citations without enrichment. Methods that combine citation enrichment with existing fuzzy-matching may substantially reduce resource requirements of evidence synthesis. AU - Choong, M. K. AU - Thorning, S. AU - Tsafnat, G. C3 - Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, 19-21 May 2015 DA - 2015 DO - 10.1007/978-3-319-25660-3_20 KW - Citation Analysis fuzzy set theory inference mechanisms information retrieval Pattern matching PB - Springer International Publishing PY - 2015 SP - 237-44 ST - Citation enrichment improves deduplication of primary evidence T3 - Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH. Revised Selected Papers: LNCS 9441 TI - Citation enrichment improves deduplication of primary evidence UR - http://dx.doi.org/10.1007/978-3-319-25660-3_20 ID - 758 ER - TY - CONF AB - To reveal information hiding in link space of biblio- graphical networks, link analysis has been studied from different perspectives in recent years. In this paper, we address a novel problem namely citation prediction, that is: given information about authors, topics, target publication venues as well as time of certain research paper, finding and predicting the citation relationship between a query paper and a set of previous papers. Considering the gigantic size of relevant papers, the loosely connected citation network structure as well as the highly skewed citation relation distribution, citation prediction is more challenging than other link prediction problems which have been studied before. By building a meta-path based prediction model on a topic discrim- inative search space, we here propose a two-phase cita- Tion probability learning approach, in order to predict citation relationship effectively and efficiently. Exper- iments are performed on real-world dataset with com- prehensive measurements, which demonstrate that our framework has substantial advantages over commonly used link prediction approaches in predicting citation relations in bibliographical networks. Copyright 2012 by the Society for Industrial and Applied Mathematics. AU - Yu, Xiao AU - Gu, Quanquan AU - Zhou, Mianwei AU - Han, Jiawei C3 - 12th SIAM International Conference on Data Mining, SDM 2012, April 26, 2012 - April 28, 2012 DA - 2012 KW - data mining Forecasting Space division multiple access N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Society for Industrial and Applied Mathematics PY - 2012 SP - 1119-1130 ST - Citation prediction in heterogeneous bibliographic networks T3 - Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012 TI - Citation prediction in heterogeneous bibliographic networks ID - 1081 ER - TY - JOUR AB - This study uses data mining techniques to examine the effect of various demographic, cognitive and psychographic factors on Egyptian citizens use of e-government services. Multi-layer perceptron neural network (MLP), probabilistic neural network (PNN), classification and regression trees (CART), and multivariate adaptive regression splines (MARS) are compared to a standard statistical method (linear discriminant analysis (LDA). The variable sets considered are sex, age, educational level, e-government services perceived usefulness, ease of use, compatibility, subjective norms, trust, civic mindedness, and attitudes. The study shows how it is possible to identify various dimensions of e-government services usage behavior by uncovering complex patterns in the dataset, and also shows the classification abilities of data mining techniques. AU - Mostafa, Mohamed M. DA - 2013 PY - 2013 SP - 583-591 ST - CITIZENS AS CONSUMERS: PROFILING E-GOVERNMENT SERVICES' USERS IN EGYPT VIA DATA MINING TECHNIQUES T2 - Economic and Social Development: 2nd International Scientific Conference Book of Proceedings TI - CITIZENS AS CONSUMERS: PROFILING E-GOVERNMENT SERVICES' USERS IN EGYPT VIA DATA MINING TECHNIQUES ID - 1996 ER - TY - JOUR AU - Gough, David AU - Thomas, James AU - Oliver, Sandy DA - 2012 DP - Google Scholar IS - 1 PY - 2012 SP - 1 ST - Clarifying differences between review designs and methods T2 - Systematic reviews TI - Clarifying differences between review designs and methods UR - http://systematicreviewsjournal.biomedcentral.com/articles/10.1186/2046-4053-1-28 VL - 1 Y2 - 2016/09/24/15:37:02 ID - 2353 ER - TY - JOUR AU - Longadge, Rushi AU - Dongre, Snehalata DA - 2013 DP - Google Scholar L1 - http://arxiv.org/pdf/1305.1707 PY - 2013 ST - Class imbalance problem in data mining review T2 - arXiv preprint arXiv:1305.1707 TI - Class imbalance problem in data mining review UR - http://arxiv.org/abs/1305.1707 Y2 - 2016/09/24/16:07:04 ID - 2428 ER - TY - CONF AB - The Semantic Web enables people and computers to interact and exchange information. Based on Semantic Web technologies, different machine learning applications have been designed. Particularly important is the possibility to create complex metadata descriptions for any problem domain, based on pre-defined ontologies. In this paper we evaluate the use of a semantic similarity measure based on pre-defined ontologies as an input for a classification analysis in the context of social network analysis. A link prediction between actors of two real world social networks is performed, which could serve as a recommendation system. The social networks involve different types of relations and nodes. We measure the prediction performance based on a semantic similarity measure as well as traditional approaches. The findings demonstrate that the prediction accuracy based on the semantic similarity is comparable to traditional approaches and shows that data mining on complex social networks using ontology-based metadata can be considered as a very promising approach. AU - Opuszko, M. AU - Ruhland, J. C3 - 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), 26-29 Aug. 2012 DA - 2012 DO - 10.1109/ASONAM.2012.179 KW - data mining learning (artificial intelligence) meta data ontologies (artificial intelligence) pattern classification Recommender systems Semantic Web Social networking (online) PB - IEEE Computer Society PY - 2012 SP - 1032-9 ST - Classification Analysis in Complex Online Social Networks Using Semantic Web Technologies T3 - 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012). Proceedings TI - Classification Analysis in Complex Online Social Networks Using Semantic Web Technologies UR - http://dx.doi.org/10.1109/ASONAM.2012.179 ID - 1542 ER - TY - CONF AB - NeuroinformaticsNatural Language Processing (NeuroNLP) relies on clustering and classification for information categorization of biologically relevant extraction targets and for interconnections to knowledge-related patterns in event and text mined datasets. The accuracy of machine learning algorithms depended on quality of text-mined data while efficacy relied on the context of the choice of techniques. Although developments of automated keyword extraction methods have made differences in the quality of data selection, the efficacy of the Natural Language Processing (NLP) methods using verified keywords remain a challenge. In this paper, we studied the role of text classification and document clustering algorithms on datasets, where features were obtained by mapping to manually verified MESH terms published by National Library of Medicine (NLM). In this study, NLP data classification involved comparing 8techniques and unsupervised learning was performed with 6 clustering algorithms. Most classification techniques except meta-based algorithms namely stacking and vote, allowed 90% or higher training accuracy. Test accuracy was high (=95%) probably due to limited test dataset. Logistic Model Trees had 30-fold higher runtime compared to other classification algorithms including Naive Bayes, AdaBoost, Hoeffding Tree. Grouped error rate in clustering was 0-4%. Runtime-wise, clustering was faster than classification algorithms on MESH-mapped NLP data suggesting clustering methods as adequate towards Medline-related datasets and text-mining big data analytic systems. AU - Melethadathil, N. AU - Chellaiah, P. AU - Nair, B. AU - Diwakar, S. C3 - 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 10-13 Aug. 2015 DA - 2015 DO - 10.1109/ICACCI.2015.7275751 KW - Big data bioinformatics data mining natural language processing pattern classification pattern clustering text analysis Trees (mathematics) unsupervised learning PB - IEEE PY - 2015 SP - 1065-70 ST - Classification and clustering for neuroinformatics: assessing the efficacy on reverse-mapped NeuroNLP data using standard ML techniques T3 - 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI) TI - Classification and clustering for neuroinformatics: assessing the efficacy on reverse-mapped NeuroNLP data using standard ML techniques UR - http://dx.doi.org/10.1109/ICACCI.2015.7275751 ID - 1264 ER - TY - JOUR AB - Context: Architecture-centric software evolution (ACSE) enables changes in system's structure and behaviour while maintaining a global view of the software to address evolution-centric trade-offs. The existing research and practices for ACSE primarily focus on design-time evolution and runtime adaptations to accommodate changing requirements in existing architectures. Objectives: We aim to identify, taxonomically classify and systematically compare the existing research focused on enabling or enhancing change reuse to support ACSE. Method: We conducted a systematic literature review of 32 qualitatively selected studies and taxonomically classified these studies based on solutions that enable (i) empirical acquisition and (ii) systematic application of architecture evolution reuse knowledge (AERK) to guide ACSE. Results: We identified six distinct research themes that support acquisition and application of AERK. We investigated (i) how evolution reuse knowledge is defined, classified and represented in the existing research to support ACSE and (ii) what are the existing methods, techniques and solutions to support empirical acquisition and systematic application of AERK. Conclusions: Change patterns (34% of selected studies) represent a predominant solution, followed by evolution styles (25%) and adaptation strategies and policies (22%) to enable application of reuse knowledge. Empirical methods for acquisition of reuse knowledge represent 19% including pattern discovery, configuration analysis, evolution and maintenance prediction techniques (approximately 6% each). A lack of focus on empirical acquisition of reuse knowledge suggests the need of solutions with architecture change mining as a complementary and integrated phase for architecture change execution. Copyright 2014 John Wiley Sons, Ltd. AU - Ahmad, A. AU - Jamshidi, P. AU - Pahl, C. DA - 2014/07// DO - 10.1002/smr.1643 IS - 7 J2 - Journal of Software: Evolution and Process KW - data mining pattern classification software architecture software maintenance software reusability L1 - internal-pdf://1129566413/Ahmad-2014-Classification and comparison of ar.pdf PY - 2014 SN - 2047-7473 SP - 654-91 ST - Classification and comparison of architecture evolution reuse knowledge-a systematic review T2 - Journal of Software: Evolution and Process TI - Classification and comparison of architecture evolution reuse knowledge-a systematic review UR - http://dx.doi.org/10.1002/smr.1643 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/smr.1643/asset/smr1643.pdf?v=1&t=itipxf71&s=c8dfe8d3d26e8c39760a1c4ca7e9a841d80f6460 VL - 26 ID - 1327 ER - TY - CONF AB - In this article we present an application of Artificial Intelligence for estimation of software projects. The research presented herein was based on several methods of classification and metaclassification. Due to increasing significance of Open Source, we have selected projects being hosted on the leading platform for Open Source projects Sourceforge.net. In the first part of article, we describe steps of data extraction which was a large scale task because the datasource contained tens of tables and hundreds of fields, that were originally gathered to be used by project management web-based system. Therefore extraction of meaningful data required analysis of databases structure and transformation of sets of records into a four datasets. These datasets were used to predict four factors important to project management i.e skills, time, costs an effectiveness. Later, we present the results of experiments, that were performed using C4.5, RandomTree and CART algorithms. In the final part of this article, we describe how boosting and bagging metaclassifiers were applied to improve the results and we also analyse influence of their parameters on generalization abilities an prediction accuracy. 2010 IEEE. AU - Dzega, Dorota AU - Pietruszkiewicz, Wieslaw C3 - 2010 IEEE 9th International Conference on Cybernetic Intelligent Systems, CIS 2010, September 1, 2010 - September 2, 2010 DA - 2010 DO - 10.1109/UKRICIS.2010.5898136 KW - data mining decision trees Estimation Information Management Intelligent systems Metadata project management User interfaces N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 ST - Classification and metaclassification in large scale data mining application for estimation of software projects T3 - 2010 IEEE 9th International Conference on Cybernetic Intelligent Systems, CIS 2010 TI - Classification and metaclassification in large scale data mining application for estimation of software projects UR - http://dx.doi.org/10.1109/UKRICIS.2010.5898136 ID - 1742 ER - TY - JOUR AB - Many real-world networks are intimately organized according to a community structure. Much research effort has been devoted to develop methods and algorithms that can efficiently highlight this hidden structure of a network, yielding a vast literature on what is called today community detection. Since network representation can be very complex and can contain different variants in the traditional graph model, each algorithm in the literature focuses on some of these properties and establishes, explicitly or implicitly, its own definition of community. According to this definition, each proposed algorithm then extracts the communities, which typically reflect only part of the features of real communities. The aim of this survey is to provide a `user manual' for the community discovery problem. Given a meta definition of what a community in a social network is, our aim is to organize the main categories of community discovery methods based on the definition of community they adopt. Given a desired definition of community and the features of a problem (size of network, direction of edges, multidimensionality, and so on) this review paper is designed to provide a set of approaches that researchers could focus on. The proposed classification of community discovery methods is also useful for putting into perspective the many open directions for further research. 2011 Wiley Periodicals, Inc. AU - Coscia, M. AU - Giannotti, F. AU - Pedreschi, D. DA - 2011/10// DO - 10.1002/sam.10133 IS - 5 J2 - Statistical Analysis and Data Mining KW - Complex networks data mining Graph theory pattern classification Social sciences L1 - internal-pdf://2671788801/Coscia-2011-A classification for community dis.pdf PY - 2011 SN - 1932-1864 SP - 514-46 ST - A classification for community discovery methods in complex networks T2 - Statistical Analysis and Data Mining TI - A classification for community discovery methods in complex networks UR - http://dx.doi.org/10.1002/sam.10133 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/sam.10133/asset/10133_ftp.pdf?v=1&t=itir9ltq&s=0eacf99d1dbae687a6f3b02721943a00ece62dd2 VL - 4 ID - 1239 ER - TY - JOUR AB - Objectives: This paper provides a systematic review of safety use of health information technology (IT). The first objective is to identify the antecedents towards safety use of health IT by conducting systematic literature review (SLR). The second objective is to classify the identified antecedents based on the work system in Systems Engineering Initiative for Patient Safety (SEIPS) model and an extension of DeLone and McLean (DM) information system (IS) success model. Methods: A systematic literature review (SLR) was conducted from peer-reviewed scholarly publications between January 2000 and July 2014. SLR was carried out and reported based on the preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement. The related articles were identified by searching the articles published in Science Direct, Medline, EMBASE, and CINAHL databases. Data extracted from the resultant studies included are to be analysed based on the work system in Systems Engineering Initiative for Patient Safety (SEIPS) model, and also from the extended DeLone and McLean (DM) information system (IS) success model. Results: 55 articles delineated to be antecedents that influenced the safety use of health IT were included for review. Antecedents were identified and then classified into five key categories. The categories are (1) person, (2) technology, (3) tasks, (4) organization, and (5) environment. Specifically, person is attributed by competence while technology is associated to system quality, information quality, and service quality. Tasks are attributed by task-related stressor. Organisation is related to training, organisation resources, and teamwork. Lastly, environment is attributed by physical layout, and noise. Conclusions: This review provides evidence that the antecedents for safety use of health IT originated from both social and technical aspects. However, inappropriate health IT usage potentially increases the incidence of errors and produces new safety risks. The review cautions future implementation and adoption of health IT to carefully consider the complex interactions between social and technical elements propound in healthcare settings. 2015. AU - Salahuddin, Lizawati AU - Ismail, Zuraini DA - 2015 DO - 10.1016/j.ijmedinf.2015.07.004 IS - 11 J2 - International Journal of Medical Informatics KW - Classification (of information) data mining Errors Health Health risks Information systems information use Safety engineering Systems engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 13865056 SP - 877-891 ST - Classification of antecedents towards safety use of health information technology: A systematic review T2 - International Journal of Medical Informatics TI - Classification of antecedents towards safety use of health information technology: A systematic review UR - http://dx.doi.org/10.1016/j.ijmedinf.2015.07.004 VL - 84 ID - 1563 ER - TY - CONF AB - The canonical technique for analyzing functional magnetic resonance imaging (fMRI) data, statistical parametric mapping, produces maps of brain locations that are more active during performance of a task than during a control condition. In recent years, there has been increasing awareness of the fact that there is information in the entire pattern of brain activation and not just in saliently active locations. Classifiers have been the tool of choice for capturing this information and used to make predictions ranging from what kind of object a subject is thinking about to what decision they will make. Such classifiers are usually trained on a selection of voxels from the 3D grid that makes up the activation pattern; often this means the best accuracy is obtained using few voxels, from all across the brain, and that different voxels will be chosen in different cross-validation folds, making the classifiers hard to interpret. The increasing commonality of datasets with tens to hundreds of classes makes this problem even more acute. In this paper we introduce a method for identifying informative subsets of adjacent voxels, corresponding to brain patches that distinguish subsets of classes. These patches can then be used to train classifiers for the distinctions they support and used as "pattern features" for a meta-classifier. We show that this method permits classification at a higher accuracy than that obtained with traditional voxel selection, and that the sets of voxels used are more reproducible across cross-validation folds than those identified with voxel selection, and lie in plausible brain locations. Copyright 2011 ACM. AU - Pereira, Francisco AU - Botvinick, Matthew C3 - 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11, August 21, 2011 - August 24, 2011 DA - 2011 DO - 10.1145/2020408.2020563 KW - data mining Magnetic Resonance Imaging Resonance N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2011 SP - 940-946 ST - Classification of functional magnetic resonance imaging data using informative pattern features T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - Classification of functional magnetic resonance imaging data using informative pattern features UR - http://dx.doi.org/10.1145/2020408.2020563 ID - 1212 ER - TY - CONF AB - Biomedical datasets pose a unique challenge for machine learning and data mining techniques to extract accurate, comprehensible and hidden knowledge from them. In this paper, we investigate the role of a biomedical dataset on the classification accuracy of an algorithm. To this end, we quantify the complexity of a biomedical dataset in terms of its missing values, imbalance ratio, noise and information gain. We have performed our experiments using six well-known evolutionary rule learning algorithms - XCS, UCS, GAssist, cAnt-Miner, SLAVE and Ishibuchi - on 31 publicly available biomedical datasets. The results of our experiments and statistical analysis show that GAssist gives better classification results on majority of biomedical datasets among the compared schemes but cannot be categorized as the best classifier. Moreover, our analysis reveals that the nature of a biomedical dataset - not the selection of evolutionary algorithm - plays a major role in determining the classification accuracy of a dataset. We further show that noise is a dominating factor in determining the complexity of a dataset and it is inversely proportional to the classification accuracy of all evaluated algorithms. Towards the end, we provide researchers with a meta-classification model that can be used to determine the classification potential of a dataset on the basis of its complexity measures. AU - Tanwani, A. K. AU - Farooq, M. C3 - Learning Classifier Systems. 11th International Workshop, IWLCS 2008 and 12th International Workshop, IWLCS 2009, 9 July 2009 DA - 2010 DO - 10.1007/978-3-642-17508-4_9 KW - data mining evolutionary computation learning (artificial intelligence) medical computing pattern classification statistical analysis PB - Springer Verlag PY - 2010 SP - 127-44 ST - Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets T3 - Learning Classifier Systems. 11th International Workshop, IWLCS 2008 and 12th International Workshop, IWLCS 2009. Revised Selected Papers TI - Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets UR - http://dx.doi.org/10.1007/978-3-642-17508-4_9 ID - 1364 ER - TY - JOUR AB - In this paper a data mining based case study is carried out in a major textile company in Turkey in order to classify and analyze the defect factors in their fabric production process. It is aimed to understand the causes of the defects in order to minimize their occurrence. The main motivation behind this study is to minimize scrap loses in the company and enabling more sustainable production via data mining. In the analyses, a data mining tool (DIFACONN-miner) that was recently developed by authors is employed. DIFACONN-miner is a novel data mining tool which combines several metaheuristics and artificial neural networks intelligently and it is capable of producing comprehensive classification rules from any data type. 2011 Elsevier Ltd. All rights reserved. AU - Baykasoglu, Adil AU - Ozbakir, Lale AU - Kulluk, Sinem DA - 2011 DO - 10.1016/j.eswa.2011.02.182 IS - 9 J2 - Expert Systems with Applications KW - data mining Defects Miners Neural networks Soft computing Textile processing L1 - internal-pdf://3594751253/Baykasoglu-2011-Classifying defect factors in.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 09574174 SP - 11321-11328 ST - Classifying defect factors in fabric production via DIFACONN-miner: A case study T2 - Expert Systems with Applications TI - Classifying defect factors in fabric production via DIFACONN-miner: A case study UR - http://dx.doi.org/10.1016/j.eswa.2011.02.182 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0957417411004064/1-s2.0-S0957417411004064-main.pdf?_tid=7c71b3de-832d-11e6-97cd-00000aacb35e&acdnat=1474814386_4ffb7c886b6a70e97d933e3920d0523d VL - 38 ID - 1682 ER - TY - CONF AB - Currently most operations on network data packets are controlled by the applicable protocols such as TCP/IP. However, there is scope to examine and classify the data without resorting to processing through a protocol stack. To do this, use can be made of the complex and sophisticated algorithms developed for the analysis of biological and genomics data. This makes use of similarities in the way information is stored in biological structures and network data traffic. It can be shown that network data flows have many of the same structural characteristics as biological DNA - areas of conservation (an area of data that has the same composition as an area in another packet of data will often have similar functionality), "motifs" with particular functions and the equivalent of "junk DNA" - areas where seemingly random changes occur. This paper looks at the novel application of algorithms designed to process DNA data to analyse and classify Ethernet network data packets based on the patterns discernible in the data rather than the more traditional method of matching fixed fields within the data based on protocol specifications. We are able to show that these algorithms are able to successfully and accurately classify packets of data into groups whose members have similar characteristics based on actual content rather than meta-data. This provides a unique and useful method of grouping and classifying packets that could be of use in diverse applications such as IDS systems, and the search for, and identification of specific types of data. AU - Kenworthy, W. D. C3 - 2010 3rd International Conference on Knowledge Discovery and Data Mining (WKDD 2010), 9-10 Jan. 2010 DA - 2010 DO - 10.1109/WKDD.2010.83 KW - computer network security local area networks pattern classification PB - IEEE Computer Society PY - 2010 SP - 490-3 ST - Classifying Ethernet Data Packets Based on Raw Bit Patterns T3 - 2010 3rd International Conference on Knowledge Discovery and Data Mining (WKDD 2010) TI - Classifying Ethernet Data Packets Based on Raw Bit Patterns UR - http://dx.doi.org/10.1109/WKDD.2010.83 ID - 919 ER - TY - CONF AB - In this paper we describe an approach to classifying heart sounds (classes Normal, Murmur and Extra-systole) that is based on the discretization of sound signals using the SAX (Symbolic Aggregate Approximation) representation. The ability of automatically classifying heart sounds or at least support human decision in this task is socially relevant to spread the reach of medical care using simple mobile devices or digital stethoscopes. In our approach, sounds are first pre-processed using signal processing techniques (decimate, low-pass filter, normalize, Shannon envelope). Then the pre-processed symbols are transformed into sequences of discrete SAX symbols. These sequences are subject to a process of motif discovery. Frequent sequences of symbols (motifs) are adopted as features. Each sound is then characterized by the frequent motifs that occur in it and their respective frequency. This is similar to the term frequency (TF) model used in text mining. In this paper we compare the TF model with the application of the TFIDF (Term frequency - Inverse Document Frequency) and the use of bi-grams (frequent size two sequences of motifs). Results show the ability of the motifs based TF approach to separate classes and the relative value of the TFIDF and the bi-grams variants. The separation of the Extra-systole class is overly difficult and much better results are obtained for separating the Murmur class. Empirical validation is conducted using real data collected in noisy environments. We have also assessed the cost-reduction potential of the proposed methods by considering a fixed cost model and using a cost sensitive meta algorithm. Copyright 2014 ACM. AU - Gomes, Elsa Ferreira AU - Jorge, Alpio M. AU - Azevedo, Paulo J. C3 - 18th International Database Engineering and Applications Symposium, IDEAS 2014, July 7, 2014 - July 9, 2014 DA - 2014 DO - 10.1145/2628194.2628240 KW - Cardiology Cost accounting Database systems data mining decision trees Mobile devices separation Signal processing Text processing Time series analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2014 SP - 334-337 ST - Classifying heart sounds using SAX motifs, random forests and text mining techniques T3 - ACM International Conference Proceeding Series TI - Classifying heart sounds using SAX motifs, random forests and text mining techniques UR - http://dx.doi.org/10.1145/2628194.2628240 http://dl.acm.org/citation.cfm?doid=2628194.2628240 ID - 1477 ER - TY - CONF AB - Summary form only given. Can you imagine working in a field of research where even practitioners argue if it exists as a field at all? 'Digital Arts and Humanities' is such a field and my role within it includes the task of further developing a classification system for resources, people and all sorts of activities in this 'field': a taxonomy (soon to be ontology) of digital methods for research. As a kind of meta-field, Digital Arts and Humanities spans across a broad range of disciplines, from History, Performing Arts and Archaeology to Theatre and Linguistics. While computational methods such as 'text mining', 'motion capture' or 'text encoding' are used across all these subject disciplines, it may only be a relatively small group of practitioners who actively define themselves as 'digital humanists/artists'. This huge diversity means that people working with the same methods are often not even aware that they could profit from lessons learned in other disciplines, leading to a duplication of work. Developing, and successfully promoting, a system that would span disciplines and facilitate knowledge transfer around digital methods could help prevent the re-inventing of the wheel, encourage re-use of resources and contribute to a greater awareness of the importance of digital research. To achieve that, it needs to be taken forward in a community approach to ensure that the classification can be used and kept up-to-date by not just one institution. For several years, the AHDS Methods Taxonomy (with associated vocabularies) has been used to structure the ICT Guides database that catalogues digital arts and humanities projects. It is organised around methods used for resource creation, divided into seven groups (such as 'Data Capture' or 'Data Analysis'), and does currently list and describe over a hundred methods used in the digital arts and humanities: Associated vocabularies list, for instance, funding bodies, software used and metadata standards. In its latest incarnation, ICT Guides is now part of the arts-humanities.net project, hosted by the Centre for e-Research (CeRch) at King's College London. At King's College, the taxonomy has also been used to structure content on the website of the AHRC ICT Methods Network. Recently, the taxonomy has also been implemented in DRAPIer (Database of Research and Projects in Ireland) by the Digital Humanities Observatory (DHO), and other projects and Universities, such as Oxford, have expressed an interest in using it. Starting with the collaboration between the DHO, Oxford and CeRch, we are developing a model for a shared usage and development of the taxonomy, with the view to build a larger consortium of project partners in the future. There is now a chance to develop the taxonomy into a shared ontology resource, to be updated and developed by the wider community. In this paper I will re-visit the background and rationale of the project, discuss the model and challenges of developing a shared taxonomy - including a planned transformation into a more flexible ontology -, and outline the shared use of the resource, including the development of a web service based on the Methods Taxonomy. AU - Reimer, T. C3 - 2009 5th IEEE International Conference on e-Science Workshops (e-science 2009), 9-11 Dec. 2009 DA - 2009 DO - 10.1109/ESCIW.2009.5407979 KW - cataloguing classification Database management systems data mining humanities ontologies (artificial intelligence) Web services PB - IEEE PY - 2009 SP - 197 ST - Classifying the (digital) arts and humanities T3 - Proceedings of the 2009 5th IEEE International Conference on e-Science Workshops (e-science 2009) TI - Classifying the (digital) arts and humanities UR - http://dx.doi.org/10.1109/ESCIW.2009.5407979 ID - 1018 ER - TY - JOUR AU - Iavindrasana, J. AU - Cohen, G. AU - Depeursinge, A. AU - Müller, H. AU - Meyer, R. AU - Geissbuhler, A. AU - others DA - 2009 DP - Google Scholar L1 - https://www.researchgate.net/profile/Henning_Mueller2/publication/38035298_Clinical_data_mining_a_review/links/00b4952613a39a4203000000.pdf PY - 2009 SP - 121-133 ST - Clinical data mining T2 - Yearb Med Inform TI - Clinical data mining: a review UR - https://www.researchgate.net/profile/Henning_Mueller2/publication/38035298_Clinical_data_mining_a_review/links/00b4952613a39a4203000000.pdf VL - 2009 Y2 - 2016/09/24/16:09:56 ID - 2466 ER - TY - CHAP AB - Background Background Clinical decision support systems (CDSS) are computer-based information systems used to integrate clinical and patient information to provide support for decision-making in patient care. They may be useful in aiding the diagnostic process, the generation of alerts and reminders, therapy critiquing/planning, information retrieval, and image recognition and interpretation. CDSS for use in adult patients have been evaluated using randomised control trials and their results analysed in systematic reviews. There is as yet no systematic review on CDSS use in neonatal medicine. Objectives Objectives To examine whether the use of clinical decision support systems has an effect on 1. the mortality and morbidity of newborn infants and 2. the performance of physicians treating them Search methods Search methods The standard search method of the Cochrane Neonatal Review Group was used. Searches were made of the Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library, Issue 2, 2007), MEDLINE (from 1966 to July 2007), EMBASE (1980 - July 2007), CINAHL (1982 to July 2007) and AMED (1985 to July 2007). Selection criteria Selection criteria Randomised or quasi-randomised controlled trials which compared the effects of CDSS versus no CDSS in the care of newborn infants. Trials which compared CDSS against other CDSS were also considered. The eligible interventions were CDSS for computerised physician order entry, computerised physiological monitoring, diagnostic systems and prognostic systems. Data collection and analysis Data collection and analysis Studies were assessed for eligibility using a standard pro forma. Methodological quality was assessed independently by the different investigators. Main results Main results Two studies fitting the selection criteria were found for computer aided prescribing and one study for computer aided physiological monitoring. Computer-aided prescribing: one study (Cade 1997) examined the effects of computerised prescribing of parenteral nutrition ordering. No significant effects on short-term outcomes were found and longer term outcomes were not studied. The second study (Balaguer 2001) investigated the effects of a database program in aiding the calculation of neonatal drug dosages. It was found that the time taken for calculation was significantly reduced and there was a significant reduction in the number of calculation errors. Computer-aided physiological monitoring: one eligible study (Cunningham 1998) was found which examined the effects of computerised cot side physiological trend monitoring and display. There were no significant effects on mortality, volume of colloid infused, frequency of blood gases sampling (samples per day) or severe intraventricular haemorrhage (Papile Grade IV). Published data did not permit us to analyse effects on long-term neurodevelopmental outcome. Authors' conclusions Authors' conclusions There are very limited data from randomised trials on which to assess the effects of clinical decision support systems in neonatal care. Further evaluation of CDSS using randomised controlled trials is warranted. AU - Tan, Kenneth AU - Dear, Peter R. F. AU - Newell, Simon J. DP - Wiley Online Library LA - en PB - John Wiley & Sons, Ltd PY - 2005 ST - Clinical decision support systems for neonatal care T2 - Cochrane Database of Systematic Reviews TI - Clinical decision support systems for neonatal care UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD004211.pub2/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD004211.pub2/full Y2 - 2016/09/18/20:15:38 ID - 434 ER - TY - JOUR AB - Objective: The key objective of the Outcome Measures in Rheumatoid Arthritis Clinical Trials [OMERACT] initiative is to improve outcome measurement through a data-driven, interactive consensus process. With increasing research interest and emerging new therapies for treatment of fibromyalgia syndrome, there is a need to develop a consensus on a core set of outcome measures that should be assessed and reported in all clinical trials. Method: At OMERACT 7, the Fibromyalgia working group was established to achieve this aim. Through patient-focus groups and Delphi processes, potential domains to be included in the core data set were identified. A systematic review has shown that instruments measuring these domains are available and are at least moderately sensitive to change. Construct and content validity of these domains were established by data mining of 10 randomized control trials. The proposed core data set was supported by high consensus among attendees at OMERACT 9. Conclusions: The OMERACT core data set should improve quality of clinical trials and facilitate meta-analysis and indirect comparison in fibromyalgia syndrome. AU - Choy, Ernest H. DA - 2010/12// DO - 10.3109/10582452.2010.502623 IS - 4 PY - 2010 SN - 1058-2452 SP - 380-386 ST - Clinical Domains of Fibromyalgia Syndrome: Determination through the OMERACT Process T2 - Journal of Musculoskeletal Pain TI - Clinical Domains of Fibromyalgia Syndrome: Determination through the OMERACT Process VL - 18 ID - 1953 ER - TY - JOUR AU - Kesselheim, Aaron S. AU - Misono, Alexander S. AU - Lee, Joy L. AU - Stedman, Margaret R. AU - Brookhart, M. Alan AU - Choudhry, Niteesh K. AU - Shrank, William H. DA - 2008 DP - Google Scholar IS - 21 L1 - internal-pdf://2403847589/Kesselheim-2008-Clinical equivalence of generi.pdf PY - 2008 SP - 2514-2526 ST - Clinical equivalence of generic and brand-name drugs used in cardiovascular disease T2 - JAMA TI - Clinical equivalence of generic and brand-name drugs used in cardiovascular disease: a systematic review and meta-analysis UR - http://archopht.jamanetwork.com/article.aspx?articleid=1028758 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2713758/ http://jama.jamanetwork.com/article.aspx?articleid=1028758 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2713758/pdf/nihms110306.pdf VL - 300 Y2 - 2016/09/24/15:39:07 ID - 2375 ER - TY - JOUR AB - Current developments in medical information technologies provide the clinical researcher with overwhelming amounts of data that need to be retrieved, organized, analyzed, and shared using secure, efficient, and robust protocols. The development of a local research database can provide an infrastructure for improved data management and detailed data analysis. For example, a pediatric brain tumor database of magnetic resonance imaging data, including conventional MRI imaging, hemodynamic MRI, diffusion weighted MRI and MR spectroscopic imaging, combined with neuropathological and neurological evaluation data, will significantly enhance the assessment and treatment of pediatric brain tumor patients. Furthermore, a negotiation system by which different clinical research facilities can share and combine data will permit re-analyses and meta-analyses of large data arrays that are beyond the focus or time constraints of the original researchers. Such a system will greatly enhance the utility of different data sets to a wide array of scientists. At present, efforts to organize medical data locally and between different sites is limited by diversity, interoperability, security, and accountability difficulties. AU - Astrakas, L. AU - Ye, S. AU - Zarifi, M. AU - Makedon, F. AU - Tzika, A. A. DA - 2006 PY - 2006 SN - 1021-335X SP - 1065-1069 ST - The clinical perspective of large scale projects: A case study of multiparametric MR imaging of pediatric brain tumors T2 - Oncology Reports TI - The clinical perspective of large scale projects: A case study of multiparametric MR imaging of pediatric brain tumors VL - 15 ID - 1941 ER - TY - JOUR AU - Zarin, Deborah A. AU - Tse, Tony AU - Williams, Rebecca J. AU - Califf, Robert M. AU - Ide, Nicholas C. DA - 2011 DP - Google Scholar IS - 9 PY - 2011 SP - 852-860 ST - The ClinicalTrials. gov results database—update and key issues T2 - New England Journal of Medicine TI - The ClinicalTrials. gov results database—update and key issues UR - http://www.nejm.org/doi/full/10.1056/NEJMsa1012065 VL - 364 Y2 - 2016/09/24/15:34:52 ID - 2326 ER - TY - JOUR AB - BACKGROUND: Public repositories of microarray data contain an incredible amount of information that is potentially relevant to explore functional relationships among genes by meta-analysis of expression profiles. However, the widespread use of this resource by the scientific community is at the moment limited by the limited availability of effective tools of analysis. We here describe CLOE, a simple cDNA microarray data mining strategy based on meta-analysis of datasets from pairs of species. The method consists in ranking EST probes in the datasets of the two species according to the similarity of their expression profiles with that of two EST probes from orthologous genes, and extracting orthologous EST pairs from a given top interval of the ranked lists. The Gene Ontology annotation of the obtained candidate partners is then analyzed for keywords overrepresentation. RESULTS: We demonstrate the capabilities of the approach by testing its predictive power on three proteomically-defined mammalian protein complexes, in comparison with single and multiple species meta-analysis approaches. Our results show that CLOE can find candidate partners for a greater number of genes, if compared to multiple species co-expression analysis, but retains a comparable specificity even when applied to species as close as mouse and human. On the other hand, it is much more specific than single organisms co-expression analysis, strongly reducing the number of potential candidate partners for a given gene of interest. CONCLUSIONS: CLOE represents a simple and effective data mining approach that can be easily used for meta-analysis of cDNA microarray experiments characterized by very heterogeneous coverage. Importantly, it produces for genes of interest an average number of high confidence putative partners that is in the range of standard experimental validation techniques. AU - Pellegrino, Maurizio AU - Provero, Paolo AU - Silengo, Lorenzo AU - Di Cunto, Ferdinando DA - 2004/11/19/ DO - 10.1186/1471-2105-5-179 J2 - BMC Bioinformatics KW - Animals Computational Biology/methods/statistics & numerical data Conserved Sequence/genetics DNA, Complementary/genetics DNA Probes/genetics Evolution, Molecular Expressed Sequence Tags Gene Expression Profiling/*methods/statistics & numerical data Gene Expression Regulation/*physiology Humans Mice Predictive Value of Tests Sequence Homology, Nucleic Acid Software LA - eng PY - 2004 SN - 1471-2105 1471-2105 SP - 179 ST - CLOE: identification of putative functional relationships among genes by comparison of expression profiles between two species T2 - BMC bioinformatics TI - CLOE: identification of putative functional relationships among genes by comparison of expression profiles between two species VL - 5 ID - 260 ER - TY - JOUR AB - Detection of code clones - similar or identical source code fragments - is of concern both to researchers and to practitioners. An analysis of the clone detection results for a single source code version provides a developer with information about a discrete state in the evolution of the software system. However, tracing clones across multiple source code versions permits a clone analysis to consider a temporal dimension. Such an analysis of clone evolution can be used to uncover the patterns and characteristics exhibited by clones as they evolve within a system. Developers can use the results of this analysis to understand the clones more completely, which may help them to manage the clones more effectively. Thus, studies of clone evolution serve a key role in understanding and addressing issues of cloning in software. In this paper, we present a systematic review of the literature on clone evolution. In particular, we present a detailed analysis of 30 relevant papers that we identified in accordance with our review protocol. The review results were organized to address three research questions. Through our answers to these questions, we present the methods that researchers have used to study clone evolution, the patterns that researchers have found evolving clones to exhibit, and the evidence that researchers have established regarding the extent of inconsistent change undergone by clones during software evolution. Overall, the review results indicate that whereas researchers have conducted several empirical studies of clone evolution, there are contradictions among the reported findings, particularly regarding the lifetimes of clone lineages and the consistency with which clones are changed during software evolution. We identify human-based empirical studies and classification of clone evolution patterns as two areas that are in particular need of further work. 2011 John Wiley Sons, Ltd. AU - Pate, J. R. AU - Tairas, R. AU - Kraft, N. A. DA - 2013/03// DO - 10.1002/smr.579 IS - 3 J2 - Journal of Software: Evolution and Process KW - software engineering source code (software) PY - 2013 SN - 2047-7473 SP - 261-83 ST - Clone evolution: a systematic review T2 - Journal of Software: Evolution and Process TI - Clone evolution: a systematic review UR - http://dx.doi.org/10.1002/smr.579 VL - 25 ID - 690 ER - TY - CONF AB - Association rule discovering is one of the most important procedures in data mining. Lattice theory paradigm has been successfully usedfor the association rule mining. In particular, the theoretical foundation based on the field of Galois lattice has been used in the design of efficient algorithm for mining the frequent itemsets in transactional database. In this paper we describe a formal framework for the problem of mining closed frequent itemsets, where theoretical foundation is based on the algebraic topology. By means of Q-analysis and according to intrinsic q-values, an approximative closed frequent itemsets can be extracted In data mining process, a large number ofassociation rules are discovered In this paper we also show how the algebraic topology-theoretic framework can be used to organize association rules by means of metarules. 2007 IEEE. AU - Boulmakoul, Azedine AU - Idri, Abdelfatah AU - Marghoubi, Rabia C3 - ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology, December 15, 2007 - December 18, 2007 DA - 2007 DO - 10.1109/ISSPIT.2007.4458017 KW - Algebra Algorithms Association rules Associative processing Database systems data mining Information technology mining Signal processing Topology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2007 SP - 519-524 ST - Closed frequent itemsets mining and structuring association rules based on Q-analysis T3 - ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology TI - Closed frequent itemsets mining and structuring association rules based on Q-analysis UR - http://dx.doi.org/10.1109/ISSPIT.2007.4458017 ID - 1720 ER - TY - CONF AB - Ant algorithm is a meta-heuristic approach successfully applied to solve hard combinatorial optimization problems. It is also feasible for clustering analysis in data mining. Many researches use ant algorithms for clustering analysis and the result is better than other heuristic methods. In order to improve the performance of the algorithm, the artificial immune system is utilized to strengthen the ant algorithm for clustering analysis. In this paper, we proposes a new algorithm for clustering problem, the immunity-based Ant Clustering Algorithm (IACA). IACA using the artificial immune system and ant algorithm is an auto-clustering method which can decide the number of the clusters and its centroids. In this research, the proposed algorithm and these two clustering methods will be verified by 243 data sets are generated by Monte Carlo method to evaluate the performance of our proposed method and other methods. 2007 IEEE. AU - Chiu, Chui-Yu AU - Lin, Chia-Hao C3 - 3rd International Conference on Natural Computation, ICNC 2007, August 24, 2007 - August 27, 2007 DA - 2007 DO - 10.1109/ICNC.2007.301 KW - Cluster Analysis Combinatorial optimization data mining Heuristic algorithms Problem solving N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2007 SP - 647-651 ST - Cluster analysis based on artificial immune system and ant algorithm T3 - Proceedings - Third International Conference on Natural Computation, ICNC 2007 TI - Cluster analysis based on artificial immune system and ant algorithm UR - http://dx.doi.org/10.1109/ICNC.2007.301 VL - 3 ID - 1387 ER - TY - JOUR AB - Using Atom Probe Tomography (APT) and Phase Field Crystal (PFC) modelling, the early-stage precipitation phenomenon is investigated for naturally- and artificially-aged Al-Mg-Si alloys of two different Mg/Si ratios, i.e. 1 and 2. It is shown that, regardless of alloy composition and aging history, the earliest precipitates appear as finely-dispersed Si-rich clusters which gradually undergo a simultaneous coarsening and Mg-enrichment. In addition, the energetic factors for the instability of natural aging clusters are analysed. The energy analysis also suggests that the initial Si-enrichment of the earliest precipitates is due to the affinity of locally-strained areas for higher Si concentrations when achieving a meta-stable equilibrium with the strain-free surrounding matrix. The subsequent Mg-enrichment is shown to be energetically necessary for an evolving precipitate to survive and grow. The alloy with smaller Mg/Si ratio shows a delay in the onset of Mg-enrichment during natural aging, which is attributed to the higher average Si content, as well as the slow kinetics of diffusion at natural aging temperatures. It is shown that this alloy exhibits a smaller nucleation barrier and critical nucleus size as well. We suggest that the above described mechanisms govern the evolution of early-stage clustering in the common range of age-hardenable Al-Mg-Si alloy compositions. 2015 Acta Materialia Inc. AU - Fallah, Vahid AU - Langelier, Brian AU - Ofori-Opoku, Nana AU - Raeisinia, Babak AU - Provatas, Nikolas AU - Esmaeili, Shahrzad DA - 2016 DO - 10.1016/j.actamat.2015.09.027 J2 - Acta Materialia KW - Alloying Aluminum Precipitates Precipitation (chemical) Probes Silicon Silicon alloys L1 - internal-pdf://1104561852/Fallah-2016-Cluster evolution mechanisms durin.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 13596454 SP - 290-300 ST - Cluster evolution mechanisms during aging in Al-Mg-Si alloys T2 - Acta Materialia TI - Cluster evolution mechanisms during aging in Al-Mg-Si alloys UR - http://dx.doi.org/10.1016/j.actamat.2015.09.027 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1359645415007041/1-s2.0-S1359645415007041-main.pdf?_tid=7c62a276-8333-11e6-a23e-00000aacb362&acdnat=1474816963_0a71b94b4f6434c910205ec89ffca741 VL - 103 ID - 779 ER - TY - CONF AB - Ant colony optimization (ACO) is a population-based meta-heuristic that can be used to find approximate solutions to difficult optimization problems. Clustering Analysis, which is an important method in data mining, classifies a set of observations into two or more mutually exclusive unknown groups. This paper presents a novel clustering algorithm with ant colony based on stochastic best solution kept--ESacc. The algorithm is based on Sacc that was proposed by P.S.Shelokar and presents a method that best values are kept stochastically. The results of several times experiments in three datasets show that the new algorithm-ESacc is less in running time, is better in clustering effect and more stable than Sacc. Experimental results validate the novel algorithm's efficiency. AU - Xiaoyong, Liu C3 - 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application. PACIIA 2008, 19-20 Dec. 2008 DA - 2008 DO - 10.1109/PACIIA.2008.260 KW - data mining optimisation pattern clustering PB - IEEE PY - 2008 SP - 126-9 ST - Clustering algorithm with ant colony based on stochastic best solution kept T3 - 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application. PACIIA 2008 TI - Clustering algorithm with ant colony based on stochastic best solution kept UR - http://dx.doi.org/10.1109/PACIIA.2008.260 ID - 1373 ER - TY - CONF AB - With the growing amount of data available in today's world, the emphasis is laid on the automatic configuration of data analysis - metal earning. This paper elaborates one of the metal earning sub problems, the data mining method recommendation. Based on a metric over the data features called metadata, we have proposed a solution exploiting clustering of datasets. The agglomerative algorithm is used to construct clustering over the metadata, and the average methods' performance is computed in each cluster. The ranking of data mining methods is then deduced from the classification of a dataset to a particular cluster. The recommendation algorithm, which is implemented within our data mining multi-agent system, has been tested in various configurations, and the results of these experiments have been compared. AU - Kazik, O. AU - Peskova, K. AU - Smid, J. AU - Neruda, R. C3 - 2013 12th International Conference on Machine Learning and Applications (ICMLA), 4-7 Dec. 2013 DA - 2013 DO - 10.1109/ICMLA.2013.148 KW - data analysis data mining learning (artificial intelligence) meta data pattern classification pattern clustering Recommender systems PB - IEEE Computer Society PY - 2013 SP - 356-61 ST - Clustering Based Classification in Data Mining Method Recommendation T3 - 2013 12th International Conference on Machine Learning and Applications (ICMLA) TI - Clustering Based Classification in Data Mining Method Recommendation UR - http://dx.doi.org/10.1109/ICMLA.2013.148 VL - vol.2 ID - 1691 ER - TY - CONF AB - The increasing pervasiveness of social media creates new opportunities to study human social behavior, while challenging our capability to analyze their massive data streams. One of the emerging tasks is to distinguish between different kinds of activities, for example engineered misinformation campaigns versus spontaneous communication. Such detection problems require a formal definition of meme, or unit of information that can spread from person to person through the social network. Once a meme is identified, supervised learning methods can be applied to classify different types of communication. The appropriate granularity of a meme, however, is hardly captured from existing entities such as tags and keywords. Here we present a framework for the novel task of detecting memes by clustering messages from large streams of social data. We evaluate various similarity measures that leverage content, metadata, network features, and their combinations. We also explore the idea of pre-clustering on the basis of existing entities. A systematic evaluation is carried out using a manually curated dataset as ground truth. Our analysis shows that pre-clustering and a combination of heterogeneous features yield the best trade-off between number of clusters and their quality, demonstrating that a simple combination based on pairwise maximization of similarity is as effective as a non-trivial optimization of parameters. Our approach is fully automatic, unsupervised, and scalable for real-time detection of memes in streaming data. AU - Ferrara, E. AU - JafariAsbagh, M. AU - Varol, O. AU - Qazvinian, V. AU - Menczer, F. AU - Flammini, A. C3 - 2013 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 25-28 Aug. 2013 DA - 2013 KW - learning (artificial intelligence) meta data pattern classification pattern clustering Social networking (online) PB - IEEE PY - 2013 SP - 548-55 ST - Clustering memes in social media T3 - 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) TI - Clustering memes in social media ID - 717 ER - TY - CONF AB - Recently, hyperspectral imagery has become promising tool in remote sensing, due to high spectral resolution. By increasing spectral information, similar land covers can be distinguished. Clustering is an important step toward extracting information from hyperspectral imagery in different applications which discover structures in data without training phase. However, referring to high dimensionality of hyperspectral data, conventional clustering methods are not sufficient enough and usually convergent to local optimum. Recently several meta-heuristic techniques are proposed to overcome the drawbacks of traditional clustering methods. Among them swarm based clustering methods, due to nature of stochastic and population based search, show promising results in clustering of high dimensional data. Ant Colony Optimization (ACO) is one of the main category of swarm intelligence algorithm which inspired by the foraging behavior of ant colony where they are able to find the shortest path between nest and food source. ACO based clustering is robust and reliable and can find global optimum but slow convergent is its drawback. On the other hand K-means is fast and simple but quality of results depend on initial cluster centers and may trap in local optima. Therefore combining algorithm can benefit from robustness of ACO and speed of K-means. This paper evaluates the potential of combination of ACO and K-means in clustering of hyperspectral imagery. Experiments are carried out on hyperspectral imagery which is acquired by AVIRIS sensor over northern part of Indiana. Obtained result compare with traditional K-means clustering technique which show proposed clustering methods in comparison with K-means is much more reliable and robust and has considerable improvement in quality of clustering results. AU - Samadzadegan, Farhad AU - Hasani, Hadiseh C3 - 31st Asian Conference on Remote Sensing 2010, ACRS 2010, November 1, 2010 - November 5, 2010 DA - 2010 KW - artificial intelligence Cluster Analysis Clustering algorithms data mining REMOTE SENSING N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Asian Association on Remote Sensing PY - 2010 SP - 448-453 ST - Clustering of hyperspectral imagery based on ant colony optimization T3 - 31st Asian Conference on Remote Sensing 2010, ACRS 2010 TI - Clustering of hyperspectral imagery based on ant colony optimization VL - 1 ID - 952 ER - TY - CONF AB - Tree-structured data conveys both topological and geometrical information, which is strongly non-Euclidean and thus need be considered on manifold for parameterization and analysis. To address this problem and perform tree-structured data clustering, a novel parameterization method using the Topology-Attribute matrix (T-A matrix) is proposed which could enable tree analysis on matrix manifold. Then a nonnegative matrix factorization (NMF) method with structure constraint from trees is developed to mine the subspace of tree-structured data, which we call meta-tree space. The clustering task is conducted in the meta-tree space based on the concept of Frechet mean. The proposed method is evaluated using both simulated data and real retinal images. AU - Na, Lu AU - Yidan, Wu C3 - 2015 IEEE International Conference on Information and Automation (ICIA), 8-10 Aug. 2015 DA - 2015 DO - 10.1109/ICInfA.2015.7279471 KW - data mining matrix decomposition pattern clustering Topology Trees (mathematics) PB - IEEE PY - 2015 SP - 1210-15 ST - Clustering of tree-structured data T3 - 2015 IEEE International Conference on Information and Automation (ICIA) TI - Clustering of tree-structured data UR - http://dx.doi.org/10.1109/ICInfA.2015.7279471 ID - 1318 ER - TY - JOUR AB - BACKGROUND: Scoping reviews of research help determine the feasibility and the resource requirements of conducting a systematic review, and the potential to generate a description of the literature quickly is attractive. AIMS: To test the utility and applicability of an automated clustering tool to describe and group research studies to improve the efficiency of scoping reviews. METHODS: A retrospective study of two completed scoping reviews was conducted. This compared the groups and descriptive categories obtained by automatically clustering titles and abstracts with those that had originally been derived using traditional researcher-driven techniques. RESULTS: The clustering tool rapidly categorised research into themes, which were useful in some instances, but not in others. This provided a dynamic means to view each dataset. Interpretation was challenging where there were potentially multiple meanings of terms. Where relevant clusters were unambiguous, there was a high precision of relevant studies, although recall varied widely. CONCLUSIONS: Policy-relevant scoping reviews are often undertaken rapidly, and this could potentially be enhanced by automation depending on the nature of the dataset and information sought. However, it is not a replacement for researcher-developed classification. The possibilities of further applications and potential for use in other types of review are discussed. AU - Stansfield, Claire AU - Thomas, James AU - Kavanagh, Josephine DA - 2013/09//undefined DO - 10.1002/jrsm.1082 IS - 3 J2 - Res Synth Methods KW - *Natural Language Processing *Research Report *Review Literature as Topic *Vocabulary, Controlled automatic clustering automation Cluster Analysis Data Mining/*methods Documentation/*classification Information storage and retrieval machine learning methods, mapping Periodicals as Topic/classification scoping reviews text mining L1 - internal-pdf://3289099771/Stansfield_et_al-2013-Research_Synthesis_Metho.pdf LA - eng PY - 2013 SN - 1759-2887 1759-2879 SP - 230-241 ST - 'Clustering' documents automatically to support scoping reviews of research: a case study T2 - Research synthesis methods TI - 'Clustering' documents automatically to support scoping reviews of research: a case study VL - 4 ID - 257 ER - TY - CONF AB - News mining has gained increasing attention because of the overwhelming news produced everyday. Lots of news portals such as Sina (http://www.sina.com) and Chinanews (http://www.chinanews.com) develop tools to manage the billions of news and provide services to meet all kinds of needs. News analysis applications conduct news mining work and reveal valuable information. What they all need is news meta-data, the fundamental element to support news analysis work. To extract and maintain meta-data of news becomes an important and challenging task. In this paper, we present a system specialized for Chinese news meta-data extraction. It can identify 28 kinds of meta-data and provides not only a pipeline to extract them but also a systematic way for management. It facilitates the organizing and conducting of news mining processes and improves efficiency by avoiding duplication of work. More specifically, it introduces an innovative way to categorize news based on words' ability to represent category. It also adapts existing methods to extract keywords, entities and event elements. Integration of our system on news mining applications has proved its valuable contribution for news analysis work. AU - Junbo, Xia AU - Fei, Xie AU - Mengdi, Zhang AU - Yu, Su AU - Huanbo, Luan C3 - Semantic Technology. 5th Joint International Conference, JIST 2015, 11-13 Nov. 2015 DA - 2016 DO - 10.1007/978-3-319-31676-5_7 KW - data mining portals public domain software PB - Springer International Publishing PY - 2016 SP - 91-107 ST - CNME: A System for Chinese News Meta-Data Extraction T3 - Semantic Technology. 5th Joint International Conference, JIST 2015. Revised Selected Papers: LNCS 9544 TI - CNME: A System for Chinese News Meta-Data Extraction UR - http://dx.doi.org/10.1007/978-3-319-31676-5_7 ID - 1744 ER - TY - JOUR AB - Recent progress in functional neuroimaging has prompted studies of brain activation during various cognitive tasks. Coordinate-based meta-analysis has been utilized to discover the brain regions that are consistently activated across experiments. However, within-experiment co-activation relationships, which can reflect the underlying functional relationships between different brain regions, have not been widely studied. In particular, voxel-wise co-activation, which may be able to provide a detailed configuration of the co-activation network, still needs to be modeled. To estimate the voxel-wise co-activation pattern and deduce the co-activation network, a Co-activation Probability Estimation (CoPE) method was proposed to model within-experiment activations for the purpose of defining the co-activations. A permutation test was adopted as a significance test. Moreover, the co-activations were automatically separated into local and long-range ones, based on distance. The two types of co-activations describe distinct features: the first reflects convergent activations; the second represents co-activations between different brain regions. The validation of CoPE was based on five simulation tests and one real dataset derived from studies of working memory. Both the simulated and the real data demonstrated that CoPE was not only able to find local convergence but also significant long-range co-activation. In particular, CoPE was able to identify a 'core' co-activation network in the working memory dataset. As a data-driven method, the CoPE method can be used to mine underlying co-activation relationships across experiments in future studies. (C) 2015 Elsevier Inc. All rights reserved. AU - Chu, Congying AU - Fan, Lingzhong AU - Eickhoff, Claudia R. AU - Liu, Yong AU - Yang, Yong AU - Eickhoff, Simon B. AU - Jiang, Tianzi DA - 2015/08/15/ DO - 10.1016/j.neuroimage.2015.05.069 L1 - internal-pdf://1372261796/Chu-2015-Co-activation Probability Estimation.pdf PY - 2015 SN - 1053-8119 SP - 397-407 ST - Co-activation Probability Estimation (CoPE): An approach for modeling functional co-activation architecture based on neuroimaging coordinates T2 - Neuroimage TI - Co-activation Probability Estimation (CoPE): An approach for modeling functional co-activation architecture based on neuroimaging coordinates UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4801476/pdf/nihms764445.pdf VL - 117 ID - 1885 ER - TY - CONF AB - The problem of predicting links or interactions between objects in a network, is an important task in network analysis. Along this line, link prediction between co-authors in a co-author network is a frequently studied problem. In most of these studies, authors are considered in a homogeneous network, i.e., only one type of objects (author type) and one type of links (co-authorship) exist in the network. However, in a real bibliographic network, there are multiple types of objects (e.g., venues, topics, papers) and multiple types of links among these objects. In this paper, we study the problem of co-author relationship prediction in the heterogeneous bibliographic network, and a new methodology called PathPredict, i.e., meta path-based relationship prediction model, is proposed to solve this problem. First, meta path-based topological features are systematically extracted from the network. Then, a supervised model is used to learn the best weights associated with different topological features in deciding the co-author relationships. We present experiments on a real bibliographic network, the DBLP network, which show that meta path-based heterogeneous topological features can generate more accurate prediction results as compared to homogeneous topological features. In addition, the level of significance of each topological feature can be learned from the model, which is helpful in understanding the mechanism behind the relationship building. 2011 IEEE. AU - Sun, Yizhou AU - Barber, Rick AU - Gupta, Manish AU - Aggarwal, Charu C. AU - Han, Jiawei C3 - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011, July 25, 2011 - July 27, 2011 DA - 2011 DO - 10.1109/ASONAM.2011.112 KW - Electric network analysis Forecasting Mathematical models Problem solving Social networking (online) Topology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 SP - 121-128 ST - Co-author relationship prediction in heterogeneous bibliographic networks T3 - Proceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011 TI - Co-author relationship prediction in heterogeneous bibliographic networks UR - http://dx.doi.org/10.1109/ASONAM.2011.112 ID - 612 ER - TY - CONF AB - Terms are the building blocks to organize and access information, and hold a key position in information retrieval. In forthcoming work we have shown how a methodology of indexing full-text scientific articles combined with an exploratory statistical analysis can improve on bibliometric approaches to mapping science. Textual documents are indexed and further characterized using data mining techniques and co-word analysis. We start this paper by briefly demonstrating the text mining approach. Whereas statistical processing based on full-text documents provides a relational view based on the topicality represented by these documents, bibliometric components can include other characteristics that describe their position in the set. Therefore we extend on previous work and explore how hybrid methodologies that deeply combine text analysis and bibliometric methods can improve the mapping of science and technology. In particular, we propose a method to mathematically combine document similarity matrices resulting from vector-based indices on the one hand, and from selected bibliometric indicators on the other hand. Weighted linear combinations as well as approaches inspired on statistical meta-analysis are presented. Both pitfalls and possible solutions are discussed. The resulting combined similarity matrix offers an attractive way to 'co-cluster' documents based on both lexical and bibliographic information. AU - Janssens, Frizo AU - Glenisson, Patrick AU - Glanzel, Wolfgang AU - De Moor, Bart C3 - 10th Biennial International Conference of the International Society for Scientometrics and Informetrics, ISSI 2005, July 24, 2005 - July 28, 2005 DA - 2005 KW - data mining N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Society for Scientometrics and Informetrics PY - 2005 SP - 284-289 ST - Co-clustering approaches to integrate lexical and bibliographical information T3 - Proceedings of ISSI 2005: 10th International Conference of the International Society for Scientometrics and Informetrics TI - Co-clustering approaches to integrate lexical and bibliographical information VL - 1 ID - 1146 ER - TY - JOUR AB - In data mining, classification rule learning extracts the knowledge in the representation of IF THEN rule which is comprehensive and readable. It is a challenging problem due to the complexity of data sets. Various meta-heuristic machine learning algorithms are proposed for rule learning. Cooperative rule learning is the discovery process of all classification rules with a single run concurrently. In this paper, a novel cooperative rule learning algorithm, called CoABCMiner, based on Artificial Bee Colony is introduced. The proposed algorithm handles the training data set and discovers the classification model containing the rule list. Token competition, new updating strategy used in onlooker and employed phases, and new scout bee mechanism are proposed in CoABCMiner to achieve cooperative learning of different rules belonging to different classes. We compared the results of CoABCMiner with several state-of-the-art algorithms using 14 benchmark data sets. Non parametric statistical tests, such as Friedman test, post hoc test, and contrast estimation based on medians are performed. Nonparametric tests determine the similarity of control algorithm among other algorithms on multiple problems. Sensitivity analysis of CoABCMiner is conducted. It is concluded that CoABCMiner can be used to discover classification rules for the data sets used in experiments, efficiently. AU - Celik, M. AU - Koylu, F. AU - Karaboga, D. DA - 2016/02// DO - 10.1142/S0218213015500281 IS - 1 J2 - International Journal on Artificial Intelligence Tools (Architectures, Languages, Algorithms) KW - Computational complexity data mining learning (artificial intelligence) optimisation pattern classification statistical testing PY - 2016 SN - 0218-2130 SP - 1550028-(50 pp.) ST - CoABCMiner: an Algorithm for Cooperative Rule Classification System Based on Artificial Bee Colony T2 - International Journal on Artificial Intelligence Tools (Architectures, Languages, Algorithms) TI - CoABCMiner: an Algorithm for Cooperative Rule Classification System Based on Artificial Bee Colony UR - http://dx.doi.org/10.1142/S0218213015500281 VL - 25 ID - 1396 ER - TY - CHAP AB - Background Background Evidence from some, but not all non-randomised studies suggest the possibility that cognitive training may influence cognitive functioning in older people. Due to the differences among cognitive training interventions reported in the literature, giving a general overview of the current literature remains difficult. Objectives Objectives To systematically review the literature and summarize the effect of cognitive training interventions on various domains of cognitive function (ie memory, executive function, attention and speed) in healthy older people and in people with mild cognitive impairment. Search methods Search methods The CDCIG Specialized Register was searched on 30 September 2007 for all years up to December 2005. The Cochrane Library, MEDLINE, EMBASE, PsycINFO and CINAHL were searched separately on 30 September 2007 to find trials with healthy people. These results were supplemented by searches from January 1970 to September 2007 in PsychInfo/Psyndex, ISI Web of Knowledge and PubMed. Selection criteria Selection criteria RCTs of interventions evaluating the effectiveness of cognitive training for healthy older people and people with mild cognitive impairment from 1970 to 2007 that met inclusion criteria were selected. Data collection and analysis Data collection and analysis Authors independently extracted data and assessed trial quality. Meta-analysis was performed when appropriate. Main results Main results Only data on memory training could be pooled for analysis. Within this domain, training interventions were grouped according to several outcome variables. Results showed that for healthy older adults, immediate and delayed verbal recall improved significantly through training compared to a no-treatment control condition. We did not find any specific memory training effects though as the improvements observed did not exceed the improvement in the active control condition. For individuals with mild cognitive impairment, our analyses demonstrate the same pattern. Thus, there is currently little evidence on the effectiveness and specificity of memory interventions for healthy older adults and individuals with mild cognitive impairment. Authors' conclusions Authors' conclusions There is evidence that cognitive interventions do lead to performance gains but none of the effects observed could be attributable specifically to cognitive training, as the improvements observed did not exceed the improvement in active control conditions. This does not mean that longer, more intense or different interventions might not be effective, but that those which have been reported thus far have only limited effect. We therefore suggest more standardized study protocols in order to maximize comparability of studies and to maximize the possibility of data pooling - also in other cognitive domains than memory. AU - Martin, Mike AU - Clare, Linda AU - Altgassen, Anne Mareike AU - Cameron, Michelle H. AU - Zehnder, Franzisca DP - Wiley Online Library LA - en PB - John Wiley & Sons, Ltd PY - 2011 ST - Cognition-based interventions for healthy older people and people with mild cognitive impairment T2 - Cochrane Database of Systematic Reviews TI - Cognition-based interventions for healthy older people and people with mild cognitive impairment UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006220.pub2/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006220.pub2/full Y2 - 2016/09/18/20:15:38 ID - 430 ER - TY - CONF AB - We have built a decision support system that provides recommendations for customizing radiation therapy treatment plans, based on patient models generated from a database of retrospective planning data. This database consists of relevant metadata and information derived from the following DICOM objects - CT images, RT Structure Set, RT Dose and RT Plan. The usefulness and accuracy of such patient models partly depends on the sample size of the learning data set. Our current goal is to increase this sample size by expanding our decision support system into a collaborative framework to include contributions from multiple collaborators. Potential collaborators are often reluctant to upload even anonymized patient files to repositories outside their local organizational network in order to avoid any conflicts with HIPAA Privacy and Security Rules. We have circumvented this problem by developing a tool that can parse DICOM files on the client's side and extract de-identified numeric and text data from DICOM RT headers for uploading to a centralized system. As a result, the DICOM files containing PHI remain local to the client side. This is a novel workflow that results in adding only relevant yet valuable data from DICOM files to the centralized decision support knowledge base in such a way that the DICOM files never leave the contributor's local workstation in a cloud-based environment. Such a workflow serves to encourage clinicians to contribute data for research endeavors by ensuring protection of electronic patient data. AU - Deshpande, R. AU - Thuptimdang, W. AU - DeMarco, J. AU - Liu, B. J. C3 - Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations, 18-20 Feb. 2014 DA - 2014 DO - 10.1117/12.2044010 KW - cloud computing computerised tomography data mining data protection Decision support systems dosimetry electronic health records learning (artificial intelligence) meta data radiation therapy text analysis L1 - internal-pdf://1954696532/Deshpande-2014-A collaborative framework for c.pdf PB - SPIE - The International Society for Optical Engineering PY - 2014 SN - 1605-7422 SP - 90390K-(7 pp.) ST - A collaborative framework for contributing DICOM RT PHI (Protected Health Information) to augment data mining in clinical decision support T2 - Proceedings of the SPIE - Progress in Biomedical Optics and Imaging T3 - Proc. SPIE, Prog. Biomed. Opt. Imaging (USA) TI - A collaborative framework for contributing DICOM RT PHI (Protected Health Information) to augment data mining in clinical decision support UR - http://dx.doi.org/10.1117/12.2044010 http://proceedings.spiedigitallibrary.org.ezproxy.lib.vt.edu/data/Conferences/SPIEP/78976/90390K.pdf VL - 9039 ID - 1730 ER - TY - CONF AB - It is admitted that there is parallel between a System of Systems (SoS) and Collaborative Networked Organizations (CNOs). SoS Engineering (SoSE) carefully focuses on choosing, assembling and interfacing existing systems to build the so-called SoS. In this context, and as demonstrated by the literature and the System Engineering domain, interoperability takes on its full meaning and has to be fully considered as a decisive factor when organizations set up a CNO. This paper proposes to 1) model the SoS through a metamodel that includes concepts which 2) enable interoperability modeling and the analysis of its impact on the SoS characteristics, stability, integrity, performance and behavior. The proposed analysis is based on a verification approach mixing simulation and formal proof techniques. IFIP International Federation for Information Processing 2014. AU - Bilal, Mustapha AU - Daclin, Nicolas AU - Chapurlat, Vincent C3 - 15th IFIP WG 5.5Working Conference on Virtual Enterprises, PRO-VE 2014, October 6, 2014 - October 8, 2014 DA - 2014 KW - Computer supported cooperative work Interoperability Models Societies and institutions Systems engineering Verification Virtual corporation N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer New York LLC PY - 2014 SN - 18684238 SP - 227-234 ST - Collaborative networked organizations as system of systems: A model-based engineering approach T3 - IFIP Advances in Information and Communication Technology TI - Collaborative networked organizations as system of systems: A model-based engineering approach VL - 434 ID - 561 ER - TY - JOUR AB - Empirical auto-tuning and machine learning techniques have been showing high potential to improve execution time, power consumption, code size, reliability and other important metrics of various applications for more than two decades. However, they are still far from widespread production use due to lack of native support for auto-tuning in an ever changing and complex software and hardware stack, large and multi-dimensional optimization spaces, excessively long exploration times, and lack of unified mechanisms for preserving and sharing of optimization knowledge and research material. We present a possible collaborative approach to solve above problems using Collective Mind knowledge management system. In contrast with previous cTuning framework, this modular infrastructure allows to preserve and share through the Internet the whole auto-tuning setups with all related artifacts and their software and hardware dependencies besides just performance data. It also allows to gradually structure, systematize and describe all available research material including tools, benchmarks, data sets, search strategies and machine learning models. Researchers can take advantage of shared components and data with extensible meta-description to quickly and collaboratively validate and improve existing auto-tuning and benchmarking techniques or prototype new ones. The community can now gradually learn and improve complex behavior of all existing computer systems while exposing behavior anomalies or model mispredictions to an interdisciplinary community in a reproducible way for further analysis. We present several practical, collaborative and model-driven auto-tuning scenarios. We also decided to release all material at c-mind.org/repo to set up an example for a collaborative and reproducible research as well as our new publication model in computer engineering where experimental results are continuously shared and validated by the community. 2014 - IOS Press and the authors. All rights reserved. AU - Fursin, Grigori AU - Miceli, Renato AU - Lokhmotov, Anton AU - Gerndt, Michael AU - Baboulin, Marc AU - Malony, Allen D. AU - Chamski, Zbigniew AU - Novillo, Diego AU - Del Vento, Davide DA - 2014 DO - 10.3233/SPR-140396 IS - 4 J2 - Scientific Programming KW - artificial intelligence Benchmarking Big data Computer hardware data mining Hardware Information Management Knowledge based systems Knowledge management Learning systems Multiobjective optimization Power supply circuits research and development management Search Engines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 10589244 SP - 309-329 ST - Collective mind: Towards practical and collaborative auto-tuning T2 - Scientific Programming TI - Collective mind: Towards practical and collaborative auto-tuning UR - http://dx.doi.org/10.3233/SPR-140396 http://content.iospress.com/articles/scientific-programming/spr396 VL - 22 ID - 812 ER - TY - JOUR AU - Smith, Fraser M. AU - Gallagher, William M. AU - Fox, Edward AU - Stephens, Richard B. AU - Rexhepaj, Elton AU - Petricoin 3rd, Emanuel F. AU - Liotta, Lance AU - Kennedy, M. John AU - Reynolds, John V. DA - 2007 DP - Google Scholar IS - 2 L1 - https://www.researchgate.net/profile/Lance_Liotta/publication/6558454_Combination_of_SELDI-TOF-MS_and_data_mining_provides_early-stage_response_prediction_for_rectal_tumors_undergoing_multimodal_neoadjuvant_therapy/links/0deec526982dacd7d6000000.pdf PY - 2007 SP - 259-266 ST - Combination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy T2 - Annals of Surgery TI - Combination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy UR - http://journals.lww.com/annalsofsurgery/Abstract/2007/02000/Combination_of_SELDI_TOF_MS_and_Data_Mining.15.aspx VL - 245 Y2 - 2016/09/24/16:08:30 ID - 2444 ER - TY - JOUR AB - Background: Systems are considered legacy when their maintenance costs raise to unmanageable levels, but they still deliver valuable benefits for companies. One intrinsic problem of this kind of system is the presence of crosscutting concerns in their architecture, hindering its comprehension and evolution. Architecture-driven modernization (ADM) is the new generation of reengineering in which models are used as main artifacts during the whole process. Using ADM, it is possible to modernize legacy systems by remodularizing their concerns in a more modular shape. In this sense, the first step is the identification of source code elements that contribute to the implementation of those concerns, a process known as concern mining. Although there exist a number of concern mining approaches in the literature, none of them are devoted to ADM, leading individual groups to create their own ad hoc proprietary solutions. In this paper, we propose an approach called crosscutting-concern knowledge discovery meta-model (CCKDM) whose goal is to mine crosscutting concerns in ADM context. Our approach employs a combination of a concern library and a K-means clustering algorithm. Methods: We have conducted an experimental study composed of two analyses. The first one aimed to identify the most suitable levenshtein values to apply the clustering algorithm. The second one aimed to check the recall and precision of our approach when compared to oracles and also to two other existing mining techniques (XScan and Timna) found in literature. Results: The main result of this work is a combined mining approach for KDM that enables a concern-oriented modernization to be performed. As a secondary and more general result, this work shows that it is possible to adapt existing concern mining code-level approaches for being used in ADM processes and maintain the same level of precision and recall. Conclusions: By using the approach herein presented, it was possible to conclude the following: (i) it is possible to automate the identification of crosscutting concerns in KDM models and (ii) the results are similar or equal to other approaches. AU - San Martin Santibanez, D. AU - Serapilha Durelli, R. AU - Vieira de Camargo, V. DA - 2015/12// DO - 10.1186/s13173-015-0030-3 IS - 1 J2 - Journal of the Brazilian Computer Society KW - data mining pattern clustering software maintenance source code (software) PY - 2015 SN - 0104-6500 SP - 10-(20 pp.) ST - A combined approach for concern identification in KDM models T2 - Journal of the Brazilian Computer Society TI - A combined approach for concern identification in KDM models UR - http://dx.doi.org/10.1186/s13173-015-0030-3 VL - 21 ID - 1236 ER - TY - CONF AB - Earthworks tasks aim at levelling the ground surface at a target construction area and precede any kind of structural construction (e.g., road and railway construction). It is comprised of sequential tasks, such as excavation, transportation, spreading and compaction, and it is strongly based on heavy mechanical equipment and repetitive processes. Under this context, it is essential to optimize the usage of all available resources under two key criteria: the costs and duration of earthwork projects. In this paper, we present an integrated system that uses two artificial intelligence based techniques: data mining and evolutionary multi-objective optimization. The former is used to build data-driven models capable of providing realistic estimates of resource productivity, while the latter is used to optimize resource allocation considering the two main earthwork objectives (duration and cost). Experiments held using real-world data, from a construction site, have shown that the proposed system is competitive when compared with current manual earthwork design. Springer International Publishing Switzerland 2015. AU - Parente, Manuel AU - Cortez, Paulo AU - Correia, Antonio Gomes C3 - 8th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2015, March 29, 2015 - April 1, 2015 DA - 2015 DO - 10.1007/978-3-319-15892-1_35 KW - artificial intelligence Cost Benefit Analysis data mining Excavation Foundations Multiobjective optimization Optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 514-528 ST - Combining data mining and evolutionary computation for multi-criteria optimization of earthworks T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Combining data mining and evolutionary computation for multi-criteria optimization of earthworks UR - http://dx.doi.org/10.1007/978-3-319-15892-1_35 VL - 9019 ID - 1616 ER - TY - BOOK A3 - Huang, T. L. A2 - Li, L. F. A2 - Zhao, M. AB - Many current mining tasks analyze data in environments with distributed computing nodes. Classification in such scenario needs to perform local mining task in each data site and then integrate local classifiers to a global model of the data. However, integration strategy can influence the performance and complexity of the final model. In this paper, based on the formalization of combining multiple classifiers by stacking in Distributed Data Mining, a new strategy to from meta-level training set is proposed, which can describe the vote made by each base-level classifiers. The experiment results show that our method achieve better performance for those datasets with highly skewed class distribution. AU - Yanyan, Wei AU - Taoshen, Li AU - Zhihui, Ge DA - 2009 PY - 2009 SN - 978-0-7695-3899-0 ST - Combining Distributed Classifies by Stacking TI - Combining Distributed Classifies by Stacking ID - 2086 ER - TY - JOUR AB - Building probabilistic and decision-theoretic models requires a considerable knowledge engineering effort in which the most daunting task is obtaining the numerical parameters. Authors of Bayesian networks usually combine various sources of information, such as textbooks, statistical reports, databases, and expert judgement. In this paper, we demonstrate the risks of such a combination, even when this knowledge encompasses such seemingly population-independent characteristics as sensitivity and specificity of medical symptoms. We show that the criteria "do not combine knowledge from different sources" or "use only data from the setting in which the model will be used" are neither necessary nor sufficient to guarantee the correctness of the model. Instead, we offer graphical criteria for determining when knowledge from different sources can be safely combined into the general population model. We also offer a method for building subpopulation models. The analysis performed in this paper and the criteria we propose may be useful in such fields as knowledge engineering, epidemiology, machine learning, and statistical meta-analysis. AU - Druzdzel, Marek J. AU - Diez, Francisco J. DA - 2004 DO - 10.1162/153244304773633834 IS - 3 J2 - Journal of Machine Learning Research KW - Algorithms Database systems data mining decision making Graph theory Knowledge based systems knowledge engineering Mathematical models Parameter estimation Probability distributions Statistical methods User interfaces N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2004 SN - 15324435 SP - 295-316 ST - Combining knowledge from different sources in causal probabilistic models T2 - Journal of Machine Learning Research TI - Combining knowledge from different sources in causal probabilistic models UR - http://dx.doi.org/10.1162/153244304773633834 VL - 4 ID - 965 ER - TY - JOUR AB - Science monitoring is a core issue in the new world of business and research. Companies and institutes need to monitor the activities of their competitors, get information on the market, changing technologies or government policies. This paper presents the Tetralogie platform that is aimed at allowing a user to interactively discover trends in scientific research and communities from large textual collections that include information about geographical location. Tetralogie consists of several agents that communicate with each other on users' demands in order to deliver results to them. Metadata and document content are extracted before being mined. Results are displayed in the form of histograms, networks and geographical maps; these complementary types of presentations increase the possibilities of analysis compared to the use of these tools separately. We illustrate the overall process through a case study of scientific literature analysis and show how the different agents can be combined to discover the structure of a domain. The system correctly predicts the country contribution to a field in future years and allows exploration of the relationships between countries. [All rights reserved Elsevier]. AU - Mothe, J. AU - Chrisment, C. AU - Taoufiq, Dkaki AU - Dousset, B. AU - Karouach, S. DA - 2006/07// DO - 10.1016/j.compenvurbsys.2005.09.004 IS - 4 J2 - Computers, Environment and Urban Systems KW - data analysis data mining data visualisation Geographic information systems meta data Monitoring scientific information systems PY - 2006 SN - 0198-9715 SP - 460-84 ST - Combining mining and visualization tools to discover the geographic structure of a domain T2 - Computers, Environment and Urban Systems TI - Combining mining and visualization tools to discover the geographic structure of a domain UR - http://dx.doi.org/10.1016/j.compenvurbsys.2005.09.004 VL - 30 ID - 1681 ER - TY - CONF AB - Blending is a well-established technique, commonly used to increase performance of predictive models. Its effectiveness has been confirmed in practice as most of the latest international data-mining contest winners were using some kind of a committee of classifiers to produce their final entry. This paper is a technical report presenting a method of using a genetic algorithm to optimize an ensemble of multiple classification or regression models. An implementation of this method in R, called Genetic Meta-Blender, was tested during the Australian Data Mining 2009 Analytic Challenge competition and it was awarded with the Grand Champion prize for achieving the best overall result. In the report, the purpose of the challenge is described and details of the winning approach are given. The results of Genetic Meta-Blender are also discussed and compared to several baseline scores. AU - Janusz, A. C3 - Rough Sets and Current Trends in Computing. 7th International Conference, RSCTC 2010, 28-30 June 2010 DA - 2010 DO - 10.1007/978-3-642-13529-3_15 KW - data mining Genetic algorithms pattern classification Regression Analysis PB - Springer-Verlag PY - 2010 SP - 130-7 ST - Combining Multiple Classification or Regression Models Using Genetic Algorithms T3 - Rough Sets and Current Trends in Computing. Proceedings 7th International Conference, RSCTC 2010 TI - Combining Multiple Classification or Regression Models Using Genetic Algorithms UR - http://dx.doi.org/10.1007/978-3-642-13529-3_15 ID - 1500 ER - TY - JOUR AB - Blending is a well-established technique, commonly used to increase performance of predictive models. Its effectiveness has been confirmed in practice as most of the latest international data-mining contest winners were using some kind of a committee of classifiers to produce their final entry. This paper presents a method of using a genetic algorithm to optimize an ensemble of multiple classification or regression models. An implementation of that method in R system, called Genetic MetaBlender, was tested during the Australasian Data Mining 2009 Analytic Challenge. A subject of this data mining competition was the methods for combining predictive models. The described approach was awarded with the Grand Champion prize for achieving the best overall result. In this paper, the purpose of the challenge is described and details of the winning approach are given. The results of Genetic Meta-Blender are also discussed and compared to several baseline scores. Additionally, GMB is evaluated on data from a different data mining competition, namely SIAM SDM' 11 Contest: Prediction of Biological Properties of Molecules from Chemical Structure. AU - Janusz, A. DA - 2012 DO - 10.3233/IDA-2012-0550 IS - 5 J2 - Intelligent Data Analysis KW - data mining Genetic algorithms learning (artificial intelligence) pattern classification Regression Analysis PY - 2012 SN - 1088-467X SP - 763-76 ST - Combining multiple predictive models using genetic algorithms T2 - Intelligent Data Analysis TI - Combining multiple predictive models using genetic algorithms UR - http://dx.doi.org/10.3233/IDA-2012-0550 http://content.iospress.com/articles/intelligent-data-analysis/ida00550 VL - 16 ID - 1440 ER - TY - CONF AB - In recent years, to help developers reduce time and effort required to build highly secure software, a number of prediction models which are built on different kinds of features have been proposed to identify vulnerable source code files. In this paper, we propose a novel approach VULPREDICTOR to predict vulnerable files, it analyzes software metrics and text mining together to build a composite prediction model. VULPREDICTOR first builds 6 underlying classifiers on a training set of vulnerable and non-vulnerable files represented by their software metrics and text features, and then constructs a meta classifier to process the outputs of the 6 underlying classifiers. We evaluate our solution on datasets from three web applications including Drupal, PHPMyAdmin and Moodle which contain a total of 3,466 files and 223 vulnerabilities. The experiment results show that VULPREDICTOR can achieve F1 and EffectivenessRatio@20% scores of up to 0.683 and 75%, respectively. On average across the 3 projects, VULPREDICTOR improves the F1 and EffectivenessRatio@20% scores of the best performing state-of-the-art approaches proposed by Walden et al. by 46.53% and 14.93%, respectively. AU - Yun, Zhang AU - Lo, D. AU - Xin, Xia AU - Bowen, Xu AU - Jianling, Sun AU - Shanping, Li C3 - 2015 20th International Conference on Engineering of Complex Computer Systems (ICECCS), 9-12 Dec. 2015 DA - 2015 DO - 10.1109/ICECCS.2015.15 KW - data mining pattern classification security of data software metrics source code (software) text analysis PB - IEEE Computer Society PY - 2015 SP - 40-9 ST - Combining software metrics and text features for vulnerable file prediction T3 - 2015 20th International Conference on Engineering of Complex Computer Systems (ICECCS). Proceedings TI - Combining software metrics and text features for vulnerable file prediction UR - http://dx.doi.org/10.1109/ICECCS.2015.15 ID - 1260 ER - TY - CONF AB - Twitter sentiment analysis or the task of automatically retrieving opinions from tweets has received an increasing interest from the web mining community. This is due to its importance in a wide range of fields such as business and politics. People express sentiments about specific topics or entities with different strengths and intensities, where these sentiments are strongly related to their personal feelings and emotions. A number of methods and lexical resources have been proposed to analyze sentiment from natural language texts, addressing different opinion dimensions. In this article, we propose an approach for boosting Twitter sentiment classification using different sentiment dimensions as meta-level features. We combine aspects such as opinion strength, emotion and polarity indicators, generated by existing sentiment analysis methods and resources. Our research shows that the combination of sentiment dimensions provides significant improvement in Twitter sentiment classification tasks such as polarity and subjectivity. AU - Bravo-Marquez, Felipe AU - Mendoza, Marcelo AU - Poblete, Barbara C3 - 2nd International Workshop on Issues of Sentiment Discovery and Opinion Mining, WISDOM 2013 - Held in Conjunction with SIGKDD 2013, August 11, 2013 - August 11, 2013 DA - 2013 DO - 10.1145/2502069.2502071 KW - data mining Natural language processing systems Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2013 SP - ACM-Special Interest Group on Knowledge Discovery in Data (SIGKDD); ACM Special Interest Group on Management of Data (SIGMOD) ST - Combining strengths, emotions and polarities for boosting Twitter sentiment analysis T3 - Proceedings of the 2nd International Workshop on Issues of Sentiment Discovery and Opinion Mining, WISDOM 2013 - Held in Conjunction with SIGKDD 2013 TI - Combining strengths, emotions and polarities for boosting Twitter sentiment analysis UR - http://dx.doi.org/10.1145/2502069.2502071 http://dl.acm.org/citation.cfm?doid=2502069.2502071 ID - 1379 ER - TY - CONF AB - Objective: to investigate studies about software processes looking for practices which can be used to obtain agility in software processes. Method: A systematic review including seven search engines was executed in Feb/2010. To apply the defined criteria to select papers and extract information regarding working practices bringing agility to software processes. Results: from 6696 retrieved papers, 441 were selected to support the identification of 236 occurrences of 51 distinct practices associated with the concept of agility. Their descriptions were deeply analyzed and consolidated. After discarding those which appeared in the technical literature in a small amount of papers, 17 agile practices were identified. Conclusion: although further studies are necessary to evaluate the efficacy of these 17 agile practices, 12 of them have been more commonly approached in the software projects and could be primarily considered: test driven development, continuous integration, pair programming, planning game, onsite customer, collective code ownership, small releases, metaphor, refactoring, sustainable pace, simple design and coding standards. AU - Abrantes, J. F. AU - Travassos, G. H. C3 - 2011 5th International Symposium on Empirical Software Engineering and Measurement (ESEM 2011), 22-23 Sept. 2011 DA - 2011 DO - 10.1109/ESEM.2011.47 KW - Search Engines software prototyping PB - IEEE Computer Society PY - 2011 SP - 355-8 ST - Common Agile Practices in Software Processes T3 - Proceedings of the 2011 5th International Symposium on Empirical Software Engineering and Measurement (ESEM 2011) TI - Common Agile Practices in Software Processes UR - http://dx.doi.org/10.1109/ESEM.2011.47 ID - 489 ER - TY - JOUR AB - This work aims at discovering community structure in rich media social networks through analysis of timevarying, multirelational data. Community structure represents the latent social context of user actions. It has important applications such as search and recommendation. The problem is particularly useful in the enterprise domain, where extracting emergent community structure on enterprise social media can help in forming new collaborative teams, in expertise discovery, and in the long term reorganization of enterprises based on collaboration patterns. There are several unique challenges: (a) In social media, the context of user actions is constantly changing and coevolving; hence the social context contains time-evolving multidimensional relations. (b) The social context is determined by the available system features and is unique in each social media platform; hence the analysis of such data needs to flexibly incorporate various system features. In this article we propose MetaFac (MetaGraph Factorization), a framework that extracts community structures from dynamic, multidimensional social contexts and interactions. Our work has three key contributions: (1) metagraph, a novel relational hypergraph representation for modeling multirelational and multidimensional social data; (2) an efficient multirelational factorization method for community extraction on a given metagraph; (3) an online method to handle time-varying relations through incremental metagraph factorization. Extensive experiments on real-world social data collected from an enterprise and the public Digg social media Web site suggest that our technique is scalable and is able to extract meaningful communities from social media contexts. We illustrate the usefulness of our framework through two prediction tasks: (1) in the enterprise dataset, the task is to predict users' future interests on tag usage, and (2) in the Digg dataset, the task is to predict users' future interests in voting and commenting on Digg stories. Our prediction significantly outperforms baseline methods (including aspect model and tensor analysis), indicating the promising direction of using metagraphs for handling time-varying social relational contexts. 2011 ACM. AU - Lin, Yu-Ru AU - Sun, Jimeng AU - Sundaram, Hari AU - Kelliher, Aisling AU - Castro, Paul AU - Konuru, Ravi DA - 2011 DO - 10.1145/1993077.1993081 IS - 3 J2 - ACM Transactions on Knowledge Discovery from Data KW - data mining Electric network analysis Factorization Forecasting Industry Social networking (online) Social sciences Tensors Time varying systems User interfaces N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 15564681 ST - Community discovery via MetaGraph Factorization T2 - ACM Transactions on Knowledge Discovery from Data TI - Community discovery via MetaGraph Factorization UR - http://dx.doi.org/10.1145/1993077.1993081 http://dl.acm.org/citation.cfm?doid=1993077.1993081 VL - 5 ID - 1075 ER - TY - JOUR AU - O'Mara-Eves, Alison AU - Brunton, Ginny AU - McDaid, G. AU - Oliver, Sandy AU - Kavanagh, Josephine AU - Jamal, Farah AU - Matosevic, Tihana AU - Harden, Angela AU - Thomas, James DA - 2013 DP - Google Scholar IS - 4 L1 - http://roar.uel.ac.uk/3349/1/FullReport-phr01040.pdf PY - 2013 ST - Community engagement to reduce inequalities in health T2 - Public Health Research TI - Community engagement to reduce inequalities in health: a systematic review, meta-analysis and economic analysis UR - http://roar.uel.ac.uk/3349/ VL - 1 Y2 - 2016/09/24/15:37:30 ID - 2361 ER - TY - CHAP A2 - Friemel, T. N. AB - Data that encompasses relationships is represented by a graph of interconnected nodes. Social network analysis is the study of such graphs which examines questions related to structures and patterns that can lead to the understanding of the data and predicting the trends of social networks. Static analysis, where the time of interaction is not considered (i.e., the network is frozen in time), misses the opportunity to capture the evolutionary patterns in dynamic networks. Specifically, detecting the community evolutions, the community structures that changes in time, provides insight into the underlying behaviour of the network. Recently, a number of researchers have started focusing on identifying critical events that characterize the evolution of communities in dynamic scenarios. In this paper, we present a framework for modeling and detecting community evolution in social networks, where a series of significant events is defined for each community. A community matching algorithm is also proposed to efficiently identify and track similar communities over time. We also define the concept of meta community which is a series of similar communities captured in different timeframes and detected by our matching algorithm. We illustrate the capabilities and potential of our framework by applying it to two real datasets. Furthermore, the events detected by the framework is supplemented by extraction and investigation of the topics discovered for each community. (C) 2011 Published by Elsevier Ltd. AU - Takaffoli, Mansoureh AU - Sangi, Farzad AU - Fagnan, Justin AU - Zaiane, Osmar R. PY - 2011 ST - Community Evolution Mining in Dynamic Social Networks T2 - Dynamics of Social Networks 7th Conference on Applications of Social Network Analysis-Asna 2010 TI - Community Evolution Mining in Dynamic Social Networks VL - 22 ID - 2099 ER - TY - JOUR AB - Biotic and abiotic stresses adversely affect agriculture by reducing crop growth and productivity worldwide. To investigate the abiotic stress-responsive genes in Arabidopsis thaliana, we compiled a dataset of stress signals and differentially upregulated genes (>= 2.5 fold change) from Stress-responsive transcription Factors DataBase (STIFDB) with additional set of stress signals and genes curated from PubMed and Gene Expression Omnibus. A dataset of 3091 genes differentially upregulated due to 14 different stress signals (abscisic acid, aluminum, cold, cold-drought-salt, dehydration, drought, heat, iron, light, NaCl, osmotic stress, oxidative stress, UV-B and wounding) were curated and used for the analysis. Details about stress-responsive enriched genes and their association with stress signals can be obtained from STIFDB2 database . The gene-stress-signal data were analyzed using an enrichment-based meta-analysis framework consisting of two different ontologies (Gene Ontology and Plant Ontology), biological pathway and functional domain annotations. We found several shared and distinct biological processes, cellular components and molecular functions associated with stress-responsive genes. Pathway analysis revealed that stress-responsive genes perturbed the pathways under the "Metabolic pathways" category. We also found several shared and stress-signal specific protein domains, suggesting functional mechanisms regulating stress-response. Phenomic characteristics of abiotic stress-responsive genes were ascertained for several stresses and found to be shared by multiple stresses in both anatomy and temporal categories of Plant Ontology. We found several constitutive stress-responsive genes that are differentially upregulated due to perturbation of different stress signals, for example a gene (AT1G68440) involved in phenylpropanoid metabolism and polyamine catabolism as responsive to seven different stress signals. We also performed structure-function prediction of five genes associated responsive to multiple abiotic stress signals. We envisage that results from our analysis that provide insight into functional repertoire, metabolic pathways and phenomic characteristics common and specifically associated with stress signals would help to understand abiotic stress regulome in Arabidopsis thaliana and may also help to develop an improved plant variety using molecular breeding and genetic engineering techniques that are rapidly stress-responsive and tolerant. AU - Naika, Mahantesha AU - Shameer, Khader AU - Sowdhamini, Ramanathan DA - 2013/07//undefined DO - 10.1039/c3mb70072k IS - 7 J2 - Mol Biosyst KW - *Genomics Arabidopsis/*genetics/metabolism Arabidopsis Proteins/chemistry/genetics/metabolism Computational Biology/methods Databases, Genetic data mining Gene Expression Profiling Gene Expression Regulation, Plant Gene Regulatory Networks Molecular Sequence Annotation Protein Interaction Domains and Motifs Signal Transduction Stress, Physiological/*genetics Structure-Activity Relationship LA - eng PY - 2013 SN - 1742-2051 1742-2051 SP - 1888-1908 ST - Comparative analyses of stress-responsive genes in Arabidopsis thaliana: insight from genomic data mining, functional enrichment, pathway analysis and phenomics T2 - Molecular bioSystems TI - Comparative analyses of stress-responsive genes in Arabidopsis thaliana: insight from genomic data mining, functional enrichment, pathway analysis and phenomics VL - 9 ID - 197 ER - TY - JOUR AB - 1201 published maize QTLs conferring for 68 traits were collected and imported into local CMap software to construct an integrated QTL map, which can be used for marker-mining, QTL localization, gene cloning and marker-assisted selection. The maize integrated QTL map showed that maize QTLs for various traits usually clustered in all chromosomes 22 plant height QTLs of maize were co-linear with 64 plant height QTLs of rice, 43 grain yield QTLs of maize were co-liner with 7 grain yield QTLs of rice. 127 plant height QTLs of maize were refined by means of "overview" analysis. At last, 40 "real" QTLs were identifed. A substantial number of candidate quantitative trait genes for plant height of maize were found. These results established an important bioinformatics platform for extracting most of maize QTL information. AU - Yi, Wang AU - Ji, Yao AU - Zhengfeng, Zhang AU - Yonglian, Zheng DA - 2006/09// DO - 10.1007/s11434-006-2119-8 IS - 18 PY - 2006 SN - 1001-6538 SP - 2219-2230 ST - The comparative analysis based on maize integrated QTL map and meta-analysis of plant height QTLs T2 - Chinese Science Bulletin TI - The comparative analysis based on maize integrated QTL map and meta-analysis of plant height QTLs VL - 51 ID - 1896 ER - TY - CONF AB - The combination of multiple classifiers using ensemble methods is increasingly important for making progress in a variety of difficult prediction problems. We present a comparative analysis of several ensemble methods through two case studies in genomics, namely the prediction of genetic interactions and protein functions, to demonstrate their efficacy on real-world datasets and draw useful conclusions about their behavior. These methods include simple aggregation, meta-learning, cluster-based meta-learning, and ensemble selection using heterogeneous classifiers trained on resampled data to improve the diversity of their predictions. We present a detailed analysis of these methods across 4 genomics datasets and find the best of these methods offer statistically significant improvements over the state of the art in their respective domains. In addition, we establish a novel connection between ensemble selection and meta-learning, demonstrating how both of these disparate methods establish a balance between ensemble diversity and performance. AU - Whalen, S. AU - Pandey, G. C3 - 2013 IEEE 13th International Conference on Data Mining (ICDM 2013), 7-10 Dec. 2013 DA - 2013 DO - 10.1109/ICDM.2013.21 KW - bioinformatics Genomics pattern classification Proteins PB - IEEE Computer Society PY - 2013 SP - 807-16 ST - A comparative analysis of ensemble classifiers: case studies in genomics T3 - 2013 IEEE 13th International Conference on Data Mining (ICDM 2013) TI - A comparative analysis of ensemble classifiers: case studies in genomics UR - http://dx.doi.org/10.1109/ICDM.2013.21 ID - 1432 ER - TY - CONF AB - Ontology provides shareable and reusable knowledge about a specific domain. Domain specific relational databases are being used for constructing ontologies due to huge amounts of data on the Web. The aim of this paper is to provide an overview along with the pros and cons of ontology construction techniques. The objective of our research is to overcome the shortcomings of existing techniques in our future work. We have done in depth analysis of various techniques for ontology construction from relational database (RDB) based on database schema analysis (meta-data, cardinality restrictions and data type information), stored data (through data mining) and also performed a comparative analysis of these techniques. AU - Pasha, M. AU - Sattar, A. C3 - 2011 4th International Conference on Intelligent Networks and Intelligent Systems, 1-3 Nov. 2011 DA - 2011 DO - 10.1109/ICINIS.2011.14 KW - Internet ontologies (artificial intelligence) relational databases PB - IEEE Computer Society PY - 2011 SP - 25-8 ST - Comparative Analysis of Ontology Construction Approaches from Relational Databases T3 - 2011 4th International Conference on Intelligent Networks and Intelligent Systems TI - Comparative Analysis of Ontology Construction Approaches from Relational Databases UR - http://dx.doi.org/10.1109/ICINIS.2011.14 ID - 1199 ER - TY - JOUR AB - It is non-trivial to select the appropriate prediction technique from a variety of existing techniques for a datasets, since the competitive evaluation of techniques (bagging, boosting, stacking and meta-learning) can be time consuming. This paper compares five predictive data mining techniques on four unique datasets that have a combination of the following characteristics: few predictor variables, many predictor variables, highly collinear variables, very redundant variables and the presence of outliers. Different data mining techniques, including multiple linear regression (MLR), principal component regression (PCR), ridge regression, partial least squares (PLS) and non-linear partial least squares (NLPLS), are applied to each of the datasets. The comparisons are based on different criteria: R-square, R-square adjusted, mean square error (MSE), mean absolute error (MAE), coefficient of efficiency, condition number (CN) and the number of variables of features included in the model. The advantages and disadvantages of the techniques are discussed and summarised. AU - Xueping, Li AU - Nsofor, G. C. AU - Laigang, Song DA - 2009 DO - 10.1504/IJRAPIDM.2009.029380 IS - 2 J2 - International Journal of Rapid Manufacturing KW - data mining mean square error methods Principal Component Analysis Regression Analysis PY - 2009 SN - 1757-8817 SP - 150-72 ST - A comparative analysis of predictive data mining techniques T2 - International Journal of Rapid Manufacturing TI - A comparative analysis of predictive data mining techniques UR - http://dx.doi.org/10.1504/IJRAPIDM.2009.029380 VL - 1 ID - 1848 ER - TY - JOUR AB - This paper presents the application of simulated annealing (SA), Tabu search (TS) and hybrid TSSA to solve a real-world mining optimisation problem called open pit block sequencing (OPBS). The OPBS seeks the optimum extraction sequences under a variety of geological and technical constraints over short-term horizons. As industry-scale OPBS instances are intractable for standard mixed integer programming (MIP) solvers, SA, TS and hybrid TSSA are developed to solve the OPBS problem. MIP exact solution is also combined with the proposed metaheuristics to polish solutions in feasible neighbourhood moves. Extensive sensitivity analysis is conducted to analyse the characteristics and determine the optimum sets of values of the proposed metaheuristics algorithms parameters. Computational experiments show that the proposed algorithms are satisfactory for solving the OPBS problem. Additionally, this comparative study shows that the hybrid TSSA is superior to SA or TS in solving the OPBS problem in several aspects. 2016, Springer Science+Business Media New York. AU - Mousavi, Amin AU - Kozan, Erhan AU - Liu, Shi Qiang DA - 2016 DO - 10.1007/s10732-016-9311-z IS - 3 J2 - Journal of Heuristics KW - Heuristic algorithms Integer programming Open pit mining Optimization Problem solving Sensitivity analysis Simulated annealing Tabu search N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 13811231 SP - 301-329 ST - Comparative analysis of three metaheuristics for short-term open pit block sequencing T2 - Journal of Heuristics TI - Comparative analysis of three metaheuristics for short-term open pit block sequencing UR - http://dx.doi.org/10.1007/s10732-016-9311-z VL - 22 ID - 1367 ER - TY - JOUR AB - The use of evidence-based practices in education has been gaining a lot of attention in recent years. Researchers often use meta-analyses to identify evidence-based practices. To conduct meta-analyses of studies employing single-subject experimental research (SSER) designs for the purpose of identifying evidence base for a practice, a necessary step is to obtain raw data from published graphs. One method for obtaining raw data from published SSER graphs is the use of computer programs specifically designed to extract data from graphs. Purpose of the present study was to examine the reliability and validity of three data extraction programs, Ungraph, GraphClick, and DigitizeIt, using 60 graphs obtained from 15 SSER studies focused on a practice. Three coders extracted data from the graphs using the three programs. Values extracted by each coder were compared to (a) each other (reliability) and (b) values reported in the original articles in which the graphs were obtained from (validity). Results showed that raw data from SSER graphs can be obtained reliably using all three data extraction programs and values obtained using the three programs are highly valid. These results suggest that researchers can use data extracted using these programs with a high level of confidences while conducting meta-analyses of studies employing SSER designs. Authors make recommendations for improving the accuracy of data extraction using the three programs. 2015 Elsevier Ltd. All rights reserved. AU - Rakap, Salih AU - Rakap, Serife AU - Evran, Derya AU - Cig, Oguzcan DA - 2016 DO - 10.1016/j.chb.2015.09.008 J2 - Computers in Human Behavior KW - data mining Extraction Graphic methods Occupational therapy reliability N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 07475632 SP - 159-166 ST - Comparative evaluation of the reliability and validity of three data extraction programs: UnGraph, GraphClick, and DigitizeIt T2 - Computers in Human Behavior TI - Comparative evaluation of the reliability and validity of three data extraction programs: UnGraph, GraphClick, and DigitizeIt UR - http://dx.doi.org/10.1016/j.chb.2015.09.008 VL - 55 ID - 1062 ER - TY - JOUR AB - Bacteria capable of anaerobic oxidation of ammonium (anammox) form a deep branching clade within the Planctomycetes. Although the core metabolic pathway of anammox bacteria is largely resolved, many questions still remain. Data mining of the (meta) genomes of anammox bacteria is a powerful method to address these questions or identify targets for further study. The availability of high quality reference data greatly aids such analysis. Currently, only a single "near complete" (similar to 98%) reference genome of an anammox bacterium is available; that of model organism "Candidatus Kuenenia stuttgartiensis." Here we present a comparative genomic analysis of two "Ca. K. stuttgartiensis" anammox bacteria that were independently enriched. The two anammox bacteria used are "Ca. K. stuttgartiensis" RU1, which was originally sequenced for the reference genome in 2002 and "Ca. K. stuttgartiensis" CH1, independently enriched from a Chinese wastewater treatment plant. The two different "Ca. Kuenenia" bacteria have a very high sequence identity (>99% at nucleotide level) over the entire genome, but 31 genomic regions (average size 11 kb) were absent from strain CH1 and 220 kb of sequence was unique to the CH1 assembly. The high sequence homology between these two bacteria indicates that mobile genetic elements are the main source of variation between these geographically widely separated strains. Comparative analysis of the RU1 and CH1 assemblies led to the identification of 49 genes absent from the reference genome. These include a leucyl-tRNA-synthase, the absence of which led to the estimation of the 98% completeness of the reference genome. Finally, a set of 244 genes was present in the reference genome, but absent in the RU1 and CH1 assemblies. These could represent either identical gene duplicates or assembly errors in the published genome. We are confident that this analysis has further improved the most complete available high quality reference genome of an anammox bacterium and will aid further studies on this globally important group of organisms. AU - Speth, Daan R. AU - Hu, Baolan AU - Bosch, Niek AU - Keltjens, Jan T. AU - Stunnenberg, Henk G. AU - Jetten, Mike S. M. DA - 2012 DO - 10.3389/fmicb.2012.00307 PY - 2012 SN - 1664-302X SP - 307 ST - Comparative genomics of two independently enriched "Candidatus Kuenenia stuttgartiensis" anammox bacteria T2 - Frontiers in Microbiology TI - Comparative genomics of two independently enriched "Candidatus Kuenenia stuttgartiensis" anammox bacteria VL - 3 ID - 2180 ER - TY - JOUR AB - Identification of deregulated biomolecular pathways in cancer may be more important than identification of individual genes through differential expression. We have analysed data from 87 microarray datasets, spanning 25 different types of cancer, and have identified several hundred pathways that are statistically significant (p 0.01) and deregulated in cancer. We also conducted a meta-analysis of 18 mouse cancer datasets and found that a statistically significant number of ontology terms are common between human and mouse cancers and known for their role in carcinogenesis. These point to critical pathways that are disrupted in both human and mouse cancers. AU - Chopra, P. AU - Jaewoo, Kang AU - Seung-Mo, Hong DA - 2013 IS - 3 J2 - International Journal of Data Mining and Bioinformatics KW - Cancer data analysis Genetics lab-on-a-chip medical computing molecular biophysics ontologies (artificial intelligence) PY - 2013 SN - 1748-5673 SP - 349-65 ST - Comparative meta-analysis between human and mouse cancer microarray data reveals critical pathways T2 - International Journal of Data Mining and Bioinformatics TI - Comparative meta-analysis between human and mouse cancer microarray data reveals critical pathways VL - 8 ID - 1782 ER - TY - JOUR AB - The phylum-level meta-analysis approach has been proposed as a way of comparing geographically different areas along a common scale of disturbance. However, the training data set which establishes the scale of disturbance and all subsequent studies using the approach have been exposed to some sort of organic or inorganic pollution. Using macrobenthic communities subjected to a short-lived but intense physical disturbance from offshore mining off the west coast of Southern Africa, we tested the applicability of the meta-analysis approach for assessing the severity of disturbance in physically disturbed communities. The positioning of the original data set along a primary axis of disturbance was maintained; however, a second significant separation, along the vertical axis, distinguishes between macrobenthic assemblages from southern Africa and the NE Atlantic Shelf. The southern African samples are characterised by a larger proportion of Crustacea, and in the case of mined samples Mollusca, whereas the NE Atlantic data contain relatively more Echinodermata in the unpolluted samples and are dominated by Annelida in the organically enriched areas. The proportion of annelids decreased by about 50% in mined areas compared to the non-mined areas and the NE Atlantic samples. Conversely, bivalves and gastropods exhibited a notable increase in proportion in the mined patches compared to the adjacent non-mined areas, possibly as a result of their preferential ability to survive the mining process or their better ability to recolonise after mining, or an interplay of both factors. The mining activity may result in the selection of species for their physical robustness and tolerance to mining rather than their resistance to pollution in the conventional sense. The failure of the meta-analysis to ordinate the mined samples along the primary horizontal axis of disturbance, as defined by Warwick & Clarke's original study (1993, Mar Ecol Prog Ser 92:221-231), does not reflect a failure of the meta-analysis to detect disturbance, but rather shows that the primary axis is strongly determined by the opportunistic species characteristic of organically enriched areas. It appears that phylum-level meta-analysis is better suited to assessing the impact of organic and chemical pollution on an ocean-basin scale than it is to physical disturbance caused by offshore mining. AU - Savage, C. AU - Field, J. G. AU - Warwick, R. M. DA - 2001 DO - 10.3354/meps221265 PY - 2001 SN - 0171-8630 SP - 265-275 ST - Comparative meta-analysis of the impact of offshore marine mining on macrobenthic communities versus organic pollution studies T2 - Marine Ecology Progress Series TI - Comparative meta-analysis of the impact of offshore marine mining on macrobenthic communities versus organic pollution studies VL - 221 ID - 1887 ER - TY - JOUR AB - The microbial community in a biological heap leaching (BHL) system is crucial for the decomposition of ores. However, the microbial community structure and functional differentiation in different parts of a biological heap leaching system are still unknown. In this study, metagenomic sequencing was used to fully illuminate the microbial community differentiation in the pregnant leach solution (PLS) and leaching heap (LH) of a BHL system. Long-read sequences (1.3 million) were obtained for the two samples, and the MG_RAST server was used to perform further analysis. The taxa analysis results indicated that the dominant genera of PLS is autotrophic bacterium Acidithiobacillus, but heterotrophic bacterium Acidiphilium is predominant in LH. Furthermore, functional annotation and hierarchical comparison with different reference samples showed that the abundant presence of genes was involved in transposition, DNA repair and heavy metal transport. The sequences related to transposase, which is important for the survival of the organism in the hostile environment, were both mainly classified into Acidiphilium for PLS and LH. These results indicated that not only autotrophic bacteria such as Acidithiobacillus, but also heterotrophic bacteria such as Acidiphilium, were essential participants in the bioleaching process. This new meta-view research will further facilitate the effective application of bioleaching. (C) 2015 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved. AU - Hu, Qi AU - Guo, Xue AU - Liang, Yili AU - Hao, Xiaodong AU - Ma, Liyuan AU - Yin, Huaqun AU - Liu, Xueduan DA - 2015/08//JUL DO - 10.1016/j.resmic.2015.06.005 IS - 6 L1 - internal-pdf://3103617806/Hu-2015-Comparative metagenomics reveals micro.pdf PY - 2015 SN - 0923-2508 SP - 525-534 ST - Comparative metagenomics reveals microbial community differentiation in a biological heap leaching system T2 - Research in Microbiology TI - Comparative metagenomics reveals microbial community differentiation in a biological heap leaching system UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0923250815001023/1-s2.0-S0923250815001023-main.pdf?_tid=f3527fe4-833a-11e6-bb78-00000aab0f27&acdnat=1474820169_bb9df9216d6514bb5c25e41df86e56da VL - 166 ID - 2061 ER - TY - JOUR AB - Chitin is a structural endogenous carbohydrate, which is a major component of fungal cell walls and arthropod exoskeletons. A renewable resource and the second most abundant polysaccharide in nature after cellulose, chitin is currently used for waste water clearing, cosmetics, medical, and veterinary applications. This work comprises data mining of protein sequences related to the chitin metabolic pathway of completely sequenced genomes of extant organisms pertaining to the three life domains, followed by meta-analysis using traditional sequence similarity comparison and complex network approaches. Complex networks involving proteins of the chitin metabolic pathway in extant organisms were constructed based on protein sequence similarity. Several usual network indices were estimated in order to obtain information on the topology of these networks, including those related to higher order neighborhood properties. Due to the assumed evolutionary character of the system, we also discuss issues related to modularity properties, with the concept of edge betweenness playing a particularly important role in our analysis. Complex network approach correctly identifies clusters of organisms that belong to phylogenetic groups without any a priori knowledge about the biological features of the investigated protein sequences. We envisage the prospect of using such a complex network approach as a high-throughput phylogenetic method. AU - Goes-Neto, Aristoteles AU - Diniz, Marcelo V. C. AU - Santos, Leonardo B. L. AU - Pinho, Suani T. R. AU - Miranda, Jose G. V. AU - Lobao, Thierry Petit AU - Borges, Ernesto P. AU - El-Hani, Charbel Nino AU - Andrade, Roberto F. S. DA - 2010/07//undefined DO - 10.1016/j.biosystems.2010.04.006 IS - 1 J2 - Biosystems KW - *Models, Biological Amino Acid Sequence Archaea/*metabolism Bacteria/*metabolism Chitin/*metabolism Computer Simulation Eukaryota/*metabolism Molecular Sequence Data Proteins/*chemistry/*metabolism Sequence Homology, Amino Acid Signal Transduction/*physiology Species Specificity L1 - internal-pdf://3735476374/Goes-Neto-2010-Comparative protein analysis of.pdf LA - eng PY - 2010 SN - 1872-8324 0303-2647 SP - 59-66 ST - Comparative protein analysis of the chitin metabolic pathway in extant organisms: a complex network approach T2 - Bio Systems TI - Comparative protein analysis of the chitin metabolic pathway in extant organisms: a complex network approach UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0303264710000675/1-s2.0-S0303264710000675-main.pdf?_tid=5bc89aae-8336-11e6-956f-00000aab0f6c&acdnat=1474818197_6c58d4d075d4f2115e78822375c7c9ff VL - 101 ID - 294 ER - TY - CONF AB - In this paper we compare the performance of KNOMA (Knowledge Mining Approach), a meta-learning approach for integration of rule-based classifiers, based on different rule inducers. Meta-learning approaches use a core learning algorithm for the generation of base classifiers that are further combined into a global one. This approach improves performance and scalability of data mining processes on large datasets. In a previous work we presented KNOMA, a meta-learning approach whose performance was evaluated using RIPPER as its core learning algorithm. Experiments have shown that the performance of KNOMA is comparable to that achieved with Bagging and Boosting. However, meta-learning is generally only sensitive to core algorithms used in the generation of base classifiers. KNOMA is a generic approach and can handle different rule-based inducers, although its advantages, drawbacks and use cases need to be precisely identified. We studied the variation of performance in the approach with base classifiers generated by two rule inducers (C45Rules and RIPPER) and also by C4.5. Interesting behaviors have been noticed in the experiments. Springer-Verlag Berlin Heidelberg 2006. AU - Enembreck, Fabricio AU - Avila, Braulio Coelho C3 - IBERAMIA-SBIA 2006 - 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium, October 23, 2006 - October 27, 2006 DA - 2006 KW - Classification (of information) data mining data structures Learning algorithms Logic programming Metadata Sensitivity analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2006 SN - 03029743 SP - 289-298 ST - Comparing meta-learning algorithms T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Comparing meta-learning algorithms VL - 4140 LNAI ID - 1627 ER - TY - CONF AB - We are developing indicators for the emergence of science and technology (ST) topics. We are targeting various ST information resources, including metadata (i.e., bibliographic information) and full text. We explore alternative text analysis approaches - principal components analysis (PCA) and topic modeling - to extract technical topic information. We analyze the topical content to pursue potential applications and innovation pathways. In this presentation we compare alternative ways of consolidating messy sets of key terms [e.g., using Natural Language Processing (NLP) on abstracts and titles, together with various keyword sets]. Our process includes combinations of stopword removal, fuzzy term matching, association rules, and tf-idf weighting. We compare PCA results to topic modeling results. Our key test set consists of 4104 Web of Science records on Dye-Sensitized Solar Cells (DSSCs). Results suggest good potential to enhance our technical intelligence payoffs from database searches on topics of interest. AU - Newman, N. C. AU - Porter, A. L. AU - Newman, D. AU - Courseault, C. AU - Bolan, S. D. C3 - 2012 Portland International Conference on Management of Engineering & Technology (PICMET), 29 July-2 Aug. 2012 DA - 2012 KW - content-based retrieval data mining meta data Principal Component Analysis scientific information systems PB - IEEE PY - 2012 SP - 1279-85 ST - Comparing methods to extract technical content for technological intelligence T3 - 2012 Portland International Conference on Management of Engineering Technology (PICMET) TI - Comparing methods to extract technical content for technological intelligence ID - 1153 ER - TY - JOUR AB - Results of a meta-analysis indicate that the variation in potency factors observed across published epidemiology studies can be substantially reconciled (especially for mesothelioma) by considering the effects of fiber size and mineral type, but that better characterization of historical exposures is needed before improved exposure metrics potentially capable of fully reconciling the disparate potency factors can be evaluated. Therefore, an approach for better characterizing historical exposures, the Modified Elutriator Method (MEM), was evaluated to determine the degree that dusts elutriated using this method adequately mimic dusts generated by processing in a factory. To evaluate this approach, elutriated dusts from Grade 3 milled fiber (the predominant feedstock used at a South Carolina [SC] textile factory) were compared to factory dust collected at the same facility. Elutriated dusts from chrysotile ore were also compared to dusts collected in Quebec mines and mills. Results indicate that despite the substantial variation within each sample set, elutriated dusts from Grade 3 fiber compare favorably to textile dusts and elutriated ore dusts compare to dusts from mines and mills. Given this performance, the MEM was also applied to address the disparity in lung cancer mortality per unit of exposure observed, respectively, among chrysotile miners/millers in Quebec and SC textile workers. Thus, dusts generated by elutriation of stockpiled chrysotile ore (representing mine exposures) and Grade 3 milled fiber (representing textile exposures) were compared. Results indicate that dusts from each sample differ from one another. Despite such variation, however, the dusts are distinct and fibers in Grade 3 dusts are significantly longer than fibers in ore dusts. Moreover, phase-contrast microscopy (PCM) structures in Grade 3 dusts are 100% asbestos and counts of PCM-sized structures are identical, whether viewed by PCM or transmission electron microscope (TEM). In contrast, a third of PCM structures in ore dusts are not asbestos and only a third that are counted by PCM are also counted by TEM. These distinctions also mirror the characteristics of the bulk materials themselves. Perhaps most important, when the differences in size distributions and PCM/TEM distinctions in these dusts are combined, the combined difference is sufficient to completely explain the difference in exposure/response observed between the textile worker and miner/miller cohorts. Importantly, however, evidence that such an explanation is valid can only be derived from a meta-analysis (risk assessment) covering a diverse range of epidemiology study environments, which is beyond the scope of the current study. The above findings suggest that elutriator-generated dusts mimic factory dusts with sufficient reliability to support comparisons between historical exposures experienced by the various cohorts studied by epidemiologists. A simulation was also conducted to evaluate the relative degree that the characteristics of dust are driven by the properties of the bulk material processed versus the nature of the mechanical forces applied. That results indicate it is the properties of bulk materials reinforces the theoretical basis justifying use of the elutriator to reconstruct historical exposures. Thus, the elutriator may be a valuable tool for reconstructing historical exposures suitable for supporting continued refinements of the risk models being developed to predict asbestos-related cancer risk.Compilation and indexing terms, Copyright 2016 Elsevier Inc. PY - 2015 SN - 20760507 SP - 194-202 ST - Comparison between fully bayesian hierarchical meta-analysis and classical meta-analysis: A Monte Carlo study based on correlation coefficient T2 - Metallurgical and Mining Industry TI - Comparison between fully bayesian hierarchical meta-analysis and classical meta-analysis: A Monte Carlo study based on correlation coefficient VL - 7 ID - 1793 ER - TY - CONF AB - Neural correlates corresponding to a specific cognitive tasks has been made possible with techniques like functional magnetic resonance imaging. The increasing number of neuroimaging studies has made meta-analysis methods popular for useful inferencing across multiple studies. The easy availability of neuroinformatic tools has also resulted in increasing the number of meta-analysis studies. We compare different meta-analysis approaches using hand-curated database (Brainmap) and automated database (neurosynth) using the case study of reward-related studies. We combine meta-analysis with atlas-based approaches to quantitatively compare different meta-analysis approaches. Based on our results, we propose further integration of different meta-analytic approaches with automated data mining methods for neuroimaging. AU - Chawla, M. AU - Miyapuram, K. P. C3 - 2015 International Joint Conference on Neural Networks (IJCNN), 12-17 July 2015 DA - 2015 DO - 10.1109/IJCNN.2015.7280434 KW - biomedical MRI medical image processing Neurophysiology PB - IEEE PY - 2015 SP - 5-pp. ST - Comparison of meta-analysis approaches for neuroimaging studies of reward processing: A case study T3 - 2015 International Joint Conference on Neural Networks (IJCNN). Proceedings TI - Comparison of meta-analysis approaches for neuroimaging studies of reward processing: A case study UR - http://dx.doi.org/10.1109/IJCNN.2015.7280434 ID - 1791 ER - TY - CONF AB - Recent technological innovations have catalyzed the generation of a massive amount of data at various levels of biological regulation, including DNA, RNA and protein. Due to the complex nature of biology, the underlying model may only be discovered by integrating different types of high-throughput data to perform a "meta-dimensional" analysis. For this study, we used simulated gene expression and genotype data to compare three methods that show potential for integrating different types of data in order to generate models that predict a given phenotype: the Analysis Tool for Heritable and Environmental Network Associations (ATHENA), Random Jungle (RJ), and Lasso. Based on our results, we applied RJ and ATHENA sequentially to a biological data set that consisted of genome-wide genotypes and gene expression levels from lymphoblastoid cell lines (LCLs) to predict cytotoxicity. The best model consisted of two SNPs and two gene expression variables with an r-squared value of 0.32. 2012 Springer-Verlag. AU - Holzinger, Emily R. AU - Dudek, Scott M. AU - Frase, Alex T. AU - Fridley, Brooke AU - Chalise, Prabhakar AU - Ritchie, Marylyn D. C3 - 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, April 11, 2012 - April 13, 2012 DA - 2012 DO - 10.1007/978-3-642-29066-4_12 KW - bioinformatics Calculations Cell culture Computer Simulation data mining Evolutionary algorithms gene expression Learning systems Neural networks RNA N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2012 SN - 03029743 SP - 134-143 ST - Comparison of methods for meta-dimensional data analysis using in silico and biological data sets T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Comparison of methods for meta-dimensional data analysis using in silico and biological data sets UR - http://dx.doi.org/10.1007/978-3-642-29066-4_12 VL - 7246 LNCS ID - 1610 ER - TY - JOUR AB - OBJECTIVE: To investigate methodological aspects in body fat (BF) measurements in AU - Jensen, N. S. O. AU - Camargo, T. F. B. AU - Bergamaschi, D. P. DA - 2016/04//undefined DO - 10.1016/j.puhe.2015.11.025 J2 - Public Health KW - Adiposity Anthropometry Body mass index Child L1 - internal-pdf://0570840516/Jensen-2016-Comparison of methods to measure b.pdf LA - eng PY - 2016 SN - 1476-5616 0033-3506 SP - 3-13 ST - Comparison of methods to measure body fat in 7-to-10-year-old children: a systematic review T2 - Public health TI - Comparison of methods to measure body fat in 7-to-10-year-old children: a systematic review UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0033350615004916/1-s2.0-S0033350615004916-main.pdf?_tid=8dac24d0-833d-11e6-acfc-00000aab0f6c&acdnat=1474821287_12a7b479ed51ed3a4c5607a345e47ee5 VL - 133 ID - 86 ER - TY - JOUR AB - Steel structures like bridges, tanks and pylons are exposed to outdoor weathering conditions. In order to prevent them from corrosion they are protected by organic coating systems. This paper focuses on modelling the deterioration of the organic coating layer that protects steel structures from corrosion. Only if there is sufficient knowledge of the condition of the coating on these structures, maintenance actions can be done in the most efficient way. Therefore the course of the deterioration of the coating system and its lifetime, which is also of importance for doing maintenance, have to be assessed accurately. In this paper, three different stochastic processes, viz. Brownian motion with non-linear drift, the non-stationary gamma process and a two-stage hit-and-grow physical process, are fitted to two real data sets. In this way we are the first who compare the three stochastic processes empirically on criteria such as goodness-of-fit, computational convenience and ease of implementation. The first data set is based on expert judgement; the second consists of inspection results. In the first case the model parameters are obtained by a least-squares approach, in the second case by the method of maximum likelihood. A meta-analysis is performed on the two-stage hit-and-grow model by means of fitting Brownian motion and gamma process to the outcomes of this model. 2006 Elsevier Ltd. All rights reserved. AU - Nicolai, Robin P. AU - Dekker, Rommert AU - van Noortwijk, Jan M. DA - 2007 DO - 10.1016/j.ress.2006.09.021 IS - 12 J2 - Reliability Engineering and System Safety KW - Computer Simulation Corrosion resistance data mining least squares approximations Organic coatings random processes Steel structures Weathering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2007 SN - 09518320 SP - 1635-1650 ST - A comparison of models for measurable deterioration: An application to coatings on steel structures T2 - ESREL 2005 TI - A comparison of models for measurable deterioration: An application to coatings on steel structures UR - http://dx.doi.org/10.1016/j.ress.2006.09.021 VL - 92 ID - 1570 ER - TY - JOUR AB - High-content screening (HCS) is increasingly used in biomedical research generating multivariate, single-cell data sets. Before scoring a treatment, the complex data sets are processed (e.g., normalized, reduced to a lower dimensionality) to help extract valuable information. However, there has been no published comparison of the performance of these methods. This study comparatively evaluates unbiased approaches to reduce dimensionality as well as to summarize cell populations. To evaluate these different data-processing strategies, the prediction accuracies and the Z' factors of control compounds of a HCS cell cycle data set were monitored. As expected, dimension reduction led to a lower degree of discrimination between control samples. A high degree of classification accuracy was achieved when the cell population was summarized on well level using percentile values. As a conclusion, the generic data analysis pipeline described here enables a systematic review of alternative strategies to analyze multiparametric results from biological systems. AU - Kummel, Anne AU - Selzer, Paul AU - Beibel, Martin AU - Gubler, Hanspeter AU - Parker, Christian N. AU - Gabriel, Daniela DA - 2011/03//undefined DO - 10.1177/1087057110395390 IS - 3 J2 - J Biomol Screen KW - *Image Interpretation, Computer-Assisted *Multivariate Analysis Automatic Data Processing/*methods/standards Cells/metabolism data mining High-Throughput Screening Assays Research Design L1 - internal-pdf://3014080503/Kummel-2011-Comparison of multivariate data an.pdf LA - eng PY - 2011 SN - 1552-454X 1087-0571 SP - 338-347 ST - Comparison of multivariate data analysis strategies for high-content screening T2 - Journal of biomolecular screening TI - Comparison of multivariate data analysis strategies for high-content screening UR - http://jbx.sagepub.com/content/16/3/338.full.pdf VL - 16 ID - 313 ER - TY - JOUR AB - BACKGROUND: After the Food and Drug Administration Modernization Act of 1997, the registration of all clinical trials became mandatory prior to publication. Our primary objective was to determine publication rates for orthopaedic trauma trials registered with ClinicalTrials.gov. We further evaluated methodological consistency between registration and publication. METHODS: We searched Clinical Trials.gov for all trials related to orthopaedic trauma. We excluded active trials and trials not completed by July 2009, and performed a systematic search for publications resulting from registered closed trials. Information regarding primary and secondary outcomes, intervention, study sponsors, and sample size were extracted from registrations and publications. RESULTS: Of 130 closed trials, 37 eligible trials resulted in 16 publications (43.2%). We found no significant differences in publication rates between funding sources for industry sponsored studies and nongovernment/nonindustry sponsored studies (p > 0.05). About half the trials (45%) did not include the NCT ID in the publication. Two (10%) publications had major changes to the primary outcome measure and ten (52.6%) to sample size. CONCLUSIONS: Registration of orthopaedic trauma trials does not consistently result in publication. When trials are registered, many do not cite NCT ID in the publication. Furthermore, changes that are not reflected in the registry of the trial are frequently made to the final publication. AU - Gandhi, Rajiv AU - Jan, Meryam AU - Smith, Holly N. AU - Mahomed, Nizar N. AU - Bhandari, Mohit DA - 2011 DO - 10.1186/1471-2474-12-278 J2 - BMC Musculoskelet Disord KW - *Clinical Trials as Topic/legislation & jurisprudence *Periodicals as Topic *Registries *United States Food and Drug Administration/legislation & jurisprudence Bibliometrics data mining Evidence-Based Medicine Humans Musculoskeletal System/*injuries Treatment Outcome United States Wounds and Injuries/*therapy L1 - internal-pdf://0213213171/Gandhi-2011-Comparison of published orthopaedi.pdf LA - eng PY - 2011 SN - 1471-2474 1471-2474 SP - 278 ST - Comparison of published orthopaedic trauma trials following registration in Clinicaltrials.gov T2 - BMC musculoskeletal disorders TI - Comparison of published orthopaedic trauma trials following registration in Clinicaltrials.gov UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3266218/pdf/1471-2474-12-278.pdf VL - 12 ID - 347 ER - TY - JOUR AB - Objective. To conduct a meta-analysis of published studies to determine if a real-time instrument can be used as a screening tool to estimate the concentrations of diesel particulate matter (DPM) in air within an underground mine workplace. The instrument chosen for review is the TSI DustTrak. The DustTrak was chosen because of the growing popularity, ease of use, and relative low cost as compared to other real-time instruments used in the underground mining industry. Determination of acceptability for DustTrak use would be based on comparison of instrument results to monitoring results from the currently accepted pump-filter air sampling methods for DPM. Methods. After a comprehensive literature search, a total of two studies meeting requirements for a meta-analysis on performance of the DustTrak were identified and used for this analysis. Results. Meta-analysis of the available DPM exposure monitoring data resulted in a Combined Pearson's Correlation Coefficient (CPCC) of 0.893 (p 0.0001) weighted by the number of samples, the non-weighted CPCC of 0.874 (p 0.0001), and a calculated R2 value for the linear regression of the combined studies of 0.797 (p 0.0001). Conclusions. The results from this meta-analysis are supportive of the DustTrak as an acceptable supplementary sampler (e.g., used to verify the adequacies of exposure controls) for providing acceptably accurate real-time concentration levels of DPM in air in an underground mining operation. Although the DustTrak correlates well with the NIOSH method, its monitoring results do consistently read higher than the NIOSH method. [All rights reserved Elsevier]. AU - Transtrum, M. J. AU - Larson, R. R. AU - Sleeth, D. K. AU - Thiese, M. S. DA - 2012/05// DO - 10.1016/j.jchas.2011.07.011 IS - 3 J2 - Journal of Chemical Health & Safety KW - air pollution measurement Correlation methods Filtration Instruments mining industry petroleum pumps Regression Analysis sampling methods PY - 2012 SN - 1871-5532 SP - 12-17 ST - Comparison of real-time and traditional monitoring methods for diesel particulate matter in underground metal mines: A meta-analysis T2 - Journal of Chemical Health & Safety TI - Comparison of real-time and traditional monitoring methods for diesel particulate matter in underground metal mines: A meta-analysis UR - http://dx.doi.org/10.1016/j.jchas.2011.07.011 VL - 19 ID - 1794 ER - TY - JOUR AB - The purpose of this study was to compare the performance of logistic regression, artificial neural networks (ANNs) and decision tree models for predicting diabetes or prediabetes using common risk factors. Participants came from two communities in Guangzhou, China; 735 patients confirmed to have diabetes or prediabetes and 752 normal controls were recruited. A standard questionnaire was administered to obtain information on demographic characteristics, family diabetes history, anthropometric measurements and lifestyle risk factors. Then we developed three predictive models using 12 input variables and one output variable from the questionnaire information; we evaluated the three models in terms of their accuracy, sensitivity and specificity. The logistic regression model achieved a classification accuracy of 76.13% with a sensitivity of 79.59% and a specificity of 72.74%. The ANN model reached a classification accuracy of 73.23% with a sensitivity of 82.18% and a specificity of 64.49%; and the decision tree (C5.0) achieved a classification accuracy of 77.87% with a sensitivity of 80.68% and specificity of 75.13%. The decision tree model (C5.0) had the best classification accuracy, followed by the logistic regression model, and the ANN gave the lowest accuracy. Copyright (C) 2012, Kaohsiung Medical University. Published by Elsevier Taiwan LLC. All rights reserved. AU - Meng, Xue-Hui AU - Huang, Yi-Xiang AU - Rao, Dong-Ping AU - Zhang, Qiu AU - Liu, Qing DA - 2013/02// DO - 10.1016/j.kjms.2012.08.016 IS - 2 PY - 2013 SN - 1607-551X SP - 93-99 ST - Comparison of three data mining models for predicting diabetes or prediabetes by risk factors T2 - Kaohsiung Journal of Medical Sciences TI - Comparison of three data mining models for predicting diabetes or prediabetes by risk factors VL - 29 ID - 1979 ER - TY - CONF AB - This paper is devoted to the comparison of different common base and ensemble classifiers for sentiment classification of reviews. It is also aimed to generate different feature sets and to observe their contribution to the classification accuracy. In detail, these feature sets are formed in an hierarchical manner, which is accomplished by first forming part-of-speech (POS) based word groups and then utilizing feature frequencies, SentiWordNet scores and their combination to obtain feature sets. In addition, several common base classifiers, namely Multinominal Naive Bayes (MNB), Support Vector Machine (SVM), Voted Perceptron (VP), K-Nearest Neighbor (k-NN), as well as common ensemble strategies, Random Forests (RFs), Stacking and Random Subspace (RSS) are each tested on the generated feature sets. Also, the Behavior-Knowledge Space (BKS) method has been derived to be applied on the set of outcomes for different algorithm and feature set combinations. Furthermore, a probability based meta-classifier technique has been tested on this set of outcomes. Finally, Information Gain (IG) feature selection technique has been applied to reduce the feature spaces. The experiments are conducted on a widely used movie review dataset and an equally common multi-domain review dataset. The results indicate that the probabilistic ensemble method generally gives comparatively better results than the other algorithms tested on the chosen datasets and that IG method can be utilized to save computational time while maintaining allowable accuracy. Springer International Publishing Switzerland 2016. AU - Aldogan, Deniz AU - Yaslan, Yusuf C3 - 30th International Symposium on Computer and Information Sciences, ISCIS 2015, September 21, 2015 - September 24, 2015 DA - 2016 DO - 10.1007/978-3-319-22635-4_33 KW - Algorithms artificial intelligence Classification (of information) data mining decision trees INFORMATION science Learning systems Nearest neighbor search Support Vector Machines Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2016 SN - 18761100 SP - 359-370 ST - A comparison study on ensemble strategies and feature sets for sentiment analysis T3 - Lecture Notes in Electrical Engineering TI - A comparison study on ensemble strategies and feature sets for sentiment analysis UR - http://dx.doi.org/10.1007/978-3-319-22635-4_33 VL - 355 ID - 1235 ER - TY - JOUR AB - The classification performance of an associative classifier is strongly dependent on the statistic measure or metric that is used to quantify the strength of the association between features and classes (i.e. confidence, correlation, etc.). Previous studies have shown that classifiers produced by different metrics may provide conflicting predictions, and that the best metric to use is data-dependent and rarely known while designing the classifier. This uncertainty concerning the optimal match between metrics and problems is a dilemma, and prevents associative classifiers to achieve their maximal performance. This dilemma is the focus of this paper. A possible solution to this dilemma is to learn the competence, expertise, or assertiveness of metrics. The basic idea is that each metric has a specific sub-domain for which it is most competent (i.e. it consistently produces more accurate classifiers than the ones produced by other metrics). Particularly, we investigate stacking-based meta-learning methods, which use the training data to find the domain of competence of each metric. The meta-classifier describes the domains of competence (or areas of expertise) of each metric, enabling a more sensible use of these metrics so that competence-conscious classifiers can be produced (i.e. a metric is only used to produce classifiers for test instances that belong to its domain of competence). We conducted a systematic and comprehensive evaluation, using different datasets and evaluation measures, of classifiers produced by different metrics. The result is that, while no metric is always superior than all others, the selection of appropriate metrics according to their competence/expertise (i.e. competence-conscious associative classifiers) seems very effective, showing gains that range from 1.2% to 26.3% when compared with the baselines (SVMs and an existing ensemble method). 2009 Wiley Periodicals, Inc. AU - Veloso, Adriano AU - Zaki, Mohammed AU - Meira, Wagner AU - Goncalves, Marcos DA - 2009 DO - 10.1002/sam.10058 IS - 5-6 J2 - Statistical Analysis and Data Mining KW - Classifiers Learning systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 19321872 SP - 361-377 ST - Competence-conscious associative classification T2 - Statistical Analysis and Data Mining TI - Competence-conscious associative classification UR - http://dx.doi.org/10.1002/sam.10058 VL - 2 ID - 1006 ER - TY - RPRT AB - Competitive adaptation refers to how adversaries such as terrorist groups and government counterterrorism agencies learn and adapt behavior based on behavior of the other. Using significant events as guides, studying the adaptation will identify and characterize how groups will evolve. For analyzing the difference in adaptations and changes, we used the Competitive Adaptation for Terrorist Networks (CATNET) data. In this paper, we analyze the differences in the adaptations between two terrorist groups by generating meta-networks in the text mining tool AutoMap and using the network analytics tool ORA . One of the groups is Al-Muhajiroun (AM) and the other terrorist group is Irish Republican Army (IRA). Al-Muhajiroun is a banned terrorist group which was based in Britain. The Irish Republican Army (IRA) was an Irish republican revolutionary organization, which came into existence in the early 20th century. We performed network text analyses to find key agents and organizations that are most closely connected to adaptation keywords in the narratives used by journalists, the public or group members to describe the terrorist groups. We demonstrate how the adaptation picture is different for sources from journalists (e.g., news articles) and sources that involve either opinions of the general public or the groups themselves (e.g., interviews and court cases). The agents and organizations that are central to adaptation for both the AM and IRA groups are discussed. Finally, we discuss how the two terrorist groups differ from each other and how the people in both groups are re-organized around adaptation concepts. AU - Sangal, A. AU - Martin, M. K. AU - Carley, K. M. CY - United States DA - 2012/08// KW - Adaptation Competition Counterterrorism Density Network analysis(Management) Nodes Organizations Terrorists N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 2012 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 38p ST - Competitive Adaptation in Terrorist Networks: Differences Between the Al-Muhajiroun and the Irish Republic Army TI - Competitive Adaptation in Terrorist Networks: Differences Between the Al-Muhajiroun and the Irish Republic Army ID - 1240 ER - TY - JOUR AB - Systematic review of principles, components, operation characteristics, and eventual failures of heading machines, continuous mines, and tunneling machines from various countries and manufacturers in use in Belgian coal mines. Plates and tables give technical data and illustrate operation and performance. AU - van Duyse, Henry DA - 1975 IS - 1 J2 - Annales des Mines de Belgique KW - COAL MINES AND MINING MINES AND MINING - Mechanization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 1975 SP - 9-105 ST - Completely Mechanized Shaft Drilling with Partial Drive Machines T2 - Annales des Mines de Belgique TI - Completely Mechanized Shaft Drilling with Partial Drive Machines ID - 524 ER - TY - JOUR AB - BACKGROUND: As the use of the Internet continues to increase across all age groups and education levels, with usage in the US around 78%, consumers are increasingly turning to the Internet for health related information. OBJECTIVE: To assess the completeness, accuracy, and consumer friendliness of information on the Internet pertaining to drug-Complementary and Alternative Medicine (CAM) interactions with cardiac drugs. METHODS: A review of online information was performed across three search engines and ten drug-CAM pairs. RESULTS: Overall, the quality of the drug-CAM interaction information available online to consumers is fairly poor. Only one site contained an interaction checker that provided interaction information for all ten pairs, but with an accuracy rate of 50%. Reading levels ranged from 10.5-23.5, with a mean of 16.7. A value greater than 22 indicates a graduate level reading skill. CONCLUSION: Web site developers should be cautious in presenting drug-CAM interaction information unless it is comprehensive and regularly maintained. Consumers should also know how to evaluate sites before trusting the content where the consequences are potentially severe. AU - Scarton, Lou Ann AU - Del Fiol, Guilherme AU - Treitler-Zeng, Qing DA - 2013 J2 - Stud Health Technol Inform KW - *Herb-Drug Interactions Consumer Health Information/*classification/statistics & numerical data Data Mining/methods Drug-Related Side Effects and Adverse Reactions/*classification Humans Internet/*statistics & numerical data Meaningful Use/*statistics & numerical data Phytotherapy/*classification Prescription Drugs/*classification Truth Disclosure LA - eng PY - 2013 SN - 0926-9630 0926-9630 SP - 841-845 ST - Completeness, accuracy, and presentation of information on interactions between prescription drugs and alternative medicines: an internet review T2 - Studies in health technology and informatics TI - Completeness, accuracy, and presentation of information on interactions between prescription drugs and alternative medicines: an internet review VL - 192 ID - 190 ER - TY - JOUR AB - Patent search is a substantial basis for many operational questions and scientometric evaluations. We consider it as a sequence of distinct stages. The patent wide search involves a definition of system boundaries by means of classifications and a keyword search producing a patent set with a high recall level (see Schmitz in Patentinformetrie: Analyse und Verdichtung von technischen Schutzrechtsinformationen, DGI, Frankfurt (Main), 2010 with an overview of searchable patent meta data). In this set of patents a patent near search takes place, producing a patent set with high(er) precision. Hence, the question arises how the researcher has to operate within this patent set to efficiently identify patents that contain paraphrased descriptions of the sought inventive elements in contextual information and whether this produces different results compared to a conventional search. We present a semiautomatic iterative method for the identification of such patents, based on semantic similarity. In order to test our method we generate an initial dataset in the course of a patent wide search. This dataset is then analyzed by means of the semiautomatic iterative method as well as by an alternative method emulating the conventional process of keyword refinement. It thus becomes obvious that both methods have their particular raison d'etre, and that the semiautomatic iterative method seems to be able to support a conventional patent search very effectively. AU - Moeller, A. AU - Moehrle, M. G. DA - 2015/01// DO - 10.1007/s11192-014-1446-9 IS - 1 J2 - Scientometrics KW - data mining Electronic publishing Iterative methods patents text analysis PY - 2015 SN - 0138-9130 SP - 77-96 ST - Completing keyword patent search with semantic patent search: introducing a semiautomatic iterative method for patent near search based on semantic similarities T2 - Scientometrics TI - Completing keyword patent search with semantic patent search: introducing a semiautomatic iterative method for patent near search based on semantic similarities UR - http://dx.doi.org/10.1007/s11192-014-1446-9 VL - 102 ID - 1218 ER - TY - JOUR AB - Obesity is a global epidemic affecting over 1.5 billion people and is one of the risk factors for several diseases such as type 2 diabetes mellitus and hypertension. We have constructed a comprehensive map of the molecules reported to be implicated in obesity. A deep curation strategy was complemented by a novel semi-automated text mining system in order to screen 1,000 full-length research articles and over 90,000 abstracts that are relevant to obesity. We obtain a scale free network of 804 nodes and 971 edges, composed of 510 proteins, 115 genes, 62 complexes, 23 RNA molecules, 83 simple molecules, 3 phenotype and 3 drugs in "bow-tie" architecture. We classify this network into 5 modules and identify new links between the recently discovered fat mass and obesity associated FTO gene with well studied examples such as insulin and leptin. We further built an automated docking pipeline to dock orlistat as well as other drugs against the 24,000 proteins in the human structural proteome to explain the therapeutics and side effects at a network level. Based upon our experiments, we propose that therapeutic effect comes through the binding of one drug with several molecules in target network, and the binding propensity is both statistically significant and different in comparison with any other part of human structural proteome. AU - Jagannadham, Jaisri AU - Jaiswal, Hitesh Kumar AU - Agrawal, Stuti AU - Rawal, Kamal DA - 2016/02/17/ DO - 10.1371/journal.pone.0146759 IS - 2 L1 - internal-pdf://1316953165/Jagannadham-2016-Comprehensive Map of Molecule.pdf PY - 2016 SN - 1932-6203 SP - e0146759 ST - Comprehensive Map of Molecules Implicated in Obesity T2 - Plos One TI - Comprehensive Map of Molecules Implicated in Obesity UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4757102/pdf/pone.0146759.pdf VL - 11 ID - 2288 ER - TY - JOUR AB - Comprehensive mapping of environmental microbiomes in terms of their compositional features remains a great challenge in understanding the microbial biosphere of the Earth. It bears promise to identify the driving forces behind the observed community patterns and whether community assembly happens deterministically. Advances in Next Generation Sequencing allow large community profiling studies, exceeding sequencing data output of conventional methods in scale by orders of magnitude. However, appropriate collection systems are still in a nascent state. We here present a database of 20,427 diverse environmental 16S rRNA profiles from 2,426 independent studies, which forms the foundation of our meta-analysis. We conducted a sample size adaptive all-against-all beta diversity comparison while also respecting phylogenetic relationships of Operational Taxonomic Units(OTUs). After conventional hierarchical clustering we systematically test for enrichment of Environmental Ontology terms and their abstractions in all possible clusters. This post-hoc algorithm provides a novel formalism that quantifies to what extend compositional and semantic similarity of microbial community samples coincide. We automatically visualize significantly enriched subclusters on a comprehensive dendrogram of microbial communities. As a result we obtain the hitherto most differentiated and comprehensive view on global patterns of microbial community diversity. We observe strong clusterability of microbial communities in ecosystems such as human/mammal-associated, geothermal, fresh water, plant-associated, soils and rhizosphere microbiomes, whereas hypersaline and anthropogenic samples are less homogeneous. Moreover, saline samples appear less cohesive in terms of compositional properties than previously reported. AU - Henschel, Andreas AU - Anwar, Muhammad Zohaib AU - Manohar, Vimitha DA - 2015/10//undefined DO - 10.1371/journal.pcbi.1004468 IS - 10 J2 - PLoS Comput Biol KW - *Ecosystem Chromosome Mapping/methods Databases, Genetic Data Mining/methods Genetic Variation/*genetics Genome, Bacterial/*genetics Metagenome/*genetics Microbiota/*genetics RNA, Ribosomal, 16S/*genetics L1 - internal-pdf://1907712995/Henschel-2015-Comprehensive Meta-analysis of O.pdf LA - eng PY - 2015 SN - 1553-7358 1553-734X SP - e1004468 ST - Comprehensive Meta-analysis of Ontology Annotated 16S rRNA Profiles Identifies Beta Diversity Clusters of Environmental Bacterial Communities T2 - PLoS computational biology TI - Comprehensive Meta-analysis of Ontology Annotated 16S rRNA Profiles Identifies Beta Diversity Clusters of Environmental Bacterial Communities UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4601763/pdf/pcbi.1004468.pdf VL - 11 ID - 41 ER - TY - JOUR AU - Phua, Clifton AU - Lee, Vincent AU - Smith, Kate AU - Gayler, Ross DA - 2010 DP - Google Scholar L1 - http://arxiv.org/pdf/1009.6119&embedded=true&embedded=true PY - 2010 ST - A comprehensive survey of data mining-based fraud detection research T2 - arXiv preprint arXiv:1009.6119 TI - A comprehensive survey of data mining-based fraud detection research UR - http://arxiv.org/abs/1009.6119 Y2 - 2016/09/24/16:09:17 ID - 2454 ER - TY - JOUR AB - Renal function is essential to maintain homeostasis. This is particularly significant for insects that undergo complete metamorphosis; larval mosquitoes must survive a freshwater habitat whereas adults are terrestrial, and mature females must maintain ion and fluid homeostasis after blood feeding. To investigate the physiological adaptations required for successful development to adulthood, we studied the Malpighian tubule transcriptome of Anopheles gambiae using Affymetrix arrays. We assessed transcription under several conditions; as third instar larvae, as adult males fed on sugar, as adult females fed on sugar, and adult females after a blood meal. In addition to providing the most detailed transcriptomic data to date on the Anopheles Malpighian tubules, the data provide unique information on the renal adaptations required for the switch from freshwater to terrestrial habitats, on gender differences, and on the contrast between nectar-feeding and haematophagy. We found clear differences associated with ontogenetic change in lifestyle, gender and diet, particularly in the neuropeptide receptors that control fluid secretion, and the water and ion transporters that impact volume and composition. These data were also combined with transcriptomics from the Drosophila melanogaster tubule, allowing meta-analysis of the genes which underpin tubule function across Diptera. To further investigate renal conservation across species we selected four D. melanogaster genes with orthologues highly enriched in the Anopheles tubules, and generated RNAi knockdown flies. Three of these genes proved essential, showing conservation of critical functions across 150 million years of phylogenetic separation. This extensive data-set is available as an online resource, MozTubules.org, and could potentially be mined for novel insecticide targets that can impact this critical organ in this pest species. (C) 2015 Elsevier Ltd. All rights reserved. AU - Overend, Gayle AU - Cabrero, Pablo AU - Halberg, Kenneth A. AU - Ranford-Cartwright, Lisa C. AU - Woods, Debra J. AU - Davies, Shireen A. AU - Dow, Julian A. T. DA - 2015/12// DO - 10.1016/j.ibmb.2015.05.007 PY - 2015 SN - 0965-1748 SP - 47-58 ST - A comprehensive transcriptomic view of renal function in the malaria vector, Anopheles gambiae T2 - Insect Biochemistry and Molecular Biology TI - A comprehensive transcriptomic view of renal function in the malaria vector, Anopheles gambiae VL - 67 ID - 1985 ER - TY - CONF AB - Distributed Data Mining (DDM) performs partial analysis of data at distributed locations and sends a summarized version to the peer sites or a central location for further analysis. Meta-learning is a technique that generates local classifiers (concepts or models) from distributed data sets to use in producing a global classifier. This inherently distributed nature of meta-learning provides much advantage in implementing practical DDM systems. Currently machine learning techniques such as supervised neural networks, decision trees, rules and genetic algorithms are used in the meta-learning process. Inspired by the cognitive representation of human memory, this paper presents a novel mechanism known as Concept-Episodic Associative Memory with a Neighborhood Effect (C-EAMwNE) to compute meta-classifiers. C-EAMwNE is an enhanced version of EAMwNE model previously developed by the authors which overcomes practical limitations of other existing cognitive representations. C-EAMwNE is applied to a multi-agent DDM system with learning agents and a central administrator agent. Learning agents use C-EAMwNE to generate meta-classifiers at distributed data sites and communicate them to the central administrator agent (CAA). CAA produces a final concept description from the distributed classifiers to be used in classification tasks. 2005 IEEE. AU - Wickramasinghe, L. K. AU - Alahakoon, L. D. AU - Smith, K. A. C3 - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, September 19, 2005 - September 22, 2005 DA - 2005 DO - 10.1109/IAT.2005.57 KW - Cognitive systems data mining Data reduction Distributed database systems Metadata Neural networks N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2005 SP - 180-186 ST - Computation of meta-learning classifiers in Distributed Data Mining using a novel cognitive memory model T3 - Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05 TI - Computation of meta-learning classifiers in Distributed Data Mining using a novel cognitive memory model UR - http://dx.doi.org/10.1109/IAT.2005.57 VL - 2005 ID - 1851 ER - TY - JOUR AB - In this paper, we categorize "semantics" into "taxonomical semantics", "syntactical semantics" and "formal semantics". We propose a declarative meta-language SCDL-NL as the foundation of a general annotation language in which "taxonomical and syntactical semantic" information of a sentence can be clearly defined. Since pure natural language is too complicated to be used as a general annotation language, the annotation language imposes some restrictions on the English grammar so that it can be easily translated into SCDL-NL to facilitate information retrieval. AU - Shu, Wang AU - Sheu, P. C. Y. DA - 2015/12// DO - 10.1142/S1793351X15500117 IS - 4 J2 - International Journal of Semantic Computing KW - data mining grammars information retrieval Internet natural language processing programming language semantics text analysis PY - 2015 SN - 1793-351X SP - 503-18 ST - Computational annotations: SCDL-NL as a structured annotation language T2 - International Journal of Semantic Computing TI - Computational annotations: SCDL-NL as a structured annotation language UR - http://dx.doi.org/10.1142/S1793351X15500117 VL - 9 ID - 988 ER - TY - JOUR AB - Starting with the earliest Streptomyces genome sequences, the promise of natural product genome mining has been captivating: genomics and bioinformatics would transform compound discovery from an ad hoc pursuit to a high-throughput endeavor. Until recently, however, genome mining has advanced natural product discovery only modestly. Here, we argue that the development of algorithms to mine the continuously increasing amounts of (meta)genomic data will enable the promise of genome mining to be realized. We review computational strategies that have been developed to identify biosynthetic gene clusters in genome sequences and predict the chemical structures of their products. We then discuss networking strategies that can systematize large volumes of genetic and chemical data and connect genomic information to metabolomic and phenotypic data. Finally, we provide a vision of what natural product discovery might look like in the future, specifically considering longstanding questions in microbial ecology regarding the roles of metabolites in interspecies interactions. AU - Medema, Marnix H. AU - Fischbach, Michael A. DA - 2015/09//undefined DO - 10.1038/nchembio.1884 IS - 9 J2 - Nat Chem Biol KW - *Metagenome Algorithms Alkaloids/biosynthesis Bacteria/*genetics/metabolism Biological Products/chemistry/*metabolism Computational Biology/instrumentation/*methods Databases, Genetic data mining Fungi/*genetics/metabolism Multigene Family Peptide Biosynthesis, Nucleic Acid-Independent Peptides/metabolism Plants/*genetics/metabolism Polyketides/metabolism Polysaccharides/biosynthesis Terpenes/metabolism LA - eng PY - 2015 SN - 1552-4469 1552-4450 SP - 639-648 ST - Computational approaches to natural product discovery T2 - Nature chemical biology TI - Computational approaches to natural product discovery VL - 11 ID - 368 ER - TY - JOUR AB - BACKGROUND: Whole genome microarray meta-analyses of 1030 kidney, heart, lung and liver allograft biopsies identified a common immune response module (CRM) of 11 genes that define acute rejection (AR) across different engrafted tissues. We evaluated if the CRM genes can provide a molecular microscope to quantify graft injury in acute rejection (AR) and predict risk of progressive interstitial fibrosis and tubular atrophy (IFTA) in histologically normal kidney biopsies. METHODS: Computational modeling was done on tissue qPCR based gene expression measurements for the 11 CRM genes in 146 independent renal allografts from 122 unique patients with AR (n = 54) and no-AR (n = 92). 24 demographically matched patients with no-AR had 6 and 24 month paired protocol biopsies; all had histologically normal 6 month biopsies, and 12 had evidence of progressive IFTA (pIFTA) on their 24 month biopsies. Results were correlated with demographic, clinical and pathology variables. RESULTS: The 11 gene qPCR based tissue CRM score (tCRM) was significantly increased in AR (5.68 +/- 0.91) when compared to STA (1.29 +/- 0.28; p < 0.001) and pIFTA (7.94 +/- 2.278 versus 2.28 +/- 0.66; p = 0.04), with greatest significance for CXCL9 and CXCL10 in AR (p <0.001) and CD6 (p<0.01), CXCL9 (p<0.05), and LCK (p<0.01) in pIFTA. tCRM was a significant independent correlate of biopsy confirmed AR (p < 0.001; AUC of 0.900; 95% CI = 0.705-903). Gene expression modeling of 6 month biopsies across 7/11 genes (CD6, INPP5D, ISG20, NKG7, PSMB9, RUNX3, and TAP1) significantly (p = 0.037) predicted the development of pIFTA at 24 months. CONCLUSIONS: Genome-wide tissue gene expression data mining has supported the development of a tCRM-qPCR based assay for evaluating graft immune inflammation. The tCRM score quantifies injury in AR and stratifies patients at increased risk of future pIFTA prior to any perturbation of graft function or histology. AU - Sigdel, Tara K. AU - Bestard, Oriol AU - Tran, Tim Q. AU - Hsieh, Szu-Chuan AU - Roedder, Silke AU - Damm, Izabella AU - Vincenti, Flavio AU - Sarwal, Minnie M. DA - 2015 DO - 10.1371/journal.pone.0138133 IS - 9 J2 - PLoS One KW - *Computer Simulation *Gene Expression Regulation *Kidney Transplantation *Models, Immunological Acute Kidney Injury/*immunology Adolescent Adult Allografts Child Female Graft Rejection/*immunology Humans Male LA - eng PY - 2015 SN - 1932-6203 1932-6203 SP - e0138133 ST - A Computational Gene Expression Score for Predicting Immune Injury in Renal Allografts T2 - PloS one TI - A Computational Gene Expression Score for Predicting Immune Injury in Renal Allografts VL - 10 ID - 77 ER - TY - JOUR AB - The aim of our study was to assess the differential gene expression of Parkinson protein 7 (PARK7) interactome in malignant pleural mesothelioma (MPM) using data mining techniques to identify novel candidate genes that may play a role in the pathogenicity of MPM. We constructed the PARK7 interactome using the ConsensusPathDB database. We then interrogated the Oncomine Cancer Microarray database using the Gordon Mesothelioma Study, for differential gene expression of the PARK7 interactome. In ConsensusPathDB, 38 protein interactors of PARK7 were identified. In the Gordon Mesothelioma Study, 34 of them were assessed out of which SUMO1, UBC3, KIAA0101, HDAC2, DAXX, RBBP4, BBS1, NONO, RBBP7, HTRA2, and STUB1 were significantly overexpressed whereas TRAF6 and MTA2 were significantly underexpressed in MPM patients (network 2). Furthermore, Kaplan-Meier analysis revealed that MPM patients with high BBS1 expression had a median overall survival of 16.5 vs. 8.7 mo of those that had low expression. For validation purposes, we performed a meta-analysis in Oncomine database in five sarcoma datasets. Eight network 2 genes (KIAA0101, HDAC2, SUMO1, RBBP4, NONO, RBBP7, HTRA2, and MTA2) were significantly differentially expressed in an array of 18 different sarcoma types. Finally, Gene Ontology annotation enrichment analysis revealed significant roles of the PARK7 interactome in NuRD, CHD, and SWI/SNF protein complexes. In conclusion, we identified 13 novel genes differentially expressed in MPM, never reported before. Among them, BBS1 emerged as a novel predictor of overall survival in MPM. Finally, we identified that PARK7 interactome is involved in novel pathways pertinent in MPM disease. AU - Vavougios, Georgios D. AU - Solenov, Evgeniy I. AU - Hatzoglou, Chrissi AU - Baturina, Galina S. AU - Katkova, Liubov E. AU - Molyvdas, Paschalis Adam AU - Gourgoulianis, Konstantinos I. AU - Zarogiannis, Sotirios G. DA - 2015/10/01/ DO - 10.1152/ajplung.00051.2015 IS - 7 J2 - Am J Physiol Lung Cell Mol Physiol KW - *Databases, Genetic *Gene Expression Regulation, Neoplastic *Intracellular Signaling Peptides and Proteins/genetics/metabolism *Mesothelioma/genetics/metabolism/mortality *Microtubule-Associated Proteins/biosynthesis/genetics *Neoplasm Proteins/genetics/metabolism *Oncogene Proteins/genetics/metabolism *Pleural Neoplasms/genetics/metabolism/mortality BBS1 Computational Biology/methods computational transcriptomics Data Mining/methods Disease-Free Survival Female Gene Regulatory Networks Humans Male malignant pleural mesothelioma NuRD PARK7 Survival Rate LA - eng PY - 2015 SN - 1522-1504 1040-0605 SP - L677-686 ST - Computational genomic analysis of PARK7 interactome reveals high BBS1 gene expression as a prognostic factor favoring survival in malignant pleural mesothelioma T2 - American journal of physiology. Lung cellular and molecular physiology TI - Computational genomic analysis of PARK7 interactome reveals high BBS1 gene expression as a prognostic factor favoring survival in malignant pleural mesothelioma VL - 309 ID - 146 ER - TY - JOUR AB - It is well-known that the conversion of normal colon epithelium to adenoma and then to carcinoma stems from acquired molecular changes in the genome. The genetic basis of colorectal cancer has been elucidated to a certain extent, and much remains to be known about the identity of specific cancer genes that are associated with the advancement of colorectal cancer from one stage to the next. Here in this study we attempted to identify novel cancer genes that could underlie the stage-specific progression and metastasis of colorectal cancer. We conducted a stage-based meta-analysis of the voluminous tumor genome-sequencing data and mined using multiple approaches for novel genes driving the progression to stage-II, stage-III and stage-IV colorectal cancer. The consensus of these driver genes seeded the construction of stage-specific networks, which were then analyzed for the centrality of genes, clustering of subnetworks, and enrichment of gene-ontology processes. Our study identified three novel driver genes as hubs for stage-II progression: DYNC1H1, GRIN2A, GRM1. Four novel driver genes were identified as hubs for stage-III progression: IGF1R, CPS1, SPTA1, DSP. Three novel driver genes were identified as hubs for stage-IV progression: GSK3B, GGT1, EIF2B5. We also identified several non-driver genes that appeared to underscore the progression of colorectal cancer. Our study yielded potential diagnostic biomarkers for colorectal cancer as well as novel stage-specific drug targets for rational intervention. Our methodology is extendable to the analysis of other types of cancer to fill the gaps in our knowledge. AU - Palaniappan, Ashok AU - Ramar, Karthick AU - Ramalingam, Satish DA - 2016/05/31/ DO - 10.1371/journal.pone.0156665 IS - 5 PY - 2016 SN - 1932-6203 SP - e0156665 ST - Computational Identification of Novel Stage-Specific Biomarkers in Colorectal Cancer Progression T2 - Plos One TI - Computational Identification of Novel Stage-Specific Biomarkers in Colorectal Cancer Progression VL - 11 ID - 1983 ER - TY - JOUR AB - OBJECTIVE: Cerebral perfusion imaging with computed tomography (CT) or magnetic resonance (MR) is widely available. The optimum perfusion values to identify tissue at risk of infarction in acute stroke are unclear. We systematically reviewed CT and MR perfusion imaging in acute ischemic stroke. METHODS: We searched for papers on MR or CT perfusion performed <24 hours after stroke that assessed perfusion thresholds, mean perfusion lesion values, or lesion volumes. We extracted definitions and perfusion values. We compared definitions and evaluated perfusion thresholds for "nonviable"/"at risk" and "at risk"/"not at risk tissue" thresholds. RESULTS: Among 7,152 papers, 69 met inclusion criteria for analysis of definitions (49 MR and 20 CT), 21 MR (n = 551), and 10 CT (n = 266) papers, median sample size 22, provided thresholds. We found multiple definitions for tissue states, eg, tissue at risk, 18; nonviable tissue, 12; 16, no definition. Perfusion parameters varied widely; eg, 9 different MR, 6 different CT parameters for the "at risk"/"not at risk threshold." Median threshold values varied up to 4-fold, eg, for the "at risk"/"not at risk threshold," median cerebral blood flow ranged from 18 to 37ml/100g/min; mean transit time from 1.8 to 8.3 seconds relative to the contralateral side. The influence of reperfusion and duration of ischemia could not be assessed. INTERPRETATION: CT and MR perfusion imaging viability thresholds in stroke are derived from small numbers of patients, variable perfusion analysis methods and definitions of tissue states. Greater consistency of methods would help determine reliable perfusion viability values for wider clinical use of perfusion imaging. AU - Dani, Krishna A. AU - Thomas, Ralph G. R. AU - Chappell, Francesca M. AU - Shuler, Kirsten AU - MacLeod, Mary J. AU - Muir, Keith W. AU - Wardlaw, Joanna M. DA - 2011/09//undefined DO - 10.1002/ana.22500 IS - 3 J2 - Ann Neurol KW - Brain Ischemia/complications/*pathology/radiography Brain/pathology Cerebral Infarction/pathology/radiography Cerebrovascular Circulation/physiology Data Interpretation, Statistical data mining Humans Magnetic Resonance Imaging Perfusion Research Design Risk Assessment Stroke/etiology/*pathology/radiography Tomography, X-Ray Computed L1 - internal-pdf://4130428730/Dani-2011-Computed tomography and magnetic res.pdf LA - eng PY - 2011 SN - 1531-8249 0364-5134 SP - 384-401 ST - Computed tomography and magnetic resonance perfusion imaging in ischemic stroke: definitions and thresholds T2 - Annals of neurology TI - Computed tomography and magnetic resonance perfusion imaging in ischemic stroke: definitions and thresholds UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/ana.22500/asset/22500_ftp.pdf?v=1&t=itiree5p&s=43b72f8465c795bd29bae02fd4b88b530e481fc3 VL - 70 ID - 230 ER - TY - CHAP AB - Background Background Diabetes is one of the commonest chronic medical conditions, affecting around 347 million adults worldwide. Structured patient education programmes reduce the risk of diabetes-related complications four-fold. Internet-based self-management programmes have been shown to be effective for a number of long-term conditions, but it is unclear what are the essential or effective components of such programmes. If computer-based self-management interventions improve outcomes in type 2 diabetes, they could potentially provide a cost-effective option for reducing the burdens placed on patients and healthcare systems by this long-term condition. Objectives Objectives To assess the effects on health status and health-related quality of life of computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus. Search methods Search methods We searched six electronic bibliographic databases for published articles and conference proceedings and three online databases for theses (all up to November 2011). Reference lists of relevant reports and reviews were also screened. Selection criteria Selection criteria Randomised controlled trials of computer-based self-management interventions for adults with type 2 diabetes, i.e. computer-based software applications that respond to user input and aim to generate tailored content to improve one or more self-management domains through feedback, tailored advice, reinforcement and rewards, patient decision support, goal setting or reminders. Data collection and analysis Data collection and analysis Two review authors independently screened the abstracts and extracted data. A taxonomy for behaviour change techniques was used to describe the active ingredients of the intervention. Main results Main results We identified 16 randomised controlled trials with 3578 participants that fitted our inclusion criteria. These studies included a wide spectrum of interventions covering clinic-based brief interventions, Internet-based interventions that could be used from home and mobile phone-based interventions. The mean age of participants was between 46 to 67 years old and mean time since diagnosis was 6 to 13 years. The duration of the interventions varied between 1 to 12 months. There were three reported deaths out of 3578 participants. Computer-based diabetes self-management interventions currently have limited effectiveness. They appear to have small benefits on glycaemic control (pooled effect on glycosylated haemoglobin A1c (HbA1c): -2.3 mmol/mol or -0.2% (95% confidence interval (CI) -0.4 to -0.1; P = 0.009; 2637 participants; 11 trials). The effect size on HbA1c was larger in the mobile phone subgroup (subgroup analysis: mean difference in HbA1c -5.5 mmol/mol or -0.5% (95% CI -0.7 to -0.3); P < 0.00001; 280 participants; three trials). Current interventions do not show adequate evidence for improving depression, health-related quality of life or weight. Four (out of 10) interventions showed beneficial effects on lipid profile. One participant withdrew because of anxiety but there were no other documented adverse effects. Two studies provided limited cost-effectiveness data - with one study suggesting costs per patient of less than $140 (in 1997) or 105 EURO and another study showed no change in health behaviour and resource utilisation. Authors' conclusions Authors' conclusions Computer-based diabetes self-management interventions to manage type 2 diabetes appear to have a small beneficial effect on blood glucose control and the effect was larger in the mobile phone subgroup. There is no evidence to show benefits in other biological outcomes or any cognitive, behavioural or emotional outcomes. AU - Pal, Kingshuk AU - Eastwood, Sophie V. AU - Michie, Susan AU - Farmer, Andrew J. AU - Barnard, Maria L. AU - Peacock, Richard AU - Wood, Bindie AU - Inniss, Joni D. AU - Murray, Elizabeth DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD008776.pub2/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2013 ST - Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus T2 - Cochrane Database of Systematic Reviews TI - Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD008776.pub2/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD008776.pub2/full Y2 - 2016/09/18/20:15:38 ID - 418 ER - TY - CONF AB - In daily life, people spend a lot of time in group activities, such as communication, debate, collaboration and consensus achieving for problem solving where creative ideas are expected to be generated by active interaction and stimulation between participants. In this paper, we focus on exploring effective computerized support for group argumentation, mainly on group brainstorming for idea generation. Versatile aids are explored, such as visualization of expert opinion structure, text-mining of external information, clustering of contributed opinions and various analysis about participation, etc. and integrated into a group argumentation environment (GAE), to support the emergence of a ba for knowledge creation. We apply such an enviornment to top-level small-scale academic conferences (Xiangshan Science Conference) on frontiers of science and technology in China. Springer-Verlag Berlin Heidelberg 2005. AU - Tang, Xijin AU - Liu, Yijun AU - Zhang, Wen C3 - 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, September 14, 2005 - September 16, 2005 DA - 2005 KW - Computational methods Computer control systems data mining information retrieval knowledge engineering Problem solving Process control N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2005 SN - 03029743 SP - 437-443 ST - Computerized support for idea generation during knowledge creating process T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Computerized support for idea generation during knowledge creating process VL - 3684 LNAI ID - 1576 ER - TY - CONF AB - This paper presents an approach for image annotation propagation to images which have no annotations. In some specific domains, the assumption that visual similarity implies (partial) semantic similarity can be made. For instance, in medical imaging, two images of the same anatomic part in a given modality have a very similar appearance. In the proposed approach, a conceptual indexing phase extracts concepts from texts; a visual similarity between images is computed and then combined with conceptual text indexing. Annotation propagation driven by prior knowledge on the domain is finally performed. Domain knowledge used is a meta-thesaurus for both indexing and annotations propagation. The proposed approach has been applied on the imageCLEF medical image collection. AU - Chevallet, J. P. AU - Maillot, N. AU - Joo-Hwee, Lim C3 - Information Retrieval Technology. Third Asia Information Retrieval Symposium, AIRS 2006. Proceedings, 16-18 Oct. 2006 DA - 2006 KW - indexing information retrieval medical image processing text analysis thesauri PB - Springer-Verlag PY - 2006 SP - 514-21 ST - Concept propagation based on visual similarity: application to medical image annotation T3 - Information Retrieval Technology. Third Asia Information Retrieval Symposium, AIRS 2006. Proceedings (Lecture Notes in Computer Science Vol. 4182) TI - Concept propagation based on visual similarity: application to medical image annotation ID - 843 ER - TY - CONF AB - The problem of detecting terms that can be interesting to the advertiser is considered. If a company has already bought some advertising terms which describe certain services, it is reasonable to find out the terms bought by competing companies. On the other hand, the company, that provides context advertisement, wants to discover prospective markets, the advertisers. It can be done by means of so-called biclustering. For binary relation firms terms the most natural bicluster definition is a tuple of two subsets of firms and terms respectively, where each firm from the first component buys each term from the second one. To solve this task there is a well-developed notion of formal concept which has almost equivalent definition to such a bicluster in terms of object-attribute tables in Formal Concept Analysis. However, the number of formal concepts (biclusters) for a given dataset can be of exponential size in the worst case. To avoid this difficulty we proposed a new concept-based biclustering method. The new bicluster definition, (dense) object-attribute bicluster or simply oa-bicluster, is a relaxation of formal concept notion. Our findings shows that the number of (dense) oa-biclusters is no greater than the number of non-empty cells of initial binary relation. The paper contains experimental results on applying the proposed algorithm to contextual Internet advertisement data in comparison with some FCA algorithms and additional results on so-called morphological metarules for term recommendation task on the same data. 2012 IEEE. AU - Ignatov, Dmitry I. AU - Kuznetsov, Sergei O. AU - Poelmans, Jonas C3 - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012, December 10, 2012 - December 10, 2012 DA - 2012 DO - 10.1109/icdmw.2012.100 KW - Algorithms data mining Formal concept analysis Industry Internet Marketing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 123-130 ST - Concept-based biclustering for internet advertisement T3 - Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012 TI - Concept-based biclustering for internet advertisement UR - http://dx.doi.org/10.1109/icdmw.2012.100 ID - 1251 ER - TY - CONF AB - Conceptual modeling of a system consists of giving a structured form of information in a way it captures, as much as possible, the semantics of real word objects. The most popular conceptual model for designing operational databases is the Entity-Relationship (ER) model. This model has evolved into models for designing object-oriented system in general. However, despite some formalization attempts, most conceptual techniques remain rather informal. Our aim in this paper is to provide a formal algebraic methodology for conceptual modeling. In the paper we apply our methodology to ER-model but we claim that it is applicable for object modeling with a slight modification. We believe that our approach can help designers in schema validation. Springer-Verlag Berlin Heidelberg 2001. AU - Lellahi, Kazem C3 - 4th International Andrei Ershov Memorial Conference on Perspectives of System Informatics, PSI 2001, July 2, 2001 - July 6, 2001 DA - 2001 KW - Algebra data mining INFORMATION science Semantics Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2001 SN - 03029743 SP - 336-348 ST - Conceptual data modeling: An algebraic viewpoint T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Conceptual data modeling: An algebraic viewpoint VL - 2244 ID - 1142 ER - TY - CONF AB - One of the most significant challenges in information system design is the constant and increasing need to establish interoperability between heterogeneous software systems at increasing scale. The automated translation of data between the data models and languages used by information ecosystems built around official or de facto standards is best addressed using model-driven engineering techniques, but requires handling both data and multiple levels of metadata within a single model. Standard modelling approaches are generally not built for this, compromising modelling outcomes. We establish the SLICER conceptual framework built on multilevel modelling principles and the differentiation of basic semantic relations that dynamically structure the model and can capture existing multilevel notions. Moreover, it provides a natural propagation of constraints over multiple levels of instantiation. Springer International Publishing Switzerland 2015. AU - Selway, Matt AU - Stumptner, Markus AU - Mayer, Wolfgang AU - Jordan, Andreas AU - Grossmann, Georg AU - Schrefl, Michael C3 - 34th International Conference on Conceptual Modeling, ER 2015, October 19, 2015 - October 22, 2015 DA - 2015 DO - 10.1007/978-3-319-25264-3_21 KW - data handling data mining ecology Ecosystems Interoperability Semantics Standards Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 287-301 ST - A conceptual framework for large-scale ecosystem interoperability T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - A conceptual framework for large-scale ecosystem interoperability UR - http://dx.doi.org/10.1007/978-3-319-25264-3_21 VL - 9381 ID - 1086 ER - TY - JOUR AB - The increasing availability of geo-referenced data has increased the need to enrich OLAP with spatial analysis, leading to the concept of Spatial OLAP (SOLAP). The conceptual modelling of spatial data cubes requires the definition of two kinds of metadata: (i) warehouse metadata that model data structures that maintain integrated data from multiple data sources and (ii) aggregation11In this paper, the term aggregation does not refer to UML aggregation associations. In the text of our article, aggregation is used in the sense of calculating a result (as in the field of databases) - the terms aggregation level and aggregating relationship refer to OLAP aggregations. metadata that specify how the warehoused data should be aggregated to meet the analysis goals of decision makers.In this paper we provide a review of existing conceptual spatial data cube models. We highlight some limits of these models concerning the aggregation model design, and their implementation in existing CASE tools and SOLAP architectures.Firstly, we propose a new UML (Unified Modeling Language) profile for modelling complex Spatial Data Warehouses and aggregations. Our profile is implemented in the MagicDraw CASE tool.Secondly, we propose a tool for the automatic implementation of conceptual spatial data cube models, designed using our profile, in a SOLAP architecture. In particular, our solution allows: (i) generating different logical representations of the SDW (Spatial Data Warehouse) model (star schema and snow-flake schema) and (ii) implementing complex SOLAP analysis indicators using MDX (MultiDimensional eXpressions language). [All rights reserved Elsevier]. AU - Boulil, K. AU - Bimonte, S. AU - Pinet, F. DA - 2015/02// DO - 10.1016/j.csi.2014.06.004 J2 - Computer Standards & Interfaces KW - data mining data structures Data warehouses Geographic information systems meta data Unified Modeling Language L1 - internal-pdf://1858721860/Boulil-2015-Conceptual model for spatial data.pdf PY - 2015 SN - 0920-5489 SP - 113-32 ST - Conceptual model for spatial data cubes: A UML profile and its automatic implementation T2 - Computer Standards & Interfaces TI - Conceptual model for spatial data cubes: A UML profile and its automatic implementation UR - http://dx.doi.org/10.1016/j.csi.2014.06.004 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0920548914000774/1-s2.0-S0920548914000774-main.pdf?_tid=85a7f886-832e-11e6-a32a-00000aab0f02&acdnat=1474814831_e9729be5729f31d1e7a9ab833563f000 VL - 38 ID - 1088 ER - TY - CONF AB - In this paper we propose a new approach for the development of Fuzzy Object Oriented Database (FOOD) model. Real world database application requires users to specify their need to represent, store and manipulate imprecise, uncertain, and vague information in a natural language like English. In recent past a lot of fuzzy object oriented database modelling have been evolved by various researchers. The model proposed in this paper consists of three phases. In the first phase, a fuzzy natural language requirement specification language (FRSL) is designed to represent user requirements. In the second phase, FRSL is translated into a Fuzzy Object Oriented Conceptual model composed of Fuzzy Nested Entity Relationship (FNER) diagrams Fuzzy Update Protocol Model expressions (FUPM). Finally, a FOOD Model implements the FNER diagrams and FUPM expressions. AU - Goswami, A. AU - Panigrahi, Prabin Kumar C3 - 3rd International Conference on Enterprise Information Systems, ICEIS 2001, July 7, 2001 - July 10, 2001 DA - 2001 KW - Computational linguistics data mining Information systems Knowledge based systems object-oriented databases Object oriented programming Specification languages Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - ICEIS Press PY - 2001 SP - 287-292 ST - Conceptual modeling of fuzzy object-oriented database systems T3 - ICEIS 2001 - Proceedings of the 3rd International Conference on Enterprise Information Systems TI - Conceptual modeling of fuzzy object-oriented database systems VL - 1 ID - 979 ER - TY - CONF AB - The proceedings contain 721 papers. The topics discussed include: empowering smart cities through interoperable sensor network enablers; marine environment monitoring using wireless sensor networks: a systematic review; node centrality awareness VIa swarming effects; tags and their reputation in demographic donor- recipient game; towards modeling affect and emotions in autonomous agents with recurrent fuzzy systems; is the El farol more efficient when cognitive rational agents have a larger memory size?; policy evaluation and analysis of choosing whom to tweet information on social media; iris categorization with texton representation; disease-medicine topic model for prescription record mining; and global optimization with derivative-free, derivative-based and evolutionary algorithms. C3 - 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014, October 5, 2014 - October 8, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2014 SN - 1062922X ST - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics TI - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics VL - 2014-January ID - 492 ER - TY - CONF AB - The term DOISm (Diabetes, Obesity, Inflammation and metabolic Syndrome) describes a confluence of comorbidities specifying these disease phenotypes. Recent studies using genome-wide association analysis have identified genes and variations that correlate human phenotype within phenotype prediction programs. Benefiting from such post-genomics outcomes, we catalogued genes that have been associated with each of the four conditions before searching for confluence of any two or three conditions, and the confluence of genes concomitantly involved in all phenotypes. Bioinformatics analyses were performed using multi-relational data mining techniques to cover sequence, structure and functional/clinical features.We used high-confidence predictions for gene functional classification analyses for better phenotyping DOISm confluence. Our curated panel of 1439 DOISm genes and a subset of 217 confluent genes represents a platform to assist in dissecting complex nutritional phenotypes. Our repertoire of human genes likely to be involved in DOISm is an attempt to guide further subtyping of complex phenotypes. Springer International Publishing Switzerland 2016. AU - Bezerra, Ana Paula Moreira AU - Silva-Santiago, Samara Cardoso AU - Da Silva, Jose Francisco Diogo AU - Penha, Emanuel Diego S. AU - Silveira, Monalisa M. AU - Ramos, Myrna S. AU - Silva, Monica M. AU - Pacheco, Ana Carolina L. AU - Oliveira, Diana Magalhaes C3 - 4th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2016, April 20, 2016 - April 22, 2016 DA - 2016 DO - 10.1007/978-3-319-31744-1_3 KW - bioinformatics Biomedical engineering Computer aided diagnosis data mining Dissection Genes Medical problems Metabolism Nutrition Pathology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2016 SN - 03029743 SP - 22-37 ST - Confluence of genes related to the combined etiology DOISm (Diabetes, obesity, inflammation and metabolic syndrome) in dissecting nutritional phenotypes T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Confluence of genes related to the combined etiology DOISm (Diabetes, obesity, inflammation and metabolic syndrome) in dissecting nutritional phenotypes UR - http://dx.doi.org/10.1007/978-3-319-31744-1_3 VL - 9656 ID - 1612 ER - TY - CONF AB - Process Mining techniques require event logs which, in many cases, are obtained from databases. Obtaining these event logs is not a trivial task and requires substantial domain knowledge. In addition, the result is a single view on the database in the form of a specific event log. If we desire to change our view, e.g. to focus on another business process, and generate another event log, it is necessary to go back to the source of data. This paper proposes a meta model to integrate both process and data perspectives, relating one to the other and allowing to generate different views from it at any moment in a highly flexible way. This approach decouples the data extraction from the application of analysis techniques, enabling its use in different contexts. Springer International Publishing Switzerland 2016. AU - Gonzalez Lopez De Murillas, E. AU - Reijers, Hajo A. AU - Van Der Aalst, Wil M. P. C3 - 17th International Conference on Business Process Modeling, Development and Support, BPMDS 2016 and 21st International Conference on Exploring Modeling Methods for Systems Analysis and Design, EMMSAD 2016 held at Conference on Advanced Information Systems Engineering, CAiSE 2016, June 13, 2016 - June 14, 2016 DA - 2016 DO - 10.1007/978-3-319-39429-9_15 KW - Database systems data mining Design Extraction Information systems Management information systems Systems analysis Systems engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2016 SN - 18651348 SP - 231-249 ST - Connecting databases with process mining: A meta model and toolset T3 - Lecture Notes in Business Information Processing TI - Connecting databases with process mining: A meta model and toolset UR - http://dx.doi.org/10.1007/978-3-319-39429-9_15 VL - 248 ID - 1699 ER - TY - CONF AB - We present a supervised machine learning system capable of matching internet devices to web cookies through filtering, feature engineering, binary classification, and post processing. The system builds a reasonably sized training and testing data set through filtering and feature engineering. We build 415 features in total. Some of these features were engineered to be O(n) time, stand alone classifiers for this problem. Other features use various natural language processing (NLP) techniques. Meta features are created by ridge regression and Adaboost. Then binary classification through two different gradient boosting (XGBoost with logarithmic loss) models is performed. A post processing pipeline connects devices and cookies in a way that maximizes F0.5score. Our machine learning system obtained a private F0.5score of 0.849562 for a final rank of 12th/340 on the ICDM 2015: Drawbridge Cross-Device Connections challenge. 2015 IEEE. AU - Kim, Michael Sungjun AU - Liu, Jiwei AU - Wang, Xiaozhou AU - Yang, Wei C3 - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015, November 14, 2015 - November 17, 2015 DA - 2015 DO - 10.1109/ICDMW.2015.236 KW - Adaptive boosting artificial intelligence Bins Bridges Classification (of information) data mining Engineering education Filtration Learning algorithms Learning systems Natural language processing systems Pipeline processing systems Regression Analysis Statistical tests Supervised learning N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 1690-1694 ST - Connecting Devices to Cookies via Filtering, Feature Engineering, and Boosting T3 - Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 TI - Connecting Devices to Cookies via Filtering, Feature Engineering, and Boosting UR - http://dx.doi.org/10.1109/ICDMW.2015.236 ID - 1093 ER - TY - CHAP A2 - Klein, J. C. V. A2 - Schram, F. R. AB - Species richness and endemism are significant features of biodiversity, so taxonomic reviews can change the basis of biodiversity conservation issues. A recent review of the Tasmanian endemic freshwater crayfish genus Parastacoides has identified 14 species, rather than the single species (consisting of three sub-species) previously recognized. Most of the range of Parastacoides lies within the WHA (Western Tasmania World Heritage Area), and since the previous sub-species had widespread distributions, they were thought to be well-protected. However, several of the newly recognized species lie outside the protected area, and some have very restricted distributions. This raises new conservation issues, as these species may be vulnerable to man made threats such as forestry, mining and hydro-electric power development. The issues extend beyond the conservation of Parastacoides species themselves, since some of them are keystone species in their effects on soils and the provision of habitat for other invertebrates. AU - Hansen, B. AU - Richardson, A. M. M. PY - 2000 SN - 90-5410-478-3 SP - 799-805 ST - Conservation implications arising from a systematic review of the Tasmanian freshwater crayfish genus Parastacoides (Decapoda : Parastacidae) T2 - Biodiversity Crisis and Crustacea TI - Conservation implications arising from a systematic review of the Tasmanian freshwater crayfish genus Parastacoides (Decapoda : Parastacidae) VL - 12 ID - 2230 ER - TY - JOUR AB - In the Mediterranean area, surface waters often have low discharge or renewal rates, hence metal contamination from industrialised catchments can have a high negative impact on the physico-chemical and biological water quality. In a context of climate and anthropological changes, it is necessary to provide an integrative approach for the prevention and control of metal pollution, in order to limit its impact on water resources, biodiversity, trophic network and human health. For this purpose, introduction of constructed wetlands (CWs) between natural aquatic ecosystems and industrialised zones or catchments is a promising strategy for eco-remediation. Analysis of the literature has shown that further research must be done to improve CW design, selection and management of wetland plant species and catchment organisation, in order to ensure the effectiveness of CWs in Mediterranean environments. Firstly, the parameters of basin design that have the greatest influence on metal removal processes must be identified, in order to better focus rhizospheric processes on specific purification objectives. We have summarised in a single diagram the relationships between the design parameters of a CW basin and the physico-chemical and biological processes of metal removal, on the basis of 21 mutually consistent papers. Secondly, in order to optimise the selection and distribution of helophytes in CWs, it is necessary to identify criteria of choice for the plant species that will best fit the remediation objectives and environmental and economic constraints. We have analysed the factors determining plant metal uptake efficiency in CWs on the basis of a qualitative meta-analysis of 13 studies with a view to determine whether the part played by metal uptake by plants is relevant in comparison with the other removal processes. Thirdly, we analysed the parameters to consider for establishing suitable management strategies for CWs and how they affect the whole CW design process. Finally, we propose monitoring and policy measures to facilitate the integration of CWs within Mediterranean industrialised catchments. (C) 2013 Elsevier Ltd. All rights reserved. AU - Guittonny-Philippe, Anna AU - Masotti, Veronique AU - Hoehener, Patrick AU - Boudenne, Jean-Luc AU - Viglione, Julien AU - Laffont-Schwob, Isabelle DA - 2014/03// DO - 10.1016/j.envint.2013.11.016 L1 - internal-pdf://2419795734/Guittonny-Phili-2014-Constructed wetlands to r.pdf PY - 2014 SN - 0160-4120 SP - 1-16 ST - Constructed wetlands to reduce metal pollution from industrial catchments in aquatic Mediterranean ecosystems: A review to overcome obstacles and suggest potential solutions T2 - Environment International TI - Constructed wetlands to reduce metal pollution from industrial catchments in aquatic Mediterranean ecosystems: A review to overcome obstacles and suggest potential solutions UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0160412013002766/1-s2.0-S0160412013002766-main.pdf?_tid=f2807bba-8336-11e6-a121-00000aab0f6b&acdnat=1474818450_622f43034b8a417691e1a27b2d4e33bf VL - 64 ID - 1976 ER - TY - CONF AB - Rapid advancing information technology (IT) has significantly improved the efficiency and effectiveness of capturing consumers' concerns of a product and increased the importance of its role in new product development (NPD). To ride on this trend, this work proposes an approach that aims at establishing an axiomatic product conceptualization system (APCS) to meet the demand of consumer-oriented product concept development. The proposed prototype APCS comprises three modules, namely, knowledge elicitation module using laddering technique; knowledge representation module using design knowledge hierarchy (DKH); and knowledge synthesis module using restricted Coulomb energy (RCE) neural network. Accordingly, this system offers a method of making design decisions via a web-based data mining product conceptualization approach. A case study on golf wood club design is used for system illustration. Springer-Verlag London 2013. AU - Chen, Chun-Hsien AU - Yan, Wei AU - Chen, Nai-Feng C3 - 19th ISPE International Conference on Concurrent Engineering, CE 2012, September 3, 2012 - September 7, 2012 DA - 2013 DO - 10.1007/978-1-4471-4426-7-80 KW - Concurrent engineering data mining Information technology Knowledge management knowledge representation Product development Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer-Verlag London Ltd PY - 2013 SN - 18655440 SP - 945-956 ST - Consumer-oriented product conceptualization via a web-based data mining approach T3 - Advanced Concurrent Engineering TI - Consumer-oriented product conceptualization via a web-based data mining approach UR - http://dx.doi.org/10.1007/978-1-4471-4426-7-80 ID - 1574 ER - TY - JOUR AB - Biodiversity of marine ecosystems is integral to their stability and function and is threatened by anthropogenic processes. We conducted a literature review and meta-analysis of 216 studies to understand the effects of common contaminants upon diversity in various marine communities. The most common diversity measures were species richness, the Shannon-Wiener index (H') and Pielou evenness (J). Largest effect sizes were observed for species richness, which tended to be the most sensitive index. Pollution was associated with marine communities containing fewer species or taxa than their pristine counterparts. Marine habitats did not vary in their susceptibility to contamination, rather a similar to 40% reduction in richness occurred across all habitats. No class of contaminant was associated with significantly greater impacts on diversity than any other. Survey studies identified larger effects than laboratory or field experiments. Anthropogenic contamination is strongly associated with reductions in the species richness and evenness of marine habitats. (C) 2009 Elsevier Ltd. All rights reserved. AU - Johnston, Emma L. AU - Roberts, David A. DA - 2009/06// DO - 10.1016/j.envpol.2009.02.017 IS - 6 L1 - internal-pdf://4167915748/Johnston-2009-Contaminants reduce the richness.pdf PY - 2009 SN - 0269-7491 SP - 1745-1752 ST - Contaminants reduce the richness and evenness of marine communities: A review and meta-analysis T2 - Environmental Pollution TI - Contaminants reduce the richness and evenness of marine communities: A review and meta-analysis UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0269749109000839/1-s2.0-S0269749109000839-main.pdf?_tid=c60680be-833d-11e6-8dd0-00000aacb35f&acdnat=1474821382_a2b3b3c9ca557d8a1bee457b74cd05be VL - 157 ID - 1908 ER - TY - JOUR AB - The computer aided design (CAD) document provides an effective communication medium, a legal contract document, and a reusable design case for a construction project. Due to technological advancements in CAD industry, the volume of CAD documents has been increased dramatically in the database of construction organizations. Traditional retrieval methods relied on textual naming and indexing schemes that require the designers (engineers and architects) to memorize in details the meta-information used to characterize the drawings. Such approaches easily overwhelmed the users' memory capability and thus caused low reusability of CAD documents. In this paper, a content-based text mining technique is adopted to extract the textual content of a CAD document into a characteristic document (CD), which can be retrieved with similarity matching using a Vector Space Model (VSM), so that the automated and expedited retrievals of CAD documents from vast CAD databases become possible. A prototype system, namely Content-based CAD document Retrieval System (CCRS), is developed to implement the proposed method. After preliminary testing with a CAD database with 2094 Chinese annotated CAD drawings collected from two real-world construction projects and a public engineering drawing database, the proposed CCRS is proven to retrieve all relevant CAD documents with relatively high precision when appropriate query is specified. Finally, three search strategies are recommended for the users to narrow down search scope while a target CAD document is desired. It is concluded that the proposed content-based text mining approach provides a promising solution to improve the current difficulty encountered in retrieval and reusability of vast CAD documents for the construction industry. [All rights reserved Elsevier]. AU - Wen-der, Yu AU - Jia-yang, Hsu DA - 2013/05// DO - 10.1016/j.autcon.2012.11.037 J2 - Automation in Construction KW - CAD construction industry content-based retrieval Contracts Database management systems data mining document image processing Pattern matching text analysis Vectors PY - 2013 SN - 0926-5805 SP - 65-74 ST - Content-based text mining technique for retrieval of CAD documents T2 - Automation in Construction TI - Content-based text mining technique for retrieval of CAD documents UR - http://dx.doi.org/10.1016/j.autcon.2012.11.037 VL - 31 ID - 1372 ER - TY - CONF AB - Web pages are usually designed in a presentation oriented fashion, having therefore a large amount of noninformative data such as navigation banners, advertisement and functional text. For a particular user, only informative data such as title, main content, and representative images are considered useful. Existing methods for title extraction rely on the structural and visual features of the web page. In this paper, we propose a simpler, but more effective method by analysing the content of the title and meta tags in respect to the main body of the page. We segment the title and meta tags using a set of predefined delimiters and score the segments using three criteria: placement in tag, popularity within all header tags in the page, and the position in the link of the web page. The method is fully automated, template independent, and not limited to any certain type of web pages. Experimental results show that the method significantly improves the accuracy (average similarity to the ground truth title) from 62 % to 84 %. Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. AU - Gali, Najlah AU - Franti, Pasi C3 - 12th International Conference on Web Information Systems and Technologies, WEBIST 2016, April 23, 2016 - April 25, 2016 DA - 2016 KW - data mining information retrieval Information systems Websites World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SciTePress PY - 2016 SP - 204-210 ST - Content-based title extraction from Web page T3 - WEBIST 2016 - Proceedings of the 12th International Conference on Web Information Systems and Technologies TI - Content-based title extraction from Web page VL - 2 ID - 827 ER - TY - JOUR AB - Modeling user behavior (user modeling) via data mining faces a critical unresolved issue: how to build a collaboration model based on frequent analysis of students in order to ascertain whether collaboration has taken place. Numerous human-based and knowledge-based solutions to this problem have been proposed, but they are time-consuming or domain-dependent. The diversity of these solutions and their lack of common characteristics are an indication of how unresolved this issue remains. Bearing this in mind, our research has made progress on several fronts. First, we have found supportive evidence, based on a collaborative learning experience with hundreds of students over three consecutive years, that an approach using domain independent learning that is transferable to current e-learning platforms helps both students and teachers to manage student collaboration better. Second, the approach draws on a domain-independent modeling method of collaborative learning based on data mining that helps clarify which user-modeling issues are to be considered. We propose two data mining methods that were found to be useful for evaluating student collaboration, and discuss their respective advantages and disadvantages. Three data sources to generate and evaluate the collaboration model were identified. Third, the features being modeled were made accessible to students in several meta-cognitive tools. Their usage of these tools showed that the best approach to encourage student collaboration is to show only the most relevant inferred information, simply displayed. Moreover, these tools also provide teachers with valuable modeling information to improve their management of the collaboration. Fourth, an ontology, domain independent features and a process that can be applied to current e-learning platforms make the approach transferable and reusable. Fifth, several open research issues of particular interest were identified. We intend to address these open issues through research in the near future. 2011 Springer Science+Business Media B.V. AU - Anaya, Antonio R. AU - Boticario, Jesus G. DA - 2011 DO - 10.1007/s11257-010-9095-z IS - 1-2 J2 - User Modeling and User-Adapted Interaction KW - Behavioral research data mining E-learning Knowledge based systems ontology Research Students L1 - internal-pdf://2550207934/Anaya-2011-Content-free collaborative learning.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 09241868 SP - 181-216 ST - Content-free collaborative learning modeling using data mining T2 - User Modeling and User-Adapted Interaction TI - Content-free collaborative learning modeling using data mining UR - http://dx.doi.org/10.1007/s11257-010-9095-z VL - 21 ID - 1761 ER - TY - JOUR AB - The Right To Read Is The Right To Mine AU - jennycontentmine, Author ST - ContentMine T2 - ContentMine TI - ContentMine UR - https://contentmining.wordpress.com/ Y2 - 2016/09/24/20:43:56 ID - 2487 ER - TY - JOUR AB - An ever-growing amount of digitized content urges libraries and archives to integrate new media types from a large number of origins such as publishers, record labels and film archives, into their existing collections. This is a challenging task, since the multimedia content itself as well as the associated metadata is inherently heterogeneous-the different sources lead to different data structures, data quality and trustworthiness. This paper presents the CONTENTUS approach towards an automated media processing chain for cultural heritage organizations and content holders. Our workflow allows for unattended processing from media ingest to availability thorough our search and retrieval interface. We aim to provide a set of tools for the processing of digitized print media, audio/visual, speech and musical recordings. Media specific functionalities include quality control for digitization of still image and audio/visual media and restoration of the most common quality issues encountered with these media. Furthermore, the CONTENTUS tools include modules for content analysis like segmentation of printed, audio and audio/visual media, optical character recognition (OCR), speech-to-text transcription, speaker recognition and the extraction of musical features from audio recordings, all aimed at a textual representation of information inherent within the media assets. Once the information is extracted and transcribed in textual form, media independent processing modules offer extraction and disambiguation of named entities and text classification. All CONTENTUS modules are designed to be flexibly recombined within a scalable workflow environment using cloud computing techniques. In the next step analyzed media assets can be retrieved and consumed through a search interface using all available metadata. The search engine combines Semantic Web technologies for representing relations between the media and entities such as persons, locations and organizations with a full-text approach for searching within transcribed information gathered through the preceding processing steps. The CONTENTUS unified search interface integrates text, images, audio and audio/visual content. Queries can be narrowed and expanded in an exploratory manner, search results can be refined by disambiguating entities and topics. Further, semantic relationships become not only apparent, but can also be navigated. AU - Nandzik, J. AU - Litz, B. AU - Flores-Herr, N. AU - Lohden, A. AU - Konya, I. AU - Baum, D. AU - Bergholz, A. AU - Schonfuss, D. AU - Fey, C. AU - Osterhoff, J. AU - Waitelonis, J. AU - Sack, H. AU - Kohler, R. AU - Ndjiki-Nya, P. DA - 2013/03// DO - 10.1007/s11042-011-0971-2 IS - 2 J2 - Multimedia Tools and Applications KW - cloud computing content-based retrieval data structures meta data multimedia systems Search Engines security of data Semantic Web text analysis PY - 2013 SN - 1380-7501 SP - 287-329 ST - CONTENTUS - technologies for next generation multimedia libraries T2 - Multimedia Tools and Applications TI - CONTENTUS - technologies for next generation multimedia libraries UR - http://dx.doi.org/10.1007/s11042-011-0971-2 VL - 63 ID - 821 ER - TY - JOUR AB - A fundamental issue to improve the accessibility to information resources is how to efficiently deal with huge amount(s) of data. In this respect, ontology driven techniques are expected to improve the overlap between the Cognitive Space applied by the user and the Information Space, which is defined by the information providers. In this paper we describe a powerful method to extract semantic granularities, which enable the navigation of a repository according to different levels of abstraction. In the formalisalion we present, granularities are explicitly parametcrised according to criteria induced by the context, which improves the method flexibility. Furthermore, the parameterisation assists the user allowing to formulate and refine the browsing criteria. Case studies are described to demonstrate how granularities ease the information sources browsing and to illustrate how they may vary according to the context. A validation of the cognitive principles behind the method is presented, together with the analysis of the results obtained by the experimentation. AU - Albertoni, R. AU - Camossi, E. AU - De Martino, M. AU - Giannini, F. AU - Monti, M. DA - 2011 DO - 10.1504/IJDMMM.2011.041495 IS - 2 J2 - International Journal of Data Mining, Modelling and Management KW - cognition Information Resources information retrieval meta data ontologies (artificial intelligence) Semantic Web PY - 2011 SN - 1759-1163 SP - 189-215 ST - Context dependent semantic granularity T2 - International Journal of Data Mining, Modelling and Management TI - Context dependent semantic granularity UR - http://dx.doi.org/10.1504/IJDMMM.2011.041495 VL - 3 ID - 788 ER - TY - CONF AB - A precondition of existing ensemble-based distributed data mining techniques is the assumption that contributing data are identically and independently distributed. However, this assumption is not valid in many virtual organization contexts because contextual heterogeneity exists. Focusing on regression tasks, this paper proposes a context-based meta-learning technique for horizontally partitioned data with contextual heterogeneity. The predictive performance of our new approach and the state of the art techniques are evaluated and compared on both simulated and real-world data sets. Springer-Verlag Berlin Heidelberg 2005. AU - Xing, Yan AU - Madden, Michael G. AU - Duggan, Jim AU - Lyons, Gerard J. C3 - 1st International Conference on Advanced Data Mining and Applications, ADMA 2005, July 22, 2005 - July 24, 2005 DA - 2005 KW - Computer Simulation data mining Data processing Distributed computer systems Learning algorithms Metadata Performance Predictive control systems Regression Analysis Societies and institutions N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2005 SN - 03029743 SP - 292-299 ST - Context-sensitive regression analysis for distributed data T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Context-sensitive regression analysis for distributed data VL - 3584 LNAI ID - 1456 ER - TY - CHAP A2 - Li, X. A2 - Wang, S. A2 - Dong, Z. Y. AB - A precondition of existing ensemble-based distributed data mining techniques is the assumption that contributing data are identically and independently distributed. However, this assumption is not valid in many virtual organization contexts because contextual heterogeneity exists. Focusing on regression tasks, this paper proposes a context-based meta-learning technique for horizontally partitioned data with contextual heterogeneity. The predictive performance of our new approach and the state of the art techniques are evaluated and compared on both simulated and real-world data sets. AU - Xing, Y. AU - Madden, M. G. AU - Duggan, J. AU - Lyons, G. J. PY - 2005 SN - 3-540-27894-X SP - 292-299 ST - Context-sensitive regression analysis for distributed data T2 - Advanced Data Mining and Applications, Proceedings TI - Context-sensitive regression analysis for distributed data VL - 3584 ID - 2079 ER - TY - CONF AB - Contextual processing is a great challenge for information retrieval study - the most approved techniques include scanning content of HTML web pages, user supported metadata analysis, automatic inference grounded on knowledge base, or content-oriented digital documents analysis. We propose a meta-heuristic by making use of Genetic Algorithms for Contextual Search (GACS) built on genetic programming (GP) and custom fitness leveling function to optimize contextual queries in exact search that represents unstructured phrases generated by the user. Our findings show that the queries built with GACS can significantly optimize the retrieval process. AU - Huk, M. AU - Kwiatkowski, J. AU - Konieczny, D. AU - Kedziora, M. AU - Mizera-Pietraszko, J. C3 - 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 24-26 June 2015 DA - 2015 DO - 10.1109/CYBConf.2015.7175957 KW - data mining Genetic algorithms query processing text analysis PB - IEEE PY - 2015 SP - 342-7 ST - Context-sensitive text mining with fitness leveling genetic algorithm T3 - 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF). Proceedings TI - Context-sensitive text mining with fitness leveling genetic algorithm UR - http://dx.doi.org/10.1109/CYBConf.2015.7175957 ID - 1648 ER - TY - CONF AB - YouTube is one of the largest video sharing websites (with social networking features) on the Internet. The immense popularity of YouTube, anonymity and low publication barrier has resulted in several forms of misuse and video pollution such as uploading of malicious, copyright violated and spam video or content. YouTube has a popular and commonly used feature called as video response which allows users to post a video response to an uploaded or existing video. Some of the popular videos on YouTube receive thousands of video responses. We observe presence of opportunistic users posting unrelated, promotional, pornographic videos (spam videos posted manually or using automated scripts) as video responses to existing videos. We present a method of mining YouTube to automatically detect video response spam. We formulate the problem of video response spam detection as a one-class classification problem (a recognition task) and divide the problem into three sub-problems: promotional video recognition, pornographic or dirty video recognition and automated script or botnet uploader recognition. We create a sample dataset of target class videos for each of the three sub-problems and identify contextual features (meta-data based or non-content based features) characterizing the target class. Our empirical analysis reveals that certain linguistic features (presence of certain terms in the title or description of the YouTube video), temporal features, popularity based features, time based features can be used to predict the video type. We identify features with discriminatory powers and use it within a one-class classification framework to recognize video response spam. We conduct a series of experiments to validate the proposed approach and present evidences to demonstrate the effectiveness of the proposed solution with more than 80% accuracy. AU - Chaudhary, V. AU - Sureka, A. C3 - 2013 Eleventh Annual Conference on Privacy, Security and Trust (PST), 10-12 July 2013 DA - 2013 DO - 10.1109/PST.2013.6596054 KW - image classification image recognition image sensors Internet Social networking (online) unsolicited e-mail PB - IEEE PY - 2013 SP - 195-204 ST - Contextual feature based one-class classifier approach for detecting video response spam on YouTube T3 - 2013 Eleventh Annual Conference on Privacy, Security and Trust TI - Contextual feature based one-class classifier approach for detecting video response spam on YouTube UR - http://dx.doi.org/10.1109/PST.2013.6596054 ID - 562 ER - TY - CONF AB - Traditional framework for mining association rules has pointed out the derivation of many redundant rules. In order to be reliable in a decision making process, such discovered rules have to be concise and easily understandable for users or as well as an input to visualization tools. In this paper, we present a 3D Histograms -based visualization prototype for handling generic bases of association rules. An interesting feature of the prototype is that it provides a "contextual" exploration of such rule set. Such additional displayed knowledge, based on the construction of fuzzy meta-rules, enhances man-machine interaction by emulating a cooperative behavior. AU - Yahia, S. Ben AU - Nguifo, E. Mephu C3 - 2004 IEEE International Conference on Fuzzy Systems - Proceedings, July 25, 2004 - July 29, 2004 DA - 2004 KW - Cognitive systems Database systems data mining decision making Fuzzy sets Graphical user interfaces Hierarchical systems Human computer interaction N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2004 SN - 10987584 SP - 227-232 ST - Contextual generic association rules visualization using hierarchical fuzzy meta-rules T3 - IEEE International Conference on Fuzzy Systems TI - Contextual generic association rules visualization using hierarchical fuzzy meta-rules VL - 1 ID - 1640 ER - TY - CONF AB - Text mining is now widely considered as an integral part of medical knowledge management systems, in particular when combined with other semantic technologies (e.g. ontologies and linked data). For example, text mining is widely used as part of clinical decision support systems, typically pointing to related clinical cases (e.g. similar context/history), or supporting monitoring and evaluation of healthcare processes. Either on its own or combined with other resources, text-mined data can also provide a large, dynamic and often most up-to-date base for data analytics and reasoning. Importantly, such data can reflect the three aspects of medicine (clinical practice, science, patients) and can provide necessary meta-data and context for medical/clinical models that are used for disease outcome prediction and/or treatment planning. Text mining is also useful for semi-automated updates of knowledge bases. However, the nature of knowledge extracted from text often requires further consolidation e.g. by identification of conflicting and contrasting facts through application of spatial/temporal analyses and reasoning under uncertainty. AU - Nenadic, G. C3 - 15th Conference on Artificial Intelligence in Medicine, AIME 2015, 17-20 June 2015 DA - 2015 DO - 10.1007/978-3-319-19551-3_2 KW - data analysis data mining Health care Knowledge management ontologies (artificial intelligence) PB - Springer International Publishing PY - 2015 SP - 19-21 ST - Contextualisation of biomedical knowledge through large-scale processing of literature, clinical narratives and social media T3 - 15th Conference on Artificial Intelligence in Medicine, AIME 2015 Proceedings: LNCS 9105 TI - Contextualisation of biomedical knowledge through large-scale processing of literature, clinical narratives and social media UR - http://dx.doi.org/10.1007/978-3-319-19551-3_2 ID - 1404 ER - TY - CHAP A2 - Becker, J. A2 - Kozyrev, O. A2 - Babkin, E. A2 - Taratukhin, V. A2 - Aseeva, N. AB - In present article an intellectual data analysis and simulation modeling methods were used for management of information flows of manufacturing enterprise on the basis of ERP (Enterprise Resource Planning) and CAD (Computer-aided design) systems. CALS-simulation model on the basis of Petri nets as an integration tool of the industrial automated systems in a uniform multifunctional business processes control system is designed. Data mining methods development for effective support of decision-making of steady meta-structures of logical data patterns identification are also investigated. The conceptual scheme of evolutionary modeling methods integration for intellectual data analysis of business processes management is developed. AU - Kureichik, Victor M. AU - Kureichik, Vladimir V. AU - Taratukhin, Victor V. AU - Kravchenko, Yury A. AU - Khlebnikova, Anna I. PY - 2016 SN - 978-3-319-23929-3 978-3-319-23927-9 SP - 11-19 ST - Continuous Acquisition and Life-Cycle Support (CALS) Simulation Models on the Basis of the ERP and CAD Technologies Integration T2 - Emerging Trends in Information Systems: Recent Innovations, Results and Experiences TI - Continuous Acquisition and Life-Cycle Support (CALS) Simulation Models on the Basis of the ERP and CAD Technologies Integration ID - 2024 ER - TY - JOUR AB - CONTEXT: Recent studies suggest differences in the incidence of contrast-induced nephropathy (CIN) among contrast media (CM). OBJECTIVE: To determine whether there are significant differences among low-osmolality CM (LOCM) in the incidence of contrast-induced nephropathy (CIN), we reviewed published studies of CIN in renally impaired patients and conducted statistical data mining using databases of adverse events maintained by the U.S. Food and Drug Administration (FDA). DATA SOURCES: A systematic literature search was performed for prospective, controlled, English language studies published in peer-reviewed journals that reported CIN rates in renally impaired patients after a specific LOCM. Databases searched were EMBASE, MEDLINE, Biosis Previews, Derwent Drug File, Pascal, and SciScearch Cited Ref Sci. For the FDA analysis, we used the SRS and AERS databases. DATA SELECTION: Twenty-two studies reporting data in 3112 patients with renal impairment met the inclusion criteria. Most studies reported on the use of a pharmacologic intervention to prevent CIN. From the FDA databases, we evaluated 18 adverse event terms associated with renal injury or dysfunction after CM use. DATA EXTRACTION: Data from 22 studies were entered into a database. A meta-regression analysis using a mixed effect model was performed. CM effect was adjusted by the following covariates: baseline patient characteristics (mean age, gender distribution) and risk factors (prevalence of diabetes mellitus, degree of renal impairment, CM volume), and the use of prophylactic drug treatments. Multiple disproportionality analyses (adjusted odds ratio, adjusted empirical Bayesian estimate, or Bayesian logistic regression) were performed on the FDA databases to estimate associations between 4 CM and 18 AE terms related to CIN. DATA SYNTHESIS: Systematic analysis of clinical trials suggest the highest incidence of CIN occurs in patients receiving iohexol and the lowest incidence in patients receiving iopamidol, even when corrected for other CIN risk factors. Statistical data mining of FDA data also showed the highest association of CIN for iohexol and the lowest for iopamidol. CONCLUSIONS: The risk of CIN was higher in patients receiving iohexol compared with patients receiving iopamidol. No significant differences were found comparing iohexol to other LOCMs, including iodixanol. AU - Solomon, Richard AU - Dumouchel, William DA - 2006/08//undefined DO - 10.1097/01.rli.0000229742.54589.7b IS - 8 J2 - Invest Radiol KW - Bayes Theorem Contrast Media/*adverse effects Humans Iohexol/*adverse effects Iopamidol/*adverse effects Kidney Diseases/*chemically induced/physiopathology Logistic Models Odds Ratio Osmolar Concentration Premedication Regression Analysis Risk Factors LA - eng PY - 2006 SN - 0020-9996 0020-9996 SP - 651-660 ST - Contrast media and nephropathy: findings from systematic analysis and Food and Drug Administration reports of adverse effects T2 - Investigative radiology TI - Contrast media and nephropathy: findings from systematic analysis and Food and Drug Administration reports of adverse effects VL - 41 ID - 303 ER - TY - JOUR AB - Given the mounting convergent evidence implicating many more genes in complex disorders such as bipolar disorder than the small number identified unambiguously by the first-generation Genome-Wide Association studies (GWAS) to date, there is a strong need for improvements in methodology. One strategy is to include in the next generation GWAS larger numbers of subjects, and/or to pool independent studies into meta-analyses. We propose and provide proof of principle for the use of a complementary approach, convergent functional genomics (CFG), as a way of mining the existing GWAS datasets for signals that are there already, but did not reach significance using a genetics-only approach. With the CFG approach, the integration of genetics with genomics, of human and animal model data, and of multiple independent lines of evidence converging on the same genes offers a way of extracting signal from noise and prioritizing candidates. In essence our analysis is the most comprehensive integration of genetics and functional genomics to date in the field of bipolar disorder, yielding a series of novel (such as Klf12, Aldh1a1, A2bp1, Ak3l1, Rorb, Rora) and previously known (such as Bdnf, Arntl, Gsk3b, Disc1, Nrg1, Htr2a) candidate genes, blood biomarkers, as well as a comprehensive identification of pathways and mechanisms. These become prime targets for hypothesis driven follow-up studies, new drug development and personalized medicine approaches. AU - Le-Niculescu, H. AU - Patel, S. D. AU - Bhat, M. AU - Kuczenski, R. AU - Faraone, S. V. AU - Tsuang, M. T. AU - McMahon, F. J. AU - Schork, N. J. AU - Nurnberger, J. I., Jr. AU - Niculescu, A. B., 3rd DA - 2009/03/05/ DO - 10.1002/ajmg.b.30887 IS - 2 J2 - Am J Med Genet B Neuropsychiatr Genet KW - Animals Biomarkers/blood Bipolar Disorder/drug therapy/*genetics Drug Design Gene Expression Profiling Genome-Wide Association Study/*methods Genomics/*methods Humans Mice Signal Transduction/genetics L1 - internal-pdf://1173059560/Le-Niculescu-2009-Convergent functional genomi.pdf LA - eng PY - 2009 SN - 1552-485X 1552-4841 SP - 155-181 ST - Convergent functional genomics of genome-wide association data for bipolar disorder: comprehensive identification of candidate genes, pathways and mechanisms T2 - American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics TI - Convergent functional genomics of genome-wide association data for bipolar disorder: comprehensive identification of candidate genes, pathways and mechanisms UR - http://onlinelibrary.wiley.com/store/10.1002/ajmg.b.30887/asset/30887_ftp.pdf?v=1&t=itiv1a1g&s=48216cbb40d698e91ed4dba2bfdd35652f14e42c VL - 150B ID - 283 ER - TY - JOUR AB - Mining the latent conversations which are implied in the big amount of text messages stored on one's mobile phone, is a challenging problem. They can hardly be organized by threads, due to lack of necessary metadata such as "subject" and "reply-to". This paper proposes an innovative conversation recognition model based on temporal clustering algorithms and topic detection methods. The study first clusters the text messages into candidate conversations based on their temporal attributes, and then does further analysis using a semantic model based on latent Dirichlet allocation (LDA). In the end, the text messages are organized as conversations based on their integrated correlation of temporal relevancy and topic relevancy. This approach is evaluated with a real dataset, which contain 122 359 text messages collected from 50 university students during 6 months. AU - Tian, Ye AU - Wang, Wen-Dong AU - Rao, Jing-Hai AU - Wang, Guan AU - Guo, Liang AU - Chen, Can-Feng AU - Ma, Jian DA - 2012/10// DO - 10.3724/SP.J.1001.2012.04191 IS - 10 J2 - Journal of Software KW - data mining electronic messaging meta data mobile computing pattern clustering PY - 2012 SN - 1000-9825 SP - 2586-99 ST - Conversation detection and organization of mobile text messages T2 - Journal of Software TI - Conversation detection and organization of mobile text messages UR - http://dx.doi.org/10.3724/SP.J.1001.2012.04191 VL - 23 ID - 1317 ER - TY - JOUR AB - Today it is quite common for people to exchange hundreds of comments in online conversations (e.g., blogs). Often, it can be very difficult to analyze and gain insights from such long conversations. To address this problem, we present a visual text analytic system that tightly integrates interactive visualization with novel text mining and summarization techniques to fulfill information needs of users in exploring conversations. At first, we perform a user requirement analysis for the domain of blog conversations to derive a set of design principles. Following these principles, we present an interface that visualizes a combination of various metadata and textual analysis results, supporting the user to interactively explore the blog conversations. We conclude with an informal user evaluation, which provides anecdotal evidence about the effectiveness of our system and directions for further design. AU - Hoque, E. AU - Carenini, G. DA - 2014/06// DO - 10.1111/cgf.12378 IS - 3 J2 - Computer Graphics Forum KW - data analysis data mining data visualisation information needs interactive systems meta data text analysis User interfaces Web sites L1 - internal-pdf://3536562990/Hoque-2014-ConVis_ A Visual Text Analytic Syst.pdf PY - 2014 SN - 0167-7055 SP - 221-30 ST - ConVis: A Visual Text Analytic System for Exploring Blog Conversations T2 - Computer Graphics Forum TI - ConVis: A Visual Text Analytic System for Exploring Blog Conversations UR - http://dx.doi.org/10.1111/cgf.12378 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/cgf.12378/asset/cgf12378.pdf?v=1&t=ititodgh&s=bd403f2de10f6f94ab37d56e2f417c3bdef863c0 VL - 33 ID - 1337 ER - TY - CHAP AB - The analysis and assessment of team processes to inform facilitation for increased team effectiveness is a challenging task for organizations. Also, research has troubles to grasp the complexity of team effectiveness, which often results in treating team processes as a black box. This paper introduces a design artifact that is built upon the collaboration process analysis technique CoPrA. The technique strives to support the analysis of team processes by identifying behavior patterns, which crystalize as behavior patterns in the dynamic process of a team. The paper aims to contribute to behavioral research as it showcases a set of process metrics for the analysis of team communication. Furthermore, the paper aims to contribute to design-science research by providing an integrated tool for content analysis and process mining used primarily by researchers. AU - Frati, Fulvio AU - Seeber, Isabella PY - 2013 SN - 978-1-4799-0786-1 978-1-4799-0784-7 SP - 43-48 ST - CoPrA: A Tool For Coding and Measuring Communication In Teams T2 - 2013 7th Ieee International Conference on Digital Ecosystems and Technologies (dest) TI - CoPrA: A Tool For Coding and Measuring Communication In Teams ID - 2247 ER - TY - JOUR AB - BACKGROUND: High throughput microarray analyses result in many differentially expressed genes that are potentially responsible for the biological process of interest. In order to identify biological similarities between genes, publications from MEDLINE were identified in which pairs of gene names and combinations of gene name with specific keywords were co-mentioned. RESULTS: MEDLINE search strings for 15,621 known genes and 3,731 keywords were generated and validated. PubMed IDs were retrieved from MEDLINE and relative probability of co-occurrences of all gene-gene and gene-keyword pairs determined. To assess gene clustering according to literature co-publication, 150 genes consisting of 8 sets with known connections (same pathway, same protein complex, or same cellular localization, etc.) were run through the program. Receiver operator characteristics (ROC) analyses showed that most gene sets were clustered much better than expected by random chance. To test grouping of genes from real microarray data, 221 differentially expressed genes from a microarray experiment were analyzed with CoPub Mapper, which resulted in several relevant clusters of genes with biological process and disease keywords. In addition, all genes versus keywords were hierarchical clustered to reveal a complete grouping of published genes based on co-occurrence. CONCLUSION: The CoPub Mapper program allows for quick and versatile querying of co-published genes and keywords and can be successfully used to cluster predefined groups of genes and microarray data. AU - Alako, Blaise T. F. AU - Veldhoven, Antoine AU - van Baal, Sjozef AU - Jelier, Rob AU - Verhoeven, Stefan AU - Rullmann, Ton AU - Polman, Jan AU - Jenster, Guido DA - 2005 DO - 10.1186/1471-2105-6-51 J2 - BMC Bioinformatics KW - *Databases, Bibliographic Algorithms Chromosome Mapping Cluster Analysis Computational Biology/*methods Computer Graphics Databases, Factual Databases, Genetic Expressed Sequence Tags False Positive Reactions Gene Expression Profiling Genes Humans Information storage and retrieval Medline Meta-Analysis as Topic Models, Molecular Models, Statistical Oligonucleotide Array Sequence Analysis/*methods Pattern Recognition, Automated PubMed ROC Curve Sequence Alignment Sequence Analysis, DNA Software Subject Headings User-Computer Interface Vocabulary, Controlled L1 - internal-pdf://3130390644/Alako-2005-CoPub Mapper_ mining MEDLINE based.pdf LA - eng PY - 2005 SN - 1471-2105 1471-2105 SP - 51 ST - CoPub Mapper: mining MEDLINE based on search term co-publication T2 - BMC bioinformatics TI - CoPub Mapper: mining MEDLINE based on search term co-publication UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1274248/pdf/1471-2105-6-51.pdf VL - 6 ID - 157 ER - TY - CONF AB - The proceedings contain 36 papers. The topics discussed include: mining the web for lists of named entities; semantic clustering of social networks using points of view; solving concept mismatch through Bayesian framework by extending UMLS meta-thesaurus; organizing personal photo collections using both contextual metadata and content analysis; and towards automatic cross-lingual transfer of semantic annotation. C3 - 8th Conference on Information Retrieval and Applications, CORIA 2011, March 16, 2011 - March 18, 2011 DA - 2011 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association ARIA PY - 2011 ST - CORIA 2011: Conference on Information Retrieval and Applications T3 - CORIA 2011: COnference en Recherche d'Information et Applications - Conference on Information Retrieval and Applications TI - CORIA 2011: Conference on Information Retrieval and Applications ID - 531 ER - TY - JOUR AB - Meta-analysis is becoming an increasingly popular and powerful tool to integrate findings across studies and OMIC dimensions. But there is the danger that hidden dependencies between putatively "independent" studies can cause inflation of type I error, due to reinforcement of the evidence from false-positive findings. We present here a simple method for conducting meta-analyses that automatically estimates the degree of any such non-independence between OMIC scans and corrects the inference for it, retaining the proper type I error structure. The method does not require the original data from the source studies, but operates only on summary analysis results from these in OMIC scans. The method is applicable in a wide variety of situations including combining GWAS and or sequencing scan results across studies with dependencies due to overlapping subjects, as well as to scans of correlated traits, in a meta-analysis scan for pleiotropic genetic effects. The method correctly detects which scans are actually independent in which case it yields the traditional meta-analysis, so it may safely be used in all cases, when there is even a suspicion of correlation amongst scans. AU - Province, Michael A. AU - Borecki, Ingrid B. DA - 2013 J2 - Pac Symp Biocomput KW - Computational Biology Computer Simulation Data Mining/*methods/statistics & numerical data Genome-Wide Association Study/statistics & numerical data Genomics/*statistics & numerical data Humans Meta-Analysis as Topic Oligonucleotide Array Sequence Analysis/statistics & numerical data Polymorphism, Single Nucleotide Precision Medicine/statistics & numerical data LA - eng PY - 2013 SN - 2335-6936 SP - 236-246 ST - A correlated meta-analysis strategy for data mining "OMIC" scans T2 - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing TI - A correlated meta-analysis strategy for data mining "OMIC" scans ID - 7 ER - TY - CONF AB - The study of the associations between audio and video contents has numerous important applications in the fields of multimedia mining and information retrieval. Many works are implemented to correlate audio and video contents based on signal processing. This work represents audio visual correlation using metadata of audio and video as a leading role. The proposed method focuses on the web videos which exhibit a broad range of structural and semantic relationships between audio and video contents. To identify such relationships, it is necessary to undergo correlation analysis of audio and video contents. In this work, attempts are made to correlate audio and video contents of Entertainments, Sports and News categories web videos effectively and efficiently, and also correlation coefficient are calculated. The experimental procedures and results on the correlation of audio-video sequences by considering audio spectrogram frequency value to corresponding video bitrate value is described using different methods. AU - Algur, S. P. AU - Goudannavar, B. A. AU - Bhat, P. C3 - 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), 29-31 Oct. 2015 DA - 2015 DO - 10.1109/ICATCCT.2015.7456908 KW - information retrieval meta data Video signal processing PB - IEEE PY - 2015 SP - 351-6 ST - Correlation analysis of audio and video contents: a metadata based approach T3 - 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) TI - Correlation analysis of audio and video contents: a metadata based approach UR - http://dx.doi.org/10.1109/ICATCCT.2015.7456908 ID - 1220 ER - TY - JOUR AB - In recent years, a few sequential covering algorithms for classification rule discovery based on the ant colony optimization meta-heuristic (ACO) have been proposed. This paper proposes a new ACO-based classification algorithm called AntMiner-C. Its main feature is a heuristic function based on the correlation among the attributes. Other highlights include the manner in which class labels are assigned to the rules prior to their discovery, a strategy for dynamically stopping the addition of terms in a rule's antecedent part, and a strategy for pruning redundant rules from the rule set. We study the performance of our proposed approach for twelve commonly used data sets and compare it with the original AntMiner algorithm, decision tree builder C4.5, Ripper, logistic regression technique, and a SVM. Experimental results show that the accuracy rate obtained by AntMiner-C is better than that of the compared algorithms. However, the average number of rules and average terms per rule are higher. AU - Baig, A. R. AU - Shahzad, W. DA - 2012/03// DO - 10.1007/s00521-010-0490-5 IS - 2 J2 - Neural Computing & Applications KW - data mining decision trees optimisation pattern classification Regression Analysis PY - 2012 SN - 0941-0643 SP - 219-35 ST - A correlation-based ant miner for classification rule discovery T2 - Neural Computing & Applications TI - A correlation-based ant miner for classification rule discovery UR - http://dx.doi.org/10.1007/s00521-010-0490-5 VL - 21 ID - 1133 ER - TY - CONF AB - We present an analysis of the costs of reducing CO2 emissions in the US in the near-term (the next ten years), by taking a bottom-up engineering-economic approach and covering a broad spectrum of technology-based abatement measures. In this meta-study technology cost-performance data are extracted from publicly available literature and "normalized" to a standard set of economic parameters and assumptions to assure consistency. Although the normalization is most complete for electric power and vehicles, the work covers buildings and industry as well. Costs of CO2 transport and sequestration are also discussed, but we have not considered emission reductions achievable by changes in the management of forest and agricultural land. Abatement costs are calculated with respect to a baseline, for which we have chosen the EIA forecast of the Annual Energy Outlook 2005. The emissions data are expressed as equivalent CO2, including CH4 and N2O; they also include upstream emissions, e.g. for fuel production. We also estimate the potential near-term emission reductions, as well as the uncertainties in abatement cost and reduction potential. The results are used to derive a supply curve, along with confidence intervals. Copyright 2007 by ASME. AU - Rabl, Ari AU - Rabl, Veronika A. AU - Spadaro, Joseph V. AU - Kreider, Jan F. C3 - 2007 Energy Sustainability Conference, June 27, 2007 - June 30, 2007 DA - 2007 DO - 10.1115/ES2007-36048 KW - Carbon dioxide cost reduction Electric vehicles Emission control Gas emissions N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Society of Mechanical Engineers PY - 2007 SP - 91-101 ST - Costs of carbon dioxide abatement in the United States T3 - Proceedings of the Energy Sustainability Conference 2007 TI - Costs of carbon dioxide abatement in the United States UR - http://dx.doi.org/10.1115/ES2007-36048 ID - 470 ER - TY - JOUR AB - As part of the complete thermodynamic modeling of the Na2O-FeO-Fe2O3-Al2O3system, the Na2O-FeO-Fe2O3-Al2O3phase diagrams in air (1583 and 1698 K) and at Fe saturation (1573 and 1673 K) were investigated using the quenching method followed by Electron Probe Micro-Analyzer (EPMA) and X-ray Diffraction (XRD) phase analysis. General features of the phase diagrams in this system were well revealed for the first time. A complete meta-oxide solid solution between NaAlO2and NaFeO2was observed. An extensive solid solution of Na2(Al,Fe)12O19Na--alumina was found and the existence of a miscibility gap in this solution was confirmed. Several compatibility triangles of three-phase assemblages were also identified in air and at Fe saturation. 2015 The American Ceramic Society. AU - Moosavi-Khoonsari, Elmira AU - Hudon, Pierre AU - Jung, In-Ho DA - 2016 DO - 10.1111/jace.14020 IS - 2 J2 - Journal of the American Ceramic Society KW - Alumina Aluminum Iron oxides Phase diagrams Sodium Solid solutions X ray diffraction N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 00027820 SP - 705-714 ST - Coupled Experimental and Thermodynamic Optimization of the Na2O-FeO-Fe2O3-Al2O3System: Part 1. Phase Diagram Experiments T2 - Journal of the American Ceramic Society TI - Coupled Experimental and Thermodynamic Optimization of the Na2O-FeO-Fe2O3-Al2O3System: Part 1. Phase Diagram Experiments UR - http://dx.doi.org/10.1111/jace.14020 VL - 99 ID - 824 ER - TY - JOUR AB - Kernel based techniques have shown outstanding success in data mining and machine learning in the recent past. Many optimization problems of kernel based methods suffer from multiple local optima. Evolution strategies have grown to successful methods in non-convex optimization. This work shows how both areas can profit from each other. We investigate the application of evolution strategies to Nadaraya-Watson based kernel regression and vice versa. The Nadaraya-Watson estimator is used as meta-model during optimization with the covariance matrix self-adaptation evolution strategy. An experimental analysis evaluates the meta-model assisted optimization process on a set of test functions and investigates model sizes and the balance between objective function evaluations on the real function and on the surrogate. In turn, evolution strategies can be used to optimize the embedded optimization problem of unsupervised kernel regression. The latter is fairly parameter dependent, and minimization of the data space reconstruction error is an optimization problem with numerous local optima. We propose an evolution strategy based unsupervised kernel regression method to solve the embedded learning problem. Furthermore, we tune the novel method by means of the parameter tuning technique sequential parameter optimization. AU - Kramer, O. DA - 2010 DO - 10.3233/FI-2010-218 IS - 1 J2 - Fundamenta Informaticae KW - covariance matrices data mining evolutionary computation learning (artificial intelligence) Regression Analysis PY - 2010 SN - 0169-2968 SP - 87-106 ST - Covariance Matrix Self-adaptation and Kernel Regression - Perspectives of Evolutionary Optimization in Kernel Machines T2 - Fundamenta Informaticae TI - Covariance Matrix Self-adaptation and Kernel Regression - Perspectives of Evolutionary Optimization in Kernel Machines UR - http://dx.doi.org/10.3233/FI-2010-218 http://content.iospress.com/articles/fundamenta-informaticae/fi98-1-07 VL - 98 ID - 1354 ER - TY - CONF AB - This paper has two main goals: to describe the automatic creation of a digital library and to provide an overview of the meta-algorithmic patterns that can be applied to increase the accuracy of its creation. Automating the creation of useful digital libraries - that is, digital libraries affording searchable text and reusable ("re-purposable") output - is a complicated process, whether the original library is paper-based or already available in electronic form. In this paper, we outline the steps involved in the creation of a deployable digital library (1.2 x 106 pages) for MIT Press, as well as its implications to other aspects of digital library creation, management, use and repurposing. Input, transformation, information extraction, and output processes are considered in light of their utility in creating layers of content. Interestingly, in some aspects, scanning directly from paper offers extra opportunities for error-checking through feedback-feedforward combination. Strategies for quality assurance (QA) at the document, chapter and book level are also discussed. We emphasize the use of meta-algorithmic design patterns for application towards improving the content generation, extraction and re-mastering. This approach also increases the ease with which modules and algorithms are added to and deprecated from the system. AU - Simske, Steven AU - Lin, Xiaofan C3 - Proceedings First International Workshop on Document Image Analysis for Libraries DIAL 2004, January 23, 2004 - January 24, 2004 DA - 2004 DO - 10.1109/DIAL.2004.1263235 KW - Algorithms Computer Graphics Data reduction Digital Libraries Feedback Large scale systems Printing Quality Assurance World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Computer Society PY - 2004 SP - 33-45 ST - Creating Digital Libraries: Content Generation and Re-Mastering T3 - Proceedings - First International Workshop on Document Image Analysis for Libraries - DIAL 2004 TI - Creating Digital Libraries: Content Generation and Re-Mastering UR - http://dx.doi.org/10.1109/DIAL.2004.1263235 ID - 760 ER - TY - CONF AB - This paper describes the part of the European PrestoSpace project dedicated to the study and development of a metadata access and delivery (MAD) system for television broadcast archives. The mission of the MAD system, inside the wider perspective of the PrestoSpace factory, is to generate, validate and deliver to the archive users metadata created through the employment of both automatic and manual information extraction tools. Automatic tools include audiovisual content analysis and semantic analysis of text extracted by automatic speech recognition (ASR). The MAD publication platform provides access and search facilities to the imported and newly produced metadata in a synergic and easy-to-use interface. AU - Messina, A. AU - Boch, L. AU - Dimino, G. AU - Bailer, W. AU - Schallauer, P. AU - Allasia, W. AU - Groppo, M. AU - Vigilante, M. AU - Basili, R. C3 - 2006 2nd International Conference on Automated Production of Cross Media, 13-15 Dec. 2006 DA - 2006 KW - audio-visual systems broadcasting information retrieval systems meta data speech recognition television text analysis N1 -CD-ROM
PB - IEEE Computer Society PY - 2006 SP - 8-pp. ST - Creating rich metadata in the TV broadcast archives environment: the PrestoSpace project T3 - 2006 2nd International Conference on Automated Production of Cross Media TI - Creating rich metadata in the TV broadcast archives environment: the PrestoSpace project ID - 787 ER - TY - CONF AB - Background: Since the introduction of the systematic review process to Software Engineering in 2004, researchers have investigated a number of ways to mitigate the amount of effort and time taken to filter through large volumes of literature. Aim: This study aims to provide a critical analysis of text mining techniques used to support the citation screening stage of the systematic review process. Method: We critically re-reviewed papers included in a previous systematic review which addressed the use of text mining methods to support the screening of papers for inclusion in a review. The previous review did not provide a detailed analysis of the text mining methods used. We focus on the availability in the papers of information about the text mining methods employed, including the description and explanation of the methods, parameter settings, assessment of the appropriateness of their application given the size and dimensionality of the data used, performance on training, testing and validation data sets, and further information that may support the reproducibility of the included studies. Results: Support Vector Machines (SVM), Naive Bayes (NB) and Committee of classifiers (Ensemble) are the most used classification algorithms. In all of the studies, features were represented with Bag-of-Words (BOW) using both binary features (28%) and term frequency (66%). Five studies experimented with n-grams with n between 2 and 4, but mostly the unigram was used. ?2, information gain and tf-idf were the most commonly used feature selection techniques. Feature extraction was rarely used although LDA and topic modelling were used. Recall, precision, F and AUC were the most used metrics and cross validation was also well used. More than half of the studies used a corpus size of below 1,000 documents for their experiments while corpus size for around 80% of the studies was 3,000 or fewer documents. The major common ground we found for comparing performance assessment based on independent replication of studies was the use of the same dataset but a sound performance comparison could not be established because the studies had little else in common. In most of the studies, insufficient information was reported to enable independent replication. The studies analysed generally did not include any discussion of the statistical appropriateness of the text mining method that they applied. In the case of applications of SVM, none of the studies report the number of support vectors that they found to indicate the complexity of the prediction engine that they use, making it impossible to judge the extent to which over-fitting might account for the good performance results. Conclusions: There is yet to be concrete evidence about the effectiveness of text mining algorithms regarding their use in the automation of citation screening in systematic reviews. The studies indicate that options are still being explored, but there is a need for better reporting as well as more explicit process details and access to datasets to facilitate study replication for evidence strengthening. In general, the reader often gets the impression that text mining algorithms were applied as magic tools in the reviewed papers, relying on default settings or default optimization of available machine learning toolboxes without an in-depth understanding of the statistical validity and appropriateness of such tools for text mining purposes. 2016 ACM. AU - Olorisade, Babatunde K. AU - De Quincey, Ed AU - Andras, Peter AU - Brereton, Pearl C3 - 20th International Conference on Evaluation and Assessment in Software Engineering, EASE 2016, June 1, 2016 - June 3, 2016 DA - 2016 DO - 10.1145/2915970.2915982 KW - Algorithms artificial intelligence automation data mining feature extraction Filtration Learning systems Optimization Paper software engineering Support Vector Machines Text processing L1 - internal-pdf://1967513926/a14-olorisade.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2016 ST - A critical analysis of studies that address the use of text mining for citation screening in systematic reviews T3 - ACM International Conference Proceeding Series TI - A critical analysis of studies that address the use of text mining for citation screening in systematic reviews UR - http://dx.doi.org/10.1145/2915970.2915982 VL - 01-03-June-2016 ID - 1624 ER - TY - JOUR AU - Renholm, Marja AU - Leino-Kilpi, Helena AU - Suominen, Tarja DA - 2002 DP - Google Scholar IS - 4 PY - 2002 SP - 196-202 ST - Critical pathways T2 - Journal of Nursing Administration TI - Critical pathways: a systematic review UR - http://journals.lww.com/jonajournal/Abstract/2002/04000/Critical_Pathways__A_Systematic_Review.8.aspx VL - 32 Y2 - 2016/09/24/15:37:30 ID - 2358 ER - TY - JOUR AB - The CCPMT is a free, web-based tool that allows plant investigators to rapidly determine if a given gene is present across various microarray platforms, which, of a list of genes, is present on array(s), and which gene a probe or probe set queries and vice versa, and to compare and contrast the gene contents of arrays. The CCPMT also maps a probe or probe sets to a gene or genes within and across species, and permits the mapping of the entire content from one array to another. By using the CCPMT, investigators will have a better understanding of the contents of arrays, a better ability to link data between experiments, ability to conduct meta-analysis and combine datasets, and an increased ability to conduct data mining projects. AU - Ghanekar, Ruchi AU - Srinivasasainagendra, Vinodh AU - Page, Grier P. DA - 2008 DO - 10.1155/2008/451327 J2 - Int J Plant Genomics L1 - internal-pdf://2521437314/Ghanekar-2008-Cross-chip probe matching tool_.pdf LA - eng PY - 2008 SN - 1687-5370 1687-5389 SP - 451327 ST - Cross-chip probe matching tool: A web-based tool for linking microarray probes within and across plant species T2 - International journal of plant genomics TI - Cross-chip probe matching tool: A web-based tool for linking microarray probes within and across plant species UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2570748/pdf/IJPG2008-451327.pdf VL - 2008 ID - 322 ER - TY - CONF AU - Zimmermann, Thomas AU - Nagappan, Nachiappan AU - Gall, Harald AU - Giger, Emanuel AU - Murphy, Brendan C3 - Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering DA - 2009 DP - Google Scholar L1 - http://www.ptidej.net/seminars/2013/131014%20-%20Yann-Gael%20Gueheneuc%20-%20Quality,%20Patterns,%20and%20Multi-language%20Systems/Paper%20-%20Zimmermann%20et%20al.pdf PB - ACM PY - 2009 SP - 91-100 ST - Cross-project defect prediction TI - Cross-project defect prediction: a large scale experiment on data vs. domain vs. process UR - http://dl.acm.org/citation.cfm?id=1595713 Y2 - 2016/09/24/16:06:07 ID - 2425 ER - TY - JOUR AB - Forbidden disulfides are stressed disulfides found in recognisable protein contexts previously defined as structurally forbidden. The torsional strain of forbidden disulfides is typically higher than for structural disulfides, but not so high as to render them immediately susceptible to reduction under physionormal conditions. The meta-stability of forbidden disulfides makes them likely candidates as redox switches. Here we mined the Protein Data Bank for examples of the most common forbidden disulfide, the aCSDn. This is a canonical motif in which disulfide-bonded cysteine residues are positioned directly opposite each other on adjacent anti-parallel -strands such that the backbone hydrogen bonded moieties are directed away from each other. We grouped these aCSDns into homologous clusters and performed an extensive physicochemical and informatic analysis of the examples found. We estimated their torsional energies using quantum chemical calculations and studied differences between the preferred conformations of the computational model and disulfides found in solved protein structures to understand the interaction between the forces imposed by the disulfide linkage and typical constraints of the surrounding -sheet. In particular, we assessed the twisting, shearing and buckling of aCSDn-containing -sheets, as well as the structural and energetic relaxation when hydrogen bonds in the motif are broken. We show the strong preference of aCSDns for the right-handed staple conformation likely arises from its compatibility with the twist, shear and Cseparation of canonical -sheet. The disulfide can be accommodated with minimal distortion of the sheet, with almost all the strain present as torsional strain within the disulfide itself. For each aCSDn cluster, we summarise the structural and strain data, taxonomic conservation and any evidence of redox activity. aCSDns are known substrates of thioredoxin-like enzymes. This, together with their meta-stability, means they are ideally suited to biological switching roles and are likely to play important roles in the molecular pathways of oxidative stress. The Royal Society of Chemistry. AU - Haworth, Naomi L. AU - Wouters, Merridee A. DA - 2015 DO - 10.1039/c5ra10672a IS - 105 J2 - RSC Advances KW - Amino acids Chemical bonds Conformations C (programming language) Hydrogen bonds Proteins Quantum chemistry Redox reactions Sulfur compounds L1 - internal-pdf://1286966948/Haworth-2015-Cross-strand disulfides in the no.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 20462069 SP - 86303-86321 ST - Cross-strand disulfides in the non-hydrogen bonding site of antiparallel -sheet (aCSDns): poised for biological switching T2 - RSC Advances TI - Cross-strand disulfides in the non-hydrogen bonding site of antiparallel -sheet (aCSDns): poised for biological switching UR - http://dx.doi.org/10.1039/c5ra10672a http://pubs.rsc.org/en/content/articlepdf/2015/ra/c5ra10672a VL - 5 ID - 462 ER - TY - JOUR AU - Cohen, Aaron M. AU - Ambert, Kyle AU - McDonagh, Marian DA - 2009 DP - Google Scholar IS - 5 L1 - http://skynet.ohsu.edu/~cohenaa/cohen-crosstopic-jamia2009.pdf internal-pdf://2033505236/Cohen-2009-Cross-topic learning for work prior.pdf PY - 2009 SP - 690-704 ST - Cross-topic learning for work prioritization in systematic review creation and update T2 - Journal of the American Medical Informatics Association TI - Cross-topic learning for work prioritization in systematic review creation and update UR - http://jamia.oxfordjournals.org/content/16/5/690.short https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2744720/pdf/690.S1067502709001224.main.pdf VL - 16 Y2 - 2016/09/24/15:35:34 ID - 2338 ER - TY - JOUR AB - This discussion compares Pizer's concept of "relational (k)nots" with "crunches" and double bind impasses. It argues that all of these constructs capture what happens when conventional analytic method the exploration, elucidation, and interpretation of transference-fails to work. In this context a "last-ditch effort" emerges, a necessary crisis of treatment. The situation is a plea that something must occur "now or never" or the "charade of therapy is over." This plea is extraordinarily challenging since it embodies contradictory elements wherein the patient's very call for involvement with the analyst is embedded in a process that obfuscates their connection. Notably this sets the stage for the "damned if one 'gets it' and damned if one doesn't" experience that is a part of the paradox of recognition/mis-recognition that befuddles many analyses. Extrication from such impasses requires the analyst's recognition that she is colluding in a kind of avoidance or distraction from recognizing their disconnection. Her second act involves meta-communication about their process. That is how their "relational knot" both binds them together while negating their connection. While this observation may be necessary it is recognized as insufficient on its own. Thus her third move out of the impasse requires her to enter into a state of improvisation. That is, to use some part of herself that must surrender from the one-up one-down impasse position of "either your version of reality or mine." Instead, she must cultivate through her action a third way in which both she and her patient can think about their impasse and do something about it, including something different, from what either one might have imagined before. AU - Ringstrom, P. A. DA - 2003/04//MAR DO - 10.1080/10481881309348728 IS - 2 PY - 2003 SN - 1048-1885 SP - 193-205 ST - "Crunches," "(K)nots," and double binds - When what isn't happening is the most important thing - Commentary on paper by Barbara Pizer T2 - Psychoanalytic Dialogues TI - "Crunches," "(K)nots," and double binds - When what isn't happening is the most important thing - Commentary on paper by Barbara Pizer VL - 13 ID - 2276 ER - TY - JOUR AB - The crystal structure of natural magnesiozippeite, Mg[(UO2)(2)O-2(SO4)](H2O)(3.5), from East Saddle mine, San Juan County, U.S.A., has been determined by single-crystal X-ray diffraction analysis and refined to R (obs) = 0.0348. The mineral is monoclinic, crystallizing in the space group C2/m, with unit cell parameters a = 8.7005(5), b = 14.2541(6), c = 8.8433(5), beta = 104.408(5)A degrees, V = 1062.24(9) (3) and Z = 4. The structure consists of the structural sheets of zippeite topology, represented by a structure unit [(UO2)(2)O-2(SO4)](2-), and an interlayer where two Mg2+ I broken vertical bar(6) octahedra are located. The crystal structure of natural magnesiozippeite shows considerable differences to the structure of previously reported synthetic analogue, namely in coordination of Mg2+ in the interlayer. AU - Plasil, Jakub AU - Fejfarova, Karla AU - Skoda, Radek AU - Dusek, Michal AU - Marty, Joe AU - Cejka, Jiri DA - 2013/04// DO - 10.1007/s00710-012-0241-7 IS - 2 PY - 2013 SN - 0930-0708 SP - 211-219 ST - The crystal structure of magnesiozippeite, Mg[(UO2)(2)O-2(SO4)](H2O)(3.5), from East Saddle Mine, San Juan County, Utah (USA) T2 - Mineralogy and Petrology TI - The crystal structure of magnesiozippeite, Mg[(UO2)(2)O-2(SO4)](H2O)(3.5), from East Saddle Mine, San Juan County, Utah (USA) VL - 107 ID - 2102 ER - TY - JOUR AB - Analysis of material from Daybreak mine, Mt. Spokane, Wash, shows that meta-autunite (I) has tetragonal unit cell with a=19.78 A, c=16. 92 A, Laue group 4/mmm, space group P4222, volume=6620 A3; pseudo-unit cell is tetragonal with a = 6.99 A and c = 8.46 A; procedures necessary to ensure determination of correct crystallography by recording very weak X-ray reflections. AU - Ross, M. DA - 1963 IS - 11-12 J2 - American Mineralogist KW - Mineralogy Uranates N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 1963 SP - 1389-1393 ST - Crystallography of meta-autunite (I) T2 - American Mineralogist TI - Crystallography of meta-autunite (I) VL - 48 ID - 1252 ER - TY - CONF AB - Analysis of dynamic brain imaging data from EEG, MEG or fMRI requires a common temporal context to enable meta-analysis and data mining across experiments. However, there is no standardized method of annotating events, even from laboratory experiments in controlled settings, and the event-rich environments of real-world brain imaging present a still greater annotation challenge. We have developed a MATLAB toolbox called CTAGGER to enable a user-friendly, semi-structured and expandable strategy for event annotation in dynamic brain imaging and other time-series. To facilitate common labeling and comparison across data collections and laboratories, an individual's annotation can be collected in a common community database to encourage annotation reuse. The tools allow the creation of multiple event overlays to facilitate the reuse and combination of brain imaging data for multiple analyses. AU - Rognon, T. AU - Strautman, R. AU - Jett, L. AU - Bigdely-Shamlo, N. AU - Makeig, S. AU - Johnson, T. AU - Robbins, K. C3 - 2013 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 3-5 Dec. 2013 DA - 2013 DO - 10.1109/GlobalSIP.2013.6736797 KW - biomedical MRI Brain data acquisition data analysis data mining electroencephalography Human computer interaction information retrieval magnetoencephalography medical computing meta data Social networking (online) time series PB - IEEE PY - 2013 SP - 5-8 ST - CTAGGER: semi-structured community tagging for annotation and data-mining in event-rich contexts T3 - 2013 IEEE Global Conference on Signal and Information Processing (GlobalSIP) TI - CTAGGER: semi-structured community tagging for annotation and data-mining in event-rich contexts UR - http://dx.doi.org/10.1109/GlobalSIP.2013.6736797 ID - 1811 ER - TY - JOUR AB - This article introduces a manually curated data collection for gene expression meta-analysis of patients with ovarian cancer and software for reproducible preparation of similar databases. This resource provides uniformly prepared microarray data for 2970 patients from 23 studies with curated and documented clinical metadata. It allows users to efficiently identify studies and patient subgroups of interest for analysis and to perform meta-analysis immediately without the challenges posed by harmonizing heterogeneous microarray technologies, study designs, expression data processing methods and clinical data formats. We confirm that the recently proposed biomarker CXCL12 is associated with patient survival, independently of stage and optimal surgical debulking, which was possible only through meta-analysis owing to insufficient sample sizes of the individual studies. The database is implemented as the curatedOvarianData Bioconductor package for the R statistical computing language, providing a comprehensive and flexible resource for clinically oriented investigation of the ovarian cancer transcriptome. The package and pipeline for producing it are available from http://bcb.dfci.harvard.edu/ovariancancer. AU - Ganzfried, Benjamin Frederick AU - Riester, Markus AU - Haibe-Kains, Benjamin AU - Risch, Thomas AU - Tyekucheva, Svitlana AU - Jazic, Ina AU - Wang, Xin Victoria AU - Ahmadifar, Mahnaz AU - Birrer, Michael J. AU - Parmigiani, Giovanni AU - Huttenhower, Curtis AU - Waldron, Levi DA - 2013 DO - 10.1093/database/bat013 J2 - Database (Oxford) KW - *Databases, Genetic *Molecular Sequence Annotation Chemokine CXCL12/genetics Chromosome Mapping Data Mining/*methods Female Gene Expression Regulation, Neoplastic Humans Ovarian Neoplasms/*genetics Software Design Survival Analysis Transcriptome/*genetics L1 - internal-pdf://0379461075/Ganzfried-2013-curatedOvarianData_ clinically.pdf LA - eng PY - 2013 SN - 1758-0463 1758-0463 SP - bat013 ST - curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome T2 - Database : the journal of biological databases and curation TI - curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3625954/pdf/bat013.pdf VL - 2013 ID - 120 ER - TY - JOUR AB - Context. Neuroendocrine tumors can arise in almost all tissues and organs of the body. This systematic review focuses on neuroendocrine neoplasias of the digestive system and the pancreas, the so-called gastroenteropancreatic neuroendocrine tumors (GEP-NET). Objective. The aim of this study was an evidence-based systematic review of the current status of the diagnostics and therapy of GEP-NETs. Material and methods. A systematic literature search was performed in Pubmed, MEDLINE, current guidelines and by manual searching. Relevant publications from the last 5 years were analyzed and results were summarized in a structured review. Results. A novel grading and staging system for tumors of the digestive system was introduced by the World Health Organization (WHO) in 2010. By this system NETs are classified on the basis of the histologically deter-mined proliferation rate as NETs (grades III) and neuroendocrine carcinomas (grade III). Results from epidemiological studies indicate an increasing prevalence and incidence of GEP-NETs worldwide over recent decades; however, this may be a result of improved detection and diagnostic methods. A substantial improvement of detection has been achieved by the introduction of molecular imaging by positron emission tomography-computed tomography (PET-CT) imaging. Surgical removal and treatment with somatostatin analogues is the mainstay of therapeutic strategies for these tumors. Radiotherapy including stereotactic high-precision radiation can be used for local treatment of metastases. While there is currently no clear evidence, novel chemotherapeutic agents, small molecules, and biologicals can improve the prognosis of patients with GEP-NETs in the future. Conclusions. The WHO grading and staging system of 2010 supports the establishment of an individualized therapeutic strategy for each patient based on the tumor stage. Novel molecular tracers can be used in PET-CT imaging to detect even small tumors better and with a higher sensitivity. Surgical resection and medical treatment with somatostatin analogues represent central treatment strategies of GEP-NETs. Peptide receptor radionuclide therapy (PRRT) and novel pharmaceutical approaches, such as tyrosine kinase inhibitors and everolimus represent further therapeutic options. Treatment of neuroendocrine carcinomas (G3) with cisplatin and etoposide is still a valid treatment approach. AU - Laubner, K. AU - Brass, V. AU - Weber, W. AU - Seufert, J. DA - 2013/03// DO - 10.1007/s00761-013-2426-z IS - 3 PY - 2013 SN - 0947-8965 SP - 218-+ ST - Current diagnostics and therapy of gastroenteropancreatic neuroendocrine tumors (GEP-NET) T2 - Onkologe TI - Current diagnostics and therapy of gastroenteropancreatic neuroendocrine tumors (GEP-NET) UR - http://link.springer.com/article/10.1007%2Fs00761-013-2426-z VL - 19 ID - 2292 ER - TY - JOUR AU - Hartley, James DA - 2004 DP - Google Scholar IS - 3 L1 - internal-pdf://2821886205/Hartley-2004-Current findings from research on.pdf PY - 2004 SP - 368 ST - Current findings from research on structured abstracts T2 - Journal of the Medical Library Association TI - Current findings from research on structured abstracts UR - http://search.proquest.com/openview/7ff86474ddd2c1a8aab60898a0a258a8/1?pq-origsite=gscholar https://www.ncbi.nlm.nih.gov/pmc/articles/PMC442180/pdf/i0025-7338-092-03-0368.pdf VL - 92 Y2 - 2016/09/24/15:34:52 ID - 2331 ER - TY - JOUR AN - 104551549. Language: English. Entry Date: 20120515. Revision Date: 20150819. Publication Type: Journal Article DA - 2011/12// DB - c8h DP - EBSCOhost IS - 3 J2 - Journal of the Canadian Health Libraries Association (JCHLA) KW - Computerized Literature Searching Consumer Health Information data mining Decision Support Systems, Clinical Education, Dental Health Sciences Librarians Information Literacy Medical Literature Medical Practice, Evidence-Based Pediatrics Social Networks Systematic review N1 - abstract. Journal Subset: Canada; Computer/Information Science; Peer Reviewed. Special Interest: Evidence-Based Practice. NLM UID: 101229936. PY - 2011 SN - 1708-6892 SP - 155-156 ST - Current Research T2 - Journal of the Canadian Health Libraries Association (JCHLA) TI - Current Research UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=104551549&scope=site VL - 32 ID - 411 ER - TY - JOUR AB - In the information systems, customer relationship management (CRM) is the overall process of building and maintaining profitable customer relationships by delivering superior customer value and satisfaction with the goal of improving the business relationships with customers. Also, it is the strongest and the most efficient approach to maintaining and creating the relationships with customers. However, to the best of our knowledge and despite its importance, there is not any comprehensive and systematic study about reviewing and analyzing its important techniques. Therefore, in this paper, a comprehensive study and survey on the state of the art mechanisms in the scope of the CRM are done. It follows this goal by looking at five categories in which CRM plays a significant role: E-CRM, knowledge management, data mining, data quality and, social CRM. In each category, a couple of studies are presented and determinants of CRM are described and discussed. The major development in these five categories is reviewed and the new challenges are outlined. Also, a systematic literature review (SLR) in each of these five categories is provided. Furthermore, insights into the identification of open issues and guidelines for future research are provided. [All rights reserved Elsevier]. AU - Soltani, Z. AU - Navimipour, N. J. DA - 2016/08// DO - 10.1016/j.chb.2016.03.008 J2 - Computers in Human Behavior KW - Customer satisfaction data mining Information systems Knowledge management Recommender systems PY - 2016 SN - 0747-5632 SP - 667-88 ST - Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research T2 - Computers in Human Behavior TI - Customer relationship management mechanisms: A systematic review of the state of the art literature and recommendations for future research UR - http://dx.doi.org/10.1016/j.chb.2016.03.008 VL - 61 ID - 1503 ER - TY - JOUR AB - Structured reporting offers a number of theoretical advantages, perhaps the most important of which is creation of standardized report databases. The standardized data created can in turn be used to customize data display, report content, historical data retrieval, interpretation analysis, and results communication in both a context and user-specific manner. In addition, these referenceable report databases can be used to facilitate the practice of evidence based medicine, through data-driven meta-analysis and determination of best practice guidelines. This concept will only be realized if the customized data delivery technology provides real and tangible value to end users, accentuates workflow, can be seamlessly integrated into existing information system technologies, and be shown to yield reproducibility of the evidence domain. The time is here for the medical imaging and clinical communities to embrace this vision in order to improve clinical outcomes and patient safety. AU - Reiner, B. I. DA - 2010/08// DO - 10.1007/s10278-010-9307-4 IS - 4 J2 - Journal of Digital Imaging KW - biomedical imaging data mining information retrieval medical information systems PY - 2010 SN - 0897-1889 SP - 363-73 ST - Customization of medical report data T2 - Journal of Digital Imaging TI - Customization of medical report data UR - http://dx.doi.org/10.1007/s10278-010-9307-4 VL - 23 ID - 1523 ER - TY - CONF AB - Deployment of dense networks of low-power wireless sensors has been shown to be a cost effective approach to structural monitoring that can generate massive volumes of data. Building a specialized cyberinfrastructure system is an efficient way to store and organize large volumes of data (sensor and metadata) in addition to processing it. Availability of structure metadata (e.g., geometric details, material properties, inspection histories) further enhances the post-collection analysis of the data collected. In this paper, a comprehensive cyberinfrastructure and its associated computing technologies are proposed to serve as the backbone of large-scale permanent structural monitoring systems. A powerful data server called SenStore is described as the primary building block of the proposed cyberinfrastructure framework. This paper describes SenStore and its use in continuously monitoring the Telegraph Road Bridge (Monroe, MI) using a permanently installed wireless sensor network. AU - Zhang, Y. AU - O'Connor, S. M. AU - Lynch, J. P. AU - van der Linden, G. AU - Prakash, A. C3 - Computing in Civil Engineering. 2013 ASCE International Workshop on Computing in Civil Engineering, 23-25 June 2013 DA - 2013 KW - bridges (structures) condition monitoring data mining Inspection meta data structural engineering computing Wireless sensor networks PB - American Society of Civil Engineers PY - 2013 SP - 9-16 ST - Cyberinfrastructure Middleware and Analytical Tool Sets for Automated Mining of Massive Structural Health Monitoring Data Sets T3 - Computing in Civil Engineering. 2013 ASCE International Workshop on Computing in Civil Engineering. Proceedings TI - Cyberinfrastructure Middleware and Analytical Tool Sets for Automated Mining of Massive Structural Health Monitoring Data Sets ID - 1593 ER - TY - CONF AB - Introduction: The International Society for Advancement of Cytometry (ISAC) has created a standard for the Minimum Information about a Flow Cytometry Experiment (MIFlowCyt 1.0). CytometryML will serve as a common metadata standard for flow and image cytometry (digital microscopy). Methods: The MIFlowCyt data-types were created, as is the rest of CytometryML, in the XML Schema Definition Language (XSD1.1). The datatypes are primarily based on the Flow Cytometry and the Digital Imaging and Communication (DICOM) standards. A small section of the code was formatted with standard HTML formatting elements (p, h1, h2, etc.). Results:1) The part of MIFlowCyt that describes the Experimental Overview including the specimen and substantial parts of several other major elements has been implemented as CytometryML XML schemas (www.cytometryml.org). 2) The feasibility of using MIFlowCyt to provide the combination of an overview, table of contents, and/or an index of a scientific paper or a report has been demonstrated. Previously, a sample electronic publication, EPUB, was created that could contain both MIFlowCyt metadata as well as the binary data. Conclusions: The use of CytometryML technology together with XHTML5 and CSS permits the metadata to be directly formatted and together with the binary data to be stored in an EPUB container. This will facilitate: formatting, data- mining, presentation, data verification, and inclusion in structured research, clinical, and regulatory documents, as well as demonstrate a publication's adherence to the MIFlowCyt standard, promote interoperability and should also result in the textual and numeric data being published using web technology without any change in composition. AU - Leif, R. C. AU - Leif, S. H. C3 - Imaging, Manipulation and Analysis of Biomolecules, Cells and Tissues IX, 15-17 Feb. 2016 DA - 2016 DO - 10.1117/12.2218158 KW - biomedical optical imaging data mining medical image processing meta data XML L1 - internal-pdf://0315813605/Leif-2016-Cytometry metadata in XML.pdf PB - SPIE PY - 2016 SN - 1605-7422 SP - 971118-(7 pp.) ST - Cytometry metadata in XML T2 - Proceedings of the SPIE - Progress in Biomedical Optics and Imaging T3 - Proc. SPIE, Prog. Biomed. Opt. Imaging (USA) TI - Cytometry metadata in XML UR - http://dx.doi.org/10.1117/12.2218158 http://proceedings.spiedigitallibrary.org.ezproxy.lib.vt.edu/data/Conferences/SPIEP/87824/971118.pdf VL - 9711 ID - 1435 ER - TY - CHAP AB - Background Background Iron-deficiency anaemia is highly prevalent among non-pregnant women of reproductive age (menstruating women) worldwide, although the prevalence is highest in lower-income settings. Iron-deficiency anaemia has been associated with a range of adverse health outcomes, which restitution of iron stores using iron supplementation has been considered likely to resolve. Although there have been many trials reporting effects of iron in non-pregnant women, these trials have never been synthesised in a systematic review. Objectives Objectives To establish the evidence for effects of daily supplementation with iron on anaemia and iron status, as well as on physical, psychological and neurocognitive health, in menstruating women. Search methods Search methods In November 2015 we searched CENTRAL, Ovid MEDLINE, EMBASE, and nine other databases, as well as four digital thesis repositories. In addition, we searched the World Health Organization International Clinical Trials Registry Platform (WHO ICTRP) and reference lists of relevant reviews. Selection criteria Selection criteria We included randomised controlled trials (RCTs) and quasi-RCTs comparing daily oral iron supplementation with or without a cointervention (folic acid or vitamin C), for at least five days per week at any dose, to control or placebo using either individual- or cluster-randomisation. Inclusion criteria were menstruating women (or women aged 12 to 50 years) reporting on predefined primary (anaemia, haemoglobin concentration, iron deficiency, iron-deficiency anaemia, all-cause mortality, adverse effects, and cognitive function) or secondary (iron status measured by iron indices, physical exercise performance, psychological health, adherence, anthropometric measures, serum/plasma zinc levels, vitamin A status, and red cell folate) outcomes. Data collection and analysis Data collection and analysis We used the standard methodological procedures of Cochrane. Main results Main results The search strategy identified 31,767 records; after screening, 90 full-text reports were assessed for eligibility. We included 67 trials (from 76 reports), recruiting 8506 women; the number of women included in analyses varied greatly between outcomes, with endpoint haemoglobin concentration being the outcome with the largest number of participants analysed (6861 women). Only 10 studies were considered at low overall risk of bias, with most studies presenting insufficient details about trial quality. Women receiving iron were significantly less likely to be anaemic at the end of intervention compared to women receiving control (risk ratio (RR) 0.39 (95% confidence interval (CI) 0.25 to 0.60, 10 studies, 3273 women, moderate quality evidence). Women receiving iron had a higher haemoglobin concentration at the end of intervention compared to women receiving control (mean difference (MD) 5.30, 95% CI 4.14 to 6.45, 51 studies, 6861 women, high quality evidence). Women receiving iron had a reduced risk of iron deficiency compared to women receiving control (RR 0.62, 95% CI 0.50 to 0.76, 7 studies, 1088 women, moderate quality evidence). Only one study (55 women) specifically reported iron-deficiency anaemia and no studies reported mortality. Seven trials recruiting 901 women reported on 'any side effect' and did not identify an overall increased prevalence of side effects from iron supplements (RR 2.14, 95% CI 0.94 to 4.86, low quality evidence). Five studies recruiting 521 women identified an increased prevalence of gastrointestinal side effects in women taking iron (RR 1.99, 95% CI 1.26 to 3.12, low quality evidence). Six studies recruiting 604 women identified an increased prevalence of loose stools/diarrhoea (RR 2.13, 95% CI 1.10, 4.11, high quality evidence); eight studies recruiting 1036 women identified an increased prevalence of hard stools/constipation (RR 2.07, 95% CI 1.35 to 3.17, high quality evidence). Seven studies recruiting 1190 women identified evidence of an increased prevalence of abdominal pain among women randomised to iron (RR 1.55, 95% CI 0.99 to 2.41, low quality evidence). Eight studies recruiting 1214 women did not find any evidence of an increased prevalence of nausea among women randomised to iron (RR 1.19, 95% CI 0.78 to 1.82). Evidence that iron supplementation improves cognitive performance in women is uncertain, as studies could not be meta-analysed and individual studies reported conflicting results. Iron supplementation improved maximal and submaximal exercise performance, and appears to reduce symptomatic fatigue. Although adherence could not be formally meta-analysed due to differences in reporting, there was no evident difference in adherence between women randomised to iron and control. Authors' conclusions Authors' conclusions Daily iron supplementation effectively reduces the prevalence of anaemia and iron deficiency, raises haemoglobin and iron stores, improves exercise performance and reduces symptomatic fatigue. These benefits come at the expense of increased gastrointestinal symptomatic side effects. AU - Low, Michael Sze Yuan AU - Speedy, Joanna AU - Styles, Claire E. AU - De-Regil, Luz Maria AU - Pasricha, Sant-Rayn DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD009747.pub2/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2016 ST - Daily iron supplementation for improving anaemia, iron status and health in menstruating women T2 - Cochrane Database of Systematic Reviews TI - Daily iron supplementation for improving anaemia, iron status and health in menstruating women UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD009747.pub2/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD009747.pub2/full Y2 - 2016/09/18/20:15:38 ID - 421 ER - TY - CHAP AB - Clustering is considered as one of the most important techniques for data mining that is used for data analysis in some areas such as text identification, image processing, economic science, and spatial data analysis. Several algorithms have been proposed for solving the problem clustering. These algorithms are using different techniques. Firefly algorithm was inspired by the process of producing twinkle lights of this insect, and is considered as one of the designed base on a collective behavior of insects. In this paper, the evolutionary algorithm of Firefly is used for solving clustering problem. The proposed algorithm is compared with firefly algorithm, differential evolution algorithm and k-means algorithm on some important data sets from database UCI. According to the results, this algorithm is more appropriate for better clustering rather than firefly algorithm. Springer International Publishing Switzerland 2016. AU - Sadeghzadeh, Mehdi KW - Algorithms Bioluminescence Cluster Analysis Clustering algorithms data handling data mining Evolutionary algorithms Heuristic algorithms Image processing Information analysis Optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2016 SN - 21945357 SP - 801-809 ST - Data clustering using improved fire fly algorithm T2 - Information Technology: New Generations - 13th International Conference on Information Technology T3 - Advances in Intelligent Systems and Computing TI - Data clustering using improved fire fly algorithm UR - http://dx.doi.org/10.1007/978-3-319-32467-8_69 VL - 448 ID - 1221 ER - TY - JOUR AU - Jain, Anil K. AU - Murty, M. Narasimha AU - Flynn, Patrick J. DA - 1999 DP - Google Scholar IS - 3 L1 - http://eprints.iisc.ernet.in/273/01/p264-jain.pdf PY - 1999 SP - 264-323 ST - Data clustering T2 - ACM computing surveys (CSUR) TI - Data clustering: a review UR - http://dl.acm.org/citation.cfm?id=331504 VL - 31 Y2 - 2016/09/24/16:02:05 ID - 2405 ER - TY - CONF AB - Game traces are an important aspect of analysing how players interact with computer games and developing case based reasoning agents for such games. We present a computer vision based approach using screen capture for extracting such game traces. The system uses image templates of to identify and log changes in game state. The advantage of the system is that it only captures events which actually occur in a game and is robust in the face of multiple redundant commands and command cancellation. This paper demonstrates the use of such a vision based system to gather build orders from Starcraft 2 and compares the results generated with those produced by a system based on analysing log files of user actions. Our results show that the vision based system is capable of not only automatically retrieving data via screen capture, but does so more accurately and reliably than a system relying completely on recorded user interactions. Screen capture also allows access to data not otherwise available from an application. We show how screen capture can be used to retrieve data from the DotA 2 picking phase in real time. This data can be used to support meta-game activity, and guide in-game player behaviours. AU - Traish, Jason AU - Tulip, James AU - Moore, Wayne C3 - AISB Convention 2015, April 20, 2015 - April 22, 2015 DA - 2015 KW - Case based reasoning Computer games Computer vision N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB) PY - 2015 ST - Data collection with screen capture T3 - AISB Convention 2015 TI - Data collection with screen capture ID - 583 ER - TY - JOUR AB - Data analysis crisis is a major barrier to the advancement of analytical chemistry and scientific endeavors that utilize laboratory information. The crisis exists as the analytical chemist is not trained to use appropriate software that can effectively mine all the information from all of these data. Hardware vendors often equip their instruments with custom software applications ranging from data acquisition, data manipulation, and database management to univariate and multivariate modeling for calibration, prediction, and classification. The Unscrambler models are the underlying meta-data behind on-line tools that can be accessed by general users to generate forecasts, predictions, and classifications, through a Web browser. AU - Lundahl, David DA - 2004 IS - 6 J2 - American Laboratory KW - Chemical analysis COMPUTER software Database systems Data reduction Mathematical models Web browsers N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2004 SN - 00447749 SP - 38-39 ST - Data integration in crisis: Pulling the pieces together through advanced technology T2 - American Laboratory TI - Data integration in crisis: Pulling the pieces together through advanced technology VL - 36 ID - 518 ER - TY - BOOK AB - Today the serious casualties of Chinese coal mines happened frequently and caused great casualties and property losses. This situation is extremely associated with scarcity of advanced emergency management(EM) methods for emergences forecast&precaution and decision-making. Data integration of coal mine safety production (CMSP) system is the foundation of solving above problems. According to the multi-source and heterogeneous features of CMSP System, this paper analyzes several ways of data integrating, and concludes that the combination of data warehouse and middleware (named data-center) can solve the problems effectively. On this basis, a meta-framework model for coal mine EM system is established, and the data integration system for coal mine emergency decision-making is designed. At last, the conversion problem of heterogeneous-source data is analyzed. AU - Qi-dong, Pan AU - Rui-xin, Zhang AU - Dong-sheng, Duan AU - Gang, Sun DA - 2009 PY - 2009 SN - 978-0-7695-3930-0 ST - Data Integration Research of Coal Mine Safety Production System for Emergency Decision-making TI - Data Integration Research of Coal Mine Safety Production System for Emergency Decision-making ID - 2121 ER - TY - CONF AB - In this talk, I will discuss some of the latest data mining techniques and methods and their applications in bioinformatics study, focusing on data integration, text mining and graph-based data mining in bioinformatics research. In data integration, I will present a semantic-based approach for multi source bioinformatics data integration. In our approach, a metamodel is utilized to represent the master search schema, and an effective interface extraction algorithm based on the hierarchical structure of the web and pattern is developed to capture the rich semantic relationships of the online bioinformatics data sources. Our final goal is to develop a meta-search interface for biologists as a single point of access to multiple online bioinformatics databases. In text mining, some of the challenging issues in mining and searching the biomedical literature are addressed, and I will present a unified architecture Bio-SET-DM (Biomedical Literature Searching, Extraction and Text Data Mining), discuss some novel algorithms such as semantic-based language model for literature retrieval, semi-supervised pattern learning for information extraction of biological relationships from biomedical literature. In the third part, graph-based data mining, the focus is on graph-based mining in biological networks. I will discuss how to apply graph-based mining techniques and algorithms in the analysis of modular and hierarchical structure of biological networks, how to identify and evaluate the subnetworks from complicated biological networks, and present the experimental results. To put these pieces together, a unified framework is introduced to integrate the three parts (data integration, text mining and graph-based data mining) in the bioinformatics data mining procedure. AU - Xiaohua, Hu C3 - 2011 IEEE International Conference on Granular Computing, 8-10 Nov. 2011 DA - 2011 DO - 10.1109/GRC.2011.6122559 KW - bioinformatics data mining Graph theory information retrieval Internet learning (artificial intelligence) literature pattern clustering text analysis User interfaces PB - IEEE PY - 2011 SP - 3 ST - Data mining and its applications in bioinformatics: Techniques and methods T3 - 2011 IEEE International Conference on Granular Computing TI - Data mining and its applications in bioinformatics: Techniques and methods UR - http://dx.doi.org/10.1109/GRC.2011.6122559 ID - 1843 ER - TY - JOUR AB - Microarray technology enables high-throughput parallel gene expression analysis, and use has grown exponentially thanks to the development of a variety of applications for expression, genetics and epigenetic studies. A wealth of data is now available from public repositories, providing unprecedented opportunities for meta-analysis approaches, which could generate new biological information, unrelated to the original scope of individual studies. This study provides a guideline for identification of biological significance of the statistically-selected differentially-expressed genes derived from gene expression arrays as well as to suggest further analysis pathways. The authors review the prerequisites for data-mining and meta-analysis, summarize the conceptual methods to derive biological information from microarray data and suggest software for each category of data mining or meta-analysis. AU - Paparountas, T. AU - Nikolaidou-Katsaridou, M. N. AU - Rustici, G. AU - Aidinis, V. DA - 2012/07// DO - 10.4018/ijsbbt.2012070101 IS - 3 J2 - International Journal of Systems Biology and Biomedical Technologies KW - biology computing data mining parallel processing PY - 2012 SN - 2160-9586 SP - 1-39 ST - Data Mining and Meta-Analysis on DNA Microarray Data T2 - International Journal of Systems Biology and Biomedical Technologies TI - Data Mining and Meta-Analysis on DNA Microarray Data UR - http://dx.doi.org/10.4018/ijsbbt.2012070101 VL - 1 ID - 1878 ER - TY - JOUR AU - Van Deusen, Adrian AU - Dias, Alvaro DA - 2010/12// IS - 4 PY - 2010 SN - 1090-0586 SP - 318-318 ST - A Data Mining Approach to Biofeedback The Role of Neurofeedback T2 - Applied Psychophysiology and Biofeedback TI - A Data Mining Approach to Biofeedback The Role of Neurofeedback VL - 35 ID - 1960 ER - TY - CONF A2 - Siu, B. A2 - Kwan, P. K. M. A2 - Lam, B. A2 - de Vries, P. AB - The following topics were dealt with: data warehouse performance management techniques; developing applications using object/relational DBMS technology; emerging technologies for business intelligence; the data warehouse approach; data warehouses and meta-data management; real-time client/server OLAP for multidimensional financial and business analysis; advanced technology for data warehouse solutions; applying data mining techniques to exploit information from your data warehouse or data mart; data mining software that finds patterns never seen before; data warehouse ownership responsibilities; data warehouse key components and process (using a rational approach to build a data warehouse); successful data warehousing by driving value from your meta-data initiative; building a data warehouse (methodology and return on investment); a semantic layer for data warehousing; moving data warehouses to the Internet; parallel databases; data mining in the age of object/relational DBMSs; aligning IT with a consumer-oriented business; creating a successful data warehouse; using the World Wide Web to transform data into knowledge; an intelligent business workbench for the insurance industry using data mining to improve decision-making and performance; discovering missing semantics from existing relational databases; and a CGI-SGML approach to client/server Web database design and implementation. C3 - Proceedings of 8th International Hong Kong Computer Society Database Workshop. Data Mining, Data Warehousing and Client/Server Databases ISBN, 29-31 July 1997 DA - 1997 KW - data analysis deductive databases distributed databases Knowledge acquisition very large databases PB - Springer-Verlag Singapore PY - 1997 SP - xii+303 ST - Data Mining Data Warehousing and Client/Server Databases. Proceedings of the 8th International Database Workshop (Industrial Volume) TI - Data Mining Data Warehousing and Client/Server Databases. Proceedings of the 8th International Database Workshop (Industrial Volume) ID - 1746 ER - TY - JOUR AU - Thelwall, Mike AU - Wilkinson, David AU - Uppal, Sukhvinder DA - 2010 DP - Google Scholar IS - 1 PY - 2010 SP - 190-199 ST - Data mining emotion in social network communication T2 - Journal of the American Society for Information Science and Technology TI - Data mining emotion in social network communication: Gender differences in MySpace UR - http://onlinelibrary.wiley.com/doi/10.1002/asi.21180/full VL - 61 Y2 - 2016/09/24/16:08:30 ID - 2450 ER - TY - JOUR AB - Diabetes is the most common disease nowadays in all populations and in all age groups. diabetes contributing to heart disease, increases the risks of developing kidney disease, blindness, nerve damage, and blood vessel damage. Diabetes disease diagnosis via proper interpretation of the diabetes data is an important classification problem. Different techniques of artificial intelligence has been applied to diabetes problem. The purpose of this study is apply the artificial meta plasticity on multilayer perceptron (AMMLP) as a data mining (DM) technique for the diabetes disease diagnosis. The Pima Indians diabetes was used to test the proposed model AMMLP. The results obtained by AMMLP were compared with decision tree (DT), Bayesian classifier (BC) and other algorithms, recently proposed by other researchers, that were applied to the same database. The robustness of the algorithms are examined using classification accuracy, analysis of sensitivity and specificity, confusion matrix. The results obtained by AMMLP are superior to obtained by DT and BC. AU - Marcano-Cedeno, Alexis AU - Andina, Diego DA - 2012 PY - 2012 ST - Data mining for the diagnosis of type 2 diabetes T2 - 2012 World Automation Congress (wac) TI - Data mining for the diagnosis of type 2 diabetes ID - 1991 ER - TY - JOUR AU - Chen, Feng AU - Deng, Pan AU - Wan, Jiafu AU - Zhang, Daqiang AU - Vasilakos, Athanasios V. AU - Rong, Xiaohui DA - 2015 DP - Google Scholar L1 - http://downloads.hindawi.com/journals/ijdsn/2015/431047.pdf internal-pdf://2625518593/Chen-2015-Data mining for the internet of thin.pdf PY - 2015 SP - 12 ST - Data mining for the internet of things T2 - International Journal of Distributed Sensor Networks TI - Data mining for the internet of things: literature review and challenges UR - http://dl.acm.org/citation.cfm?id=2836436 VL - 2015 Y2 - 2016/09/24/16:09:56 ID - 2467 ER - TY - BOOK AB - This paper firstly analyzes the reason why data mining should be implemented in CIM (Computer Integrated Manufacturing) system. Secondly current developments about data mining frameworks are introduced. CIMSMiner is a framework for cooperative manufacturing, which combines the practical requirements of CIM system with the new evolution of data mining. The logical architecture, system objectives and system architectures are described in detail respectively. Its logical architecture includes data obtaining layer, data storing layer and data mining layer. The system architecture is based on C/S. The server is mainly composed of data pumping engine, data warehouse and meta-database, and the client mainly includes algorithms tools set, algorithms primitives and data warehouse manager. CIMSMiner supports many novel algorithms, such as evolving association rule and multi-group genetic algorithm. CIMSMiner may promote CIM system development to the future intelligent CIM system that has the decision support ability. AU - Pi, Dechang AU - Zhang, Fenglin AU - Wang, Ningsheng AU - Qin, Xiaolin DA - 2006 PY - 2006 SN - 978-7-81077-802-2 ST - A data mining framework oriented CIM for cooperative manufacturing TI - A data mining framework oriented CIM for cooperative manufacturing ID - 2002 ER - TY - JOUR AU - Chen, Sherry Y. AU - Liu, Xiaohui DA - 2005 DP - Google Scholar IS - 1 PY - 2005 SP - 4-21 ST - Data mining from 1994 to 2004 T2 - International Journal of Business Intelligence and Data Mining TI - Data mining from 1994 to 2004: an application-orientated review UR - http://www.inderscienceonline.com/doi/abs/10.1504/IJBIDM.2005.007315 VL - 1 Y2 - 2016/09/24/16:07:56 ID - 2436 ER - TY - CONF AB - Nowadays, more and more databases are distributed in networks. To produce knowledge with the databases, traditional data mining technology should be developed in model, algorithm, strategy, etc. The popular distributed data mining (DDM) systems are introduced and classified into three classes: DDM systems based on parallel data mining agents, DDM systems based on meta-learning, and DDM systems based on Grid. According to the analysis of the three main classes of DDM systems, the main problems decreasing the system utility are concluded; a novel DDM model and the related knowledge integrating model are proposed. AU - Bin, Liu AU - Shu-Gui, Cao AU - Xiao-Li, Jia AU - Zhao-Hua, Zhi C3 - 2010 International Conference on Machine Learning and Cybernetics (ICMLC 2010), 11-14 July 2010 DA - 2010 DO - 10.1109/ICMLC.2010.5581024 KW - Database management systems data mining Grid computing PB - IEEE PY - 2010 SP - 421-6 ST - Data mining in distributed data environment T3 - 2010 International Conference on Machine Learning and Cybernetics (ICMLC 2010) TI - Data mining in distributed data environment UR - http://dx.doi.org/10.1109/ICMLC.2010.5581024 VL - vol.1 ID - 1867 ER - TY - CHAP A2 - Grossman, R. L. A2 - Kamath, C. A2 - Kegelmeyer, P. A2 - Kumar, V. A2 - Namburu, R. R. AB - The rapid increase in the volume of scientific data sets has resulted in distributed data information systems applicable to Earth system science. Such a system should help users to locate data sets, to provide preliminary research results quickly and to support data deliveries under users' request. At George Mason University, we have been developing a data information system with both search and analysis components. In this system, three phases of data accesses are supported: phase one for meta-data search; phase two for on-line data analysis; and phase three for data ordering. For large volumes of data, searching on meta-data only will not be adequate. Scientists often need to search for data based on actual data values. This is a particular kind of data mining, which searches for data sets based on data content. In this chapter, we first describe the system architecture. We then develop the concept of a data pyramid model and propose a histogram clustering technique for content-based searches. We use the model and the related technique to answer content-based queries approximately but efficiently. We will also describe our prototypes that integrate the content-based searches into a data information system. AU - Yang, R. X. AU - Kafatos, M. AU - Yang, K. S. AU - Wang, X. S. PY - 2001 SN - 1-4020-0033-2 SP - 183-199 ST - Data mining in integrated data access and data analysis systems T2 - Data Mining for Scientific and Engineering Applications TI - Data mining in integrated data access and data analysis systems VL - 2 ID - 2010 ER - TY - JOUR AU - Choudhary, Alok Kumar AU - Harding, Jenny A. AU - Tiwari, Manoj Kumar DA - 2009 DP - Google Scholar IS - 5 L1 - https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/9795/9/Data%20mining_review%20Paper_JIM_final_accepted.pdf internal-pdf://0371653516/Choudhary-2009-Data mining in manufacturing_ a.pdf PY - 2009 SP - 501-521 ST - Data mining in manufacturing T2 - Journal of Intelligent Manufacturing TI - Data mining in manufacturing: a review based on the kind of knowledge UR - http://link.springer.com/article/10.1007/s10845-008-0145-x VL - 20 Y2 - 2016/09/24/15:32:42 ID - 2314 ER - TY - JOUR AU - Mitra, Sushmita AU - Pal, Sankar K. AU - Mitra, Pabitra DA - 2002 DP - Google Scholar IS - 1 L1 - http://cs.nju.edu.cn/zhouzh/zhouzh.files/course/dm/reading/reading05/mitra_tnn02.pdf PY - 2002 SP - 3-14 ST - Data mining in soft computing framework T2 - IEEE transactions on neural networks TI - Data mining in soft computing framework: a survey UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=977258 http://ieeexplore.ieee.org/document/977258/ VL - 13 Y2 - 2016/09/24/16:09:56 ID - 2462 ER - TY - JOUR AU - Iskander, John AU - Pool, Vitali AU - Zhou, Weigong AU - English-Bullard, Roseanne DA - 2006 DP - Google Scholar IS - 5 PY - 2006 SP - 375-384 ST - Data mining in the US using the vaccine adverse event reporting system T2 - Drug safety TI - Data mining in the US using the vaccine adverse event reporting system UR - http://link.springer.com/article/10.2165/00002018-200629050-00002 VL - 29 Y2 - 2016/09/24/16:03:41 ID - 2407 ER - TY - JOUR AB - The paper describes the first steps in analysis of millions of baskets collected over the past year from a retail grocery chain containing hundreds of stores (2000-2001). Each record in the data set represents an individual item processed by an individual checkout laser scanner at a particular store at a particular time on a particular day. In order to get some insights into the data, we used several different approaches, including statistical analysis, machine learning, and data mining methods. The sheer size of the data set has forced us to go beyond usual data mining methods and utilize Meta-Mining: the post processing of the results of basic analysis methods. AU - Mladenic, D. AU - Eddy, W. F. AU - Ziolko, S. DA - 2001/10// IS - 3 J2 - Informatica KW - data mining learning (artificial intelligence) retail data processing statistical analysis very large databases PY - 2001 SN - 0350-5596 SP - 365-9 ST - Data mining of baskets collected at different locations over one year T2 - Informatica TI - Data mining of baskets collected at different locations over one year VL - 25 ID - 1863 ER - TY - JOUR AB - The expected five-year survival rate from a stage III ovarian cancer diagnosis is a mere 22%; this applies to the 7000 new cases diagnosed yearly in the UK. Stratification of patients with this heterogeneous disease, based on active molecular pathways, would aid a targeted treatment improving the prognosis for many cases. While hundreds of genes have been associated with ovarian cancer, few have yet been verified by peer research for clinical significance. Here, a meta-analysis approach was applied to two carefully selected gene expression microarray datasets. Artificial neural networks, Cox univariate survival analyses and T-tests identified genes whose expression was consistently and significantly associated with patient survival. The rigor of this experimental design increases confidence in the genes found to be of interest. A list of 56 genes were distilled from a potential 37,000 to be significantly related to survival in both datasets with a FDR of 1.39859 10-11, the identities of which both verify genes already implicated with this disease and provide novel genes and pathways to pursue. Further investigation and validation of these may lead to clinical insights and have potential to predict a patient's response to treatment or be used as a novel target for therapy. AU - Coveney, C. AU - Boocock, D. J. AU - Rees, R. C. AU - Deen, S. AU - Ball, G. R. DA - 2015/09// DO - 10.3390/microarrays4030324 IS - 3 J2 - Microarrays KW - Biological organs Cancer data mining gene therapy medical diagnostic computing neural nets patient diagnosis tumours L1 - internal-pdf://4057784573/Coveney-2015-Data mining of gene arrays for bi.pdf PY - 2015 SN - 2076-3905 SP - 324-38 ST - Data mining of gene arrays for biomarkers of survival in ovarian cancer T2 - Microarrays TI - Data mining of gene arrays for biomarkers of survival in ovarian cancer UR - http://dx.doi.org/10.3390/microarrays4030324 http://www.mdpi.com/2076-3905/4/3/324/pdf VL - 4 ID - 1822 ER - TY - CHAP A2 - Nakamori, Y. AB - Data mining is one of the techniques that are widely used for supporting diverse business tasks. However, the process of building data mining models and transforming results of models execution into useful business knowledge is a complex process that is a result of a synthesis of the knowledge of a group of experts. This process is mostly intuitive and requires development of new scientific methods. Systemic synthesis might be one of the driving forces of such development. For example, recently the Domain-Driven Data Mining methodology has proposed to apply meta-synthesis. In this chapter, examples of applying systemic synthesis in data mining in telecommunication domain are presented. AU - Granat, Janusz PY - 2016 SN - 978-4-431-55218-5 978-4-431-55217-8 SP - 41-54 ST - Data Mining of Telecommunications Data as an Example of Systemic Synthesis T2 - Knowledge Synthesis: Western and Eastern Cultural Perspectives TI - Data Mining of Telecommunications Data as an Example of Systemic Synthesis VL - 5 ID - 1968 ER - TY - JOUR AU - Sakaeda, Toshiyuki AU - Tamon, Akiko AU - Kadoyama, Kaori AU - Okuno, Yasushi DA - 2013 DP - Google Scholar IS - 7 PY - 2013 SP - 796-803 ST - Data mining of the public version of the FDA Adverse Event Reporting System T2 - Int J Med Sci TI - Data mining of the public version of the FDA Adverse Event Reporting System UR - http://www.medsci.org/v10p0796.htm VL - 10 Y2 - 2016/09/24/16:03:41 ID - 2408 ER - TY - JOUR AB - Purpose Data mining on electronic health records (EHRs) has emerged as a promising complementary method for post-marketing drug safety surveillance. The EU-ADR project, funded by the European Commission, is developing techniques that allow mining of EHRs for adverse drug events across different countries in Europe. Since mining on all possible events was considered to unduly increase the number of spurious signals, we wanted to create a ranked list of high-priority events. Methods Scientific literature, medical textbooks, and websites of regulatory agencies were reviewed to create a preliminary list of events that are deemed important in pharmacovigilance. Two teams of pharmacovigilance experts independently rated each event on five criteria: 'trigger for drug withdrawal', 'trigger for black box warning', 'leading to emergency department visit or hospital admission', 'probability of event to be drug-related', and 'likelihood of death'. In case of disagreement, a consensus score was obtained. Ordinal scales between 0 and 3 were used for rating the criteria, and an overall score was computed to rank the events. Results An initial list comprising 23 adverse events was identified. After rating all the events and calculation of overall scores, a ranked list was established. The top-ranking events were: cutaneous bullous eruptions, acute renal failure, anaphylactic shock, acute myocardial infarction, and rhabdomyolysis. Conclusions A ranked list of 23 adverse drug events judged as important in pharmacovigilance was created to permit focused data mining. The list will need to be updated periodically as knowledge on drug safety evolves and new issues in drug safety arise. Copyright (C) 2009 John Wiley & Sons, Ltd. AU - Trifiro, Gianluca AU - Pariente, Antoine AU - Coloma, Preciosa M. AU - Kors, Jan A. AU - Polimeni, Giovanni AU - Miremont-Salame, Ghada AU - Catania, Maria Antonietta AU - Salvo, Francesco AU - David, Anaelle AU - Moore, Nicholas AU - Caputi, Achille Patrizio AU - Sturkenboom, Miriam AU - Molokhia, Mariam AU - Hippisley-Cox, Julia AU - Acedo, Carlos Diaz AU - van der Lei, Johan AU - Fourrier-Reglat, Annie DA - 2009/12// DO - 10.1002/pds.1836 IS - 12 PY - 2009 SN - 1053-8569 SP - 1176-1184 ST - Data mining on electronic health record databases for signal detection in pharmacovigilance: which events to monitor? T2 - Pharmacoepidemiology and Drug Safety TI - Data mining on electronic health record databases for signal detection in pharmacovigilance: which events to monitor? VL - 18 ID - 1997 ER - TY - JOUR AB - The Data Mining OPtimization Ontology (DMOP) has been developed to support informed decision-making at various choice points of the data mining process. The ontology can be used by data miners and deployed in ontology-driven information systems. The primary purpose for which DMOP has been developed is the automation of algorithm and model selection through semantic meta-mining that makes use of an ontology-based meta-analysis of complete data mining processes in view of extracting patterns associated with mining performance. To this end, DMOP contains detailed descriptions of data mining tasks (e.g., learning, feature selection), data, algorithms, hypotheses such as mined models or patterns, and workflows. A development methodology was used for DMOP, including items such as competency questions and foundational ontology reuse. Several non-trivial modeling problems were encountered and due to the complexity of the data mining details, the ontology requires the use of the OWL 2 DL profile. DMOP was successfully evaluated for semantic meta-mining and used in constructing the Intelligent Discovery Assistant, deployed at the popular data mining environment RapidMiner. 2015 Elsevier B.V. AU - Keet, C. Maria AU - Lawrynowicz, Agnieszka AU - D'Amato, Claudia AU - Kalousis, Alexandros AU - Nguyen, Phong AU - Palma, Raul AU - Stevens, Robert AU - Hilario, Melanie DA - 2015 DO - 10.1016/j.websem.2015.01.001 J2 - Journal of Web Semantics KW - Birds data mining decision making ontology Semantics Semantic Web L1 - internal-pdf://3616003364/Keet-2015-The Data Mining OPtimization Ontolog.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 15708268 SP - 43-53 ST - The Data Mining OPtimization Ontology T2 - Journal of Web Semantics TI - The Data Mining OPtimization Ontology UR - http://dx.doi.org/10.1016/j.websem.2015.01.001 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1570826815000025/1-s2.0-S1570826815000025-main.pdf?_tid=68a5465c-833e-11e6-abf7-00000aacb360&acdnat=1474821655_bc328510964e1c0ceefb3717db515e1d VL - 32 ID - 1869 ER - TY - CONF AB - Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidden) knowledge for improving business processes, the application of data mining technology is the only way to reach good and efficient results, as opposed to purely manual and interactive data exploration. This paper reports on a project initiated at Swiss Life for mining its data resources from the life insurance business. Based on the data warehouse MASY collecting all relevant data from the OLTP systems for the processing of private life insurance contracts, a data mining environment is set up which integrates a palette of tools for automatic data analysis, in particular machine learning approaches. Special emphasis lies in establishing comfortable data pre-processing support for normalised relational databases and on the management of meta-data. AU - Staudt, M. AU - Kietz, J. U. AU - Reimer, U. C3 - Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 27-31 Aug. 1998 DA - 1998 KW - business data processing data analysis data mining Data warehouses insurance data processing learning (artificial intelligence) meta data relational databases PB - AAAI Press PY - 1998 SP - 105-11 ST - A data mining support environment and its application on insurance data T3 - Proceedings Fourth International Conference on Knowledge Discovery and Data Mining TI - A data mining support environment and its application on insurance data ID - 1856 ER - TY - JOUR AB - Controlled randomized clinical trials and meta-analyses show that stroke patients benefit from access to specialized Stroke Units, in terms of mortality, disability and dependency. However, many issues relating to stroke diagnosis and therapy and to the organization of stroke care remain to be solved and little is known about what interventions make Stroke Units more effective. It is also agreed that compliance with clinical practice guidelines improves health outcomes for these patients, but little is known about the relative weight of the different guideline recommendations. Over the last decade, many hospital- or population-based stroke registers have been set up with the aim of identifying specific key indicators able to monitor the quality and adequacy of acute stroke care. Registers seem to be adequate tools for collecting the data needed to analyze care processes, providing data useful for both national healthcare planning and scientific research. In this paper we applied data mining techniques to data collected within the stroke register of the Lombardia region in Italy. From our analyses both expected and unexpected results have been found: not always compliance to recommendations is related to a good patients' outcome. AU - Panzarasa, Silvia AU - Quaglini, Silvana AU - Sacchi, Lucia AU - Cavallini, Anna AU - Micieli, Giuseppe AU - Stefanelli, Mario DA - 2010 IS - Pt 2 J2 - Stud Health Technol Inform KW - Data Mining/*methods Delivery of Health Care Hospitals Humans Italy Stroke/*diagnosis/therapy Treatment Outcome LA - eng PY - 2010 SN - 0926-9630 0926-9630 SP - 939-943 ST - Data mining techniques for analyzing stroke care processes T2 - Studies in health technology and informatics TI - Data mining techniques for analyzing stroke care processes VL - 160 ID - 262 ER - TY - JOUR AB - Arousals are considered one of the main causes of daytime sleepiness. They impede the proper flow of sleep cycles and cause weariness. Manual scoring of arousals is time-consuming, requires expert knowledge, and has high inter-scorer variability. A major difficulty in detecting arousals automatically is the existing variance across patients. Based on data mining techniques, we present a different approach to the automatic detection of arousals that overcomes the hurdle of differences in signal characteristics across patients. Offline we used a training-set of adult patients to define a set of general rules to detect arousals (termed meta-rules). This was done by analyzing the correlations between occurrences of arousals and the EEG, EMG, pulse and SaO2 signals as follows: (1) each signal was mathematically projected into several spaces (termed projected-signals); (2) from each such projected-signa 1, the algorithm extracted time points that indicated meaningful changes (termed critical-points); (3) data mining techniques were applied to all the critical-points to discover patterns of repeating behavior; (4) classes of patterns which were highly correlated with manually scored arousals were formalized as meta-rules. Online we used a test-set of adult patients from two other different sleep laboratories. Using the meta-rules, the algorithm extracted individual rules for each patient (termed actual-rules), and used them to automatically detect the patients' arousals. These arousals were significantly correlated (R = 0.88,p < 0.0001; sensitivity = 75.2%, positive predictive value = 76.5%) with those detected manually by experts. Since the total number of arousals is a measure of sleep quality, this algorithm constitutes a novel approach to automatically estimate sleep quality. (C) 2009 Elsevier B.V. All rights reserved. AU - Shmiel, Oren AU - Shmiel, Tomer AU - Dagan, Yaron AU - Teicher, Mina DA - 2009/05/15/ DO - 10.1016/j.jneumeth.2009.01.035 IS - 2 PY - 2009 SN - 0165-0270 SP - 331-337 ST - Data mining techniques for detection of sleep arousals T2 - Journal of Neuroscience Methods TI - Data mining techniques for detection of sleep arousals VL - 179 ID - 2004 ER - TY - CONF AB - The main purpose of this paper is to show a data mining-based approach to tackle the problem of tuning the performance of a meta-heuristic search algorithm with respect to its parameters. The operational behavior of typical meta-heuristic search algorithms is determined by a set of control parameters, which have to be fine-tuned in order to obtain a best performance for a given problem. The principle challenge here is how to provide meaningful settings for an algorithm, obtained as result of better insight in its behavior. In this context, we discuss the idea of learning a model of an algorithm behavior by data mining analysis of parameter tuning results. The study was conducted using the Differential Ant-Stigmergy Algorithm as an example meta-heuristic search algorithm. AU - ilc, Jurij AU - Takova, Katerina AU - Koroec, Peter DA - 2015 KW - Algorithms data mining Heuristic algorithms Learning algorithms Modular robots Parameter estimation L1 - internal-pdf://3995579755/ilc-2015-Data mining-assisted parameter tuning.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Slovene Society Informatika PY - 2015 SN - 03505596 SP - 169-176 ST - Data mining-assisted parameter tuning of a search algorithm T3 - Informatica (Slovenia) TI - Data mining-assisted parameter tuning of a search algorithm VL - 39 ID - 1753 ER - TY - JOUR AU - Chen, Ming-Syan AU - Han, Jiawei AU - Yu, Philip S. DA - 1996 DP - Google Scholar IS - 6 L1 - http://cs.nju.edu.cn/zhouzh/zhouzh.files/course/dm/reading/reading01/chen_tkde96.pdf PY - 1996 SP - 866-883 ST - Data mining T2 - IEEE Transactions on Knowledge and data Engineering TI - Data mining: an overview from a database perspective UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=553155 http://ieeexplore.ieee.org/document/553155/ VL - 8 Y2 - 2016/09/24/16:06:07 ID - 2424 ER - TY - BOOK AU - Kantardzic, Mehmed DA - 2011 DP - Google Scholar PB - John Wiley & Sons PY - 2011 ST - Data mining TI - Data mining: concepts, models, methods, and algorithms UR - https://books.google.com/books?hl=en&lr=&id=ZZ7l6v0CvRMC&oi=fnd&pg=PA1&dq=data+mining+systematic+reviews&ots=pNAjtjsEGg&sig=c5ayMm4R7LH0pNOFLOyBbPhE_UU https://books.google.com/books?hl=en&lr=&id=ZZ7l6v0CvRMC&oi=fnd&pg=PA1&dq=data+mining+systematic+reviews&ots=pNAjtjsEGg&sig=c5ayMm4R7LH0pNOFLOyBbPhE_UU#v=onepage&q&f=false Y2 - 2016/09/24/16:00:21 ID - 2395 ER - TY - JOUR AB - As a product or technology area, data mining, or guided data analysis, appears to have generated the high-tech equivalent of the California Gold Rush. Gartner Group forecasts at least half of the Fortune 1000 worldwide will be using data-mining technology by 2000 when Meta Group expects sales of data-mining tools to reach $800 million-an eight-fold increase from 1996. But data mining, like panning for gold, can either be a rewarding exercise in probing intelligently to precisely locate what is valuable, or a frustrating time-waster, sitting fruitlessly through immense amounts of material. Amid the hoopla, it may be helpful to pause for some context, explanation and pitfall warnings. AU - Tsuji, B. DA - 1999/02// IS - 2 J2 - Electronic Commerce World KW - data mining PY - 1999 SN - 1092-0366 SP - 30-1 ST - Data mining: the information gold rush T2 - Electronic Commerce World TI - Data mining: the information gold rush VL - 9 ID - 1692 ER - TY - JOUR AB - Data profiling comprises a broad range of methods to efficiently analyze a given data set. In a typical scenario, which mirrors the capabilities of commercial data profiling tools, tables of a relational database are scanned to derive metadata, such as data types and value patterns, completeness and uniqueness of columns, keys and foreign keys, and occasionally functional dependencies and association rules. Individual research projects have proposed several additional profiling tasks, such as the discovery of inclusion dependencies or conditional functional dependencies. Data profiling deserves a fresh look for two reasons: First, the area itself is neither established nor defined in any principled way, despite significant research activity on individual parts in the past. Second, more and more data beyond the traditional relational databases are being created and beg to be profiled. The article proposes new research directions and challenges, including interactive and incremental profiling and profiling heterogeneous and non-relational data. AU - Naumann, F. DA - 2013/12// IS - 4 J2 - SIGMOD Record KW - data analysis data mining meta data relational databases PY - 2013 SN - 0163-5808 SP - 40-9 ST - Data Profiling Revisited T2 - SIGMOD Record TI - Data Profiling Revisited VL - 42 ID - 1208 ER - TY - CONF AB - Nowadays, activities and decisions making in an organization is based on data and information obtained from data analysis, which provides various services for constructing reliable and accurate process. As data are significant resources in all organizations the quality of data is critical for managers and operating processes to identify related performance issues. Moreover, high quality data can increase opportunity for achieving top services in an organization. However, identifying various aspects of data quality from definition, dimensions, types, strategies, techniques are essential to equip methods and processes for improving data. This paper focuses on systematic review of data quality dimensions in order to use at proposed framework which combining data mining and statistical techniques to measure dependencies among dimensions and illustrate how extracting knowledge can increase process quality. AU - Sidi, F. AU - Shariat Panahy, P. H. AU - Affendey, L. S. AU - Jabar, M. A. AU - Ibrahim, H. AU - Mustapha, A. C3 - 2012 International Conference on Information Retrieval & Knowledge Management (CAMP), 13-15 March 2012 DA - 2012 DO - 10.1109/InfRKM.2012.6204995 KW - data analysis data mining organisational aspects statistical analysis PB - IEEE PY - 2012 SP - 300-4 ST - Data quality: a survey of data quality dimensions T3 - 2012 International Conference on Information Retrieval Knowledge Management (CAMP) TI - Data quality: a survey of data quality dimensions UR - http://dx.doi.org/10.1109/InfRKM.2012.6204995 ID - 1115 ER - TY - JOUR AU - Sorace, James M. AU - Zhan, Min DA - 2003 DP - Google Scholar IS - 1 PY - 2003 SP - 1 ST - A data review and re-assessment of ovarian cancer serum proteomic profiling T2 - BMC bioinformatics TI - A data review and re-assessment of ovarian cancer serum proteomic profiling UR - http://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-4-24 VL - 4 Y2 - 2016/09/24/16:07:04 ID - 2435 ER - TY - CHAP A2 - Shi, Y. A2 - Dongarra, J. A2 - Sloot, P. M. A. AB - Clustering analysis is an important data mining technique with a variety of applications. In this paper, the data set is treated in a dynamic way and a Data Set Homeomorphism Transformation Based Meta-Clustering algorithm (DSHTBMC) is proposed. DSHTBMC decomposes the task of clustering into multiple stages. It firstly constructs a series of homeomorphous data sets ranging from high regularity to low, and then iteratively clusters each homeomorphism data set based on the clustering result of the preceding homeomorphism data set. Since data sets of high regularities are easier to be clustered, and the clustering result of each homeomorphism data set can be used to induce high quality clusters in the following-up homeomorphism data set, in this way, the hardness of the problem is decreased. Two strategies (i.e., Displacement and Noising) for data set homeomorphism transformation are proposed, with classical hierarchical divisive method-Bisecting k-means as DSHTBMC's subordinate clustering algorithm, two new clustering algorithms----HD-DSHTBMC-D and HD-DSHTBMC-N are obtained. Experimental results indicate that the new clustering algorithms are remarkably better than Bisecting k-means algorithm in terms of clustering quality. AU - Zhang, Xianchao AU - Zong, Yu AU - Jiang, He AU - Liu, Xinyue PY - 2007 SN - 978-3-540-72587-9 SP - 661-668 ST - Data set homeomorphism transformation based meta-clustering T2 - Computational Science - Iccs 2007, Pt 3, Proceedings TI - Data set homeomorphism transformation based meta-clustering VL - 4489 ID - 2078 ER - TY - RPRT AB - Since Network Centric Warfare (NCW) theory stresses shared understanding, command dispersal, and improved situational awareness does it not follow then, that data availability, mining, and superior analytics must be available at all policy and command levels to support superior decision making. Analyzing the anticipated massive amount of GIG data will almost certainly require data warehouses and federated data warehouses. The central question being addressed here is: Will a new Data Warehouse Paradigm be required for Network Centric Warfare Service Oriented Architectures (SOA). This research attempts to answer this question by analyzing Service Oriented Architecture (SOA) based Virtual Data Warehouses, Corporate Information Factories, and SOA based federated data warehouses. The research concludes that Composeable Data Warehouse Services offer the best methodology for supporting decision making at all levels of dispersed command. On Demand - Composeable Data Warehouse Capabilities, based upon web services, should be implemented and registered on the GIG for testing and deployment if successful. These new paradigms will require that adaptive and agile Extract, Transform, and Load (ETL) services, dynamic report creation services, composeable mining engines, robust Meta data tagging for discovery and analysis, and more sophisticated analytics services be developed to fully exploit the vast amounts of Global Information GRID data which is expected to accumulate. AU - Lenahan, J. CY - United States DA - 2005 KW - Architecture Availability Awareness Corporations Data processing decision making Dispersing Dynamics Engines Global Grids Industrial plants Information exchange Mining engineering Network architecture Policies Reports Stresses Symposia theory Warehouses Webs(Sheets) N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 2005 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 12p ST - Data Warehouse in Service Oriented Architectures and Network Centric Warfare TI - Data Warehouse in Service Oriented Architectures and Network Centric Warfare ID - 643 ER - TY - JOUR AB - With drastically decreasing costs of genetic sequencing, it has become feasible to use individual genetic markers to optimize treatment selection in cancer therapy. However, it is still difficult for medical practitioners to integrate these new kinds of data into clinical routine, since available information is growing rapidly. We demonstrate how a blend of manual curation and automated data extraction and evidence synthesis can be used to generate a 'living review', a summarization of current evidence on cancer classification, corresponding genetic markers, genetic tests and treatment options that can be used by clinicians to refine treatment choices. In contrast to a classical review, this automated 'living review' offers the opportunity of automatically updating core content when available data changes, making it easier to keep an overview of the best current evidence. We discuss some of the findings we made while creating a prototype of a 'living review' for colorectal cancer pharmacotherapy. AU - Karakulah, Gokhan AU - Suner, Asli AU - Adlassnig, Klaus-Peter AU - Samwald, Matthias DA - 2012 J2 - Stud Health Technol Inform KW - *Decision Support Systems, Clinical *Electronic Health Records *Health Records, Personal Data Mining/*methods Drug Therapy, Computer-Assisted/methods Genetic Testing/methods Humans Neoplasms/diagnosis/*drug therapy/*genetics Pharmacogenetics/*methods LA - eng PY - 2012 SN - 0926-9630 0926-9630 SP - 688-692 ST - A data-driven living review for pharmacogenomic decision support in cancer treatment T2 - Studies in health technology and informatics TI - A data-driven living review for pharmacogenomic decision support in cancer treatment VL - 180 ID - 273 ER - TY - JOUR AB - Rapid advancing information technology (IT) has improved the efficiency and effectiveness of product conceptualization and increased the importance of its role in new product development (NPD). However, there are two major omissions in existing work: firstly, a unified framework in the process of product conceptualization has not been well addressed; and secondly, it is imperative to attain an effective data-mining approach to support the product conceptualization process. Based on this understanding, the proposed approach aims at postulating an axiomatic product conceptualization system (APCS) to meet the demand of product concept development. The proposed APCS comprises three cohesively interacting modules, namely, knowledge elicitation module using laddering technique; knowledge representation module using design knowledge hierarchy (DKH); and knowledge synthesis module using restricted Coulomb energy (RCE) neural network. Accordingly, this system offers a method of making design decisions via a Web-based data-mining product conceptualization approach. A case study on wood golf club design has been used for system illustration.[All rights reserved Elsevier]. AU - Wei, Yan AU - Chun-Hsien, Chen AU - Youfang, Huang AU - Weijian, Mi DA - 2009/01// DO - 10.1016/j.compind.2008.09.003 IS - 1 J2 - Computers in Industry KW - data mining decision making knowledge representation neural nets Product Design Product development production engineering computing software architecture PY - 2009 SN - 0166-3615 SP - 21-34 ST - A data-mining approach for product conceptualization in a Web-based architecture T2 - Computers in Industry TI - A data-mining approach for product conceptualization in a Web-based architecture UR - http://dx.doi.org/10.1016/j.compind.2008.09.003 VL - 60 ID - 1603 ER - TY - JOUR AU - Marinov, Miroslav AU - Mosa, Abu Saleh Mohammad AU - Yoo, Illhoi AU - Boren, Suzanne Austin DA - 2011 DP - Google Scholar IS - 6 L1 - internal-pdf://3450939384/dst-05-1549.pdf PY - 2011 SP - 1549-1556 ST - Data-mining technologies for diabetes T2 - Journal of diabetes science and technology TI - Data-mining technologies for diabetes: a systematic review UR - http://dst.sagepub.com/content/5/6/1549.short http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3262726/ VL - 5 Y2 - 2016/09/24/16:03:41 ID - 2412 ER - TY - JOUR AB - BACKGROUND: Comparative analysis of tissue-specific transcriptomes is a powerful technique to uncover tissue functions. Our FlyAtlas.org provides authoritative gene expression levels for multiple tissues of Drosophila melanogaster (1). Although the main use of such resources is single gene lookup, there is the potential for powerful meta-analysis to address questions that could not easily be framed otherwise. Here, we illustrate the power of data-mining of FlyAtlas data by comparing epithelial transcriptomes to identify a core set of highly-expressed genes, across the four major epithelial tissues (salivary glands, Malpighian tubules, midgut and hindgut) of both adults and larvae. METHOD: Parallel hypothesis-led and hypothesis-free approaches were adopted to identify core genes that underpin insect epithelial function. In the former, gene lists were created from transport processes identified in the literature, and their expression profiles mapped from the flyatlas.org online dataset. In the latter, gene enrichment lists were prepared for each epithelium, and genes (both transport related and unrelated) consistently enriched in transporting epithelia identified. RESULTS: A key set of transport genes, comprising V-ATPases, cation exchangers, aquaporins, potassium and chloride channels, and carbonic anhydrase, was found to be highly enriched across the epithelial tissues, compared with the whole fly. Additionally, a further set of genes that had not been predicted to have epithelial roles, were co-expressed with the core transporters, extending our view of what makes a transporting epithelium work. Further insights were obtained by studying the genes uniquely overexpressed in each epithelium; for example, the salivary gland expresses lipases, the midgut organic solute transporters, the tubules specialize for purine metabolism and the hindgut overexpresses still unknown genes. CONCLUSION: Taken together, these data provide a unique insight into epithelial function in this key model insect, and a framework for comparison with other species. They also provide a methodology for function-led datamining of FlyAtlas.org and other multi-tissue expression datasets. AU - Chintapalli, Venkateswara R. AU - Wang, Jing AU - Herzyk, Pawel AU - Davies, Shireen A. AU - Dow, Julian A. T. DA - 2013 DO - 10.1186/1471-2164-14-518 J2 - BMC Genomics KW - Animals Drosophila melanogaster/genetics/*physiology Epithelium/metabolism Gene Expression Profiling Transcriptome L1 - internal-pdf://1404196431/Chintapalli-2013-Data-mining the FlyAtlas onli.pdf LA - eng PY - 2013 SN - 1471-2164 1471-2164 SP - 518 ST - Data-mining the FlyAtlas online resource to identify core functional motifs across transporting epithelia T2 - BMC genomics TI - Data-mining the FlyAtlas online resource to identify core functional motifs across transporting epithelia UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3734111/pdf/1471-2164-14-518.pdf VL - 14 ID - 244 ER - TY - JOUR AB - Rapid ethnographic assessment is used when there is a need to quickly create a socio-cultural profile of a group or region. While there are many forms such an assessment can take, we view it as providing insight into who are the key actors, what are the key issues, sentiments, resources, activities and locations, how have these changed in recent times, and what roles do the various actors play. We propose a mixed initiative rapid ethnographic approach that supports socio-cultural assessment through a network analysis lens. We refer to this as the data-to-model (D2M) process. In D2M, semi-automated computer-based text-mining and machine learning techniques are used to extract networks linking people, groups, issues, sentiments, resources, activities and locations from vast quantities of texts. Human-in-the-loop procedures are then used to tune and correct the extracted data and refine the computational extraction. Computational post-processing is then used to refine the extracted data and augment it with other information, such as the latitude and longitude of particular cities. This methodology is described and key challenges illustrated using three distinct data sets. We find that the data-to-model approach provides a reusable, scalable, rapid approach for generating a rapid ethnographic assessment in which human effort and coding errors are reduced, and the resulting coding can be replicated. AU - Carley, Kathleen M. AU - Bigrigg, MichaelW AU - Diallo, Boubacar DA - 2012/09// DO - 10.1007/s10588-012-9125-y IS - 3 PY - 2012 SN - 1381-298X SP - 300-327 ST - Data-to-model: a mixed initiative approach for rapid ethnographic assessment T2 - Computational and Mathematical Organization Theory TI - Data-to-model: a mixed initiative approach for rapid ethnographic assessment VL - 18 ID - 2085 ER - TY - CONF A2 - Wierse, A. A2 - Grinstein, G. G. A2 - Lang, U. AB - The following topics were dealt with: scientific data modeling; supporting interactive database exploration; visualization-related meta-data; views, visualization and databases; data mining and data visualization; requirements and architecture of an information visualization tool; mathematical structures of data and their implications for visualization; the semantics and mathematics of scientific data sampling; enhancing the visual clustering of query-dependent database visualization techniques using screen-filling curves; real-time database support for environmental visualization; meta-level database programming and visualization with POETView; large-scale data analysis using AVS5 and POSTGRES; FAN (an array-oriented query language); LadMan (a large data management system; the Tioga-2 database visualization environment; and collaborative visualization based on distributed data objects. C3 - Data Issues for Data Visualization. IEEE Visualization '95 Workshop, 28 Oct. 1995 DA - 1996 KW - Database management systems data visualisation PB - Springer-Verlag PY - 1996 SP - xiv+219 ST - Database Issues for Data Visualization. IEEE Visualization '95 Workshop. Proceedings TI - Database Issues for Data Visualization. IEEE Visualization '95 Workshop. Proceedings ID - 1129 ER - TY - CONF AB - Role based access control (RBAC) has been around for several decades now. Role design has a very strong impact on database security and it could be the source of many security incidents by accidental or intentional malicious activity of authorized users. Data mining has been used for knowledge discovery in databases and data warehouses. It is efficient for discovering patterns and extracting statistically important metadata. This paper proposes a method for database roles analysis using data mining. Implementing Frequent Pattern Growth algorithm (FP-growth), divide and conquer approach is applied and roles' frequent subsets are determined. Using these subsets, further analysis is much simpler and results in higher security levels for accessing sensitive data. AU - Pletikosa, M. AU - Supica, Z. C3 - 2011 34th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2011), 23-27 May 2011 DA - 2011 KW - authorisation data mining Data warehouses divide and conquer methods meta data statistical analysis PB - IEEE PY - 2011 SP - 1507-11 ST - Database roles analysis using data mining T3 - 2011 Proceedings of 34th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 20111) TI - Database roles analysis using data mining ID - 1835 ER - TY - CONF AB - The proceedings contain 27 papers. The topics discussed include: current approaches to XML benchmarking (invited talk); the XMLBench project: comparison of fast, multi-platform XML libraries; a synthetic, trend-based benchmark for XPath; an empirical evaluation of XML compression tools; benchmarking performance-critical components in a native XML database system; on benchmarking transaction managers; data provenance support in relational databases for stored procedures; a vision and agenda for theory provenance in scientific publishing; probabilistic ranking in uncertain vector spaces; logical foundations for similarity-based databases; tailoring data quality models using social network preferences; the effect of data quality tag values and usable data quality tags on decision-making; predicting timing failures in web services; classification with meta-learning in privacy preserving data mining; and a decomposition approach with invariant analysis for workflow coordination. C3 - International Workshops on Database Systems for Advanced Applications, DASFAA 2009: BenchmarX, MCIS, WDPP, PPDA, MBC, PhD, April 20, 2009 - April 23, 2009 DA - 2009 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2009 SN - 03029743 ST - Database Systems for Advanced Applications - DASFAA 2009 International Workshops: BenchmarX, MCIS, WDPP, PPDA, MBC, PhD T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Database Systems for Advanced Applications - DASFAA 2009 International Workshops: BenchmarX, MCIS, WDPP, PPDA, MBC, PhD VL - 5667 LNCS ID - 621 ER - TY - CONF AB - Meta-learning is an approach for solving the algorithm selection problem, which is how to choose the best algorithm for a certain task. This task corresponds to a dataset in machine learning and data mining. The main challenge in meta-learning is to engineer a meta-feature description for datasets. In the paper we apply meta-learning for feature selection. We found a meta-feature set which showed the best result in predicting proper feature selection algorithms. We also suggested a novel approach to engineer meta-features for data preprocessing algorithms, which is based on estimating the best parametrization of processing algorithms on small subsamples. 2015 FRUCT. AU - Filchenkov, Andrey AU - Pendryak, Arseniy C3 - Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference, AINL-ISMW FRUCT 2015, November 9, 2015 - November 14, 2015 DA - 2015 DO - 10.1109/AINL-ISMW-FRUCT.2015.7382962 KW - Algorithms artificial intelligence Computational linguistics data mining feature extraction Information analysis information retrieval Learning systems Social networking (online) Websites World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 11-18 ST - Datasets meta-feature description for recommending feature selection algorithm T3 - Proceedings of Artificial Intelligence and Natural Language and Information Extraction, Social Media and Web Search FRUCT Conference, AINL-ISMW FRUCT 2015 TI - Datasets meta-feature description for recommending feature selection algorithm UR - http://dx.doi.org/10.1109/AINL-ISMW-FRUCT.2015.7382962 ID - 1617 ER - TY - CONF AB - Exploring publications in academia usually entails browsing a collection of published literature through either bibliographic databases or full featured digital libraries. Bibliographic databases contain an organized collection of references to published literature, whereas digital libraries host publications in full-text. Although lacking full-text content of a publication, bibliographies contain rich metadata such as publication titles, venues or contributing authors that offer clues to the search process. DBLP, one of the computer science bibliographic databases, supports publication exploration by providing interfaces for finding specific bibliographic records or collections of records by a specific author. However, it lacks means for deep search process. In this paper, we describe a tool called DBLPminer that indexes DBLP records by topic categories under the taxonomy of ACM Computing Classification System, and offers a prototype web application interface through which researchers can organize or search for DBLP records by topic categories, or find associated topics for a DBLP record. Preliminary analysis of the indexing algorithm's performance yields promising results. We also compare DBLPminer with several other bibliographic exploration tools. AU - Le, T. AU - Du, Zhang C3 - 2015 IEEE 16th International Conference on Information Reuse and Integration (IRI), 13-15 Aug. 2015 DA - 2015 DO - 10.1109/IRI.2015.73 KW - bibliographic systems classification data mining Digital Libraries full-text databases indexing Internet meta data PB - IEEE Computer Society PY - 2015 SP - 435-42 ST - DBLPminer: A Tool for Exploring Bibliographic Data T3 - 2015 IEEE 16th International Conference on Information Reuse and Integration (IRI) TI - DBLPminer: A Tool for Exploring Bibliographic Data UR - http://dx.doi.org/10.1109/IRI.2015.73 ID - 1019 ER - TY - CONF AB - A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledge in large relational databases. The system implements a wide spectrum of data mining functions, including generalization, characterization, association, classification and prediction. By incorporating several interesting data mining techniques, including attribute-oriented induction, statistical analysis, progressive deepening for mining multiple-level knowledge, and meta-rule guided mining, the system provides a user-friendly, interactive data mining environment with good performance. AU - Jiawei, Han AU - Yongjian, Fu AU - Wei, Wang AU - Chiang, J. AU - Wan, Gong AU - Koperski, K. AU - Deyi, Li AU - Yijun, Lu AU - Rajan, A. AU - Stefanovic, N. AU - Xia, B. AU - Zaiane, O. R. C3 - Proceedings of 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96), 2-4 Aug. 1996 DA - 1996 KW - deductive databases generalisation (artificial intelligence) interactive systems Knowledge acquisition pattern classification relational databases statistical analysis very large databases PB - AAAI Press PY - 1996 SP - 250-5 ST - DBMiner: a system for mining knowledge in large relational databases T3 - KDD-96 Proceedings. Second International Conference on Knowledge Discovery and Data Mining TI - DBMiner: a system for mining knowledge in large relational databases ID - 1631 ER - TY - JOUR AB - BACKGROUND: While keyword based queries of databases such as Pubmed are frequently of great utility, the ability to use regular expressions in place of a keyword can often improve the results output by such databases. Regular expressions can allow for the identification of element types that cannot be readily specified by a single keyword and can allow for different words with similar character sequences to be distinguished. RESULTS: A Perl based utility was developed to allow the use of regular expressions in Pubmed searches, thereby improving the accuracy of the searches. CONCLUSION: This utility was then utilized to create a comprehensive listing of all DFN deafness mutations discussed in Pubmed records containing the keywords "human ear". AU - Frenz, Christopher M. DA - 2007 DO - 10.1186/1472-6947-7-32 J2 - BMC Med Inform Decis Mak KW - *Natural Language Processing Abstracting and Indexing as Topic Bibliometrics Database Management Systems/*instrumentation Deafness/*genetics Humans Information Storage and Retrieval/*methods Meta-Analysis as Topic Mutation PubMed L1 - internal-pdf://2559310617/Frenz-2007-Deafness mutation mining using regu.pdf LA - eng PY - 2007 SN - 1472-6947 1472-6947 SP - 32 ST - Deafness mutation mining using regular expression based pattern matching T2 - BMC medical informatics and decision making TI - Deafness mutation mining using regular expression based pattern matching UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2180167/pdf/1472-6947-7-32.pdf VL - 7 ID - 154 ER - TY - JOUR AB - We are living through exciting times during which we are able to unravel the microbial dark matter in and around us through the application of high-resolution meta-omics. Metaproteomics offers the ability to resolve the major catalytic units of microbial populations and thereby allows the establishment of genotype-phenotype linkages from in situ samples. A decade has passed since the term metaproteomics was first coined and corresponding analyses were carried out on mixed microbial communities. Since then metaproteomics has yielded many important insights into microbial ecosystem function in the various environmental settings where it has been applied. Although initial progress in analytical capacities and resulting numbers of proteins identified was extremely fast, this trend slowed rapidly. Here, we discuss several representative metaproteomic investigations of activated sludge, acid mine drainage biofilms, freshwater and seawater microbial communities, soil, and human gut microbiota. By using these case studies, we highlight current challenges and possible solutions for metaproteomics to realize its full potential, i.e. to enable conclusive links between microbial community composition, physiology, function, interactions, ecology, and evolution in situ. AU - Wilmes, Paul AU - Heintz-Buschart, Anna AU - Bond, Philip L. DA - 2015/10// DO - 10.1002/pmic.201500183 IS - 20 PY - 2015 SN - 1615-9853 SP - 3409-3417 ST - A decade of metaproteomics: Where we stand and what the future holds T2 - Proteomics TI - A decade of metaproteomics: Where we stand and what the future holds VL - 15 ID - 2260 ER - TY - JOUR AB - Topic models are a well known clustering approach for textual data, which provides promising applications in the bibliometric context for the purpose of discovering scientific topics and trends in a corpus of scientific publications. However, topic models per se provide poorly descriptive metadata featuring the discovered clusters of publications and they are not related to the other important metadata usually available with publications, such as authors affiliation, publication venue, and publication year. In this paper, we propose a methodological approach to topic modeling and post-processing of topic models results to the end of describing in depth a field of research over time. In particular, we work on a selection of publications from the international statistical literature, we propose an approach that allows us to identify sophisticated topic descriptors, and we analyze the links between topics and their temporal evolution. AU - Battisti, F. AU - Ferrara, A. AU - Salini, S. DA - 2015/05// DO - 10.1007/s11192-015-1554-1 IS - 2 J2 - Scientometrics KW - data mining Electronic publishing Information analysis meta data pattern clustering scientific information systems statistical analysis text analysis PY - 2015 SN - 0138-9130 SP - 413-33 ST - A decade of research in statistics: a topic model approach T2 - Scientometrics TI - A decade of research in statistics: a topic model approach UR - http://dx.doi.org/10.1007/s11192-015-1554-1 VL - 103 ID - 1277 ER - TY - CONF AB - Background. A systematic literature review is a process in which all relevant available research about a research question is identified, evaluated, and interpreted through individual studies. The workload required for this process may bias the evaluation of the studies, affecting the result. Aim. Creating a decision support architecture to assist participants of a systematic review in the selection process of the individual studies and quality assessment of these studies, possibly improving the execution time and reducing the evaluation bias. Method. Improving the primary studies selection and quality assessment processes by using text mining techniques and ontologies to construct a decision support architecture. We will also conduct experiments to evaluate the proposed architecture. Contribution. Improve the primary studies selection and quality assessment processes, reducing its workload, and lowering the evaluation bias in systematic literature reviews. 2015 for this paper by its authors. AU - Nepomuceno, Vilmar C3 - 13th International Doctoral Symposium on Empirical Software Engineering, IDoESE 2015 - As part of the Empirical Software Engineering International Week 2015, ESEIW 2015, October 21, 2015 DA - 2015 KW - data mining Decision support systems ontology Quality Control software engineering L1 - internal-pdf://4146382461/paper2.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - CEUR-WS PY - 2015 SN - 16130073 SP - 10-14 ST - Decision support architecture for primary studies evaluation T3 - CEUR Workshop Proceedings TI - Decision support architecture for primary studies evaluation VL - 1469 ID - 993 ER - TY - CONF AB - This work carries out the study of the precipitation during continuous heating up to 830C and ageing at this same temperature from meta+ aniso or meta+. The heating rates varied between 0.25 and 5C/s. The transformations were followed by electric resistivity and hardness measurements. Different samples were quenched from different temperatures during the heating range and were then studied by X-ray and TEM. The beginning temperatures of precipitations of the and phases were established, as the continuous heating transformation diagrams. Near 700C, X-ray quantitative analysis and EAM studies revealed (for quenching and 4.5C/s cooling rate) that the structure consisted of a maximum content of the phase, surrounded by zones enriched in Fe, Cr. For temperatures greater than 700C, the content of the phase diminished and the phase composition was homogenized. AU - Sanguinetti, R. AU - Zandona, M. AU - Pianelli, A. AU - Gautier, E. C3 - 36 Colloque de Metallurgie de l'INSTN. Changements de Phases et Microstructures (36th Metallurgy Colloquium on Phase Transitions and Microstructures), 22-23 June 1993 DA - 1994/02// DO - 10.1051/jp4:1994313 KW - ageing aluminium alloys crystal microstructure decomposition electrical conductivity of crystalline metals and alloys hardness molybdenum alloys precipitation titanium alloys transmission electron microscope examination of materials X-ray chemical analysis X-ray diffraction examination of materials zirconium alloys PY - 1994 SN - 1155-4339 SP - 99-104 ST - Decomposition of the -metastable phase of titanium alloy -Cez under heating T2 - Journal de Physique IV (Colloque) T3 - J. Phys. IV, Colloq. (France) TI - Decomposition of the -metastable phase of titanium alloy -Cez under heating UR - http://dx.doi.org/10.1051/jp4:1994313 VL - 4 ID - 512 ER - TY - JOUR AB - Introduction: The European standards for vehicle emissions, EURO IV and V, became applicable respectively in 2005 and 2009. Aimed at reducing the health impact of air pollution, they reduce particulate emissions for new diesel vehicles by a factor of 10 and emissions of NOx by 2.5 for all types of engines. This health impact assessment has been undertaken to determine whether these constraints are likely to produce the expected health benefits. It is published in three parts. The first assesses the exposure-response function (ERF) of air pollution effects on children's health and development. The second will model air pollution in France and estimate the portion due to road traffic in urban zones. Finally, the third will assess and compare the health effects attributable to road traffic in France in 2000 and in 2010. Objective: 1-To estimate the ERF from a meta-analysis of European epidemiological data on the relation between air pollution and children's health and development. Methods: A synthesis of the studies published between 1993 and 2003 identifies adverse effects of PM(10) and NO(2) on children's health and development. Studies for this meta-analysis were selected according to WHO criteria. The combined risks are estimated by a model with fixed effect or a model with random effect (InVS, 2003) depending on the existence of heterogeneity between the studies. Results: For an increase of 10 mu g/m3 in PM10, the ERFs for post-neonatal mortality are 1.383 [95% CI: 1.077-1.776], for asthma attacks 1.088 [1.026-1.153], for bronchitis 1.489 [1.115-1.990], for asthma hospitalisations 1.013 [1.004-1.022], for respiratory hospitalisations 1.011 [1.008-1.015], and for emergency medical examinations 1.027 [1.005-1.049]. In 2003, there were not enough studies on prematurity or on child cancer to determine risks by meta-analysis. Conclusion: These ERFs can be used to assess the health impact of atmospheric pollution in all European countries. Results from studies published after 2003 may make it possible to develop ERFs for the effects on child development and to strengthen existing ERFs for children's health. AU - Nedellec, Vincent AU - Mosqueron, Luc AU - Desqueyroux, Helene DA - 2009/02//JAN DO - 10.1684/ers.2009.0216 IS - 1 PY - 2009 SN - 1635-0421 SP - 22-34 ST - Decrease in the health impact of road traffic in French urban areas attributable to European emissions standards Euro IV and V. I. Meta-analysis of epidemiological studies to derive the exposure-response function in children T2 - Environnement Risques & Sante TI - Decrease in the health impact of road traffic in French urban areas attributable to European emissions standards Euro IV and V. I. Meta-analysis of epidemiological studies to derive the exposure-response function in children VL - 8 ID - 1931 ER - TY - JOUR AB - Although limbic structure changes have been found in chronic and recent onset post-traumatic stress disorder (PTSD) patients, there are few studies about brain structure changes in recent onset PTSD patients after a single extreme and prolonged trauma. In the current study, 20 coal mine flood disaster survivors underwent magnetic resonance imaging (MRI). Voxel-based morphometry (VBM) and region of interest (ROI) techniques were used to detect the gray matter and white matter volume changes in 10 survivors with recent onset PTSD and 10 survivors without PTSD. The correlation between the Clinician-Administered PTSD Scale (CAPS) and gray matter density in the ROI was also studied. Compared with survivors without PTSD, survivors with PTSD had significantly decreased gray matter volume and density in left anterior hippocampus, left parahippocampal gyrus, and bilateral calcarine cortex. The CAPS score correlated negatively with the gray matter density in bilateral calcarine cortex and left hippocampus in coal mine disaster survivors. Our study suggests that the gray matter volume and density of limbic structure decreased in recent onset PTSD patients who were exposed to extreme trauma. PTSD symptom severity was associated with gray matter density in calcarine cortex and hippocampus. (C) 2010 Elsevier Ireland Ltd. All rights reserved. AU - Zhang, Jian AU - Tan, Qingrong AU - Yin, Hong AU - Zhang, Xiaoliang AU - Huan, Yi AU - Tang, Lihua AU - Wang, Huaihai AU - Xu, Junqing AU - Li, Lingjiang DA - 2011/05/31/ DO - 10.1016/j.pscychresns.2010.09.001 IS - 2 PY - 2011 SN - 0925-4927 SP - 84-90 ST - Decreased gray matter volume in the left hippocampus and bilateral calcarine cortex in coal mine flood disaster survivors with recent onset PTSD T2 - Psychiatry Research-Neuroimaging TI - Decreased gray matter volume in the left hippocampus and bilateral calcarine cortex in coal mine flood disaster survivors with recent onset PTSD VL - 192 ID - 2217 ER - TY - JOUR AB - A combined experimental-numerical approach using digital image correlation (DIC) and thermomecanical finite element simulation is presented. Results from a series of experiments on a Ti6Al4V titanium alloy sheet are shown. Tensile tests were carried out on specimens along 3 different orientations in order to characterize the material anisotropy. Strain-rates are studied from 10-3 to 10-1 s-1 while observations are made at temperatures from 630 C to 730 C. The samples are heated by Joule effect, which allows using the image correlation in order to obtain the deformation fields and thus the Lankford coefficient [1]. Differences in the responses of this alloy are observed in terms of work hardening, strain rate and temperature sensitivities. The Norton-Hoff model and the Hill48 criterion [2] are used to effectively simulate the observed responses obtained from these experiments. An inverse analysis model using Kriging meta-model [3] is applied to determine each parameter of the mechanical behaviour law. The model, with the constants determined from these experiments, is then used to predict the mechanical behaviour of Ti6Al4V. Thus, the model is implemented into the implicit finite element code Forge to model forming of thin-walled structures. Predictions are found to be very close to the observations. AU - Chartrel, B. AU - Massoni, E. DA - 2013 DO - 10.4028/www.scientific.net/KEM.554-557.190 IS - 1 J2 - Key Engineering Materials KW - aluminium alloys deformation finite element analysis Image processing sheet materials Tensile testing titanium alloys vanadium alloys work hardening PY - 2013 SN - 1013-9826 SP - 190-4 ST - Deep Drawing of Ti6Al4V: Experiments and Modeling over a Wide Range of Strain Rates and Temperatures T2 - Key Engineering Materials TI - Deep Drawing of Ti6Al4V: Experiments and Modeling over a Wide Range of Strain Rates and Temperatures UR - http://dx.doi.org/10.4028/www.scientific.net/KEM.554-557.190 http://www.scientific.net/KEM.554-557.190 VL - 554-557 ID - 711 ER - TY - JOUR AU - Broyd, Samantha J. AU - Demanuele, Charmaine AU - Debener, Stefan AU - Helps, Suzannah K. AU - James, Christopher J. AU - Sonuga-Barke, Edmund J. S. DA - 2009 DP - Google Scholar IS - 3 L1 - http://resource.isvr.soton.ac.uk/staff/pubs/PubPDFs/Pub10650.pdf PY - 2009 SP - 279-296 ST - Default-mode brain dysfunction in mental disorders T2 - Neuroscience & biobehavioral reviews TI - Default-mode brain dysfunction in mental disorders: a systematic review UR - http://www.sciencedirect.com/science/article/pii/S0149763408001504 VL - 33 Y2 - 2016/09/24/15:39:07 ID - 2369 ER - TY - JOUR AB - Having surveyed the etymology and previous definitions of the pharmacovigilanceterm ‘signal’, we propose a definition that embraces all the surveyed ideas, reflects real-world pharmacovigilance processes, and accommodates signals of both harmful and beneficial effects. The essential definitional features of a pharmacovigilance signal are (i) that it is based on one or more reports of an association between an intervention or interventions and an event or set of related events (e.g. a syndrome), including any type of evidence (clinical or experimental); (ii) that it represents an association that is new and important and has not been previously investigated and refuted; (iii) that it incites to action (verification and remedial action); (iv) that it does not encompass intervention-event associations that are not related to causality or risk with a specified degree of likelihood and scientific plausibility. Based on these features, we propose this definition of a signal of suspected causality: “information that arises from one or multiple sources (including observations and experiments), which suggests a new potentially causal association, or a new aspect of a known association, between an intervention and an event or set of related events, either adverse or beneficial, which would command regulatory, societal or clinical attention, and is judged to be of sufficient likelihood to justify verificatory and, when necessary, remedial actions.” This defines an unverified signal; we have also defined terms —indeterminate, verified, and refuted signals — that qualify it in relation to verification. This definition and its accompanying flowchart should inform decision making in considering benefits and harms caused by pharmacological and nonpharmacological interventions. “Everybody can make distinctions: it is the lexicographer’s business to make broad definitions which embrace them.” — Dean Liddell AU - Hauben, Manfred AU - Aronson, Jeffrey K. DA - 2009 DP - Google Scholar IS - 2 L1 - internal-pdf://1726956429/art%253A10.2165%252F00002018-200932020-00003.pdf PY - 2009 SP - 99-110 ST - Defining ‘signal’and its subtypes in pharmacovigilance based on a systematic review of previous definitions T2 - Drug safety TI - Defining ‘signal’and its subtypes in pharmacovigilance based on a systematic review of previous definitions UR - http://link.springer.com/article/10.2165/00002018-200932020-00003 VL - 32 Y2 - 2016/09/24/16:03:41 ID - 2406 ER - TY - JOUR AB - Background:Health insurance claims data may play an important role for health care systems and payers in monitoring the nonmedical use of prescription opioids (NMPO) among patients. However, these systems require valid methods for identifying NMPO if they are to target individuals for intervention. Limited efforts have been made to define NMPO using administrative data available to health systems and payers. We conducted a systematic review of publications that defined and measured NMPO within health insurance claims databases in order to describe definitions of NMPO and identify areas for improvement.Methods:We searched 8 electronic databases for articles that included terms related to NMPO and health insurance claims. A total of 2613 articles were identified in our search. Titles, abstracts, and article full texts were assessed according to predetermined inclusion/exclusion criteria. Following article selection, we extracted general information, conceptual and operational definitions of NMPO, methods used to validate operational definitions of NMPO, and rates of NMPO.Results:A total of 7 studies met all inclusion criteria. A range of conceptual NMPO definitions emerged, from concrete concepts of abuse to qualified definitions of probable misuse. Operational definitions also varied, ranging from variables that rely on diagnostic codes to those that rely on opioid dosage and/or filling patterns. Quantitative validation of NMPO definitions was reported in 3 studies (e.g., receiver operating curves or logistic regression), with each study indicating adequate validity. Three studies reported qualitative validation, using face and content validity. One study reported no validation efforts. Rates of NMPO among the studies’ populations ranged from 0.75% to 10.32%.Conclusions:Disparate definitions of NMPO emerged from the literature, with little uniformity in conceptualization and operationalization. Validation approaches were also limited, and rates of NMPO varied across studies. Future research should prospectively test and validate a construct of NMPO to disseminate to payers and health officials. AN - 109802176. Language: English. Entry Date: 20150813. Revision Date: 20150923. Publication Type: Journal Article AU - Cochran, Gerald AU - Woo, Bongki AU - Lo-Ciganic, Wei-Hsuan AU - Gordon, Adam J. AU - Donohue, Julie M. AU - Gellad, Walid F. DA - 2015/04// DB - c8h DO - 10.1080/08897077.2014.993491 DP - EBSCOhost IS - 2 J2 - Substance Abuse KW - Analgesics, Opioid -- Administration and Dosage Behavior, Addictive Billing and Claims CINAHL Database Confidence Intervals Content Validity Data Analysis Software Data Mining -- Methods Descriptive Statistics Funding Source Human Insurance, Health -- United States Logistic Regression Medline Odds Ratio Psycinfo PubMed P-Value ROC Curve Self Medication -- Classification Systematic review United States L1 - internal-pdf://3492077147/Cochran-2015-Defining Nonmedical Use of Prescr.pdf N1 - glossary; research; systematic review; tables/charts. Journal Subset: Biomedical; Peer Reviewed; USA. Special Interest: Evidence-Based Practice. Grant Information: Support for this study provided by CDC/NIDA U01CE002496-01 and a VA HSR&D Career Development Award (09-207).. NLM UID: 8808537. PY - 2015 SN - 0889-7077 SP - 192-202 ST - Defining Nonmedical Use of Prescription Opioids Within Health Care Claims: A Systematic Review T2 - Substance Abuse TI - Defining Nonmedical Use of Prescription Opioids Within Health Care Claims: A Systematic Review UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=109802176&scope=site https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736503/pdf/nihms752689.pdf VL - 36 ID - 397 ER - TY - JOUR AB - BACKGROUND: Selective publication of studies, which is commonly called publication bias, is widely recognized. Over the years a new nomenclature for other types of bias related to non-publication or distortion related to the dissemination of research findings has been developed. However, several of these different biases are often still summarized by the term 'publication bias'. METHODS/DESIGN: As part of the OPEN Project (To Overcome failure to Publish nEgative fiNdings) we will conduct a systematic review with the following objectives:- To systematically review highly cited articles that focus on non-publication of studies and to present the various definitions of biases related to the dissemination of research findings contained in the articles identified.- To develop and discuss a new framework on nomenclature of various aspects of distortion in the dissemination process that leads to public availability of research findings in an international group of experts in the context of the OPEN Project.We will systematically search Web of Knowledge for highly cited articles that provide a definition of biases related to the dissemination of research findings. A specifically designed data extraction form will be developed and pilot-tested. Working in teams of two, we will independently extract relevant information from each eligible article.For the development of a new framework we will construct an initial table listing different levels and different hazards en route to making research findings public. An international group of experts will iteratively review the table and reflect on its content until no new insights emerge and consensus has been reached. DISCUSSION: Results are expected to be publicly available in mid-2013. This systematic review together with the results of other systematic reviews of the OPEN project will serve as a basis for the development of future policies and guidelines regarding the assessment and prevention of publication bias. AU - Muller, Katharina Felicitas AU - Briel, Matthias AU - D'Amario, Alexandra AU - Kleijnen, Jos AU - Marusic, Ana AU - Wager, Elizabeth AU - Antes, Gerd AU - von Elm, Erik AU - Lang, Britta AU - Motschall, Edith AU - Gloy, Viktoria AU - Schwarzer, Guido AU - Altman, Doug AU - Meerpohl, Joerg J. AU - Bassler, Dirk DA - 2013 DO - 10.1186/2046-4053-2-34 J2 - Syst Rev KW - *Access to Information *Bias (Epidemiology) *Meta-Analysis as Topic *Publication Bias *Research Design *Review Literature as Topic *Terminology as Topic Consensus data mining Humans Information Dissemination LA - eng PY - 2013 SN - 2046-4053 2046-4053 SP - 34 ST - Defining publication bias: protocol for a systematic review of highly cited articles and proposal for a new framework T2 - Systematic reviews TI - Defining publication bias: protocol for a systematic review of highly cited articles and proposal for a new framework VL - 2 ID - 18 ER - TY - JOUR AB - BACKGROUND: During the last decade, the Internet has become increasingly popular and is now an important part of our daily life. When new "Web 2.0" technologies are used in health care, the terms "Health 2.0" or "Medicine 2.0" may be used. OBJECTIVE: The objective was to identify unique definitions of Health 2.0/Medicine 2.0 and recurrent topics within the definitions. METHODS: A systematic literature review of electronic databases (PubMed, Scopus, CINAHL) and gray literature on the Internet using the search engines Google, Bing, and Yahoo was performed to find unique definitions of Health 2.0/Medicine 2.0. We assessed all literature, extracted unique definitions, and selected recurrent topics by using the constant comparison method. RESULTS: We found a total of 1937 articles, 533 in scientific databases and 1404 in the gray literature. We selected 46 unique definitions for further analysis and identified 7 main topics. CONCLUSIONS: Health 2.0/Medicine 2.0 are still developing areas. Many articles concerning this subject were found, primarily on the Internet. However, there is still no general consensus regarding the definition of Health 2.0/Medicine 2.0. We hope that this study will contribute to building the concept of Health 2.0/Medicine 2.0 and facilitate discussion and further research. AU - Van De Belt, Tom H. AU - Engelen, Lucien J. L. P. G. AU - Berben, Sivera A. A. AU - Schoonhoven, Lisette DA - 2010 DO - 10.2196/jmir.1350 IS - 2 J2 - J Med Internet Res KW - *Community Networks *Consumer Participation/trends *Databases as Topic/trends *Internet/trends *Online Systems/trends data mining Delivery of Health Care/*trends Humans Information storage and retrieval Medical Informatics/*methods/trends Patient Education as Topic PubMed Search Engine Terminology as Topic LA - eng PY - 2010 SN - 1438-8871 1438-8871 SP - e18 ST - Definition of Health 2.0 and Medicine 2.0: a systematic review T2 - Journal of medical Internet research TI - Definition of Health 2.0 and Medicine 2.0: a systematic review VL - 12 ID - 255 ER - TY - JOUR AB - The aim of this study is to delineate and recognize the different gold mineralized zones based on surface and subsurface lithogeochemical Au data utilizing concentration-volume (C-V) model in the Qoloqoleh gold vein deposit, NW Iran. C-V modeling outlined six geochemical populations and four mineralized zones for Au element based on log-log plot which was correlated with the mineralized veins from geological data. Extremely mineralized veins are higher than 14.12. ppm in Au grade, which are correlated with surface weathered zone by oxidized pyrites. The main phase of gold mineralization where Au grade typically ranges between 3.98 and 14.12. ppm is associated with thick quartz veins. Moderately and weakly mineralized zones ranging from 0.354 to 3.98. ppm Au derived by C-V model were correlated with narrow quartz veins that contain minor sulfides in the deposit. Barren host rocks obtained by C-V modeling were correlated with barren quartz veins in the deposit. The results were compared with a geological model, showing a strong positive correlation between mineralized zones and quartz-sulfide veins hosted by meta-volcanic rocks and sericite schist. Results examined via the C-V fractal model illustrate that the interpreted zones based on the fractal model, mineralogical, SEM and EPMA analyses have strong correlation with highly and moderately silicic mineralized veins consisting of sulfides and Au. To certify this, a logratio matrix was employed to validate the C-V fractal model for Au and two lithological units namely meta-volcanic rocks and sericite schists indicating the overall accuracy of 0.56 and 0.58 respectively. 2013 Elsevier B.V. AU - Afzal, Peyman AU - Ahari, Hooman Dadashzadeh AU - Omran, Nematolah Rashidnejad AU - Aliyari, Farhang DA - 2013 DO - 10.1016/j.oregeorev.2013.05.005 IS - C J2 - Ore Geology Reviews KW - Deposits Fractals Gold Gold deposits Lithology Population statistics Quartz Sulfur compounds Volcanic rocks L1 - internal-pdf://3006968069/Afzal-2013-Delineation of gold mineralized zon.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 01691368 SP - 125-133 ST - Delineation of gold mineralized zones using concentration-volume fractal model in Qolqoleh gold deposit, NW Iran T2 - Ore Geology Reviews TI - Delineation of gold mineralized zones using concentration-volume fractal model in Qolqoleh gold deposit, NW Iran UR - http://dx.doi.org/10.1016/j.oregeorev.2013.05.005 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0169136813001297/1-s2.0-S0169136813001297-main.pdf?_tid=eeabd15c-832b-11e6-9052-00000aacb35f&acdnat=1474813719_8ce3b9bd283925543af424f4ce99c9b2 VL - 55 ID - 685 ER - TY - JOUR AU - Scheuner, Maren T. AU - Sieverding, Pauline AU - Shekelle, Paul G. DA - 2008 DP - Google Scholar IS - 11 L1 - https://www.researchgate.net/profile/Maren_Scheuner/publication/5503565_Delivery_of_genomic_medicine_for_common_chronic_adult_diseases_a_systematic_review/links/00b4951d341dfa45b1000000.pdf PY - 2008 SP - 1320-1334 ST - Delivery of genomic medicine for common chronic adult diseases T2 - Jama TI - Delivery of genomic medicine for common chronic adult diseases: a systematic review UR - http://jama.jamanetwork.com/article.aspx?articleid=181646 VL - 299 Y2 - 2016/09/24/15:41:08 ID - 2387 ER - TY - CONF AB - Medical researchers looking for evidence pertinent to a specific clinical question must navigate an increasingly voluminous corpus of published literature. This data deluge has motivated the development of machine learning and data mining technologies to facilitate efficient biomedical research. Despite the obvious labor-saving potential of these technologies and the concomitant academic interest therein, however, adoption of machine learning techniques by medical researchers has been relatively sluggish. One explanation for this is that while many machine learning methods have been proposed and retrospectively evaluated, they are rarely (if ever) actually made accessible to the practitioners whom they would benefit. In this work, we describe the ongoing development of an end-to-end interactive machine learning system at the Tufts Evidence-based Practice Center. More specifically, we have developed abstrackr, an online tool for the task of citation screening for systematic reviews. This tool provides an interface to our machine learning methods. The main aim of this work is to provide a case study in deploying cutting-edge machine learning methods that will actually be used by experts in a clinical research setting. Copyright 2012 ACM. AU - Wallace, Byron C. AU - Small, Kevin AU - Brodley, Carla E. AU - Lau, Joseph AU - Trikalinos, Thomas A. C3 - 2nd ACM SIGHIT International Health Informatics Symposium, IHI'12, January 28, 2012 - January 30, 2012 DA - 2012 DO - 10.1145/2110363.2110464 KW - applications Diagnosis Learning systems Occupational therapy Research N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2012 SP - 819-823 ST - Deploying an interactive machine learning system in an Evidence-based Practice Center: Abstrackr T3 - IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium TI - Deploying an interactive machine learning system in an Evidence-based Practice Center: Abstrackr UR - http://dx.doi.org/10.1145/2110363.2110464 ID - 600 ER - TY - JOUR AB - Objective: To deter-mine whether depression is associated with worse cardiac disease severity in patients with stable coronary heart disease (CHD). There is considerable evidence that depression is a risk factor for adverse cardiovascular events in patients with CHD. However, a frequent criticism of this literature is that the association between depression and adverse cardiovascular outcomes may be confounded by worse baseline cardiac disease severity in depressed patients. Method:. In a sample of 1020 outpatients with stable CHD, we examined the association between major depression (assessed using the Computerized National Institute of Mental Health Diagnostic Inter-view Schedule) with measures of cardiac disease severity, including systolic dysfunction, diastolic dysfunction, exercise-induced ischemia, and cardiac wall motion abnormialities. Cross-sectional univariate and multivariate models controlling for demographic and clinical variables were computed. Results: Of the 1020 participants, 224 (22%) bad current (past month) major depression. After adjustment for age, major depression was not associated with systolic dysfunction, diastolic dysfunction, inducible ischemia, or cardiac wall motion abnormalities. Similarly, multivariate models revealed no significant relationship between major depression and cardiac disease severity. Conclusions: Overall, we found little evidence that depression is associated with worse cardiac disease severity. This suggests that greater baseline cardiac disease severity is unlikely to be responsible for the increased risk of CHD events in depressed patients. AU - Lett, Heather AU - Ali, Sadia AU - Whooley, Mary DA - 2008/05// DO - 10.1097/PSY.0b013e1816c3c5c IS - 4 L1 - internal-pdf://1667250732/Lett-2008-Depression and cardiac function in p.pdf PY - 2008 SN - 0033-3174 SP - 444-449 ST - Depression and cardiac function in patients with stable coronary heart disease: Findings from the heart and soul study T2 - Psychosomatic Medicine TI - Depression and cardiac function in patients with stable coronary heart disease: Findings from the heart and soul study UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2675877/pdf/nihms99638.pdf VL - 70 ID - 2284 ER - TY - CONF AB - In this paper, we describe the construction of a test collection for evaluating clinical information retrieval. The purpose of this test collection is to provide a basis for researchers to experiment with PECO-structured queries. Systematic reviews are used as a starting point for generating queries and relevance judgments. We give some details on the difficulties encountered in building this resource and report the results achieved by current state-of-the-art approaches. 2010 ACM. AU - Boudin, Florian AU - Nie, Jian-Yun AU - Dawes, Martin C3 - 4th International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10, October 26, 2010 - October 30, 2010 DA - 2010 DO - 10.1145/1871871.1871882 KW - bioinformatics data mining information retrieval Knowledge management Natural language processing systems Standardization L1 - internal-pdf://2381148771/p57-boudin.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2010 SP - 57-60 ST - Deriving a test collection for clinical information retrieval from systematic reviews T3 - International Conference on Information and Knowledge Management, Proceedings TI - Deriving a test collection for clinical information retrieval from systematic reviews UR - http://dx.doi.org/10.1145/1871871.1871882 http://dl.acm.org/citation.cfm?doid=1871871.1871882 ID - 1413 ER - TY - JOUR AB - The DH-ASF (Debye-Huckel-asymmetric formalism) model is a recently developed activity-composition model that can be used to calculate the thermodynamic effects of mixing in strong electrolyte and mixed solvent supercritical solutions at high pressures ( 3 kbar) and temperatures ( 400 {ring operator} C). The model uses a mole fraction concentration scale, and calculations are based on a pre-defined independent set of end-members that define speciation within the solution. This differs from the conventional use of molal concentration scales with sets of end-members that define the composition of the solution, but not the speciation (apparent end-members). This work presents DES (dual end-member sets)-code, a code that takes a conventional molal scale description of solution composition and implements the DH-ASF model for that solution. The code converts between apparent and independent end-member sets, and calculates standard state chemical potentials, ideal activities and activity coefficients using the DH-ASF model for molal and mole fraction concentration scales. The code runs in MathematicaTM 4.1 onwards, but it is written in a general meta-code form so that it can be implemented on a variety of platforms. Inputs to the code can be made manually, read from an auxiliary file, or presented to the input modules as passed variables. The code is provided with thermodynamic data from the Holland and Powell data set, but can be used with any data specified by the user. Outputs are designed to be modified by the user. Calculations on the systems NaCl-H2 O, NaCl-CaCl2-H2 O and NaCl-CO2-H2 O are used to demonstrate the utility of the DES-code. Calculations predict that ion association increases with increasing temperature and concentration of salt and CO2, and with decreasing pressure. This is consistent with experimental observation and the results of molecular simulations. The DES-code is suitable for use as it stands, or for modification and incorporation into existing or new Gibbs energy minimisation or equilibrium solving thermodynamic codes. 2007 Elsevier Ltd. All rights reserved. AU - Evans, Katy AU - Powell, Roger DA - 2007 DO - 10.1016/j.cageo.2006.09.010 IS - 6 J2 - Computers and Geosciences KW - Chemical analysis Chemical potential Gibbs free energy Mathematical models Mixing Optimization Pressure effects Solutions Thermal effects Thermodynamics L1 - internal-pdf://1539942439/Evans-2007-DES-code_ A metacode to aid calcula.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2007 SN - 00983004 SP - 789-807 ST - DES-code: A metacode to aid calculation of the chemical potential of aqueous solutions at elevated temperatures and pressures T2 - Computers and Geosciences TI - DES-code: A metacode to aid calculation of the chemical potential of aqueous solutions at elevated temperatures and pressures UR - http://dx.doi.org/10.1016/j.cageo.2006.09.010 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0098300407000027/1-s2.0-S0098300407000027-main.pdf?_tid=64cdc906-8333-11e6-956f-00000aab0f6c&acdnat=1474816924_949258848214766d87f8d46202bf3eb4 VL - 33 ID - 525 ER - TY - JOUR AB - Descriptive document clustering aims at discovering clusters of semantically interrelated documents together with meaningful labels to summarize the content of each document cluster. In this work, we propose a novel descriptive clustering framework, referred to as CEDL. It relies on the formulation and generation of 2 types of heterogeneous objects, which correspond to documents and candidate phrases, using multilevel similarity information. CEDL is composed of 5 main processing stages. First, it simultaneously maps the documents and candidate phrases into a common co-embedded space that preserves higher-order, neighbor-based proximities between the combined sets of documents and phrases. Then, it discovers an approximate cluster structure of documents in the common space. The third stage extracts promising topic phrases by constructing a discriminant model where documents along with their cluster memberships are used as training instances. Subsequently, the final cluster labels are selected from the topic phrases using a ranking scheme using multiple scores based on the extracted co-embedding information and the discriminant output. The final stage polishes the initial clusters to reduce noise and accommodate the multitopic nature of documents. The effectiveness and competitiveness of CEDL is demonstrated qualitatively and quantitatively with experiments using document databases from different application fields. AU - Mu, Tingting AU - Goulermas, John Y. AU - Korkontzelos, Ioannis AU - Ananiadou, Sophia DA - 2016/01// DO - 10.1002/asi.23374 IS - 1 PY - 2016 SN - 2330-1635 SP - 106-133 ST - Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities T2 - Journal of the Association for Information Science and Technology TI - Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities VL - 67 ID - 2080 ER - TY - CONF AB - Data warehouses are complex systems that have to deliver highlyaggregated, high quality data from heterogeneous sources to decision makers. Due to the dynamic change in the requirements and the environment, data warehouse system rely on meta databases to control their operation and to aid their evolution. In this paper, we present an approach to assess the quality of the data warehouse via a semantically rich model of quality management in a data warehouse. The model allows stakeholders to design abstract quality goals that are translated to executable analysis queries on quality measurements in the data warehouses meta database. The approach is being implemented using the ConceptBase meta database system. Springer-Verlag Berlin Heidelberg 1998. AU - Jeusfeld, Manfred A. AU - Quix, Christoph AU - Jarke, Matthias C3 - 17th International Conference on Conceptual Modeling, ER 1998, November 16, 1998 - November 19, 1998 DA - 1998 DO - 10.1007/978-3-540-49524-6_28 KW - data mining Data warehouses decision making Quality Control quality management Query languages N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 1998 SN - 03029743 SP - 349-362 ST - Design and analysis of quality information for data warehouses T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Design and analysis of quality information for data warehouses UR - http://dx.doi.org/10.1007/978-3-540-49524-6_28 VL - 1507 ID - 1326 ER - TY - CONF AB - The paper built the architecture of data mining algorithms library module based on Web Service, analysed the composition of the algorithms management module and its correlation with several modules, developed a data mining algorithms library system of modularization and hierarchy with Web Service on the basis of the logic frame of Meta data management. AU - Yangu, Zhang AU - Suyu, Zhang AU - He, Huang C3 - 2012 International Conference on Computer Science and Service System (CSSS), 11-13 Aug. 2012 DA - 2012 DO - 10.1109/CSSS.2012.337 KW - data mining meta data software libraries Web services PB - IEEE Computer Society PY - 2012 SP - 1336-8 ST - Design and Application of Data Mining Algorithms Library Based on Web Service T3 - 2012 International Conference on Computer Science and Service System (CSSS) TI - Design and Application of Data Mining Algorithms Library Based on Web Service UR - http://dx.doi.org/10.1109/CSSS.2012.337 ID - 1871 ER - TY - CONF AB - Recent years, the research of the meta-search engines becomes hotspot due to the unified access of this kind of search engines to users. It is convenient and efficient for an ordinary user to invoke multiple search engines and identify useful documents from returned results. In this paper, MySearch, a new personalize meta-search engine is introduced based on formal concept analysis (FCA). It extracts user's information implicitly and provides real-time response by re-ranking the results. Re-ranking is done by using concept lattice built by user's usage logs and the results of source engine. Finally, the improved re-rank is returned by MySearch. Experimental results show our method has a significant improvement on satisfactory degree in terms of the search result and user's requirement. AU - Juan, Tang AU - Ya-Jun, Du AU - Ke-Liang, Wang C3 - Sixth International Conference on Machine Learning Cybernetics, 19-22 Aug. 2007 DA - 2007 KW - information retrieval Search Engines Web sites PB - IEEE PY - 2007 SP - 4026-31 ST - Design and implement of personalize meta-search engine based on FCA T3 - Proceedings of Sixth International Conference on Machine Learning Cybernetics TI - Design and implement of personalize meta-search engine based on FCA ID - 1479 ER - TY - JOUR AB - Computer vision is concerned with extracting information about a scene by analyzing images of that scene. Performing any computer vision task requires an enormous amount of computation. Exploiting parallelism appears to be a promising way to improve the performance of computer vision systems. Past work in this area has focused on applying parallel processing techniques to image-operator level parallelism. In this article, we discuss the parallelism of computer vision in the control level and present a distributed image understanding system (DIUS). In DIUS, control-level parallelism is exploited by a dynamic scheduler. Furthermore, two levels of rules are used in the control mechanism. Meta-rules are concerned mainly with which strategy should be driven and the execution sequence of the system; control rules determine which task needs to be done next. A prototype system has been implemented within a parallel programming environment (Strand) which provides various virtual architectures mapping to either a shared-memory machine (Sequent) or to a Sun network. AU - Shu-Yuen, Hwang AU - Tsan-Pin, Wang DA - 1994/04// DO - 10.1007/BF01975432 IS - 2 J2 - Journal of Systems Integration KW - Computer vision parallel processing programming environments Scheduling PY - 1994 SN - 0925-4676 SP - 107-25 ST - The design and implementation of a distributed image understanding system T2 - Journal of Systems Integration TI - The design and implementation of a distributed image understanding system UR - http://dx.doi.org/10.1007/BF01975432 VL - 4 ID - 695 ER - TY - BOOK AB - In Electronic Commerce (EC) environment, the quality of business information directly affects the level of enterprise operations. This paper analyzes the common methods of business information retrieval in EC environment, and designs a software system which can automatically collect business information in Internet and extract business information required by enterprise from database directly. The system adopts meta-search engine to expand search scale, and applies information retrieval, web mining and agent technology to analyze and filter the business information, in order to improve the search quality of business information. AU - Xia, Ruijun AU - Wang, Qing AU - Wang, Dingwei AU - Liu, Lili DA - 2009 PY - 2009 SN - 978-1-4244-2723-9 ST - Design and Implementation of Domain-specific Business Information Search System in Electronic Commerce Environment TI - Design and Implementation of Domain-specific Business Information Search System in Electronic Commerce Environment ID - 2240 ER - TY - CONF AB - When conducting researches upon stratagem problems under the meta-synthetic integrated environment of stratagem research (SR) with the combination of qualitative and quantitative methods, we have designed comprehensive evaluation service which takes the argumentation and evaluation procedure as its framework and establishes an analytical model for evaluation based on an evaluation index system to do data acquisition and mining among various evaluation resources, all of which helps realize the practical purpose of providing auxiliary information for quantitative decision making in the stratagem researches. AU - Chu, Juntian AU - Wei, Ji-Cai AU - Cui, Hao AU - Lv, Shao-Qing AU - Zhao, Wei AU - Dong, Jie C3 - 5th International Conference on Applied Mathematics, Simulation, Modelling, ASM'11, July 14, 2011 - July 16, 2011 DA - 2011 KW - Computer Simulation Large scale systems Mathematical models Modal analysis Quality Control Research N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - World Scientific and Engineering Academy and Society PY - 2011 SN - 17924332 SP - 30-35 ST - The design and realization of comprehensive evaluation in the meta-synthetic integrated environment of stratagem research T3 - International Conference on Applied Mathematics, Simulation, Modelling - Proceedings TI - The design and realization of comprehensive evaluation in the meta-synthetic integrated environment of stratagem research ID - 1502 ER - TY - CONF AB - Data accessing service is designed to meet the needs of searching and utilizing various data in the meta-synthetic integrated environment of stratagem research (SR) and meanwhile data fuzzy mining engine is supposed to refine the collected data to make them useful for the stratagem research. Also, for accessing and utilizing database, data accessing API is designed, which provides a uniform interface for all data accessing requests and with mapping function gets all data address and accessing transparent. AU - Wei, Jicai AU - Bai, Hanbin AU - Zhao, Wei AU - Ren, Tingguang AU - Li, Junmei C3 - 5th International Conference on Applied Mathematics, Simulation, Modelling, ASM'11, July 14, 2011 - July 16, 2011 DA - 2011 KW - Algorithms Application programming interfaces (API) Mathematical models mining Modal analysis Research N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - World Scientific and Engineering Academy and Society PY - 2011 SN - 17924332 SP - 24-29 ST - The design and realization of data accessing service in the meta-synthetic integrated environment of stratagem research T3 - International Conference on Applied Mathematics, Simulation, Modelling - Proceedings TI - The design and realization of data accessing service in the meta-synthetic integrated environment of stratagem research ID - 1462 ER - TY - JOUR AB - The design and realization of Multi-Dimensional eXpression (MDX) compiler for Online Analytical Processing (OLAP) database was discussed. The Lex and Yacc based road map for designing the MDX complier which parsed the MDX query into a query tree object was studied. Lexical analysis, syntactic analysis and semantic processing were carried out along with the access to metadata and role based access control. The MDX compiler not only checked the syntax and semantics, but also authenticated and authorized users to achieve information security. AU - Lei, Gen-hua AU - Zhang, Ping-jian AU - Xi, Jian-qing DA - 2007/12// IS - 12 J2 - Journal of Computer Applications KW - authorisation data mining grammars information retrieval systems Information services meta data Program compilers text analysis PY - 2007 SN - 1001-9081 SP - 3035-8 ST - Design and realization of MDX compiler T2 - Journal of Computer Applications TI - Design and realization of MDX compiler VL - 27 ID - 1183 ER - TY - JOUR AB - A database can be used to warehouse quantitative trait loci (QTL) data from multiple sources for comparison, genomic data mining, and meta-analysis. A robust database design involves sound data structure logistics, meaningful data transformations, normalization, and proper user interface designs. This chapter starts with a brief review of relational database basics and concentrates on issues associated with curation of QTL data into a relational database, with emphasis on the principles of data normalization and structure optimization. In addition, some simple examples of QTL data mining and meta-analysis are included. These examples are provided to help readers better understand the potential and importance of sound database design. AU - Hu, Zhi-Liang AU - Reecy, James M. AU - Wu, Xiao-Lin DA - 2012 DO - 10.1007/978-1-61779-785-9_7 J2 - Methods Mol Biol KW - *Data Mining Animals Humans Meta-Analysis as Topic Quantitative Trait Loci/*genetics LA - eng PY - 2012 SN - 1940-6029 1064-3745 SP - 121-144 ST - Design database for quantitative trait loci (QTL) data warehouse, data mining, and meta-analysis T2 - Methods in molecular biology (Clifton, N.J.) TI - Design database for quantitative trait loci (QTL) data warehouse, data mining, and meta-analysis VL - 871 ID - 21 ER - TY - CONF AB - Compared with the traditional data mining system algorithms library, the introduction of Web Service technology into data mining system algorithm library realizes the separation of data, algorithm and interface. The loose and interconnected mode greatly reduces the complexity of the development for the algorithms library in data mining system and is convenient for the dynamic management of data mining algorithm library. This paper just analyses the major problems of algorithm library of data mining system in customization, sharing and dynamic maintenance and builds the basic framework of algorithms library module in data mining system. It also studies the description of the primary metadata in data mining algorithm as well as designs and materializes the formation of algorithms library management module and dynamic interface in data mining system. The algorithms library module in the data mining system built on the basis of Web Service technology is of critical significance to improving the efficiency of data mining. AU - Ren, Yanna AU - Lv, Suhong AU - Wang, Qiang C3 - 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN 2011), 27-29 May 2011 DA - 2011 DO - 10.1109/ICCSN.2011.6013761 KW - data mining meta data User interfaces Web services PB - IEEE PY - 2011 SP - 480-3 ST - The design of algorithm for data mining system used for Web Service T3 - 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN 2011) TI - The design of algorithm for data mining system used for Web Service UR - http://dx.doi.org/10.1109/ICCSN.2011.6013761 ID - 1859 ER - TY - CONF AB - The ability of self-organization is a common requirement in Ambient Intelligence systems; however, the design and evaluation of these highly distributed algorithms is not trivial due to their emergent properties, and also because of the diversity of the problem space. This paper summarizes the lessons learnt during the design and evaluation of a novel self-organization algorithm (Spyglass). The emphasis is not solely on the algorithm itself, but also on the road to that led to creating it. We describe a simulation based methodology for designing emergent self organiztaion mechanisms; tackled with considerations on the simulation and evaluation environment including metrics, problem space coverage, and a novel data mining based meta-analysis for simulation results. All aspects are illustrated with results from Spyglass. AU - Legeny, M. AU - Benko, B. K. C3 - 8th International Industrial Simulation Conference 2010 (ISC 2010), 7-9 June 2010 DA - 2010 KW - data mining distributed algorithms Internet pattern clustering PB - EUROSIS PY - 2010 SP - 10-14 ST - Design of novel self-organization mechanisms through simulation T3 - Proceedings 8th International Industrial Simulation Conference 2010 (ISC 2010) TI - Design of novel self-organization mechanisms through simulation ID - 1773 ER - TY - CONF AB - In recent years, there has a growing interest in the use of Ontologically Well-Founded Conceptual Modeling languages to support the domain analysis phase in Information Systems Engineering. OntoUML is an example of a conceptual modeling language whose metamodel has been designed to comply with the ontological distinctions and axiomatic theories put forth by a theoretically well-grounded Foundational Ontology. However, despite its growing adoption, OntoUML has been deemed to pose a significant complexity to novice modelers. This paper presents a number of theoretical and methodological contributions aimed at assisting these modelers. Firstly, the paper explores a number of design patterns which are derived from the ontological foundations of this language. Secondly, these patterns are then used to derive a number of model construction rule sets. The chained execution of these rule sets assists the modeler in the instantiation of these patterns, i.e., in the use of OntoUML as pattern-language. Thirdly, the article demonstrates how these rule sets can be materialized as a set of methodological guidelines which can be directly implemented in a tool support in the form of an automated dialogue with the novice modeler. 2011 Springer-Verlag. AU - Guizzardi, Giancarlo AU - Das Gracas, Alex Pinheiro AU - Guizzardi, Renata S. S. C3 - Advanced Information Systems Engineering Workshops - CAiSE 2011 International Workshops, Proceedings DA - 2011 DO - 10.1007/978-3-642-22056-2_44 KW - data mining Design FORTH (programming language) Information systems Models ontology Systems engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2011 SN - 18651348 SP - 402-413 ST - Design patterns and inductive modeling rules to support the construction of ontologically well-founded conceptual models in OntoUML T3 - Lecture Notes in Business Information Processing TI - Design patterns and inductive modeling rules to support the construction of ontologically well-founded conceptual models in OntoUML UR - http://dx.doi.org/10.1007/978-3-642-22056-2_44 VL - 83 LNBIP ID - 1083 ER - TY - JOUR AB - Market surveillance systems (MSSs) are information systems that monitor financial markets to combat market abuses. Existing MSSs focus mainly on analyzing trading activities and are often developed through a trial-and-error approach by screening data mining algorithms and features. The void of theoretical direction limits the effectiveness of MSSs and calls for the development of a design theory based on a thorough examination of the meta-requirements of MSSs. Based on the efficient market hypothesis and text understanding theory, this paper argues that market information analysis should be incorporated into MSSs and commonsense knowledge should be employed to connect related events to transactions and provide reference concepts for understanding market context and assessing transaction risk. We show the effectiveness of this proposed design theory through developing and evaluating a prototype system in the context of a real-world stock exchange market. By taking a theory-driven approach, this research shows the possibility and provides guidelines on the use of market information analysis to alleviate the market surveillance problem, which has significant implications for financial markets and the economy given the explosive growth of illegal trading activities worldwide. AU - Xin, Li AU - Sun, S. X. AU - Kun, Chen AU - Fung, T. AU - Huaiqing, Wang DA - 2015 Fall DO - 10.1080/07421222.2015.1063312 IS - 2 J2 - Journal of Management Information Systems KW - data mining financial data processing Information systems stock markets text analysis PY - 2015 SN - 0742-1222 SP - 278-313 ST - Design theory for market surveillance systems T2 - Journal of Management Information Systems TI - Design theory for market surveillance systems UR - http://dx.doi.org/10.1080/07421222.2015.1063312 VL - 32 ID - 1369 ER - TY - CONF AB - This article focuses on the study of detecting key individuals in terrorist network, combining the theories and algorithms of Social Network Analysis (SNA), Multi-meta Network Analysis and Fuzzy Analytical Network Process (FANP). Firstly an index system is built and then within this system the scores of terrorists are calculated, referencing the measures (total degree, betweenness, closeness, etc) of the network computed by ORA. By adding the artificial judgment and fuzzy science to the traditional analysis of terrorist network, it is believed to be a good method to meet the covert situation, where the information is uncertain and inaccurate. By studying the case of embassy bombing in Kenya and Tanzania, we are confident that the model can help intelligence and counterterrorism agencies to detect who are the key individuals in the terrorist network. AU - Li, Ze AU - Sun, Duo-yong AU - Guo, Shu-quan AU - Li, Bo C3 - 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), 17-20 Aug. 2014 DA - 2014 DO - 10.1109/ASONAM.2014.6921666 KW - analytic hierarchy process fuzzy set theory Social sciences PB - IEEE PY - 2014 SP - 724-7 ST - Detecting key individuals in terrorist network based on FANP model T3 - 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014) TI - Detecting key individuals in terrorist network based on FANP model UR - http://dx.doi.org/10.1109/ASONAM.2014.6921666 ID - 636 ER - TY - CONF AB - In previous papers, we have documented success in determining the key people of interest from a large corpus of real-world evidence. Our recent efforts focus on exploring additional domains and data sources. Internet data sources such as email, Web pages, and news feeds make it easier to gather a large corpus of documents for various domains, but detecting people of interest in these sources introduces new challenges. Analyzing these massive sources magnifies entity resolution problems, and demands a storage management strategy that supports efficient algorithmic analysis and visualization techniques. This paper discusses the techniques we used in order to analyze the ENRON email repository, which are also applicable to analyzing Web pages returned from our "Buddy" meta-search engine. AU - Cardillo, R. A. AU - Salerno, J. J. C3 - Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006, 17 April 2006 DA - 2006 DO - 10.1117/12.665718 KW - Electronic mail Internet Search Engines Social sciences computing L1 - internal-pdf://3651368886/Cardillo-2006-Detecting people of interest fro.pdf PB - SPIE - The International Society for Optical Engineering PY - 2006 SN - 0277-786X SP - 62410-1 ST - Detecting people of interest from Internet data sources T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE - Int. Soc. Opt. Eng. (USA) TI - Detecting people of interest from Internet data sources UR - http://dx.doi.org/10.1117/12.665718 http://proceedings.spiedigitallibrary.org.ezproxy.lib.vt.edu/data/Conferences/SPIEP/4227/62410H_1.pdf VL - 6241 ID - 1000 ER - TY - CONF AB - Irregular activities such as fraud often lead to recurring, identifiable patterns in the meta-information. Such patterns may be automatically identified by means of a grammatical rule set which uses compiler construction techniques to identify the origin of the irregularity and the pattern associated with it. The extensible Modelling Language (XML) is often used to facilitate inter-operation of applications. Extensible Business Reporting Language (XBRL) is based on the concept of XML and is an open, human readable format designed for the sharing of financial information. Due the ease of editing and modifying human readable information, it is comparatively easy to manipulate the information contained in XBRL in a fraudulent way. An example might be to edit the totals of a transaction or to add a bogus transaction to the data. Our research addresses this problem by applying compiler construction techniques on the XBRL information. In doing so, we hope to extract useful forensic information from the patterns in the meta-information which may in turn be used for prosecution in case of irregularities (such as fraud). Our techniques can be further applied to other XML based applications (such as command and control XML specifications) to detect irregularities in a post-event analysis. The paper reports on a prototype that was constructed using standard compiler construction tools such as Lex and Yacc under Linux. We have used these tools to construct a grammar and to compile the grammar into an executable. The executable was then run on a set of XBRL inputs, where it performed pattern matching on the meta-information in the XBRL input. The parser was generated to parse correct XBRL; the 'normal' productions that form part of correct XBRL were augmented by error productions to deal with a few examples of fraudulent actions. The prototype was able to identify pre-defined fraud patterns in the XBRL-file. It is thus possible to conclude that grammar rules and compiler construction can be used to successfully parse meta-information and extract forensic information. AU - Kotze, D. AU - Olivier, M. C3 - 9th European Conference on Information Warfare and Security, 1-2 July 2010 DA - 2010 KW - computer forensics financial data processing grammars Linux Program compilers XML PB - Academic Publishing International Limited PY - 2010 SP - 151-9 ST - Detecting XML Data Irregularities by Means of Lexical Analysis and Parsing T3 - Proceedings of the 9th European Conference on Information Warfare and Security TI - Detecting XML Data Irregularities by Means of Lexical Analysis and Parsing ID - 1003 ER - TY - CONF AB - Keeping our ports and waterways safe from threats has become increasingly relevant. Hull and harbor infrastructure inspections are not performed regularly as they are time consuming, require careful planning and involve a huge amount of risk as well as human and monetary resources. An Autonomous Underwater Vehicle (AUV)-based approach will speed up operations and help locate and identify possible threats while removing divers from the high risk tasks. Providing smart Remotely Operated Vehicle (ROV) technology that can automatically prosecute contacts identified by the AUV as well as carry out close video and sonar inspections of harbor infrastructure will also help speed up and improve inspections. In tandem with constant monitoring in sensitive diver incursion areas this will provide a holistic risk-averse harbor inspection solution. Harbor areas may be divided into distinct open and constrained regions. Within the open harbor regions there is a clear need to remove divers from the tasks of detecting targets, discriminating them from bottom clutter and positively identifying them. SeeTrack Professional comprises a modular suite of software components which provides multi-vehicle mission planning, monitoring and post processing capabilities for rapid on-site analysis and data fusion of the sensor data. It uses a modular open architecture that provides a single integrated picture for all assets being employed within the Harbor region. It has been used successfully to coordinate multiple AUV operations. SeeTrack Professional includes a Change Detection component which fuses and compares data to highlight anything from possible threats to foreign bodies. The Change Detection model considers the location and spatial distribution of the targets within the Harbor region data to flag possible new threats. Carrying out the fusion at the meta-data level allows the Change Detection to be carried out on data collected with different assets. Within constrained regions of a harbor, ROVs can be deployed to inspect areas such as the pier pilings, harbor walls and around the ship hulls. ROVs are rapidly deployable and capable of continuous, reliable operations in adverse conditions. They also provide a platform on which multiple sensors may be mounted and utilized to meet the harbor inspection problem. This paper will present a smart ROV solution that employs automated control technology to simplify close inspection. The advanced technology enables the pilot, to focus on his primary task of looking for possible threats (such as IEDs, Limpet Mines, signs of sabotage, etc). This same smart ROV can be used to automatically prosecute contacts identified by the AUV in the open areas. In conjunction with a robust-repeatable real-time Diver Detection system that can be operated with sonars mounted close to sensitive areas of a harbor the waterways, the infrastructure can be kept safe and free of threats. By using real-time sensor processing capabilities including Automatic Target Recognition (ATR) algorithms for Forward Looking Sonar and Video sensors the AUV, Mosaicing and live 3D Re-construction modules, ROV's and harbor monitoring sensors can highlight possible IED targets and divers, locating their position within the harbor environment. This presentation will present results from trial and operations. AU - Reed, Scott AU - Wood, Jon AU - Haworth, Chris C3 - 2010 International Waterside Security Conference, WSS 2010, November 3, 2010 - November 5, 2010 DA - 2010 DO - 10.1109/WSSC.2010.5730276 KW - Automatic target recognition Autonomous underwater vehicles Computer architecture Hulls (ship) Inspection Ports and harbors Remotely operated vehicles Sensor data fusion Sensors signal detection Sonar Space shuttles Submersibles Technology Three dimensional computer graphics Underwater acoustics Underwater equipment Water craft N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 ST - The detection and disposal of IED devices within harbor regions using AUVs, smart ROVs and data processing/fusion technology T3 - 2010 International Waterside Security Conference, WSS 2010 TI - The detection and disposal of IED devices within harbor regions using AUVs, smart ROVs and data processing/fusion technology UR - http://dx.doi.org/10.1109/WSSC.2010.5730276 ID - 577 ER - TY - JOUR AB - Today's e-commerce is highly depended on increasingly growing online customers' reviews posted in opinion sharing Web sites. This fact, unfortunately, has tempted spammers to target opinion sharing Web sites in order to promote and demote products. To date, different types of opinion spam detection methods have been proposed in order to provide reliable resources for customers, manufacturers and researchers. However, supervised approaches suffer from imbalance data due to scarcity of spam reviews in datasets, rating deviation based filtering systems are easily cheated by smart spammers, and content based methods are very expensive and majority of them have not been tested on real data hitherto. The aim of this paper is to propose a robust review spam detection system wherein the rating deviation, content based factors and activeness of reviewers are employed efficiently. To overcome the aforementioned drawbacks, all these factors are synthetically investigated in suspicious time intervals captured from time series of reviews by a pattern recognition technique. The proposed method could be a great asset in online spam filtering systems and could be used in data mining and knowledge discovery tasks as a standalone system to purify product review datasets. These systems can reap benefit from our method in terms of time efficiency and high accuracy. Empirical analyses on real dataset show that the proposed approach is able to successfully detect spam reviews. Comparison with two of the current common methods, indicates that our method is able to achieve higher detection accuracy (F-Score: 0.86) while removing the need for having specific fields of Meta data and reducing heavy computation required for investigation purposes. [All rights reserved Elsevier]. AU - Heydari, A. AU - Tavakoli, M. AU - Salim, N. DA - 2016/10/01/ DO - 10.1016/j.eswa.2016.03.020 J2 - Expert Systems with Applications KW - Electronic commerce e-mail filters meta data time series unsolicited e-mail Web sites L1 - internal-pdf://2910632217/Heydari-2016-Detection of fake opinions using.pdf PY - 2016 SN - 0957-4174 SP - 83-92 ST - Detection of fake opinions using time series T2 - Expert Systems with Applications TI - Detection of fake opinions using time series UR - http://dx.doi.org/10.1016/j.eswa.2016.03.020 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0957417416301129/1-s2.0-S0957417416301129-main.pdf?_tid=67704d12-833a-11e6-870c-00000aab0f01&acdnat=1474819935_9fd2165c14c412633641aec50b348f3a VL - 58 ID - 1628 ER - TY - JOUR AB - Highly pathogenic avian influenza (HPAI) virus H5N1 infects water and land fowl and can infect and cause mortality in mammals, including humans. However, HPAI H5N1 strains are not equally virulent in mammals, and some strains have been shown to cause only mild symptoms in experimental infections. Since most experimental studies of the basis of virulence in mammals have been small in scale, we undertook a meta-analysis of available experimental studies and used Bayesian graphical models (BGM) to increase the power of inference. We applied text-mining techniques to identify 27 individual studies that experimentally determined pathogenicity in HPAI H5N1 strains comprising 69 complete genome sequences. Amino acid sequence data in all 11 genes were coded as binary data for the presence or absence of mutations related to virulence in mammals or nonconsensus residues. Sites previously implicated as virulence determinants were examined for association with virulence in mammals in this data set, and the sites with the most significant association were selected for further BGM analysis. The analyses show that virulence in mammals is a complex genetic trait directly influenced by mutations in polymerase basic 1 (PB1) and PB2, nonstructural 1 (NS1), and hemagglutinin (HA) genes. Several intra- and intersegment correlations were also found, and we postulate that there may be two separate virulence mechanisms involving particular combinations of polymerase and NS1 mutations or of NS1 and HA mutations. AU - Lycett, S. J. AU - Ward, M. J. AU - Lewis, F. I. AU - Poon, A. F. Y. AU - Kosakovsky Pond, S. L. AU - Brown, A. J. Leigh DA - 2009/10//undefined DO - 10.1128/JVI.00608-09 IS - 19 J2 - J Virol KW - *Mutation Amino Acids/chemistry Animals Bayes Theorem Computational Biology/methods Gene Deletion Genome, Viral Humans Influenza A Virus, H5N1 Subtype/*genetics/*metabolism Mice Models, Statistical Multivariate Analysis Phenotype Probability Virulence LA - eng PY - 2009 SN - 1098-5514 0022-538X SP - 9901-9910 ST - Detection of mammalian virulence determinants in highly pathogenic avian influenza H5N1 viruses: multivariate analysis of published data T2 - Journal of virology TI - Detection of mammalian virulence determinants in highly pathogenic avian influenza H5N1 viruses: multivariate analysis of published data VL - 83 ID - 320 ER - TY - CONF AB - Outliers are exceptions when compared with the rest of the data. Outliers do not have a clear distinction with respect to regular samples in the dataset. Analysis and knowledge extraction from data with outliers lead to ambiguity and confused conclusions. Therefore, there is a need for detection of outliers as a pre-processing stage for data mining. In a multidimensional perspective, outlier detection is a challenging issue as an object may deviate in one subspace and may appear perfectly regular in another subspace. In this paper, an ensemble meta-algorithm has been proposed to analyze and vote the samples for outlier identification in multidimensional subspaces. Cooks distance, a regression based model has been applied to detect the outliers voted by the ensemble meta-algorithm. Extensive experimentation on real datasets demonstrates the efficiency of the proposed system in detecting outliers. Springer India 2015. AU - Ashwini Kumari, M. AU - Bhargavi, M. S. AU - Gowda, Sahana D. C3 - 1st International Conference on Computational Intelligence in Data Mining, ICCIDM 2014, December 20, 2014 - December 21, 2014 DA - 2015 DO - 10.1007/978-81-322-2208-8_51 KW - artificial intelligence data handling data mining Statistics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Science and Business Media Deutschland GmbH PY - 2015 SN - 21903018 SP - 563-573 ST - Detection of outliers in an unsupervised environment T3 - Smart Innovation, Systems and Technologies TI - Detection of outliers in an unsupervised environment UR - http://dx.doi.org/10.1007/978-81-322-2208-8_51 VL - 32 ID - 1015 ER - TY - CONF AB - The central challenge in temporal data analysis is to obtain knowledge about its underlying dynamics. In this paper, we address the observation of noisy, stochastic processes and attempt to detect temporal segments that are related to inconsistencies and irregularities in its dynamics. Many conventional anomaly detection approaches detect anomalies based on the distance between patterns, and often provide only limited intuition about the generative process of the anomalies. Meanwhile, model-based approaches have difficulty in identifying a small, clustered set of anomalies. We propose Information- theoretic Meta-clustering (ITMC), a formalization of model-based clustering principled by the theory of lossy data compression. ITMC identifies a 'unique' cluster whose distribution diverges significantly from the entire dataset. Furthermore, ITMC employs a regularization term derived from the preference for high compression rate, which is critical to the precision of detection. For empirical evaluation, we apply ITMC to two temporal anomaly detection tasks. Datasets are taken from generative processes involving heterogeneous and inconsistent dynamics. A comparison to baseline methods shows that the proposed algorithm detects segments from irregular states with significantly high precision and recall. Copyright 2009 ACM. AU - Ando, Shin AU - Suzuki, Einoshin C3 - 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '09, June 28, 2009 - July 1, 2009 DA - 2009 DO - 10.1145/1557019.1557033 KW - Algorithms Cluster Analysis Data compression Information theory random processes N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2009 SP - 59-67 ST - Detection of unique temporal segments by information theoretic meta-clustering T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - Detection of unique temporal segments by information theoretic meta-clustering UR - http://dx.doi.org/10.1145/1557019.1557033 http://dl.acm.org/citation.cfm?doid=1557019.1557033 ID - 1614 ER - TY - JOUR AB - This study was aimed to characterize the distribution of colorectal cancer risk using family history of cancers by data mining. Family histories for 10,066 colorectal cancer cases recruited to population cancer registries of the Colon Cancer Family Registry were analyzed using a data mining framework. A novel index was developed to quantify familial cancer aggregation. Artificial neural network was used to identify distinct categories of familial risk. Standardized incidence ratios (SIRs) and corresponding 95 % confidence intervals (CIs) of colorectal cancer were calculated for each category. We identified five major, and 66 minor categories of familial risk for developing colorectal cancer. The distribution the major risk categories were: (1) 7 % of families (SIR = 7.11; 95 % CI 6.65-7.59) had a strong family history of colorectal cancer; (2) 13 % of families (SIR = 2.94; 95 % CI 2.78-3.10) had a moderate family history of colorectal cancer; (3) 11 % of families (SIR = 1.23; 95 % CI 1.12-1.36) had a strong family history of breast cancer and a weak family history of colorectal cancer; (4) 9 % of families (SIR = 1.06; 95 % CI 0.96-1.18) had strong family history of prostate cancer and weak family history of colorectal cancer; and (5) 60 % of families (SIR = 0.61; 95 % CI 0.57-0.65) had a weak family history of all cancers. There is a wide variation of colorectal cancer risk that can be categorized by family history of cancer, with a strong gradient of colorectal cancer risk between the highest and lowest risk categories. The risk of colorectal cancer for people with the highest risk category of family history (7 % of the population) was 12-times that for people in the lowest risk category (60 %) of the population. Data mining was proven an effective approach for gaining insight into the underlying cancer aggregation patterns and for categorizing familial risk of colorectal cancer. AU - Chau, Rowena AU - Jenkins, Mark A. AU - Buchanan, Daniel D. AU - Ouakrim, Driss Ait AU - Giles, Graham G. AU - Casey, Graham AU - Gallinger, Steven AU - Haile, Robert W. AU - Le Marchand, Loic AU - Newcomb, Polly A. AU - Lindor, Noralane M. AU - Hopper, John L. AU - Win, Aung Ko DA - 2016/04// DO - 10.1007/s10689-015-9860-6 IS - 2 PY - 2016 SN - 1389-9600 SP - 241-251 ST - Determining the familial risk distribution of colorectal cancer: a data mining approach T2 - Familial Cancer TI - Determining the familial risk distribution of colorectal cancer: a data mining approach VL - 15 ID - 1998 ER - TY - JOUR AB - AgBase provides annotation for agricultural gene products using the Gene Ontology (GO) and Plant Ontology, as appropriate. Unlike model organism species, agricultural species have a body of literature that does not just focus on gene function; to improve efficiency, we use text mining to identify literature for curation. The first component of our annotation interface is the gene prioritization interface that ranks gene products for annotation. Biocurators select the top-ranked gene and mark annotation for these genes as 'in progress' or 'completed'; links enable biocurators to move directly to our biocuration interface (BI). Our BI includes all current GO annotation for gene products and is the main interface to add/modify AgBase curation data. The BI also displays Extracting Genic Information from Text (eGIFT) results for each gene product. eGIFT is a web-based, text-mining tool that associates ranked, informative terms (iTerms) and the articles and sentences containing them, with genes. Moreover, iTerms are linked to GO terms, where they match either a GO term name or a synonym. This enables AgBase biocurators to rapidly identify literature for further curation based on possible GO terms. Because most agricultural species do not have standardized literature, eGIFT searches all gene names and synonyms to associate articles with genes. As many of the gene names can be ambiguous, eGIFT applies a disambiguation step to remove matches that do not correspond to this gene, and filtering is applied to remove abstracts that mention a gene in passing. The BI is linked to our Journal Database (JDB) where corresponding journal citations are stored. Just as importantly, biocurators also add to the JDB citations that have no GO annotation. The AgBase BI also supports bulk annotation upload to facilitate our Inferred from electronic annotation of agricultural gene products. All annotations must pass standard GO Consortium quality checking before release in AgBase. Database URL: http://www.agbase.msstate.edu/. AU - Pillai, Lakshmi AU - Chouvarine, Philippe AU - Tudor, Catalina O. AU - Schmidt, Carl J. AU - Vijay-Shanker, K. AU - McCarthy, Fiona M. DA - 2012 DO - 10.1093/database/bas038 DP - PubMed J2 - Database (Oxford) KW - Agriculture Databases, Genetic Data Mining Genes, Plant Molecular Sequence Annotation Periodicals as Topic Quality Control Workflow LA - eng PY - 2012 SN - 1758-0463 SP - bas038 ST - Developing a biocuration workflow for AgBase, a non-model organism database T2 - Database: The Journal of Biological Databases and Curation TI - Developing a biocuration workflow for AgBase, a non-model organism database UR - http://www.ncbi.nlm.nih.gov/pubmed/23160411 VL - 2012 ID - 444 ER - TY - JOUR AB - As Active Mining is a new concept among data mining and/or knowledge discovery in databases communities, in order to validate the effectiveness, it is important to carry out empirical studies using practical data. Based on the concept of Active User Reaction, this paper develops a causal model from liver function test data in a medical domain. To develop the model, we have set a problem to predict the values of ICG (indocyanine green) test from given observation data and experts' background knowledge. We therefore employ a framework of metalearning and structural equation modeling. In this paper meta-learning means learning about mined results from multiple data-mining techniques. Structural equation modeling enables us to describe flexible models from background knowledge. The construction of the causal model contains two phases: meta-learning and the model building. The meta-learning phase utilizes both the linear regression and the neural network as data mining techniques, then examines the predictability on the given data set. Mining models are n-folded learned from the training data set. Each of the prediction accuracy of the mining models is compared using with the testing data. On the model building phase, we use structural equation modeling to develop a causal model based on results of meta-learning and background knowledge. We again compare the accuracy of the causal model with each of the mining models. Consequently we have developed the causal model, which is comprehensible and have good predictive performance, via the meta-learning phase. Through the empirical study, we have got the conclusion that the framework of meta-learning is effective in data mining in a difficult medical domain. AU - Inada, Masanori AU - Terano, Takao DA - 2002 DO - 10.1527/tjsai.17.708 IS - 6 J2 - Transactions of the Japanese Society for Artificial Intelligence KW - artificial intelligence data mining Mathematical models Metadata Neural networks Problem solving Regression Analysis L1 - internal-pdf://2092720083/Inada-2002-Developing a causal model from live.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2002 SN - 13460714 SP - 708-715 ST - Developing a causal model from liver function test data T2 - Transactions of the Japanese Society for Artificial Intelligence TI - Developing a causal model from liver function test data UR - http://dx.doi.org/10.1527/tjsai.17.708 https://www.jstage.jst.go.jp/article/tjsai/17/6/17_6_708/_pdf VL - 17 ID - 1275 ER - TY - CONF AB - Science is matching toward a new paradigm of data-intensive knowledge discovery enabled by massive availability of digital data at a time of grand challenges of global scale, interdisciplinary nature, and translational complexity. This combination of events gives rise to great opportunities of meta-knowledge services where the relations, patterns, emerging trends, hidden possibilities, ignored abnormalities, etc., can be revealed and tested. Several approaches of meta-knowledge services are here today or in near-future. Intelligent monitoring and visualizing of research fields and emerging topics help researchers keep track of development; Literature and patent analysis reveals complicated patterns of research and its competition or cooperation; Output, impact, and portfolio analysis supports official evaluation of research organizations, groups, and individuals; Path exploration and road-mapping are interactively used to build and test research plans; Meta-reading of large amount of data provides students with effective ways to structure knowledge and identify key points. National Science Library, CAS, as its innovation and future-enabling strategy, has been developing a meta-knowledge-service-centric service structure. On one hand, it arms its analyst teams with sophisticated computational tools of RD tracking, trends detecting, technology analysis, competition/cooperation analysis, RD mapping, etc. On the other hand, it re-structures its digital information services into a linked open data based and ontological systems driven discovery platform. These meta-knowledge services require a much different approach from current digital libraries, with the emphasis on the discovery and decision-making utilization of content. A meta-knowledge-driven service cannot be achieved as a simple extension of current digital libraries. Paradigmatic shifts are needed to go beyond the traditional search and retrieval model. AU - Xiaolin, Zhang C3 - Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation. 13th International Conference on Asia-Pacific Digital Libraries (ICADL 2011), 24-27 Oct. 2011 DA - 2011 DO - 10.1007/978-3-642-24826-9_3 KW - data mining Digital Libraries ontologies (artificial intelligence) PB - Springer-Verlag PY - 2011 SP - 3 ST - Developing MetaKnowledge Services: The Next Paradigm for Digital Libraries T3 - Digital Libraries: For Cultural Heritage, Knowledge Dissemination, and Future Creation. Proceedings 13th International Conference on Asia-Pacific Digital Libraries (ICADL 2011) TI - Developing MetaKnowledge Services: The Next Paradigm for Digital Libraries UR - http://dx.doi.org/10.1007/978-3-642-24826-9_3 ID - 1097 ER - TY - JOUR AB - Comparative effectiveness research (CER) provides evidence for the relative effectiveness and risks of different treatment options and informs decisions made by healthcare providers, payers, and pharmaceutical companies. CER data come from retrospective analyses as well as prospective clinical trials. Here, we describe the development of a text-mining pipeline based on natural language processing (NLP) that extracts key information from three different trial data sources: NIH ClinicalTrials.gov, WHO International Clinical Trials Registry Platform (ICTRP), and Citeline Trialtrove. The pipeline leverages tailored terminologies to produce an integrated and structured output, capturing any trials in which pharmaceutical products of interest are compared with another therapy. The timely information alerts generated by this system provide the earliest and most complete picture of emerging clinical research. AU - Chang, Meiping AU - Chang, Man AU - Reed, Jane Z. AU - Milward, David AU - Xu, Jinghai James AU - Cornell, Wendy D. DA - 2016/03// DO - 10.1016/j.drudis.2016.01.012 IS - 3 L1 - internal-pdf://1156541312/Chang-2016-Developing timely insights into com.pdf PY - 2016 SN - 1359-6446 SP - 473-480 ST - Developing timely insights into comparative effectiveness research with a text-mining pipeline T2 - Drug Discovery Today TI - Developing timely insights into comparative effectiveness research with a text-mining pipeline UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1359644616000325/1-s2.0-S1359644616000325-main.pdf?_tid=2fefdec0-8330-11e6-97f1-00000aab0f6c&acdnat=1474815546_352287a9b4e965ac31b4a2b667bb2638 VL - 21 ID - 2101 ER - TY - JOUR AB - OBJECTIVES: Search filters have been developed and demonstrated for better information access to the immense and ever-growing body of publications in the biomedical domain. However, to date the number of filters remains quite limited because the current filter development methods require significant human efforts in manual document review and filter term selection. In this regard, we aim to investigate automatic methods for generating search filters. METHODS: We present an automated method to develop topic-specific filters on the basis of users' search logs in PubMed. Specifically, for a given topic, we first detect its relevant user queries and then include their corresponding clicked articles to serve as the topic-relevant document set accordingly. Next, we statistically identify informative terms that best represent the topic-relevant document set using a background set composed of topic irrelevant articles. Lastly, the selected representative terms are combined with Boolean operators and evaluated on benchmark datasets to derive the final filter with the best performance. RESULTS: We applied our method to develop filters for four clinical topics: nephrology, diabetes, pregnancy, and depression. For the nephrology filter, our method obtained performance comparable to the state of the art (sensitivity of 91.3%, specificity of 98.7%, precision of 94.6%, and accuracy of 97.2%). Similarly, high-performing results (over 90% in all measures) were obtained for the other three search filters. CONCLUSION: Based on PubMed click-through data, we successfully developed a high-performance method for generating topic-specific search filters that is significantly more efficient than existing manual methods. All data sets (topic-relevant and irrelevant document sets) used in this study and a demonstration system are publicly available at http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/downloads/CQ_filter/ AU - Li, J. AU - Lu, Z. DA - 2013 DO - 10.3414/ME12-01-0054 IS - 5 J2 - Methods Inf Med KW - *Access to Information *PubMed *User-Computer Interface clinical topic Data Mining/*methods/standards information retrieval Medical Subject Headings PubMed log analysis PubMed search filter United States Web Browser L1 - internal-pdf://1597272000/Li-2013-Developing topic-specific search filte.pdf LA - eng PY - 2013 SN - 0026-1270 0026-1270 SP - 395-402 ST - Developing topic-specific search filters for PubMed with click-through data T2 - Methods of information in medicine TI - Developing topic-specific search filters for PubMed with click-through data UR - http://methods.schattauer.de/contents/archivestandard/issue/1798/manuscript/19689/download.html VL - 52 ID - 334 ER - TY - JOUR AB - Information extraction from large data repositories is critical to Information Management solutions. In addition to prerequisite corpus analysis, to determine domain-specific characteristics of text resources, developing, refining and evaluating analytics entails a complex and lengthy process, typically requiring more than just domain expertise. Modern architectures for text processing, while facilitating reuse and (re-) composition of analytical pipelines, place additional constraints upon the analytics development, as domain experts need not only configure individual annotator components, but situate these within a fully functional annotator pipeline. We present the design, and current status, of a tool for configuring model-driven annotators, which abstracts away from annotator implementation details, pipeline composition constraints, and data management. Instead, the tool embodies support for all stages of ontology-centric model development cycle - from corpus analysis and concept definition, to model development and testing, to large scale evaluation, to easy and rapid composition of text applications deploying these concept models. With our design, we aim to meet the needs of domain experts, who are not necessarily expert NLP practitioners. AU - Drissi, Youssef AU - Boguraev, Branimir AU - Ferrucci, David AU - Keyser, Paul T. AU - Levas, Anthony DA - 2008 PY - 2008 SP - 3256-3263 ST - A Development Environment for Configurable Meta-Annotators in a Pipelined NLP Architecture T2 - Sixth International Conference on Language Resources and Evaluation, Lrec 2008 TI - A Development Environment for Configurable Meta-Annotators in a Pipelined NLP Architecture ID - 2192 ER - TY - JOUR AB - OBJECTIVES: For the measurement of patient-reported outcomes, such as (health-related) quality of life, often many measurement instruments exist that intend to measure the same construct. To facilitate instrument selection, our aim was to develop a highly sensitive search filter for finding studies on measurement properties of measurement instruments in PubMed and a more precise search filter that needs less abstracts to be screened, but at a higher risk of missing relevant studies. METHODS: A random sample of 10,000 PubMed records (01-01-1990 to 31-12-2006) was used as a gold standard. Studies on measurement properties were identified using an exclusion filter and hand searching. Search terms were selected from the relevant records in the gold standard as well as from 100 systematic reviews of measurement properties and combined based on sensitivity and precision. The performance of the filters was tested in the gold standard as well as in two validation sets, by calculating sensitivity, precision, specificity, and number needed to read. RESULTS: We identified 116 studies on measurement properties in the gold standard. The sensitive search filter was able to retrieve 113 of these 116 studies (sensitivity 97.4%, precision 4.4%). The precise search filter had a sensitivity of 93.1% and a precision of 9.4%. Both filters performed very well in the validation sets. CONCLUSION: The use of these search filters will contribute to evidence-based selection of measurement instruments in all medical fields. AU - Terwee, Caroline B. AU - Jansma, Elise P. AU - Riphagen, Ingrid I. AU - de Vet, Henrica C. W. DA - 2009/10//undefined DO - 10.1007/s11136-009-9528-5 IS - 8 J2 - Qual Life Res KW - *Health Status Indicators *PubMed *Quality of Life Bibliometrics Clinical Laboratory Techniques Confidence Intervals Data Collection Data Mining/*statistics & numerical data Evidence-Based Medicine/*methods Humans Information storage and retrieval Psychometrics Reference Standards Sensitivity and specificity Software/*statistics & numerical data Surveys and Questionnaires LA - eng PY - 2009 SN - 1573-2649 0962-9343 SP - 1115-1123 ST - Development of a methodological PubMed search filter for finding studies on measurement properties of measurement instruments T2 - Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation TI - Development of a methodological PubMed search filter for finding studies on measurement properties of measurement instruments VL - 18 ID - 337 ER - TY - JOUR AB - In this paper, we will report annotation experiments which show the advantage of applying a formal ontological methodology for constructing a schema for semantic annotation to mark up terms in the public health domain. We demonstrate that (1) a traditional task-oriented approach with a simple schema can cause several critical problems, and (2) the performance of annotators and the quality of annotated corpus is improved by applying formal ontological methodology in analyzing 'markable' categories of concepts and restructuring the schema. These results show that disciplined methods are useful for controlling the development of even quite modest semantic structures like annotation schema for entity recognition. We also report philosophical/logical considerations and decisions we made when we adopted the formal approach. AU - Kawazoe, Ai AU - Jin, Lihua AU - Shigematsu, Mika AU - Bekki, Daisuke AU - Barrero, Roberto AU - Taniguchi, Kiyosu AU - Collier, Nigel DA - 2009 DO - 10.3233/AO-2009-0062 IS - 1 PY - 2009 SN - 1570-5838 SP - 5-20 ST - The development of a schema for semantic annotation: Gain brought by a formal ontological method T2 - Applied Ontology TI - The development of a schema for semantic annotation: Gain brought by a formal ontological method UR - http://content.iospress.com/articles/applied-ontology/ao062 VL - 4 ID - 2143 ER - TY - JOUR AB - This paper proposes a knowledge discovery system from annotated time series data, they are expressed as sequences of numerical values. They generally have a lot of important information in background, but it is not included in data. Analysis methods without background information have limitations. Several studies propose meta data approaches, which is often expressed as a short text, the techniques are insufficient for our purpose. We therefore develop a method that uses annotations which are compact expressions of back ground information. Subsequences obtained by using domain knowledge are organized into groups based on a distance measure. Among the groups some of them are identified as important features. In order to measure importance, we develop a method that uses global and local frequencies of subsequences. This idea is similar to the TFIDF method, which is used in text mining. A subsequence that represents an important group is regarded as a feature pattern. In addition, we extract association rules over feature patterns and annotations. We introduce a new concept, called max allowance length, to focus only on influential annotations to a pattern. We demonstrate an effect of the proposed method by using financial data. 2012 The Institute of Electrical Engineers of Japan. AU - Sugimura, Hiroshi AU - Matsumoto, Kazunori DA - 2012 DO - 10.1541/ieejeiss.132.592 IS - 4 J2 - IEEJ Transactions on Electronics, Information and Systems KW - Classification (of information) data mining feature extraction knowledge engineering time series N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 03854221 SP - 592-597 ST - Development of knowledge discovery system from annotated time sereis data T2 - IEEJ Transactions on Electronics, Information and Systems TI - Development of knowledge discovery system from annotated time sereis data UR - http://dx.doi.org/10.1541/ieejeiss.132.592 VL - 132 ID - 1193 ER - TY - JOUR AB - BACKGROUND: Different approaches can be adopted for the development of search strategies of systematic reviews. The objective approach draws on already established text analysis methods for developing search filters. Our aim was to determine whether the objective approach for the development of search strategies was noninferior to the conceptual approach commonly used in Cochrane reviews (CRs). METHODS: We conducted a search for CRs published in the Cochrane Library. The studies included in the CRs were searched for in MEDLINE and represented the total set. We then tested whether references previously removed could be identified via the objective approach. We also reconstructed the original search strategies from the CRs to determine why references could not be identified by the objective approach. As we performed the validation of the search strategies without study filters, we used only sensitivity as a quality measure and did not calculate precision. RESULTS: The objective approach yielded a mean sensitivity of 96% based on 13 searches. The noninferiority test showed that this approach was noninferior to the conceptual approach used in the CRs (P < 0.002). An additional descriptive analysis showed that the original MEDLINE strategies could identify only 86% of all references; however, this lower sensitivity was largely due to one CR. CONCLUSION: To the best of our knowledge, our findings indicate for the first time that the objective approach for the development of search strategies is noninferior to the conceptual approach. AU - Hausner, Elke AU - Guddat, Charlotte AU - Hermanns, Tatjana AU - Lampert, Ulrike AU - Waffenschmidt, Siw DA - 2015/02//undefined DO - 10.1016/j.jclinepi.2014.09.016 IS - 2 J2 - J Clin Epidemiol KW - *Review Literature as Topic *Validation Studies as Topic data mining Humans Information storage and retrieval Information Storage and Retrieval/*methods/*standards/trends Medline Publishing/*standards Reproducibility of results Retrospective studies Search Engine/*standards Sensitivity and specificity L1 - internal-pdf://0310242589/Hausner-2015-Development of search strategies.pdf LA - eng PY - 2015 SN - 1878-5921 0895-4356 SP - 191-199 ST - Development of search strategies for systematic reviews: validation showed the noninferiority of the objective approach T2 - Journal of clinical epidemiology TI - Development of search strategies for systematic reviews: validation showed the noninferiority of the objective approach UR - http://www.jclinepi.com/article/S0895-4356(14)00387-4/pdf VL - 68 ID - 122 ER - TY - JOUR AB - OBJECTIVE - To deter-mine the concurrent, prospective, and time-concordant relationships among major depressive disorder (MDD), depressive symptoms, and diabetes distress With glycemic control. RESEARCH DESIGN AND METHODS - In a noninterventional Study, we assessed 506 type 2 diabetic patients for MDD (Composite International Diagnostic interview), for depressive symptoms (Center for Epidemiological Studies-Depression), and for diabetes distress (Diabetes Distress Scale), along With self-management, stress, demographics, and diabetes status, at baseline and 9 and 18 months later. Using multilevel modeling (MLM), we explored the cross-sectional relationships of the three affective variables with A1C, the prospective relationships of baseline variables with change in A1C over time, and the time-concordant relationships with A1C. RESULTS - All three affective variables were moderately intercorrelated, although the relationship between depressive symptoms and diabetes distress was greater than the relationship of either with MDD. In the cross-sectional MLM, only diabetes distress but not MDD or depressive symptoms was significantly associated with A1C. None of the three affective variables were linked with A1C in prospective analyses. Only diabetes distress displayed significant time-concordant relationships with A1C. CONCLUSIONS - We found no concurrent or longitudinal association between MDD or depressive symptoms With A1C, whereas both concurrent and time-concordant relationships were found between diabetes distress and A1C. What has been called "depression" among type 2 diabetic patients may really be two conditions, MDD and diabetes distress, With only the latter displaying significant associations With A1C. Ongoing evaluation of both diabetes distress and MDD may be helpful in clinical settings. AU - Fisher, Lawrence AU - Mullan, Joseph T. AU - Arean, Patricia AU - Glasgow, Russell E. AU - Hessler, Danielle AU - Masharani, Umesh DA - 2010/01// DO - 10.2337/dc09-1238 IS - 1 L1 - internal-pdf://2542193012/Fisher-2010-Diabetes Distress but Not Clinical.pdf PY - 2010 SN - 0149-5992 SP - 23-28 ST - Diabetes Distress but Not Clinical Depression or Depressive Symptoms Is Associated With Glycemic Control in Both Cross-Sectional and Longitudinal Analyses T2 - Diabetes Care TI - Diabetes Distress but Not Clinical Depression or Depressive Symptoms Is Associated With Glycemic Control in Both Cross-Sectional and Longitudinal Analyses UR - http://care.diabetesjournals.org/content/diacare/33/1/23.full.pdf VL - 33 ID - 2281 ER - TY - JOUR AU - Chafen, Jennifer J. Schneider AU - Newberry, Sydne J. AU - Riedl, Marc A. AU - Bravata, Dena M. AU - Maglione, Margaret AU - Suttorp, Marika J. AU - Sundaram, Vandana AU - Paige, Neil M. AU - Towfigh, Ali AU - Hulley, Benjamin J. AU - others DA - 2010 DP - Google Scholar IS - 18 PY - 2010 SP - 1848-1856 ST - Diagnosing and managing common food allergies T2 - Jama TI - Diagnosing and managing common food allergies: a systematic review UR - http://archneur.jamanetwork.com/article.aspx?articleid=185820 http://jama.jamanetwork.com/article.aspx?articleid=185820 VL - 303 Y2 - 2016/09/24/16:07:04 ID - 2427 ER - TY - CONF AB - Classification is an important data mining task in biomedicine. For easy comprehensibility, rules are preferrable to another functions in the analysis of biomedical data. The aim of this work is to use a new fuzzy immune rule-based classification system for a medical diagnosis of a cardiovascular disease. In this study, fuzzy immune approach (FIA), which can be improved by ours, is a new method and firstly, it is applied to ECG dataset. The performance of the proposed approach, in terms of classification accuracy, ROC curves, and area under the ROC curve (AUC) was compared with traditional classifier schemes: C4.5, Naive Bayes, KStar, Meta END, and ANN. The classification accuracies and AUC statistics of FIA for the data sets used are the highest among the classifiers reported on the UCI website and other classifiers used for related problems and tested by cross validation. AU - Unold, O. C3 - Adaptive and Natural Computing Algorithms. 10th International Conference, ICANNGA 2011, 14-16 April 2011 DA - 2011 DO - 10.1007/978-3-642-20267-4_28 KW - cardiovascular system data analysis data mining Diseases Fuzzy Logic fuzzy set theory learning (artificial intelligence) medical diagnostic computing pattern classification PB - Springer Verlag PY - 2011 SP - 265-74 ST - Diagnosis of Cardiac Arrhythmia Using Fuzzy Immune Approach T3 - Adaptive and Natural Computing Algorithms. Proceedings of the 10th International Conference, ICANNGA 2011 TI - Diagnosis of Cardiac Arrhythmia Using Fuzzy Immune Approach UR - http://dx.doi.org/10.1007/978-3-642-20267-4_28 VL - pt.II ID - 1518 ER - TY - CONF AB - In vivo tissue condition diagnosis is a challenging engineering problem. The goal is to develop a technology that can eliminate tissue removal and external examination and enable less invasive surgical techniques to be used with a precision provided by a knowledge of the tissue within the body. Particularly challenging is the task of automating the diagnosis of the tissue condition. In this work, a metamodeling technique based on Non-Uniform Rational B-splines is used to analyze and automate the diagnosis of human tissue conditions. The resulting diagnoses are compared to results from medical doctors and the challenges in such data analysis are discussed. The technique has implications for both biomedical and electromechical system fault diagnosis and diagnostics. Copyright 2010 by ASME. AU - Turner, Cameron J. C3 - ASME 2010 International Mechanical Engineering Congress and Exposition, IMECE 2010, November 12, 2010 - November 18, 2010 DA - 2010 DO - 10.1115/IMECE2010-38323 KW - Diagnosis Mechanical engineering Tissue Tissue engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Society of Mechanical Engineers PY - 2010 SP - 341-346 ST - Diagnosis via NURBs metamodel T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) TI - Diagnosis via NURBs metamodel UR - http://dx.doi.org/10.1115/IMECE2010-38323 VL - 2 ID - 560 ER - TY - JOUR AU - Coker, Tumaini R. AU - Chan, Linda S. AU - Newberry, Sydne J. AU - Limbos, Mary Ann AU - Suttorp, Marika J. AU - Shekelle, Paul G. AU - Takata, Glenn S. DA - 2010 DP - Google Scholar IS - 19 PY - 2010 SP - 2161-2169 ST - Diagnosis, microbial epidemiology, and antibiotic treatment of acute otitis media in children T2 - Jama TI - Diagnosis, microbial epidemiology, and antibiotic treatment of acute otitis media in children: a systematic review UR - http://archopht.jamanetwork.com/article.aspx?articleid=186896 http://jama.jamanetwork.com/article.aspx?articleid=186896 VL - 304 Y2 - 2016/09/24/15:36:22 ID - 2343 ER - TY - JOUR AB - BACKGROUND AND OBJECTIVES: Physicians frequently search bibliographic databases, such as MEDLINE via PubMed, for best evidence for patient care. The objective of this study was to develop and test search filters to help physicians efficiently retrieve literature related to dialysis (hemodialysis or peritoneal dialysis) from all other articles indexed in PubMed, Ovid MEDLINE, and Embase. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: A diagnostic test assessment framework was used to develop and test robust dialysis filters. The reference standard was a manual review of the full texts of 22,992 articles from 39 journals to determine whether each article contained dialysis information. Next, 1,623,728 unique search filters were developed, and their ability to retrieve relevant articles was evaluated. RESULTS: The high-performance dialysis filters consisted of up to 65 search terms in combination. These terms included the words "dialy" (truncated), "uremic," "catheters," and "renal transplant wait list." These filters reached peak sensitivities of 98.6% and specificities of 98.5%. The filters' performance remained robust in an independent validation subset of articles. CONCLUSIONS: These empirically derived and validated high-performance search filters should enable physicians to effectively retrieve dialysis information from PubMed, Ovid MEDLINE, and Embase. AU - Iansavichus, Arthur V. AU - Haynes, R. Brian AU - Lee, Christopher W. C. AU - Wilczynski, Nancy L. AU - McKibbon, Ann AU - Shariff, Salimah Z. AU - Blake, Peter G. AU - Lindsay, Robert M. AU - Garg, Amit X. DA - 2012/10//undefined DO - 10.2215/CJN.02360312 IS - 10 J2 - Clin J Am Soc Nephrol KW - *Bibliometrics *MEDLINE *PubMed *Renal Dialysis/standards *Terminology as Topic *Vocabulary, Controlled Data Mining/*methods/standards Evidence-Based Medicine Humans Reproducibility of results L1 - internal-pdf://1069117832/Iansavichus-2012-Dialysis search filters for P.pdf LA - eng PY - 2012 SN - 1555-905X 1555-9041 SP - 1624-1631 ST - Dialysis search filters for PubMed, Ovid MEDLINE, and Embase databases T2 - Clinical journal of the American Society of Nephrology : CJASN TI - Dialysis search filters for PubMed, Ovid MEDLINE, and Embase databases UR - http://cjasn.asnjournals.org/content/7/10/1624.full.pdf VL - 7 ID - 340 ER - TY - JOUR AB - microRNAs (miRNAs) are short non-coding RNA species, which act as potent gene expression regulators. Accurate identification of miRNA targets is crucial to understanding their function. Currently, hundreds of thousands of miRNA:gene interactions have been experimentally identified. However, this wealth of information is fragmented and hidden in thousands of manuscripts and raw next-generation sequencing data sets. DIANA-TarBase was initially released in 2006 and it was the first database aiming to catalog published experimentally validated miRNA:gene interactions. DIANA-TarBase v7.0 (http://www.microrna.gr/tarbase) aims to provide for the first time hundreds of thousands of high-quality manually curated experimentally validated miRNA:gene interactions, enhanced with detailed meta-data. DIANA-TarBase v7.0 enables users to easily identify positive or negative experimental results, the utilized experimental methodology, experimental conditions including cell/tissue type and treatment. The new interface provides also advanced information ranging from the binding site location, as identified experimentally as well as in silico, to the primer sequences used for cloning experiments. More than half a million miRNA:gene interactions have been curated from published experiments on 356 different cell types from 24 species, corresponding to 9- to 250-fold more entries than any other relevant database. DIANA-TarBase v7.0 is freely available. AU - Vlachos, Ioannis S. AU - Paraskevopoulou, Maria D. AU - Karagkouni, Dimitra AU - Georgakilas, Georgios AU - Vergoulis, Thanasis AU - Kanellos, Ilias AU - Anastasopoulos, Ioannis-Laertis AU - Maniou, Sofia AU - Karathanou, Konstantina AU - Kalfakakou, Despina AU - Fevgas, Athanasios AU - Dalamagas, Theodore AU - Hatzigeorgiou, Artemis G. DA - 2015/01//undefined DO - 10.1093/nar/gku1215 IS - Database issue J2 - Nucleic Acids Res KW - *Databases, Nucleic Acid Abstracting and Indexing as Topic Binding Sites data mining Internet MicroRNAs/*metabolism RNA, Messenger/*metabolism User-Computer Interface LA - eng PY - 2015 SN - 1362-4962 0305-1048 SP - D153-159 ST - DIANA-TarBase v7.0: indexing more than half a million experimentally supported miRNA:mRNA interactions T2 - Nucleic acids research TI - DIANA-TarBase v7.0: indexing more than half a million experimentally supported miRNA:mRNA interactions VL - 43 ID - 371 ER - TY - CONF AB - Urinary tract calculi are a universal source of renal pathology. The present article summarizes available date from epidemiological and clinical studies to elucidate the impact of diet, fluid intake and urine volume on risk on urinary stone formation and maybe the prevention of stone recurrence. Dietary calcium lowers the risk of nephrolithiais due to a decreased absorption of dietary oxalate that is bound by intestinal calcium. A low urinary volume is an important risk factor in urinary stone formation. The objective of this study was to evaluate if the are efficiently the dietetic measurements in meta-and prophilaxia nephrolithiasis disease by decreased of calcium intake and increasing fluid intake. SGEM2013 All Rights Reserved by the International Multidisciplinary Scientific GeoConference SGEM. AU - Popescu, Sofia AU - Velciov, Ariana AU - Pirvulescu, Luminita AU - Claudia, Elena AU - Preda, Anisoara AU - Darlea, Auruta AU - Bordean, Despina Maria C3 - 13th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2013, June 16, 2013 - June 22, 2013 DA - 2013 DO - 10.5593/SGEM2013/BF6/S25.008 KW - Biomineralization calcium Oxalic acid Pathology Principal Component Analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Multidisciplinary Scientific Geoconference PY - 2013 SN - 13142704 SP - 129-134 ST - Dietary factors in calcium oxalate urolithiasis T3 - International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM TI - Dietary factors in calcium oxalate urolithiasis UR - http://dx.doi.org/10.5593/SGEM2013/BF6/S25.008 ID - 750 ER - TY - CONF AB - Background Many therapies are commonly used to help treat irritable bowel syndrome (IBS), including pharmacological and non-pharmacological approaches. However, there is a lack of direct evidence to help the clinicians make a decision. Objectives The aim of this review is to determine whether one of the approaches is more benefit than any of the others for the treatment of IBS through adjusted indirect comparison. Methods We searched the Cochrane Library (from inception to March 2014) using the keyword irritable bowel syndrome for systematic reviews. According to the pre-specified selection criteria, qualified trials were selected from the identified reviews. We calculated pooled random- or fixed-effects estimates according to the type of treatment for the proportions of treatment response. Adjusted indirect comparison was used for the pooled RRs of any two types of treatments with placebo as the common control. The primary outcome was improvement of patients global assessment. The second outcome included the improvement of IBS-symptom score and improvement of symptoms of abdominal pain. Results Nine systematic reviews were identified including 203 trials. Ultimately, 62 studies (N= 11,326) fulfilled inclusion criteria. For primary outcome global assessment, herbal medicine was associated with greater effects than western active medicine (RR, 1.34 [95%CI, 1.03-1.75]). For secondary outcome, the adjusted indirect comparison showed that there was no statistically significant difference between acupuncture and western active medicine in symptom severity. Herbal medicine may possibly be more effective than western active medicine in reducing abdominal pain, although the wide confidence intervals preclude any definite conclusions, with a RR of 1.18 [95%CI, 0.65-2.15]. Conclusions Herbal medicine may be more effective than western active medicine for the treatment of irritable bowel syndrome, especially in relieving the global symptoms, which may help the clinicians to make a decision in routine practice. AU - Qian, Li AU - Wen-ting, Liu AU - Jing-jun, Xu AU - Jian-hui, Xie AU - Xiao-bo, Yang C3 - 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2-5 Nov. 2014 DA - 2014 DO - 10.1109/BIBM.2014.6999327 KW - data mining decision making information retrieval medical computing medical disorders Patient treatment Reviews statistical analysis text analysis PB - IEEE PY - 2014 SP - 67-71 ST - Different interventions for the treatment of irritable bowel syndrome-adjusted indirect comparison T3 - 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) TI - Different interventions for the treatment of irritable bowel syndrome-adjusted indirect comparison UR - http://dx.doi.org/10.1109/BIBM.2014.6999327 ID - 783 ER - TY - JOUR AB - Objective. - Diabetes mellitus type 2 (T2DM) is a metabolic disease that has become a pressing issue, with potential adverse impact on mental health. We aimed to explore the potential molecular mechanism of T2DM. Material and methods. - GSE38642 microarray data downloaded from gene expression omnibus was used to identify the differentially expressed genes (DEGs). Profiling of complex functionality (ProfCom) was used to analyze the complex function and mine T2DM signature genes. Finally, the differential expression network (DEN) was constructed. Results. - We identified 147 DEGs including 59 up- and 88 down-regulated genes. With increasing of degree, the specificity of functional description of DEGs was higher. GO term of "integral to membrane and immune response (not receptor activity) not regulation of immune response" in degree 4 was enriched by 6 DEGs, while the GO term of "immune response" in degree 1 was enriched by 12 DEGs. Two complex functions of integral to membrane an immune response and response to glucose stimulus were enriched by 11 T2DM signature genes including ARG2, GLP1R, PFKFB2, PTPRN, ACSL5, CCR7, IL2RA, IL7R, IL1R2, IL1RL1 and CHST4. Finally, DEN including 11 signature genes and 491 edges was obtained. Conclusion. - The identified DEGs especially 11 signature genes such as PTPRN, GLP1R, CCR7 and IL2RA may play important roles in the pathogenesis of T2DM. (C) 2015 Elsevier Masson SAS. All rights reserved. AU - Cui, Ying AU - Chen, Wen AU - Chi, Jinfeng AU - Wang, Lei DA - 2016/02// DO - 10.1016/j.ando.2015.11.002 IS - 1 L1 - internal-pdf://0690367770/Cui-2016-Differential expression network analy.pdf PY - 2016 SN - 0003-4266 SP - 22-29 ST - Differential expression network analysis for diabetes mellitus type 2 based on expressed level of islet cells T2 - Annales D Endocrinologie TI - Differential expression network analysis for diabetes mellitus type 2 based on expressed level of islet cells UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0003426615011300/1-s2.0-S0003426615011300-main.pdf?_tid=9e83ccc4-8331-11e6-9403-00000aacb35d&acdnat=1474816161_c025c8510c998bea488df3d047d44eb7 VL - 77 ID - 2280 ER - TY - CONF AB - We collected more than ten million Microsoft Office documents from public websites, analyzed the metadata stored in each document and extracted information related to social activities. Our analysis revealed the existence of exactly identified cliques of users that edit, revise and collaborate on industrial and military content. We also examined cliques in documents downloaded from Fortune-500 company websites. We constructed their graphs and measured their properties. The graphs contained many connected components and presented social properties. The a priori knowledge of a company's social graph may significantly assist an adversary to launch targeted attacks, such as targeted advertisements and phishing emails. Our study demonstrates the privacy risks associated with metadata by cross-correlating all members identified in a clique with users of Twitter. We show that it is possible to match authors collaborating in the creation of a document with Twitter accounts. To the best of our knowledge, this study is the first to identify individuals and create social cliques solely based on information derived from document metadata. Our study raises major concerns about the risks involved in privacy leakage due to document metadata. AU - Gessiou, E. AU - Volanis, S. AU - Athanasopoulos, E. AU - Markatos, E. P. AU - Ioannidis, S. C3 - GLOBECOM 2012 - 2012 IEEE Global Communications Conference, 3-7 Dec. 2012 DA - 2012 DO - 10.1109/GLOCOM.2012.6503202 KW - Data privacy document handling Graph theory meta data Social networking (online) PB - IEEE PY - 2012 SP - 744-50 ST - Digging up social structures from documents on the web T3 - GLOBECOM 2012 - 2012 IEEE Global Communications Conference TI - Digging up social structures from documents on the web UR - http://dx.doi.org/10.1109/GLOCOM.2012.6503202 ID - 700 ER - TY - JOUR AU - Brownstein, John S. AU - Freifeld, Clark C. AU - Madoff, Lawrence C. DA - 2009 DP - Google Scholar IS - 21 L1 - internal-pdf://0661761152/Brownstein-2009-Digital disease detection—harn.pdf PY - 2009 SP - 2153-2157 ST - Digital disease detection—harnessing the Web for public health surveillance T2 - New England Journal of Medicine TI - Digital disease detection—harnessing the Web for public health surveillance UR - http://www.nejm.org/doi/full/10.1056/nejmp0900702 http://www.nejm.org/doi/pdf/10.1056/NEJMp0900702 VL - 360 Y2 - 2016/09/24/15:39:07 ID - 2374 ER - TY - CONF A2 - Urs, S. R. A2 - Jin-Cheon, Na A2 - Buchanan, G. AB - The following topics are dealt with: information retrieval; social architecture; information policy; digital library applications; digital library systems; data mining; collaboration networks; community-based curation; social media analysis; social network analysis; mobile devices; mobile services; metadata; and information extraction. C3 - Digital Libraries: Social Media and Community Networks. 15th International Conference on Asia-Pacific Digital Libraries, ICADL 2013, 9-11 Dec. 2013 DA - 2013 KW - data mining Digital Libraries information retrieval meta data mobile computing Social networking (online) PB - Springer International Publishing PY - 2013 SP - xvii+198 ST - Digital Libraries: Social Media and Community Networks. 15th International Conference on Asia-Pacific Digital Libraries, ICADL 2013. Proceedings: LNCS 8279 TI - Digital Libraries: Social Media and Community Networks. 15th International Conference on Asia-Pacific Digital Libraries, ICADL 2013. Proceedings: LNCS 8279 ID - 1591 ER - TY - JOUR AB - INTRODUCTION: After several decades' development, meta-analysis has become the pillar of evidence-based medicine. However, heterogeneity is still the threat to the validity and quality of such studies. Currently, Q and its descendant I(2) (I square) tests are widely used as the tools for heterogeneity evaluation. The core mission of this kind of test is to identify data sets from similar populations and exclude those are from different populations. Although Q and I(2) are used as the default tool for heterogeneity testing, the work we present here demonstrates that the robustness of these two tools is questionable. METHODS AND FINDINGS: We simulated a strictly normalized population S. The simulation successfully represents randomized control trial data sets, which fits perfectly with the theoretical distribution (experimental group: p = 0.37, control group: p = 0.88). And we randomly generate research samples Si that fits the population with tiny distributions. In short, these data sets are perfect and can be seen as completely homogeneous data from the exactly same population. If Q and I(2) are truly robust tools, the Q and I(2) testing results on our simulated data sets should not be positive. We then synthesized these trials by using fixed model. Pooled results indicated that the mean difference (MD) corresponds highly with the true values, and the 95% confidence interval (CI) is narrow. But, when the number of trials and sample size of trials enrolled in the meta-analysis are substantially increased; the Q and I(2) values also increase steadily. This result indicates that I(2) and Q are only suitable for testing heterogeneity amongst small sample size trials, and are not adoptable when the sample sizes and the number of trials increase substantially. CONCLUSIONS: Every day, meta-analysis studies which contain flawed data analysis are emerging and passed on to clinical practitioners as "updated evidence". Using this kind of evidence that contain heterogeneous data sets leads to wrong conclusion, makes chaos in clinical practice and weakens the foundation of evidence-based medicine. We suggest more strict applications of meta-analysis: it should only be applied to those synthesized trials with small sample sizes. We call upon that the tools of evidence-based medicine should keep up-to-dated with the cutting-edge technologies in data science. Clinical research data should be made available publicly when there is any relevant article published so the research community could conduct in-depth data mining, which is a better alternative for meta-analysis in many instances. AU - Li, Shi-jun AU - Jiang, Hua AU - Yang, Hao AU - Chen, Wei AU - Peng, Jin AU - Sun, Ming-wei AU - Lu, Charles Damien AU - Peng, Xi AU - Zeng, Jun DA - 2015 DO - 10.1371/journal.pone.0127538 IS - 5 J2 - PLoS One KW - *Meta-Analysis as Topic *Models, Theoretical L1 - internal-pdf://2399320402/Li-2015-The dilemma of heterogeneity tests in.pdf LA - eng PY - 2015 SN - 1932-6203 1932-6203 SP - e0127538 ST - The dilemma of heterogeneity tests in meta-analysis: a challenge from a simulation study T2 - PloS one TI - The dilemma of heterogeneity tests in meta-analysis: a challenge from a simulation study UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4449216/pdf/pone.0127538.pdf VL - 10 ID - 5 ER - TY - CONF AB - In this paper, we describe the development of a systematic review about the topic Discovering Frequent Itemsets on Uncertain Data. To the best of our knowledge, this work seems to be the first systematic review addressing the topic. We show the whole process executed and its findings. Initially we define a rigorous protocol to lead the process. In the first phase, we create a systematic mapping of the area. In addition, from the complete reading of each article, a panorama of this area is presented. We reveal the search engines that most publicize this topic and which publishing types, authors and research institutions are involved in these papers. Moreover we identify the algorithms and the classes of these algorithms most compared over the years, how are made these comparisons, as well as their availabilities. Therefore this systematic review becomes a rich material for understanding this knowledge area. AU - de Carvalho, J. V. AU - Ruiz, D. D. C3 - Machine Learning and Data Mining in Pattern Recognition. 9th International Conference, MLDM 2013, 19-25 July 2013 DA - 2013 DO - 10.1007/978-3-642-39712-7_30 KW - data mining Reviews Search Engines L1 - internal-pdf://1315634022/chp%253A10.1007%252F978-3-642-39712-7_30.pdf PB - Springer Verlag PY - 2013 SP - 390-404 ST - Discovering frequent itemsets on uncertain data: a systematic review T3 - Machine Learning and Data Mining in Pattern Recognition. 9th International Conference, MLDM 2013. Proceedings: LNCS 7988 TI - Discovering frequent itemsets on uncertain data: a systematic review UR - http://dx.doi.org/10.1007/978-3-642-39712-7_30 ID - 1362 ER - TY - CONF AB - On-line analytical processing (OLAP) systems based on multidimensional databases are essential elements of decision support. However, most existing data is stored in "ordinary" relational OLTP databases, i.e., data have to be (re-) modeled as multidimensional cubes before the advantages of OLAP tools are available. In this paper we present an approach for the automatic construction of multidimensional OLAP database schemas from existing relational OLTP databases, enabling easy OLAP design and analysis for most existing data sources. This is achieved through a set of practical and effective algorithms for discovering multidimensional schemas from relational databases. The algorithms take a wide range of available metadata into account in the discovery process, including functional and inclusion dependencies, and key and cardinality information. AU - Jensen, M. R. AU - Holmgren, T. AU - Pedersen, T. B. C3 - Data Warehousing and Knowledge Discovery. 6th International Conference, DaWaK 2004. Proceedings, 1-3 Sept. 2004 DA - 2004 KW - data mining Decision support systems distributed databases meta data relational databases PB - Springer-Verlag PY - 2004 SP - 138-48 ST - Discovering multidimensional structure in relational data T3 - Data Warehousing and Knowledge Discovery. 6th International Conference, DaWaK 2004. Proceedings (Lecture Notes in Comput. Sci. Vol.3181) TI - Discovering multidimensional structure in relational data ID - 953 ER - TY - CONF AB - The successful management of textual information is a rising challenge for all the researchers communities, in order firstly to assess its current and previous statuses and secondly to enrich the level of their metadata description. The huge amount of unstructured data that is produced has consequently populated text mining techniques for its interpretation, selection and metadata enrichment opportunities that provides. Scientific production regarding Digital Libraries (DLs) evaluation has been grown in size and has broaden the scope of coverage as it consists a complex and multidimensional field. The current study proposes a probabilistic topic modeling implemented on a domain corpus from the JCDL, ECDL/TDPL and ICADL conferences proceedings in the period 2001-2013, aiming at the unveiling of its topics and subject temporal analysis, for exploiting and extracting semantic metadata from large corpora in an automatic way. Springer International Publishing Switzerland 2015. AU - Papachristopoulos, Leonidas AU - Kleidis, Nikos AU - Sfakakis, Michalis AU - Tsakonas, Giannis AU - Papatheodorou, Christos C3 - 9th Metadata and Semantics Research Conference, MTSR 2015, September 9, 2015 - September 11, 2015 DA - 2015 DO - 10.1007/978-3-319-24129-6_9 KW - data mining Digital Libraries Metadata Semantics Statistics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 18650929 SP - 101-112 ST - Discovering the topical evolution of the digital library evaluation community T3 - Communications in Computer and Information Science TI - Discovering the topical evolution of the digital library evaluation community UR - http://dx.doi.org/10.1007/978-3-319-24129-6_9 VL - 544 ID - 1023 ER - TY - CONF AB - The user interested in mining a data set by means of the extraction of association rules has to formulate mining queries or meta-patterns for association rule mining, which specify the features of the particular data mining problem. In this paper, we propose an exploration technique for the discovery of association rule meta-patterns able to extract quality rule sets, i.e. association rule sets which are meaningful and useful for the user. The proposed method is based on simple heuristic analysis techniques, suitable for an efficient preliminary analysis performed before applying the computationally expensive techniques for mining association rules. Springer-Verlag Berlin Heidelberg 1999. AU - Psaila, Giuseppe C3 - 1st International Conference on Data Warehousing and Knowledge Discovery, DaWaK 1999, August 30, 1999 - September 1, 1999 DA - 1999 DO - 10.1007/3-540-48298-9_24 KW - Association rules data mining Data warehouses Heuristic methods Warehouses N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 1999 SN - 03029743 SP - 219-228 ST - Discovery of association rule meta-patterns T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Discovery of association rule meta-patterns UR - http://dx.doi.org/10.1007/3-540-48298-9_24 VL - 1676 ID - 1731 ER - TY - CONF AB - Sufficient statistics are especially appropriate for knowledge discovery from distributed databases, where it may be either too expensive or prohibited by confidentiality constraints to communicate individual level data across the network. The data of interest are of a type similar to those found in OLAP data cubes and data warehouses. They consist of both numerical and categorical attributes and are contained within a hierarchical structure. Using sufficient statistics in the form of aggregate data and accompanying statistical meta-data retrieved from a distributed database, we apply multi-level models to identify and present relationships between a single numerical attribute and a combination of other attributes at various levels of the hierarchy. On the basis of these relationships, rules in conjunctive normal form are induced. The significant attribute relationships and interactions are presented via a graphical interface rather than the traditional statistical table. Exceptions to these rules are discovered, and the user may browse these exceptions at different levels of the hierarchy. AU - Pairceir, R. AU - McClean, S. AU - Scotney, B. C3 - Proceedings of KDD-2000. Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 20-23 Aug. 2000 DA - 2000 DO - 10.1145/347090.347196 KW - data mining distributed databases Graphical user interfaces meta data statistical analysis PB - ACM PY - 2000 SP - 523-32 ST - Discovery of multi-level rules and exceptions from a distributed database T3 - Proceedings. KDD-2000. Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - Discovery of multi-level rules and exceptions from a distributed database UR - http://dx.doi.org/10.1145/347090.347196 ID - 1422 ER - TY - CONF AB - The rapid expansion of the Internet has resulted not only in the ever growing amount of data therein stored, but also in the burgeoning complexity of the concepts and phenomena pertaining to those data. This issue has been vividly compared [14] by the renowned statistician, prof. Friedman of Stanford University, to the advances in human mobility from the period of walking afoot to the era of jet travel. These essential changes in data have brought new challenges to the development of new data mining methods, especially that the treatment of these data increasingly involves complex processes that elude classic modeling paradigms. "Hot" datasets like biomedical, financial or netuser behavior data are just a few examples. Mining such temporal or stream data is on the agenda of many research centers and companies worldwide (see, e.g., [31,1]). In the data mining community, there is a rapidly growing interest in developing methods for the discovery of structures of temporal processes from data. Works on discovering models for processes from data have recently been undertaken by many renowned centers worldwide (e.g., [34, 19, 36, 9], www.isle.org/~langley/, soc.web.cse.unsw.edu.au/bibliography/discovery/index. html). We discuss a research direction for discovery od process models from data and domain knowledge within the program Wisdom technology (wistech) outlined recently in [15, 16]. Wisdom commonly means rightly judging based on available knowledge and interactions. This common notion can be refined. By wisdom, we understand an adaptive ability to make judgments correctly (in particular, correct decisions) to a satisfactory degree, having in mind real-life constraints. The intuitive nature of wisdom understood in this way can be metaphorically expressed by the so-called wisdom equation as shown in (1). wisdom = adaptive judgment + knowledge + interaction. (1) Wisdom could be treated as a certain type of knowledge. Especially, this type of knowledge is important at the highest level of hierarchy of meta-reasoning in intelligent agents. Wistech is a collection of techniques aimed at the further advancement of technologies to acquire, represent, store, process, discover, communicate, and learn wisdom in designing and implementing intelligent systems. These techniques include approximate reasoning by agents or teams of agents about vague concepts concerning real-life, dynamically changing, usually distributed systems in which these agents are operating. Such systems consist of other autonomous agents operating in highly unpredictable environments and interacting with each others. Wistech can be treated as the successor of database technology, information management, and knowledge engineering technologies. Wistech is the combination of the technologies represented in equation (1) and offers an intuitive starting point for a variety of approaches to designing and implementing computational models for wistech in intelligent systems. Knowledge technology in wistech is based on techniques for reasoning about knowledge, information, and data, techniques that enable to employ the current knowledge in problem solving. This includes, e.g., extracting relevant fragments of knowledge from knowledge networks for making decisions or reasoning by analogy. Judgment technology in wistech is covering the representation of agent perception and adaptive judgment strategies based on results of perception of real life scenes in environments and their representations in the agent mind. The role of judgment is crucial, e.g., in adaptive planning relative to the Maslov Hierarchy of agents' needs or goals. Judgment also includes techniques used for perception, learning, analysis of perceived facts, and adaptive refinement of approximations of vague complex concepts (from different levels of concept hierarchies in real-life problem solving) applied in modeling interactions in dynamically changing environments (in which cooperating, communicating, and competing agents exist) under uncertain and insufficient knowledge or resources. Interaction tech ology includes techniques for performing and monitoring actions by agents and environments. Techniques for planning and controlling actions are derived from a combination of judgment technology and interaction technology. There are many ways to build foundations for wistech computational models. One of them is based on the rough-granular computing (RGC). Rough-granular computing (RGC) is an approach for constructive definition of computations over objects called granules, aiming at searching for solutions of problems which are specified using vague concepts. Granules are obtained in the process called granulation. Granulation can be viewed as a human way of achieving data compression and it plays a key role in implementing the divide-and-conquer strategy in human problem-solving [38]. The approach combines rough set methods with other soft computing methods, and methods based on granular computing (GC). RGC is used for developing one of the possible wistech foundations based on approximate reasoning about vague concepts. As an opening point to the presentation of methods for discovery of process models from data we use the proposal by Zdzislaw Pawlak. He proposed in 1992 [27] to use data tables (information systems) as specifications of concurrent systems. Since then, several methods for synthesis of concurrent systems from data have been developed (see, e.g., [32]). Recently, it became apparent that rough set methods and information granulation have set out a promising perspective to the development of approximate reasoning methods in multi-agent systems. At the same time, it was shown that there exist significant limitations to prevalent methods of mining emerging very large datasets that involve complex vague concepts, phenomena or processes (see, e.g., [10, 30, 35]). One of the essential weaknesses of those methods is the lack of ability to effectively induce the approximation of complex concepts, the realization of which calls for the discovery of highly elaborated data patterns. Intuitively speaking, these complex target concepts are too far apart from available low-level sensor measurements. This results in huge dimensions of the search space for relevant patterns, which renders existing discovery methods and technologies virtually ineffective. In recent years, there emerged an increasingly popular view (see, e.g., [12, 18]) that one of the main challenges in data mining is to develop methods integrating the pattern and concept discovery with domain knowledge. In this lecture, the dynamics of complex processes is specified by means of vague concepts, expressed in natural languages, and of relations between those concepts. Approximation of such concepts requires a hierarchical modeling and approximation of concepts on subsequent levels in the hierarchy provided along with domain knowledge. Because of the complexity of the concepts and processes on top levels in the hierarchy, one can not assume that fully automatic construction of their models, or the discovery of data patterns required to approximate their components, would be straightforward. We propose to use in discovery of process models and their components through an interaction with domain experts. This interaction allows steering the discovery process, therefore makes it computationally feasible. Thus, the proposed approach transforms a data mining system into an experimental laboratory, in which the software system, aided by human experts, will attempt to discover: (i) process models from data bounded by domain constraints, (ii) patterns relevant to user, e.g., required in the approximation of vague components of those processes. This research direction has been pursued by our team, in particular, toward the construction of classifiers for complex concepts (see, e.g., [2-4, 6-8, 11, 20-23]) aided by domain knowledge integration. Advances in recent years indicate a possible expansion of so far conducted research into discovery of models for processes from temporal or spatio-temporal data involving complex objects. We discuss the rough-granular modeling (se , e.g., [29]) as the basis for discovery of processes from data. We also outline some perspectives of the presented approach for application in areas such as prediction from temporal financial data, gene expression networks, web mining, identification of behavioral patterns, planning, learning interaction (e.g., cooperation protocols or coalition formation), autonomous prediction and control by UAV, summarization of situation, or discovery of language for communication. The novelty of the proposed approach for the discovery of process models from data and domain knowledge lies in combining, on one side, a number of novel methods of granular computing for wistech developed using the rough set methods and other known approaches to the approximation of vague, complex concepts (see, e.g., [2-8, 17, 20-23, 25, 26, 28, 29, 37, 38]), with, on the other side, the discovery of process' structures from data through an interactive collaboration with domain experts(s) (see, e.g., [2-8, 17, 20-23, 29]). Springer-Verlag Berlin Heidelberg 2007. AU - Skowron, Andrzej C3 - 2nd International Conference on Pattern Recognition and Machine Intelligence, PReMI 2007, December 18, 2007 - December 22, 2007 DA - 2007 KW - Bibliographic retrieval systems Computational complexity Computer operating systems data mining Internet knowledge engineering Mathematical models N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2007 SN - 03029743 SP - 192-197 ST - Discovery of process models from data and domain knowledge: A rough-granular approach T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Discovery of process models from data and domain knowledge: A rough-granular approach VL - 4815 LNCS ID - 1137 ER - TY - CONF A2 - Lange, S. A2 - Satoh, K. A2 - Smith, C. H. AB - The following topics are dealt with: data mining; graphical model; knowledge discovery; structured pattern discovery; machine learning; genomics; meta learning; neural network; natural science; human factors; pattern clustering; scientific discovery; statistical method. C3 - Discovery Science. 5th International Conference, DS 2002. Proceedings, 24-26 Nov. 2002 DA - 2002 KW - data mining humanities learning (artificial intelligence) Natural sciences computing pattern classification Pattern recognition statistical analysis PB - Springer-Verlag PY - 2002 SP - xiii+464 ST - Discovery Science 5th International Conference, DS 2002. Proceedings (Lecture Notes in Computer Science Vol.2534) TI - Discovery Science 5th International Conference, DS 2002. Proceedings (Lecture Notes in Computer Science Vol.2534) ID - 1426 ER - TY - JOUR AU - McEvoy, Bradley W. AU - Tiwari, Ram C. DA - 2012/08// DO - 10.1214/12-STS381A IS - 3 PY - 2012 SN - 0883-4237 SP - 340-343 ST - Discussion of "Multivariate Bayesian Logistic Regression for Analysis of Clinical Trial Safety Issues" by W. DuMouchel T2 - Statistical Science TI - Discussion of "Multivariate Bayesian Logistic Regression for Analysis of Clinical Trial Safety Issues" by W. DuMouchel VL - 27 ID - 1906 ER - TY - JOUR AB - Epidemiological studies suggested that obesity increases the risk of colorectal cancer (CRC). The genetic connection between CRC and obesity is multifactorial and inconclusive. In this study, we hypothesize that the study of shared comorbid diseases between CRC and obesity can offer unique insights into common genetic basis of these two diseases. We constructed a comorbidity network based on mining health data for millions of patients. We developed a novel approach and extracted the diseases that play critical roles in connecting obesity and CRC in the comorbidity network. Our approach was able to prioritize metabolic syndrome and diabetes, which are known to be associated with obesity and CRC through insulin resistance pathways. Interestingly, we found that osteoporosis was highly associated with the connection between obesity and CRC. Through gene expression meta-analysis, we identified novel genes shared among CRC, obesity and osteoporosis. Literature evidences support that these genes may contribute in explaining the genetic overlaps between obesity and CRC. AU - Chen, Yang AU - Li, Li AU - Xu, Rong DA - 2015 J2 - AMIA Jt Summits Transl Sci Proc KW - association rule mining colorectal cancer comorbidity network gene expression obesity osteoporosis L1 - internal-pdf://2039723618/Chen-2015-Disease Comorbidity Network Guides t.pdf LA - eng PY - 2015 SN - 2153-4063 SP - 201-206 ST - Disease Comorbidity Network Guides the Detection of Molecular Evidence for the Link Between Colorectal Cancer and Obesity T2 - AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science TI - Disease Comorbidity Network Guides the Detection of Molecular Evidence for the Link Between Colorectal Cancer and Obesity UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525229/pdf/2092390.pdf VL - 2015 ID - 225 ER - TY - JOUR AB - Learning environments aim to deliver efficacious instruction, but rarely take into consideration the motivational factors involved in the learning process. However, motivational aspects like engagement play an important role in effective learning-engaged learners gain more. E-Learning systems could be improved by tracking students' disengagement that, in turn, would allow personalized interventions at appropriate times in order to reengage students. This idea has been exploited several times for Intelligent Tutoring Systems, but not yet in other types of learning environments that are less structured. To address this gap, our research looks at online learning-content-delivery systems using educational data mining techniques. Previously, several attributes relevant for disengagement prediction were identified by means of log-file analysis on HTML-Tutor, a web-based learning environment. In this paper, we investigate the extendibility of our approach to other systems by studying the relevance of these attributes for predicting disengagement in a different e-learning system. To this end, two validation studies were conducted indicating that the previously identified attributes are pertinent for disengagement prediction, and two new meta-attributes derived from log-data observations improve prediction and may potentially be used for automatic log-file annotation. AU - Cocea, M. AU - Weibelzahl, S. DA - 2011/02// DO - 10.1109/TLT.2010.14 IS - 2 J2 - IEEE Transactions on Learning Technologies KW - hypermedia markup languages intelligent tutoring systems Internet PY - 2011 SN - 1939-1382 SP - 114-24 ST - Disengagement Detection in Online Learning: Validation Studies and Perspectives T2 - IEEE Transactions on Learning Technologies TI - Disengagement Detection in Online Learning: Validation Studies and Perspectives UR - http://dx.doi.org/10.1109/TLT.2010.14 VL - 4 ID - 714 ER - TY - JOUR AB - PURPOSE: The purpose of this systematic review is to evaluate and compare the risk of dissemination metastasis (wound, port-side metastases and peritoneal seeding) after laparoscopic colorectal surgery and conventional open surgery for colorectal cancer. MATERIALS AND METHODS: The Authors searched relevant randomized controlled trials between January 1998 and July 2012. RESULTS: Wound, port-site metastases and peritoneal seeding were rare and no significant differences occurred between the two groups. The port-site and extraction site recurrence were likely to be the results of suboptimal surgical techniques and occurred in the early phase of the learning curve. The authors also found no significant differences in overall, local and distant recurrences. No significant differences between laparoscopic and open surgery were found in cancer-related mortality during the follow up period of the study (7 RCTs, 3525 patients, 12.8% vs. 14.00%; OR (fixed) 0.83, 95% CI 0.68-1.02), with no significant heterogeneity (p = 0.35). CONCLUSIONS: The literature supports the implementation of laparoscopic surgery into daily practice. Laparoscopic surgery can be used for safe and radical resection of cancer in the right, left, sigmoid colon and rectum. However further studies should address whether laparoscopic surgery is superior to open surgery in this setting. AU - Zanghi, A. AU - Cavallaro, A. AU - Piccolo, G. AU - Fisichella, R. AU - Di Vita, M. AU - Sparta, D. AU - Zanghi, G. AU - Berretta, S. AU - Palermo, F. AU - Cappellani, A. DA - 2013/05//undefined IS - 9 J2 - Eur Rev Med Pharmacol Sci KW - Colorectal Neoplasms/mortality/*pathology/*surgery Colorectal Surgery/*adverse effects data mining Humans Laparoscopy/*adverse effects Neoplasm Metastasis Odds Ratio Randomized Controlled Trials as Topic Recurrence Treatment Outcome LA - eng PY - 2013 SN - 1128-3602 1128-3602 SP - 1174-1184 ST - Dissemination metastasis after laparoscopic colorectal surgery versus conventional open surgery for colorectal cancer: a metanalysis T2 - European review for medical and pharmacological sciences TI - Dissemination metastasis after laparoscopic colorectal surgery versus conventional open surgery for colorectal cancer: a metanalysis VL - 17 ID - 105 ER - TY - JOUR AB - Standards of care pertain to crafting and implementing patient-centered treatment interventions. Standards of care must take into consideration the patient's gender, ethnicity, medical and dental history, insurance coverage (or socioeconomic level, if a private patient), and the timeliness of the targeted scientific evidence. This resolves into a process by which clinical decision-making about the optimal patient-centered treatment relies on the best available research evidence, and all other necessary inputs and factors to provide the best possible treatment. Standards of care must be evidence-based, and not merely based on the evidence - the dichotomy being critical in contemporary health services research and practice. Evidence-based standards of care must rest on the best available evidence that emerges from a concerted hypothesis-driven process of research synthesis and meta-analysis. Health information technology needs to become an every-day reality in health services research and practice to ensure evidence-based standards of care. Current trends indicate that user-friendly methodologies, for the dissemination of evidence-based standards of care, must be developed, tested and distributed. They should include approaches for the quantification and analysis of the textual content of systematic reviews and of their summaries in the form of critical reviews and lay-language summaries. AU - Barkhordarian, Andre AU - Hacker, Brett AU - Chiappelli, Francesco DA - 2011 IS - 6 J2 - Bioinformation KW - contextual analysis evidence-based decision-making quantification standard of care systematic reviews text mining L1 - internal-pdf://1395235128/Barkhordarian-2011-Dissemination of evidence-b.pdf LA - eng PY - 2011 SN - 0973-2063 0973-2063 SP - 315-319 ST - Dissemination of evidence-based standards of care T2 - Bioinformation TI - Dissemination of evidence-based standards of care UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280503/pdf/97320630007315.pdf VL - 7 ID - 242 ER - TY - CONF AB - This paper describes how distributed data mining models, such as collective learning, ensemble learning, and meta-learning models, can be implemented as WSRF mining services by exploiting the Grid infrastructure. Our goal is to design a general distributed architectural model that can be exploited for different distributed mining algorithms deployed as Grid services for the analysis of dispersed data sources. In order to validate our approach, we present also the implementation of two clustering algorithms on such architecture, and evaluate their performance. AU - Cesario, E. AU - Talia, D. C3 - 2008 IEEE International Conference on Data Mining Workshops, 15-19 Dec. 2008 DA - 2008 DO - 10.1109/ICDMW.2008.29 KW - data analysis data mining distributed algorithms Grid computing pattern clustering Web services PB - IEEE PY - 2008 SP - 486-95 ST - Distributed data mining models as services on the grid T3 - 2008 IEEE International Conference on Data Mining Workshops TI - Distributed data mining models as services on the grid UR - http://dx.doi.org/10.1109/ICDMW.2008.29 ID - 1707 ER - TY - JOUR AB - Distributed data mining implements techniques for analyzing data on distributed computing systems by exploiting data distribution and parallel algorithms. The grid is a computing infrastructure for implementing distributed high-performance applications and solving complex problems, offering effective support to the implementation and use of data mining and knowledge discovery systems. The Web Services Resource Framework has become the standard for the implementation of grid services and applications, and it can be exploited for developing high-level services for distributed data mining applications. This paper describes how distributed data mining patterns, such as collective learning, ensemble learning, and meta-learning models, can be implemented as Web Services Resource Framework mining services by exploiting the grid infrastructure. The goal of this work was to design a distributed architectural model that can be exploited for different distributed mining patterns deployed as grid services for the analysis of dispersed data sources. In order to validate such an approach, we presented also the implementation of two clustering algorithms on the developed architecture. In particular, the distributed k-means and distributed expectation maximization were exploited as pilot examples to show the suitability of the implemented service-oriented framework. An extensive evaluation of its performance was provided. 2011 John Wiley Sons, Ltd. AU - Cesario, E. AU - Talia, D. DA - 2012/10// DO - 10.1002/cpe.1877 IS - 15 J2 - Concurrency and Computation: Practice and Experience KW - data analysis data mining expectation-maximisation algorithm Grid computing learning (artificial intelligence) pattern clustering Web services L1 - internal-pdf://2711809226/Cesario-2012-Distributed data mining patterns.pdf PY - 2012 SN - 1532-0626 SP - 1751-74 ST - Distributed data mining patterns and services: an architecture and experiments T2 - Concurrency and Computation: Practice and Experience TI - Distributed data mining patterns and services: an architecture and experiments UR - http://dx.doi.org/10.1002/cpe.1877 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/cpe.1877/asset/cpe1877.pdf?v=1&t=itiqyt6o&s=b87d667c160a93e7fe7b716cb62fe6d7e7ae8fd8 VL - 24 ID - 1864 ER - TY - CONF AB - Existing meta-learning based distributed data mining approaches do not explicitly address context heterogeneity across individual sites. This limitation constrains their applications where distributed data are not identically and independently distributed. Modeling heterogeneously distributed data with hierarchical models, this paper extends the traditional meta-learning techniques so that they can be successfully used in distributed scenarios with context heterogeneity. AU - Yan, Xing AU - Madden, M. G. AU - Duggan, J. AU - Lyons, G. J. C3 - Advances in Intelligent Data Analysis V. 5th International Symposium on Intelligent Data Analysis, IDA 2003, 28-30 Aug. 2003 DA - 2003 DO - 10.1007/978-3-540-45231-7_50 KW - data mining distributed databases learning (artificial intelligence) Regression Analysis PB - Springer Verlag PY - 2003 SP - 544-53 ST - Distributed Regression for Heterogeneous Data Sets T3 - Advances in Intelligent Data Analysis V. Proceedings 5th International Symposium on Intelligent Data Analysis, IDA 2003 TI - Distributed Regression for Heterogeneous Data Sets UR - http://dx.doi.org/10.1007/978-3-540-45231-7_50 ID - 1463 ER - TY - JOUR AB - 1. Stream conditions have been evaluated using leaf breakdown, and aquatic hyphomycetes are a diverse group of fungal decomposers which contribute to this process. 2. In field surveys of three pairs of impact-control stream sites we assessed the effect of eutrophication, mine pollution and modification of riparian vegetation on alder leaf breakdown rate in coarse and fine mesh bags and on mycelial biomass, spore production and species diversity of leaf-colonizing fungi. 3. In addition, we gathered published information on the response of leaf-colonizing fungi to these three types of perturbations. We conducted a meta-analysis of 23 published papers to look for consistent patterns across studies and to determine the relevance of four fungal-based metrics (microbial breakdown rate, maximum spore production, maximum mycelial biomass and total species richness) to detect stream impairment. 4. In our field surveys, leaf breakdown rates in coarse mesh bags were lower at impact than at paired control sites regardless of perturbation type. A similar trend was observed for leaf breakdown rates in fine mesh bags. Mycelial biomass and spore production were higher in the eutrophied stream than in the control stream. Spore production was depressed in the mine polluted stream, while it was slightly enhanced in the stream affected by forestry. Fungal diversity tended to be lower at impact than at paired control sites, though the mean and cumulative species richness values were often inconsistent. 5. Results of the meta-analysis confirmed that mine pollution reduces fungal diversity and performance. Eutrophication was not found to affect microbial breakdown rate, maximum spore production and maximum mycelial biomass in a predictable manner because both positive and negative effects were reported in the literature. However, fungal species richness was consistently reduced in eutrophied streams. Modification of riparian vegetation had at most a small stimulating effect on maximum spore production. Among the four fungal-based metrics included in the meta-analysis, maximum spore production emerged as the most sensitive indicator of human impact on streams. 6. Taken together, our findings indicate that human activities can affect the diversity and functions of aquatic hyphomycetes in streams. We also show that leaf breakdown rate and simple fungal-based metrics, such as spore production, are relevant to assess stream condition. AU - Lecerf, Antoine AU - Chauvet, Eric DA - 2008/08// DO - 10.1111/j.1365-2427.2008.01986.x IS - 8 L1 - internal-pdf://2552685585/Lecerf-2008-Diversity and functions of leaf-de.pdf PY - 2008 SN - 0046-5070 SP - 1658-1672 ST - Diversity and functions of leaf-decaying fungi in human-altered streams T2 - Freshwater Biology TI - Diversity and functions of leaf-decaying fungi in human-altered streams UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/j.1365-2427.2008.01986.x/asset/j.1365-2427.2008.01986.x.pdf?v=1&t=itiv22iv&s=fd14c053ae80941595f2db2738b85e3400087933 VL - 53 ID - 1952 ER - TY - JOUR AB - Purpose: Social scientific approach has become an important approach in e-Health studies over the past decade. However, there has been little systematical examination of what aspects of e-Health social scientists have studied and how relevant and informative knowledge has been produced and diffused by this line of inquiry. This study performed a systematic review of the body of e-Health literature in mainstream social science journals over the past decade by testing the applicability of a 5A categorization (i.e., access, availability, appropriateness, acceptability, and applicability), proposed by the U.S. Department of Health and Human Services, as a framework for understanding social scientific research in e-Health. Methods: This study used a quantitative, bottom-up approach to review the e-Health literature in social sciences published from 2000 to 2009. A total of 3005 e-Health studies identified from two social sciences databases (i.e., Social Sciences Citation Index and Arts Humanities Citation Index) were analyzed with text topic modeling and structural analysis of co-word network, co-citation network, and scientific food web. Results: There have been dramatic increases in the scale of e-Health studies in social sciences over the past decade in terms of the numbers of publications, journal outlets and participating disciplines. The results empirically confirm the presence of the 5A clusters in e-Health research, with the cluster of applicability as the dominant research area and the cluster of availability as the major knowledge producer for other clusters. The network analysis also reveals that the five distinctive clusters share much more in common in research concerns than what e-Health scholars appear to recognize. Conclusions: It is time to explicate and, more importantly, tap into the shared concerns cutting across the seemingly divided scholarly communities. In particular, more synergy exercises are needed to promote adherence of the field. 2014 Elsevier Ireland Ltd. AU - Crystal Jiang, L. AU - Wang, Zhen-Zhen AU - Peng, Tai-Quan AU - Zhu, Jonathan J. H. DA - 2015 DO - 10.1016/j.ijmedinf.2014.09.003 IS - 1 J2 - International Journal of Medical Informatics KW - Arts computing Behavioral research Health Indexing (of information) Internet Reviews Social sciences Social sciences computing Technology L1 - internal-pdf://0861109485/Crystal Jiang-2015-The divided communities of.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 13865056 SP - 24-35 ST - The divided communities of shared concerns: Mapping the intellectual structure of e-Health research in social science journals T2 - International Journal of Medical Informatics TI - The divided communities of shared concerns: Mapping the intellectual structure of e-Health research in social science journals UR - http://dx.doi.org/10.1016/j.ijmedinf.2014.09.003 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1386505614001762/1-s2.0-S1386505614001762-main.pdf?_tid=882fbf14-8331-11e6-956f-00000aab0f6c&acdnat=1474816124_c0659be35e5d4d510facfcac391940b7 VL - 84 ID - 505 ER - TY - JOUR AB - Little is known about frequency, association with clinical characteristics, and prognostic impact of DNA copy number alterations (CNA) on survival in central primitive neuroectodermal tumors (CNS-PNET) and tumors of the pineal region. Searches of MEDLINE, Pubmed, and EMBASE--after the original description of comparative genomic hybridization in 1992 and July 2010--identified 15 case series of patients with CNS-PNET and tumors of the pineal region whose tumors were investigated for genome-wide CNA. One additional case study was identified from contact with experts. Individual patient data were extracted from publications or obtained from investigators, and CNAs were converted to a digitized format suitable for data mining and subgroup identification. Summary profiles for genomic imbalances were generated from case-specific data. Overall survival (OS) was estimated using the Kaplan-Meier method, and by univariable and multivariable Cox regression models. In their overall CNA profiles, low grade tumors of the pineal region clearly diverged from CNS-PNET and pineoblastoma. At a median follow-up of 89 months, 7-year OS rates of CNS-PNET, pineoblastoma, and low grade tumors of the pineal region were 22.9 +/- 6, 0 +/- 0, and 87.5 +/- 12 %, respectively. Multivariable analysis revealed that histology (CNS-PNET), age (Compilation and indexing terms, Copyright 2016 Elsevier Inc. PB - Institute of Electrical and Electronics Engineers Inc. PY - 2007 SN - 1062922X SP - 1050-1055 ST - A document clustering approach for search engines T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics TI - A document clustering approach for search engines UR - http://dx.doi.org/10.1109/ICSMC.2006.384538 VL - 2 ID - 513 ER - TY - CONF AB - We present an architecture for structuring and querying the contents of a set of documents which belong to an organization. The structure is a database which is semi-automatically populated using information extraction techniques. We provide an ontology-based language to interrogate the contents of the documents. The processing of queries in this language can give approximate answers and triggers a mechanism for improving the answers by doing additional information extraction of the textual sources. Individual database items have associated quality metadata which can be used when evaluating the quality of answers. The interaction between information extraction and query processing is a pivotal aspect of this research. AU - Abad-Mota, S. C3 - Current Trends in Database Technology-EDBT 2006. EDBT 2006 Workshops PhD, DataX, IIDB, IIHA, ICSNW QLQP, PIM, PaRMA, and Reactivity on the Web. Revised Selected Papers, 26-31 March 2006 DA - 2006 KW - knowledge representation languages meta data ontologies (artificial intelligence) query processing relational databases text analysis PB - Springer PY - 2006 SP - 115-25 ST - Document interrogation: architecture, information extraction and approximate answers T3 - Current Trends in Database Technology-EDBT 2006. EDBT 2006 Workshops PhD, DataX, IIDB, IIHA, ICSNW QLQP, PIM, PaRMA, and Reactivity on the Web. Revised Selected Papers (Lecture Notes in Computer Science Vol.4254) TI - Document interrogation: architecture, information extraction and approximate answers ID - 1395 ER - TY - JOUR AB - OBJECTIVES: To assess and understand adverse drug reactions (ADRs), a systematic review of reference databases like Pubmed is a necessary and mandatory step in Pharmacovigilance. In order to assist pharmacovigilance team with a computerized tool, we performed a comparative study of 4 different approaches to query Pubmed through ADR-drug terms. The aim of this study is to assess how an ontology of adverse effects, used to normalize and extend queries, could improve this search. MATERIAL AND METHOD: The ontological resource OntoEIM contains 58,000 classes and integrates MedDRA terminology. The entry point is a ADR-Drug term and the four methods are (i) a direct search on Pubmed (ii) a search with a normalized query enhanced with domain-specific Mesh Heading criteria, (iii) a search with the same elaborated query extended to the MeSH sub-hierarchy of the adverse effect entry and (iv) a search with a set of MedDRA terms grouped by subsomption in the OntoEIM ontology. For each of the 16 queries performed and analysed, relevant publications are selected "manually" by two pharmacovigilant experts. RESULTS: The recall is respectively of 63%, 50%, 67% and 74%, the precision of 13%, 26%, 29% and 4%. The best recall is provided by the ontology-based method, for 4 cases out of 16 this method returns relevant publications when the others return no results. CONCLUSION: Results show that an ontology-based search tool improves the recall performance, but other tools and methods are needed to raise the precision. AU - Delamarre, Denis AU - Lillo-Le Louet, Agnes AU - Guillot, Laetitia AU - Jamet, Anne AU - Sadou, Eric AU - Ouazine, Theo AU - Burgun, Anita AU - Jaulent, Marie-Christine DA - 2010 IS - Pt 1 J2 - Stud Health Technol Inform KW - *Database Management Systems *Natural Language Processing *PubMed *Terminology as Topic Data Mining/*methods Documentation/*methods Drug-Related Side Effects and Adverse Reactions/*epidemiology Humans Vocabulary, Controlled LA - eng PY - 2010 SN - 0926-9630 0926-9630 SP - 518-522 ST - Documentation in pharmacovigilance: using an ontology to extend and normalize Pubmed queries T2 - Studies in health technology and informatics TI - Documentation in pharmacovigilance: using an ontology to extend and normalize Pubmed queries VL - 160 ID - 344 ER - TY - JOUR AB - BACKGROUND: Bruxism was usually considered as a contraindication for oral implanting. The causal relationship between bruxism and dental implant failure was remained controversial in existing literatures. PURPOSE: This meta-analysis was performed to investigate the relationship between them. MATERIALS AND METHODS: This review conducted an electronic systematic literature search in MEDLINE (PubMed) and EmBase in November 2013 without time and language restrictions. Meanwhile, a hand searching for all the relevant references of included studies was also conducted. Study information extraction and methodological quality assessments were accomplished by two reviewers independently. A discussion ensued if any disagreement occurred, and unresolved issues were solved by consulting a third reviewer. Methodological quality was assessed by using the Newcastle-Ottawa Scale tool. Odds ratio (OR) with 95% confidence interval (CI) was pooled to estimate the relative effect of bruxism on dental implant failures. Fixed effects model was used initially; if the heterogeneity was high, random effects model was chosen for meta-analysis. Statistical analyses were carried out by using Review Manager 5.1. RESULTS: In this meta-analysis review, extracted data were classified into two groups based on different units. Units were based on the number of prostheses (group A) and the number of patients (group B). In group A, the total pooled OR of bruxers versus nonbruxers for all subgroups was 4.72 (95% CI: 2.66-8.36, p = .07). In group B, the total pooled OR of bruxers versus nonbruxers for all subgroups was 3.83 (95% CI: 2.12-6.94, p = .22). CONCLUSIONS: This meta-analysis was performed to evaluate the relationship between bruxism and dental implant failure. In contrast to nonbruxers, prostheses in bruxers had a higher failure rate. It suggests that bruxism is a contributing factor of causing the occurrence of dental implant technical/biological complications and plays a role in dental implant failure. AU - Zhou, Yi AU - Gao, Jinxia AU - Luo, Le AU - Wang, Yining DA - 2016/04//undefined DO - 10.1111/cid.12300 IS - 2 J2 - Clin Implant Dent Relat Res KW - bruxism complication dental implant implant failure teeth grinding LA - eng PY - 2016 SN - 1708-8208 1523-0899 SP - 410-420 ST - Does Bruxism Contribute to Dental Implant Failure? A Systematic Review and Meta-Analysis T2 - Clinical implant dentistry and related research TI - Does Bruxism Contribute to Dental Implant Failure? A Systematic Review and Meta-Analysis VL - 18 ID - 16 ER - TY - JOUR AB - Objective: The purpose of this study is to quantitatively compare outcomes for trials when treating clinicians did, or did not, have the discretion to decide on treatment technique. Methods: CINAHL, EMBASE, MEDLINE, the Physiotherapy Evidence Database, the Coehrane Controlled Trials register, reference list searching, and citation tracking were investigated. Ten randomized controlled trials (RCTs) of mobilization and manipulation for nonspecific low back pain (NSLBP) met the inclusion criteria. The effectiveness of manual therapy with and without clinician technique choice was assessed using descriptive statistics and metanalysis for the outcomes of pain and activity limitation. Results: In approximately two thirds of the included RCTs, clinicians had choice of treatment technique. There were no systematic differences favoring results for RCTs that did allow clinician choice of treatment technique. Conclusions: Few quality studies are available, and conclusions on the basis of these data need to be interpreted with caution. However, allowing clinicians to choose from a number of treatment techniques does not appear to have improved the outcomes of these RCTs that have investigated the effect of manual therapy for NSLBP. If tailoring manual therapy treatment to NSLBP patients does positively impact on patient outcomes, this is not yet systematically apparent. AN - 106507628. Language: English. Entry Date: 20050902. Revision Date: 20150819. Publication Type: Journal Article AU - Kent, P. AU - Marks, D. AU - Pearson, W. AU - Keating, J. DA - 2005/06// DB - c8h DP - EBSCOhost IS - 5 J2 - Journal of Manipulative & Physiological Therapeutics KW - CINAHL Database clinical trials Cochrane Library Computerized Literature Searching data mining Decision Making, Clinical Embase Funding Source Health Personnel Human Low Back Pain -- Therapy Manual Therapy -- Methods Medline meta analysis Professional Autonomy Quantitative Studies Treatment Outcomes L1 - internal-pdf://3608137835/Kent-2005-Does clinician treatment choice impr.pdf N1 - research; systematic review; tables/charts. Journal Subset: Alternative/Complementary Therapies; Peer Reviewed; USA. Grant Information: Faculty of Health Sciences (La Trobe University, Melbourne, Victoria, Australia), Joint Coal Board Health and Safety Trust (Australia), and the Musculoskeletal Physiotherapy Association (Victoria). NLM UID: 7807107. PY - 2005 SN - 0161-4754 SP - 312-322 ST - Does clinician treatment choice improve the outcomes of manual therapy for nonspecific low back pain? A metaanalysis T2 - Journal of Manipulative & Physiological Therapeutics TI - Does clinician treatment choice improve the outcomes of manual therapy for nonspecific low back pain? A metaanalysis UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=106507628&scope=site http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0161475405001090/1-s2.0-S0161475405001090-main.pdf?_tid=70dcc278-833e-11e6-9053-00000aacb35f&acdnat=1474821668_c538b5b12d31bc0a05a6530b54caf297 VL - 28 ID - 396 ER - TY - JOUR AB - The emergence of the Interactive Digital TV (iDTV) is improving the transmission quality and making available new features and services to the user. With the advent of digital convergence between TV and web platforms, new proposals of semantic organisation of content are being developed, introducing concepts of Semantic Web and knowledge representation that allow semantic description of metadata content through ontologies. This paper proposes a component for finding domains and expansion of multimedia metadata in broadcast DTV based on the Semantic Web concepts and analysis of lexical and semantic similarity, integrated with knowledge TV platform. AU - Drielly De Souza Pires, A. AU - Porto Bezerra, E. AU - Correia Queiroz Lino, N. DA - 2015 IS - 3 J2 - International Journal of Metadata, Semantics and Ontologies KW - data mining digital television interactive television meta data multimedia computing ontologies (artificial intelligence) Semantic Web telecommunication computing television broadcasting PY - 2015 SN - 1744-2621 SP - 212-18 ST - Domain discovery and expansion in multimedia metadata for digital TV broadcast T2 - International Journal of Metadata, Semantics and Ontologies TI - Domain discovery and expansion in multimedia metadata for digital TV broadcast VL - 10 ID - 1020 ER - TY - JOUR AU - Strohmeier, Stefan AU - Piazza, Franca DA - 2013 DP - Google Scholar IS - 7 L1 - http://parsproje3.ir/tarjome/modiriyat/457.pdf PY - 2013 SP - 2410-2420 ST - Domain driven data mining in human resource management T2 - Expert Systems with Applications TI - Domain driven data mining in human resource management: A review of current research UR - http://www.sciencedirect.com/science/article/pii/S0957417412011839 VL - 40 Y2 - 2016/09/24/16:08:30 ID - 2445 ER - TY - CONF AB - Domain model with its metadata is essential part of every adaptive educational system. At the same time it is often a bottleneck as quality metadata is essential requirement and their manual creation is difficult or even impossible in some extent. So any effort in automated acquisition of metadata is crucial for effective learning supported by an educational system. In this paper we propose a method of discovering relations in educational texts using annotations created by users (learners). As annotations we use links to external educational resources related to educational texts. We integrate external resources into the learning course and analyze their content. Based on the content analysis we construct a graph consisting of educational content, external resources and existing concepts in the domain model and use graph algorithms to derive new relations. Besides the benefit of discovered relations, our approach enriches educational content with additional information resources. AU - Mihal, V. AU - Bielikova, M. C3 - 2011 14th International Conference on Interactive Collaborative Learning, 21-23 Sept. 2011 DA - 2011 DO - 10.1109/ICL.2011.6059644 KW - courseware data mining Graph theory Information Resources Internet meta data PB - IEEE PY - 2011 SP - 542-7 ST - Domain Model Relations Discovering in Educational Texts based on User Created Annotations T3 - 2011 14th International Conference on Interactive Collaborative Learning TI - Domain Model Relations Discovering in Educational Texts based on User Created Annotations UR - http://dx.doi.org/10.1109/ICL.2011.6059644 ID - 1049 ER - TY - JOUR AB - Collaborative learning environments require intensive, regular and frequent analysis of the increasing amount of interaction data generated by students to assess that collaborative learning takes place. To support timely assessments that may benefit students and teachers the method of analysis must provide meaningful evaluations while the interactions take place. This research proposes machine learning-based techniques to infer the relationship between student collaboration and some quantitative domain-independent statistical indicators derived from large-scale evaluation analysis of student interactions. This paper (i) compares a set of metrics to identify the most suitable to assess student collaboration, (ii) reports on student evaluations of the metacognitive tools that display collaboration assessments from a new collaborative learning experience and (iii) extends previous findings to clarify modeling and usage issues. The advantages of the approach are: (1) it is based on domain-independent and generally observable features, (2) it provides regular and frequent data mining analysis with minimal teacher or student intervention, thereby supporting metacognition for the learners and corrective actions for the teachers, and (3) it can be easily transferred to other e-learning environments and include transferability features that are intended to facilitate its usage in other collaborative and social learning tools. 2013 World Scientific Publishing Company. AU - Anaya, Antonio R. AU - Boticario, Jesus G. DA - 2013 DO - 10.1142/S0218213013500206 IS - 4 J2 - International Journal on Artificial Intelligence Tools KW - Computer aided instruction data mining E-learning Learning systems Students N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 02182130 ST - A domain-independent, transferable and timely analysis approach to assess student collaboration T2 - International Journal on Artificial Intelligence Tools TI - A domain-independent, transferable and timely analysis approach to assess student collaboration UR - http://dx.doi.org/10.1142/S0218213013500206 http://www.worldscientific.com/doi/abs/10.1142/S0218213013500206 VL - 22 ID - 1380 ER - TY - JOUR AB - We propose a novel association and text mining system for knowledge discovery (ASTEK) from the warranty and service data in the automotive domain. The complex architecture of modern vehicles makes fault diagnosis and isolation a non-trivial task. The association mining isolates anomaly cases from the millions of service and claims records. ASTEK has shown 86% accuracy in correctly identifying the anomaly cases. The text mining subscribes to the diagnosis and prognosis (D&P) ontology, which provides the necessary domain-specific knowledge. The root causes associated with the anomaly cases are identified by discovering frequent symptoms associated with the part failures along with the repair actions used to fix the part failures. The best-practice knowledge is disseminated to the dealers involved in the anomaly cases. ASTEK has been implemented as a prototype in the service and quality department of GM and its performance has been validated in the real life set up. On an average, the analysis time is reduced from few weeks to few minutes, which in real life industry are significant improvements. AU - Rajpathak, Dnyanesh AU - Chougule, Rahul AU - Bandyopadhyay, Pulak DA - 2012/06// DO - 10.1007/s10115-011-0409-1 IS - 3 PY - 2012 SN - 0219-1377 SP - 405-432 ST - A domain-specific decision support system for knowledge discovery using association and text mining T2 - Knowledge and Information Systems TI - A domain-specific decision support system for knowledge discovery using association and text mining VL - 31 ID - 2001 ER - TY - CONF AB - Service Creation Environments facilitate the creation of complex services and play a major role in the software industry. In this context, we aim at developing a domain-specific framework (networking domain) that uses a chain of existing 'off-the-shelf' tools that are integrated together from the design phase to the verification activities. In this paper, we propose a new meta-model that extends ArchiMate to provide a domain-specific modeling language concerning the Deep Sea Observatories (DSO). We instantiate, as a case study, DSO model with identification and localization functions from this language, and apply it to our framework that relies on an IMS platform to evaluate the service model. These functions can be orchestrated with other services (e.g. military or civil reaction) or interconnected with other SO Systems. On the one hand, this illustrates our approach in relying on Enterprise Architecture (EA) framework that respects: multiple-views, perspectives of stakeholders, and domain specificities. On the other hand, it shows the reusability of our framework by changing applications from different domains: Video Conference as a Telecom Service, and Localizations for DSO. 2014 IEEE. AU - Alloush, Iyas AU - Aoun, Charbel Geryes AU - Kermarrec, Yvon AU - Rouvrais, Siegfried C3 - 2014 22nd Annual IEEE International Symposium on Modeling, Analysis and Simulation of Computer, and Telecommunication Systems, MASCOTS 2014, September 9, 2014 - September 11, 2014 DA - 2015 DO - 10.1109/MASCOTS.2014.23 KW - Complex networks Computational linguistics data fusion Embedded systems Modeling languages Network architecture Observatories Reusability software engineering Specification languages Telecommunication services N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2015 SN - 15267539 SP - 120-125 ST - A domain-specific framework for creating early trusted underwater systems relying on enterprise architecture T3 - Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS TI - A domain-specific framework for creating early trusted underwater systems relying on enterprise architecture UR - http://dx.doi.org/10.1109/MASCOTS.2014.23 VL - 2015-February ID - 475 ER - TY - JOUR AB - To examine the association between occupational exposure to silica and lung cancer from a systematic review (and meta-analysis) of the epidemiologic literature, with special reference to the methodological quality of observational studies. We searched Medline, Toxline, BIOSIS, and Embase (1966-December 2007) for original articles published in any language. Observational studies (cohort and case-control studies) were selected if they reported the result of dose-response analyses relating lung cancer to occupational exposure to silica after appropriate adjustment for smoking. Ten studies (4 cohort studies and 6 case-control studies) met the inclusion criteria of the meta-analysis, nine of which contributing to the main analysis (dose-response analysis, no lag time). We found increasing risk of lung cancer with increasing cumulative exposure to silica, with heterogeneity across studies however. Posthoc analyses identified a set of seven more homogeneous studies. Their meta-analysis resulted in a dose-response curve that was not different from that obtained in the main analysis. Silica is a lung carcinogen. This increased risk is particularly apparent when the cumulative exposure to silica is well beyond that resulting from exposure to the recommended limit concentration for a prolonged period of time. AU - Lacasse, Yves AU - Martin, Sylvie AU - Gagne, Dominique AU - Lakhal, Lajmi DA - 2009/08// DO - 10.1007/s10552-009-9296-0 IS - 6 PY - 2009 SN - 0957-5243 SP - 925-933 ST - Dose-response meta-analysis of silica and lung cancer T2 - Cancer Causes & Control TI - Dose-response meta-analysis of silica and lung cancer UR - http://link.springer.com/article/10.1007%2Fs10552-009-9296-0 VL - 20 ID - 1884 ER - TY - CONF AB - This paper addresses the problem of studying grapevine areas in terms of relief which influences productivity of grapevine by a complex and scientifically knowledge of grapevine exposition; establishment stores culture considering the level curves; the characterization of soles by watershed field analyze, necessary for pluviometric basins establishment. Recas, is a city that belong to Timis county, Romania. The city statute has been obtained in 2004. Recas city is situated at 21 Km distance from Timisoara and 37 Km from Lugoj, along the national road DN6 (European E 70). The city has access at the Timisoara airport witch is situated at a distance of 20 km. The administrative territory of Recas has a surface of 22,988.21 ha. Considering the morphological point of view the region is made from hills with gentle or flat ridges that are being landmarks of erosion since long time ago. The city establishment is in a sunny hills area, which is favorable for agriculture, the city is being crossed by Timis River and Bega channel in South, having in the North part the grapevine hills. The purpose of the of the present study, consist in gathering information regarding the technical and topographical characteristics to determine the present production capacity for grapevine and for grounding technical and scientifically the most proper practical measure regarding the rational use of Land Fund. The objectives followed were: identification, delimitation and the land units inventory; determine the condition of supply/ensuring the soils with pluviometric water. The importance of this work is to determine the shape of the land in terms of altitude in order to optimize the production of vines. This study contains scientific material for inventory an exploitation of Land Fund for subsequent drafting and choosing the most appropriate technologies to obtain good results on grapevine cultures and also a study of the characteristics of land forms materialized by situation plans, including a systematic review overall operations, identification and characterization of the disposition of the land of SC Reca, Romania. SGEM2014. AU - Livia, Barliba Luminita AU - Dragomir, L. AU - Barliba, C. AU - Smuleac, A. C3 - 14th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2014, June 17, 2014 - June 26, 2014 DA - 2014 KW - Characterization Landforms REMOTE SENSING Watersheds N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Multidisciplinary Scientific Geoconference PY - 2014 SN - 13142704 SP - 551-558 ST - Drawing a 3D topographic plan necessary to achieve a grapevine project arrangement in Recas City, Timis County, Romania T3 - International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM TI - Drawing a 3D topographic plan necessary to achieve a grapevine project arrangement in Recas City, Timis County, Romania VL - 3 ID - 578 ER - TY - JOUR AU - Bergman, Casey M. AU - Carlson, Joseph W. AU - Celniker, Susan E. DA - 2005 DP - Google Scholar IS - 8 L1 - internal-pdf://2855384621/Bergman-2005-Drosophila DNase I footprint data.pdf PY - 2005 SP - 1747-1749 ST - Drosophila DNase I footprint database T2 - Bioinformatics TI - Drosophila DNase I footprint database: a systematic genome annotation of transcription factor binding sites in the fruitfly, Drosophila melanogaster UR - http://bioinformatics.oxfordjournals.org/content/21/8/1747.short http://bioinformatics.oxfordjournals.org/content/21/8/1747.full http://bioinformatics.oxfordjournals.org/content/21/8/1747.full.pdf VL - 21 Y2 - 2016/09/24/15:32:42 ID - 2317 ER - TY - JOUR AU - McClellan, Mark DA - 2007 DP - Google Scholar IS - 17 PY - 2007 SP - 1700-1702 ST - Drug Safety Reform at the FDA—Pendulum Swing or Systematic Improvement? T2 - New England Journal of Medicine TI - Drug Safety Reform at the FDA—Pendulum Swing or Systematic Improvement? UR - http://www.nejm.org/doi/full/10.1056/NEJMp078057 VL - 356 Y2 - 2016/09/24/16:09:17 ID - 2452 ER - TY - JOUR AB - OBJECTIVE: Systematic reviews (SRs) are the cornerstone of evidence-based medicine. In this study, we evaluated the effectiveness of using two computer screens on the efficiency of conducting SRs. STUDY DESIGN AND SETTING: A cohort of reviewers before and after using dual monitors were compared with a control group that did not use dual monitors. The outcomes were time spent for abstract screening, full-text screening and data extraction, and inter-rater agreement. We adopted multivariate difference-in-differences linear regression models. RESULTS: A total of 60 SRs conducted by 54 reviewers were included in this analysis. We found a significant reduction of 23.81 minutes per article in data extraction in the intervention group relative to the control group (95% confidence interval: -46.03, -1.58, P = 0.04), which was a 36.85% reduction in time. There was no significant difference in time spent on abstract screening, full-text screening, or inter-rater agreement between the two groups. CONCLUSION: Using dual monitors when conducting SRs is associated with significant reduction of time spent on data extraction. No significant difference was observed on time spent on abstract screening or full-text screening. Using dual monitors is one strategy that may improve the efficiency of conducting SRs. AU - Wang, Zhen AU - Asi, Noor AU - Elraiyah, Tarig A. AU - Abu Dabrh, Abd Moain AU - Undavalli, Chaitanya AU - Glasziou, Paul AU - Montori, Victor AU - Murad, Mohammad Hassan DA - 2014/12//undefined DO - 10.1016/j.jclinepi.2014.06.011 IS - 12 J2 - J Clin Epidemiol KW - *Efficiency *Review Literature as Topic Computer Terminals/*statistics & numerical data Data Mining/*statistics & numerical data Efficiency Evidence-Based Medicine Humans Linear Models Research Design systematic reviews Technology Time Factors Validity L1 - internal-pdf://1059961393/1-s2.0-S0895435614002376-main.pdf LA - eng PY - 2014 SN - 1878-5921 0895-4356 SP - 1353-1357 ST - Dual computer monitors to increase efficiency of conducting systematic reviews T2 - Journal of clinical epidemiology TI - Dual computer monitors to increase efficiency of conducting systematic reviews VL - 67 ID - 89 ER - TY - CONF AB - Ductile damage mechanics is essential to predict failure during cold metal forming applications. Several damage models can be found in the literature. These damage models are coupled with the mechanical behavior so as to model the progressive softening of the material due to damage growth. However, the identification of damage parameters remains an issue. In this paper, an inverse analysis approach is set-up to identify ductile damage parameters, based on different kind of mechanical tests and observables. The Lemaitre damage model is used and damage is coupled with the material behavior. The Efficient Global Optimization (EGO) method is used in a parallel environment. This global algorithm based on kriging meta-model enables the identification of a set of damage parameters based on experimental observables. Global and local observables are used to identify these parameters and a special attention is paid to the computation of the cost function. Finally, an identification procedure based on displacement field measurements is presented and applied for damage parameters identification. AU - Bouchard, P. O. AU - Gachet, J. M. AU - Roux, E. C3 - 14th International Esaform Conference on Material Forming: Esaform 2011, 27-29 April 2011 DA - 2011 DO - 10.1063/1.3590604 KW - ductility forming processes mechanical testing softening statistical analysis PB - American Institute of Physics PY - 2011 SN - 0094-243X SP - 47-52 ST - Ductile damage parameters identification for cold metal forming applications T2 - AIP Conference Proceedings T3 - AIP Conf. Proc. (USA) TI - Ductile damage parameters identification for cold metal forming applications UR - http://dx.doi.org/10.1063/1.3590604 VL - 1353 ID - 857 ER - TY - CHAP AB - Background Background Duloxetine is a balanced serotonin and noradrenaline reuptake inhibitor licensed for the treatment of major depressive disorders, urinary stress incontinence and the management of neuropathic pain associated with diabetic peripheral neuropathy. A number of trials have been conducted to investigate the use of duloxetine in neuropathic and nociceptive painful conditions. This is the first update of a review first published in 2010. Objectives Objectives To assess the benefits and harms of duloxetine for treating painful neuropathy and different types of chronic pain. Search methods Search methods On 19th November 2013, we searched The Cochrane Neuromuscular Group Specialized Register, CENTRAL, DARE, HTA, NHSEED, MEDLINE, and EMBASE. We searched ClinicalTrials.gov for ongoing trials in April 2013. We also searched the reference lists of identified publications for trials of duloxetine for the treatment of painful peripheral neuropathy or chronic pain. Selection criteria Selection criteria We selected all randomised or quasi-randomised trials of any formulation of duloxetine, used for the treatment of painful peripheral neuropathy or chronic pain in adults. Data collection and analysis Data collection and analysis We used standard methodological procedures expected by The Cochrane Collaboration. Main results Main results We identified 18 trials, which included 6407 participants. We found 12 of these studies in the literature search for this update. Eight studies included a total of 2728 participants with painful diabetic neuropathy and six studies involved 2249 participants with fibromyalgia. Three studies included participants with depression and painful physical symptoms and one included participants with central neuropathic pain. Studies were mostly at low risk of bias, although significant drop outs, imputation methods and almost every study being performed or sponsored by the drug manufacturer add to the risk of bias in some domains. Duloxetine at 60 mg daily is effective in treating painful diabetic peripheral neuropathy in the short term, with a risk ratio (RR) for ≥ 50% pain reduction at 12 weeks of 1.73 (95% CI 1.44 to 2.08). The related NNTB is 5 (95% CI 4 to 7). Duloxetine at 60 mg daily is also effective for fibromyalgia over 12 weeks (RR for ≥ 50% reduction in pain 1.57, 95% CI 1.20 to 2.06; NNTB 8, 95% CI 4 to 21) and over 28 weeks (RR 1.58, 95% CI 1.10 to 2.27) as well as for painful physical symptoms in depression (RR 1.37, 95% CI 1.19 to 1.59; NNTB 8, 95% CI 5 to 14). There was no effect on central neuropathic pain in a single, small, high quality trial. In all conditions, adverse events were common in both treatment and placebo arms but more common in the treatment arm, with a dose-dependent effect. Most adverse effects were minor, but 12.6% of participants stopped the drug due to adverse effects. Serious adverse events were rare. Authors' conclusions Authors' conclusions There is adequate amounts of moderate quality evidence from eight studies performed by the manufacturers of duloxetine that doses of 60 mg and 120 mg daily are efficacious for treating pain in diabetic peripheral neuropathy but lower daily doses are not. Further trials are not required. In fibromyalgia, there is lower quality evidence that duloxetine is effective at similar doses to those used in diabetic peripheral neuropathy and with a similar magnitude of effect. The effect in fibromyalgia may be achieved through a greater improvement in mental symptoms than in somatic physical pain. There is low to moderate quality evidence that pain relief is also achieved in pain associated with depressive symptoms, but the NNTB of 8 in fibromyalgia and depression is not an indication of substantial efficacy. More trials (preferably independent investigator led studies) in these indications are required to reach an optimal information size to make convincing determinations of efficacy. Minor side effects are common and more common with duloxetine 60 mg and particularly with 120 mg daily, than 20 mg daily, but serious side effects are rare. Improved direct comparisons of duloxetine with other antidepressants and with other drugs, such as pregabalin, that have already been shown to be efficacious in neuropathic pain would be appropriate. Unbiased economic comparisons would further help decision making, but no high quality study includes economic data. AU - Lunn, Michael P. T. AU - Hughes, Richard A. C. AU - Wiffen, Philip J. DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD007115.pub3/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2014 ST - Duloxetine for treating painful neuropathy, chronic pain or fibromyalgia T2 - Cochrane Database of Systematic Reviews TI - Duloxetine for treating painful neuropathy, chronic pain or fibromyalgia UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD007115.pub3/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD007115.pub3/full Y2 - 2016/09/18/20:15:38 ID - 423 ER - TY - BOOK A3 - Donnelly, K. C. A2 - Cizmas, L. H. AB - The risk of malignant tumors and lung cancer was monitored in a population of 7,774 ex-miners who had worked in black-coal mines. The incidence of all malignant tumors (n=264) was comparable to incidence in the Czech Republic. Lung cancer represented 18% of all malignant tumors. About 10% of miners were found to have a light form of coal workers' pneumoconiosis. The population studied included 55% smokers, 31% non-smokers and 14% ex-smokers. The incidence of lung cancer significantly increased with age (P = 0.01) and 98% of miners with lung cancer were smokers or ex-smokers. AU - Tomaskova, Hana AU - Jirak, Zdenek AU - Menzlova, Milena AU - Beska, Frantisek AU - Zavadilova, Vladislava AU - Cimova, Katerina AU - Buzga, Marek DA - 2006 PY - 2006 SN - 1-4020-4844-0 ST - Dusts containing quartz and carcinogenicity risk in mines - Epidemiological study TI - Dusts containing quartz and carcinogenicity risk in mines - Epidemiological study ID - 2106 ER - TY - JOUR AB - OBJECTIVE: To perform a general literature review of dysbaric osteonecrosis (DON) to describe its pathophysiology, prevalence in scuba divers, prognosis, and treatment options. DATA SOURCES: A literature search on PubMed was performed using the term 'dysbaric osteonecrosis' yielding 67 results. There was no exclusion based on dates. Articles that mainly dealt with decompression sickness secondary to tunnel work, mining, or airplane travel were not selected. An additional search on PubMed using the terms '(osteonecrosis diving) NOT dysbaric' was performed to identify other publications not picked up in the initial search. MAIN RESULTS: Dysbaric osteonecrosis is associated with prolonged hyperbaric exposure and rapid decompression that cause nitrogen bubbles to enter the fatty marrow-containing shafts of long bones leading to reduction in blood flow and subsequent osteonecrosis. Patients may present asymptomatically, and typical radiographic findings of DON include: decalcification of bone, cystic lesions, osteosclerotic patterns, nontraumatic fractures, bone islands, and a subchondral crescent sign. Surgical treatment options are comprised of core decompression and free vascularized fibular graft, whereas nonsurgical treatment options consist of monitoring, physical therapy, and bisphosphonate therapy. CONCLUSIONS: Although the incidence of DON has decreased significantly over the past 2 decades, the lack of timely diagnosis and optimal management keeps DON relevant in the orthopedic and sport medicine community. AN - 103766104. Language: English. Entry Date: 20150312. Revision Date: 20150710. Publication Type: Journal Article AU - Sharareh, Behnam AU - Schwarzkopf, Ran DA - 2015/03// DB - c8h DO - 10.1097/JSM.0000000000000093 DP - EBSCOhost IS - 2 J2 - Clinical Journal of Sport Medicine KW - Bone and Bones -- Pathology Calcium -- Metabolism California Decompression Sickness -- Complications Descriptive Statistics Diphosphonates -- Therapeutic Use Femur -- Pathology Fractures Human Humerus -- Pathology Medical Practice, Evidence-Based Osteonecrosis -- Drug Therapy Osteonecrosis -- Epidemiology Osteonecrosis -- Physiopathology Osteonecrosis -- Prognosis Osteonecrosis -- Surgery Osteonecrosis -- Symptoms Osteonecrosis -- Therapy Physical Therapy PubMed Scuba Diving Systematic review N1 - diagnostic images; research; systematic review; tables/charts. Journal Subset: Allied Health; Biomedical; Double Blind Peer Reviewed; Editorial Board Reviewed; Peer Reviewed; USA. Special Interest: Evidence-Based Practice; Physical Therapy; Sports Medicine. NLM UID: 9103300. PY - 2015 SN - 1050-642X SP - 153-161 ST - Dysbaric Osteonecrosis: A Literature Review of Pathophysiology, Clinical Presentation, and Management T2 - Clinical Journal of Sport Medicine TI - Dysbaric Osteonecrosis: A Literature Review of Pathophysiology, Clinical Presentation, and Management UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=103766104&scope=site VL - 25 ID - 401 ER - TY - RPRT AB - The major purposes of this report are to formally organize the individual earth-science research tasks directed toward a geologic repository for radioactive waste performed directly or by contract by the US Department of Energy (DOE) and the US Geological Survey (USGS), to show how these tasks address the principal remaining technical questions related to geologic disposal of nuclear waste, to identify technical questions that require additional attention, and to identify priorities for future work. In support of these purposes this report: presents a systematic review and identification of earth-science issues and recommends work that will support site characterization, evaluation, and selection; repository design and operation; and short- and long-term risk assessment. Inventories and classifies current technical R and D to facilitate integration and coordination of DOE and USGS sponsored work. Identifies R and D activities which should be more closely coordinated for timely resolution of technical questions. Specifies technical plans to resolve significant uncertainties regarding mined repositories, as discussed in the Interagency Review Group (IRG) Report to the President and Alternative Technology Strategies for the Isolation of Nuclear-Waste, and other earth science reports. (ERA citation 04:051170) CY - United States DA - 1979/01// KW - Chemical reactions Geochemistry Geologic deposits Geology Hydrology Monitoring Radioactive waste disposal Radioactive wastes Rock mechanics Site selection technology assessment N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 1979 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 160p ST - Earth Science Technical Plan for Mined Geologic Disposal of Radioactive Waste TI - Earth Science Technical Plan for Mined Geologic Disposal of Radioactive Waste ID - 477 ER - TY - JOUR AB - OBJECTIVES: We systematically reviewed existing research pertinent to Ebola virus disease and social media, especially to identify the research questions and the methods used to collect and analyze social media. METHODS: We searched 6 databases for research articles pertinent to Ebola virus disease and social media. We extracted the data using a standardized form. We evaluated the quality of the included articles. RESULTS: Twelve articles were included in the main analysis: 7 from Twitter with 1 also including Weibo, 1 from Facebook, 3 from YouTube, and 1 from Instagram and Flickr. All the studies were cross-sectional. Eleven of the 12 articles studied >/= 1of these 3 elements of social media and their relationships: themes or topics of social media contents, meta-data of social media posts (such as frequency of original posts and reposts, and impressions) and characteristics of the social media accounts that made these posts (such as whether they are individuals or institutions). One article studied how news videos influenced Twitter traffic. Twitter content analysis methods included text mining (n = 3) and manual coding (n = 1). Two studies involved mathematical modeling. All 3 YouTube studies and the Instagram/Flickr study used manual coding of videos and images, respectively. CONCLUSIONS: Published Ebola virus disease-related social media research focused on Twitter and YouTube. The utility of social media research to public health practitioners is warranted. AU - Fung, Isaac Chun-Hai AU - Duke, Carmen Hope AU - Finch, Kathryn Cameron AU - Snook, Kassandra Renee AU - Tseng, Pei-Ling AU - Hernandez, Ana Cristina AU - Gambhir, Manoj AU - Fu, King-Wa AU - Tse, Zion Tsz Ho DA - 2016/07/14/ DO - 10.1016/j.ajic.2016.05.011 J2 - Am J Infect Control KW - Health communication Public health Surveillance L1 - internal-pdf://2165884608/Fung-2016-Ebola virus disease and social media.pdf LA - Eng PY - 2016 SN - 1527-3296 0196-6553 ST - Ebola virus disease and social media: A systematic review T2 - American journal of infection control TI - Ebola virus disease and social media: A systematic review UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0196655316304977/1-s2.0-S0196655316304977-main.pdf?_tid=9c1bc92e-8335-11e6-9012-00000aab0f26&acdnat=1474817875_a049ceb7c19f87e998c6ed74143c98ea ID - 150 ER - TY - JOUR AB - BACKGROUND: Unhealthy diet and low levels of physical activity are common behavioural factors in the aetiology of many non-communicable diseases. Recent years have witnessed an upsurge of policy and research interest in the use of taxes and other economic instruments to improve population health. OBJECTIVE: To assemble, configure and analyse empirical research studies available to inform the public health case for using economic instruments to promote dietary and physical activity behaviour change. METHODS: We conducted a systematic scoping review of evidence for the effects of specific interventions to change, or general exposure to variations in, prices or income on dietary and physical activity behaviours and corollary outcomes. Systematic electronic searches and parallel snowball searches retrieved >1 million study records. Text mining technologies were used to prioritise title-abstract records for screening. Eligible studies were selected, classified and analysed in terms of key characteristics and principal findings, using a narrative, configuring synthesis focused on implications for policy and further research. RESULTS: We identified 880 eligible studies, including 192 intervention studies and 768 studies that incorporated evidence for prices or income as correlates or determinants of target outcomes. Current evidence for the effects of economic instruments and exposures on diet and physical activity is limited in quality and equivocal in terms of its policy implications. Direct evidence for the effects of economic instruments is heavily skewed towards impacts on diet, with a relative lack of evidence for impacts on physical activity. CONCLUSIONS: The evidence-based case for using economic instruments to promote dietary and physical activity behaviour change may be less compelling than some proponents have claimed. Future research should include measurement of people's actual behavioural responses using study designs capable of generating reliable causal inferences regarding intervention effects. Policy implementation needs to be carefully aligned with evaluation planning and design. AU - Shemilt, Ian AU - Hollands, Gareth J. AU - Marteau, Theresa M. AU - Nakamura, Ryota AU - Jebb, Susan A. AU - Kelly, Michael P. AU - Suhrcke, Marc AU - Ogilvie, David DA - 2013 DO - 10.1371/journal.pone.0075070 IS - 9 J2 - PLoS One KW - *Behavior *Motor Activity Commerce Diet/*economics Humans Income L1 - internal-pdf://3278659877/journal.pone.0075070.PDF LA - eng PY - 2013 SN - 1932-6203 1932-6203 SP - e75070 ST - Economic instruments for population diet and physical activity behaviour change: a systematic scoping review T2 - PloS one TI - Economic instruments for population diet and physical activity behaviour change: a systematic scoping review VL - 8 ID - 233 ER - TY - JOUR AB - Systematic review of operations with planned utilization of road driving machines is given. Application of cutting-head driving machines is described, and shifting of machinery is explained. Costs of moving are calculated and workings at difficult passages and safety aspects are noted. AU - Boldt, Hermann DA - 1977 IS - 7 J2 - Gluckauf: Die Fachzeitschrift fur Rohstoff, Bergbau und Energie KW - COAL MINES AND MINING MINES AND MINING - Accident Prevention N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 1977 SN - 03407896 SP - 353-359 ST - Economical Road Driving with Full and Partial Face Cutting Machines at the Rheinland Mine Works T2 - Gluckauf: Die Fachzeitschrift fur Rohstoff, Bergbau und Energie TI - Economical Road Driving with Full and Partial Face Cutting Machines at the Rheinland Mine Works VL - 113 ID - 749 ER - TY - CONF AB - Organizations exchange data electronically to perform business transactions using Electronic Data Interchange (EDI). In order to gain insights on such transactions, approaches for inter-organizational business process mining based on the observation of exchanged EDI messages have been recently proposed. In recent approaches, however, only meta-information about the exchanged messages, such as message type, interchange time and sender/receiver information, has been used as data base for generating event logs. This neglects the opportunity of using business information from observed EDI messages to arrive at more detailed event logs, which in turn enable mining of detailed process models and fine-grained process performance analyses. In addressing this shortcoming, we present EDIminer, a toolset that allows for (i) enhanced visualization of contents of EDI messages, (ii) automatic and/or user-driven definition of mappings of EDI artifacts to events, (iii) generation of events from such mappings, (iv) semi-automatic correlation of events to process instances and (v) generation of industry-standard XES event logs for subsequent application of conventional process mining techniques. We demonstrate the utility of EDIminer by means of an exemplary EDI-based purchase order process based on real-world data. AU - Engel, Robert AU - Jagadeesh Chandra Bose, R. P. AU - Pichler, Christian AU - Zapletal, Marco AU - Werthner, Hannes C3 - 25th International Conference on Advanced Information Systems Engineering, CAiSE 2013, June 20, 2013 DA - 2013 KW - data mining electronic data interchange Information systems Mapping Purchasing Systems engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - CEUR-WS PY - 2013 SN - 16130073 SP - 146-153 ST - EDIminer: A toolset for process mining from EDI messages T3 - CEUR Workshop Proceedings TI - EDIminer: A toolset for process mining from EDI messages VL - 998 ID - 1371 ER - TY - JOUR AB - Most of the magnetite deposits of the eastern Grenville Province have been described as precipitates from hydrothermal solutions derived from metamorphic processes, from early, late, or post-Grenville granites, or as metasediments. Granites host many of these deposits, but others, including the historic Edison iron mines of New Jersey, are hosted by potassium-feldspar gneiss, commonly interpreted as meta-arkose. Our new geochemical data indicate, however, that the protolith of the potassium-feldspar gneiss is rhyolite, not arkose. Supporting evidence includes (i) the absence of an underlying potassic provenance for arkosic sediment, (ii) potassium and sodium contents among host rocks that exceed the range of arkose but are consistent with A-type rhyolite, and (iii) a close chemical resemblance of the potassium-feldspar gneiss to an A-type granite (Byram granite) that is closely associated in time and space. As the ore zone through the Edison mines is approached, the K/Na ratio of the host rocks undergoes a distinct increase, consistent with extensive diagenetic alteration of rhyolitic pyroclastics in a hypersaline environment. This alteration provided a local ligand source for subsequent hydrothermal iron mineralization derived from the nearby pre-orogenic Byram granite. These iron concentrations were then remobilized and recrystallized during subsequent Grenville metamorphism. Although some of the magnetite deposits of the New Jersey Highlands display evidence of post-orogenic replacement and an association with undeformed pegmatites, the banded magnetite ore and related pegmatites of the Edison mines are conformable to the foliation of the host rock and are interpreted as metamorphic products of pre-orogenic, granite-derived, hydrothermal iron concentrates. 2005 NRC Canada. AU - Puffer, J. H. AU - Gorring, M. L. DA - 2005 DO - 10.1139/e05-082 IS - 10 J2 - Canadian Journal of Earth Sciences KW - Geochemistry geomorphology Hydrothermal synthesis Iron deposits Lithology Magnetite N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2005 SN - 00084077 SP - 1735-1748 ST - The Edison magnetite deposits in the context of pre-, syn-, and post-orogenic metallogenesis in the Grenville Highlands of New Jersey T2 - Canadian Journal of Earth Sciences TI - The Edison magnetite deposits in the context of pre-, syn-, and post-orogenic metallogenesis in the Grenville Highlands of New Jersey UR - http://dx.doi.org/10.1139/e05-082 VL - 42 ID - 523 ER - TY - CONF AB - The management of enterprise-wide information requires that metadata should be shared and globally accessible by all the heterogeneous products found in today's information technology environment. OLAP metadata includes various information about objects and the relationships among them in an OLAP system. OLAP tools are provided by different vendors and run on different hardware and software platforms. But there still is no standard for a logical OLAP model. To use OLAP tools efficiently, users need to be able to move metadata between tools or between tools and a repository. We have designed a metadata interchange model that can be shared among OLAP systems and have implemented a prototype called EDMIS as the OLAP metadata interchange system. The OLAP metadata interchange model that we propose is designed using XML DTDs. This model lists typical mismatches among the data models of commercial OLAP tools and proposes methods to overcome these differences. The OLAP metadata interchange system enables users to browse and search OLAP metadata on the Web. In addition, if a user wants to use the metadata in another OLAP system, the implemented system can automatically create new cubes using metadata in the repository. In order to validate the usefulness of the proposed system, we have used OLAP products such as MS SQL Server Analysis Services, Pilot DSS and Oracle Express. AU - In-Gi, Lee AU - Minsoo, Lee AU - Hwan-Seung, Yong C3 - EurAsia-ICT 2002: Information and Communication Technology. First EurAsian Conference. Proceedings, 29-31 Oct. 2002 DA - 2002 KW - business data processing data mining distributed databases electronic data interchange hypermedia markup languages Internet Management information systems meta data PB - Springer-Verlag PY - 2002 SP - 297-305 ST - EDMIS: metadata interchange system for OLAP T3 - EurAsia-ICT 2002: Information and Communication Technology. First EurAsian Conference. Proceedings (Lecture Notes in Computer Science Vol.2510) TI - EDMIS: metadata interchange system for OLAP ID - 1256 ER - TY - CONF AB - Educational Data Mining (EDM) is a multidisciplinary field that covers the area of analyzing educational data using data mining techniques. Since 2008 the first annual educational data mining conference has been established. Many articles have been published in the field of EDM due to the eager interest in improving teaching practices for both the learning process and the learners. This paper presents a systematic review of the published EDM literature during 2006-2013 based on the highly cited paper in this domain. More than three hundred papers were collected through Google scholar index, then they were classified according to the application domains, while also providing quantitative analysis of publications according to publication type, year, venue, category and tasks and contributors. Springer Science+Business Media Singapore 2014. AU - Al-Razgan, Muna AU - Al-Khalifa, Atheer S. AU - Al-Khalifa, Hend S. C3 - 1st International Conference on Advanced Data and Information Engineering, DaEng 2013, December 16, 2013 - December 18, 2013 DA - 2014 DO - 10.1007/978-981-4585-18-7_80 KW - data mining education Publishing L1 - internal-pdf://2755897432/chp%253A10.1007%252F978-981-4585-18-7_80.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2014 SN - 18761100 SP - 711-719 ST - Educational Data Mining: A systematic review of the published literature 2006-2013 T3 - Lecture Notes in Electrical Engineering TI - Educational Data Mining: A systematic review of the published literature 2006-2013 UR - http://dx.doi.org/10.1007/978-981-4585-18-7_80 VL - 285 LNEE ID - 1862 ER - TY - JOUR AB - The present study aimed at examining the brain mechanism of the effect of self-relevant possessive pronoun (SRPP). Eighteen participants observed the following stimuli: "wo de" (Chinese for "my"/"mine"), "ta de" (Chinese for "his"), "wo" (Chinese for "1"/"me"), "ta" (Chinese for "he"/"him"), small circle and big circle. Relative to "ta de", "wo" and "ta", "wo de" elicited a significantly larger P300 amplitude, i.e. the effect of SRPP. The results showed that the effect was not due to the difference between the characters that comprise "wo de" and the characters that comprise "ta de". Low-resolution brain electromagnetic tomography (LORETA) was also conducted, which showed activities in medial prefrontal cortex (MPFC), anterior cingulate and postcentral cortex. Two representations of SRPP, self-referential content (SRC) and first-person perspective (FPP), are discussed. (C) 2011 Elsevier Ireland Ltd. All rights reserved. AU - Shi, Zhan AU - Zhou, Aibao AU - Liu, Peiru AU - Zhang, Pengying AU - Han, Wei DA - 2011/04/25/ DO - 10.1016/j.neulet.2011.03.007 IS - 2 PY - 2011 SN - 0304-3940 SP - 174-179 ST - An EEG study on the effect of self-relevant possessive pronoun: Self-referential content and first-person perspective T2 - Neuroscience Letters TI - An EEG study on the effect of self-relevant possessive pronoun: Self-referential content and first-person perspective VL - 494 ID - 2265 ER - TY - JOUR AB - OBJECTIVE: To evaluate the evidence regarding the optimal content and format of prescription labels that might improve readability, understanding, and medication use. DATA SOURCES: We performed a systematic review of randomized controlled trials, observational studies, and systematic reviews from MEDLINE and the Cochrane Database (1990-June 2005), supplemented by reference mining and reference lists from a technical expert panel. STUDY SELECTION: We selected studies that focused on the content of physician-patient communication about medications and the content and format of prescription drug labels. DATA EXTRACTION: Two reviewers extracted and synthesized information about study design, populations, and outcomes. DATA SYNTHESIS: Of 2009 articles screened, 36 that addressed the content of physician-patient communication about medications and 69 that were related to the content or format of medication labels met review criteria. Findings showed that patients request information about a drug's indication, expected benefits, duration of therapy, and a thorough list of potential adverse effects. The evidence about label format supports the use of larger fonts, lists, headers, and white space, using simple language and logical organization to improve readability and comprehension. Evidence was not sufficient to support the use of pictographic icons. Little evidence linked label design or content to measurable health outcomes, adherence, or safety. CONCLUSIONS: Evidence suggests that specific content and format of prescription drug labels facilitate communication with and comprehension by patients. Efforts to improve the labels should be guided by such evidence, although additional study assessing the influence of label design on medication-taking behavior and health outcomes is needed. Several policy options exist to require minimal standards to optimize medical therapy, particularly in light of the new Medicare prescription drug benefit. AU - Shrank, William AU - Avorn, Jerry AU - Rolon, Cony AU - Shekelle, Paul DA - 2007/05//undefined DO - 10.1345/aph.1H582 IS - 5 J2 - Ann Pharmacother KW - *Drug Labeling Communication Comprehension Humans Patient Compliance Patient Education as Topic LA - eng PY - 2007 SN - 1542-6270 1060-0280 SP - 783-801 ST - Effect of content and format of prescription drug labels on readability, understanding, and medication use: a systematic review T2 - The Annals of pharmacotherapy TI - Effect of content and format of prescription drug labels on readability, understanding, and medication use: a systematic review VL - 41 ID - 269 ER - TY - CONF AB - The large number of experiments carried out within evaluation initiatives for information retrieval has led to an invaluable source for further research and meta-analysis. In this study, an analysis of the results of the Cross Language Evaluation Forum (CLEF) campaigns for the years 2000 to 2003 is presented. This study considers the performance of the systems for each individual topic. It is dedicated to the influence of named entities on retrieval performance. Named entities in topics lead to significant improvement of the retrieval quality in general and for most systems and tasks. The performance of systems varies for topics without, with one or two and with three or more named entities. This knowledge gained by data mining on the evaluation results can be exploited for the improvement of retrieval systems as well as for the design of topics for future CLEF campaigns. Copyright 2005 ACM. AU - Mandl, Thomas AU - Womser-Hacker, Christa C3 - 20th Annual ACM Symposium on Applied Computing, March 13, 2005 - March 17, 2005 DA - 2005 DO - 10.1145/1066677.1066919 KW - data mining information retrieval Query languages N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2005 SP - 1059-1064 ST - The effect of named entities on effectiveness in cross-language information retrieval evaluation T3 - Proceedings of the ACM Symposium on Applied Computing TI - The effect of named entities on effectiveness in cross-language information retrieval evaluation UR - http://dx.doi.org/10.1145/1066677.1066919 VL - 2 ID - 1303 ER - TY - JOUR AB - Adverse health effects from exposure to occupational whole-body vibration (WBV) are common among drivers. In particular some researchers consider that there is kinaesthetic and balance disturbance from WBV exposure in the workplace and this might be one of the aetiological factors responsible for occupational low back pain in drivers. The purpose of this study was to undertake a critical review of the literature to determine whether exposure to seated occupational WBV can affect standing balance performance in an actual or simulated occupational environment. Specific keywords and MeSH terms for three major areas included WBV, balance and occupation. These were used to conduct a systematic search of the following databases; PubMed, EMBASE (Ovid), Medline (Ovid), CINAHL (EBSCO), Academic Search Complete (ASC), AMED, Scopus, Web of Science, Science Direct, Proquest, Cochrane library(OVID), IEEExplore and ProQuest Dissertations and thesis, Google Scholar, WorldCat and related conference proceedings. Five articles met the inclusion criteria and were assessed for quality. Two were field studies conducted on actual vehicles (a long haul freight truck and a bulldozer), while the other three were laboratory studies simulating the characteristics of the following vehicles; long-haul-dump vehicle, underground mine shuttle car, and helicopter. The systematic review scored the methodological quality of the included articles with an average and standard deviation of 76 12.3% (range 59- 93%) indicative of high quality. Three of the five studies (two field and one laboratory) found evidence for seated WBV decreasing standing balance performance while two laboratory studies did not find such effects. Thus there is modest evidence to suggest there is a decrease in standing balance performance following exposure to seated occupational WBV. Relevance to industry: This systematic review suggests that balance deficits may exist immediately following exposure to occupational seated WBV and may predispose driver/operator to low back injury during manual material handling tasks immediately post driving. 2010 Elsevier B.V. AU - Mani, Ramakrishnan AU - Milosavljevic, Stephan AU - Sullivan, S. John DA - 2010 DO - 10.1016/j.ergon.2010.05.009 IS - 6 J2 - International Journal of Industrial Ergonomics KW - Accident prevention Automobile bodies Automobile parts and equipment Control Database systems Employment Materials handling Occupational risks Underground mine transportation Vehicles N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2010 SN - 01698141 SP - 698-709 ST - The effect of occupational whole-body vibration on standing balance: A systematic review T2 - International Journal of Industrial Ergonomics TI - The effect of occupational whole-body vibration on standing balance: A systematic review UR - http://dx.doi.org/10.1016/j.ergon.2010.05.009 VL - 40 ID - 816 ER - TY - JOUR AB - Objective To quantify the associations between occupational injury compensations and exposure to summer outdoor temperatures in Quebec (Canada). Methods The relationship between 374 078 injuries compensated by the Workers' Compensation Board (WCB) (between May and September, 2003-2010) and maximum daily outdoor temperatures was modelled using generalised linear models with negative binomial distributions. Pooled effect sizes for all 16 health regions of Quebec were estimated with random-effect models for meta-analyses for all compensations and by sex, age group, mechanism of injury, industrial sector and occupations (manual vs other) within each sector. Time lags and cumulative effect of temperatures were also explored. Results The relationship between daily counts of compensations and maximum daily temperatures reached statistical significance for three health regions. The incidence rate ratio (IRR) of daily compensations per 1 degrees C increase was 1.002 (95% CI 1.002 to 1.003) for all health regions combined. Statistically significant positive associations were observed for men, workers aged less than 45 years, various industrial sectors with both indoor and outdoor activities, and for slips/trips/falls, contact with object/equipment and exposure to harmful substances/environment. Manual occupations were not systematically at higher risk than non-manual and mixed ones. Conclusions This study is the first to quantify the association between work-related injury compensations and exposure to summer temperatures according to physical demands of the occupation and this warrants further investigations. In the context of global warming, results can be used to estimate future impacts of summer outdoor temperatures on workers, as well as to plan preventive interventions. AU - Adam-Poupart, Ariane AU - Smargiassi, Audrey AU - Busque, Marc-Antoine AU - Duguay, Patrice AU - Fournier, Michel AU - Zayed, Joseph AU - Labreche, France DA - 2015/05// DO - 10.1136/oemed-2014-102428 IS - 5 L1 - internal-pdf://3516616717/Adam-Poupart-2015-Effect of summer outdoor tem.pdf PY - 2015 SN - 1351-0711 SP - 338-345 ST - Effect of summer outdoor temperatures on work-related injuries in Quebec (Canada) T2 - Occupational and Environmental Medicine TI - Effect of summer outdoor temperatures on work-related injuries in Quebec (Canada) VL - 72 ID - 1973 ER - TY - JOUR AN - 112357004. Language: English. Entry Date: 20160126. Revision Date: 20160721. Publication Type: Article. Journal Subset: Biomedical AU - Vorst, Irene E. AU - Koek, Huiberdina L. AU - Vries, Rehana AU - Bots, Michiel L. AU - Reitsma, Johannes B. AU - Vaartjes, Ilonca DA - 2016/01// DB - c8h DO - 10.1111/jgs.13835 DP - EBSCOhost IS - 1 J2 - Journal of the American Geriatrics Society KW - Bias (Research) -- Evaluation Body mass index Cardiovascular Diseases Cardiovascular Risk Factors Confidence Intervals Coronary Disease Data Analysis Software Data Analysis, Statistical -- Methods Data Mining -- Methods Dementia -- Mortality Dementia -- Prognosis Descriptive Statistics Diabetes Mellitus Embase Funding Source Heart Failure Human Hypercholesterolemia Hypertension Inpatients meta analysis Multicenter Studies -- Netherlands Multivariate Statistics Netherlands Odds Ratio Psycinfo PubMed P-Value Relative Risk Sex Factors Smoking stroke Systematic review Univariate Statistics L1 - internal-pdf://0149798315/Vorst_et_al-2016-Journal_of_the_American_Geria.pdf N1 - Peer Reviewed; USA. Special Interest: Evidence-Based Practice. Grant Information: This study was financially supported by Alzheimer Nederland (Project WE.03 – 2012 – 38). Dr. Vaartjes was supported by a grant from the Dutch Heart Foundation (Facts and Figures).. NLM UID: 7503062. PY - 2016 SN - 0002-8614 SP - 37-46 ST - Effect of Vascular Risk Factors and Diseases on Mortality in Individuals with Dementia: A Systematic Review and Meta-Analysis T2 - Journal of the American Geriatrics Society TI - Effect of Vascular Risk Factors and Diseases on Mortality in Individuals with Dementia: A Systematic Review and Meta-Analysis UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=112357004&scope=site VL - 64 ID - 387 ER - TY - JOUR AB - This paper proposes a new clustering algorithm based on ant colony to solve the unsupervised clustering problem. Ant colony optimization (ACO) is a population-based meta-heuristic that can be used to find approximate solutions to difficult combinatorial optimization problems. Clustering Analysis, which is an important method in data mining, classifies a set of observations into two or more mutually exclusive unknown groups. This paper presents an effective clustering algorithm with ant colony which is based on stochastic best solution kept-ESacc. The algorithm is based on Sacc algorithm that was proposed by P.S.Shelokar. It's mainly virtue that best values iteratively are kept stochastically. Moreover, the new algorithm using Jaccard index to identify the optimal cluster number. The results of several times experiments in three datasets show that the new algorithm-ESacc is less in running time, is better in clustering effect and more stable than Sacc. Experimental results validate the novel algorithm's efficiency. In addition, Three indices of clustering validity analysis are selected and used to evaluate the clustering solutions of ESacc and Sacc. AU - Xiaoyong, Liu AU - Hui, Fu DA - 2010/04// DO - 10.4304/jcp.5.4.598-605 IS - 4 J2 - Journal of Computers KW - data mining optimisation pattern clustering PY - 2010 SN - 1796-203X SP - 598-605 ST - An Effective Clustering Algorithm With Ant Colony T2 - Journal of Computers TI - An Effective Clustering Algorithm With Ant Colony UR - http://dx.doi.org/10.4304/jcp.5.4.598-605 VL - 5 ID - 1288 ER - TY - CONF AB - One of the difficulties facing smaller institutions is the limited number of faculty from which mentoring partnerships can be formed. This is problematic when changing institutional priorities can cause a generational difference in the faculty expectations of junior and senior faculty with respect to research production; this change in institutional priority is occurring at many predominantly undergraduate institutions (Kramer 2005). It becomes even more problematic when the issue of diversity is brought into play. Numerous paradigms for faculty mentoring exist; the question becomes, which mentoring models or combination of models are most effective in institutions with small numbers and changing expectations for faculty performance? In particular, what models prove effective for underrepresented faculty? A plethora of articles exist on mentoring and its importance in faculty development (Smith et al 2000). Faculty mentoring is predominantly based on a male model which fosters a challenging, competitive environment and stresses independence (Seymour and Hewitt 1997). However, women prefer inclusive, cooperative environments that provide a sense of belonging (Gilligan 1982). Chesler and Chesler (2002) discuss innovative mentoring strategies related to gender, including the "distributed mentorship." This approach breaks the traditional one-on-one, senior faculty as mentor model and includes alternative methods such as peer mentoring and electronic methods for distance mentoring. This model may be particularly well suited to an institution lacking critical mass of women faculty and/or geographically isolated from other institutions. While gender may be one criterion in choosing a mentor, it cannot be the only criterion, nor does it guarantee a successful mentoring relationship (Chessler and Chessler 2002, Smith et al 2000). At institutions where there are less than ten women faculty members in the science or engineering programs, gender-specific mentoring or networking programs are not likely to be to be practical. This is generally due to the lower number of senior female faculty when compared to junior faculty in science, technology, engineering and math (STEM) fields (NSF 2007) as well as the fact that women faculty allocate a higher percentage of their time to teaching and service than their male counterparts (Bellas and Toutkoushian 1999). This paper will discuss the preliminary findings of a meta-analysis of a number of faculty mentoring programs at both large, research intensive institutions and predominantly undergraduate institutions to consider the question, "What are the strengths and weaknesses of different faculty mentoring paradigms, particularly with respect to diversity?" American Society for Engineering Education, 2010. AU - Surovek, Andrea AU - Karlin, Jennifer AU - Groen, Cassandra C3 - 2010 ASEE Annual Conference and Exposition, June 20, 2010 - June 23, 2010 DA - 2010 KW - Engineering education Professional aspects Societies and institutions teaching N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Society for Engineering Education PY - 2010 ST - Effective faculty mentoring: A preliminary assessment of mentoring paradigms T3 - ASEE Annual Conference and Exposition, Conference Proceedings TI - Effective faculty mentoring: A preliminary assessment of mentoring paradigms ID - 1290 ER - TY - JOUR AB - BACKGROUND: The growing consensus that most valuable data source for biomedical discoveries is derived from human samples is clearly reflected in the growing number of translational medicine and translational sciences departments across pharma as well as academic and government supported initiatives such as Clinical and Translational Science Awards (CTSA) in the US and the Seventh Framework Programme (FP7) of EU with emphasis on translating research for human health. METHODS: The pharmaceutical companies of Johnson and Johnson have established translational and biomarker departments and implemented an effective knowledge management framework including building a data warehouse and the associated data mining applications. The implemented resource is built from open source systems such as i2b2 and GenePattern. RESULTS: The system has been deployed across multiple therapeutic areas within the pharmaceutical companies of Johnson and Johnsons and being used actively to integrate and mine internal and public data to support drug discovery and development decisions such as indication selection and trial design in a translational medicine setting. Our results show that the established system allows scientist to quickly re-validate hypotheses or generate new ones with the use of an intuitive graphical interface. CONCLUSIONS: The implemented resource can serve as the basis of precompetitive sharing and mining of studies involving samples from human subjects thus enhancing our understanding of human biology and pathophysiology and ultimately leading to more effective treatment of diseases which represent unmet medical needs. AU - Szalma, Sandor AU - Koka, Venkata AU - Khasanova, Tatiana AU - Perakslis, Eric D. DA - 2010 DO - 10.1186/1479-5876-8-68 J2 - J Transl Med KW - *Health Knowledge, Attitudes, Practice *Information Management Biomarkers, Tumor/metabolism Humans Meta-Analysis as Topic Models, Biological Neoplasms/genetics/pathology Reproducibility of results Search Engine Software Translational Medical Research/*organization & administration LA - eng PY - 2010 SN - 1479-5876 1479-5876 SP - 68 ST - Effective knowledge management in translational medicine T2 - Journal of translational medicine TI - Effective knowledge management in translational medicine VL - 8 ID - 119 ER - TY - JOUR AB - Objectives: This study aimed to examine the potential effects of perceived organizational support (POS) and psychological capital (PsyCap) on combating depressive and anxious symptoms among Chinese underground coal miners. Methods: A cross-sectional survey was conducted in a coal-mining population in northeast China. The Center for Epidemiologic Studies Depression (CES-D) Scale, the Zung Self-Rating Anxiety Scale (SAS), the Survey of Perceived Organizational Support (SPOS) scale and the Psychological Capital Questionnaire (PCQ), which measure depressive and anxious symptoms, POS and PsyCap were distributed to 2,500 underground coal miners (1,925 effective respondents). Hierarchical linear regression was performed to examine the associations of POS and PsyCap (self-efficacy, hope, resilience and optimism) with depressive and anxious symptoms and the moderating roles of PsyCap and its components. The mediating roles of PsyCap and its components were examined using asymptotic and resampling strategies. Results: The mean levels of depressive and anxious symptoms were 19.91 and 49.69, respectively. POS, PsyCap, hope, resilience, optimism and POS x PsyCap were negatively associated with depressive symptoms. POS, PsyCap, resilience, POS x PsyCap and POS x resilience were negatively associated with anxious symptoms. PsyCap, hope, resilience and optimism partially mediated the association between POS and depressive symptoms. PsyCap and resilience partially mediated the association between POS and anxious symptoms. Conclusions: POS, PsyCap, hope, resilience and optimism could be effective resources for reducing depressive and anxious symptoms. PsyCap, hope, resilience and optimism act as moderators and mediators in the associations of POS with depressive and anxious symptoms. Managers should promote supportive settings and investment in PsyCap to improve workers' mental health. AU - Liu, Li AU - Wen, Fengting AU - Xu, Xin AU - Wang, Lie DA - 2015/01// IS - 1 PY - 2015 SN - 1341-9145 SP - 58-68 ST - Effective resources for improving mental health among Chinese underground coal miners: Perceived organizational support and psychological capital T2 - Journal of Occupational Health TI - Effective resources for improving mental health among Chinese underground coal miners: Perceived organizational support and psychological capital VL - 57 ID - 2296 ER - TY - JOUR AB - A meta-analysis of fractional mobilization data from 14 sets of experiments, totaling 103 different mixed sand and gravel beds and flow conditions, has been carried out in order to identify an expression for effective shear stress, here defined as the component of bed shear stress that is directly involved in transporting each grain size fraction in graded sediment. In doing so we test the assumption that excess stress should be defined solely in terms of a critical stress rather than effective stress, which exhibits sensitivity to the flow stage. In contrast to the approach which evaluates the size-distribution effects on motion threshold by comparing inferred transport rates, an alternative approach is utilized which is based on the skill of reproducing the measured, mobilized particle size distribution. A simple equation is developed for mobilization of sediment mixtures, based on a well-established transport law, and employing a classical "hiding function" approach to the problem of mitigating the bias toward mobilizing fine material in the mixture. We use inverse methods to find the optimal form of the hiding function which provides the best fit with the data. We find that the hiding function is indeed sensitive to the flow and bed composition. On this basis, a simple deterministic equation is proposed for fraction-specific effective stress, which outperforms the next best existing formula based on critical stress by 34% on aggregate. Copyright 2012 by the American Geophysical Union. AU - Buscombe, D. AU - Conley, D. C. DA - 2012 DO - 10.1029/2010WR010341 IS - 5 J2 - Water Resources Research KW - Data flow analysis inverse problems Mining laws and regulations Particle size analysis Sedimentology Sediments Shear stress L1 - internal-pdf://1192707556/Buscombe-2012-Effective shear stress of graded.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 00431397 ST - Effective shear stress of graded sediments T2 - Water Resources Research TI - Effective shear stress of graded sediments UR - http://dx.doi.org/10.1029/2010WR010341 http://onlinelibrary.wiley.com/store/10.1029/2010WR010341/asset/wrcr13041.pdf?v=1&t=itiqny91&s=0b928e3ecc830df6456eea7e445509b1c82461b1 VL - 48 ID - 1538 ER - TY - JOUR AB - Background: Behaviour-based safety (BBS) is one of the promising methods implemented in industry to reduce the incidence of accidents and injuries. Researchers have reported diverse BBS applications in various industries. The diversity of applications and results reveals a need for systematic review and meta-analysis to evaluate the overall effectiveness of BBS to improve workers’ safety and health. Objective: To quantitatively assess the effectiveness of behaviour-based safety (BBS) interventions in reducing accidents and injury occurrence in occupational settings. Methods: A critical appraisal was conducted to assess the methodological quality of study. A meta-analysis was also performed to identify the direction and size of the effect. Results: Thirteen studies met the inclusion criteria with a poor to marginal methodological quality. Eight studies achieved a statistically significant reduction in accidents/injuries after conducting a BBS intervention. The overall metaSAR (0.60, 95% CI 0.72–0.97) displayed a statistical significance in reducing accidents/injuries. Conclusions: A statistically significant reduction in injuries/accidents was observed after conducting a BBS intervention in a workplace. However, this statistical significance should be interpreted with caution, due to the poor to marginal methodological quality of studies included in the meta-analysis. Reliable results require interventions with high methodological quality based on the specific needs of the workplace. AU - Tuncel, Setenay AU - Lotlikar, Harshad AU - Salem, Sam AU - Daraiseh, Nancy DA - 2006/05/01/ DO - 10.1080/14639220500090273 DP - Taylor and Francis+NEJM IS - 3 PY - 2006 SN - 1463-922X SP - 191-209 ST - Effectiveness of behaviour based safety interventions to reduce accidents and injuries in workplaces T2 - Theoretical Issues in Ergonomics Science TI - Effectiveness of behaviour based safety interventions to reduce accidents and injuries in workplaces: critical appraisal and meta-analysis UR - http://dx.doi.org/10.1080/14639220500090273 http://www.tandfonline.com/doi/abs/10.1080/14639220500090273?journalCode=ttie20 VL - 7 Y2 - 2016/09/18/21:25:04 ID - 448 ER - TY - JOUR AB - To investigate whether the adjunctive use of diode laser provides additional benefits to scaling root planning alone in patients with chronic periodontitis, a meta-analysis was conducted according to the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-analysis statement and the Cochrane Collaboration. A literature search was performed on seven databases, followed by a manual search. Weighted mean differences and 95 % confidence intervals were calculated for the clinical attachment level, probing depth, and changes in the plaque and gingival indices. The I2 test was used for interstudy heterogeneity. Visual asymmetry inspection of the funnel plot, Egger's regression test, and the trim-and-fill method were used to investigate publication bias. All outcomes were evaluated at 6 months. No significant differences were observed for any investigated outcome of interest. No evidence of heterogeneity or publication bias was detected. These findings suggested that the use of diode laser as an adjunctive therapy to conventional nonsurgical periodontal therapy did not provide additional clinical benefit. However, given that few studies were included in the analysis, and that three of the five included studies had a high risk of bias, the results should be interpreted with caution. Important issues that remain to be clarified include the influence of smoking on clinical outcomes, the effectiveness of adjunctive diode laser on microbiological outcomes, and the occurrence of adverse events. Future long-term well-designed parallel randomized clinical trials are required to assess the effectiveness of the adjunctive use of diode laser, as well as the appropriate dosimetry and laser settings. AU - Sgolastra, F. AU - Severino, M. AU - Gatto, R. AU - Monaco, A. DA - 2013/09// DO - 10.1007/s10103-012-1181-5 IS - 5 J2 - Lasers in Medical Science KW - biological tissues biomedical equipment data analysis data mining dentistry Diseases dosimetry Information services iodine laser applications in medicine medical computing Microorganisms Planning radiation therapy Regression Analysis semiconductor lasers PY - 2013 SN - 0268-8921 SP - 1393-402 ST - Effectiveness of diode laser as adjunctive therapy to scaling root planning in the treatment of chronic periodontitis: a meta-analysis T2 - Lasers in Medical Science TI - Effectiveness of diode laser as adjunctive therapy to scaling root planning in the treatment of chronic periodontitis: a meta-analysis UR - http://dx.doi.org/10.1007/s10103-012-1181-5 VL - 28 ID - 1792 ER - TY - JOUR AB - OBJECTIVE To systematically review the evidence for effectiveness of HIV and sexually transmitted infection (STI) prevention interventions in female sex workers in resource poor settings. METHODS Published and unpublished studies were identified through electronic databases (Cochrane database, Medline, Embase, and Web of Science), hand searching and contacting experts. Randomized-controlled-trials and quasi-experimental studies were included if they were conducted in female sex workers from low and middle income settings; if the exposure was described; if the outcome was externally measurable, it was after the discovery of HIV, and if follow-up was longer than 6 months. A priori criteria were used to extract data. Meta-analysis was not performed due to the heterogeneity of studies. RESULTS Twenty-eight interventions were included. Despite methodological limitations, the evidence suggested that combining sexual risk reduction, condom promotion and improved access to STI treatment reduces HIV and STI acquisition in sex workers receiving the intervention. Strong evidence that regular STI screening or periodic treatment of STIs confers additional protection against HIV was lacking. It appears that structural interventions, policy change or empowerment of sex workers, reduce the prevalence of STIs and HIV. CONCLUSION Rigorous evaluation of HIV/STI prevention interventions in sex workers is challenging. There is some evidence for the efficacy of multi-component interventions, and/or structural interventions. The effect of these interventions on the wider population has rarely been evaluated. AU - Shahmanesh, Maryam AU - Patel, Vikram AU - Mabey, David AU - Cowan, Frances DA - 2008/05// DO - 10.1111/j.1365-3156.2008.02040.x IS - 5 PY - 2008 SN - 1360-2276 SP - 659-679 ST - Effectiveness of interventions for the prevention of HIV and other sexually transmitted infections in female sex workers in resource poor setting: a systematic review T2 - Tropical Medicine & International Health TI - Effectiveness of interventions for the prevention of HIV and other sexually transmitted infections in female sex workers in resource poor setting: a systematic review VL - 13 ID - 1949 ER - TY - JOUR AU - Robson, Lynda S. AU - Clarke, Judith A. AU - Cullen, Kimberley AU - Bielecky, Amber AU - Severin, Colette AU - Bigelow, Philip L. AU - Irvin, Emma AU - Culyer, Anthony AU - Mahood, Quenby DA - 2007 DP - Google Scholar IS - 3 PY - 2007 SP - 329-353 ST - The effectiveness of occupational health and safety management system interventions T2 - Safety Science TI - The effectiveness of occupational health and safety management system interventions: a systematic review UR - http://www.sciencedirect.com/science/article/pii/S0925753506000701 VL - 45 Y2 - 2016/09/24/15:39:54 ID - 2377 ER - TY - JOUR AU - Anderson, Laurie M. AU - Quinn, Toby A. AU - Glanz, Karen AU - Ramirez, Gilbert AU - Kahwati, Leila C. AU - Johnson, Donna B. AU - Buchanan, Leigh Ramsey AU - Archer, W. Roodly AU - Chattopadhyay, Sajal AU - Kalra, Geetika P. AU - others DA - 2009 DP - Google Scholar IS - 4 L1 - http://calwic.org/storage/documents/conference/2010/precon/liftoff_handout6.pdf internal-pdf://2511712092/Anderson-2009-The effectiveness of worksite nu.pdf PY - 2009 SP - 340-357 ST - The effectiveness of worksite nutrition and physical activity interventions for controlling employee overweight and obesity T2 - American journal of preventive medicine TI - The effectiveness of worksite nutrition and physical activity interventions for controlling employee overweight and obesity: a systematic review UR - http://www.sciencedirect.com/science/article/pii/S0749379709004863 https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.ajpm-online.net%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLHj3ZzqSv9HPw%253D%253D%26MAID%3DctGs1El0IEKNjr88ObZndA%253D%253D%26JSESSIONID%3Daaaz4WzxeDeE06Q9wtvDv%26ORIGIN%3D607809162%26RD%3DRD&acw=&utt= http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0749379709004863/1-s2.0-S0749379709004863-main.pdf?_tid=b269bfc8-832c-11e6-85ec-00000aacb35e&acdnat=1474814047_5049ed49c84318e7442ace584aca8697 VL - 37 Y2 - 2016/09/24/15:39:54 ID - 2382 ER - TY - JOUR AB - Schizophrenia is associated with marked deficits in theory of mind (ToM), a higher-order form of social cognition representing the thoughts, emotions and intentions of others. Altered brain activation in the medial prefrontal cortex and temporo-parietal cortex during ToM tasks has been found in patients with schizophrenia, but the relevance of these neuroimaging findings for the heritable risk for schizophrenia is unclear. We tested the hypothesis that activation of the ToM network is altered in healthy risk allele carriers of the single-nucleotide polymorphism rs1344706 in the gene ZNF804A, a recently discovered risk variant for psychosis with genome-wide support. In all, 109 healthy volunteers of both sexes in Hardy-Weinberg equilibrium for rs1344706 were investigated with functional magnetic resonance imaging during a ToM task. As hypothesised, risk carriers exhibited a significant (P < 0.05 false discovery rate, corrected for multiple comparisons) risk allele dose effect on neural activity in the medial prefrontal cortex and left temporo-parietal cortex. Moreover, the same effect was found in the left inferior parietal cortex and left inferior frontal cortex, which are part of the human analogue of the mirror neuron system. In addition, in an exploratory analysis (P < 0.001 uncorrected), we found evidence for aberrant functional connectivity between the frontal and temporo-parietal regions in risk allele carriers. To conclude, we show that a dysfunction of the ToM network is associated with a genome-wide supported genetic risk variant for schizophrenia and has promise as an intermediate phenotype that can be mined for the development of biological interventions targeted to social dysfunction in psychiatry. Molecular Psychiatry (2011) 16, 462-470; doi:10.1038/mp.2010.18; published online 16 March 2010 AU - Walter, H. AU - Schnell, K. AU - Erk, S. AU - Arnold, C. AU - Kirsch, P. AU - Esslinger, C. AU - Mier, D. AU - Schmitgen, M. M. AU - Rietschel, M. AU - Witt, S. H. AU - Noethen, M. M. AU - Cichon, S. AU - Meyer-Lindenberg, A. DA - 2011/04// DO - 10.1038/mp.2010.18 IS - 4 PY - 2011 SN - 1359-4184 SP - 462-470 ST - Effects of a genome-wide supported psychosis risk variant on neural activation during a theory-of-mind task T2 - Molecular Psychiatry TI - Effects of a genome-wide supported psychosis risk variant on neural activation during a theory-of-mind task VL - 16 ID - 2271 ER - TY - JOUR AB - Many streams worldwide are affected by heavy metal contamination, mostly due to past and present mining activities. Here we present a meta-analysis of 38 studies (reporting 133 cases) published between 1978 and 2014 that reported the effects of heavy metal contamination on the decomposition of terrestrial litter in running waters. Overall, heavy metal contamination significantly inhibited litter decomposition. The effect was stronger for laboratory than for field studies, likely due to better control of confounding variables in the former, antagonistic interactions between metals and other environmental variables in the latter or differences in metal identity and concentration between studies. For laboratory studies, only copper + zinc mixtures significantly inhibited litter decomposition, while no significant effects were found for silver, aluminum, cadmium or zinc considered individually. For field studies, coal and metal mine drainage strongly inhibited litter decomposition, while drainage from motorways had no significant effects. The effect of coal mine drainage did not depend on drainage pH. Coal mine drainage negatively affected leaf litter decomposition independently of leaf litter identity; no significant effect was found for wood decomposition, but sample size was low. Considering metal mine drainage, arsenic mines had a stronger negative effect on leaf litter decomposition than gold or pyrite mines. Metal mine drainage significantly inhibited leaf litter decomposition driven by both microbes and invertebrates, independently of leaf litter identity; no significant effect was found for microbially driven decomposition, but sample size was low. Overall, mine drainage negatively affects leaf litter decomposition, likely through negative effects on invertebrates. 2015 Elsevier Ltd. All rights reserved. AU - Ferreira, Veronica AU - Koricheva, Julia AU - Duarte, Sofia AU - Niyogi, Dev K. AU - Guerold, Francois DA - 2016 DO - 10.1016/j.envpol.2015.12.060 J2 - Environmental Pollution KW - Animals Coal Coal mines Contamination Drainage Heavy metals Metals River pollution Zinc L1 - internal-pdf://1289360871/Ferreira-2016-Effects of anthropogenic heavy m.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 02697491 SP - 261-270 ST - Effects of anthropogenic heavy metal contamination on litter decomposition in streams - A meta-analysis T2 - Environmental Pollution TI - Effects of anthropogenic heavy metal contamination on litter decomposition in streams - A meta-analysis UR - http://dx.doi.org/10.1016/j.envpol.2015.12.060 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0269749115302748/1-s2.0-S0269749115302748-main.pdf?_tid=cf660eea-8333-11e6-82e6-00000aacb361&acdnat=1474817102_094eaab01008d83538b060e8cf516951 VL - 210 ID - 1817 ER - TY - JOUR AU - Jaspers, Monique W. M. AU - Smeulers, Marian AU - Vermeulen, Hester AU - Peute, Linda W. DA - 2011 DP - Google Scholar IS - 3 L1 - http://dare.uva.nl/document/2/115907 PY - 2011 SP - 327-334 ST - Effects of clinical decision-support systems on practitioner performance and patient outcomes T2 - Journal of the American Medical Informatics Association TI - Effects of clinical decision-support systems on practitioner performance and patient outcomes: a synthesis of high-quality systematic review findings UR - http://jamia.oxfordjournals.org/content/18/3/327.short VL - 18 Y2 - 2016/09/24/15:41:08 ID - 2391 ER - TY - CONF AB - Sequence alignment is widely used in bioinformatics for revealing the genetic diversity of organisms and annotating gene functions by finding regions of similarity across biosequences. Such alignment requires sequences to be represented in the DNA or protein alphabet for tools such as Clustal to work. Previous work has demonstrated the feasibility of applying biosequence multiple alignment techniques to computer viral and worm signatures to find regions of similarity that can serve as malware 'motifs', or meta-signatures. However, it was not known how different ways of representing signatures in an appropriate biosequence alphabet would affect the alignment results. This paper investigates the effects of adopting three different ways of representing malware signatures on sequence alignment and motif identification. The results of the alignment were checked with perceptrons, decision tree and logistic regression. The best performing representation was used to derive rules in PRISM that give rise to 'motifs' that can perform the role of 'meta-signatures'. All analysis was undertaken on the publicly available data mining tool, Weka (Waikato Environment for Knowledge Analysis: http://www.cs.waikato.ac.nz/ml/weka/). 2012 IEEE. AU - Narayanan, Ajit AU - Chen, Yi AU - Pang, Shaoning AU - Tao, Ban C3 - 2012 8th International Conference on Computational Intelligence and Security, CIS 2012, November 17, 2012 - November 18, 2012 DA - 2012 DO - 10.1109/CIS.2012.27 KW - artificial intelligence bioinformatics Computer viruses Computer worms data mining decision trees DNA sequences Logistics Network security Pattern recognition systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 86-90 ST - The effects of different representations on malware motif identification T3 - Proceedings of the 2012 8th International Conference on Computational Intelligence and Security, CIS 2012 TI - The effects of different representations on malware motif identification UR - http://dx.doi.org/10.1109/CIS.2012.27 ID - 1243 ER - TY - JOUR AB - This paper describes the effects of magmatic intrusions on petrology, mineralogy, and geochemistry of the late Palaeozoic coals from the Fengfeng-Handan coalfield, Hebei, China. The narrowly zoned coals of variable ranks, from high-volatile A bituminous (hvAb), through medium-volatile bituminous (mvb), low-volatile bituminous (lvb), semianthracite (sa), and anthracite (an), to meta-anthracite (ma) in the coalfield, were found to be best explained by magmatic inputs. The minerals derived from magmatic thermal alteration consist of pyrite, calcite, and ankerite, which mainly occur as fracture or vesicle fillings in the thermally altered highrank coals. The variation in element concentrations with coal ranks (enrichment, depletion, and no variation) and mineralogical affinity were used to classify elements in coals into six groups, groups A-F. Elements in group A (B, F, Cl, Br, and Hg), group B (As, Co, Cu, Ni, and Pb), group C (Sr, Mg, Ca, Mn, and Zn), and Group D (U) were enriched in the altered coals, indicating that the magmatic inputs are the source of these elements. Group A elements are volatile elements that probably came from the hydrothermal solutions, then deposited or were driven off from an organic component in coal by magmatic heat, and then redeposited in the coal. Group B elements mainly distribute in the fracture or vesicle fillings of pyrites. The dominant carriers of group C elements are thermally altered calcite and ankerite. Uranium in group D occurs in organic-bonded and silicate associations. Group E elements, including Sb, Sc, and V, have a depletion trend in the altered coals, and the remaining elements in group F do not clearly vary in the unaltered, slightly altered, or altered coals. The element concentrations independent of coal ranks in groups E and F may suggest that these elements are inherent to the coal. 2007 American Chemical Society. AU - Dai, Shifeng AU - Ren, Deyi DA - 2007 DO - 10.1021/ef060618f IS - 3 J2 - Energy and Fuels KW - Bituminous coal Calcite Geochemistry Hydrothermal synthesis Mineralogy Petrology Pyrites L1 - internal-pdf://0094307398/Dai-2007-Effects of magmatic intrusion on mine.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2007 SN - 08870624 SP - 1663-1673 ST - Effects of magmatic intrusion on mineralogy and geochemistry of coals from the Fengfeng-Handan coalfield, Hebei, China T2 - Energy and Fuels TI - Effects of magmatic intrusion on mineralogy and geochemistry of coals from the Fengfeng-Handan coalfield, Hebei, China UR - http://dx.doi.org/10.1021/ef060618f http://pubs.acs.org.ezproxy.lib.vt.edu/doi/pdfplus/10.1021/ef060618f VL - 21 ID - 632 ER - TY - JOUR AU - MacLean, Catherine H. AU - Newberry, Sydne J. AU - Mojica, Walter A. AU - Khanna, Puja AU - Issa, Amalia M. AU - Suttorp, Marika J. AU - Lim, Yee-Wee AU - Traina, Shana B. AU - Hilton, Lara AU - Garland, Rena AU - others DA - 2006 DP - Google Scholar IS - 4 L1 - http://faculty.missouri.edu/~glaserr/3700s14/Rev_Nutra_Cancer_Omega3.pdf PY - 2006 SP - 403-415 ST - Effects of omega-3 fatty acids on cancer risk T2 - Jama TI - Effects of omega-3 fatty acids on cancer risk: a systematic review UR - http://archpsyc.jamanetwork.com/article.aspx?articleid=202260 http://jama.jamanetwork.com/article.aspx?articleid=202260 VL - 295 Y2 - 2016/09/24/16:09:56 ID - 2465 ER - TY - JOUR AU - Maher, Alicia Ruelaz AU - Maglione, Margaret AU - Bagley, Steven AU - Suttorp, Marika AU - Hu, Jian-Hui AU - Ewing, Brett AU - Wang, Zhen AU - Timmer, Martha AU - Sultzer, David AU - Shekelle, Paul G. DA - 2011 DP - Google Scholar IS - 12 PY - 2011 SP - 1359-1369 ST - Efficacy and comparative effectiveness of atypical antipsychotic medications for off-label uses in adults T2 - Jama TI - Efficacy and comparative effectiveness of atypical antipsychotic medications for off-label uses in adults: a systematic review and meta-analysis UR - http://archpsyc.jamanetwork.com/article.aspx?articleid=1104423 http://jama.jamanetwork.com/article.aspx?articleid=1104423 VL - 306 Y2 - 2016/09/24/15:36:22 ID - 2340 ER - TY - JOUR AB - BACKGROUND: Cryotherapy is a local treatment for cutaneous leishmaniasis with variable efficacy and greater safety than conventional treatment. The objective of this study is to evaluate the efficacy and safety of cryotherapy for the treatment of cutaneous leishmaniasis and to compare it with pentavalent antimonials. METHODS: A meta-analysis based on a search of nine databases with eight strategies was conducted. Inclusion and exclusion criteria were applied, the methodological quality of each article was evaluated, and the reproducibility of the study selection and information extraction from each clinical trial was assured. The per lesion and per patient efficacy was calculated, and a meta-analysis of relative risks with the random effects model and the Dersimonian and Laird's, Begg, and Egger tests, along with a sensitivity analysis, were performed. A meta-regression based on the methodological quality of the trials included was also performed. RESULTS: Eight studies were included in which respective per lesion efficacies of 67.3 % and 67.7 % were reported for cryotherapy and pentavalent antimonials. In 271 patients treated with cryotherapy and in 199 with pentavalent antimonials, respective per protocol and intent to treat efficacies of 63.6 % and 54.2 % were found in the first group, and per protocol and intent to treat efficacies of 74.7 % and 68.3 % were found in the second group. The relative risk for the comparison of efficacy in the two groups was 0.73 (0.42-1.29). The results of the sensitivity analysis and the meta-regression analysis of relative risks were statistically equal to the overall results. CONCLUSION: This investigation provides evidence in favor of the use of cryotherapy given that its efficacy is similar to that of pentavalent antimonials. AU - Lopez-Carvajal, Liliana AU - Cardona-Arias, Jaiberth Antonio AU - Zapata-Cardona, Maria Isabel AU - Sanchez-Giraldo, Vanesa AU - Velez, Ivan Dario DA - 2016 DO - 10.1186/s12879-016-1663-3 J2 - BMC Infect Dis KW - Clinical trials as a topic Cryotherapy Efficacy Leishmaniasis, cutaneous Meta-analysis as a topic LA - eng PY - 2016 SN - 1471-2334 1471-2334 SP - 360 ST - Efficacy of cryotherapy for the treatment of cutaneous leishmaniasis: meta-analyses of clinical trials T2 - BMC infectious diseases TI - Efficacy of cryotherapy for the treatment of cutaneous leishmaniasis: meta-analyses of clinical trials VL - 16 ID - 4 ER - TY - JOUR AB - This research compiles experimental studies from 1988 to 2010 that examined the influence of the cooperative learning method, as compared with that of traditional methods, on mathematics achievement and on attitudes towards mathematics. The related field was searched using the following key words in Turkish "matematik ve isbirlikli ogrenme, kubasik ogrenme, isbirlikci ogrenme" and in English "cooperative learning and mathematics, meta-analysis." This study covered reports, articles published in refereed journals, and MA and Ph.D. theses. For the international literature review, advanced databases, such as ProQuest Digital Dissertations, EBSCO, and Eric, were mined. A total of 26 studies (n = 36) were considered in the meta-analysis. The effect size for cooperative learning on academic achievement was found to be d(++) = 0.59 (95% CI: 0.38 between 0.80) and the effect size for cooperative learning on attitudes towards mathematics was found to be d++ = 0.16. In terms of achievement, the effect size was found to be medium, positive, and significant, but for attitude, it was small, positive, and significant. As a result, cooperative learning was reported to be a more successful method than the traditional method with regard to both achievements and attitudes. AU - Capar, Gulfer AU - Tarim, Kamuran DA - 2015/04// IS - 2 PY - 2015 SN - 1303-0485 SP - 553-559 ST - Efficacy of the Cooperative Learning Method on Mathematics Achievement and Attitude: A Meta-Analysis Research T2 - Educational Sciences-Theory & Practice TI - Efficacy of the Cooperative Learning Method on Mathematics Achievement and Attitude: A Meta-Analysis Research VL - 15 ID - 1904 ER - TY - JOUR AB - This paper investigates the role of heterogeneity in the insurance sector. Here, heterogeneity is represented by different types of insurance provided and regions served. Using a balanced panel data set on Brazilian insurance companies as a case study, results corroborate this underlying hypothesis of heterogeneity's impact on performance. The implications of this research for practitioners and academics are not only addressed in terms of market segmentation which ones are the best performers but also in terms of mergers and acquisitions as long as insurance companies may increase their performance with the right balance of types of insurance offered and regions served. (C) 2015 Elsevier B.V. All rights reserved. AU - Wanke, Peter AU - Barros, Carlos Pestana DA - 2016/02// DO - 10.1016/j.econmod.2015.11.005 PY - 2016 SN - 0264-9993 SP - 8-22 ST - Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach T2 - Economic Modelling TI - Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach VL - 53 ID - 1986 ER - TY - CONF AB - The gene microarray data are arranged based on the pattern of gene expression using various clustering algorithms and the dynamic natures of biological processes are generally unnoticed by the traditional clustering algorithms. To overcome the problems in gene expression analysis, novel algorithms for finding the coregulated clusters, dimensionality reduction and clustering have been proposed. The coregulated clusters are determined using biclustering algorithm, so it is called as coregulated biclusters. The coregulated biclusters are two or more genes which contain similarity features. The dimensionality reduction of microarray gene expression data is carried out using Locality Sensitive Discriminant Analysis (LSDA). To maintain bond between the neighborhoods in locality, LSDA is used and an efficient meta heuristic optimization algorithm called Artificial Bee Colony (ABC) using Fuzzy C Means clustering is used for clustering the gene expression based on the pattern. The experimental results shows that proposed algorithm achieve a higher clustering accuracy and takes lesser less clustering time when compared with existing algorithms. AU - Sathishkumar, K. AU - Balamurugan, E. AU - Narendran, P. C3 - Mining Intelligence and Knowledge Exploration. First International Conference, MIKE 2013, 18-20 Dec. 2013 DA - 2013 DO - 10.1007/978-3-319-03844-5_13 KW - biology computing data analysis fuzzy set theory optimisation pattern clustering PB - Springer International Publishing PY - 2013 SP - 120-9 ST - An Efficient Artificial Bee Colony and Fuzzy C Means Based Co-regulated Biclustering from Gene Expression Data T3 - Mining Intelligence and Knowledge Exploration. First International Conference, MIKE 2013. Proceedings: LNCS 8284 TI - An Efficient Artificial Bee Colony and Fuzzy C Means Based Co-regulated Biclustering from Gene Expression Data UR - http://dx.doi.org/10.1007/978-3-319-03844-5_13 ID - 894 ER - TY - CONF AB - Underwater wireless sensor networks provide a new remote surveillance way to monitor the underwater environment, and have drawn increasing attention in the past few years from both academic and industry. Underwater sensor networks will find applications in oceanographic data collection, ocean sampling, pollution and environmental monitoring, offshore exploration, disaster prevention, assisted navigation, distributed tactical surveillance, mine reconnaissance, and submarine surveillance. Plenty of challenges have to be faced during the research, since the nature of underwater environment variable temporally and spatially In this paper, the efficient deployment of surface area for underwater wireless sensor networks was presented. To familiarize with underwater wireless sensor networks deployment, this paper started by providing background information on the architecture and trajectory of the sinking node. Then, a kind of novel inflatable sensor nodes was proposed to make sure that they can have a given trajectory, according to the analysis sinking process of the sensor nodes which tie to the anchor with winch. For a given target area, the reducing of surface deployment area and numbers of nodes is the most significant advantage. To illustrate the performance, the compare was made from two aspects. 2012 IEEE. AU - Li, Shiwei AU - Wang, Wenjing AU - Zhang, Juwei C3 - 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012, October 30, 2012 - November 1, 2012 DA - 2012 DO - 10.1109/CCIS.2012.6664549 KW - cloud computing Disaster prevention Monitoring Sensor nodes N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 1083-1086 ST - Efficient deployment surface area for underwater wireless sensor networks T3 - Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 TI - Efficient deployment surface area for underwater wireless sensor networks UR - http://dx.doi.org/10.1109/CCIS.2012.6664549 VL - 3 ID - 484 ER - TY - CONF AB - In an era that, searching the WWW for information becomes a tedious task, it is obvious that mainly search engines and other data mining mechanisms need to be enhanced with characteristics such as NLP in order to better analyze and recognize user queries and fetch data. We present an efficient mechanism for stemming and tagging for the Greek language. Our system is constructed in such a way that can be easily adapted to any existing system and support it with recognition and analysis of Greek words. We examine the accuracy of the system and its ability to support peRSSonal a medium constructed for offering meta-portal news services to internet users. We present experimental evaluation of the system compared to already existing stemmers and taggers of the Greek language and we prove the higher efficiency and quality of results of our system. AU - Adam, G. AU - Asimakis, K. AU - Bouras, C. AU - Poulopoulos, V. C3 - Knowledge-Based and Intelligent Information and Engineering Systems. 14th International Conference, KES 2010, 8-10 Sept. 2010 DA - 2010 DO - 10.1007/978-3-642-15393-8_44 KW - information retrieval Internet natural language processing portals PB - Springer Verlag PY - 2010 SP - 389-97 ST - An efficient mechanism for stemming and tagging: the case of Greek language T3 - Knowledge-Based and Intelligent Information and Engineering Systems. Proceedings 14th International Conference, KES 2010 TI - An efficient mechanism for stemming and tagging: the case of Greek language UR - http://dx.doi.org/10.1007/978-3-642-15393-8_44 VL - vol.3 ID - 910 ER - TY - CHAP A2 - Setchi, R. A2 - Jordanov, I. A2 - Howlett, R. J. A2 - Jain, L. C. AB - In an era that, searching the WWW for information becomes a tedious task, it is obvious that mainly search engines and other data mining mechanisms need to be enhanced with characteristics such as NLP in order to better analyze and recognize user queries and fetch data. We present an efficient mechanism for stemming and tagging for the Greek language. Our system is constructed in such a way that can be easily adapted to any existing system and support it with recognition and analysis of Greek words. We examine the accuracy of the system and its ability to support peRSSonal a medium constructed for offering meta-portal news services to internet users. We present experimental evaluation of the system compared to already existing stemmers and taggers of the Greek language and we prove the higher efficiency and quality of results of our system. AU - Adam, Giorgos AU - Asimakis, Konstantinos AU - Bouras, Christos AU - Poulopoulos, Vassilis PY - 2010 SN - 978-3-642-15392-1 SP - 389-397 ST - An Efficient Mechanism for Stemming and Tagging: The Case of Greek Language T2 - Knowledge-Based and Intelligent Information and Engineering Systems, Pt Iii TI - An Efficient Mechanism for Stemming and Tagging: The Case of Greek Language VL - 6278 ID - 2116 ER - TY - CONF AB - Discovering the correct dataset efficiently is critical for computations and effective simulations in scientific experiments. In contrast to searching web documents over the Internet, massive binary datasets are difficult to browse or search. Users must select a reliable data publisher from the large collection of data services available over the Internet. Once a publisher is selected, the user must then discover the dataset that matches the computation's needs, among tens of thousands of large data packages that are available. Some of the data hosting services provide advanced data search interfaces but their search scope is often limited to local datasets. Because scientific datasets are often encoded as binary data formats, querying or validating missing data over hundreds of Megabytes of a binary file involves a compute intensive decoding process. We have developed a system, GLEAN, that provides an efficient data discovery environment for users in scientific computing. Fine-grained metadata is automatically extracted to provide a micro view and profile of the large dataset to the users. We have used the Granules cloud runtime to orchestrate the MapReduce computations that extract metadata from the datasets. Here we focus on the overall architecture of the system and how it enables efficient data discovery. We applied our framework to a data discovery application in the atmospheric science domain. This paper includes a performance evaluation with observational datasets. AU - Pallickara, S. L. AU - Pallickara, S. AU - Zupanski, M. AU - Sullivan, S. C3 - 2010 IEEE 2nd International Conference on Cloud Computing Technology and Science (CloudCom 2010), 30 Nov.-3 Dec. 2010 DA - 2010 DO - 10.1109/CloudCom.2010.99 KW - data analysis data mining data visualisation meta data scientific information systems Web services PB - IEEE Computer Society PY - 2010 SP - 573-80 ST - Efficient Metadata Generation to Enable Interactive Data Discovery over Large-Scale Scientific Data Collections T3 - Proceedings of the 2010 IEEE 2nd International Conference on Cloud Computing Technology and Science (CloudCom 2010) TI - Efficient Metadata Generation to Enable Interactive Data Discovery over Large-Scale Scientific Data Collections UR - http://dx.doi.org/10.1109/CloudCom.2010.99 ID - 960 ER - TY - JOUR AB - For clustering biomedical documents, we can consider three different types of information: the local-content (LC) information from documents, the global-content (GC) information from the whole MEDLINE collections, and the medical subject heading (MeSH)-semantic (MS) information. Previous methods for clustering biomedical documents are not necessarily effective for integrating different types of information, by which only one or two types of information have been used. Recently, the performance of MEDLINE document clustering has been enhanced by linearly combining both the LC and MS information. However, the simple linear combination could be ineffective because of the limitation of the representation space for combining different types of information (similarities) with different reliability. To overcome the limitation, we propose a new semisupervised spectral clustering method, i.e., SSNCut, for clustering over the LC similarities, with two types of constraints: must-link (ML) constraints on document pairs with high MS (or GC) similarities and cannot-link (CL) constraints on those with low similarities. We empirically demonstrate the performance of SSNCut on MEDLINE document clustering, by using 100 data sets of MEDLINE records. Experimental results show that SSNCut outperformed a linear combination method and several well-known semisupervised clustering methods, being statistically significant. Furthermore, the performance of SSNCut with constraints from both MS and GC similarities outperformed that from only one type of similarities. Another interesting finding was that ML constraints more effectively worked than CL constraints, since CL constraints include around 10% incorrect ones, whereas this number was only 1% for ML constraints. AU - Gu, Jun AU - Feng, Wei AU - Zeng, Jia AU - Mamitsuka, Hiroshi AU - Zhu, Shanfeng DA - 2013/08//undefined DO - 10.1109/TSMCB.2012.2227998 IS - 4 J2 - IEEE Trans Cybern KW - *Cluster Analysis *Medical Subject Headings *MEDLINE *Supervised Machine Learning Data Mining/*methods Semantics LA - eng PY - 2013 SN - 2168-2275 2168-2267 SP - 1265-1276 ST - Efficient Semisupervised MEDLINE Document Clustering With MeSH-Semantic and Global-Content Constraints T2 - IEEE transactions on cybernetics TI - Efficient Semisupervised MEDLINE Document Clustering With MeSH-Semantic and Global-Content Constraints VL - 43 ID - 321 ER - TY - JOUR AB - Technologies and experimental strategies have improved dramatically in the field of genomics and proteomics facilitating analysis of cellular and biochemical processes, as well as of proteins networks. Based on numerous such analyses, there has been a significant increase of publications in life sciences and biomedicine. In this respect, knowledge bases are struggling to cope with the literature volume and they may not be able to capture in detail certain aspects of proteins and genes. One important aspect of proteins is their phosphorylated states and their implication in protein function and protein interacting networks. For this reason, we developed eFIP, a web-based tool, which aids scientists to find quickly abstracts mentioning phosphorylation of a given protein (including site and kinase), coupled with mentions of interactions and functional aspects of the protein. eFIP combines information provided by applications such as eGRAB, RLIMS-P, eGIFT and AIIAGMT, to rank abstracts mentioning phosphorylation, and to display the results in a highlighted and tabular format for a quick inspection. In this chapter, we present a case study of results returned by eFIP for the protein BAD, which is a key regulator of apoptosis that is posttranslationally modified by phosphorylation. AU - Arighi, Cecilia N. AU - Siu, Amy Y. AU - Tudor, Catalina O. AU - Nchoutmboube, Jules A. AU - Wu, Cathy H. AU - Shanker, Vijay K. DA - 2011 DO - 10.1007/978-1-60761-977-2_5 DP - PubMed J2 - Methods Mol. Biol. KW - Animals Computational Biology Data Mining Humans Internet Phosphorylation Proteins Research Report Software L1 - internal-pdf://2474738234/Arighi-2011-eFIP_ a tool for mining functional.pdf LA - eng PY - 2011 SN - 1940-6029 SP - 63-75 ST - eFIP T2 - Methods in Molecular Biology (Clifton, N.J.) TI - eFIP: a tool for mining functional impact of phosphorylation from literature UR - http://www.ncbi.nlm.nih.gov/pubmed/21082428 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4563866/pdf/nihms482312.pdf VL - 694 ID - 443 ER - TY - JOUR AB - BACKGROUND: With the biomedical literature continually expanding, searching PubMed for information about specific genes becomes increasingly difficult. Not only can thousands of results be returned, but gene name ambiguity leads to many irrelevant hits. As a result, it is difficult for life scientists and gene curators to rapidly get an overall picture about a specific gene from documents that mention its names and synonyms. RESULTS: In this paper, we present eGIFT (http://biotm.cis.udel.edu/eGIFT), a web-based tool that associates informative terms, called iTerms, and sentences containing them, with genes. To associate iTerms with a gene, eGIFT ranks iTerms about the gene, based on a score which compares the frequency of occurrence of a term in the gene's literature to its frequency of occurrence in documents about genes in general. To retrieve a gene's documents (Medline abstracts), eGIFT considers all gene names, aliases, and synonyms. Since many of the gene names can be ambiguous, eGIFT applies a disambiguation step to remove matches that do not correspond to this gene. Another additional filtering process is applied to retain those abstracts that focus on the gene rather than mention it in passing. eGIFT's information for a gene is pre-computed and users of eGIFT can search for genes by using a name or an EntrezGene identifier. iTerms are grouped into different categories to facilitate a quick inspection. eGIFT also links an iTerm to sentences mentioning the term to allow users to see the relation between the iTerm and the gene. We evaluated the precision and recall of eGIFT's iTerms for 40 genes; between 88% and 94% of the iTerms were marked as salient by our evaluators, and 94% of the UniProtKB keywords for these genes were also identified by eGIFT as iTerms. CONCLUSIONS: Our evaluations suggest that iTerms capture highly-relevant aspects of genes. Furthermore, by showing sentences containing these terms, eGIFT can provide a quick description of a specific gene. eGIFT helps not only life scientists survey results of high-throughput experiments, but also annotators to find articles describing gene aspects and functions. AU - Tudor, Catalina O. AU - Schmidt, Carl J. AU - Vijay-Shanker, K. DA - 2010 DO - 10.1186/1471-2105-11-418 DP - PubMed J2 - BMC Bioinformatics KW - Data Mining Genes Internet Periodicals as Topic Software Terminology as Topic LA - eng PY - 2010 SN - 1471-2105 SP - 418 ST - eGIFT T2 - BMC bioinformatics TI - eGIFT: mining gene information from the literature UR - http://www.ncbi.nlm.nih.gov/pubmed/20696046 VL - 11 ID - 442 ER - TY - JOUR AB - With the progress and development of science and technology, biomedical technology has been widely used in traditional Chinese medicine (TCM) research. However, TCM and Western medicine developed and came into being at different times and from different cultural backgrounds. Their targets are to study and explore the objective laws of human life activities from different angles and by different means. To study and evaluate TCM simply by the diagnosis and treatment standards of Western medicine cannot truly reflect the characteristics of TCM. Lots of clinical phenomena in the diagnosis and treatment in TCM cannot be revealed scientifically. It might be a significant pattern to combine the study of TCM with Western medicine, based on double-screening model of combining disease with syndrome types, following up evidence-based medical research steps, and making use of systematic review and data mining to analyze the inherent laws of TCM symptoms. AU - Xu, Ling AU - Jiao, Li-jing AU - Li, Chun-jie DA - 2010/05//undefined IS - 5 J2 - Zhong Xi Yi Jie He Xue Bao KW - Biomedical Research/*methods Evidence-Based Medicine Humans Medicine, Chinese Traditional/*methods LA - chi PY - 2010 SN - 1672-1977 1672-1977 SP - 401-405 ST - [Eight-step method in clinical research of traditional Chinese medicine] T2 - Zhong xi yi jie he xue bao = Journal of Chinese integrative medicine TI - [Eight-step method in clinical research of traditional Chinese medicine] VL - 8 ID - 356 ER - TY - JOUR AB - Cloud computing is now a well-consolidated paradigm for on-demand services provisioning on a pay-as-you-go model. Elasticity, one of the major benefits required for this computing model, is the ability to add and remove resources on the fly to handle the load variation. Although many works in literature have surveyed cloud computing and its features, there is a lack of a detailed analysis about elasticity for the cloud. As an attempt to fill this gap, we propose this survey on cloud computing elasticity based on an adaptation of a classic systematic review. We address different aspects of elasticity, such as definitions, metrics and tools for measuring, evaluation of the elasticity, and existing solutions. Finally, we present some open issues and future directions. To the best of our knowledge, this is the first study on cloud computing elasticity using a systematic review approach. 2014, Institut Mines-Telecom and Springer-Verlag France. AU - Coutinho, Emanuel Ferreira AU - de Carvalho Sousa, Flavio Rubens AU - Rego, Paulo Antonio Leal AU - Gomes, Danielo Goncalves AU - de Souza, Jose Neuman DA - 2015 DO - 10.1007/s12243-014-0450-7 IS - 7-8 J2 - Annales des Telecommunications/Annals of Telecommunications KW - cloud computing Distributed computer systems Elasticity Surveys N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 00034347 SP - 289-309 ST - Elasticity in cloud computing: a survey T2 - Annales des Telecommunications/Annals of Telecommunications TI - Elasticity in cloud computing: a survey UR - http://dx.doi.org/10.1007/s12243-014-0450-7 VL - 70 ID - 485 ER - TY - JOUR AB - Objectives Electric shocks have been suggested as a potential risk factor for neurological disease, in particular for amyotrophic lateral sclerosis. While actual exposure to shocks is difficult to measure, occurrence and variation of electric injuries could serve as an exposure proxy. We assessed risk of electric injury, using occupational accident registries across Europe to develop an electric shock job-exposure-matrix (JEM). Materials and methods Injury data were obtained from five European countries, and the number of workers per occupation and country from EUROSTAT was compiled at a 3-digit International Standard Classification of Occupations 1988 level. We pooled accident rates across countries with a random effects model and categorised jobs into low, medium and high risk based on the 75th and 90th percentile. We next compared our JEM to a JEM that classified extremely low frequency magnetic field exposure of jobs into low, medium and high. Results Of 116 job codes, occupations with high potential for electric injury exposure were electrical and electronic equipment mechanics and fitters, building frame workers and finishers, machinery mechanics and fitters, metal moulders and welders, assemblers, mining and construction labourers, metal-products machine operators, ships' decks crews and power production and related plant operators. Agreement between the electrical injury and magnetic field JEM was 67.2%. Conclusions Our JEM classifies occupational titles according to risk of electric injury as a proxy for occurrence of electric shocks. In addition to assessing risk potentially arising from electric shocks, this JEM might contribute to disentangling risks from electric injury from those of extremely low frequency magnetic field exposure. AU - Huss, Anke AU - Vermeulen, Roel AU - Bowman, Joseph D. AU - Kheifets, Leeka AU - Kromhout, Hans DA - 2013/04// DO - 10.1136/oemed-2012-100732 IS - 4 PY - 2013 SN - 1351-0711 SP - 261-267 ST - Electric shocks at work in Europe: development of a job exposure matrix T2 - Occupational and Environmental Medicine TI - Electric shocks at work in Europe: development of a job exposure matrix UR - http://oem.bmj.com/content/70/4/261.long VL - 70 ID - 2293 ER - TY - JOUR AB - Safety, performance and lifetime of LSB (lithium secondary batteries) are affected by the adhesion of the active material to the electrode substance, and to the electrode deformation and the spring back limit in the electrode manufacturing process. This study explores the optimization process using decision tree analysis, an ANN (artificial neural network), and a multi-objective genetic algorithm. In the electrode design optimization, the objectives are to maximize the adhesion and to minimize the electrode deformation subjected to the allowable limit on the spring-back. Experimental data for use in design analysis and optimization is obtained via a measurement test. The decision tree analysis is first performed to extract major, effective parameters sensitive to adhesion force, electrode deformation and spring-back. The ANN-based approximate meta-models are then established for function approximations. The ANN-based causality analysis is further explored to determine dominant design variables for each of three design requirements for the optimization. A multi-objective optimization is finally conducted using ANN-based approximate meta-models. An optimized solution obtained from the numerical optimization process is compared with experimental data to verify the actual performance of the LSB in terms of physical and electro-chemical properties. 2014 Elsevier Ltd. AU - Jeong, Dongho AU - Lee, Jongsoo DA - 2014 DO - 10.1016/j.energy.2014.08.013 J2 - Energy KW - Adhesion data mining decision trees deformation Design Electric batteries Electrodes Genetic algorithms Lithium Lithium batteries Multiobjective optimization Neural networks Secondary batteries Trees (mathematics) L1 - internal-pdf://1010764797/Jeong-2014-Electrode design optimization of li.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 03605442 SP - 525-533 ST - Electrode design optimization of lithium secondary batteries to enhance adhesion and deformation capabilities T2 - Energy TI - Electrode design optimization of lithium secondary batteries to enhance adhesion and deformation capabilities UR - http://dx.doi.org/10.1016/j.energy.2014.08.013 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0360544214009499/1-s2.0-S0360544214009499-main.pdf?_tid=8878a36c-833d-11e6-a1cc-00000aab0f02&acdnat=1474821278_ecfaa9de1e6304f64edf5beee5ee814f VL - 75 ID - 806 ER - TY - JOUR AB - Jadeitite is a rare constituent of serpentinite-matrix melange bodies from certain subduction complexes. Most jadeitite crystallizes from Na-, Al-, and Si-bearing fluids that are apparently derived from multiple subduction-zone sources. Even though jadeitite is near-end-member NaAlSi2O6 in major element composition and is volumetrically minor in subduction complexes, its trace elements and stable isotopes appear to record fluid compositions not directly seen in other subduction zone metasomatic systems. Prior to our work, how jadeitite-forming fluids interact with serpentinite host rocks and serpentinizing fluids were largely unknown, because serpentinite-to-jadeitite contacts are generally not exposed. In the Sierra de las Minas, Guatemala, we have studied a 3 m-wide pit transecting the contact between a mined-out jadeitite body and its host serpentinite. An apparent transition zone between the former jadeitite and nearby serpentinite exposed in the mine pit contains four texturally distinct rock types of differing outcrop colours, composed of albitites and meta-ultramafic rocks. (The jadeitite body is now represented only by a large spoil pile.) Seven samples from the contact zone, jadeitite from the spoil pile, a serpentinite outcrop approximately 1 m outside the pit, and a jadeitite nodule within the contact zone albitite were analysed for major, minor, and trace elements. Abundances of Al2O3, Na2O, MgO, FeO, Cr, Ni, and Sc track the contact between sheared albitite and foliated meta-ultramafic rocks. These elements change from values typical of Guatemalan jadeitites in the jadeitite block and albitites in the contact zone to values for Guatemalan meta-ultramafic rocks and serpentinites across the contact zone. In addition, the abundances of SiO2, CaO, Fe2O3, K2O, Rb, Cs, and Y show important features. Of greatest interest, perhaps, approximately 15 cm from the contact with meta-ultramafic rock, Zr, U, Hf, Pb, Ba, Sr, Y, and Cs in albitite are greatly enriched compared to elsewhere in the contact zone. Element enrichments spatially coincide with the appearance, increase in modal abundance, and/or increase in grain sizes of zircon, rare earth element (REE) rich epidote, titantite, and celsian within albitite. All of these 'trace-element-rich' accessory minerals show poikiloblastic inclusions of albite, which suggests that they grew concomitantly in the metasomatic zone. Graphical and computational methods of evaluating mass changes of metasomatites relative to likely protoliths show that, near the contact, fewer minor and trace elements in albitite show 1:1 coordination with presumed protoliths. Most metasomatitites are enriched in large-ion lithophile elements (LILE) and heat-producing elements (HPE) relative to likely protoliths. Albitite near the contact with meta-ultramafic rocks also shows ultramafic components. Except for a Ca-rich actinolite schist zone, the meta-ultramafic rocks are depleted in LILE and HPE relative to serpentinite; host serpentinite is itself under-abundant in these elements relative to average upper mantle or chondrite. In summary, the metasomatic zone shows more evidence for the introduction of components to albitite and actinolitic meta-ultramafic rock than it does for exchange of protolith components between jadeitite and serpentinite. The fluid that presumably formed the metasomatites was sufficiently rich in LILE and high-field-strength elements (HFSE) to both saturate and grow minerals in which Zr, Ba, and Ti are essential structural constituents and/or HFSE, LILE, and HPE minor to moderate substitunts. These geochemically diverse element groups were fixed in albitite via the crystallization and growth of new accessory minerals within these rocks during albititization. The amount of LILE and HPE-depleted meta-ultramafic rock appears to be too small to call upon a local source for the LILE and HPE-enrichment seen in albitites. Therefore, LILE and HPE must be of exotic origin, carried and deposited by fluids within the albitites at the jadeitite-serpentinite contact. This contact c early testifies to an alteration style that involved crystallization of 'trace-element'-rich minerals during fluid flow; this process appears to be essential to mass transfer within subduction zones. AU - Sorensen, Sorena S. AU - Sisson, Virginia B. AU - Harlow, George E. AU - Lallemantd, Hans G. Ave DA - 2010 DO - 10.1080/00206810903211963 IS - 9 PY - 2010 SN - 0020-6814 SP - 899-940 ST - Element residence and transport during subduction-zone metasomatism: evidence from a jadeitite-serpentinite contact, Guatemala T2 - International Geology Review TI - Element residence and transport during subduction-zone metasomatism: evidence from a jadeitite-serpentinite contact, Guatemala VL - 52 ID - 2268 ER - TY - JOUR AU - Van Noorden, Richard DA - 2014/02/03/ DO - 10.1038/506017a DP - CrossRef IS - 7486 PY - 2014 SN - 0028-0836, 1476-4687 SP - 17-17 ST - Elsevier opens its papers to text-mining T2 - Nature TI - Elsevier opens its papers to text-mining UR - http://www.nature.com/doifinder/10.1038/506017a VL - 506 Y2 - 2016/09/24/20:59:03 ID - 2519 ER - TY - JOUR AB - BACKGROUND: Glioblastoma multiforme (GBM), a high-grade glioma, is characterized by being diffuse, invasive, and highly angiogenic and has a very poor prognosis. Identification of new biomarkers could help in the further diagnosis of GBM. OBJECTIVE: To identify ELTD1 (epidermal growth factor, latrophilin, and 7 transmembrane domain-containing protein 1 on chromosome 1) as a putative glioma-associated marker via a bioinformatic method. METHODS: We used advanced data mining and a novel bioinformatics method to predict ELTD1 as a potential novel biomarker that is associated with gliomas. Validation was done with immunohistochemistry, which was used to detect levels of ELTD1 in human high-grade gliomas and rat F98 glioma tumors. In vivo levels of ELTD1 in rat F98 gliomas were assessed using molecular magnetic resonance imaging. RESULTS: ELTD1 was found to be significantly higher (P = .03) in high-grade gliomas (50 patients) compared with low-grade gliomas (21 patients) and compared well with traditional immunohistochemistry markers including vascular endothelial growth factor, glucose transporter 1, carbonic anhydrase IX, and hypoxia-inducible factor 1 alpha. ELTD1 gene expression indicates an association with grade, survival across grade, and an increase in the mesenchymal subtype. Significantly high (P < .001) in vivo levels of ELTD1 were additionally found in F98 tumors compared with normal brain tissue. CONCLUSION: Results of this study strongly suggests that associative analysis was able to accurately identify ELTD1 as a putative glioma-associated biomarker. The detection of ELTD1 was also validated in both rodent and human gliomas and may serve as an additional biomarker for gliomas in preclinical and clinical diagnosis of gliomas. AU - Towner, Rheal A. AU - Jensen, Randy L. AU - Colman, Howard AU - Vaillant, Brian AU - Smith, Nataliya AU - Casteel, Rebba AU - Saunders, Debra AU - Gillespie, David L. AU - Silasi-Mansat, Robert AU - Lupu, Florea AU - Giles, Cory B. AU - Wren, Jonathan D. DA - 2013/01// DO - 10.1227/NEU.0b013e318276b29d IS - 1 PY - 2013 SN - 0148-396X SP - 77-90 ST - ELTD1, a Potential New Biomarker for Gliomas T2 - Neurosurgery TI - ELTD1, a Potential New Biomarker for Gliomas VL - 72 ID - 2191 ER - TY - JOUR AU - Cormack, Gordon V. DA - 2007 DP - Google Scholar IS - 4 L1 - https://wiki.eecs.yorku.ca/course_archive/2012-13/F/6328/_media/spam-filtering.pdf PY - 2007 SP - 335-455 ST - Email spam filtering T2 - Foundations and Trends in Information Retrieval TI - Email spam filtering: A systematic review UR - http://dl.acm.org/citation.cfm?id=1454708 VL - 1 Y2 - 2016/09/24/15:32:42 ID - 2309 ER - TY - CONF AB - In French legal framework, Mayors must alert population on their territory about threats and dangerous events such as natural, technological and transport risks. Mayors should inform and ensure population safety. Since 2004 Safeguard Plan (Plan Communal de Sauvegarde) has to be set up by Town Administration, where threats on territory are indexed and the way to handle them are described. Safeguard Plan is an organizational decision making tool. A safeguard plan is a particular Emergency Response Plan (ERP) owned by Local Emergency Response Plan (LERP) category. This work deals with organizational plan evaluation in which population safety is at stakes. Local Emergency Response Plan assessment stand up to following questions: -?Do human and technical resources are available, good enough and correctly quantified? -?Does planned answer is appropriated? -?Do protagonists are able to give an answer with the current means and information? Previous work (Karagiannis et al. 2010) deal with robustness assessment of industrial response plan and proposed a method to assess probability of failure in the Safeguard Plan. But this method does not allow verifying that the proposed overall plan matches its purpose. Based on a modeling method, this assessment is possible via model-based analysis. This paper will present a new application of modeling method used for industrial plan to safeguard plan to answer previous questions. It is proposed a systematic approach to analyze LERP based on a meta-model with taxonomy of elements engaged in the plan. This meta-model is applicable for every town needing a safeguard plan. With the meta-model structure for LERP, it is possible to visualize all interactions between model elements and to analyze the realization of the plan. The described approach takes into account dysfunctioning modes in combination to functional behavior to verify the adequacy of the plan. To do that, six indicators describing the plan resources state have been identified for each element of the Safeguard Plan: Availability, Capacity, Autonomy, Adequacy, Quality and Set up. These elementary indicators are structured by adapted Fault Trees to follow the plan development. 2014 Taylor Francis Group, London. AU - Girard, C. AU - Piatyszek, E. AU - David, P. AU - Flaus, J. M. C3 - European Safety and Reliability Conference, ESREL 2013, September 29, 2013 - October 2, 2013 DA - 2014 KW - Emergency services Mathematical models reliability N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Taylor & Francis - Balkema PY - 2014 SP - 2381-2388 ST - Emergency plans modeling: Toward an assessment tool T3 - Safety, Reliability and Risk Analysis: Beyond the Horizon - Proceedings of the European Safety and Reliability Conference, ESREL 2013 TI - Emergency plans modeling: Toward an assessment tool ID - 574 ER - TY - JOUR AB - In recent years, Text Mining has seen a tremendous spurt of growth as data scientists focus their attention on analyzing unstructured data. The main drivers for this growth have been big data as well as complex applications where the information in the text is often combined with other kinds of information in building predictive models. These applications require highly efficient and scalable algorithms to meet the overall performance demands. In this context, six main directions are identified where research in text mining is heading: Deep Learning, Topic Models, Graphical Modeling, Summarization, Sentiment Analysis, Learning from Unlabeled Text. Each direction has its own motivations and goals. There is some overlap of concepts because of the common themes of text and prediction. The predictive models involved are typically ones that involve meta-information or tags that could be added to the text. These tags can then be used in other text processing tasks such as information extraction. While the boundary between the fields of Text Mining and Natural Language Processing is becoming increasingly blurry, the importance of predictive models for various applications involving text means there is still substantial growth potential within the traditional sub-fields of text mining. These data-centric directions are also likely to influence future research in Natural Language Processing, especially in resource-poor languages and in multilingual texts. 2015 John Wiley & Sons, Ltd. AU - Indurkhya, Nitin DA - 2015 DO - 10.1002/widm.1154 IS - 4 J2 - Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery KW - Big data Computational linguistics data mining Natural language processing systems Text processing L1 - internal-pdf://0309766496/Indurkhya-2015-Emerging directions in predicti.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 19424787 SP - 155-164 ST - Emerging directions in predictive text mining T2 - Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery TI - Emerging directions in predictive text mining UR - http://dx.doi.org/10.1002/widm.1154 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/widm.1154/asset/widm1154.pdf?v=1&t=ititvt0x&s=f083bb947efff941ae43ffda9d138ca33e5d2151 VL - 5 ID - 1577 ER - TY - CONF AB - We designed a system that track the changes to a particular area of a user's interests on the World Wide Web and to generate a summary of emerging topics back to the user. This system consists of three main components, which are the Area View System, the Web Spider and the Summary Generator. The Area View System, as a meta-search engine, directs the user's keywords to a commercial search engine, obtains the hits, performs further analysis and derives a number of most relevant domain sites. Then, the Web Spider dispatches and scans all these domains at a certain time interval to collect all the modified and newly added HTML pages. Lastly, the Summary Generator extracts all the newly added sentences or changes from the collected HTML pages and then counts the term weights in the changes by adapting a newly innovated algorithm called TFPDF (Term Frequency Proportional Document Frequency). The terms that deem to explain the emerging topic are heavily weighted. The sentences with the highest average weight are extracted to form a summary of emerging topics. We refer to our system as the Emerging Topic Tracking System (ETTS). 2001 IEEE. AU - Bun, Khoo Khyou AU - Ishizuka, M. C3 - 3rd International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems, WECWIS 2001, June 21, 2001 - June 22, 2001 DA - 2001 DO - 10.1109/WECWIS.2001.933900 KW - Commerce data mining Electronic commerce Html Information analysis information retrieval systems Information systems Search Engines Text processing Tracking (position) Websites World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2001 SP - 2-11 ST - Emerging Topic Tracking System T3 - Proceedings - 3rd International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems, WECWIS 2001 TI - Emerging Topic Tracking System UR - http://dx.doi.org/10.1109/WECWIS.2001.933900 ID - 1082 ER - TY - CONF AB - Authorship attribution (AA) has been studied by many researchers. Recently, with the widespread of online texts, authorship attribution of online texts starts to receive a great deal of attentions. The essence of this problem is to identify a set of features that can capture the writing styles of an author. However, previous studies on feature identification mainly used statistical methods and conducted out experiments on small data sets, i.e., less than 10. This scale is distance from the real application of AA of online texts. In addition, due to the special characteristics of online texts, statistical approaches are rarely used for this problem. As the the performance of authorship identification depends highly on the the combination of the features used and classification methods, the feature sets for traditional authorship attribution needs to be re-examined using machine learning approaches. In this paper, we evaluate the effectiveness of six types of meta features on two public data sets with SVM, a well established machine learning technique. The experimental results show that lexical and syntactic features are the most promising features for AA of online texts. Furthermore, a number of interesting findings regarding the impacts of different types of features on authorship attribution are discovered through our experiments. AU - Hongwei, Yao AU - Tieyun, Qian AU - Li, Chen AU - Manyun, Qian AU - Xueyu, Mo C3 - Mining Intelligence and Knowledge Exploration. First International Conference, MIKE 2013, 18-20 Dec. 2013 DA - 2013 DO - 10.1007/978-3-319-03844-5_4 KW - learning (artificial intelligence) pattern classification Support Vector Machines text analysis PB - Springer International Publishing PY - 2013 SP - 28-37 ST - An Empirical Evaluation of SVM on Meta Features for Authorship Attribution of Online Texts T3 - Mining Intelligence and Knowledge Exploration. First International Conference, MIKE 2013. Proceedings: LNCS 8284 TI - An Empirical Evaluation of SVM on Meta Features for Authorship Attribution of Online Texts UR - http://dx.doi.org/10.1007/978-3-319-03844-5_4 ID - 1472 ER - TY - CONF AB - According to acquiring data from the meta-search engine and getting information in specific websites, the author proposes an extraction model based on Web information which is used to construct network relationships of the subject based on its semantic link. Then based on the proposed model above, the author does content mining and semantic analysis on the Web data of five big cities (Beijing, Shanghai, Wuhan, Guangzhou, and Chengdu) with the help of self-made ROST Content Mining System, to get first 30 high-frequency e-government words respectively, and takes Shanghai for specific analysis; Meanwhile, the author, using ROST WebSpider to collect the web page from level 1 to 3 of governments' websites in Beijing, Shanghai, Wuhan, Guangzhou and Chengdu, constructs the evaluation model SCISS to do comparative analysis on the development of the five metropolis' e-government. Finally, the author comes up with some countermeasures, aiming to provide advice for the development of e-government in china, according to the empirical analysis. AU - Yang, Shen AU - Zitao, Liu AU - Shaoji, Luo AU - Huijuan, Fu AU - Ye, Li C3 - 2009 International Conference on Management of e-Commerce and e-Government (ICMECG), 16-19 Sept. 2009 DA - 2009 DO - 10.1109/ICMeCG.2009.48 KW - Electronic commerce government data processing information retrieval Search Engines Web sites PB - IEEE PY - 2009 SP - 91-4 ST - Empirical research on e-government based on content mining T3 - 2009 International Conference on Management of e-Commerce and e-Government (ICMECG) TI - Empirical research on e-government based on content mining UR - http://dx.doi.org/10.1109/ICMeCG.2009.48 ID - 1391 ER - TY - CONF AB - Computer musicians are a community of end-user programmers who often use visual programming languages such as Max/MSP or Pure Data to realize their musical compositions. This research study conducts a multifaceted analysis of the software development practices of computer musicians when programming in these visual music-oriented languages. A statistical analysis of project metadata harvested from software repositories hosted on GitHub reveals that in comparison to the general population of software developers, computer musicians' repositories have less commits, less frequent commits, more commits on weekends, yet similar numbers of bug reports and similar numbers of contributing authors. Analysis of source code in these repositories reveals that the vast majority of code can be reconstructed from duplicate fragments. Finally, these results are corroborated by a survey of computer musicians and interviews with individuals in this end-user community. Based on this analysis and feedback from computer musicians we find that there are many avenues where software engineering can be applied to help aid this community of end-user programmers. AU - Burlet, G. AU - Hindle, A. C3 - 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), 16-17 May 2015 DA - 2015 DO - 10.1109/MSR.2015.34 KW - meta data music personal computing Program debugging source code (software) statistical analysis visual languages PB - IEEE PY - 2015 SP - 292-302 ST - An empirical study of end-user programmers in the computer music community T3 - 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR) TI - An empirical study of end-user programmers in the computer music community UR - http://dx.doi.org/10.1109/MSR.2015.34 ID - 792 ER - TY - CONF AB - In this paper we present the application of the inductive database approach to two practical analytical case studies: Web usage mining in Web logs and financial data. As far as concerns the Web domain, we have considered the enriched XML Web logs, that we call conceptual logs, produced by specific Web applications. These ones have been built by using a conceptual model, namely WebML, and its accompanying CASE tool, WebRatio. The Web conceptual logs integrate the usual information about user requests with meta-data concerning the Web site structure. As far as concerns the analysis of financial data, we have considered the trade stock exchange index Dow Jones and studied its component stocks from 1997 to 2002 using the so-called technical analysis. Technical analysis consists in the identification of the relevant (graphical) patterns that occur in the plot of evolution of a stock quote as time proceeds, often adopting different time granularities. On the plots the correlations between distinctive variables of the stocks quote are pointed out, such as the quote trend, the percentage variation and the volume of the stocks exchanged. In particular we adopted candle-sticks, a figurative pattern representing in a condensed diagram the evolution of the stock quotes in a daily stock exchange. In technical analysis, candle-sticks have been frequently used by practitioners to predict the trend of the stocks quotes in the market. We then apply a data mining language, namely MINE RULE, to these data in order to identify different types of patterns. As far as Web data is concerned, recurrent navigation paths, page contents most frequently visited, and anomalies such as intrusion attempts or a harmful usage of the resources are among the most important patterns. As far as concerns the financial domain, we searched for the sets of stocks which frequently exhibited a positive daily exchange in the same days, so as to constitute a collection of quotes for the constitution of the customers' portfolio, or the candle-sticks frequently associated to certain stocks, or finally the most similar stocks, in the sense that they mostly presented in the same dates the same typology of candle-stick, that is the same behaviour in time. The purpose of this paper is to show that the exploitation of the nuggets of information embedded in the data and of the specialised mining constructs provided by the query languages, enables the rapid customization of the mining procedures following to the users' need. Given our experience, we also claim that the use of queries in advanced languages, as opposed to ad-hoc heuristics, eases the specification and the discovery of a large spectrum of patterns. Springer-Verlag Berlin Heidelberg 2005. AU - Meo, Rosa AU - Lanzi, Pier Luca AU - Matera, Maristella AU - Careggio, Danilo AU - Esposito, Roberto C3 - European Workshop on Inductive Databases and Constraint Based Mining, March 11, 2004 - March 13, 2004 DA - 2006 DO - 10.1007/11615576_14 KW - Computer aided software engineering Database systems data mining Metadata World Wide Web XML N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2006 SN - 03029743 SP - 295-327 ST - Employing inductive database in concrete applications T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Employing inductive database in concrete applications UR - http://dx.doi.org/10.1007/11615576_14 VL - 3848 LNAI ID - 967 ER - TY - JOUR AB - Genetic association studies have rapidly become a major tool for identifying the genetic basis of common human diseases. The advent of cost-effective genotyping coupled with large collections of samples linked to clinical outcomes and quantitative traits now make it possible to systematically characterize genotype-phenotype relationships in diverse populations and extensive datasets. To capitalize on these advancements, the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) project, as part of the collaborative Population Architecture using Genomics and Epidemiology (PAGE) study, accesses two collections: the National Health and Nutrition Examination Surveys (NHANES) and BioVU, Vanderbilt University's biorepository linked to de-identified electronic medical records. We describe herein the workflows for accessing and using the epidemiologic (NHANES) and clinical (BioVU) collections, where each workflow has been customized to reflect the content and data access limitations of each respective source. We also describe the process by which these data are generated, standardized, and shared for meta-analysis among the PAGE study sites. As a specific example of the use of BioVU, we describe the data mining efforts to define cases and controls for genetic association studies of common cancers in PAGE. Collectively, the efforts described here are a generalized outline for many of the successful approaches that can be used in the era of high-throughput genotype-phenotype associations for moving biomedical discovery forward to new frontiers of data generation and analysis. AU - Bush, William S. AU - Boston, Jonathan AU - Pendergrass, Sarah A. AU - Dumitrescu, Logan AU - Goodloe, Robert AU - Brown-Gentry, Kristin AU - Wilson, Sarah AU - McClellan, Bob AU - Torstenson, Eric AU - Basford, Melissa A. AU - Spencer, Kylee L. AU - Ritchie, Marylyn D. AU - Crawford, Dana C. DA - 2013 J2 - Pac Symp Biocomput KW - *Gene-Environment Interaction Computational Biology Databases, Nucleic Acid/statistics & numerical data Genetic Association Studies/*statistics & numerical data Genetics, Population/statistics & numerical data High-Throughput Screening Assays/statistics & numerical data Humans Linear Models Neoplasms/genetics Nutrition Surveys/statistics & numerical data Polymorphism, Single Nucleotide Registries/statistics & numerical data LA - eng PY - 2013 SN - 2335-6936 SP - 373-384 ST - Enabling high-throughput genotype-phenotype associations in the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) project as part of the Population Architecture using Genomics and Epidemiology (PAGE) study T2 - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing TI - Enabling high-throughput genotype-phenotype associations in the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) project as part of the Population Architecture using Genomics and Epidemiology (PAGE) study ID - 251 ER - TY - CONF AB - Media production workflows become increasingly distributed and heterogeneous, requiring the use of multilingual content from networked media repositories. Many tasks of professionals in media production can be efficiently supported by automatic content analysis (e.g., speech recognition, quality analysis, action detection) and advanced semantic search and retrieval services. We present a system developed in the TOSCA-MP project, based on these technologies that enables a powerful semantic search retrieval of audiovisual content. The system executes media analysis workflows using a flexible framework designed as a service oriented architecture. The TOSCA-MP architecture includes a task adaptive service orchestration based on business processes which handles automatic metadata extraction services with optional manual verification. The system also supports distributed heterogeneous repositories. We will briefly introduce these components. Finally, the system enables powerful new semantic search visualization techniques, for which a dedicated semantic search engine has been created. We describe in detail the semantic search engine including its novel ways of content visualization and navigation. We also show how the TOSCA-MP architecture efficiently supports these user interfaces. Further, we discuss the feedback received by professional users who have successfully tested the system during evaluation workshops. AU - Matton, M. AU - Bailer, W. AU - Elser, M. AU - Evain, J. P. AU - Glaeser, F. AU - Messina, A. AU - Mies, R. AU - Negro, F. AU - Ruiz, C. C3 - International Broadcasting Convention (IBC) 2014 Conference, 11-15 Sept. 2014 DA - 2014 KW - business data processing data visualisation meta data query processing service-oriented architecture PB - IET on behalf of IBC PY - 2014 SP - 13-2 ST - Enabling semantic search retrieval with business-driven automated information extraction T3 - International Broadcasting Convention (IBC) 2014 Conference TI - Enabling semantic search retrieval with business-driven automated information extraction ID - 1314 ER - TY - JOUR AB - AIM: To investigate potential therapeutic recommendations for endoscopic and surgical resection of T1a/T1b esophageal neoplasms. METHODS: A thorough search of electronic databases MEDLINE, Embase, Pubmed and Cochrane Library, from 1997 up to January 2011 was performed. An analysis was carried out, pooling the effects of outcomes of 4241 patients enrolled in 80 retrospective studies. For comparisons across studies, each reporting on only one endoscopic method, we used a random effects meta-regression of the log-odds of the outcome of treatment in each study. "Neural networks" as a data mining technique was employed in order to establish a prediction model of lymph node status in superficial submucosal esophageal carcinoma. Another data mining technique, the "feature selection and root cause analysis", was used to identify the most important predictors of local recurrence and metachronous cancer development in endoscopically resected patients, and lymph node positivity in squamous carcinoma (SCC) and adenocarcinoma (ADC) separately in surgically resected patients. RESULTS: Endoscopically resected patients: Low grade dysplasia was observed in 4% of patients, high grade dysplasia in 14.6%, carcinoma in situ in 19%, mucosal cancer in 54%, and submucosal cancer in 16% of patients. There were no significant differences between endoscopic mucosal resection and endoscopic submucosal dissection (ESD) for the following parameters: complications, patients submitted to surgery, positive margins, lymph node positivity, local recurrence and metachronous cancer. With regard to piecemeal resection, ESD performed better since the number of cases was significantly less [coefficient: -7.709438, 95%CI: (-11.03803, -4.380844), P < 0.001]; hence local recurrence rates were significantly lower [coefficient: -4.033528, 95%CI: (-6.151498, -1.915559), P < 0.01]. A higher rate of esophageal stenosis was observed following ESD [coefficient: 7.322266, 95%CI: (3.810146, 10.83439), P < 0.001]. A significantly greater number of SCC patients were submitted to surgery (log-odds, ADC: -2.1206 +/- 0.6249 vs SCC: 4.1356 +/- 0.4038, P < 0.05). The odds for re-classification of tumor stage after endoscopic resection were 53% and 39% for ADC and SCC, respectively. Local tumor recurrence was best predicted by grade 3 differentiation and piecemeal resection, metachronous cancer development by the carcinoma in situ component, and lymph node positivity by lymphovascular invasion. With regard to surgically resected patients: Significant differences in patients with positive lymph nodes were observed between ADC and SCC [coefficient: 1.889569, 95%CI: (0.3945146, 3.384624), P < 0.01). In contrast, lymphovascular and microvascular invasion and grade 3 patients between histologic types were comparable, the respective rank order of the predictors of lymph node positivity was: Grade 3, lymphovascular invasion (L+), microvascular invasion (V+), submucosal (Sm) 3 invasion, Sm2 invasion and Sm1 invasion. Histologic type (ADC/SCC) was not included in the model. The best predictors for SCC lymph node positivity were Sm3 invasion and (V+). For ADC, the most important predictor was (L+). CONCLUSION: Local tumor recurrence is predicted by grade 3, metachronous cancer by the carcinoma in-situ component, and lymph node positivity by L+. T1b cancer should be treated with surgical resection. AU - Sgourakis, George AU - Gockel, Ines AU - Lang, Hauke DA - 2013/03/07/ DO - 10.3748/wjg.v19.i9.1424 IS - 9 J2 - World J Gastroenterol KW - *Esophagoscopy/adverse effects Adenocarcinoma Carcinoma/secondary/*surgery Controversies in treatment Deep third submucosal layer Dysplasia Endoscopic gastrointestinal surgery Endoscopic gastrointestinal surgical procedures Endoscopic resection Esophageal cancer Esophageal Neoplasms/pathology/*surgery Esophagectomy/adverse effects/*methods Humans Lymphatic invasion Lymphatic Metastasis Lymph node dissection Middle third submucosal layer Mucosal infiltration Neoplasm Grading Neoplasm Invasiveness Neoplasm Recurrence, Local Neoplasm Staging Odds Ratio Patient Selection Recurrent tumor Risk Assessment Risk Factors Squamous cell carcinoma Submucosal involvement Submucosal layer Superficial esophageal cancer Superficial submucosal layer Treatment Outcome Vascular invasion LA - eng PY - 2013 SN - 2219-2840 1007-9327 SP - 1424-1437 ST - Endoscopic and surgical resection of T1a/T1b esophageal neoplasms: a systematic review T2 - World journal of gastroenterology TI - Endoscopic and surgical resection of T1a/T1b esophageal neoplasms: a systematic review VL - 19 ID - 114 ER - TY - JOUR AB - INTRODUCTION AND AIMS: Erectile dysfunction (ED) is a frequent disorder in men and has a serious impact on the quality of the patient's life. Recent studies have examined the relationship between endothelial nitric oxide synthase (eNOS) polymorphisms and ED. However, the results remain inconclusive. The present study aimed to offer an actual view of estimating the correlation between eNOS polymorphisms and ED. METHODS: We performed a meta-analysis to estimate the association between eNOS polymorphisms and ED risk. Databases employed for data mining until December 1, 2014 included PubMed, Web of Science, and the Chinese National Knowledge Infrastructure. Two study investigators independently conducted a literature search and data extraction. Odds ratios (ORs) with 95% confidence intervals for the risk were calculated by using a random effects model or fixed effects model. RESULTS: A total of 20 studies in 13 publications increased ED risk in allele contrast, dominant, heterozygote, and homozygote models (allele contrast: OR = 1.514, 95% confidence interval were included in the meta-analysis. In the overall comparison, the eNOS G984T polymorphism was associated with an [CI]: 1.019-2.248). For 4 VNTR polymorphisms, the overall analysis showed a significant association between homozygote comparison and recessive genetic model (homozygote comparison: OR = 1.917, CI: 1.073-3.424). The eNOS T786C polymorphism increased ED risk in allele contrast, homozygote, and recessive models (allele contrast: OR = 1.588, CI: 1.316-1.915). Significant heterogeneity was mainly observed in studies on the G894T polymorphism. No publication bias was detected in all of the variants. CONCLUSION: The eNOS polymorphisms G894T, 4 VNTR, and T786C were associated with an increased risk for ED. However, these results are still preliminary. Further studies based on different confounders and using a large population size should be conducted to generate more accurate and reliable conclusions. AU - Liu, Chunhui AU - Lu, Kai AU - Tao, Tao AU - Zhang, Lei AU - Zhang, Xiaowen AU - Jiang, Liang AU - Huang, Yeqing AU - Guan, Han AU - Chen, Ming AU - Xu, Bin DA - 2015/06//undefined DO - 10.1111/jsm.12896 IS - 6 J2 - J Sex Med KW - Alleles Asian Continental Ancestry Group eNOS Erectile Dysfunction Erectile Dysfunction/genetics/metabolism/*physiopathology Genetic Predisposition to Disease Humans Male Meta-analysis Nitric Oxide Synthase Type III/*genetics/metabolism Odds Ratio Polymorphism Polymorphism, Genetic Risk LA - eng PY - 2015 SN - 1743-6109 1743-6095 SP - 1319-1328 ST - Endothelial nitric oxide synthase polymorphisms and erectile dysfunction: a meta-analysis T2 - The journal of sexual medicine TI - Endothelial nitric oxide synthase polymorphisms and erectile dysfunction: a meta-analysis UR - http://onlinelibrary.wiley.com/doi/10.1111/jsm.12896/abstract VL - 12 ID - 34 ER - TY - CONF AB - This paper presents the design of a prototype peer-to-peer collaboratory for imaging, analyzing, and seamlessly sharing tissue microarrays (TMA), correlated clinical data, and experimental results across a consortium of distributed clinical and research sites. The overarching goal of this project is to facilitate cooperative oncology research aimed at improved understanding of the underlying mechanisms of disease onset and progression while simultaneously providing new insight into therapy planning and treatment. Key components of the collaboratory include a specification of metadata schematics for characterizing TMA specimens and abstracting their interpretations, an framework for automated and accurate analysis of digitized TMAs and a peer-to-peer infrastructure for indexing and discovery of TMA data and metadata, and a novel, optimized decentralized search engine that supports flexible querying with search guarantees and bounded costs. Prototype implementations of the automated TMA analysis component and the storage/discovery component and their evaluations are presented. AU - Schmidt, C. AU - Parashar, M. C3 - Proceedings of the Second International Workshop on Challenges of Large Applications in Distributed Environments, 7 June 2004 DA - 2004 KW - biological tissues biomedical imaging data mining medical computing meta data peer-to-peer computing Search Engines visual databases PB - IEEE Comput. Soc. PY - 2004 SP - 64-73 ST - Engineering a peer-to-peer collaboratory for tissue microarray research T3 - Proceedings of the Second International Workshop on Challenges of Large Applications in Distributed Environments TI - Engineering a peer-to-peer collaboratory for tissue microarray research ID - 1031 ER - TY - CHAP A2 - Orngreen, R. A2 - Levinsen, K. T. AB - The unprecedented growth of technology in all areas of education and industry has greatly impacted the language learning environment, especially via social networking sites (SNSs). Furthermore, judging from the demographic details of account holders, younger and younger people are getting tech-savvy and jumping onto the social media bandwagon. It is therefore interesting to study how learners use language to communicate. A review of literature shows that several factors are associated with language learning trends: motivation, learning environment and imitation. This paper presents a quantitative study conducted on 236 respondents from private universities in two states in Malaysia. The study aims to assess the influence of the language used in SNSs in students' everyday language usage, taking into consideration their various levels of English proficiency. The survey questions helped identify linguistic features such as the frequency of code switching, eccentric spelling and leet, which expanded the research base. Amazingly, although typed communication is becoming 'shorter' through the use of acronyms and abbreviations, these young users are totally familiar with the graphic symbols and other abbreviations used in such typed communication. That the majority of respondents were from the Chinese ethnic group added to the fact that mother tongue use also played a part in affecting their proficiency in the English Language. The questionnaires were analyzed via the descriptive statistical method. The data obtained showed the heavy usage of short messaging texts by almost all respondents who own a mobile device. The text discourses were then analyzed to authenticate research findings as well. In the final analysis, it was found that the constant and frequent use of short messaging did not profoundly affect the participants' English language proficiency. Due to the requirements of the universities' examination papers, it was found that participants consciously avoided language used on SNSs for their written examination papers. The explosion in SNSs has actually given rise to a generation of super-fast fingertapping youngsters who, more often than not, are creating their own meta language, which for this research is an exciting opportunity to explore the implications and far-reaching consequences on their English language execution. This mediumscale survey was conducted at two major locations as a prelude to greater mining of data and an even bigger research opportunity. In Malaysia, where the student generation is lapping up SNSs and mobile phone apps such as Whatsapp, Viber, Hangouts, Line, WeChat and Tango, this research is beneficial as a starting point for research on the 'evolution' of the English language in these areas and the extent to which the influence might foster or stunt proficiency in the language. This can potentially also facilitate the comparative analysis of how the English lingo of students from metropolitan and cosmopolitan or rural and urban areas is controlled by their engagement in SNSs. The results of the present study will definitely enrich the corpus of work conducted on the influence of language of social media and encourage further detailed research in this area. AU - Thurairaj, Saraswathy AU - Hoon, Er Pek AU - Roy, Swagata Sinha AU - Fong, Pok Wei PY - 2014 SN - 978-1-910309-69-8 SP - 545-554 ST - English Language Usage in SNS and Mobile Phones: A Bane or Boon? T2 - Proceedings of the 13th European Conference on E-Learning (ecel 2014) TI - English Language Usage in SNS and Mobile Phones: A Bane or Boon? ID - 2303 ER - TY - CONF AB - On-line analytical processing (OLAP) provides tools to explore and navigate into data cubes in order to extract interesting information. Nevertheless, OLAP is not capable of explaining relationships that could exist in a data cube. Association rules are one kind of data mining techniques which finds associations among data. In this paper, we propose a framework for mining inter-dimensional association rules from data cubes according to a sum-based aggregate measure more general than simple frequencies provided by the traditional COUNT measure. Our mining process is guided by a meta-rule context driven by analysis objectives and exploits aggregate measures to revisit the definition of support and confidence. We also evaluate the interestingness of mined association rules according to Lift and Loevinger criteria and propose an efficient algorithm for mining inter-dimensional association rules directly from a multidimensional data. Copyright 2006 ACM. AU - Messaoud, Riadh Ben AU - Rabaseda, Sabine Loudcher AU - Boussaid, Omar AU - Missaoui, Rokia C3 - 9th ACM International Workshop on Data Warehousing and OLAP - DOLAP'06, held in conjunction with the ACM 15th Conference on Information and Knowledge Management, CIKM 2006, November 10, 2006 - November 10, 2006 DA - 2006 DO - 10.1145/1183512.1183517 KW - Algorithms Association rules Database systems data mining Natural frequencies N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2006 SP - 11-18 ST - Enhanced mining of association rules from data cubes T3 - DOLAP: Proceedings of the ACM International Workshop on Data Warehousing and OLAP TI - Enhanced mining of association rules from data cubes UR - http://dx.doi.org/10.1145/1183512.1183517 ID - 1512 ER - TY - CONF AB - The Mussels Wandering Optimization (MWO) algorithm is a novel meta-heuristic optimization algorithm inspired ecologically by mussels movement behavior. The MWO algorithm has been used to solve linear and nonlinear functions and it has been adapted in supervised training of Artificial Neural Networks (ANN). Based on the latter application, the classification accuracy of ANN based on MWO training was on par with other algorithms. This paper proposes an enhanced version of MWO algorithm; namely Enhanced-MWO (E-MWO) in order to achieve an improved classification accuracy of ANN. In addition, this paper discusses and analyses the MWO and the effect of MWO parameters selection (especially, the shape parameter) on ANN classification accuracy. The E-MWO algorithm is adapted in training ANN and tested using well-known benchmarking problems and compared against other algorithms. The obtained results indicate that the E-MWO algorithm is a competitive alternative to other evolutionary and gradient-descent based training algorithms in terms of classification accuracy and training time. Springer International Publishing Switzerland 2014. AU - Abusnaina, Ahmed A. AU - Abdullah, Rosni AU - Kattan, Ali C3 - 1st International Conference on Soft Computing and Data Mining, SCDM 2014, June 16, 2014 - June 18, 2014 DA - 2014 DO - 10.1007/978-3-319-07692-8_18 KW - data mining Evolutionary algorithms Heuristic algorithms Molluscs Neural networks Optimization Pattern recognition Soft computing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2014 SN - 21945357 SP - 183-194 ST - Enhanced MWO training algorithm to improve classification accuracy of artificial neural networks T3 - Advances in Intelligent Systems and Computing TI - Enhanced MWO training algorithm to improve classification accuracy of artificial neural networks UR - http://dx.doi.org/10.1007/978-3-319-07692-8_18 VL - 287 ID - 1058 ER - TY - JOUR AB - Recently, information is being used to enhance supporting technologies in conference management systems, which greatly improves the efficiency of conference organizing affairs and promotes extensive communication and cooperation between researchers. The on-line conferencing ba (OLCB) serves as a conference management system and provides an environment for knowledge creation. CorMap analysis is a technique for qualitative meta-synthesis, which can carry out series mining from qualitative data. The early OLCB system pushes the visualized results of CorMap analysis to users by images. In this paper, the authors introduce an interactive CorMap analysis to enhance the OLCB system, which enables users to conduct the conference mining process directly and acquire more clear and structured information. The working process of interactive CorMap analysis is shown with the application of the 7th International Workshop on Meta-synthesis and Complex Systems (MCS'2007). AU - Bin, Luo AU - Xijin, Tang DA - 2010/04// DO - 10.4018/jkss.2010040106 IS - 2 J2 - International Journal of Knowledge and Systems Science KW - data mining Human computer interaction interactive systems teleconferencing PY - 2010 SN - 1947-8208 SP - 62-70 ST - Enhancing On-line Conferencing Ba with Human-machine Interaction CorMap Analysis T2 - International Journal of Knowledge and Systems Science TI - Enhancing On-line Conferencing Ba with Human-machine Interaction CorMap Analysis UR - http://dx.doi.org/10.4018/jkss.2010040106 http://www.igi-global.com/article/enhancing-line-conferencing-human-machine/44678 VL - 1 ID - 1874 ER - TY - CONF AB - In practical terms, conceptual modeling is at the core of systems analysis and design. The plurality of modeling methods available has however been regarded as detrimental, and as a strong indication that a common view or theoretical grounding of modeling is wanting. This theoretical foundation must universally address all potential matters to be represented in a model, which consequently suggested ontology as the point of departure for theory development. The Bunge-Wand-Weber (BWW) ontology has become a widely accepted modeling theory. Its application has simultaneously led to the recognition that, although suitable as a meta-model, the BWW ontology needs to be enhanced regarding its expressiveness in empirical domains. In this paper, a first step in this direction has been made by revisiting BUNGE's ontology, and by proposing the integration of a "hierarchy of systems" in the BWW ontology for accommodating domain specific conceptualizations. AU - Rosemann, Michael AU - Wyssusek, Boris C3 - 11th Americas Conference on Information Systems, AMCIS 2005, August 11, 2005 - August 15, 2005 DA - 2005 KW - data mining Information systems Management information systems Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - AIS/ICIS Administrative Office PY - 2005 SP - 2791-2798 ST - Enhancing the expressiveness of the Bunge-Wand-Weber ontology T3 - Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale TI - Enhancing the expressiveness of the Bunge-Wand-Weber ontology VL - 6 ID - 1301 ER - TY - CONF AB - Contextual processing is a new emerging field based on the notion that information surrounding an event lends new meaning to the interpretation of the event. Data mining is the process of looking for patterns of knowledge embedded in a data set. The process of mining data starts with the selection of a data set. This process is often imprecise in its methods as it is difficult to know if a data set for training purposes is truly a high quality representation of the thematic event it represents. Contextual dimensions by their nature have a particularly germane relation to quality attributes about sets of data used for data mining. This paper reviews the basics of the contextual knowledge domain and then proposes a method by which context and data mining quality factors could be merged and thus mapped. It then develops a method by which the relationships among mapped contextual quality dimensions can be empirically evaluated for similarity. Finally, the developed similarity model is utilized to propose the creation of contextually based taxonomic trees. Such trees can be utilized to classify data sets utilized for data mining based on contextual quality thus enhancing data mining analysis methods and accuracy. AU - Vert, G. AU - Chennamaneni, A. AU - Iyengar, S. S. C3 - 2011 International Conference on Information & Knowledge Engineering (IKE 2011), 18-21 July 2011 DA - 2011 KW - data mining ubiquitous computing PB - CSREA Press PY - 2011 SP - 166-71 ST - Enhancing the SET based data modeling method with context meta descriptors T3 - Proceedings of the 2011 International Conference on Information Knowledge Engineering (IKE 2011) TI - Enhancing the SET based data modeling method with context meta descriptors ID - 1727 ER - TY - JOUR AB - Background: Biomedical papers contain rich information about entities, facts and events of biological relevance. To discover these automatically, we use text mining techniques, which rely on annotated corpora for training. In order to extract protein-protein interactions, genotype-phenotype/gene-disease associations, etc., we rely on event corpora that are annotated with classified, structured representations of important facts and findings contained within text. These provide an important resource for the training of domain-specific information extraction (IE) systems, to facilitate semantic-based searching of documents. Correct interpretation of these events is not possible without additional information, e.g., does an event describe a fact, a hypothesis, an experimental result or an analysis of results? How confident is the author about the validity of her analyses? These and other types of information, which we collectively term meta-knowledge, can be derived from the context of the event. Results: We have designed an annotation scheme for meta-knowledge enrichment of biomedical event corpora. The scheme is multi-dimensional, in that each event is annotated for 5 different aspects of meta-knowledge that can be derived from the textual context of the event. Textual clues used to determine the values are also annotated. The scheme is intended to be general enough to allow integration with different types of bio-event annotation, whilst being detailed enough to capture important subtleties in the nature of the meta-knowledge expressed in the text. We report here on both the main features of the annotation scheme, as well as its application to the GENIA event corpus (1000 abstracts with 36,858 events). High levels of inter-annotator agreement have been achieved, falling in the range of 0.84-0.93 Kappa. Conclusion: By augmenting event annotations with meta-knowledge, more sophisticated IE systems can be trained, which allow interpretative information to be specified as part of the search criteria. This can assist in a number of important tasks, e.g., finding new experimental knowledge to facilitate database curation, enabling textual inference to detect entailments and contradictions, etc. To our knowledge, our scheme is unique within the field with regards to the diversity of meta-knowledge aspects annotated for each event. AU - Thompson, P. AU - Nawaz, R. AU - McNaught, J. AU - Ananiadou, S. DA - 2011 DO - 10.1186/1471-2105-12-393 J2 - BMC Bioinformatics KW - bioinformatics data handling data mining meta data Proteins semantic networks PY - 2011 SN - 1471-2105 SP - 393-(18 pp.) ST - Enriching a biomedical event corpus with meta- knowledge annotation T2 - BMC Bioinformatics TI - Enriching a biomedical event corpus with meta- knowledge annotation UR - http://dx.doi.org/10.1186/1471-2105-12-393 VL - 12 ID - 1824 ER - TY - JOUR AB - The numerical, sequential observation of behaviors, such as trajectories, have become an important subject for data mining and knowledge discovery research. Processing the raw observation into representative features of the behaviors involves an implicit choice of time-scale and resolution, which critically affect the final output of the mining techniques. The choice is associated with the parameters of data-processing, e.g., smoothing and segmentation, which unintuitively yet strongly influence the intrinsic structure of the numerical data. Data mining techniques generally require users to provide an appropriately processed input, but selecting a resolution is an arduous task that may require an expensive, manual examination of outputs between different settings. In this paper, we propose a novel ensemble framework for aggregating outcomes in different settings of scale and resolution parameters for an anomaly detection task. Such a task is difficult for existing ensemble approaches based on weighted combination because: (a) evaluating and weighing an output requires training samples of anomalies which are generally unavailable, (b) the detectability of anomalies can depend on the resolution, i.e., the distinction from normal instances may only be apparent within a small, selective range of parameters. In the proposed framework, predictions based on different resolutions are aggregated to construct meta-feature representations of the behavior instances. The meta-features provide the discriminative information for conducting a clustering-based anomaly detection. In the proposed framework, two interrelated tasks of the behavior analysis: processing the numerical data and discovering anomalous patterns, are addressed jointly, providing an intuitive alternative for a knowledge-intensive parameter selection. We also design an efficient clustering-based anomaly detection algorithm which reduces the computational burden of mining at multiple resolutions. We conduct an empirical study of the proposed framework using real-world trajectory data. It shows that the proposed framework achieves a significant improvement over the conventional ensemble approach. AU - Ando, S. AU - Thanomphongphan, T. AU - Seki, Y. AU - Suzuki, E. DA - 2015/01// DO - 10.1007/s10618-013-0334-x IS - 1 J2 - Data Mining and Knowledge Discovery KW - data mining pattern clustering security of data L1 - internal-pdf://0631704567/Ando-2015-Ensemble anomaly detection from mult.pdf PY - 2015 SN - 1384-5810 SP - 39-83 ST - Ensemble anomaly detection from multi-resolution trajectory features T2 - Data Mining and Knowledge Discovery TI - Ensemble anomaly detection from multi-resolution trajectory features UR - http://dx.doi.org/10.1007/s10618-013-0334-x VL - 29 ID - 1469 ER - TY - CONF AB - Feature selection (FS) is an important technique in data mining to remove noise, irrelevant and redundant data. The paper introduces the ensemble approach using FS and without using FS tested on a standard medical dataset in order to compare the accuracy and time of both. This system uses best first search FS algorithm to reduce the noise in the dataset. The ensemble technique is a combination of two or more classifiers i.e. meta classifiers and classifiers. Bagging, Boosting and Adaboost are meta classifiers. In the proposed work Bagging and Adaboost ensembles are used, but the main focus is on Bagging Ensembles as it has been proven best compared to Adaboost and Boosting ensembles [1]. This paper concludes that better results can be achieved by applying FS on ensembles. 2015 IEEE. AU - Dhakate, Payal P. AU - Rajeswari, K. AU - Abin, Deepa C3 - Global Conference on Communication Technologies, GCCT 2015, April 23, 2015 - April 24, 2015 DA - 2015 DO - 10.1109/GCCT.2015.7342708 KW - Adaptive boosting Classifiers data mining feature extraction N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 479-482 ST - An ensemble approach for cancerious dataset analysis using feature selection T3 - Global Conference on Communication Technologies, GCCT 2015 TI - An ensemble approach for cancerious dataset analysis using feature selection UR - http://dx.doi.org/10.1109/GCCT.2015.7342708 ID - 1571 ER - TY - CONF AB - Aim of this study is applying the ensemble classification methods over the stock market closing values, which can be assumed as time series and finding out the relation between the economy news. In order to keep the study back ground clear, the majority voting method has been applied over the three classification algorithms, which are the k-nearest neighborhood, support vector machine and the C4.5 tree. The results gathered from two different feature extraction methods are correlated with majority voting meta classifier (ensemble method) which is running over three classifiers. The results show the success rates are increased after the ensemble at least 2 to 3 percent success rate. 2013 IEEE. AU - Seker, Sadi Evren AU - Mert, Cihan AU - Al-Naami, Khaled AU - Ayan, Ugur AU - Ozalp, Nuri C3 - 11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013, June 4, 2013 - June 7, 2013 DA - 2013 DO - 10.1109/ISI.2013.6578840 KW - Commerce data mining economics feature extraction Finance INFORMATION science Momentum Signal processing Time series analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2013 SP - 272-273 ST - Ensemble classification over stock market time series and economy news T3 - IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics TI - Ensemble classification over stock market time series and economy news UR - http://dx.doi.org/10.1109/ISI.2013.6578840 ID - 1074 ER - TY - JOUR AB - Sentiment Analysis is a very challenging and important task that contains natural language processing, web mining and machine learning. Up to date, few researches have been conducted on sentiment classification for Arabic languages due to the lack of resources for managing sentiments or opinions such as senti-lexicons and opinion corpora. The main obstacle in Arabic sentiment analysis is that phrases and words that are used by Arabic web users to express sentiments are highly subjected to usage trends. In addition, the use of dialectal phrases and words contributes to ambiguity in the analysis of Arabic sentiments and opinions. To antidote this shortage, this study proposes an ensemble of machine learning classifiers framework for handling the problem of subjectivity and sentiment analysis for Arabic customer reviews. First of all, three renowned text classification algorithms, called Naive Bayes, Rocchio classifier and support vector machines, are adopted as base-classifiers. Second, we make a comparative study of two kinds of ensemble methods, namely the fixed combination and meta-classifier combination. The experimental results show that the ensemble of the classifiers improves the classification effectiveness in terms of macro-F1 for both levels. The best results obtained for the subjectivity analysis and the sentiment classification in terms of macro-F1 are 97.13% and 90.95% respectively. AU - Omar, N. AU - Albared, M. AU - Al-Shabi, A. Q. AU - Al-Moslmi, T. DA - 2013/10// IS - 14 J2 - International Journal of Advancements in Computing Technology KW - Information analysis Internet learning (artificial intelligence) pattern classification Support Vector Machines PY - 2013 SN - 2005-8039 SP - 77-85 ST - Ensemble of Classification Algorithms for Subjectivity and Sentiment Analysis of Arabic Customers' Reviews T2 - International Journal of Advancements in Computing Technology TI - Ensemble of Classification Algorithms for Subjectivity and Sentiment Analysis of Arabic Customers' Reviews VL - 5 ID - 1425 ER - TY - CONF AB - Biomarker discovery becomes the bottle-neck of personalized medicine and has gained increasing interest from various research fields recently. Nevertheless, producing robust and accurate signatures is a crucial problem in biomarker discovery and relies heavily on the used feature selection algorithms. Feature selection is a preprocessing step which plays a crucial role in omics data analysis to improve learning. The accumulating evidence suggests that ensemble methods and swarm intelligence are two growing solutions for improving feature selection algorithms. In this paper, we propose a two stages approach to identify a predefined number of biomarkers from gene expression data. It is designed as a wrapper-based ensemble method; each part of the ensemble is performed through cooperative parallel meta-heuristics and a filter-based mechanism. Experiments from twelve DNA microarray datasets have shown that our approach competes with and even outperforms recent state-of-the-art methods in terms of accuracy and robustness. Also, biological interpretation shows that our approach selects highly informative genes for cancer diagnosis. AU - Boucheham, A. AU - Batouche, M. AU - Meshoul, S. C3 - Bioinformatics and Biomedical Engineering Third International Conference, IWBBIO 2015, 15-17 April 2015 DA - 2015 DO - 10.1007/978-3-319-16480-9_30 KW - bioinformatics Cancer data analysis data mining DNA feature selection Genetics Genomics lab-on-a-chip learning (artificial intelligence) molecular biophysics swarm intelligence PB - Springer International Publishing PY - 2015 SP - 301-12 ST - An ensemble of cooperative parallel metaheuristics for gene selection in cancer classification T3 - Bioinformatics and Biomedical Engineering. Third International Conference, IWBBIO 2015. Proceedings: LNCS 9044 TI - An ensemble of cooperative parallel metaheuristics for gene selection in cancer classification UR - http://dx.doi.org/10.1007/978-3-319-16480-9_30 VL - Part II ID - 991 ER - TY - JOUR AN - 106128629. Language: English. Entry Date: 20070803. Revision Date: 20150711. Publication Type: Journal Article AU - Moreira, T. DA - 2007/03// DB - c8h DP - EBSCOhost IS - 2 J2 - Sociology of Health & Illness KW - databases data mining Diaries Ethnographic Research Field Notes Health Knowledge Human Interview Guides meta analysis Politics Practice Guidelines Professional Practice, Evidence-Based Semi-Structured Interview Systematic review United Kingdom L1 - internal-pdf://0412776091/Moreira-2007-Sociology_of_Health_&_Illness.pdf N1 - research; tables/charts. Journal Subset: Biomedical; Europe; Peer Reviewed; Public Health; UK & Ireland. Special Interest: Evidence-Based Practice; Public Health. NLM UID: 8205036. PY - 2007 SN - 0141-9889 SP - 180-197 ST - Entangled evidence: knowledge making in systematic reviews in healthcare T2 - Sociology of Health & Illness TI - Entangled evidence: knowledge making in systematic reviews in healthcare UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=106128629&scope=site VL - 29 ID - 399 ER - TY - CONF AB - Semantic Web is in the transition from vision and research to reality. In this early state, it is important to study the technical capabilities in the context of real-world applications, and how applications built using the semantic Web technology meet the real market needs. Beyond push from research, it is the market pull and the ability of the technology to meet real business needs that is a key to ultimate success of any technology. In this paper, we discuss the market of risk and compliance which presents unique market opportunity combined with challenging technical requirements. We discuss how the semantic Web technology with an ontology driven approach is especially well suited to support the demanding requirements of the applications in this market. We also discuss the capabilities of a commercial semantic technology that has origins in academic research, as it is utilized in a significant risk and compliance application deployed at large financial institutions. Core capabilities of this technology include the ability to develop and maintain focused but large populated ontologies, automatic semantic metadata extraction supported by disambiguation techniques, ability to process heterogeneous information and provide semantic integration combined with link identification and analysis through rule specification and execution, as well as organization and domain specific scoring and ranking. These semantic capabilities are coupled with enterprise software capabilities which are necessary for success of an emerging technology for meeting the needs of demanding enterprise customers. AU - Sheth, A. C3 - Industrial Applications of Semantic Web. Proceedings of the 1st IFIP WG 12.5 Working Conference on Industrial Applications of Semantic Web, 25-27 Aug. 2005 DA - 2005 DO - 10.1007/0-387-29248-9_3 KW - data mining formal specification Knowledge based systems meta data ontologies (artificial intelligence) Risk management Semantic Web virtual enterprises PB - Springer PY - 2005 SP - 47-62 ST - Enterprise applications of semantic Web: the sweet spot of risk and compliance T3 - Industrial Applications of Semantic Web. Proceedings of the 1st IFIP WG 12.5 Working Conference on Industrial Applications of Semantic Web TI - Enterprise applications of semantic Web: the sweet spot of risk and compliance UR - http://dx.doi.org/10.1007/0-387-29248-9_3 ID - 1102 ER - TY - JOUR AB - Business Intelligence (BI) plays important roles in executive decision making in organizations. Up-to-date information from good data sources always gives advantages to the organization. Nowadays, information in Semantic Webs is considered important source of BI data. It provides machine readable information using the Resource Description Framework (RDF). To perform BI activities on RDF documents, many research works propose direct mining on RDF documents. This paper presents a different approach for preparing BI project information from RDF data sources. A conceptual meta schema is used to describe RDF information. The meta schema is transformed into meta tables which are used to keep both RDF schema and document information. A transformation algorithm is proposed to transform the information into 5NF relational database Schemas and relations which are finally transformed into BI project data structures. 2007, Springer New York LLC. All rights reserved. AU - Teswanich, Wajee AU - Chittayasothorn, Suphamit DA - 2007 J2 - IFIP Advances in Information and Communication Technology KW - Data warehouses decision making Information analysis Information systems Metadata Semantic Web World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2007 SN - 18684238 SP - 443-453 ST - Enterprise business intelligence data preparation using RDF data sources T2 - IFIP Advances in Information and Communication Technology TI - Enterprise business intelligence data preparation using RDF data sources VL - 254 ID - 861 ER - TY - CONF AB - Asynchronous discussion forums are one of the artifacts of the internet age. They occur in a wide variety of applications from distance learning to technical support. Technical support forums have also proliferated in enterprises, and today form a salient feature of many technical interactions in large enterprises. Two interconnected example applications where such forums may be employed are the following: customer pre-sales, where sales teams attempt to answer queries of potential customers; and internal forums where technical staff attempt to provide assistance to sales teams on urgent issues that require immediate attention. In this paper, we report a study of an internal technical support forum for pre-sales in a large Fortune-10 global enterprise. The data being generated on such forums is fast evolving, requires quick and intelligent human (assisted by machine) responses, and is of high value to the enterprise since it directly affects sales. Owing to this, it poses unique challenges. We conduct a two-fold study of the forum. First, we study the metadata in the forum messages to understand the temporal, participant, and length profiles of messages. Second, we use text mining to detect trends in forums using clustering and information-theoretic techniques. To our knowledge, this is the first study of an enterprise internal technical support forum. As a focal point in our study, we describe the problem of identifying hot or urgent issues early, so that management can take requisite steps to deal with emerging problems. Our results are surprising: we show that threads that bring urgent issues to light have temporal, length, and content profiles that resemble that of non-urgent threads. Therefore, the detection of such threads via metadata and content analysis is difficult. We present a solution to this problem based on participant profiles. AU - Deolalikar, V. C3 - 2013 IEEE International Conference on Big Data, 6-9 Oct. 2013 DA - 2013 DO - 10.1109/BigData.2013.6691680 KW - data mining meta data pattern clustering sales management text analysis PB - IEEE PY - 2013 SP - 4-pp. ST - Enterprise pre-sales forums: a preliminary study of metadata and content T3 - 2013 IEEE International Conference on Big Data TI - Enterprise pre-sales forums: a preliminary study of metadata and content UR - http://dx.doi.org/10.1109/BigData.2013.6691680 ID - 1490 ER - TY - CONF AB - Data availability in online social networks as well as the business world has lately not been an issue. Vast amounts of data are being generated by social networking users in the form of informal interactions. What has been an issue, is the transformation of data into useful information, that in time and with appropriate processing becomes knowledge. In this paper we examine knowledge generation under informal social communications, based on semantically enriched user-generated data and associated metadata. We dynamically capture users' interests and expertise using such semantically enriched content. Knowledge networks of users emerge, exhibiting collective intelligence. To capture such collective knowledge, we propose a novel knowledge base paradigm, which seamlessly integrates information from multiple platforms and facilitates knowledge extraction, mining, discovery and inferencing. Using semantically enriched user profiles, we compute semantic similarity between users and content in a joint semantic space, driving numerous applications. AU - Chelmis, C. AU - Sorathia, V. AU - Prasanna, V. K. C3 - 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012), 26-29 Aug. 2012 DA - 2012 DO - 10.1109/ASONAM.2012.212 KW - business data processing Content Management data mining Knowledge based systems meta data Social networking (online) PB - IEEE Computer Society PY - 2012 SP - 1228-35 ST - Enterprise Wisdom Captured Socially T3 - 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012). Proceedings TI - Enterprise Wisdom Captured Socially UR - http://dx.doi.org/10.1109/ASONAM.2012.212 ID - 1135 ER - TY - JOUR AB - The focus is to describe the key-role DB2 UDB plays in the IBM data warehouse architecture and which specific techniques are implemented to support the analysis of huge amount of data. Methods/techniques like data partitioning, multidimensional clustering of table data und the usage of materialized views will be discussed and the advantages will be shown. AU - Goerlich, O. AU - Scheible, K. H. AU - Clement, M. DA - 2003/08// DO - 10.1524/itit.45.4.211.22734 IS - 4 J2 - IT-Information Technology KW - business data processing data analysis data mining Data warehouses meta data Query languages query processing L1 - internal-pdf://1926411641/Goerlich-2003-Enterprise-wide data analysis us.pdf PY - 2003 SN - 1611-2776 SP - 211-18 ST - Enterprise-wide data analysis using IBM DB2 UDB T2 - IT-Information Technology TI - Enterprise-wide data analysis using IBM DB2 UDB UR - http://dx.doi.org/10.1524/itit.45.4.211.22734 http://www.degruyter.com.ezproxy.lib.vt.edu/downloadpdf/j/itit.2003.45.issue-4-2003/itit.45.4.211.22734/itit.45.4.211.22734.xml VL - 45 ID - 1516 ER - TY - CONF AB - The proceedings contain 27 papers. The topics discussed include: in search of the holy grail: integrating social software with BPM experience report; ontology driven government services inventory and business process management; a service-oriented view on business processes and supporting applications; viewpoints reconciliation in services design: a model-driven approach for highly collaborative environments; perspectives for integrating knowledge and business processes through collaboration; workflow time patterns for process-aware information systems; identifying drivers of inefficiency in business processes: a DEA and data mining perspective; an enterprise architecture framework for integrating the multiple perspectives of business processes; an interperspective-oriented business process modeling approach; a meta-language for ea information modeling - state-of-the-art and requirements elicitation; and supporting layered architecture specifications: a domain modeling approach. C3 - 11th International Workshop on Business Process Modeling, Development and Support, BPMDS 2010 and 15th International Conference on Exploring Modeling Methods for Systems Analysis and Design, EMMSAD 2010, Held in Conjunction with CAiSE 2010, June 7, 2010 - June 8, 2010 DA - 2010 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2010 SN - 18651348 SP - The-European INTEROP Network of Excellence; AIS-SIGSAND ST - Enterprise, Business-Process and Information Systems Modeling - 11th International Workshop, BPMDS 2010 and 15th International Conference, EMMSAD 2010, Held at CAiSE 2010, Proceedings T3 - Lecture Notes in Business Information Processing TI - Enterprise, Business-Process and Information Systems Modeling - 11th International Workshop, BPMDS 2010 and 15th International Conference, EMMSAD 2010, Held at CAiSE 2010, Proceedings VL - 50 LNBIP ID - 638 ER - TY - CONF AB - This study is aimed at entrepreneurship research dynamics in 1992-2013. Data are based on the online version of the Web of Science (ISI Citation Indexes) and ProQuest Databases from 1992 to 2013 that published articles with titles about entrepreneurship. This study analytically uses the meta-analysis method mining out related entrepreneurship articles, through the bibliometric approach with organized relevant issues, themes, sub-themes, and perspective-based evaluation of the entrepreneurship field. The data shows research on entrepreneurship performance during the period 1992-2013. The academic research of entrepreneurship continued to slowly increase during 1992-2013, increasing significantly in 2008 and rocketing through the first decade of the 21st century. The results conclude four relevant themes and nineteen sub-themes. The core themes of entrepreneurship are entrepreneur issues, innovative issues, corporative issues, and business operations issues. This research will help researchers realize the panorama of global research entrepreneurship trends, issues, and themes in order to establish further research direction. AU - Chen, J. K. C. C3 - 2015 Portland International Conference on Management of Engineering and Technology (PICMET), 2-6 Aug. 2015 DA - 2015 DO - 10.1109/PICMET.2015.7273054 KW - innovation management organisational aspects PB - IEEE PY - 2015 SP - 953-60 ST - Entrepreneurship research dynamics (1992-2013): Aim at entrepreneurial, innovative firms and business operations T3 - 2015 Portland International Conference on Management of Engineering and Technology (PICMET). Proceedings TI - Entrepreneurship research dynamics (1992-2013): Aim at entrepreneurial, innovative firms and business operations UR - http://dx.doi.org/10.1109/PICMET.2015.7273054 ID - 823 ER - TY - CONF AB - It is an important task in Data Mining and Social Network Analysis to detect dense subgraphs, namely pseudo-cliques in networks. Given a positive integer k designating an upper bound of the number of disconnections, some algorithms to enumerate k-plexes as pseudo-cliques have been proposed based on the anti-monotonicity property similar to the case of cliques. Those algorithms are however effective only for small k, since every vertex set with its size less than k +1 is trivially a k-plex. Moreover, there still exist non-dense k-plexes with their sizes exceeding k. For these reasons, it has been a hard task to design an efficient k-plex enumerator for non-small k. This paper aims at developing a fast enumerator for finding densely connected k-plexes for non-small k, avoiding both of the small k-plexes and non-dense medium k plexes. For this purpose, we construct a clique-graph from the original input graph and consider meta-cliques of overlapping cliques satisfying several constraints about k-plexness and overlappingness using bond measure for set-theoretic correlation. We also show its usefulness by exhaustive experiments about the number of solution k-plexes, computational costs and even the quality of output k-plexes. AU - Hongjie, Zhai AU - Haraguchi, M. AU - Okubo, Y. AU - Tomita, E. C3 - Discovery Science. 18th International Conference, DS 2015, 4-6 Oct. 2015 DA - 2015 DO - 10.1007/978-3-319-24282-8_28 KW - Graph theory network theory (graphs) Set theory PB - Springer International Publishing PY - 2015 SP - 324-39 ST - Enumerating Maximal Clique Sets with Pseudo-Clique Constraint T3 - Discovery Science. 18th International Conference, DS 2015. Proceedings: LNCS 9356 TI - Enumerating Maximal Clique Sets with Pseudo-Clique Constraint UR - http://dx.doi.org/10.1007/978-3-319-24282-8_28 ID - 1128 ER - TY - JOUR AB - BACKGROUND: Leptospirosis is one of the most widespread zoonotic diseases, which is of global medical and veterinary importance, and also a re-emerging infectious disease. The main tracks of transmission are known; however, the relative importance of each of the components and the respective environmental risk factors are unclear. We aimed to assess and specify quantitative evidence of environmental risks of leptospirosis transmission. METHODS/FINDINGS: A database of pre-selected studies, with publication dates from 1970 until 2008, was provided by an expert group. The database has been updated until 2015 using a text mining algorithm. Study selection was based on stringent quality criteria. A descriptive data analysis was performed to calculate the medians of the log transformed odds ratios. From a selection of 2723 unique publications containing information on leptospirosis, 428 papers dealing with risk factors were identified. Of these, 53 fulfilled the quality criteria, allowing us to identify trends in different geo-climatic regions. Water associated exposures were, with few exceptions, associated with an increased leptospirosis risk. In resource poor countries, floods and rainfall were of particular importance, whereas recreational water activities were more relevant in developed countries. Rodents were associated with increased leptospirosis risk, but the variation among studies was high, which might be partly explained by differences in exposure definition. Livestock contact was commonly associated with increased risk; however, several studies found no association. The median odds ratios associated with dog and cat contacts were close to unity. Sanitation and behavioural risk factors were almost always strongly associated with leptospirosis, although their impact was rarely investigated in Europe or North America. CONCLUSION: This review confirms the complex environmental transmission pathways of leptospirosis, as previously established. Although, floods appeared to be among the most important drivers on islands and in Asia, the consistent pattern observed for exposure to rodents and behavioural and sanitation related risk factors indicate potential areas for intervention. AU - Mwachui, Mwanajaa Abdalla AU - Crump, Lisa AU - Hartskeerl, Rudy AU - Zinsstag, Jakob AU - Hattendorf, Jan DA - 2015 DO - 10.1371/journal.pntd.0003843 IS - 9 J2 - PLoS Negl Trop Dis KW - Animals Behavior Climate Communicable Diseases, Emerging/transmission Environment Geography Humans Leptospirosis/*transmission Risk Factors Zoonoses/*transmission L1 - internal-pdf://0137806862/journal.pntd.0003843.PDF LA - eng PY - 2015 SN - 1935-2735 1935-2727 SP - e0003843 ST - Environmental and Behavioural Determinants of Leptospirosis Transmission: A Systematic Review T2 - PLoS neglected tropical diseases TI - Environmental and Behavioural Determinants of Leptospirosis Transmission: A Systematic Review VL - 9 ID - 179 ER - TY - JOUR AB - OBJECTIVE: In Ontario, there are significant geographical disparities in colorectal cancer incidence. In particular, the northern region of Timiskaming has the highest incidence of colorectal cancer in Ontario while the southern region of Peel displays the lowest. We aimed to identify non-nutritional modifiable environmental factors in Timiskaming that may be associated with its diverging colorectal cancer incidence rates when compared to Peel. METHODS: We performed a systematic review to identify established and proposed environmental factors associated with colorectal cancer incidence, created an assessment questionnaire tool regarding these environmental exposures, and applied this questionnaire among 114 participants from the communities of Timiskaming and Peel. RESULTS: We found that tobacco smoking, alcohol consumption, residential use of organochlorine pesticides, and potential exposure to toxic metals were dominant factors among Timiskaming respondents. We found significant differences regarding active smoking, chronic alcohol use, reported indoor and outdoor household pesticide use, and gold and silver mining in the Timiskaming region. CONCLUSIONS: This study, the first to assess environmental factors in the Timiskaming community, identified higher reported exposures to tobacco, alcohol, pesticides, and mining in Timiskaming when compared with Peel. These significant findings highlight the need for specific public health assessments and interventions regarding community environmental exposures. AU - Sritharan, Jeavana AU - Kamaleswaran, Rishikesan AU - McFarlan, Ken AU - Lemonde, Manon AU - George, Clemon AU - Sanchez, Otto DA - 2014/05//undefined DO - 10.5539/gjhs.v6n3p175 IS - 3 J2 - Glob J Health Sci KW - *Health Status Disparities Adolescent Adult Aged Alcoholism/epidemiology Colorectal Neoplasms/*epidemiology Environmental Exposure/*statistics & numerical data Female Health Status Humans Incidence Male Middle Aged mining Ontario/epidemiology Pesticides Risk Factors Smoking/epidemiology Socioeconomic Factors Young Adult LA - eng PY - 2014 SN - 1916-9736 1916-9736 SP - 175-185 ST - Environmental factors in an Ontario community with disparities in colorectal cancer incidence T2 - Global journal of health science TI - Environmental factors in an Ontario community with disparities in colorectal cancer incidence VL - 6 ID - 331 ER - TY - JOUR AB - The purpose of this review article is to investigate the usefulness of different types of life cycle assessment (LCA) studies of electrified vehicles to provide robust and relevant stakeholder information. It presents synthesized conclusions based on 79 papers. Another objective is to search for explanations to divergence and "complexity" of results found by other overviewing papers in the research field, and to compile methodological learnings. The hypothesis was that such divergence could be explained by differences in goal and scope definitions of the reviewed LCA studies. The review has set special attention to the goal and scope formulation of all included studies. First, completeness and clarity have been assessed in view of the ISO standard's (ISO 2006a, b) recommendation for goal definition. Secondly, studies have been categorized based on technical and methodological scope, and searched for coherent conclusions. Comprehensive goal formulation according to the ISO standard (ISO 2006a, b) is absent in most reviewed studies. Few give any account of the time scope, indicating the temporal validity of results and conclusions. Furthermore, most studies focus on today's electric vehicle technology, which is under strong development. Consequently, there is a lack of future time perspective, e.g., to advances in material processing, manufacturing of parts, and changes in electricity production. Nevertheless, robust assessment conclusions may still be identified. Most obvious is that electricity production is the main cause of environmental impact for externally chargeable vehicles. If, and only if, the charging electricity has very low emissions of fossil carbon, electric vehicles can reach their full potential in mitigating global warming. Consequently, it is surprising that almost no studies make this stipulation a main conclusion and try to convey it as a clear message to relevant stakeholders. Also, obtaining resources can be observed as a key area for future research. In mining, leakage of toxic substances from mine tailings has been highlighted. Efficient recycling, which is often assumed in LCA studies of electrified vehicles, may reduce demand for virgin resources and production energy. However, its realization remains a future challenge. LCA studies with clearly stated purposes and time scope are key to stakeholder lessons and guidance. It is also necessary for quality assurance. LCA practitioners studying hybrid and electric vehicles are strongly recommended to provide comprehensive and clear goal and scope formulation in line with the ISO standard (ISO 2006a, b). AU - Nordelof, Anders AU - Messagie, Maarten AU - Tillman, Anne-Marie AU - Soderman, Maria Ljunggren AU - Van Mierlo, Joeri DA - 2014/11// DO - 10.1007/s11367-014-0788-0 IS - 11 PY - 2014 SN - 0948-3349 SP - 1866-1890 ST - Environmental impacts of hybrid, plug-in hybrid, and battery electric vehicles-what can we learn from life cycle assessment? T2 - International Journal of Life Cycle Assessment TI - Environmental impacts of hybrid, plug-in hybrid, and battery electric vehicles-what can we learn from life cycle assessment? VL - 19 ID - 1900 ER - TY - JOUR AB - Background: The United States has experienced a boom in natural gas production due to recent technological innovations that have enabled this resource to be produced from shale formations. Objectives: We reviewed the body of evidence related to exposure pathways in order to evaluate the potential environmental public health impacts of shale gas development. We highlight what is currently known and identify data gaps and research limitations by addressing matters of toxicity, exposure pathways, air quality, and water quality. Discussion: There is evidence of potential environmental public health risks associated with shale gas development. Several studies suggest that shale gas development contributes to ambient air concentrations of pollutants known to be associated with increased risk of morbidity and mortality. Similarly, an increasing body of studies suggest that water contamination risks exist through a variety of environmental pathways, most notably during wastewater transport and disposal, and via poor zonal isolation of gases and fluids due to structural integrity impairment of cement in gas wells. Conclusion: Despite a growing body of evidence, data gaps persist. Most important, there is a need for more epidemiological studies to assess associations between risk factors, such as air and water pollution, and health outcomes among populations living in close proximity to shale gas operations. AN - 103993074. Language: English. Entry Date: 20140829. Revision Date: 20150710. Publication Type: Journal Article AU - Shonkoff, Seth B. C. AU - Hays, Jake AU - Finkel, Madelon L. DA - 2014/08// DB - c8h DO - 10.1289/ehp.1307866 DP - EBSCOhost IS - 8 J2 - Environmental Health Perspectives KW - Air Pollutants, Environmental Conceptual Framework Environmental Health Environmental Pollution Extraction and Processing Industry Fossil Fuels mining Nomenclature Public Health -- Evaluation -- United States PubMed Systematic review United States N1 - pictorial; research; systematic review. Journal Subset: Blind Peer Reviewed; Editorial Board Reviewed; Peer Reviewed; Public Health; USA. Special Interest: Evidence-Based Practice; Public Health. NLM UID: 0330411. PY - 2014 SN - 0091-6765 SP - 787-795 ST - Environmental Public Health Dimensions of Shale and Tight Gas Development T2 - Environmental Health Perspectives TI - Environmental Public Health Dimensions of Shale and Tight Gas Development UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=103993074&scope=site VL - 122 ID - 395 ER - TY - JOUR AB - BACKGROUND: Environmentally induced, occupational diseases are increasing worldwide, especially in rural agricultural communities. Poverty-associated malnutrition, environmental hazards and pollution, and lack of access to clean water, safe sanitation, and modern healthcare facilities are often associated with these chronic illnesses. METHOD: The authors systematically reviewed occupational public health issues that have been related to the environment. General interpretations of results were included as per the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Pertinent publications from research databases were reviewed on (A) the risk-benefits, (B) the prevalence of risk factors for various diseases, (C) the benefits of not ignoring the risk factors (i.e., broader evidence), and (D) the risks, effects, and outcomes of different types of interventions. The authors used chronic kidney disease of multifactorial origin (CKDmfo) as an example to explore the theme. Emphasis was given to the regions with emerging economies and developing countries located in the vicinity of the equator. FINDINGS: Geographical, socio-economic and aetiological similarities exist for many chronic non-communicable diseases that are affecting tropical countries around the equator. The authors identified manufacturing, mining, and agriculture as the biggest polluters of the environment. In addition, deforestation and associated soil erosion, overuse of agrochemicals, and irresponsible factory discharge (e.g., chemicals and paint, from rubber and textile factories, etc.), all contribute to pollution. To decrease the escalating incidences of environmentally induced diseases, governments should work proactively to protect the environment, especially watersheds, and take steps to minimise harmful occupational exposures and strictly enforce environmental regulations. CONCLUSION: Creating public awareness of environmental issues and their relationship to public health is essential. This includes regular monitoring and periodic publication of the quality of water, air and soil; preventing deforestation and man-made soil erosion, increasing forest and ground cover, preventing occupational injuries, judicious and safe use of agrochemicals, sustainable agriculture and development programs, and implementing legislation to protect and conserve water heriage and the environment. These actions are essential both for a healthier environment and for the health of the people who live in that environment. Such measures would also decrease public health threats from such, including global-warming-related erratic environmental changes and the occurrence and the spread of non-communicable diseases, such as CKDmfo. AU - Wimalawansa, Shehani A. AU - Wimalawansa, Sunil J. DA - 2016 DO - 10.1186/s40557-016-0119-y J2 - Ann Occup Environ Med KW - Agribusiness Agriculture Agrochemicals Contamination Human diseases Kidney disease Occupational hazards Policies Pollution Premature death Prevention Water LA - eng PY - 2016 SN - 2052-4374 2052-4374 SP - 33 ST - Environmentally induced, occupational diseases with emphasis on chronic kidney disease of multifactorial origin affecting tropical countries T2 - Annals of occupational and environmental medicine TI - Environmentally induced, occupational diseases with emphasis on chronic kidney disease of multifactorial origin affecting tropical countries VL - 28 ID - 111 ER - TY - CONF AB - Geospatial Reasoning has been an essential aspect of military planning since the invention of cartography. Although maps have always been a focal point for developing situational awareness, the dawning era of Network Centric Operations brings the promise of unprecedented battlefield advantage due to improved geospatial situational awareness. Geographic information systems (GIS) and GIS-based decision support systems are ubiquitous within current military forces, as well as civil and humanitarian organizations. Understanding the quality of geospatial data is fundamental to using it intelligently. A systematic approach to data quality requires: estimating and describing the quality of data as it is collected; recording the data quality as meta data; propagating uncertainty through models for data processing; exploiting uncertainty appropriately in decision support tools; and communicating to the user the uncertainty in the final product. Bayesian reasoning provides a principled and coherent approach to representing and drawing inferences about data quality. This paper describes our research on data quality for military applications of geospatial reasoning, and describes model views appropriate for model builders, analysts, and end users. AU - Laskey, Kathryn B. AU - Wright, Edward J. AU - Da Costa, Paulo C. G. C3 - BMA 2007 5th UAI Bayesian Modeling Applications Workshop, UAI-AW 2007, July 19, 2007 - July 19, 2007 DA - 2007 KW - artificial intelligence Data processing Data reduction Decision support systems Geographic information systems Maps Military applications Military mapping Uncertainty analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Sun SITE Central Europe CEUR-WS PY - 2007 SN - 16130073 ST - Envisioning uncertainty in geospatial information T3 - CEUR Workshop Proceedings TI - Envisioning uncertainty in geospatial information VL - 268 ID - 579 ER - TY - BOOK AB - This project's goal was to provide a preliminary sketch of the use of text-mining tools as an emerging methodology within a number of systematic review processes. We sought to provide information addressing pressing questions individuals and organizations face when considering utilizing text-mining tools. We searched the literature to identify and summarize research on the use of text-mining tools within the systematic review context. We conducted telephone interviews with Key Informants (KIs; n=8) using a semi-structured instrument and subsequent qualitative analysis to explore issues surrounding the implementation and use of text-mining tools. Lastly, we compiled a list of text-mining tools to support systematic review methods and evaluated the tools using an informal descriptive appraisal tool. The literature review identified 122 articles that met inclusion criteria, including two recent systematic reviews on the use of text-mining tools in the screening and data abstraction steps of systematic reviews. In addition to these two steps, a preliminary exploration of the literature on searching and other less-studied steps are presented. Support for the use of text-mining was strong amongst the KIs overall, though most KIs noted some performance caveats and/or areas in which further research is necessary. We evaluated 111 text-mining tools identified from the literature review and KI interviews. Text-mining tools are currently being used within several systematic review organizations for a variety of review processes (e.g., searching, screening abstracts), and the published evidence-base is growing fairly rapidly in breadth and levels of evidence. Several outstanding questions remain for future empirical research to address regarding the reliability and validity of using these emerging technologies across a variety of review processes and whether these generalize across the scope of review topics. Guidance on reporting the use of these tools would be useful. AU - Paynter, Robin AU - Banez, Lionel L. AU - Berliner, Elise AU - Erinoff, Eileen AU - Lege-Matsuura, Jennifer AU - Potter, Shannon AU - Uhl, Stacey CY - Rockville (MD) DA - 2016/04//undefined L1 - internal-pdf://1889947178/text-mining-report-160419.pdf LA - eng PB - Agency for Healthcare Research and Quality (US) PY - 2016 ST - EPC Methods: An Exploration of the Use of Text-Mining Software in Systematic Reviews TI - EPC Methods: An Exploration of the Use of Text-Mining Software in Systematic Reviews ID - 67 ER - TY - JOUR AB - BACKGROUND: Owing to the use of tobacco and the consumption of alcohol and adulterated food, worldwide cancer incidence is increasing at an alarming and frightening rate. Since the last decade of the twentieth century, lung cancer has been the most common cancer type. This study aimed to determine the global status of lung cancer and to evaluate the use of computational methods in the early detection of lung cancer. METHODS: We used lung cancer data from the United Kingdom (UK), the United States (US), India, and Egypt. For statistical analysis, we used incidence and mortality as well as survival rates to better understand the critical state of lung cancer. RESULTS: In the UK and the US, we found a significant decrease in lung cancer mortalities in the period of 1990-2014, whereas, in India and Egypt, such a decrease was not much promising. Additionally, we observed that, in the UK and the US, the survival rates of women with lung cancer were higher than those of men. We observed that the data mining and evolutionary algorithms were efficient in lung cancer detection. CONCLUSIONS: Our findings provide an inclusive understanding of the incidences, mortalities, and survival rates of lung cancer in the UK, the US, India, and Egypt. The combined use of data mining and evolutionary algorithm can be efficient in lung cancer detection. AU - Dubey, Ashutosh Kumar AU - Gupta, Umesh AU - Jain, Sonal DA - 2016 DO - 10.1186/s40880-016-0135-x IS - 1 J2 - Chin J Cancer KW - data mining Evolutionary algorithms Incidence and mortality rates Lung cancer L1 - internal-pdf://1892430639/Dubey-2016-Epidemiology of lung cancer and app.pdf LA - eng PY - 2016 SN - 1944-446X 1944-446X SP - 71 ST - Epidemiology of lung cancer and approaches for its prediction: a systematic review and analysis T2 - Chinese journal of cancer TI - Epidemiology of lung cancer and approaches for its prediction: a systematic review and analysis UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4967338/pdf/40880_2016_Article_135.pdf VL - 35 ID - 149 ER - TY - JOUR AB - OBJECTIVE: This systematic review aimed to describe the burden and risk factors of work-related traumatic brain injury (wrTBI) and evaluate methodological quality of existing literature on wrTBI. METHODS: A search of electronic databases (MEDLINE, EMBASE, PsycINFO, and CINAHL) was conducted to identify articles published between 1980 and 2013 using a combination of terms for work, TBI, and epidemiology, without geographical limitations. RESULTS: Ninety-eight studies were included in this review, of which 24 specifically focused on wrTBI. In general, male workers, those in the youngest and oldest age groups, and those working in the primary (e.g., agriculture, forestry, mining) or construction industries were more likely to sustain wrTBI, with falls being the most common mechanism of injury. CONCLUSIONS: This review identified workers at highest risk of wrTBI, with implications for prevention efforts. Future research of better methodological quality is needed to provide a more complete picture of the epidemiology of wrTBI. AU - Chang, Vicky C. AU - Guerriero, E. Niki AU - Colantonio, Angela DA - 2015/04//undefined DO - 10.1002/ajim.22418 IS - 4 J2 - Am J Ind Med KW - Accidental Falls/statistics & numerical data Age Factors Agriculture/statistics & numerical data Brain Injuries/*epidemiology/etiology Construction Industry/statistics & numerical data epidemiology Forestry/statistics & numerical data Humans Incidence Industry/*statistics & numerical data Mining/statistics & numerical data Occupational Health occupational health and safety Occupational Injuries/*epidemiology/etiology Risk Factors Sex Factors Systematic review traumatic brain injury work-related L1 - internal-pdf://2389393258/Chang-2015-Epidemiology of work-related trauma.pdf LA - eng PY - 2015 SN - 1097-0274 0271-3586 SP - 353-377 ST - Epidemiology of work-related traumatic brain injury: a systematic review T2 - American journal of industrial medicine TI - Epidemiology of work-related traumatic brain injury: a systematic review UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/ajim.22418/asset/ajim22418.pdf?v=1&t=itir06yf&s=66e12b4006e3025dc427a18df573bd22c7c6f3e4 VL - 58 ID - 145 ER - TY - JOUR AB - The per capita alcohol consumption of the Northern Territory, Australia, is second highest in the world, estimated 15.1 liters of pure alcohol per year. Alcohol abuse is a major public health concern among Aboriginal and Torres Strait Islander people in Australia. The Aboriginal and Torres Strait Islanders in the Northern Territory consume approximately 16.9 liters of pure alcohol per year. This descriptive review is based on current published and grey literature in the context of high risk alcohol use, with a special focus on the epidemiological, etiological, and social factors, to predict alcohol misuse among the Australian Aboriginal and Torres Strait Islanders in Northern Territory. The methodology involved a descriptive search on PubMed, Northern Territory government reports, health databases, and Web sites with an emphasis on the etiology and epidemiology of high-risk alcohol consumption among the Australian Aboriginal and Torres Strait Islanders of the Northern Territory. This review has its own limitations because it does not rely on systematic review methodologies. However, it presents real data on the motives for binge drinking and alcohol-related violent assaults of this vulnerable population. Alcohol abuse and alcohol-related harms are considerably high among the rural and remote communities where additional research is needed. High-risk alcohol misuse within Australian Aboriginal and Torres Strait Islanders communities often leads to a series of physical and social consequences. This review highlights the need for culturally appropriate intervention approaches focusing on alcohol misuse among the Aboriginal and Torres Strait Islanders population of the Northern Territory. AN - 103767022. Language: English. Entry Date: 20150303. Revision Date: 20160624. Publication Type: Journal Article AU - Ramamoorthi, Ramya AU - Jayaraj, Rama AU - Notaras, Leonard AU - Thomas, Mahiban DA - 2015/01// DB - c8h DO - 10.1080/15332640.2014.958642 DP - EBSCOhost IS - 1 J2 - Journal of Ethnicity in Substance Abuse KW - Aborigines -- Australia Alcohol Abuse -- Australia Alcohol Abuse -- Epidemiology -- Australia Alcohol Abuse -- Etiology -- Australia Australia Binge Drinking Crowding Homelessness mining Motivation Poverty PubMed Social Values Unemployment Violence N1 - review; tables/charts. Journal Subset: Biomedical; Peer Reviewed; USA. Special Interest: Psychiatry/Psychology. NLM UID: 101083217. PY - 2015 SN - 1533-2640 SP - 1-11 ST - Epidemiology, Etiology, and Motivation of Alcohol Misuse Among Australian Aboriginal and Torres Strait Islanders of the Northern Territory: A Descriptive Review T2 - Journal of Ethnicity in Substance Abuse TI - Epidemiology, Etiology, and Motivation of Alcohol Misuse Among Australian Aboriginal and Torres Strait Islanders of the Northern Territory: A Descriptive Review UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=103767022&scope=site VL - 14 ID - 410 ER - TY - JOUR AB - The present study examined the electrophysiological correlates of the psychological processing of possessive pronouns such as "wo de" (Chinese for "my"/"mine") and "ta de" (Chinese for "his") using a three-stimulus oddball paradigm. Sixteen participants were visually presented the stimuli (possessive pronouns, small circle and big circle). The results showed that, relative to non-self-relevant possessive pronoun "ta de", self-relevant possessive pronoun "wo de" elicited a significantly larger P300 amplitude independently. The present study suggested that the self-relevant possessive pronoun was psychologically important to human beings. (C) 2010 Elsevier Ireland Ltd. All rights reserved. AU - Zhou, Aibao AU - Shi, Zhan AU - Zhang, Pengying AU - Liu, Peiru AU - Han, Wei AU - Wu, Huifen AU - Li, Qiong AU - Zuo, Quanshun AU - Xia, Ruixue DA - 2010/08/16/ DO - 10.1016/j.neulet.2010.06.033 IS - 2 PY - 2010 SN - 0304-3940 SP - 162-166 ST - An ERP study on the effect of self-relevant possessive pronoun T2 - Neuroscience Letters TI - An ERP study on the effect of self-relevant possessive pronoun VL - 480 ID - 2248 ER - TY - JOUR AU - O'Mara-Eves, Alison AU - Thomas, James AU - McNaught, John AU - Miwa, Makoto AU - Ananiadou, Sophia DA - 2015 DO - 10.1186/s13643-015-0031-5 J2 - Syst Rev L1 - internal-pdf://2084420925/13643_2015_Article_31.pdf LA - eng PY - 2015 SN - 2046-4053 2046-4053 SP - 59 ST - Erratum to: Using text mining for study identification in systematic reviews: a systematic review of current approaches T2 - Systematic reviews TI - Erratum to: Using text mining for study identification in systematic reviews: a systematic review of current approaches VL - 4 ID - 46 ER - TY - JOUR AB - Environmental Surveyor of Natural Product Diversity (eSNaPD) is a web-based bioinformatics and data aggregation platform that aids in the discovery of gene clusters encoding both novel natural products and new congeners of medicinally relevant natural products using (meta)genomic sequence data. Using PCR-generated sequence tags, the eSNaPD data-analysis pipeline profiles biosynthetic diversity hidden within (meta)genomes by comparing sequence tags to a reference data set of characterized gene clusters. Sample mapping, molecule discovery, library mapping, and new clade visualization modules facilitate the interrogation of large (meta)genomic sequence data sets for diverse downstream analyses, including, but not limited to, the identification of environments rich in untapped biosynthetic diversity, targeted molecule discovery efforts, and chemical ecology studies. eSNaPD is designed to generate a global atlas of biosynthetic diversity that can facilitate a systematic, sequence-based interrogation of nature's biosynthetic potential. AU - Reddy, Boojala Vijay B. AU - Milshteyn, Aleksandr AU - Charlop-Powers, Zachary AU - Brady, Sean F. DA - 2014/08/14/ DO - 10.1016/j.chembiol.2014.06.007 IS - 8 J2 - Chem Biol KW - *Metagenome Biological Products/chemistry/*metabolism Computational Biology/*methods DNA/genetics LA - eng PY - 2014 SN - 1879-1301 1074-5521 SP - 1023-1033 ST - eSNaPD: a versatile, web-based bioinformatics platform for surveying and mining natural product biosynthetic diversity from metagenomes T2 - Chemistry & biology TI - eSNaPD: a versatile, web-based bioinformatics platform for surveying and mining natural product biosynthetic diversity from metagenomes VL - 21 ID - 374 ER - TY - JOUR AB - Similarities among subsequences are typically regarded as categorical features of sequential data. We introduce an algorithm for capturing the relationships among similar, contiguous subsequences. Two time series are considered to be similar during a time interval if every contiguous subsequence of a predefined length satisfies the given similarity criterion. Our algorithm identifies patterns based on the similarity among sequences, captures the sequence-subsequence relationships among patterns in the form of a directed acyclic graph (DAG), and determines pattern conglomerates that allow the application of additional meta-analyses and mining algorithms. For example, our pattern conglomerates can be used to analyze time information that is lost in categorical representations. We apply our algorithm to stock market data as well as several other time series data sets and show the richness of our pattern conglomerates through qualitative and quantitative evaluations. An exemplary meta-analysis determines timing patterns representing relations between time series intervals and demonstrates the merit of pattern relationships as an extension of time series pattern mining. [All rights reserved Elsevier]. AU - Dorr, D. H. AU - Denton, A. M. DA - 2009/03// DO - 10.1016/j.datak.2008.10.001 IS - 3 J2 - Data & Knowledge Engineering KW - data mining directed graphs financial data processing pattern classification stock markets time series L1 - internal-pdf://0476564285/Dorr-2009-Establishing relationships among pat.pdf PY - 2009 SN - 0169-023X SP - 318-37 ST - Establishing relationships among patterns in stock market data T2 - Data & Knowledge Engineering TI - Establishing relationships among patterns in stock market data UR - http://dx.doi.org/10.1016/j.datak.2008.10.001 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0169023X08001341/1-s2.0-S0169023X08001341-main.pdf?_tid=dcccd8e4-8332-11e6-b913-00000aab0f01&acdnat=1474816695_7c4a65d8246bfbd031398048c1fe81ab VL - 68 ID - 1728 ER - TY - BOOK A3 - Kruse, G. H. A2 - Gallucci, V. F. A2 - Hay, D. E. A2 - Perry, R. I. A2 - Peterman, R. M. A2 - Shirley, T. C. A2 - Spencer, P. D. A2 - Wilson, B. A2 - Woodby, D. AB - One of the main limitations of fishery management is that many routine data collection efforts are outpaced by evolving analytical needs. Examples include area-based management measures such as fishing closures and marine protected areas that are emerging in the context of ecosystem-based management. Typically, data collection efforts were not designed to address spatial issues. In the absence of comprehensive observer coverage or vessel monitoring systems, this creates a motivation for reinterpreting old data in new, spatially explicit ways. In this paper, we present a pilot geospatial relational framework for mining and integrating existing data developed for the West Coast of the United States (Washington, Oregon, and California), and discuss its applications to fishery management in the context of area-based management alternatives such as the groundfish closures instituted in 2002. Mining a variety of ecological, fishery dependent, and fishery independent databases, we built an extensive relational database-the Ocean Communities "3 E" ANalysis (OCEAN) framework-which allows the user to jointly consider ecological, economic, and equity (hence "3 E") implications of marine management measures. We standardized the data, and conducted a meta-analysis on them, mapping trends over time and space in a geographic information system (GIS) that covers the length of the West Coast from Washington to California and covers the entire exclusive economic zone (EEZ). Using this framework, we analyzed various management scenarios in terms of their effects on habitat areas and types, economic activity on shore, and likely implications for the fishing industry. AU - Scholz, A. J. AU - Mertens, M. AU - Sohm, D. AU - Steinback, C. AU - Bellman, M. DA - 2005 PY - 2005 SN - 1-56612-093-4 ST - Estimating economic effects of fishery management measures using geospatial methods TI - Estimating economic effects of fishery management measures using geospatial methods VL - 21 ID - 1969 ER - TY - JOUR AU - Ghose, Anindya AU - Ipeirotis, Panagiotis G. DA - 2011 DP - Google Scholar IS - 10 PY - 2011 SP - 1498-1512 ST - Estimating the helpfulness and economic impact of product reviews T2 - IEEE Transactions on Knowledge and Data Engineering TI - Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5590249 http://ieeexplore.ieee.org/document/5590249/ VL - 23 Y2 - 2016/09/24/15:32:42 ID - 2310 ER - TY - JOUR AB - This paper introduces a new approach to landmine data analysis-an approach centered on probabilistic forecasts to support decision-making in the allocation of demining resources, relocation of refugees, or peacekeeping operations. We present an empirical Bayesian prediction model that takes available information about the land in question and gives an estimate of the probability that the land is mined. Necessary information includes examples of areas known to be mined, examples of areas known to be free of landmines, feature data (e.g., location of roads, vegetation, fighting lines), and an initial estimate of the overall mine density within the region. The model overcomes the inherent difficulty of modeling the distribution of minefields as a discrete random field through a hybrid raster-vector spatial representation. Dimensionality problems are overcome through use of the Meta-Gaussian distribution to estimate the joint likelihood functions required in the Bayesian model. Information gathered by the US Army in Bosnia provides real world data to test and evaluate the model. AU - Riese, Stephen R. AU - Brown, Donald E. AU - Haimes, Yacov Y. DA - 2006 IS - 3 PY - 2006 SN - 0275-5823 SP - 49-61 ST - Estimating the probability of landmine contamination T2 - Military Operations Research TI - Estimating the probability of landmine contamination VL - 11 ID - 2219 ER - TY - JOUR AB - Social media is a platform on which collaborative creative activities on the Web create new contents. This study proposes a method for estimating inheritance relationship between contents when we assumed that contents have inherited from some other contents in its parts or properties. We estimate this relationship by targeting Niconico, a typical video-sharing Website in Japan, because we found this relationship from various meta-data given to the video. We think that we can observe the culture formation that occurs in social media by accounting for inheritance relationship of contents. We also think that we can analyze the phenomenon that a piece of contents inspired another one in chain in social media by applying the visualized culture formation. First, we propose a reference graph that represents inheritance relation obtained by analyzing the description of videos. We investigate characteristic of the relationship using edges in this graph. We confirm that some contents in Niconico has inheritance relationship with other contents. We have found that relationship is classified into the following four types: (1) Remake: Creator remakes some other videos into high-quality sound or high definition. (2) Arrangement: Creator arranges some other videos in their favorite style. (3) Partially-used: Creator uses some other videos in its music or scene as materials. (4) Inspired: Creator refers to some other videos in its representation or technique. We also propose a method for estimating this relationship using tags and titles from videos. We conducted experiments to evaluate our method and attained F-value 0.444 when threshold value is 0.330. AU - Ohta, Hitoyoshi AU - Kobayashi, Akio AU - Masuyama, Shigeru DA - 2014 PY - 2014 SP - 191-196 ST - Estimation of Inheritance Relationship between Contents on Social Media - Case Study of Niconico as a video-sharing site T2 - 2014 International Conference of Advanced Informatics: Concept, Theory and Application (ICAICTA) TI - Estimation of Inheritance Relationship between Contents on Social Media - Case Study of Niconico as a video-sharing site ID - 2108 ER - TY - JOUR AB - In this article, we propose two methods for selection of meta parameter (C) in support vector regression. The proposed methods are robust because these are based on the robust statistical measures. The performance of the proposed parameter selection methods is evaluated in case of normal and non-normal distributed error variables. It is evaluated in the sense of prediction risk and mean square error of estimates of regression parameters for clean and outlier data. AU - Desai, S. S. AU - Kashid, D. N. DA - 2015 IS - 3 J2 - International Journal of Data Mining, Modelling and Management KW - data mining mean square error methods normal distribution Parameter estimation Regression Analysis Support Vector Machines PY - 2015 SN - 1759-1163 SP - 239-56 ST - Estimation of regression parameters using SVM with new methods for meta parameter T2 - International Journal of Data Mining, Modelling and Management TI - Estimation of regression parameters using SVM with new methods for meta parameter VL - 7 ID - 1637 ER - TY - JOUR AU - Goodman, Neville W. DA - 2003 DP - Google Scholar IS - 5 L1 - internal-pdf://0649785905/Goodman-2003-Ethics and evidence-based medicin.pdf PY - 2003 SP - 251-251 ST - Ethics and evidence-based medicine T2 - Journal of the Royal Society of Medicine TI - Ethics and evidence-based medicine: Fallibility and responsibility in clinical science UR - http://jrs.sagepub.com/content/96/5/251 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC539488/ https://www-ncbi-nlm-nih-gov.ezproxy.lib.vt.edu/pmc/articles/PMC539488/pdf/0960251.pdf VL - 96 Y2 - 2016/09/24/15:37:02 ID - 2352 ER - TY - CHAP A2 - Magnuson, J. A. A2 - Fu, P. C. AB - The use of powerful information technology tools in the practice of public health poses many interesting, difficult, and important ethical challenges. Under a modern, electronic standard of care, it can be as blameworthy not to apply such tools as it is to apply them inappropriately. Ethical guidelines can help public health scientists make sound decisions about what users and uses of IT are appropriate in public health. Even with these guidelines, however, there remain some gray areas, particularly with respect to maintaining the privacy and confidentiality of public health information. The power of modern IT tools renders obsolete some previously sacrosanct guidelines about maintaining privacy and confidentiality. Indeed, it may blur these distinctions to the point of complete conflation. It is therefore necessary for public health practitioners to exercise "progressive caution" in applying information technology to the practice of public health. Developments such as bioinformatics pose acute challenges to maintaining privacy and confidentiality, as does the use of powerful computing technology as support for decisions about interventions. Moreover, the completion of the map and sequence of the genome of humans (and other organisms) is a technological accelerant for public health ethics. New genetic technologies have spawned an emerging field - public health genomics-engaging the nature vs. nurture debate in new ways. Finally, the interests of ethics and sound public health practice collide in the application of such modern tools as meta-analysis and data mining to public health problems. Even the time-honored practice of using and publishing case studies in public health research presents challenges to maintaining confidentiality of information as the World Wide Web and other communication and education tools make it increasingly possible for readers to identify the individual(s) discussed in a case. AU - Goodman, Kenneth W. AU - Meslin, Eric M. PY - 2014 SN - 978-1-4471-4237-9 978-1-4471-4236-2 SP - 191-209 ST - Ethics, Information Technology, and Public Health: Duties and Challenges in Computational Epidemiology T2 - Public Health Informatics and Information Systems, 2nd Edition TI - Ethics, Information Technology, and Public Health: Duties and Challenges in Computational Epidemiology ID - 1959 ER - TY - JOUR AB - Study design:Review.Objectives:The aim is to highlight the epidemiology of spinal cord injuries (SCIs) in Sub-Saharan Africa in order to improve prevention strategies.Setting:University Hospitals Leuven, Belgium.Methods:Pubmed was searched over August and September 2010. A combination of the following MeSH-terms was used: 'Africa South of the Sahara', 'Spinal Cord Diseases', 'Paraplegia' and 'Spinal Cord Injuries'. Limits were set on articles published as from 1990. The World Health Organization database was also consulted.Results:We obtained 243 hits of which 13 articles were relevant to the case. These papers covered seven countries: Ethiopia, Ghana, Nigeria, Senegal, Sierra Leone, South Africa and Zimbabwe. In traumatic SCIs, motor vehicle accidents are the most frequent cause of injury followed by falling from a height and thirdly violence, being the most important cause of SCI in South Africa. In the Plateau State of Nigeria, collapsing tunnels in illegal mining are the most prevalent cause. For the non-traumatic SCIs, tuberculosis appeared to be the most important cause, followed by malignant illnesses. Human immunodeficiency virus (HIV) serology tests were only available in the article concerning Ethiopia. Relatively more men were involved in traumatic SCIs and the average age was higher in the non-traumatic than in the traumatic group.Conclusion:Although literature on the subject is scarce, prevention should focus on road-safety, tuberculosis and HIV. Standardized registration of SCI is needed for prevention and further research. The use of the current International SCI core data set should be encouraged worldwide as a uniform classification method. AN - 104610865. Language: English. Entry Date: 20111229. Revision Date: 20150711. Publication Type: Journal Article AU - Draulans, N. AU - Kiekens, C. AU - Roels, E. AU - Peers, K. DA - 2011/12// DB - c8h DO - 10.1038/sc.2011.93 DP - EBSCOhost IS - 12 J2 - Spinal Cord KW - Africa South of the Sahara Incidence Mandatory Reporting Prevalence PubMed Spinal Cord Injuries -- Classification Spinal Cord Injuries -- Epidemiology -- Africa South of the Sahara Spinal Cord Injuries -- Etiology Spinal Cord Injuries -- Prevention and Control Systematic review Trauma -- Complications L1 - internal-pdf://0305197314/Draulans-2011-Etiology of spinal cord injuries.pdf N1 - research; systematic review; tables/charts. Journal Subset: Allied Health; Biomedical; Europe; Expert Peer Reviewed; Peer Reviewed; UK & Ireland. Special Interest: Evidence-Based Practice; Physical Therapy. NLM UID: 9609749. PY - 2011 SN - 1362-4393 SP - 1148-1154 ST - Etiology of spinal cord injuries in Sub-Saharan Africa T2 - Spinal Cord TI - Etiology of spinal cord injuries in Sub-Saharan Africa UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=104610865&scope=site http://www.nature.com/sc/journal/v49/n12/pdf/sc201193a.pdf VL - 49 ID - 408 ER - TY - CONF AB - According to the actual requirements of the drilling data warehouse, this paper analyses the weaknesses of traditional Extract, Transform and Load (ETL) tools' architecture of its openness and repeatedly development, and proposed a three-layers-architecture based on metadata. That makes ETL process more efficient, multipurpose and flexible. Through intensive studies of ETL theory, the drilling data warehouse ETL tools were designed and implemented. AU - Li, Jian AU - Xu, Bihua C3 - 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2010), 10-12 Aug. 2010 DA - 2010 DO - 10.1109/FSKD.2010.5569836 KW - data mining Data warehouses meta data oil drilling production engineering computing PB - IEEE PY - 2010 SP - 2567-9 ST - ETL tool research and implementation based on drilling data warehouse T3 - 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2010) TI - ETL tool research and implementation based on drilling data warehouse UR - http://dx.doi.org/10.1109/FSKD.2010.5569836 VL - vol.6 ID - 1106 ER - TY - CONF AB - The proceedings contain 84 papers. The topics discussed include: fault analysis in OSS based on program slicing metrics; evaluating quality of open source components for reuse-intensive commercial solutions; fault-tolerant BPEL workflow execution via cloud-aware recovery policies; exercise generation by group models for autonomous web-based learning; LocaRhythms: real-time data mining for continuous detection and prediction of stays; feature diagrams and their transformations: an extensible meta-model; enabling model-driven schedulability analysis in the development of distributed component-based real-time applications; experiences and results from establishing a software cockpit at BMD Systemhaus; implementation of a software quality improvement project in an SME: a before and after comparison; a simulation framework to support software project (Re) planning; and bootstrap prediction intervals for a semi-parametric software cost estimation model. C3 - EUROMICRO2009 - 35th EUROMICRO Conference on Software Engineering and Advanced Applications, SEAA 2009, August 27, 2009 - August 29, 2009 DA - 2009 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2009 SN - 10896503 ST - EUROMICRO2009 - Proceedings of the 35th EUROMICRO Conference on Software Engineering and Advanced Applications, SEAA 2009 T3 - Conference Proceedings of the EUROMICRO TI - EUROMICRO2009 - Proceedings of the 35th EUROMICRO Conference on Software Engineering and Advanced Applications, SEAA 2009 ID - 606 ER - TY - CONF AB - Classification of rare events has many important data mining applications. Boosting is a promising meta-technique that improves the classification performance of any weak classifier. So far, no systematic study has been conducted to evaluate how boosting performs for the task of mining rare classes. The authors evaluate three existing categories of boosting algorithms from the single viewpoint of how they update the example weights in each iteration, and discuss their possible effect on recall and precision of the rare class. We propose enhanced algorithms in two of the categories, and justify their choice of weight updating parameters theoretically. Using some specially designed synthetic datasets, we compare the capability of all the algorithms from the rare class perspective. The results support our qualitative analysis, and also indicate that our enhancements bring an extra capability for achieving better balance between recall and precision in mining rare classes. AU - Joshi, M. V. AU - Kumar, V. AU - Agarwal, R. C. C3 - Proceedings 2001 IEEE International Conference on Data Mining, 29 Nov.-2 Dec. 2001 DA - 2001 DO - 10.1109/ICDM.2001.989527 KW - Database management systems data mining learning (artificial intelligence) pattern classification PB - IEEE Comput. Soc. PY - 2001 SP - 257-64 ST - Evaluating boosting algorithms to classify rare classes: comparison and improvements T3 - Proceedings 2001 IEEE International Conference on Data Mining TI - Evaluating boosting algorithms to classify rare classes: comparison and improvements UR - http://dx.doi.org/10.1109/ICDM.2001.989527 https://www.computer.org/csdl/proceedings/icdm/2001/1119/00/11190257-abs.html ID - 1439 ER - TY - JOUR AB - Molecular dynamics simulations provide a sample of a molecule's conformational space. Experiments on the ms time scale, resulting in large amounts of data, are nowadays routine. Data mining techniques such as classification provide a way to analyse such data. In this work, we evaluate and compare several classification algorithms using three data sets which resulted from computer simulations, of a potential enzyme mimetic biomolecule. We evaluated 65 classifiers available in the well-known data mining toolkit Weka, using `classification' errors to assess algorithmic performance. Results suggest that: (i) `meta' classifiers perform better than the other groups, when applied to molecular dynamics data sets; (ii) Random Forest and Rotation Forest are the best classifiers for all three data sets; and (iii) classification via clustering yields the highest classification error. Our findings are consistent with bibliographic evidence, suggesting a `roadmap' for dealing with such data. AU - Tatsis, V. A. AU - Tjortjis, C. AU - Tzirakis, P. DA - 2013 IS - 2 J2 - International Journal of Data Mining and Bioinformatics KW - biology computing data analysis data mining Enzymes molecular biophysics pattern classification PY - 2013 SN - 1748-5673 SP - 169-87 ST - Evaluating data mining algorithms using molecular dynamics trajectories T2 - International Journal of Data Mining and Bioinformatics TI - Evaluating data mining algorithms using molecular dynamics trajectories VL - 8 ID - 1842 ER - TY - CONF AB - The application of various clustering techniques for large-scale gene-expression measurement experiments is an established method in bioinformatics. Clustering is also usually accompanied by functional characterization of gene sets by assessing statistical enrichments of structured vocabularies, such as the Gene Ontology (GO) [1]. If different cluster sets are generated for correlated experiments, a machine learning step termed cluster meta-analysis may be performed, in order to discover relations among the components of such sets. Several approaches have been proposed for this step: in particular, kernel methods may be used to exploit the graphical structure of typical ontologies such as GO. Following up the formulation of such approach, in this paper we present and discuss further results about its applicability and its performance, always in the context of the well known Spellman's Yeast Cell Cycle dataset. AU - Merico, D. AU - Zoppis, I. AU - Antoniotti, M. AU - Mauri, G. C3 - Knowledge-Based Intelligent Information and Engineering Systems: KES 2007-WIRN 2007. 11th International Conference, KES 2007, 12-14 Sept. 2007 DA - 2007 KW - biology computing data mining Genetics Graph theory learning (artificial intelligence) ontologies (artificial intelligence) pattern clustering PB - Springer-Verlag PY - 2007 SP - 892-900 ST - Evaluating graph kernel methods for relation discovery in GO-annotated clusters T3 - Knowledge-Based Intelligent Information and Engineering Systems: KES 2007-WIRN 2007. 11th International Conference, KES 2007 TI - Evaluating graph kernel methods for relation discovery in GO-annotated clusters ID - 1034 ER - TY - CONF AB - Finding the best learning strategy for a new domain/problem can prove to be an expensive and time consuming process even for the experienced analysts. This paper presents several enhancements to a meta learning framework we have previously designed and implemented. Its main goal is to automatically identify the most reliable learning schemes for a particular problem, based on the knowledge acquired about existing data sets, while minimizing the work done by the user but still offering flexibility. The main enhancements proposed here refer to the addition of several classifier performance metrics, including two original metrics, for widening the evaluation criteria, the addition of several new benchmark data sets for improving the outcome of the neighbor estimation step, and the integration of complex prediction strategies. Systematic evaluations have been performed to validate the new context of the framework. The analysis of the results revealed new research perspectives in the meta-learning area. AU - Cacoveanu, S. AU - Vidrighin, C. AU - Potolea, R. C3 - ICEIS2010. 12th International Conference on Enterprise Information Systems, 8-12 June 2010 DA - 2010 KW - data mining metacomputing pattern classification prediction theory ubiquitous computing PB - INSTICC PY - 2010 SP - 148-56 ST - Evaluating prediction strategies in an enhanced meta-learning framework T3 - ICEIS2010. Proceedings of the 12th International Conference on Enterprise Information Systems TI - Evaluating prediction strategies in an enhanced meta-learning framework VL - vol.2 ID - 1650 ER - TY - JOUR AB - BACKGROUND: In propensity score modeling, it is a standard practice to optimize the prediction of exposure status based on the covariate information. In a simulation study, we examined in what situations analyses based on various types of exposure propensity score (EPS) models using data mining techniques such as recursive partitioning (RP) and neural networks (NN) produce unbiased and/or efficient results. METHOD: We simulated data for a hypothetical cohort study (n = 2000) with a binary exposure/outcome and 10 binary/continuous covariates with seven scenarios differing by non-linear and/or non-additive associations between exposure and covariates. EPS models used logistic regression (LR) (all possible main effects), RP1 (without pruning), RP2 (with pruning), and NN. We calculated c-statistics (C), standard errors (SE), and bias of exposure-effect estimates from outcome models for the PS-matched dataset. RESULTS: Data mining techniques yielded higher C than LR (mean: NN, 0.86; RPI, 0.79; RP2, 0.72; and LR, 0.76). SE tended to be greater in models with higher C. Overall bias was small for each strategy, although NN estimates tended to be the least biased. C was not correlated with the magnitude of bias (correlation coefficient [COR] = -0.3, p = 0.1) but increased SE (COR = 0.7, p < 0.001). CONCLUSIONS: Effect estimates from EPS models by simple LR were generally robust. NN models generally provided the least numerically biased estimates. C was not associated with the magnitude of bias but was with the increased SE. AU - Setoguchi, Soko AU - Schneeweiss, Sebastian AU - Brookhart, M. Alan AU - Glynn, Robert J. AU - Cook, E. Francis DA - 2008/06//undefined DO - 10.1002/pds.1555 IS - 6 J2 - Pharmacoepidemiol Drug Saf KW - *Bias (Epidemiology) *Data Interpretation, Statistical Cohort Studies Computer Simulation Confounding Factors (Epidemiology) Humans Logistic Models Monte Carlo Method Neural Networks (Computer) Pharmacoepidemiology/*methods LA - eng PY - 2008 SN - 1099-1557 1053-8569 SP - 546-555 ST - Evaluating uses of data mining techniques in propensity score estimation: a simulation study T2 - Pharmacoepidemiology and drug safety TI - Evaluating uses of data mining techniques in propensity score estimation: a simulation study VL - 17 ID - 363 ER - TY - JOUR AB - In order to solve the problem that it is hard for extension theory to differentiate weight when it is applied on rock burst intensity, the Dempster rule of evidence theory is introduced to extension model. Dempster rule calculates subjective weight and improved entropy method to get entropy weight and make synthesis to ensure the rationality of weight determination. The three factors, respectively ratio of maximum shear stress and compressive strength of rock mass /c, ratio of compressive strength c/t,and extension strengthctss, and elastic energy index Wet, are selected to build determination and evaluation matter-element model of rock burst intensity based on evidence theory. With the help of mat lab language and programming module, intelligent, accurate and high precise evaluation of rock burst intensity finally comes true. In the end, through the case study on rock burst intensity of Mount Donggua copper mine and Maluping deep buried hard rock mining area, it shows that criterion and evaluation results of the model are consistent with actual engineering, which is a feasible method. 2015 ejge. AU - Qiang, Yue AU - Li, Li AU - Li, Shao-Hong DA - 2015 IS - 25 J2 - Electronic Journal of Geotechnical Engineering KW - Compressive strength Copper mines Rock bursts Rocks Shear stress N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 10893032 SP - 12791-12800 ST - Evaluation and application of rock burst intensity of composition meta-model based on improved evidence theory T2 - Electronic Journal of Geotechnical Engineering TI - Evaluation and application of rock burst intensity of composition meta-model based on improved evidence theory VL - 20 ID - 1217 ER - TY - JOUR AB - With the rapid development of computer science and technology, data mining modelling techniques have emerged and rapidly developed as an alternative powerful meta-learning tool to accurately and fast analyze the massive volume of data generated by modern applications. The combination of data analysis technique and evaluation of public servant execution is urgently needed. Improve the execution of public servants at the grass-roots level is one of the important link to strengthen the construction of authority administrative efficiency of administrative goals is very important. Enhance the execution must first cultivate advanced concept, armed with advanced execution concept to the vast number of public servants at the grass-roots level. The assessment of public execution has a lot of traditional methods and models can be used but there is limitation. The limitation could be concluded as the following. Carelessness or poor sensitivity, At the grassroots level, the implementation of the main body of the general public servants at the grass-roots level and they can perform in place, one of the important factor is whether the leader on the work division of labor, organization, management and supervision effectively. In this paper, we conduct research on evaluation of public servant execution based on data mining technique and joint modeling analysis of multiple factors under big data environment. Firstly, we introduce some state-of-the-art clustering algorithm to serve as the basis of our model. Combined with deep neural network and optimization modelling, we propose our support vector machine based data clustering algorithm through multiple factor modelling. Subsequently, we discuss the principles on evaluation of public servant execution and process management. In the experimental part, we conduct experiment on both data clustering based data pre-processing step and the evaluation of elements' weight for process management. The result indicates the most important factor for management and the feasibility and effectiveness of our proposed clustering method. Future potential research areas are also discussed in the final Section. 2016 SERSC. AU - Du, Yang AU - Chen, Wenbin AU - Cheng, Di DA - 2016 DO - 10.14257/ijdta.2016.9.1.03 IS - 1 J2 - International Journal of Database Theory and Application KW - Big data Cluster Analysis Clustering algorithms data handling data mining Factor analysis Optimization L1 - internal-pdf://3415373266/Du-2016-Evaluation of public servant execution.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 20054270 SP - 23-34 ST - Evaluation of public servant execution based on data mining technique and multiple factors joint modeling analysis T2 - International Journal of Database Theory and Application TI - Evaluation of public servant execution based on data mining technique and multiple factors joint modeling analysis UR - http://dx.doi.org/10.14257/ijdta.2016.9.1.03 VL - 9 ID - 1700 ER - TY - JOUR AB - Early detection and diagnosis of breast disease can improve the treatment effectiveness. Breast cancer is the second most common cancer for women. It is the second largest cause of cancer death worldwide. Annually, approximately more than 1,700,000 women worldwide are detected due to this disease. The prevalence of approximately 2% annual increased. Breast cancer involves several risk factors, some of which are proven but some still have controversial reported results and some are almost rejected. Sometimes factors such as maternal age at first birth, age at marriage and number of children have been recognized as risk factors, and sometimes as protective measures. In this paper we proposed a model that can predict the likelihood in developing a breast cancer. We modeled 7 different risk factors and their impact factors or their weighting using the data from Breast Cancer Surveillance Consortium (BCSC) in National Cancer Institute. We discovered the latent knowledge and generated new information by applying data mining techniques. Expectation Maximization (EM) algorithm was applied, data clustering was accomplished and the correlation of different risk factors was discovered. By analyzing our discovered information, we presented a novel formula to determine the probability in developing breast cancer and by using the proposed novel formula 98.6% accuracy was acquired. AU - Etehadtavakol, Mahnaz AU - Ettefagh, Mahdi Hemmasian AU - Ng, E. Y. K. DA - 2016/06// DO - 10.1166/jmihi.2016.1745 IS - 3 PY - 2016 SN - 2156-7018 SP - 753-758 ST - Evaluation of Risk Factors in Developing Breast Cancer with Expectation Maximization Algorithm in Data Mining Techniques T2 - Journal of Medical Imaging and Health Informatics TI - Evaluation of Risk Factors in Developing Breast Cancer with Expectation Maximization Algorithm in Data Mining Techniques VL - 6 ID - 2023 ER - TY - JOUR AB - In the proposed study, non-linear behavioral patterns in the seismic regime for earthquakes in the Himalayan basin have been studied using a complete, verified EQ catalogue comprised of all major events and their aftershock sequences in the Himalayan basin for the past 110 years [1900-2010]. The dataset has been analyzed to give better decision making criteria for impending earthquakes. A series of statistical tests based on multi-dimensional rigorous statistical studies, inter-event distance analyses, and statistical time analyses have been used to obtain correlation dimensions. The time intervals of earthquakes within a seismic regime have been used to train the neural network to analyze the nature of earthquake patterns in the different clusters. The results obtained from descriptive statistics show high correlation with previously conducted gravity studies and radon anomaly variation. A study of the time of recurrence of the numerical properties of the regime for 60 years from 1950 to 2010 for the Himalayan belt for analysis of significant EQ failure events has been done to find the best fit for an empirical data probability distribution. The distribution of waiting time of swarm events occurring in the Himalayan basin follows a power-law model, while independent events do not fit the power-law distribution. This suggests that probability of the occurrence of swarm events [M &le 6.0] with frequent shaking may be more frequent than that of the occurrence of independent events of magnitude [M 6.0] in the Himalayan belt. We propose a three-layer feed forward neural network model to identify factors, with the actual occurrence of the maximum earthquake level M as input and target vectors in Himalayan basin area. We infer through a series of statistical results and evaluations that probabilistic forecasting of earthquakes can be achieved by finding the meta-stable cluster zones of the Himalayan clusters for the spatio-temporal distribution of earthquakes in the area. 2013 Versita Warsaw and Springer-Verlag Wien. AU - Dutta, Pushan Kumar AU - Mishra, O. P. AU - Naskar, Mrinal Kanti DA - 2013 DO - 10.2478/s13533-012-0127-6 IS - 2 J2 - Central European Journal of Geosciences KW - Earthquakes Probability distributions Time series analysis L1 - internal-pdf://1304811783/Dutta-2013-Evaluation of seismogenesis behavio.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 20819900 SP - 236-253 ST - Evaluation of seismogenesis behavior in Himalayan belt using data mining tools for forecasting T2 - Central European Journal of Geosciences TI - Evaluation of seismogenesis behavior in Himalayan belt using data mining tools for forecasting UR - http://dx.doi.org/10.2478/s13533-012-0127-6 http://www.degruyter.com/downloadpdf/j/geo.2013.5.issue-2/s13533-012-0127-6/s13533-012-0127-6.xml VL - 5 ID - 1717 ER - TY - JOUR AB - BACKGROUND: The Food and Drug Administration (FDA) and pharmaceutical manufacturers conduct most postmarketing pharmaceutical safety investigations. These efforts are frequently based on data mining of databases. In 1998, investigators initiated the Research on Adverse Drug events And Reports (RADAR) project to investigate reports of serious adverse drug reactions (ADRs) and prospectively obtain information on these cases. We compare safety efforts for evaluating serious ADRs conducted by the FDA and pharmaceutical manufacturers vs the RADAR project. METHODS: We evaluated the completeness of serious ADR descriptions in the FDA and RADAR databases and the comprehensiveness of notifications disseminated by pharmaceutical manufacturers and the RADAR investigators. A serious ADR was defined as an event that led to death or required intensive therapies to reverse. RESULTS: The RADAR investigators evaluated 16 serious ADRs. Compared with descriptions of these ADRs in FDA databases (2296 reports), reports in RADAR databases (472 reports) had a 2-fold higher rate of including information on history and physical examination (92% vs 45%; P<.001) and a 9-fold higher rate of including basic science findings (34% vs 4%; P = .08). Safety notifications were disseminated earlier by pharmaceutical suppliers (2 vs 4 years after approval, respectively), although notifications were less likely to include information on incidence (46% vs 93%; P = .02), outcomes (8% vs 100%; P<.001), treatment or prophylaxis (25% vs 93%; P<.001), or references (8% vs 80%; P<.001). CONCLUSION: Proactive safety efforts conducted by the RADAR investigators are more comprehensive than those conducted by the FDA and pharmaceutical manufacturers, but dissemination of related safety notifications is less timely. AU - Bennett, Charles L. AU - Nebeker, Jonathan R. AU - Yarnold, Paul R. AU - Tigue, Cara C. AU - Dorr, David A. AU - McKoy, June M. AU - Edwards, Beatrice J. AU - Hurdle, John F. AU - West, Dennis P. AU - Lau, Denys T. AU - Angelotta, Cara AU - Weitzman, Sigmund A. AU - Belknap, Steven M. AU - Djulbegovic, Benjamin AU - Tallman, Martin S. AU - Kuzel, Timothy M. AU - Benson, Al B. AU - Evens, Andrew AU - Trifilio, Steven M. AU - Courtney, D. Mark AU - Raisch, Dennis W. DA - 2007/05/28/ DO - 10.1001/archinte.167.10.1041 IS - 10 J2 - Arch Intern Med KW - *Drug Industry *Drug-Related Side Effects and Adverse Reactions *United States Food and Drug Administration Databases, Factual Humans Information Dissemination Product Surveillance, Postmarketing/*methods Prospective studies United States L1 - internal-pdf://1776808933/Bennett-2007-Evaluation of serious adverse dru.pdf LA - eng PY - 2007 SN - 0003-9926 0003-9926 SP - 1041-1049 ST - Evaluation of serious adverse drug reactions: a proactive pharmacovigilance program (RADAR) vs safety activities conducted by the Food and Drug Administration and pharmaceutical manufacturers T2 - Archives of internal medicine TI - Evaluation of serious adverse drug reactions: a proactive pharmacovigilance program (RADAR) vs safety activities conducted by the Food and Drug Administration and pharmaceutical manufacturers UR - http://archinte.jamanetwork.com.ezproxy.lib.vt.edu/data/Journals/INTEMED/5593/ioi70027_1041_1049.pdf VL - 167 ID - 365 ER - TY - CONF AB - Monte-Carlo Tree Search (MCTS) is a best-first search where the pseudorandom simulations guide the solution of problem. Recent improvements on MCTS have produced strong computer Go program, which has a large search space, and the success is a hot topic for selecting the best move. So far, most of reports about MCTS have been on twoplayer game, and MCTS has been applied rarely in one-player games. MCTS does not need an admissible heuristic, so the application of MCTS for oneplayer games might be an interesting alternative. Additionally, one-player games changed its situation by player's decision like puzzles are describable as network diagrams like PERT with the representation of interdependences between each operation. Therefore if MCTS for one-player games is developed as a metaheuristic algorithm, we would use this for not only many practical problems, but also combinatorial optimization problems. This paper investigated the application of Single Player MCTS (SP-MCTS) introduced by Schadd et al. to a puzzle game called Bubble Breaker. Next this paper showed the effectiveness of new simulation strategies on SP-MCTS by numerical experiments, and found the differences between the search methods and their parameters. Based on the results, this paper discussed the application potentiality of SP-MCTS for a practical scheduling problem. AU - Matsumoto, Shimpei AU - Hirosue, Noriaki AU - Itonaga, Kyohei AU - Yokoo, Kazuma AU - Futahashiz, Hisatomo C3 - International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010, March 17, 2010 - March 19, 2010 DA - 2010 KW - Combinatorial optimization Critical path analysis Engineers Numerical methods PERT N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Newswood Ltd. PY - 2010 SP - 2086-2091 ST - Evaluation of simulation strategy on Single-Player Monte-Carlo Tree search and its discussion for a practical scheduling problem T3 - Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 TI - Evaluation of simulation strategy on Single-Player Monte-Carlo Tree search and its discussion for a practical scheduling problem ID - 837 ER - TY - JOUR AB - The Piranshahr-Sardasht-Saqqez Zone (PSSZ) in the north-west of the Sanandaj-Sirjan metamorphic zone (SSZ) hosts some major Iranian gold deposits. In the south-east of PSSZ, there is a north-east trending orogenic gold belt which contains three gold deposits/occurrences (Qolqoleh, Kervian and Ghabaghloujeh). In this research, studies are focused on processing and analysing airborne magnetic and radiometric data in order to find applicable indicators for prospecting gold in this area. Former studies on the gold deposits/occurrences in the study area suggest three essential factors in local orogenic gold mineralisation: (1) intersecting deep bending structures/shear zones, (2) Fe-rich mafic meta-volcanic lithologies (primary source and host rocks) and (3) altered mylonitic granites (secondary host rock). Geological structures and lithological contacts can be mapped based on locating edges in the magnetic field at different depths. In this study, we extracted the structure from aeromagnetic data by reduction to the pole, upward continuation and applying a tilt derivative filter to the horizontal derivative of the upward continued data. Upward continuation was to several levels from 500 to 4000m. Afterwards, a 3D architecture was built based on extracted subsurface lineaments in different levels. This 3D model can assist in the visualisation of the underground shape of structures that may influence gold mineralisation. Moreover, mafic meta-volcanic rocks in the study area, which contain magnetic minerals such as magnetite, titanomagnetite and ilmenite, can be mapped using aeromagnetic data. Mylonitic granites, which are the other host rock in the deposits, were mapped using airborne radiometric data. AU - Almasi, Alireza AU - Jafarirad, Alireza AU - Kheyrollahi, Hasan AU - Rahimi, Mana AU - Afzal, Peyman DA - 2014 DO - 10.1071/EG13053 IS - 4 J2 - Exploration Geophysics KW - Deposits Filtration Geophysics Gold Gold deposits Granite Lithology Mineral exploration Mineralogy Radiometry Rocks Structural geology Volcanic rocks Volcanoes N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 08123985 SP - 261-270 ST - Evaluation of structural and geological factors in orogenic gold type mineralisation in the Kervian area, North-West Iran, using airborne geophysical data T2 - Exploration Geophysics TI - Evaluation of structural and geological factors in orogenic gold type mineralisation in the Kervian area, North-West Iran, using airborne geophysical data UR - http://dx.doi.org/10.1071/EG13053 http://www.publish.csiro.au/?paper=EG13053 VL - 45 ID - 472 ER - TY - JOUR AB - BACKGROUND: Diabetes is a major threat to public health in the United States and worldwide. Understanding the role of environmental chemicals in the development or progression of diabetes is an emerging issue in environmental health. OBJECTIVE: We assessed the epidemiologic literature for evidence of associations between persistent organic pollutants (POPs) and type 2 diabetes. METHODS: Using a PubMed search and reference lists from relevant studies or review articles, we identified 72 epidemiological studies that investigated associations of persistent organic pollutants (POPs) with diabetes. We evaluated these studies for consistency, strengths and weaknesses of study design (including power and statistical methods), clinical diagnosis, exposure assessment, study population characteristics, and identification of data gaps and areas for future research. CONCLUSIONS: Heterogeneity of the studies precluded conducting a meta-analysis, but the overall evidence is sufficient for a positive association of some organochlorine POPs with type 2 diabetes. Collectively, these data are not sufficient to establish causality. Initial data mining revealed that the strongest positive correlation of diabetes with POPs occurred with organochlorine compounds, such as trans-nonachlor, dichlorodiphenyldichloroethylene (DDE), polychlorinated biphenyls (PCBs), and dioxins and dioxin-like chemicals. There is less indication of an association between other nonorganochlorine POPs, such as perfluoroalkyl acids and brominated compounds, and type 2 diabetes. Experimental data are needed to confirm the causality of these POPs, which will shed new light on the pathogenesis of diabetes. This new information should be considered by governmental bodies involved in the regulation of environmental contaminants. AU - Taylor, Kyla W. AU - Novak, Raymond F. AU - Anderson, Henry A. AU - Birnbaum, Linda S. AU - Blystone, Chad AU - DeVito, Michael AU - Jacobs, David AU - Koehrle, Josef AU - Lee, Duk-Hee AU - Rylander, Lars AU - Rignell-Hydbom, Anna AU - Tornero-Velez, Rogelio AU - Turyk, Mary E. AU - Boyles, Abee L. AU - Thayer, Kristina A. AU - Lind, Lars DA - 2013/07// DO - 10.1289/ehp.1205502 IS - 7 PY - 2013 SN - 0091-6765 SP - 774-783 ST - Evaluation of the Association between Persistent Organic Pollutants (POPs) and Diabetes in Epidemiological Studies: A National Toxicology Program Workshop Review T2 - Environmental Health Perspectives TI - Evaluation of the Association between Persistent Organic Pollutants (POPs) and Diabetes in Epidemiological Studies: A National Toxicology Program Workshop Review VL - 121 ID - 1964 ER - TY - JOUR AB - BACKGROUND: Diabetes is a major threat to public health in the United States and worldwide. Understanding the role of environmental chemicals in the development or progression of diabetes is an emerging issue in environmental health. OBJECTIVE: We assessed the epidemiologic literature for evidence of associations between persistent organic pollutants (POPs) and type 2 diabetes. METHODS: Using a PubMed search and reference lists from relevant studies or review articles, we identified 72 epidemiological studies that investigated associations of persistent organic pollutants (POPs) with diabetes. We evaluated these studies for consistency, strengths and weaknesses of study design (including power and statistical methods), clinical diagnosis, exposure assessment, study population characteristics, and identification of data gaps and areas for future research. CONCLUSIONS: Heterogeneity of the studies precluded conducting a meta-analysis, but the overall evidence is sufficient for a positive association of some organochlorine POPs with type 2 diabetes. Collectively, these data are not sufficient to establish causality. Initial data mining revealed that the strongest positive correlation of diabetes with POPs occurred with organochlorine compounds, such as trans-nonachlor, dichlorodiphenyldichloroethylene (DDE), polychlorinated biphenyls (PCBs), and dioxins and dioxin-like chemicals. There is less indication of an association between other nonorganochlorine POPs, such as perfluoroalkyl acids and brominated compounds, and type 2 diabetes. Experimental data are needed to confirm the causality of these POPs, which will shed new light on the pathogenesis of diabetes. This new information should be considered by governmental bodies involved in the regulation of environmental contaminants. AU - Taylor, Kyla W. AU - Novak, Raymond F. AU - Anderson, Henry A. AU - Birnbaum, Linda S. AU - Blystone, Chad AU - Devito, Michael AU - Jacobs, David AU - Kohrle, Josef AU - Lee, Duk-Hee AU - Rylander, Lars AU - Rignell-Hydbom, Anna AU - Tornero-Velez, Rogelio AU - Turyk, Mary E. AU - Boyles, Abee L. AU - Thayer, Kristina A. AU - Lind, Lars DA - 2013/07//undefined DO - 10.1289/ehp.1205502 IS - 7 J2 - Environ Health Perspect KW - *Environmental Exposure Animals Diabetes Mellitus, Type 2/chemically induced/*epidemiology Environmental Pollutants/analysis/*toxicity Humans Hydrocarbons, Chlorinated/analysis/toxicity Mice Obesity/chemically induced/epidemiology Rats LA - eng PY - 2013 SN - 1552-9924 0091-6765 SP - 774-783 ST - Evaluation of the association between persistent organic pollutants (POPs) and diabetes in epidemiological studies: a national toxicology program workshop review T2 - Environmental health perspectives TI - Evaluation of the association between persistent organic pollutants (POPs) and diabetes in epidemiological studies: a national toxicology program workshop review VL - 121 ID - 245 ER - TY - JOUR AB - OBJECTIVES: This meta-analysis was performed to evaluate the efficacy of potassium nitrate and sodium fluoride as desensitizing agents during tooth bleaching treatment. DATA, SOURCES AND STUDY SELECTION: An electronic systematic literature search was conducted in Cochrane Center Register of Controlled Trials, MEDLINE (PubMed) and EmBase in April, 2014 in English and without time restrictions. Study information extraction and methodological quality assessments were accomplished by two reviewers independently. Methodological quality was assessed by using the "Criteria for judging risk of bias in the 'Risk of bias' assessment tool". Dichotomous data was summarized by odds ratio (OR) with 95% confidence interval (CI) and continuous data was summarized by mean difference (MD) or standardised mean difference (SMD) with 95% confidence interval (CI). Statistical analyses were carried out by using Review Manager 5.2. For evaluation of percent of patients experiencing tooth sensitivity (POTS), the pooled OR of desensitizers vs. placebo was 0.45 (95% CI: 0.28-0.73, P=0.29). The pooled SMD of desensitizers vs. placebo was -0.47 (95% CI: -0.77 to -0.18, P=0.13) in evaluation of level of tooth sensitivity (LOTS). The results of shade evaluation remained inconsistent by evaluating subjective shade guide unit difference (DeltaSGU or SGU) and objective colour difference (DeltaE). CONCLUSIONS: This meta-analysis was performed to evaluate the efficacy of desensitizing agents, potassium nitrate and sodium fluoride, for tooth bleaching treatments. Potassium nitrate and sodium fluoride reduce tooth sensitivity while no consistent conclusion of tooth colour change was found. CLINICAL SIGNIFICANCE: Tooth sensitivity is a typical side effect associated with tooth bleaching procedures. Potassium nitrate and sodium fluoride are used widely to treat tooth sensitivity. This meta-analysis was performed to evaluate the efficacy of potassium nitrate and sodium fluoride as desensitizing agents during tooth bleaching treatment. AU - Wang, Yining AU - Gao, Jinxia AU - Jiang, Tao AU - Liang, Shanshan AU - Zhou, Yi AU - Matis, Bruce A. DA - 2015/08//undefined DO - 10.1016/j.jdent.2015.03.015 IS - 8 J2 - J Dent KW - At-home bleaching Carbamide peroxide Desensitizing Hydrogen peroxide In-office bleaching Potassium nitrate Tooth bleaching Tooth sensitivity LA - eng PY - 2015 SN - 1879-176X 0300-5712 SP - 913-923 ST - Evaluation of the efficacy of potassium nitrate and sodium fluoride as desensitizing agents during tooth bleaching treatment-A systematic review and meta-analysis T2 - Journal of dentistry TI - Evaluation of the efficacy of potassium nitrate and sodium fluoride as desensitizing agents during tooth bleaching treatment-A systematic review and meta-analysis VL - 43 ID - 19 ER - TY - JOUR AU - Ananiadou, Sophia AU - Pyysalo, Sampo AU - Tsujii, Jun’ichi AU - Kell, Douglas B. DA - 2010 DP - Google Scholar IS - 7 L1 - https://www.researchgate.net/profile/Junichi_Tsujii/publication/224890571_Event_extraction_for_systems_biology_by_text_mining_the_literature/links/00b4953745a1c10e39000000.pdf internal-pdf://1687926652/Ananiadou-2010-Event extraction for systems bi.pdf PY - 2010 SP - 381-390 ST - Event extraction for systems biology by text mining the literature T2 - Trends in biotechnology TI - Event extraction for systems biology by text mining the literature UR - http://www.sciencedirect.com/science/article/pii/S0167779910000727 https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.cell.com%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLFhx%252B6Ws3Nrug%253D%253D%26MAID%3DOBX2yIAL1lB%252B3WidZgMn4A%253D%253D%26JSESSIONID%3Daaaurexfc8qwsdODgmwDv%26ORIGIN%3D623412053%26RD%3DRD&acw=&utt= http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0167779910000727/1-s2.0-S0167779910000727-main.pdf?_tid=a44e2e06-832c-11e6-932e-00000aacb362&acdnat=1474814024_48f70f76b1f35edb270181d4a83806f6 VL - 28 Y2 - 2016/09/24/15:34:52 ID - 2329 ER - TY - JOUR AB - Events are real-world occurrences that unfold over space and time. Event mining from multimedia streams improves the access and reuse of large media collections, and it has been an active area of research with notable progress. This paper contains a survey on the problems and solutions in event mining, approached from three aspects: event description, event-modeling components, and current event mining systems. We present a general characterization of multimedia events, motivated by the maxim of five Ws and one H for reporting real-world events in journalism: when, where, who, what, why, and how. We discuss the causes for semantic variability in real-world descriptions, including multilevel event semantics, implicit semantics facets, and the influence of context. We discuss five main aspects of an event detection system. These aspects are: the variants of tasks and event definitions that constrain system design, the media capture setup that collectively define the available data and necessary domain assumptions, the feature extraction step that converts the captured data into perceptually significant numeric or symbolic forms, statistical models that map the feature representations to richer semantic descriptions, and applications that use event metadata to help in different information-seeking tasks. We review current event-mining systems in detail, grouping them by the problem formulations and approaches. The review includes detection of events and actions in one or more continuous sequences, events in edited video streams, unsupervised event discovery, events in a collection of media objects, and a discussion on ongoing benchmark activities. These problems span a wide range of multimedia domains such as surveillance, meetings, broadcast news, sports, documentary, and films, as well as personal and online media collections. We conclude this survey with a brief outlook on open research directions. AU - Lexing, Xie AU - Sundaram, H. AU - Campbell, M. DA - 2008/04// DO - 10.1109/JPROC.2008.916362 IS - 4 J2 - Proceedings of the IEEE KW - data mining feature extraction meta data multimedia computing statistical analysis PY - 2008 SN - 0018-9219 SP - 623-47 ST - Event mining in multimedia streams T2 - Proceedings of the IEEE TI - Event mining in multimedia streams UR - http://dx.doi.org/10.1109/JPROC.2008.916362 VL - 96 ID - 1663 ER - TY - CONF AB - This paper proposes a kind of event recognition technique on news events which analyzes the words in the news documents using co-occurrence analysis for mining the key meta-event, and realizes more pervasive event recognition by leveraging on Markov chain. This approach overcomes the over-sensitivity problems in the traditional event recognition domain based on the words, and it can adapt to intelligent recognition of news event in different domains. AU - Yi, Zheng AU - Shi, Ying AU - Yibing, Wang C3 - Chinese Lexical Semantics. 13th Workshop, CLSW 2012, 6-8 July 2012 DA - 2013 DO - 10.1007/978-3-642-36337-5_12 KW - data mining Markov processes PB - Springer Verlag PY - 2013 SP - 102-9 ST - Event Recognition Based on Co-occurrence Concept Analysis T3 - Chinese Lexical Semantics. 13th Workshop, CLSW 2012. Revised Selected Papers TI - Event Recognition Based on Co-occurrence Concept Analysis UR - http://dx.doi.org/10.1007/978-3-642-36337-5_12 ID - 1535 ER - TY - BOOK A3 - Usui, S. A2 - Oori, T. AB - To date, the data mining community has concentrated on static databases that do not always result in interesting patterns. To this end, we propose an event sequence paradigm that facilitates the abstraction of data at various time points and at various levels of granularity. Our premise is that if the individual time slices could be explored utilising logic theory and principal component analysis then comparison between rule sets at the meta-level would become feasible. Their differences would then be expressed and analysed with the aim of detecting trends or making predictions to aid management planning. AU - Anderson, I. AU - Miyamoto, K. AU - Yanaru, T. DA - 1998 PY - 1998 SN - 4-274-90259-5 ST - Event sequence data mining in temporal databases TI - Event sequence data mining in temporal databases ID - 1971 ER - TY - JOUR AB - BACKGROUND: Better understanding of clinical reasoning could reduce diagnostic error linked to 8% of adverse medical events and 30% of malpractice cases. To a greater extent than the evidence-based movement, the clinical reasoning literature asserts the importance of practitioner intuition-unconscious elements of diagnostic reasoning. The study aimed to analyse the content of case report summaries in ways that explored the importance of an evidence concept, not only in relation to research literature but also intuition. METHODS: The study sample comprised all 789,712 abstracts in English for case reports contained in the database PUBMED for the period 1 January 1983 to 31 December 2012. It was hypothesised that, if evidence and intuition concepts were viewed by these clinical authors as essential to understanding their case reports, they would be more likely to be found in the abstracts. Computational linguistics software was used in 1) concept mapping of 21,631,481 instances of 201 concepts, and 2) specific concept analyses examining 200 paired co-occurrences for 'evidence' and research 'literature' concepts. RESULTS: 'Evidence' is a fundamentally patient-centred, intuitive concept linked to less common concepts about underlying processes, suspected disease mechanisms and diagnostic hunches. In contrast, the use of research literature in clinical reasoning is linked to more common reasoning concepts about specific knowledge and descriptions or presenting features of cases. 'Literature' is by far the most dominant concept, increasing in relevance since 2003, with an overall relevance of 13% versus 5% for 'evidence' which has remained static. CONCLUSIONS: The fact that the least present types of reasoning concepts relate to diagnostic hunches to do with underlying processes, such as what is suspected, raises questions about whether intuitive practitioner evidence-making, found in a constellation of dynamic, process concepts, has become less important. The study adds support to the existing corpus of research on clinical reasoning, by suggesting that intuition involves a complex constellation of concepts important to how the construct of evidence is understood. The list of concepts the study generated offers a basis for reflection on the nature of evidence in diagnostic reasoning and the importance of intuition to that reasoning. AU - Seidel, Bastian M. AU - Campbell, Steven AU - Bell, Erica DA - 2015 DO - 10.1186/s12911-015-0136-8 J2 - BMC Med Inform Decis Mak KW - *Clinical Decision-Making *Data Mining *Evidence-Based Practice *Intuition *Linguistics Humans Terminology as Topic LA - eng PY - 2015 SN - 1472-6947 1472-6947 SP - 19 ST - Evidence in clinical reasoning: a computational linguistics analysis of 789,712 medical case summaries 1983-2012 T2 - BMC medical informatics and decision making TI - Evidence in clinical reasoning: a computational linguistics analysis of 789,712 medical case summaries 1983-2012 VL - 15 ID - 91 ER - TY - JOUR AB - SUMMARY: Protein-protein interaction detection methods are applied on a daily basis by molecular biologists worldwide. After generating a set of potential interactions, biologists face the problem of highlighting the ones that are novel and collecting evidence with respect to literature and annotation. This task can be as tedious as searching for every predicted interaction in several interaction data repositories, or manually screening the scientific literature. To facilitate the task of evidence mining and novelty assessment of protein-protein interactions, we have developed a Cytoscape plugin that automatically mines publication references, database references, interaction detection method descriptions and pathway annotation for a user-supplied network of interactions. The basis for the annotation is ConsensusPathDB-a meta-database that integrates numerous protein-protein, signaling, metabolic and gene regulatory interaction repositories for currently three species: Homo sapiens, Saccharomyces cerevisiae and Mus musculus. AVAILABILITY: The ConsensusPathDB plugin for Cytoscape (version 2.7.0 or later) can be installed within Cytoscape on a major operating system (Windows, Mac OS, Unix/Linux) with Sun Java 1.5 or later installed through Cytoscape's Plugin manager (category 'Network and Attribute I/O'). The plugin is freely available for download on the ConsensusPathDB web site (http://cpdb.molgen.mpg.de). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. AU - Pentchev, Konstantin AU - Ono, Keiichiro AU - Herwig, Ralf AU - Ideker, Trey AU - Kamburov, Atanas DA - 2010/11/01/ DO - 10.1093/bioinformatics/btq522 IS - 21 J2 - Bioinformatics KW - *Software Data Mining/*methods Protein Interaction Mapping/*methods Proteins/*chemistry/metabolism User-Computer Interface LA - eng PY - 2010 SN - 1367-4811 1367-4803 SP - 2796-2797 ST - Evidence mining and novelty assessment of protein-protein interactions with the ConsensusPathDB plugin for Cytoscape T2 - Bioinformatics (Oxford, England) TI - Evidence mining and novelty assessment of protein-protein interactions with the ConsensusPathDB plugin for Cytoscape VL - 26 ID - 379 ER - TY - JOUR AB - Observer bias and other "experimenter effects" occur when researchers' expectations influence study outcome. These biases are strongest when researchers expect a particular result, are measuring subjective variables, and have an incentive to produce data that confirm predictions. To minimize bias, it is good practice to work "blind," meaning that experimenters are unaware of the identity or treatment group of their subjects while conducting research. Here, using text mining and a literature review, we find evidence that blind protocols are uncommon in the life sciences and that nonblind studies tend to report higher effect sizes and more significant p-values. We discuss methods to minimize bias and urge researchers, editors, and peer reviewers to keep blind protocols in mind. AU - Holman, Luke AU - Head, Megan L. AU - Lanfear, Robert AU - Jennions, Michael D. DA - 2015/07//undefined DO - 10.1371/journal.pbio.1002190 IS - 7 J2 - PLoS Biol KW - Biology/*standards/statistics & numerical data Data Collection/*standards/statistics & numerical data data mining L1 - internal-pdf://1510906527/Holman-2015-Evidence of Experimental Bias in t.pdf LA - eng PY - 2015 SN - 1545-7885 1544-9173 SP - e1002190 ST - Evidence of Experimental Bias in the Life Sciences: Why We Need Blind Data Recording T2 - PLoS biology TI - Evidence of Experimental Bias in the Life Sciences: Why We Need Blind Data Recording UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4496034/pdf/pbio.1002190.pdf VL - 13 ID - 278 ER - TY - JOUR AB - Background: Methylmercury (MeHg) is a known neurotoxicant. Emerging evidence indicates it may have adverse effects on the neurologic and other body systems at common low levels of exposure. Impacts of MeHg exposure could vary by individual susceptibility or be confounded by beneficial nutrients in fish containing MeHg. Despite its global relevance, synthesis of the available literature on low-level MeHg exposure has been limited.Objectives: We undertook a synthesis of the current knowledge on the human health effects of low-level MeHg exposure to provide a basis for future research efforts, risk assessment, and exposure remediation policies worldwide. Data sources and extraction: We reviewed the published literature for original human epidemiologic research articles that reported a direct biomarker of mercury exposure. To focus on high-quality studies and those specifically on low mercury exposure, we excluded case series, as well as studies of populations with unusually high fish consumption (e.g., the Seychelles), marine mammal consumption (e.g., the Faroe Islands, circumpolar, and other indigenous populations), or consumption of highly contaminated fish (e.g., gold-mining regions in the Amazon).Data synthesis: Recent evidence raises the possibility of effects of low-level MeHg exposure on fetal growth among susceptible subgroups and on infant growth in the first 2 years of life. Low-level effects of MeHg on neurologic outcomes may differ by age, sex, and timing of exposure. No clear pattern has been observed for cardiovascular disease (CVD) risk across populations or for specific CVD end points. For the few studies evaluating immunologic effects associated with MeHg, results have been inconsistent.Conclusions: Studies targeted at identifying potential mechanisms of low-level MeHg effects and characterizing individual susceptibility, sexual dimorphism, and nonlinearity in dose response would help guide future prevention, policy, and regulatory efforts surrounding MeHg exposure. AN - 104462009. Language: English. Entry Date: 20120614. Revision Date: 20150711. Publication Type: Journal Article AU - Karagas, Margaret R. AU - Choi, Anna L. AU - Oken, Emily AU - Horvat, Milena AU - Schoeny, Rita AU - Kamai, Elizabeth AU - Cowell, Whitney AU - Grandjean, Phillippe AU - Korrick, Susan DA - 2012/06// DB - c8h DO - 10.1289/ehp.1104494 DP - EBSCOhost IS - 6 J2 - Environmental Health Perspectives KW - Biological Markers Cardiovascular System -- Drug Effects Child Child Development Cognition -- In Infancy and Childhood Dietary Proteins -- Adverse Effects Dose-Response Relationship Environmental Exposure -- Adverse Effects Female Funding Source Health Health Policy Human Immune System -- Drug Effects Infant Infant Development Neurotoxicity Syndromes -- Chemically Induced Organic Chemicals -- Administration and Dosage Pregnancy Pregnancy Outcomes Risk Assessment Systematic review L1 - internal-pdf://3726200556/Karagas-2012-Evidence on the Human Health Effe.pdf N1 - research; systematic review; tables/charts. Journal Subset: Blind Peer Reviewed; Editorial Board Reviewed; Peer Reviewed; Public Health; USA. Special Interest: Evidence-Based Practice; Public Health. Grant Information: Support for this study was provided in part by grants P42 ES007373, P20 ES018175, R01 ES014864, R01 ES09797, P30 ES000002, and R01 ES016314 from the National Institute of Environmental Health Sciences, National Institutes of Health (NIH); P30 DK040561 from the National Institute of Diabetes and Digestive and Kidney Diseases, NIH; and RD-83459901 from the U.S. Environmental Protection Agency (EPA).. NLM UID: 0330411. PY - 2012 SN - 0091-6765 SP - 799-806 ST - Evidence on the Human Health Effects of Low-Level Methylmercury Exposure T2 - Environmental Health Perspectives TI - Evidence on the Human Health Effects of Low-Level Methylmercury Exposure UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=104462009&scope=site https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3385440/pdf/ehp.1104494.pdf VL - 120 ID - 400 ER - TY - CONF AB - The concept and methodology of evidence-based medicine (EBM) and the strategy to promote efficacy of acupuncture in clinical practice are introduced in this paper. Then it focuses on using the data mining approaches to integrate the primary evidence from real practice based on conventional clinical data and secondary evidence by systematic literature review or Meta-analysis. The new analytic method is capable of explore in-depth on the latent rules and relations of acupuncture and Chinese medicine versus the effectiveness in real practice. A data warehouse is recommended to be set up to store and manage the above evidence processed by appropriate data mining algorithms and models. As the data from different origins is hopefully to be integrated in a clinical decision support system, it will be able to provide evidence-based references and recommendations for the clinical practice of acupuncture and Chinese medicine. AU - Chang-rong, Meng AU - Hong-lai, Zhang AU - Ling-feng, Zeng AU - Zi-ping, Li AU - Huang, J. AU - Zhaohui, Liang C3 - 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 18-21 Dec. 2013 DA - 2013 DO - 10.1109/BIBM.2013.6732669 KW - bioinformatics data mining Data warehouses Decision support systems Patient treatment Reviews PB - IEEE PY - 2013 SP - 180-1 ST - Evidence-based decision support for the clinical practice of acupuncture: Data mining approaches T3 - 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) TI - Evidence-based decision support for the clinical practice of acupuncture: Data mining approaches UR - http://dx.doi.org/10.1109/BIBM.2013.6732669 ID - 1825 ER - TY - JOUR AB - Background: Most recently, renewed interest has arisen in manufactured silver nanomaterials because of their unusually enhanced physicochemical properties and biological activities compared to the bulk parent materials. A wide range of applications has emerged in consumer products ranging from disinfecting medical devices and home appliances to water treatment. Because the hypothesized mechanisms that govern the fate and transport of bulk materials may not directly apply to materials at the nanoscale, there are great concerns in the regulatory and research communities about potential environmental impacts associated with the use of silver nanoparticles. In particular, the unlimited combinations of properties emerging from the syntheses and applications of silver nanoparticles are presenting an urgent need to document the predominant salt precursors, reducing agents and stabilizing agents utilized in the synthesis processes of silver nanoparticles to guide the massive efforts required for environmental risk assessment and management. Objectives: The primary objective of this study is to present an evidence-based environmental perspective of silver nanoparticle properties in syntheses and applications. The following specific aims are designed to achieve the study objective: Aim 1 - to document the salt precursors and agents utilized in synthesizing silver nanoparticles; Aim 2 - to determine the characteristics of silver nanoparticles currently in use in the scientific literature when integrated in polymer matrices to form nanocomposites and combined with other metal nanoparticles to form bimetallic nanoparticles; Aim 3 - to provide a summary of the morphology of silver nanoparticles; and (4) Aim 4 - to provide an environmental perspective of the evidence presented in Aims 1 to 3. Methods: A comprehensive electronic search of scientific databases was conducted in support of the study objectives. Specific inclusion criteria were applied to gather the most pertinent research articles. Data and information extraction relied on the type of synthesis methods, that is, synthesized silver nanoparticles in general and specific applications, nanocomposites, and bimetallic techniques. The following items were gathered for: type of silver salt, solvent, reducing agent, stabilizing agent, size, and type of application/nanocomposite/bimetallic, and template (for nanocomposites). The description of evidence was presented in tabular format. The critical appraisal was analyzed in graphical format and discussed. Results: An analysis of the scientific literature suggests that most synthesis processes produce spherical silver nanoparticles with less than 20 nm diameter. Silver nanoparticles are often synthesized via reduction of AgNO3, dissolution in water, and utilization of reductants also acting as capping or stabilizing agents for the control of particle size to ensure a relatively stable suspension. Two of the most commonly used reductants and stabilizing agents are NaBH4 and citrate which yield particles with a negative surface charge over the environmental pH range (3-10). The environmental perspectives of these parameters are discussed. Concluding remarks: It is expected that the antibacterial property of bulk silver is carried over and perhaps enhanced, to silver nanoparticles. Therefore, when one examines the environmental issues associated with the manufacture and use of silver nanoparticle-based products, the antibacterial effects should always be taken into account particularly at the different stages of the product lifecycle. Currently, there are two arguments in the scientific literature about the mechanisms of antimicrobial properties of silver nanoparticles as they relate to colloidal silver particles and inonic silver. Methodologies of risk assessment and control have to account for both arguments. AU - Tolaymat, Thabet M. AU - El Badawy, Amro M. AU - Genaidy, Ash AU - Schekel, Kirk G. AU - Luxton, Todd P. AU - Suidan, Makram DA - 2010 DO - 10.1016/j.scitotenv.2009.11.003 IS - 5 J2 - Science of the Total Environment KW - Biological materials Consumer products Dissolution Domestic appliances Environmental impact Metal recovery Nanocomposites Nanoparticles Nanostructured materials Reducing agents Risk Assessment Risk management Silver Suspensions (fluids) Synthesis (chemical) Water treatment N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2010 SN - 00489697 SP - 999-1006 ST - An evidence-based environmental perspective of manufactured silver nanoparticle in syntheses and applications: A systematic review and critical appraisal of peer-reviewed scientific papers T2 - Science of the Total Environment TI - An evidence-based environmental perspective of manufactured silver nanoparticle in syntheses and applications: A systematic review and critical appraisal of peer-reviewed scientific papers UR - http://dx.doi.org/10.1016/j.scitotenv.2009.11.003 VL - 408 ID - 913 ER - TY - JOUR AB - An evidence-based methodology was adopted in this research to establish strategies to increase lead recovery and recycling via a systematic review and critical appraisal of the published literature. In particular, the research examines pollution prevention and waste minimization practices and technologies that meet the following criteria: (a) reduce/recover/recycle the largest quantities of lead currently being disposed of as waste, (b) technically and economically viable, that is, ready to be diffused and easily transferable, and (c) strong industry interest (i.e., industry would consider implementing projects with higher payback periods). The following specific aims are designed to achieve the study objectives: Aim 1 - To describe the recycling process of recovering refined lead from scrap; Aim 2 - To document pollution prevention and waste management technologies and practices adopted by US stakeholders along the trajectory of LAB and lead product life cycle: Aim 3 - To explore improved practices and technologies which are employed by other organizations with an emphasis on the aforementioned criteria; Aim 4 - To demonstrate the economic and environmental costs and benefits of applying improved technologies and practices to existing US smelting operations; and Aim 5 - To evaluate improved environmental technologies and practices using an algorithm that integrates quantitative and qualitative criteria. The process of identifying relevant articles and reports was documented. The description of evidence was presented for current practices and technologies used by US smelters as well as improved practices and technologies. Options for integrated environmental solutions for secondary smelters were introduced and rank ordered on the basis of costs (i.e., capital investment) and benefits (i.e., production increases, energy and flux savings, and reduction of SO(2) and slag). An example was provided to demonstrate the utility of the algorithm by detailing the costs and benefits associated with different combinations of practices and technologies. The evidence-based methodology documented in this research reveals that it is technically and economically feasible to implement integrated environmental solutions to increase lead recovery and recycling among US smelters. The working example presented in this research can be confirmed with US stakeholders and form the basis for implementable solutions in the lead smelter and product industries to help reverse the overall trend of declining life-cycle recycling rates. (C) 2009 Elsevier B.V. All rights reserved. AU - Genaidy, A. M. AU - Sequeira, R. AU - Tolaymat, T. AU - Kohler, J. AU - Rinder, M. DA - 2009/05/01/ DO - 10.1016/j.scitotenv.2009.01.025 IS - 10 L1 - internal-pdf://4117573840/Genaidy-2009-Evidence-based integrated environ.pdf PY - 2009 SN - 0048-9697 SP - 3239-3268 ST - Evidence-based integrated environmental solutions for secondary lead smelters: Pollution prevention and waste minimization technologies and practices T2 - Science of the Total Environment TI - Evidence-based integrated environmental solutions for secondary lead smelters: Pollution prevention and waste minimization technologies and practices UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0048969709000680/1-s2.0-S0048969709000680-main.pdf?_tid=07473580-8336-11e6-882f-00000aab0f26&acdnat=1474818055_3e07266304ddae759e9e0bc87c361c1f VL - 407 ID - 2137 ER - TY - JOUR AB - Evidence-based medicine (EBM) is a school of thought that has spread rapidly through medicine in the past 2 decades and is eliciting an increasing interest in Anatomic Pathology and Laboratory Medicine. It has been defined as "the conscientious, explicit, and judicious use of current best evidence in making decisions about the care of individual patients." The environmental factors that created a need for EBM and basic concepts of this discipline are reviewed. Methods for the accrual and critical appraisal of the validity of available evidence and its impact, applicability and usefulness in pathology practice are discussed. Basic concepts of bayesian data analysis with an emphasis on concepts Such as prior and posterior probability and the use of "holdout" or "test" data are introduced. The future of EBM in pathology is discussed and potential applications of these concepts to pathology practice and research are proposed. (c) 2005 Elsevier Inc. All rights reserved. AU - Marchevsky, A. M. DA - 2005/05// DO - 10.1053/j.semdp.2006.01.002 IS - 2 PY - 2005 SN - 0740-2570 SP - 105-115 ST - Evidence-based medicine in pathology: an introduction T2 - Seminars in Diagnostic Pathology TI - Evidence-based medicine in pathology: an introduction VL - 22 ID - 2006 ER - TY - JOUR AB - BACKGROUND: Every day approximately 75 clinical trials and 11 systematic reviews are published in the health-care intervention and medical field. Due to this growing number of publications it is a challenge for every practicing clinician to keep track with the latest research. The implementation of new and effective diagnostic and therapeutic interventions into daily clinical routine may thus be delayed. Conversely, ineffective or even harmful interventions might still be in use. Decision-making in evidence-based medicine (EBM) requires consideration of the most recent high quality evidence. Randomised controlled trials (RCTs) are regarded as the "gold standard" to prove the efficacy of surgical interventions in patient-oriented research. Systematic reviews combine results from RCTs by summarising single RCTs which answer a particular clinical question. Some basic knowledge in systematic literature searching is required and helpful for detecting relevant publications. MATERIAL AND METHODS: This article shows various possibilities for locating clinical studies and systematic reviews in the database Medline on the basis of illustrative step-by-step instructions. RESULTS AND CONCLUSION. Depending on the aim and topic of the literature search, the time required for the task may vary. In routine practice, a systematic literature search is unrealistic in most cases. Clinicians in need of a quick update of current evidence on a certain clinical topic may make use of up-to-date systematic reviews. During a systematic literature search, different approaches and strategies might be necessary. AU - Grummich, K. AU - Jensen, K. AU - Obst, O. AU - Seiler, C. M. AU - Diener, M. K. DA - 2014/12//undefined DO - 10.1055/s-0032-1315118 J2 - Zentralbl Chir KW - *Clinical Trials as Topic *Data Mining *Evidence-Based Medicine *MEDLINE *Review Literature as Topic *Surgical Procedures, Operative Humans United States LA - ger PY - 2014 SN - 1438-9592 0044-409X SP - e116-123 ST - [Evidence-based medicine in surgical practice - locating clinical studies and systematic reviews by searching the Medline database] T2 - Zentralblatt fur Chirurgie TI - [Evidence-based medicine in surgical practice - locating clinical studies and systematic reviews by searching the Medline database] UR - https://www.thieme-connect.com/DOI/DOI?10.1055/s-0032-1315118 VL - 139 Suppl 2 ID - 81 ER - TY - CONF AB - High quality, cost-effective medical care requires consideration of the best available, most appropriate evidence in the care of each patient, a practice known as Evidence-based Medicine (EBM). EBM is dependent upon the wide availability and coverage of accurate, objective syntheses called evidence reports (also called systematic reviews). These are compiled by a time and resource-intensive process that is largely manual, and that has not taken advantage of many of the advances in information processing technologies that have assisted other textual domains. We propose a specific text-mining based pipeline to support the creation and updating of evidence reports that provides support for the literature collection, collation, and triage steps of the systematic review process. The pipeline includes a metasearch engine that covers both bibliographic databases and selected "grey" literature; a module that classifies articles according to study type; a module for grouping studies that are closely related (e.g. that derive from the same underlying clinical trial or same study cohort); and an automated system that ranks publications according to the likelihood that they will meet inclusion criteria for the report. The proposed pipeline will also enable groups performing systematic review to reuse tools and models created by other groups, and will provide a test-bed for further informatics research to develop improved tools in the future. Ultimately, this should increase the rate that high-quality systematic reviews and meta-analyses can be generated, accessed and utilized by clinicians, patients, care-givers, and policymakers, resulting in better and more cost-effective care. 2010 ACM. AU - Cohen, Aaron M. AU - Adams, Clive E. AU - Davis, John M. AU - Yu, Clement AU - Yu, Philip S. AU - Meng, Weiyi AU - Duggan, Lorna AU - McDonagh, Marian AU - Smalheiser, Neil R. C3 - 1st ACM International Health Informatics Symposium, IHI'10, November 11, 2010 - November 12, 2010 DA - 2010 DO - 10.1145/1882992.1883046 KW - automation Cost Benefit Analysis cost effectiveness data mining Data processing information retrieval Information services Pipelines L1 - internal-pdf://3130390643/p376-cohen.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2010 SP - 376-380 ST - Evidence-based medicine, the essential role of systematic reviews, and the need for automated text mining tools T3 - IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium TI - Evidence-based medicine, the essential role of systematic reviews, and the need for automated text mining tools UR - http://dx.doi.org/10.1145/1882992.1883046 http://dl.acm.org/citation.cfm?doid=1882992.1883046 ID - 1816 ER - TY - JOUR AB - Importance: The use and misuse of P values has generated extensive debates.Objective: To evaluate in large scale the P values reported in the abstracts and full text of biomedical research articles over the past 25 years and determine how frequently statistical information is presented in ways other than P values.Design: Automated text-mining analysis was performed to extract data on P values reported in 12,821,790 MEDLINE abstracts and in 843,884 abstracts and full-text articles in PubMed Central (PMC) from 1990 to 2015. Reporting of P values in 151 English-language core clinical journals and specific article types as classified by PubMed also was evaluated. A random sample of 1000 MEDLINE abstracts was manually assessed for reporting of P values and other types of statistical information; of those abstracts reporting empirical data, 100 articles were also assessed in full text.Main Outcomes and Measures: P values reported.Results: Text mining identified 4,572,043 P values in 1,608,736 MEDLINE abstracts and 3,438,299 P values in 385,393 PMC full-text articles. Reporting of P values in abstracts increased from 7.3% in 1990 to 15.6% in 2014. In 2014, P values were reported in 33.0% of abstracts from the 151 core clinical journals (n = 29,725 abstracts), 35.7% of meta-analyses (n = 5620), 38.9% of clinical trials (n = 4624), 54.8% of randomized controlled trials (n = 13,544), and 2.4% of reviews (n = 71,529). The distribution of reported P values in abstracts and in full text showed strong clustering at P values of .05 and of .001 or smaller. Over time, the "best" (most statistically significant) reported P values were modestly smaller and the "worst" (least statistically significant) reported P values became modestly less significant. Among the MEDLINE abstracts and PMC full-text articles with P values, 96% reported at least 1 P value of .05 or lower, with the proportion remaining steady over time in PMC full-text articles. In 1000 abstracts that were manually reviewed, 796 were from articles reporting empirical data; P values were reported in 15.7% (125/796 [95% CI, 13.2%-18.4%]) of abstracts, confidence intervals in 2.3% (18/796 [95% CI, 1.3%-3.6%]), Bayes factors in 0% (0/796 [95% CI, 0%-0.5%]), effect sizes in 13.9% (111/796 [95% CI, 11.6%-16.5%]), other information that could lead to estimation of P values in 12.4% (99/796 [95% CI, 10.2%-14.9%]), and qualitative statements about significance in 18.1% (181/1000 [95% CI, 15.8%-20.6%]); only 1.8% (14/796 [95% CI, 1.0%-2.9%]) of abstracts reported at least 1 effect size and at least 1 confidence interval. Among 99 manually extracted full-text articles with data, 55 reported P values, 4 presented confidence intervals for all reported effect sizes, none used Bayesian methods, 1 used false-discovery rates, 3 used sample size/power calculations, and 5 specified the primary outcome.Conclusions and Relevance: In this analysis of P values reported in MEDLINE abstracts and in PMC articles from 1990-2015, more MEDLINE abstracts and articles reported P values over time, almost all abstracts and articles with P values reported statistically significant results, and, in a subgroup analysis, few articles included confidence intervals, Bayes factors, or effect sizes. Rather than reporting isolated P values, articles should include effect sizes and uncertainty metrics. AN - 113858976. Language: English. Entry Date: 20160326. Revision Date: 20160721. Publication Type: Article. Journal Subset: Biomedical AU - Chavalarias, David AU - Wallach, Joshua David AU - Ho Ting Li, Alvin AU - Ioannidis, John P. A. AU - Li, Alvin Ho Ting DA - 2016/03/15/ DB - c8h DO - 10.1001/jama.2016.1952 DP - EBSCOhost IS - 11 J2 - JAMA: Journal of the American Medical Association KW - data mining Funding Source Medline Models, Statistical Probability Scales Ways of Coping Questionnaire L1 - internal-pdf://1251300606/Chavalarias-2016-Evolution of Reporting P Valu.pdf N1 - Editorial Board Reviewed; Expert Peer Reviewed; Peer Reviewed; USA. Instrumentation: Ways of Coping Questionnaire (WCQ) (Folkman et al); Clinical Decision Making in Nursing Scale (CDMNS) (Jenkins). Grant Information: //Canadian Institutes of Health Research/Canada. NLM UID: 7501160. PY - 2016 SN - 0098-7484 SP - 1141-1148 ST - Evolution of Reporting P Values in the Biomedical Literature, 1990-2015 T2 - JAMA: Journal of the American Medical Association TI - Evolution of Reporting P Values in the Biomedical Literature, 1990-2015 UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=113858976&scope=site http://jama.jamanetwork.com.ezproxy.lib.vt.edu/data/Journals/JAMA/935101/joi160017.pdf VL - 315 ID - 390 ER - TY - JOUR AB - The development and application of evolutionary algorithms (EAs) and other metaheuristics for the optimisation of water resources systems has been an active research field for over two decades. Research to date has emphasized algorithmic improvements and individual applications in specific areas (e.g. model calibration, water distribution systems, groundwater management, river-basin planning and management, etc.). However, there has been limited synthesis between shared problem traits, common EA challenges, and needed advances across major applications. This paper clarifies the current status and future research directions for better solving key water resources problems using EAs. Advances in understanding fitness landscape properties and their effects on algorithm performance are critical. Future EA-based applications to real-world problems require a fundamental shift of focus towards improving problem formulations, understanding general theoretic frameworks for problem decompositions, major advances in EA computational efficiency, and most importantly aiding real decision-making in complex, uncertain application contexts. 2014 Elsevier Ltd. AU - Maier, H. R. AU - Kapelan, Z. AU - Kasprzyk, J. AU - Kollat, J. AU - Matott, L. S. AU - Cunha, M. C. AU - Dandy, G. C. AU - Gibbs, M. S. AU - Keedwell, E. AU - Marchi, A. AU - Ostfeld, A. AU - Savic, D. AU - Solomatine, D. P. AU - Vrugt, J. A. AU - Zecchin, A. C. AU - Minsker, B. S. AU - Barbour, E. J. AU - Kuczera, G. AU - Pasha, F. AU - Castelletti, A. AU - Giuliani, M. AU - Reed, P. M. DA - 2014 DO - 10.1016/j.envsoft.2014.09.013 J2 - Environmental Modelling and Software KW - Computational efficiency decision making Evolutionary algorithms Groundwater Heuristic algorithms Optimization Reviews Water distribution systems Water management Water resources N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 13648152 SP - 271-299 ST - Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions T2 - Environmental Modelling and Software TI - Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions UR - http://dx.doi.org/10.1016/j.envsoft.2014.09.013 VL - 62 ID - 651 ER - TY - JOUR AB - This paper proposes a framework for automated design of component-based decision tree algorithms. These algorithms are being constructed by interchanging components extracted from decision tree algorithms and their partial improvements. Manual selection of the best-suited algorithm for a specific problem is a complex task because of the huge algorithmic space derived from component-based design. The proposed framework searches through the algorithmic space with an evolutionary algorithm by interchanging components and tuning parameters, and finds a near optimal algorithm for a specific problem. Through experiments we show that using this meta-heuristic is justified in automated component-based algorithm design. This approach is useful not only as an algorithm design help, but also as a technology enhanced learning tool, which aids the understanding of the algorithms. 2014-IOS Press. AU - Jovanovic, Milo AU - Delibaic, Boris AU - Vukicevic, Milija AU - Suknovic, Milija AU - Martic, Milan DA - 2014 DO - 10.3233/IDA-130628 IS - 1 J2 - Intelligent Data Analysis KW - Algorithms automation Classification (of information) data mining decision trees Evolutionary algorithms N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 1088467X SP - 63-77 ST - Evolutionary approach for automated component-based decision tree algorithm design T2 - Intelligent Data Analysis TI - Evolutionary approach for automated component-based decision tree algorithm design UR - http://dx.doi.org/10.3233/IDA-130628 http://content.iospress.com/articles/intelligent-data-analysis/ida00628 VL - 18 ID - 869 ER - TY - CONF AB - The proceedings contain 23 papers. The topics discussed include: automatic task decomposition for the neuroevolution of augmenting topologies (NEAT) algorithm; evolutionary reaction systems; optimizing the edge weights in optimal assignment methods for virtual screening with particle swarm optimization; understanding zooplankton long term variability through genetic programming; inferring disease-related metabolite dependencies with a Bayesian optimization algorithm; a GPU-based multi-swarm PSO method for parameter estimation in stochastic biological systems exploiting discrete-time target series; tracking the evolution of cooperation in complex networked populations; comparing multiobjective artificial bee colony adaptations for discovering DNA motifs; and comparison of methods for meta-dimensional data analysis using in silico and biological data sets. C3 - 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, April 11, 2012 - April 13, 2012 DA - 2012 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2012 SN - 03029743 SP - University-of Malaga, School of Computer Science; University of Malaga, School of Telecommunications; Malaga Convention Bureau; Edinburgh Napier Univ., Inst. Informatics Digit. Innovationg ST - Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 10th European Conference, EvoBIO 2012, Proceedings T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 10th European Conference, EvoBIO 2012, Proceedings VL - 7246 LNCS ID - 1452 ER - TY - JOUR AB - The Semantic Web (SW) is a meta-web built on the existing WWW to facilitate its access. SW expresses and exploits dependencies between web pages to yield focused search results. Manual annotation of web pages towards building a SW is hindered by at least two user dependent factors: users do not agree on an annotation standard, which can be used to extricate their pages inter-dependencies; and they are simply too lazy to use, undertake and maintain annotation of pages. In this paper, we present an alternative to exploit web pages dependencies: as users surf the net, they create a virtual surfing trail which can be shared with other users, this parallels social navigation for knowledge. We capture and use these trails to allow subsequent intelligent search of the web. People surfing the net with different interests and objectives do not leave similar and mutually beneficial trails. However, individuals in a given interest group produce trails that are of interest to the whole group. Moreover, special interest groups will be higher motivated than casual users to rate utility of pages they browse. In this paper, we introduce our system KAPUST1.2 (Keeper And Processor of User Surfing Trails). It captures user trails as they search the internet. It constructs a semantic web structure from the trails. The semantic web structure is expressed as a conceptual lattice guiding future searches. KAPUST is deployed as an E-learning software for an undergraduate class. First results indicated that indeed it is possible to process surfing trails into useful knowledge structures which can later be used to produce intelligent searching. [All rights reserved Elsevier]. AU - Beydoun, G. AU - Kultchitsky, R. AU - Manasseh, G. DA - 2007/02// DO - 10.1016/j.eswa.2005.11.035 IS - 2 J2 - Expert Systems with Applications KW - Computer aided instruction data mining information retrieval learning (artificial intelligence) Semantic Web User interfaces L1 - internal-pdf://3442649990/Beydoun-2007-Evolving semantic web with social.pdf PY - 2007 SN - 0957-4174 SP - 265-76 ST - Evolving semantic web with social navigation T2 - Expert Systems with Applications TI - Evolving semantic web with social navigation UR - http://dx.doi.org/10.1016/j.eswa.2005.11.035 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0957417405003362/1-s2.0-S0957417405003362-main.pdf?_tid=065eb40c-832e-11e6-81a5-00000aab0f6b&acdnat=1474814618_cd5f7b27609aed640d7988e21969d8c6 VL - 32 ID - 927 ER - TY - JOUR AB - Background: Clinical trials are one of the most important sources of evidence for guiding evidence-based practice and the design of new trials. However, most of this information is available only in free text e.g., in journal publications which is labour intensive to process for systematic reviews, meta-analyses, and other evidence synthesis studies. This paper presents an automatic information extraction system, called ExaCT, that assists users with locating and extracting key trial characteristics (e.g., eligibility criteria, sample size, drug dosage, primary outcomes) from full-text journal articles reporting on randomized controlled trials (RCTs). Methods: ExaCT consists of two parts: an information extraction (IE) engine that searches the article for text fragments that best describe the trial characteristics, and a web browser-based user interface that allows human reviewers to assess and modify the suggested selections. The IE engine uses a statistical text classifier to locate those sentences that have the highest probability of describing a trial characteristic. Then, the IE engine's second stage applies simple rules to these sentences to extract text fragments containing the target answer. The same approach is used for all 21 trial characteristics selected for this study. Results: We evaluated ExaCT using 50 previously unseen articles describing RCTs. The text classifier (first stage) was able to recover 88% of relevant sentences among its top five candidates (top5 recall) with the topmost candidate being relevant in 80% of cases (top1 precision). Precision and recall of the extraction rules (second stage) were 93% and 91%, respectively. Together, the two stages of the extraction engine were able to provide (partially) correct solutions in 992 out of 1050 test tasks (94%), with a majority of these (696) representing fully correct and complete answers. Conclusions: Our experiments confirmed the applicability and efficacy of ExaCT. Furthermore, they demonstrated that combining a statistical method with 'weak' extraction rules can identify a variety of study characteristics. The system is flexible and can be extended to handle other characteristics and document types (e.g., study protocols). AU - Kiritchenko, S. AU - de Bruijn, B. AU - Carini, S. AU - Martin, J. AU - Sim, I. DA - 2010 DO - 10.1186/1472-6947-10-56 J2 - BMC Medical Informatics and Decision Making KW - information retrieval medical information systems online front-ends pattern classification text analysis L1 - internal-pdf://1245466382/Kiritchenko-2010-ExaCT_ automatic extraction o.pdf PY - 2010 SN - 1472-6947 SP - 56-(17 pp.) ST - ExaCT: automatic extraction of clinical trial characteristics from journal publications T2 - BMC Medical Informatics and Decision Making TI - ExaCT: automatic extraction of clinical trial characteristics from journal publications UR - http://dx.doi.org/10.1186/1472-6947-10-56 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2954855/pdf/1472-6947-10-56.pdf VL - 10 ID - 1388 ER - TY - JOUR AB - OBJECTIVE: It is recognised internationally that rural communities often experience greater barriers to accessing services and have poorer health outcomes compared to urban communities. In some settings, health disparities may be further exacerbated by mining activity, which can affect the social, physical and economic environment in which rural communities reside. Direct environmental health impacts are often associated with mining activity and are frequently investigated. However, there is evidence of broader, indirect health and well-being implications emerging in the literature. This systematic review examines these health and well-being outcomes in communities living in proximity to mining in high-income countries, and, in doing so, discusses their possible determinants. METHODS: Four databases were systematically searched. Articles were selected if adult residents in mining communities were studied and outcomes were related to health or individual or community-level well-being. A narrative synthesis was conducted. RESULTS: Sixteen publications were included. Evidence of increased prevalence of chronic diseases and poor self-reported health status was reported in the mining communities. Relationship breakdown and poor family health, lack of social connectedness and decreased access to health services were also reported. Changes to the physical landscape; risky health behaviours; shift work of partners in the mine industry; social isolation and cyclical nature of 'boom and bust' activity contributed to poorer outcomes in the communities. CONCLUSION: This review highlights the broader health and well-being outcomes associated with mining activity that should be monitored and addressed in addition to environmental health impacts to support co-existence of mining activities and rural communities. AU - Mactaggart, Fiona AU - McDermott, Liane AU - Tynan, Anna AU - Gericke, Christian DA - 2016/08//undefined DO - 10.1111/ajr.12285 IS - 4 J2 - Aust J Rural Health KW - international health mining rural population health social determinants of health well-being LA - eng PY - 2016 SN - 1440-1584 1038-5282 SP - 230-237 ST - Examining health and well-being outcomes associated with mining activity in rural communities of high-income countries: A systematic review T2 - The Australian journal of rural health TI - Examining health and well-being outcomes associated with mining activity in rural communities of high-income countries: A systematic review VL - 24 ID - 135 ER - TY - JOUR AB - This study investigated the longitudinal trends of academic articles in Mobile Learning (ML) using text mining techniques. One hundred and nineteen (119) refereed journal articles and proceedings papers from the SCI/SSCI database were retrieved and analyzed. The taxonomies of ML publications were grouped into twelve clusters (topics) and four domains, based on abstract analysis using text mining. Results include basic bibliometric statistics, trends in frequency of each topic over time, predominance in each topic by country, and preferences for each topic by journal. Key findings include the following: (a) ML articles increased from 8 in 2003 to 36 in 2008; (b) the most popular domain in current ML is Effectiveness, Evaluation, and Personalized Systems; (c) Taiwan is most prolific in five of the twelve ML clusters; (d) ML research is at the Early Adopters stage; and (e) studies in strategies and framework will likely produce a bigger share of publication in the field of ML. AU - Jui-Long, Hung AU - Ke, Zhang DA - 2012/04// DO - 10.1007/s12528-011-9044-9 IS - 1 J2 - Journal of Computing in Higher Education KW - Computer aided instruction data mining mobile computing text analysis L1 - internal-pdf://2501851043/Jui-Long-2012-Examining mobile learning trends.pdf PY - 2012 SN - 1042-1726 SP - 1-17 ST - Examining mobile learning trends 2003-2008: a categorical meta-trend analysis using text mining techniques T2 - Journal of Computing in Higher Education TI - Examining mobile learning trends 2003-2008: a categorical meta-trend analysis using text mining techniques UR - http://dx.doi.org/10.1007/s12528-011-9044-9 VL - 24 ID - 1841 ER - TY - CONF AB - In this paper, we demonstrate the use of the ESTEST system, which combines the data integration approach with techniques from information extraction in order to allow information from ontologies and natural language sources to be integrated with other. semantically related, structured or semistructured data. AU - Williams, D. AU - Poulovassilis, A. C3 - Proceedings. 15th International Workshop on Database and Expert Systems Applications, 30 Aug.-3 Sept. 2004 DA - 2004 KW - information retrieval meta data natural languages ontologies (artificial intelligence) text analysis PB - IEEE Comput. Soc. PY - 2004 SP - 191-7 ST - An example of the ESTEST approach to combining unstructured text and structured data T3 - Proceedings. 15th International Workshop on Database and Expert Systems Applications TI - An example of the ESTEST approach to combining unstructured text and structured data ID - 844 ER - TY - CONF AB - In aspect-oriented programming languages, advice evaluation is usually considered as part of the base program evaluation. This is also the case for certain pointcuts, such as if pointcuts in AspectJ, or simply all pointcuts in higher-order aspect languages like AspectScheme. While viewing aspects as part of base level computation clearly distinguishes AOP from reflection, it also comes at a price: because aspects observe base level computation, evaluating pointcuts and advice at the base level can trigger infinite regression. To avoid these pitfalls, aspect languages propose ad-hoc mechanisms, which increase the complexity for programmers while being insufficient in many cases. After shedding light on the many facets of the issue, this paper proposes to clarify the situation by introducing levels of execution in the programming language, thereby allowing aspects to observe and run at specific, possibly different, levels. We adopt a defensive default that avoids infinite regression in all cases, and give advanced programmers the means to override this default using level shifting operators. We formalize the semantics of our proposal, and provide an implementation. This work recognizes that different aspects differ in their intended nature, and shows that structuring execution contexts helps tame the power of aspects and metaprogramming. Copyright 2010 ACM. AU - Tanter, Eric C3 - 9th International Conference on Aspect-Oriented Software Development, AOSD.10, March 15, 2010 - March 19, 2010 DA - 2010 DO - 10.1145/1739230.1739236 KW - Computer software selection and evaluation Computer systems programming Linguistics Object oriented programming Query languages Regression Analysis Software Design N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2010 SP - 37-48 ST - Execution levels for aspect-oriented programming T3 - AOSD.10 - 9th International Conference on Aspect-Oriented Software Development TI - Execution levels for aspect-oriented programming UR - http://dx.doi.org/10.1145/1739230.1739236 ID - 664 ER - TY - JOUR AB - We present in this paper a tool called EXOD (EXploration of Open Datasets) for the visual analysis of a large collection of open datasets. EXOD aims at helping the users to find datasets of interest. EXOD starts with the download of a large collection of datasets from an open data web site. For each dataset, it extracts its meta-data and its content. To describe each dataset in a vector space, EXOD extracts features by using text mining techniques. It considers both the metadata and the content of each dataset. Using this feature space, EXOD establishes a proximity graph by computing the Relative Neighborhood Graph. Considering the size of the collection, EXOD uses a GPU-based implementation for building this graph. We visualize the graph using the Tulip software and provide a visual and interactive global map of the collection. We developed a specific plug-in for Tulip to download and open the datasets in an interactive way. All of the presented results concern the French Open Data. EXOD was able to process 293,000 datasets, and half of this collection was visualized in Tulip. We show how clusters and other information can be discovered and how the created links can be used for local and content-based exploration. [All rights reserved Elsevier]. AU - Tianyang, Liu AU - Bouali, F. AU - Venturini, G. DA - 2014/04// DO - 10.1016/j.cag.2013.11.014 J2 - Computers & Graphics KW - data mining data visualisation graphics processing units Graph theory PY - 2014 SN - 0097-8493 SP - 117-30 ST - EXOD: A tool for building and exploring a large graph of open datasets T2 - Computers & Graphics TI - EXOD: A tool for building and exploring a large graph of open datasets UR - http://dx.doi.org/10.1016/j.cag.2013.11.014 VL - 39 ID - 1184 ER - TY - JOUR AB - To provide a guide for future deep (1.5 km) seismic mineral exploration and to better understand the nature of reflections imaged by surface reflection seismic data in two mining camps and a carbonatite complex of Sweden, more than 50 rock and ore samples were collected and measured for their seismic velocities. The samples are geographically from the northern and central parts of Sweden, ranging from metallic ore deposits, meta-volcanic and meta-intrusive rocks to deformed and metamorphosed rocks. First, ultrasonic measurements of P- and S-wave velocities at both atmospheric and elevated pressures, using 0.5 MHz P- and S-wave transducers were conducted. The ultrasonic measurements suggest that most of the measured velocities show positive correlation with the density of the samples with an exception of a massive sulphide ore sample that shows significant low P- and S-wave velocities. The low P- and S-wave velocities are attributed to the mineral texture of the sample and partly lower pyrite content in comparison with a similar type sample obtained from Norway, which shows significantly higher P- and S-wave velocities. Later, an iron ore sample from the central part of Sweden was measured using a low-frequency (0.1-50 Hz) apparatus to provide comparison with the ultrasonic velocity measurements. The low-frequency measurements indicate that the iron ore sample has minimal dispersion and attenuation. The iron ore sample shows the highest acoustic impedance among our samples suggesting that these deposits are favourable targets for seismic methods. This is further demonstrated by a real seismic section acquired over an iron ore mine in the central part of Sweden. Finally, a laser-interferometer device was used to analyse elastic anisotropy of five rock samples taken from a major deformation zone in order to provide insights into the nature of reflections observed from the deformation zone. Up to 10% velocity-anisotropy is estimated and demonstrated to be present for the samples taken from the deformation zone using the laser-interferometery measurements. However, the origin of the reflections from the major deformation zone is attributed to a combination of anisotropy and amphibolite lenses within the deformation zone. 2012 European Association of Geoscientists Engineers. AU - Malehmir, Alireza AU - Andersson, Magnus AU - Lebedev, Maxim AU - Urosevic, Milovan AU - Mikhaltsevitch, Vassili DA - 2013 DO - 10.1111/j.1365-2478.2012.01063.x IS - 1 J2 - Geophysical Prospecting KW - Acoustic impedance Anisotropy deformation Economic geology Iron ores Laser interferometry Lasers Mineral exploration mining Ore deposits Rocks Seismic waves Seismology Shear waves Ultrasonic velocity measurement Velocity Volcanic rocks N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 00168025 SP - 153-167 ST - Experimental estimation of velocities and anisotropy of a series of Swedish crystalline rocks and ores T2 - Geophysical Prospecting TI - Experimental estimation of velocities and anisotropy of a series of Swedish crystalline rocks and ores UR - http://dx.doi.org/10.1111/j.1365-2478.2012.01063.x VL - 61 ID - 673 ER - TY - JOUR AB - Copper retention due to chemical and physical interaction with reactive gangue has been studied during sulphuric acid leaching of atacamite, chrysocolla and malachite, using a synthetic rock (57% quartz, 42% reactive gangue and 1% ore). Smectite- and mordenite-rich gangues represent the highest copper retention whereas the lowest is found for kaolinites and illite. During leaching, smectites show the largest change (increase) in volume; no volume change occurred for kaolinites, zeolite and illite. Kaolinite-rich gangue forms barriers due to de-lamination demonstrated by acid accumulation at the top of the columns. The X-ray diffraction patterns of smectite, illite and kaolinite in the residues demonstrate the diminution or complete loss of basal crystal faces accompanied by the neo-formation of alunogen, meta-alunogen, coquimbite and goldichite. These new phases contribute to a temporary reduction of permeability. For all the synthetic rocks assayed, the copper retention is directly proportional to cation exchange capacity (CEC) of the starting materials, and corroborated by the CEC of Cu of the residues determined without water elution prior to analysis. This test used represents a predictive tool to evaluate the potential Cu retention and gangues with elevated CEC. (c) 2005 Elsevier B.V. All rights reserved. AU - Helle, S. AU - Kelm, U. DA - 2005/08// DO - 10.1016/j.hydromet.2005.03.005 IS - 3-4 L1 - internal-pdf://3367417579/Helle-2005-Experimental leaching of atacamite.pdf PY - 2005 SN - 0304-386X SP - 180-186 ST - Experimental leaching of atacamite, chrysocolla and malachite: Relationship between copper retention and cation exchange capacity T2 - Hydrometallurgy TI - Experimental leaching of atacamite, chrysocolla and malachite: Relationship between copper retention and cation exchange capacity UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0304386X05000927/1-s2.0-S0304386X05000927-main.pdf?_tid=b3e1ded4-8337-11e6-a702-00000aacb360&acdnat=1474818774_f2ad399f4df28857f08760983d20f621 VL - 78 ID - 2060 ER - TY - CONF AB - Experiments using acoustic sensors to monitor stress changes and hydraulic fracture propagation in moderate size, layered rock samples are described in this paper. The results show that microseismic event locations closely follow the actual growth of the hydraulic fracture, especially near the well bore. More events are detected and localized near the acoustic transducers indicating that signal attenuation is significant. In the work performed, event location based on automated picking techniques is not yet accurate enough to make diagnostic conclusions about fracture propagation near and through the different layered materials. Advanced processing techniques being developed in industry may well have the additional resolution necessary to focus some of these more subtle events at the laboratory scale. The conducted experiments indicated that controlling hydraulic fracture growth in laboratory-sized samples is difficult in small and moderate sized samples, and dynamically changing flap jack pressures, and injection rates and pressures is mandatory to slow the fracture growth for proper analysis once it has initiated. A key outcome of the work is the recognition that rocks emit substantial amounts of acoustic energy when stressed at incremental pressure levels of only a few psi, which corroborates a model of rocks as being meta-stable materials and explains frequently observed field phenomena. Further advancements in the use of acoustic monitoring at the laboratory scale are warranted and significant breakthroughs are possible for non-invasive investigations of solid and layered materials under stress. Copyright 2011, Society of Petroleum Engineers. AU - Roundtree, Russell AU - Miskimins, Jennifer L. C3 - SPE Hydraulic Fracturing Technology Conference 2011, January 24, 2011 - January 26, 2011 DA - 2011 KW - Acoustic transducers Experiments Fracture Hydraulic fracturing Hydraulics Oil wells Petroleum engineering Seismology Signal processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Society of Petroleum Engineers PY - 2011 SP - 760-770 ST - Experimental validation of microseismic emissions from a controlled hydraulic fracture in a synthetic layered medium T3 - Society of Petroleum Engineers - SPE Hydraulic Fracturing Technology Conference 2011 TI - Experimental validation of microseismic emissions from a controlled hydraulic fracture in a synthetic layered medium ID - 679 ER - TY - CONF AB - When considering new datasets for analysis with machine learning algorithms, we encounter the problem of choosing the algorithm which is best suited for the task at hand. The aim of meta-level learning is to relate the performance of different machine learning algorithms to the characteristics of the dataset. The relation is induced on the basis of empirical data about the performance of machine learning algorithms on the different datasets. An inductive logic programming (ILP) framework for meta-level learning is presented. The performance of three machine learning algorithms (the tree learning system C4.5, the rule learning system CN2 and the k-NN nearest neighbour classifier) were measured on twenty datasets from the UCI repository in order to obtain the dataset for meta-learning. The results of applying ILP on this meta-learning problem are presented and discussed. AU - Todorovski, L. AU - Dzeroski, S. C3 - Principles of Data Mining and Knowledge Discovery. Third European Conference, PKDD'99, 15-18 Sept. 1999 DA - 1999 KW - data analysis data mining inductive logic programming learning (artificial intelligence) pattern classification software performance evaluation tree data structures very large databases PB - Springer-Verlag PY - 1999 SP - 98-106 ST - Experiments in meta-level learning with ILP T3 - Principles of Data Mining and Knowledge Discovery. Third European Conference, PKDD'99. Proceedings. (Lecture Notes in Artificial Intelligence Vol.1704) TI - Experiments in meta-level learning with ILP ID - 1601 ER - TY - CONF AB - Social harmony problems are being existed in social system, which is an open giant complex system. For solving such kind of problems the Metasynthesis system approach proposed by Qian XS et al will be applied. In this approach the data, information, knowledge, model, experience and wisdom should be integrated and synthesized. Data mining, text mining and web mining are good techniques for using data, information and knowledge. Model mining, psychology mining and expert mining are new techniques for mining the idea, opinions, experiences and wisdom. In this paper we will introduce the expert mining, which is based on mining the experiences, knowledge and wisdom directly from experts, managers and leaders. 2009 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. AU - Gu, Jifa AU - Song, Wuqi AU - Zhu, Zhengxiang AU - Liu, Yijun C3 - 1st International Conference on Complex Sciences: Theory and Applications, Complex 2009, February 23, 2009 - February 25, 2009 DA - 2009 DO - 10.1007/978-3-642-02469-6_113 KW - data mining User interfaces N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2009 SN - 18678211 SP - 2365-2369 ST - Expert mining for solving social harmony problems T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering TI - Expert mining for solving social harmony problems UR - http://dx.doi.org/10.1007/978-3-642-02469-6_113 VL - 5 LNICST ID - 1760 ER - TY - CONF AB - A large amount of strategically relevant business information is contained in unstructured texts. While information brokering approaches are used to contextualize such documents and to generate metadata, text mining is used to explore large document spaces. So far, little attention has been paid on a value-adding combination of these technologies. We show how metadata and documents can be complementarily represented and used interactively to support users in text corpus analysis. We present a text analysis portal which displays inter-document similarity by means of so-called document maps, complemented by a display of the domain ontology and metadata-based access methods. AU - Seeling, C. AU - Becks, A. C3 - Proceedings Seventh International Conference on Information Visualization - IV 2003 - International Conference on Computer Visualization and Graphics Applications, 16-18 July 2003 DA - 2003 KW - data mining data visualisation information retrieval Internet meta data portals semantic networks text analysis User interfaces PB - IEEE Comput. Soc. PY - 2003 SP - 652-7 ST - Exploiting metadata for ontology-based visual exploration of weakly structured text documents T3 - Proceedings Seventh International Conference on Information Visualization - IV 2003 - International Conference on Computer Visualization and Graphics Applications TI - Exploiting metadata for ontology-based visual exploration of weakly structured text documents ID - 1228 ER - TY - CONF AB - In this paper we address the problem of automatically learning to classify the sentiment of short messages/reviews by exploiting information derived from meta-level features i.e., features derived primarily from the original bag-of-words representation. We propose new meta-level features especially designed for the sentiment analysis of short messages such as: (i) information derived from the sentiment distribution among the k nearest neighbors of a given short test document x, (ii) the distribution of distances of x to their neighbors and (iii) the document polarity of these neighbors given by unsupervised lexical-based methods. Our approach is also capable of exploiting information from the neighborhood of document x regarding (highly noisy) data obtained from 1.6 million Twitter messages with emoticons. The set of proposed features is capable of transforming the original feature space into a new one, potentially smaller and more informed. Experiments performed with a substantial number of datasets (nineteen) demonstrate that the effectiveness of the proposed sentiment-based meta-level features is not only superior to the traditional bag-of-word representation (by up to 16%) but is also superior in most cases to state-of-art meta-level features previously proposed in the literature for text classification tasks that do not take into account some idiosyncrasies of sentiment analysis. Our proposal is also largely superior to the best lexicon-based methods as well as to supervised combinations of them. In fact, the proposed approach is the only one to produce the best results in all tested datasets in all scenarios. 2016 Association for Computing Machinery. AU - Canuto, Sergio AU - Goncalves, Marcos Andre AU - Benevenuto, Fabricio C3 - 9th ACM International Conference on Web Search and Data Mining, WSDM 2016, February 22, 2016 - February 25, 2016 DA - 2016 DO - 10.1145/2835776.2835821 KW - Classification (of information) data mining information retrieval Nearest neighbor search Text processing Websites World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2016 SP - 53-62 ST - Exploiting new sentiment-based meta-level features for effective sentiment analysis T3 - WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining TI - Exploiting new sentiment-based meta-level features for effective sentiment analysis UR - http://dx.doi.org/10.1145/2835776.2835821 http://dl.acm.org/citation.cfm?doid=2835776.2835821 ID - 1751 ER - TY - CONF AB - The constantly growing amount of Web content and the success of the Social Web lead to increasing needs for Web archiving. These needs go beyond the pure preservation of Web pages. Web archives are turning into community memories that aim at building a better understanding of the public view on, e.g., celebrities, court decisions, and other events. In this paper we present the ARCOMEM architecture that uses semantic information such as entities, topics, and events complemented with information from the social Web to guide a novel Web crawler. The resulting archives are automatically enriched with semantic meta-information to ease the access and allow retrieval based on conditions that involve high-level concepts. AU - Risse, T. AU - Dietze, S. AU - Peters, W. AU - Doka, K. AU - Stavrakas, Y. AU - Senellart, P. C3 - Theory and Practice of Digital Libraries. Second International Conference, TPDL 2012, 23-27 Sept. 2012 DA - 2012 DO - 10.1007/978-3-642-33290-6_47 KW - information retrieval information retrieval systems Semantic Web Social networking (online) text analysis PB - Springer-Verlag PY - 2012 SP - 426-32 ST - Exploiting the social and semantic web for guided web archiving T3 - Theory and Practice of Digital Libraries. Second International Conference, TPDL 2012. Proceedings: LNCS 7489 TI - Exploiting the social and semantic web for guided web archiving UR - http://dx.doi.org/10.1007/978-3-642-33290-6_47 ID - 727 ER - TY - JOUR AB - OBJECTIVE: To determine whether the automatic classification of documents can be useful in systematic reviews on medical topics, and specifically if the performance of the automatic classification can be enhanced by using the particular protocol of questions employed by the human reviewers to create multiple classifiers. METHODS AND MATERIALS: The test collection is the data used in large-scale systematic review on the topic of the dissemination strategy of health care services for elderly people. From a group of 47,274 abstracts marked by human reviewers to be included in or excluded from further screening, we randomly selected 20,000 as a training set, with the remaining 27,274 becoming a separate test set. As a machine learning algorithm we used complement naive Bayes. We tested both a global classification method, where a single classifier is trained on instances of abstracts and their classification (i.e., included or excluded), and a novel per-question classification method that trains multiple classifiers for each abstract, exploiting the specific protocol (questions) of the systematic review. For the per-question method we tested four ways of combining the results of the classifiers trained for the individual questions. As evaluation measures, we calculated precision and recall for several settings of the two methods. It is most important not to exclude any relevant documents (i.e., to attain high recall for the class of interest) but also desirable to exclude most of the non-relevant documents (i.e., to attain high precision on the class of interest) in order to reduce human workload. RESULTS: For the global method, the highest recall was 67.8% and the highest precision was 37.9%. For the per-question method, the highest recall was 99.2%, and the highest precision was 63%. The human-machine workflow proposed in this paper achieved a recall value of 99.6%, and a precision value of 17.8%. CONCLUSION: The per-question method that combines classifiers following the specific protocol of the review leads to better results than the global method in terms of recall. Because neither method is efficient enough to classify abstracts reliably by itself, the technology should be applied in a semi-automatic way, with a human expert still involved. When the workflow includes one human expert and the trained automatic classifier, recall improves to an acceptable level, showing that automatic classification techniques can reduce the human workload in the process of building a systematic review. AU - Frunza, Oana AU - Inkpen, Diana AU - Matwin, Stan AU - Klement, William AU - O'Blenis, Peter DA - 2011/01//undefined DO - 10.1016/j.artmed.2010.10.005 IS - 1 J2 - Artif Intell Med KW - *Abstracting and Indexing as Topic *Artificial Intelligence *Bibliometrics *Databases, Bibliographic *Data Mining *Review Literature as Topic Aged Aged, 80 and over Algorithms Evidence-Based Medicine Health Services for the Aged Humans Pattern Recognition, Automated Publications/*classification Workflow L1 - internal-pdf://4204148803/Frunza-2011-Exploiting the systematic review p.pdf LA - eng PY - 2011 SN - 1873-2860 0933-3657 SP - 17-25 ST - Exploiting the systematic review protocol for classification of medical abstracts T2 - Artificial intelligence in medicine TI - Exploiting the systematic review protocol for classification of medical abstracts UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0933365710001247/1-s2.0-S0933365710001247-main.pdf?_tid=96876766-8335-11e6-a702-00000aacb360&acdnat=1474817866_f8561bb67a0e758daf8dbeec3cf2c28a VL - 51 ID - 184 ER - TY - CONF AB - The usage of non-scripted lecture videos as a part of learning material is becoming an everyday activity in most of higher education institutions due to the growing interest in flexible and blended education. Generally these videos are delivered as part of Learning Objects (LO) through various Learning Management Systems (LMS). Currently creating these video learning objects (VLO) is a cumbersome process. Because it requires thorough analyses of the lecture content for meta-data extraction and the extraction of the structural information for indexing and retrieval purposes. Current e-learning systems and libraries (such as libSCORM) lack the functionally for exploiting semantic content for automatic segmentation. Without the additional meta-data and structural information lecture videos thus do not provide the required level of interactivity required for flexible education. As a result, they fail to captivate students' attention for long time and thus their effective use remains a challenge. Exploiting visual actions present in non-scripted lecture videos can be useful for automatically segmenting and extracting the structure of these videos. Such visual cues help identify possible key frames, index points, key events and relevant meta-data useful for e-learning systems, video surrogates and video skims. We therefore, propose a multi-model action classification system for four predefined actions performed by instructor in lecture videos. These actions are writing, erasing, speaking and being idle. The proposed approach is based on human shape and motion analysis using motion history images (MHI) at different temporal resolutions allowing robust action classification. Additionally, it augments the visual features classification based on audio analysis which is shown to improve the overall action classification performance. The initial experimental results using recorded lecture videos gave an overall classification accuracy of 89.06%. We evaluated the performance of our approch to template matching using correlation and similitude and found nearly 30% improvement over it. These are very encouraging results that prove the validity of the approach and its potential in extracting structural information from instructional videos. AU - Imran, A. S. AU - Moreno, A. AU - Cheikh, F. A. C3 - 2012 Eighth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2012), 25-29 Nov. 2012 DA - 2012 DO - 10.1109/SITIS.2012.12 KW - Computer aided instruction educational aids Educational institutions feature extraction further education image classification image matching image motion analysis image recognition image resolution image segmentation indexing meta data video retrieval Video signal processing PB - IEEE PY - 2012 SP - 8-14 ST - Exploiting Visual Cues in Non-Scripted Lecture Videos for Multi-modal Action Recognition T3 - 2012 Eighth International Conference on Signal-Image Technology Internet-Based Systems (SITIS 2012) TI - Exploiting Visual Cues in Non-Scripted Lecture Videos for Multi-modal Action Recognition UR - http://dx.doi.org/10.1109/SITIS.2012.12 ID - 1566 ER - TY - JOUR AB - Chronic obstructive pulmonary disease (COPD) is an important respiratory disease with high mortality. Although smoking is the major environmental risk factor for the development of COPD, only 10% of heavy smokers develop symptomatic disease, suggesting association between genetic susceptibilities and environmental influences. In recent years, as one of the most widely studied genes including tests for associations between a genetic variant and COPD, epoxide hydrolase 1 (EPHX1) was found to be involved in the metabolism of tobacco smoke, an important risk factor of COPD. However, genetic associations with COPD identified in studies on EPHX1 are controversial. To address this issue, except for performing the meta-analysis, which specially added our current study on two polymorphisms (T337C and A416G) of EPHX1, we performed combined data mining based on functional prediction algorithms of nonsynonymous single-nucleotide polymorphisms and gene-based variable threshold testing. Genetic variations in EPHX1 did not affect COPD in Caucasian and Eastern Asian population, which is supported by recent evidence. We found no association between EPHX1 and COPD; however, a minor effect of EPHX1 on COPD risk was not completely excluded; further replication studies with large samples are needed to confirm our findings. AU - An, L. AU - Xia, H. AU - Zhou, P. AU - Hua, L. DA - 2016 DO - 10.4238/gmr.15028639 IS - 2 J2 - Genet Mol Res L1 - internal-pdf://1376710097/An-2016-Exploration of association between EPH.pdf LA - eng PY - 2016 SN - 1676-5680 1676-5680 ST - Exploration of association between EPHX1 and chronic obstructive pulmonary disease on the basis of combined data mining T2 - Genetics and molecular research : GMR TI - Exploration of association between EPHX1 and chronic obstructive pulmonary disease on the basis of combined data mining VL - 15 ID - 198 ER - TY - RPRT AB - Deposit lies in extreme southwest part of what would be sec 7, T 4 S, R 26 E, M D B and M, in eastern Madera County, Calif; history; property and ownership; apparently deposit is of replacement type, with magnetite replacing meta-andesite; small quantities of hematite noted in some isolated places on surface and in parts of cores; chip sampling and diamond core drilling; logs and core analyses. AU - Severy, C. L. CY - Washington, DC, United States DA - 1946 KW - California Iron deposits N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - United States Bureau of Mines PY - 1946 RP -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
SP - 12 ST - Exploration of minarets iron deposit Madera County, Calif TI - Exploration of minarets iron deposit Madera County, Calif ID - 465 ER - TY - CHAP A2 - Shi, Y. A2 - Dongarra, J. A2 - VanAlbada, G. D. A2 - Sloot, P. M. A. AB - With a very long history, traditional Chinese medicine (TCM) has a rich knowledge about human health and disease by its special way. To avoid losing lots of precious knowledge of TCM masters, endeavors have been engaged to keep down those knowledge of TCM masters, such as their growth experiences, effective practical cases toward sickness and typical treating methods and principles. In this paper, some computerized methods are applied toward those collected materials about some alive TCM masters in China mainland to show a different way of exposing essential ideas of those TCM masters which aims to help people understand the correspondence of TCM views toward disease and body, and facilitate tacit knowledge transfer. This work is one kind of qualitative meta-synthesis of TCM masters' knowledge. AU - Tang, Xijin AU - Zhang, Nan AU - Wang, Zheng PY - 2007 SN - 978-3-540-72589-3 SP - 35-42 ST - Exploration of TCM masters knowledge mining T2 - Computational Science - ICCS 2007, Pt 4, Proceedings TI - Exploration of TCM masters knowledge mining VL - 4490 ID - 2033 ER - TY - JOUR AB - Traditional Chinese medicine (TCM) has a rich knowledge about human health and disease by its special way evolved along a very long history. As modern medicine is achieving much progress, arguments and disputes toward TCM never end. To avoid losing precious knowledge of living TCM masters, endeavors have been engaged to systematic collection of those knowledge of TCM masters, such as their growth experiences, effective practical cases toward diseases and typical therapeutic principles and methods. Knowledge mining methods have been expected to explore some useful or hidden patterns to unveil some mysteries of the TCM system. In the paper, some computerized methods are applied toward those collected materials about some living TCM masters in China mainland to show a different way of exposing essential ideas of those TCM masters by correspondence visualization which aims to help people understand TCM holistic views toward disease and body, and facilitate tacit knowledge transfer and sense-making of the essence of TCM. The work is one kind of qualitative meta-synthesis of TCM masters' knowledge. AU - Xijin, Tang AU - Nan, Zhang AU - Zheng, Wang DA - 2008/03// DO - 10.1007/s11424-008-9064-3 IS - 1 J2 - Journal of Systems Science and Complexity KW - data mining data visualisation medical computing Medicine PY - 2008 SN - 1009-6124 SP - 34-45 ST - Exploration of TCM masters knowledge mining T2 - Journal of Systems Science and Complexity TI - Exploration of TCM masters knowledge mining UR - http://dx.doi.org/10.1007/s11424-008-9064-3 VL - 21 ID - 1527 ER - TY - JOUR AB - This article will be the current situation of small and medium-sized e-commerce web site design, Web site operators and promotion mode to do a detailed analysis. E-commerce Web mining process generally consists of three main stages, data preparation, mining operations, the results of expression and interpretation. Web mining can play a role in many aspects, such as the structure of the search engines to carry out excavation, to determine the authoritative pages, Web document classification, the Web log mining, Intelligent Query establish Meta Web data warehouse. The paper presents the building of e-commerce trading platform based on web data mining. AU - Feng, Xinling AU - Zhu, Cuiqing DA - 2012 DO - 10.4156/ijact.vol4.issue IS - 19 J2 - International Journal of Advancements in Computing Technology KW - Cluster Analysis data mining Data warehouses Electronic commerce mining Search Engines Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 20058039 SP - 444-452 ST - The exploration of Web data mining in E-commerce services T2 - International Journal of Advancements in Computing Technology TI - The exploration of Web data mining in E-commerce services UR - http://dx.doi.org/10.4156/ijact.vol4.issue%2019.53 VL - 4 ID - 1718 ER - TY - JOUR AB - Using data mining technology to analyze the application characteristics and laws of the meridian points in the treatment of post-stroke disorder with acupuncture and moxibustion in modern times. On the basis of the collection of the modern literatures about the treatment of post-stroke disorder with acupuncture and moxibustion, the database of acupuncture-moxibustion prescription was established. The relevance rule method in the data mining technology was mainly adopted to analyze the application characteristics and laws of the meridian points in the treatment of post-stroke disorder with acupuncture and moxibustion. Totally, 682 prescription of acupuncture and moxibustion were collected, including 253 acupoints and 5395 application frequency. The selected acupoints were distributed in the fourteen meridians and 76.5% (4128/5395) of them were on the four limbs and 13.8% (744/5395) were on the head and neck. The total application frequency of the yang meridians accounted for 74.7% (4029/5395) and the specific acupoints for 83.8% (4522/5395). It was indicated that in the treatment of post-stroke disorder with acupuncture and moxibustion, the acupoint selection was basically along the involved meridians, which was focused on the local affected areas and combined with the distal acupoints. The acupoints of the yang meridians were the first option, distributed mainly on the four limbs. The combination of yangming meridian and shaoyang meridian was the most common. The specific acupoints were the major components of the prescription, especially the crossing acupoints and the specific acupoints located below the elbows and knee joints. AU - Wu, Liang-Ting AU - Li, Ying AU - Ren, Yu-Lan DA - 2013/02//undefined IS - 2 J2 - Zhongguo Zhen Jiu KW - *Acupuncture Points *Acupuncture Therapy *Meridians *Moxibustion data mining Humans Stroke/complications/*therapy LA - chi PY - 2013 SN - 0255-2930 0255-2930 SP - 125-130 ST - [Exploration on the characteristics of meridian points in the treatment of post-stroke disorder with acupuncture and moxibustion based on the data mining technology] T2 - Zhongguo zhen jiu = Chinese acupuncture & moxibustion TI - [Exploration on the characteristics of meridian points in the treatment of post-stroke disorder with acupuncture and moxibustion based on the data mining technology] VL - 33 ID - 181 ER - TY - CONF AB - Exploring and annotating collections of images without meta-data is a laborious task. Visual analytics and information visualization can help users by providing interfaces for exploration and annotation. In this paper, we show a prototype application that allows users from the medical domain to use feature-based clustering to perform explorative browsing and annotation in an unsupervised manner. For this, we utilize global image feature extraction, different unsupervised clustering algorithms and hyperbolic tree representation. First, the prototype application extracts features from images or video frames, and then, one or multiple features at the same time can be used to perform clustering. The clusters are presented to the users as a hyperbolic tree for visual analysis and annotation. AU - Riegler, M. AU - Pogorelov, K. AU - Lux, M. AU - Halvorsen, P. AU - Griwodz, C. AU - de Lange, T. AU - Eskeland, S. L. C3 - 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI), 15-17 June 2016 DA - 2016 DO - 10.1109/CBMI.2016.7500271 KW - content-based retrieval data mining feature extraction medical image processing online front-ends pattern clustering tree data structures unsupervised learning PB - IEEE PY - 2016 SP - 4-pp. ST - Explorative hyperbolic-tree-based clustering tool for unsupervised knowledge discovery T3 - 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI) TI - Explorative hyperbolic-tree-based clustering tool for unsupervised knowledge discovery UR - http://dx.doi.org/10.1109/CBMI.2016.7500271 ID - 898 ER - TY - CHAP AB - Professional Search is usually a recall-oriented problem. For helping the user to get efficiently a concise overview, to quickly restrict the search space and to make sense of the results, in this article we present an exploratory strategy for professional search that is based on semantic post-analysis of the classical search results (of keyword based queries). The described strategy can exploit the metadata that are already available, as well as the results of textual clustering and entity mining that can be performed at query time. The outcome of this process (i.e. metadata, clusters and entities grouped in categories) complement the ranked list of results produced from the core search engine with useful information for the user. This extra information is useful not only for providing a concise overview of the search results, but also for supporting a faceted and session-based interaction scheme that allows the users to restrict their focus gradually and to explore other related information. To tackle the corresponding configuration requirements of this process, we show how one can exploit the (constantly evolving) Linked Data for specifying the entities of interest and for providing further information about the identified entities. In this article, apart from detailing the steps of this process, we present applications of this approach in the marine domain and in the domain of patent search. AU - Fafalios, P. AU - Tzitzikas, Y. CY - Cham, Switzerland KW - data mining meta data Search Engines Semantic Web PB - Springer International Publishing PY - 2014 SP - 166-92 ST - Exploratory Professional Search through Semantic Post-analysis of Search Results T2 - Professional Search in the Modern World. COST Action IC1002 on Multilingual and Multifaceted Interactive Information Access: LNCS 8830 TI - Exploratory Professional Search through Semantic Post-analysis of Search Results UR - http://dx.doi.org/10.1007/978-3-319-12511-4_9 ID - 1585 ER - TY - JOUR AB - Semi-structured documents are a common type of data containing free text in natural language (unstructured data) as well as additional information about the document, or meta-data, typically following a schema or controlled vocabulary (structured data). Simultaneous analysis of unstructured and structured data enables the discovery of hidden relationships that cannot be identified from either of these sources when analyzed independently of each other. In this work, we present a visual text analytics tool for semi-structured documents (ViTA-SSD), that aims to support the user in the exploration and finding of insightful patterns in a visual and interactive manner in a semi-structured collection of documents. It achieves this goal by presenting to the user a set of coordinated visualizations that allows the linking of the metadata with interactively generated clusters of documents in such a way that relevant patterns can be easily spotted. The system contains two novel approaches in its back end: a feature-learning method to learn a compact representation of the corpus and a fast-clustering approach that has been redesigned to allow user supervision. These novel contributions make it possible for the user to interact with a large and dynamic document collection and to perform several text analytical tasks more efficiently. Finally, we present two use cases that illustrate the suitability of the system for in-depth interactive exploration of semi-structured document collections, two user studies, and results of several evaluations of our text-mining components. 2015 ACM 2160-6455/2015/09-ART16 $15.00. AU - Soto, Axel J. AU - Kiros, Ryan AU - Keelj, Vlado AU - Milios, Evangelos DA - 2015 DO - 10.1145/2812115 IS - 3 J2 - ACM Transactions on Interactive Intelligent Systems KW - data mining Metadata Natural language processing systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 21606455 ST - Exploratory visual analysis and interactive pattern extraction from semi-structured data T2 - ACM Transactions on Interactive Intelligent Systems TI - Exploratory visual analysis and interactive pattern extraction from semi-structured data UR - http://dx.doi.org/10.1145/2812115 VL - 5 ID - 1213 ER - TY - CHAP A2 - Gries, S. T. A2 - Wulff, S. A2 - Davies, M. AB - We report on a project investigating the linguistic properties of English scientific texts on the basis of a corpus of journal articles from nine academic disciplines. The goal of the project is to gain insights on registers emerging at the boundaries of computer science and some other discipline (e.g., bioinformatics, computational linguistics, computational engineering). The questions we focus on in this paper are (a) how characteristic is the corpus of the meta-register it represents, and (b) how different/similar are the subcorpora in terms of the more specific registers they instantiate? We analyze the corpus using several data-mining techniques, including feature ranking, clustering, and classification, to see how the subcorpora group in terms of selected linguistic features. The results show that our corpus is well distinguished in terms of the meta-register of scientific writing; also, we find interesting distinctive features for the subcorpora as indicators of register diversification. Apart from presenting the results of our analyses, we will also reflect upon and assess the use of data mining for the tasks of corpus exploration and analysis. AU - Teich, Elke AU - Fankhauser, Peter PY - 2010 SN - 978-90-420-2800-5 SP - 233-247 ST - Exploring a corpus of scientific texts using data mining T2 - Corpus-Linguistic Applications Current Studies, New Directions TI - Exploring a corpus of scientific texts using data mining VL - 71 ID - 2014 ER - TY - JOUR AB - With the development of social media and social networks, user-generated content, such as forums, blogs and comments, are not only getting richer, but also ubiquitously interconnected with many other objects and entities, forming a heterogeneous information network between them. Sentiment analysis on such kinds of data can no longer ignore the information network, since it carries a lot of rich and valuable information, explicitly or implicitly, where some of them can be observed while others are not. However, most existing methods may heavily rely on the observed user-user friendship or similarity between objects, and can only handle a subgraph associated with a single topic. None of them takes into account the hidden and implicit dissimilarity, opposite opinions, and foe relationship. In this paper, we propose a novel information network-based framework which can infer hidden similarity and dissimilarity between users by exploring similar and opposite opinions, so as to improve post-level and user-level sentiment classification at the same time. More specifically, we develop a new meta path-based measure for inferring pseudo-friendship as well as dissimilarity between users, and propose a semi-supervised refining model by encoding similarity and dissimilarity from both user-level and post-level relations. We extensively evaluate the proposed approach and compare with several state-of-the-art techniques on two real-world forum datasets. Experimental results show that our proposed model with 10.5% labeled samples can achieve better performance than a traditional supervised model trained on 61.7% data samples. 2014 Wiley Periodicals, Inc. AU - Deng, Hongbo AU - Han, Jiawei AU - Li, Hao AU - Ji, Heng AU - Wang, Hongning AU - Lu, Yue DA - 2014 DO - 10.1002/sam.11223 IS - 4 J2 - Statistical Analysis and Data Mining KW - data mining Data processing Heterogeneous networks Information services Refining L1 - internal-pdf://2159154986/Deng-2014-Exploring and inferring user-user ps.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 19321864 SP - 308-321 ST - Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks T2 - Statistical Analysis and Data Mining TI - Exploring and inferring user-user pseudo-friendship for sentiment analysis with heterogeneous networks UR - http://dx.doi.org/10.1002/sam.11223 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/sam.11223/asset/sam11223.pdf?v=1&t=itirip8m&s=920ea7814f75ac4235de2cb9c8cb98e3b638c4dd VL - 7 ID - 1595 ER - TY - JOUR AB - Background: The semantic integration of biomedical resources is still a challenging issue which is required for effective information processing and data analysis. The availability of comprehensive knowledge resources such as biomedical ontologies and integrated thesauri greatly facilitates this integration effort by means of semantic annotation, which allows disparate data formats and contents to be expressed under a common semantic space. In this paper, we propose a multidimensional representation for such a semantic space, where dimensions regard the different perspectives in biomedical research (e.g., population, disease, anatomy and protein/genes). Results: This paper presents a novel method for building multidimensional semantic spaces from semantically annotated biomedical data collections. This method consists of two main processes: knowledge and data normalization. The former one arranges the concepts provided by a reference knowledge resource (e.g., biomedical ontologies and thesauri) into a set of hierarchical dimensions for analysis purposes. The latter one reduces the annotation set associated to each collection item into a set of points of the multidimensional space. Additionally, we have developed a visual tool, called 3D-Browser, which implements OLAP-like operators over the generated multidimensional space. The method and the tool have been tested and evaluated in the context of the Health-e-Child (HeC) project. Automatic semantic annotation was applied to tag three collections of abstracts taken from PubMed, one for each target disease of the project, the Uniprot database, and the HeC patient record database. We adopted the UMLS Meta-thesaurus 201OAA as the reference knowledge resource. Conclusions: Current knowledge resources and semantic-aware technology make possible the integration of biomedical resources. Such an integration is performed through semantic annotation of the intended biomedical data resources. This paper shows how these annotations can be exploited for integration, exploration, and analysis tasks. Results over a real scenario demonstrate the viability and usefulness of the approach, as well as the guality of the generated multidimensional semantic spaces. AU - Berlanga, R. AU - Jimenez-Ruiz, E. AU - Nebot, V. DA - 2012 DO - 10.1186/1471-2105-13-S1-S6 IS - suppl1 J2 - BMC Bioinformatics KW - data analysis data mining data structures data visualisation medical information systems ontologies (artificial intelligence) L1 - internal-pdf://4206140847/Berlanga-2012-Exploring and linking biomedical.pdf PY - 2012 SN - 1471-2105 SP - S6-(17 pp.) ST - Exploring and linking biomedical resources through multidimensional semantic spaces T2 - BMC Bioinformatics TI - Exploring and linking biomedical resources through multidimensional semantic spaces UR - http://www.biomedcentral.com/1471-210S/13/S1/S6 http://dx.doi.org/10.1186/1471-2105-13-S1-S6 https://www-ncbi-nlm-nih-gov.ezproxy.lib.vt.edu/pmc/articles/PMC3471347/pdf/1471-2105-13-S1-S6.pdf VL - 13 ID - 1245 ER - TY - JOUR AB - The self-reference effect (SRE) is the reliable memory advantage for information encoded about self over material encoded about other people. The developmental pathway of the SRE has proved difficult to chart, because the standard SRE task is unsuitable for young children. The current inquiry was designed to address this issue using an ownership paradigm, as encoding objects in the context of self-ownership have been shown to elicit self-referential memory advantages in adults. Pairs of 4-to 6-year-old children (n = 64) sorted toy pictures into self-and other-owned sets. A surprise recognition memory test revealed a significant advantage for toys owned by self, which decreased with age. Neither verbal ability nor theory of mind attainment predicted the size of the memory advantage for self-owned items. This finding suggests that contrary to some previous reports, memory in early childhood can be shaped by the same self-referential biases that pervade adult cognition. AU - Cunningham, Sheila J. AU - Vergunst, Francis AU - Macrae, C. Neil AU - Turk, David J. DA - 2013/09// DO - 10.1111/bjdp.12005 IS - 3 L1 - internal-pdf://0034740865/Cunningham-2013-Exploring early self-referenti.pdf PY - 2013 SN - 0261-510X SP - 289-301 ST - Exploring early self-referential memory effects through ownership T2 - British Journal of Developmental Psychology TI - Exploring early self-referential memory effects through ownership UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/bjdp.12005/asset/bjdp12005.pdf?v=1&t=itircnrn&s=c893d8bf5c1f2c91a5a3cd4d4cfba88224a4a65e VL - 31 ID - 2093 ER - TY - CONF AB - Automatic music classification aims at grouping unknown songs in predefined categories such as music genre or induced emotion. To obtain perceptually relevant results, it is needed to design appropriate features that carry important information for semantic inference. In this paper, we explore novel features and evaluate them in a task of music automatic tagging. The proposed features span various aspects of the music: timbre, textual metadata, visual descriptors of cover art, and features characterizing the lyrics of sung music. The merit of these novel features is then evaluated using a classification system based on a boosting algorithm on binary decision trees. Their effectiveness for the task at hand is discussed with reference to the very common Mel Frequency Cepstral Coefficients features. We show that some of these features alone bring useful information, and that the classification system takes great advantage of a description covering such diverse aspects of songs. AU - Foucard, R. AU - Essid, S. AU - Richard, G. AU - Lagrange, M. C3 - 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), 3-5 July 2013 DA - 2013 DO - 10.1109/WIAMIS.2013.6616154 KW - cepstral analysis decision trees identification technology meta data signal classification PB - IEEE PY - 2013 SP - 4-pp. ST - Exploring new features for music classification T3 - 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS) TI - Exploring new features for music classification UR - http://dx.doi.org/10.1109/WIAMIS.2013.6616154 ID - 774 ER - TY - CONF AB - This paper addresses the problem of tuning the performance of a metaheuristic search algorithm with respect to its parameters. The operational behavior of typical metaheuristic search algorithms is determined by a set of control parameters, which have to be fine-tuned in order to obtain a best performance for a given problem. The principle challenge here is how to provide meaningful settings for an algorithm, obtained as result of better insight in its behavior. In this context, we discuss the idea of learning a model of an algorithm behavior by data mining analysis of parameter tuning results. The study was conducted using the Differential Ant-Stigmergy Algorithm as an example metaheuristic search algorithm. AU - Tashkova, Katerina AU - ilc, Jurij AU - Koroec, Peter C3 - 5th International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2012, May 24, 2012 - May 25, 2012 DA - 2012 KW - Algorithms data mining Learning algorithms Optimization Parameter estimation N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Jozef Stefan Institute PY - 2012 SP - 151-162 ST - Exploring the parameter space of a search algorithm T3 - Proceedings of the 5th International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2012 TI - Exploring the parameter space of a search algorithm ID - 1168 ER - TY - CONF AB - Ensemble learning schemes are a new field in data mining. While current research concentrates mainly on improving the performance of single learning algorithms, an alternative is to combine learners with different biases. Stacking is the best-known such scheme which tries to combine learners' predictions or confidences via another learning algorithm. However, the adoption of stacking into the data mining community is hampered by its large parameter space, consisting mainly of other learning algorithms: (1) the set of learning algorithms to combine, (2) the meta-learner responsible for the combining; and (3) the type of meta-data to use - confidences or predictions. None of these parameters are obvious choices. Furthermore, little is known about the relation between the parameter settings and performance of stacking. By exploring all of stacking's parameter settings and their interdependencies, we attempt to make stacking a suitable choice for mainstream data mining applications. AU - Seewald, A. K. C3 - Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002, 9-12 Dec. 2002 DA - 2002 DO - 10.1109/ICDM.2002.1184029 KW - data mining learning (artificial intelligence) meta data Probability state-space methods PB - IEEE Comput. Soc. PY - 2002 SP - 685-8 ST - Exploring the parameter state space of stacking T3 - Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002 TI - Exploring the parameter state space of stacking UR - http://dx.doi.org/10.1109/ICDM.2002.1184029 ID - 1581 ER - TY - CONF AB - Tagging refers to the metadata that many users added in the form of keywords on photos, videos, and other resources for sharing the contents via the internet. However, there are several difficulties with tagging that come from tag variation, tag ambiguity and flat organization. This paper presents the integration of social tagging and the collaborative web search to improve users' or groups of users' satisfaction in search results. The characteristics of collaborative web search enable remote collaboration among small groups of users who are working either synchronously or asynchronously on web search tasks. Our main purpose is to analyze the users' behavior patterns from the search keywords obtained from the same and different groups of users. The patterns of web search behaviors are learned and used for generating the tag-based association rules. The results of analysis can be used to improve the quality of web search for a social search community. We designed and implemented a web application for effective use of tags to improve users' experience on web search. The users are asked to assign weights to the web links based on the relevancy of the web content to the tag. These weights are used to re-rank the original search results so that tags that best serving a user's needs are at the top of the ranked list. When a new user performs a web search, the system will generate a personalized tagging recommendation to the user for selection. AU - Romsaiyud, W. AU - Premchaiswadi, W. C3 - 2011 Third International Conference on Intelligent Networking and Collaborative Systems (INCoS 2011), 30 Nov.-2 Dec. 2011 DA - 2011 DO - 10.1109/INCoS.2011.91 KW - data mining groupware Internet meta data Resource allocation Search Engines Social networking (online) PB - IEEE Computer Society PY - 2011 SP - 313-19 ST - Exploring Web Search Behavior Patterns to Personalize the Search Results T3 - Proceedings of the 2011 Third International Conference on Intelligent Networking and Collaborative Systems (INCoS 2011) TI - Exploring Web Search Behavior Patterns to Personalize the Search Results UR - http://dx.doi.org/10.1109/INCoS.2011.91 ID - 1028 ER - TY - JOUR AB - Objective: Whether there is a difference in the exposure-response slope for lung cancer between mining workers and textile workers exposed to chrysotile has not been well documented. This study was carried out to evaluate exposure-specific lung cancer risks in Chinese chrysotile textile workers and mining workers. Subjects and methods: A chrysotile mining worker cohort and a chrysotile textile worker cohort were observed concurrently for 26 years. Information on workers' vital status, occupational history and smoking habits were collected, and causes and dates of deaths were verified from death registries. Individual cumulative fiber exposures were estimated based on periodic dust/fiber measurements from different workshops, job title and duration, and categorized into four levels (Q1-Q4). Standardized mortality ratios (SMRs) for lung cancer were calculated and stratified by industry and job title with reference of the national rates. Cox proportional hazard models were fit to estimate the exposure-specific lung cancer risks upon adjustment for age and smoking, in which an external control cohort consisting of industrial workers without asbestos exposure was used as reference group for both textile and mining workers. Results: SMRs were almost consistent with exposure levels in terms of job titles and workshops. A clear exposure-response relationship between lung cancer mortality and exposure levels was observed in both cohorts. At low exposure levels (Q1 and Q2), textile workers displayed higher death risks of lung cancer than mining workers. However, similarly considerably high risks were observed at higher exposure levels, with hazard ratios of over 8 and 11 at Q3 and Q4, respectively, for both textile and mining workers, after both age and smoking were adjusted. Conclusion: The chrysotile textile workers appeared to have a higher risk of lung cancer than the mining workers at a relatively low exposure level, but no difference was observed at a high exposure level, where both cohorts displayed a considerably high risk. (C) 2014 Elsevier Ireland Ltd. All rights reserved. AU - Wang, Xiaorong AU - Lin, Sihao AU - Yano, Eiji AU - Yu, Ignatius T. S. AU - Courtice, Midori AU - Lan, Yajia AU - Christiani, David C. DA - 2014/08// DO - 10.1016/j.lungcan.2014.04.011 IS - 2 PY - 2014 SN - 0169-5002 SP - 119-124 ST - Exposure-specific lung cancer risks in Chinese chrysotile textile workers and mining workers T2 - Lung Cancer TI - Exposure-specific lung cancer risks in Chinese chrysotile textile workers and mining workers VL - 85 ID - 2195 ER - TY - JOUR AB - The effective detection and management of muscle-invasive bladder Transition Cell Carcinoma (TCC) continues to be an urgent clinical challenge. While some differences of gene expression and function in papillary (Ta), superficial (T1) and muscle-invasive (>/=T2) bladder cancers have been investigated, the understanding of mechanisms involved in the progression of bladder tumors remains incomplete. Statistical methods of pathway-enrichment, cluster analysis and text-mining can extract and help interpret functional information about gene expression patterns in large sets of genomic data. The public availability of patient-derived expression microarray data allows open access and analysis of large amounts of clinical data. Using these resources, we investigated gene expression differences associated with tumor progression and muscle-invasive TCC. Gene expression was calculated relative to Ta tumors to assess progression-associated differences, revealing a network of genes related to Ras/MAPK and PI3K signaling pathways with increased expression. Further, we identified genes within this network that are similarly expressed in superficial Ta and T1 stages but altered in muscle-invasive T2 tumors, finding 7 genes (COL3A1, COL5A1, COL11A1, FN1, ErbB3, MAPK10 and CDC25C) whose expression patterns in muscle-invasive tumors are consistent in 5 to 7 independent outside microarray studies. Further, we found increased expression of the fibrillar collagen proteins COL3A1 and COL5A1 in muscle-invasive tumor samples and metastatic T24 cells. Our results suggest that increased expression of genes involved in mitogenic signaling may support the progression of muscle-invasive bladder tumors that generally lack activating mutations in these pathways, while expression changes of fibrillar collagens, fibronectin and specific signaling proteins are associated with muscle-invasive disease. These results identify potential biomarkers and targets for TCC treatments, and provide an integrated systems-level perspective of TCC pathobiology to inform future studies. AU - Ewald, Jonathan A. AU - Downs, Tracy M. AU - Cetnar, Jeremy P. AU - Ricke, William A. DA - 2013 DO - 10.1371/journal.pone.0055414 IS - 2 J2 - PLoS One KW - Aged Aged, 80 and over Blotting, Western Carcinoma, Transitional Cell/*genetics/pathology Computational Biology Fibrillar Collagens/metabolism Gene Expression Regulation, Neoplastic/*genetics Humans Immunohistochemistry Microarray Analysis Middle Aged Mitogen-Activated Protein Kinases/*metabolism Muscle, Skeletal/*pathology Neoplasm Invasiveness/pathology ras Proteins/*metabolism Signal Transduction/*genetics Urinary Bladder Neoplasms/*genetics/pathology L1 - internal-pdf://2893082030/Ewald-2013-Expression microarray meta-analysis.pdf LA - eng PY - 2013 SN - 1932-6203 1932-6203 SP - e55414 ST - Expression microarray meta-analysis identifies genes associated with Ras/MAPK and related pathways in progression of muscle-invasive bladder transition cell carcinoma T2 - PloS one TI - Expression microarray meta-analysis identifies genes associated with Ras/MAPK and related pathways in progression of muscle-invasive bladder transition cell carcinoma UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562183/pdf/pone.0055414.pdf VL - 8 ID - 71 ER - TY - JOUR AB - CDK8 and its paralog CDK19, in complex with CCNC, MED12 and MED13, are transcriptional regulators that mediate several carcinogenic pathways and the chemotherapy-induced tumor-supporting paracrine network. Following up on our previous observation that CDK8, CDK19 and CCNC RNA expression is associated with shorter relapse-free survival (RFS) in breast cancer, we now found by immunohistochemical analysis that CDK8/19 protein is overexpressed in invasive ductal carcinomas relative to non-malignant mammary tissues. Meta-analysis of transcriptomic data revealed that higher CDK8 expression is associated with shorter RFS in all molecular subtypes of breast cancer. These correlations were much stronger in patients who underwent systemic adjuvant therapy, suggesting that CDK8 impacts the failure of systemic therapy. The same associations were found for CDK19, CCNC and MED13. In contrast, MED12 showed the opposite association with a longer RFS. The expression levels of CDK8 in breast cancer samples were directly correlated with the expression of MYC, as well as CDK19, CCNC and MED13 but inversely correlated with MED12. CDK8, CDK19 and CCNC expression was strongly increased and MED12 expression was decreased in tumors with mutant p53. Gene amplification is the most frequent type of genetic alterations of CDK8, CDK19, CCNC and MED13 in breast cancers (9.7% of which have amplified MED13), whereas point mutations are more common in MED12. These results suggest that the expression of CDK8 and its interactive genes has a profound impact on the response to adjuvant therapy in breast cancer in accordance with the role of CDK8 in chemotherapy-induced tumor-supporting paracrine activities. AU - Broude, Eugenia V. AU - Gyoerffy, Balazs AU - Chumanevich, Alexander A. AU - Chen, Mengqian AU - McDermott, Martina S. J. AU - Shtutman, Michael AU - Catroppo, James F. AU - Roninson, Igor B. DA - 2015 DO - 10.2174/156800961508151001105814 IS - 8 L1 - internal-pdf://2886756951/Broude-2015-Expression of CDK8 and CDK8-intera.pdf PY - 2015 SN - 1568-0096 SP - 739-749 ST - Expression of CDK8 and CDK8-interacting Genes as Potential Biomarkers in Breast Cancer T2 - Current Cancer Drug Targets TI - Expression of CDK8 and CDK8-interacting Genes as Potential Biomarkers in Breast Cancer UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4755306/pdf/nihms758202.pdf VL - 15 ID - 1950 ER - TY - CONF AB - The proceedings contain 62 papers. The special focus in this conference is on Semantic Web. The topics include: Finding concept coverings in aligning ontologies of linked data; capturing interactive data transformation operations using provenance workflows; representing interoperable provenance descriptions for ETL workflows; using SPIN to formalise XBRL accounting regulations on the semantic web; an ontology-based opinion mining approach for the financial domain; interacting with statistical linked data via OLAP operations; evaluating semantic search systems to identify future directions of research; the DyKOSMap approach for analyzing and supporting the mapping maintenance problem in biomedical knowledge organization systems; effective composition of mappings for matching biomedical ontologies; semantic interoperability between clinical research and healthcare; social media matrix matching corporate goals with external social media activities; online open neuroimaging mass meta-analysis with a wiki; enabling semantic search in large open source communities; an approach for efficiently combining real-time and past events for ubiquitous business processing; SDDS based hierarchical DHT systems for an efficient resource discovery in data grid systems; a Javascript wrapper for easy visualization of SPARQL result sets; semantic content management with apache Stanbol; nobody wants to live in a cold city where no music has been recorded; web-based interactive semantic platform for paper annotation and ontology editing; a demo for efficient human attention detection based on semantics and complex event processing and personalized environmental service configuration and delivery orchestration. C3 - Extended Semantic Web Conference, ESWC 2012, May 27, 2012 - May 31, 2012 DA - 2015 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 1-526 ST - Extended Semantic Web Conference, ESWC 2012 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Extended Semantic Web Conference, ESWC 2012 VL - 7540 ID - 732 ER - TY - CONF AB - The association rules algorithms can be used for describing textures if an appropriate texture representation formalism is used. This representation has several good properties like invariance to global lightness and invariance to rotation. Association rules capture structural and statistical information and are very convenient to identify the structures that occur most frequently and have the most discriminative power. This paper presents the extended textural features which are based on association rules. We extend the basic textural features of our algorithm ArTex in three ways, using (a) various interestingness measures, (b) the multi-resolution approach, and (c) the meta-parameters. Results of our experiments show that the extended representation improves the utility of basic textural features and often gives better results, comparable to standard texture descriptions. AU - Kononenko, Igor AU - Bevk, Matjaz DA - 2009 KW - Algorithms Association rules Associative processing Multiresolution analysis Textures N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Slovene Society Informatika PY - 2009 SN - 03505596 SP - 487-497 ST - Extended symbolic mining of textures with association rules T3 - Informatica (Ljubljana) TI - Extended symbolic mining of textures with association rules VL - 33 ID - 1262 ER - TY - JOUR AB - Class retrieval in gene expression microarray data analysis is highly challenging task. Because of high class imbalance, highly dimensional feature space and small number of samples most of the algorithms fail to capture real complex structures in data (`golden standard'). Therefore, one of the major problems in this area is selection of the best suited algorithm for data at hand. We address this problem by proposing an extended meta-learning framework for ranking and selection of algorithms for clustering gene expression microarray data. Proposed framework introduces several improvements compared to the original one: extended algorithm space, extended meta-feature space and introduction of cutting edge techniques for meta-feature selection and parameter optimisation of meta-algorithms. System was evaluated on large algorithm and problem space (504 algorithms and 30 datasets) and showed very promising results in prediction of algorithm performance for specific problems. AU - Vukicevic, M. AU - Radovanovic, S. AU - Delibasic, B. AU - Suknovic, M. DA - 2016 IS - 2 J2 - International Journal of Data Mining and Bioinformatics KW - biology computing feature selection learning (artificial intelligence) pattern clustering PY - 2016 SN - 1748-5673 SP - 101-19 ST - Extending meta-learning framework for clustering gene expression data with component-based algorithm design and internal evaluation measures T2 - International Journal of Data Mining and Bioinformatics TI - Extending meta-learning framework for clustering gene expression data with component-based algorithm design and internal evaluation measures VL - 14 ID - 1560 ER - TY - CONF AB - Comprehensive data analysis has become indispensable in a variety of environments. Standard OLAP (online analytical processing) systems, designed for satisfying the reporting needs of the business, tend to perform poorly or even fail when applied in non-business domains such as medicine, science, or government. The underlying multidimensional data model is restricted to aggregating only over summarizable data, i.e. where each dimensional hierarchy is a balanced tree. This limitation, obviously too rigid for a number of applications, has to be overcome in order to provide adequate OLAP support for novel domains. We present a framework for querying complex multidimensional data, with the major effort at the conceptual level as to transform irregular hierarchies to make them navigable in a uniform manner. We provide a classification of various behaviors in dimensional hierarchies, followed by our two-phase modeling method that proceeds by eliminating irregularities in the data with subsequent transformation of a complex hierarchical schema into a set of well-behaved sub-dimensions. Mapping of the data to a visual OLAP browser relies solely on metadata which captures the properties of facts and dimensions as well as the relationships across dimensional levels. Visual navigation is schema-based, i.e., users interact with dimensional levels and the data instances are displayed on-demand. The power of our approach is exemplified using a real-world study from the domain of academic administration. AU - Mansmann, S. AU - Scholl, M. H. C3 - Data Warehousing and Knowledge Discovery. 8th International Conference, DaWaK 2006. Proceedings, 4-8 Sept. 2006 DA - 2006 KW - data analysis data mining meta data pattern classification tree data structures User interfaces visual databases PB - Springer-Verlag PY - 2006 SP - 95-105 ST - Extending visual OLAP for handling irregular dimensional hierarchies T3 - Data Warehousing and Knowledge Discovery. 8th International Conference, DaWaK 2006. Proceedings (Lecture Notes in Computer Science Vol. 4081) TI - Extending visual OLAP for handling irregular dimensional hierarchies ID - 1189 ER - TY - CONF AB - The Animal QTLdb was created to warehouse, compare and facilitate meta-analyses of QTL results from multiple, independent experiments. To date, more than 13,930 cattle, chicken, pigs and sheep QTL have been curated into the database. A number of meta-analysis studies have been carried out in several livestock species, but the results are not readily comparable due to the use of different models and scenarios for statistical inference in these studies. Each analysis is not only time consuming, but also not trivial for a biologist to rerun when new data are added. On the other hand, the continuing rapid increase of QTL data demands a better and faster way to combine QTL data in order to speed up the discovery of causal variants that underlie each QTL. We have implemented two simple, non-parametric meta-analysis methods to perform real-time QTL meta-analysis on the fly. One method is a simple plot of QTL counts at each centiMorgan (cM) along a chromosome; the other method is a kernel density distribution plot of such counts. In both methods, the presence of QTL is computed to indicate the most likely QTL locations supported by available data. This function is available on the QTLdb when users visualize a QTL relative to a chromosome of cattle, chicken, pig or sheep. We are actively working to implement more practical and robust meta-analysis methods to facilitate better focused QTL data mining. Copyright 2011 ACM. AU - Hu, Zhi-Liang AU - Wu, Xiao-Lin AU - Reecy, James M. C3 - 2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, ACM-BCB 2011, August 1, 2011 - August 3, 2011 DA - 2011 DO - 10.1145/2147805.2147874 KW - Agriculture Animals bioinformatics Chromosomes Wool N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2011 SP - 475-477 ST - Extension of Animal QTLdb: QTL meta-analysis on the fly T3 - 2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, BCB 2011 TI - Extension of Animal QTLdb: QTL meta-analysis on the fly UR - http://dx.doi.org/10.1145/2147805.2147874 http://dl.acm.org/citation.cfm?doid=2147805.2147874 ID - 1779 ER - TY - CONF AB - Effective management of bibliographic information and citations of relevant work in an appropriate manner is considered as an integral part of all scholarly articles. To ease the process of literature management and to facilitate researchers, several reference managers have been developed offering different features. Almost all reference managers support extraction of metadata from articles but unfortunately very few provide facility of extraction of full-text from articles, their sub sections search and parsing of citations. Being a researcher, management of references is one of the most complicated aspects. Thus to smooth the progress of researchers, scholarly articles organizer is introduced in this paper as an extension of already developed open source reference manager Jab Ref. The proposed extension of Jab Ref basically performs the management, organization and processing of academic papers. And it has the special features of content reading, metadata extraction, citation parsing, relevant Bib TeX entry fetching and linking of In-Cite and Out-Cite information. Keeping in view the fact that scholarly objects basically represent research output in the form of metadata, parsed contents and citations. Accompanying Bib TeX entries with scholarly objects is really important because it can be easily handled by the end-users and can be read automatically by many repositories and several other tools. Thus the key inspiration behind the designing of the proposed add-on is to enhance the functionality of Jab Ref by reducing the complexities involve in handling academic literature and simplifying the process. AU - Amjad, S. AU - Mukhtar, H. AU - Malik, M. C3 - 2014 12th International Conference on Frontiers of Information Technology (FIT), 17-19 Dec. 2014 DA - 2014 DO - 10.1109/FIT.2014.53 KW - bibliographic systems Citation Analysis information retrieval meta data public domain software PB - IEEE Computer Society PY - 2014 SP - 245-50 ST - An Extension to JabRef for Extraction and Processing of Scholarly Articles T3 - 2014 12th International Conference on Frontiers of Information Technology (FIT) TI - An Extension to JabRef for Extraction and Processing of Scholarly Articles UR - http://dx.doi.org/10.1109/FIT.2014.53 ID - 703 ER - TY - JOUR AB - A focus on novel, confirmatory, and statistically significant results leads to substantial bias in the scientific literature. One type of bias, known as "p-hacking," occurs when researchers collect or select data or statistical analyses until nonsignificant results become significant. Here, we use text-mining to demonstrate that p-hacking is widespread throughout science. We then illustrate how one can test for p-hacking when performing a meta-analysis and show that, while p-hacking is probably common, its effect seems to be weak relative to the real effect sizes being measured. This result suggests that p-hacking probably does not drastically alter scientific consensuses drawn from meta-analyses. AU - Head, Megan L. AU - Holman, Luke AU - Lanfear, Rob AU - Kahn, Andrew T. AU - Jennions, Michael D. DA - 2015/03//undefined DO - 10.1371/journal.pbio.1002106 IS - 3 J2 - PLoS Biol KW - *Meta-Analysis as Topic *Publication Bias Humans Science/*ethics/statistics & numerical data Statistics as Topic L1 - internal-pdf://1569115921/Head-2015-The extent and consequences of p-hac.pdf LA - eng PY - 2015 SN - 1545-7885 1544-9173 SP - e1002106 ST - The extent and consequences of p-hacking in science T2 - PLoS biology TI - The extent and consequences of p-hacking in science UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359000/pdf/pbio.1002106.pdf VL - 13 ID - 10 ER - TY - CONF AB - The motivation behind the research has been to identify, and where possible, minimize or eliminate potential problem areas facing NASA in its mission of gathering and analyzing remotely-sensed imagery in both Earth and space disciplines. Managing and extracting useful information from the massive image databases resulting from such missions is a challenging task for NASA. The key to real-time archival and retrieval of this massive image data lies in the notion of content based image data management. Two major steps are involved in this process. The first one is to automatically extract image content or meta-data from satellite imagery. The second one is to organize this database to permit users from numerous disciplines and communities to access data relevant to their needs. Accordingly, each data set is indexed in multiple ways, enabling users to retrieve images by specifying constraints over a combination of attributes. One such method provides users the ability to search the data holdings using a metric of similarity in content so that neighboring images in the database have a high probability of hit when queried for a specific type of meta-data content. An important area of research is therefore to compute and evaluate similarity measures for images. The authors present a backpropagation neural network based technique to classify a multispectral satellite image and extract a similarity measure using the meta-data classification content. AU - Raghavan, S. AU - Cromp, R. AU - Srinivasan, S. AU - Poovendran, R. AU - Campbell, W. J. AU - Kanal, L. C3 - 25th AIPR Workshop. Emerging Applications of Computer Vision, 16-18 Oct. 1996 DA - 1997 DO - 10.1117/12.267841 KW - backpropagation data analysis Geographic information systems geophysical signal processing geophysics computing image classification indexing neural nets query processing real-time systems REMOTE SENSING very large databases visual databases PB - SPIE-Int. Soc. Opt. Eng. PY - 1997 SN - 0277-786X SP - 78-91 ST - Extracting an image similarity index using meta-data content for image mining applications T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE - Int. Soc. Opt. Eng. (USA) TI - Extracting an image similarity index using meta-data content for image mining applications UR - http://dx.doi.org/10.1117/12.267841 VL - 2962 ID - 1726 ER - TY - CONF AB - Online discussions became increasingly widespread with the Web 2.0: no matter the distance, whether you know the person or not, you can discuss and exchange ideas with people all over the world through forums, blogs, and newsgroups. The news websites have extensively used forums in order to encourage the reader being a real participant in the information media. This paper aims at automatically extracting the celebrities from such discussions. We propose certain meta-criteria and we provide an evaluation on a dataset of 35,175 posts written by 14,443 users. The results show that one of the proposed meta-criteria succeeds in extracting celebrities and allows for further improvements. 2012 IEEE. AU - Forestier, Mathilde AU - Velcin, Julien AU - Stavrianou, Anna AU - Zighed, Djamel C3 - 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, August 26, 2012 - August 29, 2012 DA - 2012 DO - 10.1109/ASONAM.2012.61 KW - Computer Networks Information systems Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 322-326 ST - Extracting celebrities from online discussions T3 - Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 TI - Extracting celebrities from online discussions UR - http://dx.doi.org/10.1109/ASONAM.2012.61 ID - 532 ER - TY - CONF AB - Scientific research reports usually contain a list of citations on previous related works. Therefore an automatic citation tool is an essential component of a digital library of scientific literatures. Due to variations in formats, it is difficult to automatically transform semistructured citation data into structured citations. Some digital library institutes, like ResearchIndex (CiteSeer) or OpCit, have attempted automatic citation parsing. In order to recognize metadata, e.g., authors, title, journal, etc., of a citation string, we present a new methodology based on protein sequence alignment tool. We also develop a template generating system to transform known semistructured citation strings into protein sequences. These protein sequences are then saved as templates in a database. A new semistructured citation string is also translated it into a protein sequence. We then use BLAST (Basic Local Alignment Search Tool), a sequence alignment tool, to match for the most similar template to the new protein sequence from the template database previously constructed. We then parse metadata of the citation string according to the template. In our experiment, 2,500 templates are generated by our template generating system. By parsing all of these 2,500 citations using our parsing system, we obtain 89% precision rate. However, using the same template database to train ParaTools, 79% precision rate is obtained. Note that the original ParaTools using its default template database, which contains about 400 templates, only obtains 30% precision rate. AU - Huang, I. Ane AU - Jan-Ming, Ho AU - Hung-Yu, Kao AU - Wen-Chang, Lin C3 - Advances in Knowledge Discovery and Data Mining. 8th Pacific-Asia Conference, PAKDD 2004. Proceedings, 26-28 May 2004 DA - 2004 KW - bibliographic systems Citation Analysis Digital Libraries Electronic publishing grammars information retrieval Internet meta data Proteins PB - Springer-Verlag PY - 2004 SP - 539-48 ST - Extracting citation metadata from online publication lists using BLAST T3 - Advances in Knowledge Discovery and Data Mining. 8th Pacific-Asia Conference, PAKDD 2004. Proceedings (Lecture Notes in Artificial Intelligence Vol.3056) TI - Extracting citation metadata from online publication lists using BLAST ID - 798 ER - TY - CONF AB - Wikipedia is widely considered the largest and most up-to-date online encyclopedia, with its content being continuously maintained by a supporting community. In many cases, real-life events like new scientific findings, resignations, deaths, or catastrophes serve as triggers for collaborative editing of articles about affected entities such as persons or countries. In this paper, we conduct an in-depth analysis of event-related updates in Wikipedia by examining different indicators for events including language, meta annotations, and update bursts. We then study how these indicators can be employed for automatically detecting event-related updates. Our experiments on event extraction, clustering, and summarization show promising results towards generating entity-specific news tickers and timelines. AU - Georgescu, M. AU - Kanhabua, N. AU - Krause, D. AU - Nejdl, W. AU - Siersdorfer, S. C3 - Advances in Information Retrieval. 35th European Conference on IR Research, ECIR 2013, 24-27 March 2013 DA - 2013 DO - 10.1007/978-3-642-36973-5_22 KW - Electronic publishing encyclopaedias pattern clustering Web sites PB - Springer Verlag PY - 2013 SP - 254-66 ST - Extracting Event-Related Information from Article Updates in Wikipedia T3 - Advances in Information Retrieval. 35th European Conference on IR Research, ECIR 2013. Proceedings TI - Extracting Event-Related Information from Article Updates in Wikipedia UR - http://dx.doi.org/10.1007/978-3-642-36973-5_22 ID - 845 ER - TY - BOOK AB - Information Harvest WArehouse (IHWA) is a web-based information search system. It is designed using the Component Based Software Engineering (CBSE) paradigm, where applications are to be developed by integrating server-side EJB and client-side JCC components. Currently, the search system is under a major reconstruction in order to be more general and robust, and to be ready for evolving Electronic Commerce demands. In this paper, we describe the development of the meta-information gathering service of IHWA (Meta Gatherer), which collects and extracts information from semi-structured or unstructured data sources. Focus is on the development of the information extraction service of the gatherer from semi-structured (DTD-unknown XML data) Internet information sources. The information extraction module implemented provides clean Java programming interfaces, so that it can be easily integrated with other applications. Its implementation is an efficient one as well, since it analyzes a source XML file in one path, where most other systems use two paths approach. AU - Jeong, J. S. AU - Oh, D. I. DA - 2001 PY - 2001 SN - 0-7803-7090-2 ST - Extracting information from semi-structured Internet sources TI - Extracting information from semi-structured Internet sources ID - 2228 ER - TY - CONF AB - Much currently transmitted information takes the form of e-mails or SMS text messages and so extracting information from such short messages is increasingly important. The words in a message can be partitioned into the syntactic structure, terms from the domain of discourse and the data being transmitted. This paper describes a light-weight information extraction component which uses pattern matching to separate the three aspects: the structure is supplied as a template; domain terms are the metadata of a data source (or their synonyms), and data is extracted as those words matching placeholders in the templates. AU - Cooper, R. AU - Ali, S. AU - Bi, C. C3 - Natural Language Processing and Information Systems. 10th International Conference on Applications of Natural Language to Information Systems, NLDB 2005. Proceedings, 15-17 June 2005 DA - 2005 KW - Electronic mail electronic messaging meta data Pattern matching text analysis PB - Springer-Verlag PY - 2005 SP - 388-91 ST - Extracting information from short messages T3 - Natural Language Processing and Information Systems. 10th International Conference on Applications of Natural Language to Information Systems, NLDB 2005. Proceedings (Lecture Notes in Computer Science Vol. 3513) TI - Extracting information from short messages ID - 831 ER - TY - JOUR AB - OBJECTIVES: We examine recent published research on the extraction of information from textual documents in the Electronic Health Record (EHR). METHODS: Literature review of the research published after 1995, based on PubMed, conference proceedings, and the ACM Digital Library, as well as on relevant publications referenced in papers already included. RESULTS: 174 publications were selected and are discussed in this review in terms of methods used, pre-processing of textual documents, contextual features detection and analysis, extraction of information in general, extraction of codes and of information for decision-support and enrichment of the EHR, information extraction for surveillance, research, automated terminology management, and data mining, and de-identification of clinical text. CONCLUSIONS: Performance of information extraction systems with clinical text has improved since the last systematic review in 1995, but they are still rarely applied outside of the laboratory they have been developed in. Competitive challenges for information extraction from clinical text, along with the availability of annotated clinical text corpora, and further improvements in system performance are important factors to stimulate advances in this field and to increase the acceptance and usage of these systems in concrete clinical and biomedical research contexts. AU - Meystre, S. M. AU - Savova, G. K. AU - Kipper-Schuler, K. C. AU - Hurdle, J. F. DA - 2008 J2 - Yearb Med Inform KW - *Medical Records Systems, Computerized *Natural Language Processing Biomedical Research/methods Humans Information Storage and Retrieval/*methods Population Surveillance/methods Vocabulary, Controlled L1 - https://www.eecis.udel.edu/~shatkay/Course/papers/UEHROverview2008.pdf LA - eng PY - 2008 SN - 0943-4747 0943-4747 SP - 128-144 ST - Extracting information from textual documents in the electronic health record: a review of recent research T2 - Yearbook of medical informatics TI - Extracting information from textual documents in the electronic health record: a review of recent research ID - 291 ER - TY - JOUR AB - BACKGROUND: Electronic medical records (EMRs) are revolutionizing health-related research. One key issue for study quality is the accurate identification of patients with the condition of interest. Information in EMRs can be entered as structured codes or unstructured free text. The majority of research studies have used only coded parts of EMRs for case-detection, which may bias findings, miss cases, and reduce study quality. This review examines whether incorporating information from text into case-detection algorithms can improve research quality. METHODS: A systematic search returned 9659 papers, 67 of which reported on the extraction of information from free text of EMRs with the stated purpose of detecting cases of a named clinical condition. Methods for extracting information from text and the technical accuracy of case-detection algorithms were reviewed. RESULTS: Studies mainly used US hospital-based EMRs, and extracted information from text for 41 conditions using keyword searches, rule-based algorithms, and machine learning methods. There was no clear difference in case-detection algorithm accuracy between rule-based and machine learning methods of extraction. Inclusion of information from text resulted in a significant improvement in algorithm sensitivity and area under the receiver operating characteristic in comparison to codes alone (median sensitivity 78% (codes + text) vs 62% (codes), P = .03; median area under the receiver operating characteristic 95% (codes + text) vs 88% (codes), P = .025). CONCLUSIONS: Text in EMRs is accessible, especially with open source information extraction algorithms, and significantly improves case detection when combined with codes. More harmonization of reporting within EMR studies is needed, particularly standardized reporting of algorithm accuracy metrics like positive predictive value (precision) and sensitivity (recall). AU - Ford, Elizabeth AU - Carroll, John A. AU - Smith, Helen E. AU - Scott, Donia AU - Cassell, Jackie A. DA - 2016/09//undefined DO - 10.1093/jamia/ocv180 IS - 5 J2 - J Am Med Inform Assoc KW - case detection data quality electronic health records review text mining L1 - internal-pdf://1292413412/Ford-2016-Extracting information from the text.pdf LA - eng PY - 2016 SN - 1527-974X 1067-5027 SP - 1007-1015 ST - Extracting information from the text of electronic medical records to improve case detection: a systematic review T2 - Journal of the American Medical Informatics Association : JAMIA TI - Extracting information from the text of electronic medical records to improve case detection: a systematic review UR - http://jamia.oxfordjournals.org/content/jaminfo/23/5/1007.full.pdf VL - 23 ID - 92 ER - TY - JOUR AB - Background: Research into event-based text mining from the biomedical literature has been growing in popularity to facilitate the development of advanced biomedical text mining systems. Such technology permits advanced search, which goes beyond document or sentence-based retrieval. However, existing event-based systems typically ignore additional information within the textual context of events that can determine, amongst other things, whether an event represents a fact, hypothesis, experimental result or analysis of results, whether it describes new or previously reported knowledge, and whether it is speculated or negated. We refer to such contextual information as meta-knowledge. The automatic recognition of such information can permit the training of systems allowing finer-grained searching of events according to the meta-knowledge that is associated with them.Results: Based on a corpus of 1,000 MEDLINE abstracts, fully manually annotated with both events and associated meta-knowledge, we have constructed a machine learning-based system that automatically assigns meta-knowledge information to events. This system has been integrated into EventMine, a state-of-the-art event extraction system, in order to create a more advanced system (EventMine-MK) that not only extracts events from text automatically, but also assigns five different types of meta-knowledge to these events. The meta-knowledge assignment module of EventMine-MK performs with macro-averaged F-scores in the range of 57-87% on the BioNLP'09 Shared Task corpus. EventMine-MK has been evaluated on the BioNLP'09 Shared Task subtask of detecting negated and speculated events. Our results show that EventMine-MK can outperform other state-of-the-art systems that participated in this task.Conclusions: We have constructed the first practical system that extracts both events and associated, detailed meta-knowledge information from biomedical literature. The automatically assigned meta-knowledge information can be used to refine search systems, in order to provide an extra search layer beyond entities and assertions, dealing with phenomena such as rhetorical intent, speculations, contradictions and negations. This finer grained search functionality can assist in several important tasks, e.g., database curation (by locating new experimental knowledge) and pathway enrichment (by providing information for inference). To allow easy integration into text mining systems, EventMine-MK is provided as a UIMA component that can be used in the interoperable text mining infrastructure, U-Compare. 2012 Miwa et al.; licensee BioMed Central Ltd. AU - Miwa, Makoto AU - Thompson, Paul AU - McNaught, John AU - Kell, Douglas B. AU - Ananiadou, Sophia DA - 2012 DO - 10.1186/1471-2105-13-108 IS - 1 J2 - BMC Bioinformatics KW - data mining Interoperability Mining machinery Natural language processing systems Search Engines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 14712105 ST - Extracting semantically enriched events from biomedical literature T2 - BMC Bioinformatics TI - Extracting semantically enriched events from biomedical literature UR - http://dx.doi.org/10.1186/1471-2105-13-108 VL - 13 ID - 1219 ER - TY - JOUR AB - System call information has been one of the most important candidates for intrusion detection and forensic analysis research during the last several years. This paper focuses on extraction of system call information in terms of system call identifier from within the VFS layer of the Linux kernel. Treating the kernel as a trusted computing base, issues of accurate, authentic extraction of file timestamp metadata has been addressed in Das et al. (2012). In this research, we propose a method to extract the system call identifier from the kernel stack with an intention to strengthen the file timestamp metadata log with the system call identifier of the system call 'for which' the file timestamp metadata log is taken. This ensures a tight coupling based correlation between file timestamp extraction and identification of the event responsible for such an access, from within the kernel. AU - Das, S. AU - Chatterjee, D. AU - Ghosh, D. AU - Debnath, N. C. DA - 2014 DO - 10.1504/IJICS.2014.059786 IS - 1 J2 - International Journal of Information and Computer Security KW - Linux meta data operating system kernels trusted computing PY - 2014 SN - 1744-1765 SP - 12-50 ST - Extracting the system call identifier from within VFS: a kernel stack parsing-based approach T2 - International Journal of Information and Computer Security TI - Extracting the system call identifier from within VFS: a kernel stack parsing-based approach UR - http://dx.doi.org/10.1504/IJICS.2014.059786 VL - 6 ID - 754 ER - TY - BOOK A3 - Cai, Z. A2 - Yan, X. A2 - Liu, Y. A2 - Kang, L. AB - Recently, Radio Frequency Identification (RFID) technology is being deployed for several applications, including supply-chain optimization, business process automation, asset tracking, and problem traceability applications. The problem with RFID data is that its degree increases according to time and location, thus, resulting in an enormous volume of data duplication. Therefore it is difficult to extract useful knowledge hidden in data using existing association rule mining techniques, or analyze data using statistical techniques or queries. The mining method proposed in this paper improves mining of association rules by defining meta-rules and only uses user specified parameters, viz. minsup and minconf. Also, it reduces the complexity of rule generation by using a pre-defined meta-rule to limit the generation of association rules to the level of interest to the consumer, instead of the entire concept hierarchy. As a result, rule generation time is reduced and there is a significant increase in query speed, due to filtering of data. AU - Kim, Younghee AU - Kim, Ungmo DA - 2008 PY - 2008 SN - 978-7-5625-2303-1 ST - Extraction of Meta-Rules for RFID Mining Based on a Concept Hierarchy TI - Extraction of Meta-Rules for RFID Mining Based on a Concept Hierarchy ID - 2197 ER - TY - JOUR AB - Drug-drug interaction (DDI) is a major cause of morbidity and mortality and a subject of intense scientific interest. Biomedical literature mining can aid DDI research by extracting evidence for large numbers of potential interactions from published literature and clinical databases. Though DDI is investigated in domains ranging in scale from intracellular biochemistry to human populations, literature mining has not been used to extract specific types of experimental evidence, which are reported differently for distinct experimental goals. We focus on pharmacokinetic evidence for DDI, essential for identifying causal mechanisms of putative interactions and as input for further pharmacological and pharmacoepidemiology investigations. We used manually curated corpora of PubMed abstracts and annotated sentences to evaluate the efficacy of literature mining on two tasks: first, identifying PubMed abstracts containing pharmacokinetic evidence of DDIs; second, extracting sentences containing such evidence from abstracts. We implemented a text mining pipeline and evaluated it using several linear classifiers and a variety of feature transforms. The most important textual features in the abstract and sentence classification tasks were analyzed. We also investigated the performance benefits of using features derived from PubMed metadata fields, various publicly available named entity recognizers, and pharmacokinetic dictionaries. Several classifiers performed very well in distinguishing relevant and irrelevant abstracts (reaching F1 approximately 0.93, MCC approximately 0.74, iAUC approximately 0.99) and sentences (F1 approximately 0.76, MCC approximately 0.65, iAUC approximately 0.83). We found that word bigram features were important for achieving optimal classifier performance and that features derived from Medical Subject Headings (MeSH) terms significantly improved abstract classification. We also found that some drug-related named entity recognition tools and dictionaries led to slight but significant improvements, especially in classification of evidence sentences. Based on our thorough analysis of classifiers and feature transforms and the high classification performance achieved, we demonstrate that literature mining can aid DDI discovery by supporting automatic extraction of specific types of experimental evidence. AU - Kolchinsky, Artemy AU - Lourenco, Analia AU - Wu, Heng-Yi AU - Li, Lang AU - Rocha, Luis M. DA - 2015 DO - 10.1371/journal.pone.0122199 IS - 5 J2 - PLoS One KW - *Data Mining *Drug Interactions *Pharmacokinetics Humans Medical Subject Headings natural language processing PubMed L1 - internal-pdf://3501309448/Kolchinsky-2015-Extraction of pharmacokinetic.pdf LA - eng PY - 2015 SN - 1932-6203 1932-6203 SP - e0122199 ST - Extraction of pharmacokinetic evidence of drug-drug interactions from the literature T2 - PloS one TI - Extraction of pharmacokinetic evidence of drug-drug interactions from the literature UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427505/pdf/pone.0122199.pdf VL - 10 ID - 282 ER - TY - JOUR AB - Extraction of some meta-information from printed documents without carrying out optical character recognition (OCR) is considered. It can be statistically verified that important terms in technical articles are mainly printed in italic, bold, and all-capital style. A quick approach to detecting them is proposed. This approach is based on the global shape heuristics of these styles of any font. Important words in a document are sometimes printed in larger size as well. A smart approach for the determination of font size is also presented. Detection of type styles helps in improving OCR performance, especially for reading italicized text. Another advantage to identifying word type styles and font size has been discussed in the context of extracting: different logical labels; and important terms from the document. Experimental results on the performance of the approach on a large number of good quality, as well as degraded, document images are presented. AU - Chaudhuri, B. B. AU - Garain, U. DA - 2001/03// DO - 10.1007/PL00013557 IS - 3 J2 - International Journal on Document Analysis and Recognition KW - character sets document image processing PY - 2001 SN - 1433-2833 SP - 138-49 ST - Extraction of type style-based meta-information from imaged documents T2 - International Journal on Document Analysis and Recognition TI - Extraction of type style-based meta-information from imaged documents UR - http://dx.doi.org/10.1007/PL00013557 VL - 3 ID - 1499 ER - TY - JOUR AB - The anomalously high and low oxygen isotope values observed in eclogite xenoliths from the upper mantle beneath cratons have been interpreted as indicating that the parent rock of the eclogites experienced alteration on the ancient sea floor. Recognition of this genetic lineage has provided the foundation for a model of the evolution of the continents whereby imbricated slabs of oceanic lithosphere underpin and promote stabilization of early cratons. Early crustal growth is thought to have been enhanced by the addition of slab-derived magmas, leaving an eclogite residuum in the upper mantle beneath the cratons. But the oxygen isotope anomalies observed in eclogite xenoliths are small relative to those in altered ocean-floor basalt and intermediate-stage subduction-zone eclogites, and this has hindered acceptance of the hypothesis that the eclogite xenoliths represent subducted and metamorphosed ocean-floor basalts. We present here the oxygen isotope composition of eclogitic mineral inclusions, analysed in situ in diamonds using an ion microprobe/secondary ion mass spectrometer. The oxygen isotope values ofcoesite (a polymorph of SiO2) inclusions are substantially higher than previously reported for xenoliths from the subcratonic mantle, but are typical of subduction-zone meta-basalts, and accordingly provide strong support for the link between altered ocean-floor basalts and mantle eclogite xenoliths. AU - Schulze, Daniel J. AU - Harte, Ben AU - Valley, John W. AU - Brenan, James M. AU - Channer, Dominic M. De R. DA - 2003 DO - 10.1038/nature01615 IS - 6935 J2 - Nature KW - Basalt Diamonds ecology Isotopes Oxygen Secondary ion mass spectrometry N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2003 SN - 00280836 SP - 68-70 ST - Extreme crustal oxygen isotope signatures preserved in coesite in diamond T2 - Nature TI - Extreme crustal oxygen isotope signatures preserved in coesite in diamond UR - http://dx.doi.org/10.1038/nature01615 VL - 423 ID - 476 ER - TY - JOUR AB - Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. This work is a preliminary work to study and model the user activity patterns. We had targeted the most active social networking service Facebook importantly the Facebook Pages for analysis. The task here is to estimate the comment count that a post is expected to receive in next few hours. The analysis is done by modeling the comment patterns using variety of regressive modeling techniques. Additionally, we had also examined the effect of meta-learning algorithms over regression. For the whole analysis, a software prototype is developed consisting of (1) crawler, (2) pre-processor and (3) KDD module. After deep analysis, we conclude that the decision trees performed better than multi-layer preceptron neural networks. The effect of meta-learning algorithms is also inspected and it is visualized that the bagging had improved the results in terms of accuracy whereas dagging had improved the performance of the analysis. 2015, UK Simulation Society. All rights reserved. AU - Singh, Kamaljot DA - 2015 DO - 10.5013/IJSSST.a.16.05.16 IS - 5 J2 - International Journal of Simulation: Systems, Science and Technology KW - data mining decision trees Forecasting Forestry Learning algorithms Network layers Radial basis function networks Social networking (online) software prototyping Trees (mathematics) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 14738031 SP - 16.1-16.9 ST - Facebook comment volume prediction T2 - International Journal of Simulation: Systems, Science and Technology TI - Facebook comment volume prediction UR - http://dx.doi.org/10.5013/IJSSST.a.16.05.16 VL - 16 ID - 802 ER - TY - JOUR AB - A large number of organizations today generate and share textual descriptions of their products, services, and actions. Such collections of textual data contain significant amount of structured information, which remains buried in the unstructured text. While information extraction algorithms facilitate the extraction of structured relations, they are often expensive and inaccurate, especially when operating on top of text that does not contain any instances of the targeted structured information. We present a novel alternative approach that facilitates the generation of the structured metadata by identifying documents that are likely to contain information of interest and this information is going to be subsequently useful for querying the database. Our approach relies on the idea that humans are more likely to add the necessary metadata during creation time, if prompted by the interface; or that it is much easier for humans (and/or algorithms) to identify the metadata when such information actually exists in the document, instead of naively prompting users to fill in forms with information that is not available in the document. As a major contribution of this paper, we present algorithms that identify structured attributes that are likely to appear within the document, by jointly utilizing the content of the text and the query workload. Our experimental evaluation shows that our approach generates superior results compared to approaches that rely only on the textual content or only on the query workload, to identify attributes of interest. AU - Ruiz, E. J. AU - Hristidis, V. AU - Ipeirotis, P. G. DA - 2014/02// DO - 10.1109/TKDE.2012.224 IS - 2 J2 - IEEE Transactions on Knowledge and Data Engineering KW - Content Management document handling meta data text analysis PY - 2014 SN - 1041-4347 SP - 336-49 ST - Facilitating Document Annotation Using Content and Querying Value T2 - IEEE Transactions on Knowledge and Data Engineering TI - Facilitating Document Annotation Using Content and Querying Value UR - http://dx.doi.org/10.1109/TKDE.2012.224 VL - 26 ID - 731 ER - TY - CONF AB - The analysis of discourse phenomena is essential in many natural language processing (NLP) applications. The growing diversity of available corpora and NLP tools brings a multitude of representation formats. In order to alleviate the problem of incompatible formats when constructing complex text mining pipelines, the Unstructured Information Management Architecture (UIMA) provides a standard means of communication between tools and resources. U-Compare, a text mining workflow construction platform based on UIMA, further enhances interoperability through a shared system of data types, allowing free combination of compliant components into workflows. Although U-Compare and its type system already support syntactic and semantic analyses, support for the analysis of discourse phenomena was previously lacking. In response, we have extended the U-Compare type system with new discourse-level types. We illustrate processing and visualisation of discourse information in U-Compare by providing several new deserialisation components for corpora containing discourse annotations. The new U-Compare is downloadable from http://nactem.ac.uk/ ucompare. 2013 Springer-Verlag. AU - Batista-Navarro, Riza Theresa AU - Kontonatsios, Georgios AU - Mihaila, Claudiu AU - Thompson, Paul AU - Rak, Rafal AU - Nawaz, Raheel AU - Korkontzelos, Ioannis AU - Ananiadou, Sophia C3 - 14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013, March 24, 2013 - March 30, 2013 DA - 2013 DO - 10.1007/978-3-642-37247-6_45 KW - Computational linguistics data mining Information Management Interoperability Natural language processing systems Semantics Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2013 SN - 03029743 SP - 559-571 ST - Facilitating the analysis of discourse phenomena in an interoperable NLP platform T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Facilitating the analysis of discourse phenomena in an interoperable NLP platform UR - http://dx.doi.org/10.1007/978-3-642-37247-6_45 VL - 7816 LNCS ID - 1665 ER - TY - JOUR AB - Parenting programs have the potential to improve the health and well-being of parents and children. A challenge for providers is to recruit and retain parents in programs. Studies researching engagement with programs have largely focused on providers', policy makers', or researchers' reflections of their experience of parents' participation. We conducted a systematic review of qualitative studies where parents had been asked why they did or did not choose to commence, or complete programs, and compared these perceptions with those of researchers and those delivering programs. We used data-mining techniques to identify relevant studies and summarized findings using framework synthesis methods. Six facilitator and five barrier themes were identified as important influences on participation, with a total of 33 subthemes. Participants focused on the opportunity to learn new skills, working with trusted people, in a setting that was convenient in time and place. Researchers and deliverers focused on tailoring the program to individuals and on the training of staff. Participants and researchers/deliverers therefore differ in their opinions of the most important features of programs that act as facilitators and barriers to engagement and retention. Program developers need to seek the views of both participants and deliverers when evaluating programs. AU - Mytton, Julie AU - Ingram, Jenny AU - Manns, Sarah AU - Thomas, James DA - 2014/04//undefined DO - 10.1177/1090198113485755 IS - 2 J2 - Health Educ Behav KW - *Parent-Child Relations child health Consumer Participation/*psychology Databases, Bibliographic evaluation Family Health Humans parenting Parenting/*psychology Parents/*education/psychology Program Evaluation/methods qualitative methods qualitative research LA - eng PY - 2014 SN - 1552-6127 1090-1981 SP - 127-137 ST - Facilitators and barriers to engagement in parenting programs: a qualitative systematic review T2 - Health education & behavior : the official publication of the Society for Public Health Education TI - Facilitators and barriers to engagement in parenting programs: a qualitative systematic review VL - 41 ID - 183 ER - TY - CONF AB - Summary form only given. Social aspects of computing, as they appear in group decision making, fair distribution, equity of transfer etc. can often not be expressed by simple function evaluations alone. Relational mathematics, which is studied in mathematical economics and social choice theory, provides a rich and general framework and appears to to be a natural and direct way to paraphrase corresponding optimization goals, to represent user preferences, to justify fairness criterions, or to valuate utility. In this talk, we will focus on the specific application aspects of formal relations for design, control and data mining problems. The talk will have two main parts. In the first part, we want to recall some concepts from mathematical economics, esp. the Arrow theorem and the relational approach by Suzumura, and then present a suite of relations that are able to represent fairness as mediator between user preference and application domain dominance. Starting with the "classical" fairness relations maxmin fairness, proportional fairness and lexicographic minimum, we can recover their mutual relationships and their design flexibility in order to define further relations, with regard to e.g. multi-resource problems, ordered fairness, self-weighted fairness, collaborative fairness, and fuzzy fairness. In the second part, we want to illustrate and demonstrate the application of these concepts to basic data processing and optimization tasks, for example in data analysis and the network design and control domain. In this part we will also study the tractability of related problems as well as algorithmic approaches by meta-heuristic algorithms derived from well-known evolutionary multi-objective optimization algorithms or extension of sorting algorithms. AU - Koeppen, M. C3 - 2013 IIAI International Conference on Advanced Applied Informatics (IIAIAAI), 31 Aug.-4 Sept. 2013 DA - 2013 DO - 10.1109/IIAI-AAI.2013.87 KW - data analysis evolutionary computation fuzzy set theory Heuristic programming PB - IEEE PY - 2013 SP - 3 ST - Fairness relations - concepts, properties, and applications to networking, data analysis and optimization T3 - 2013 Second IIAI International Conference on Advanced Applied Informatics (IIAIAAI) TI - Fairness relations - concepts, properties, and applications to networking, data analysis and optimization UR - http://dx.doi.org/10.1109/IIAI-AAI.2013.87 ID - 1495 ER - TY - JOUR AB - Business processes, most of which are automated by information systems, have become a key asset in organizations. Unfortunately, uncontrolled maintenance implies that information systems age overtime until they need to be modernized. During software modernization, ageing systems cannot be entirely discarded because they gradually embed meaningful business knowledge, which is not present in any other artifact. This paper presents a technique for recovering business processes from legacy systems in order to preserve that knowledge. The technique statically analyzes source code and generates a code model, which is later transformed by pattern matching into a business process model. This technique has been validated over a two-year period in several industrial modernization projects. This paper reports the results of a family of case studies that were performed to empirically validate the technique using analysis and meta-analysis techniques. The family of case studies demonstrates that the technique is feasible in terms of effectiveness and efficiency. [All rights reserved Elsevier]. AU - Perez-Castillo, R. AU - Cruz-Lemus, J. A. AU - Garcia de Guzman, I. AU - Piattini, M. DA - 2012/06// DO - 10.1016/j.jss.2012.01.022 IS - 6 J2 - Journal of Systems and Software KW - business data processing data mining Information systems Knowledge management Pattern matching Program compilers program diagnostics software maintenance PY - 2012 SN - 0164-1212 SP - 1370-85 ST - A family of case studies on business process mining using MARBLE T2 - Journal of Systems and Software TI - A family of case studies on business process mining using MARBLE UR - http://dx.doi.org/10.1016/j.jss.2012.01.022 VL - 85 ID - 1705 ER - TY - JOUR AB - Primary open angle glaucoma (POAG) is characterized by optic disc cupping and irreversible loss of retinal ganglion cells. Few genes have been detected that influence POAG susceptibility and little is known about its genetic architecture. In this study, we employed exome sequencing on three members from a high frequency POAG family to identify the risk factors of POAG in Chinese population. Text-mining method was applied to identify genes associated with glaucoma in literature, and protein-protein interaction networks were constructed. Furthermore, reverse transcription PCR and Western blot were performed to confirm the differential gene expression. Six genes, baculoviral inhibitors of apoptosis protein repeat containing 6 (BIRC6), CD2, luteinizing hormone/choriogonadotropin receptor (LHCGR), polycystic kidney and hepatic disease gene 1 (PKHD1), phenylalanine hydroxylase (PAH) and fucosyltransferase 7 (FUT7), which might be associated with POAG, were identified. Both the mRNA expression levels and protein expression levels of HSP27 were increased in astrocytes from POAG patients compared with those from normal control, suggesting that mutation in CD2 might pose a risk for POAG in Chinese population. In conclusion, novel rare variants detected by exome sequencing may hold the key to unravelling the remaining contribution of genetics to complex diseases such as POAG. AU - Liu, Ting AU - Xie, Lin AU - Ye, Jian AU - He, Xiangge DA - 2014/04//undefined DO - 10.1111/jcmm.12201 IS - 4 J2 - J Cell Mol Med KW - *Genetic Association Studies *Genetic Predisposition to Disease Antigens, CD2/*genetics Asian Continental Ancestry Group Chinese population exome sequencing Eye Proteins/genetics Gene Expression Regulation Glaucoma, Open-Angle/*genetics/pathology HSP27 Heat-Shock Proteins/biosynthesis/genetics Humans Mutation Pedigree primary open angle glaucoma Protein Interaction Maps LA - eng PY - 2014 SN - 1582-4934 1582-1838 SP - 600-609 ST - Family-based analysis identified CD2 as a susceptibility gene for primary open angle glaucoma in Chinese Han population T2 - Journal of cellular and molecular medicine TI - Family-based analysis identified CD2 as a susceptibility gene for primary open angle glaucoma in Chinese Han population VL - 18 ID - 204 ER - TY - JOUR AB - File semantic has proven effective in optimizing large scale distributed file system. As a consequence of the elaborate and rich I/O interfaces between upper layer applications and file systems, file system can provide useful and insightful information about semantic. Hence, file semantic mining has become an increasingly important practice in both engineering and research community. Unfortunately, it is a challenge to exploit file semantic knowledge because a variety of factors could affect this information exploration process. Even worse, the challenges are exacerbated due to the intricate interdependency between these factors, and make it difficult to fully exploit the potentially important correlation among various semantic knowledges. This article proposes a file access correlation miming and evaluation reference (FARMER) model, where file is treated as a multivariate vector space, and each item within the vector corresponds a separate factor of the given file. The selection of factor depends on the application, examples of factors are file path, creator and executing program. If one particular factor occurs in both files, its value is non-zero. It is clear that the extent of inter-file relationships can be measured based on the likeness of their factor values in the semantic vectors. Benefit from this model, FARMER represents files as structured vectors of identifiers, and basic vector operations can be leveraged to quantify file correlation between two file vectors. FARMER model leverages linear regression model to estimate the strength of the relationship between file correlation and a set of influencing factors so that the bad knowledge can be filtered out. To demonstrate the ability of new FARMER model, FARMER is incorporated into a real large-scale object-based storage system as a case study to dynamically infer file correlations. In addition FARMER-enabled optimize service for metadata prefetching algorithm and object data layout algorithm is implemented. Experimental results show that is FARMER-enabled prefetching algorithm is shown to reduce the metadata operations latency by approximately 30%-40% when compared to a state-of-the-art metadata prefetching algorithm and a commonly used replacement policy. AU - Xia, Peng AU - Feng, Dan AU - Wang, Fang DA - 2011/12// DO - 10.1007/s11741-011-0789-2 IS - 6 J2 - Journal of Shanghai University KW - data mining file organisation meta data statistical analysis PY - 2011 SN - 1007-6417 SP - 574-88 ST - FARMER: a novel approach to file access correlation mining and evaluation reference model T2 - Journal of Shanghai University TI - FARMER: a novel approach to file access correlation mining and evaluation reference model UR - http://dx.doi.org/10.1007/s11741-011-0789-2 VL - 15 ID - 1676 ER - TY - CONF AB - Recommender problems with large and dynamic item pools are ubiquitous in web applications like content optimization, online advertising and web search. Despite the availability of rich item meta-data, excess heterogeneity at the item level often requires inclusion of item-specific "factors" (or weights) in the model. However, since estimating item factors is computationally intensive, it poses a challenge for time-sensitive recommender problems where it is important to rapidly learn factors for new items (e.g., news articles, event updates, tweets) in an online fashion. In this paper, we propose a novel method called FOBFM (Fast Online Bilinear Factor Model) to learn item-specific factors quickly through online regression. The online regression for each item can be performed independently and hence the procedure is fast, scalable and easily parallelizable. However, the convergence of these independent regressions can be slow due to high dimensionality. The central idea of our approach is to use a large amount of historical data to initialize the online models based on offline features and learn linear projections that can effectively reduce the dimensionality. We estimate the rank of our linear projections by taking recourse to online model selection based on optimizing predictive likelihood. Through extensive experiments, we show that our method significantly and uniformly outperforms other competitive methods and obtains relative lifts that are in the range of 10-15% in terms of predictive log-likelihood, 200-300% for a rank correlation metric on a proprietary My Yahoo! dataset; it obtains 9% reduction in root mean squared error over the previously best method on a benchmark MovieLens dataset using a time-based train/test data split. 2010 ACM. AU - Agarwal, Deepak AU - Chen, Bee-Chung AU - Elango, Pradheep C3 - 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD-2010, July 25, 2010 - July 28, 2010 DA - 2010 DO - 10.1145/1835804.1835894 KW - Factorization Optimization Regression Analysis World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2010 SP - 703-712 ST - Fast online learning through offline initialization for time-sensitive recommendation T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - Fast online learning through offline initialization for time-sensitive recommendation UR - http://dx.doi.org/10.1145/1835804.1835894 http://dl.acm.org/citation.cfm?doid=1835804.1835894 ID - 833 ER - TY - JOUR AB - INTRODUCTION: Unplanned 30-day hospital readmission account for roughly $17 billion in annual Medicare spending. Many factors contribute to unplanned hospital readmissions and multiple models have been developed over the years to predict them. Most researchers have used insurance claims or administrative data to train and operationalize their Readmission Risk Prediction Models (RRPMs). Some RRPM developers have also used electronic health records data; however, using health informatics exchange data has been uncommon among such predictive models and can be beneficial in its ability to provide real-time alerts to providers at the point of care. METHODS: We conducted a semi-systematic review of readmission predictive factors published prior to March 2013. Then, we extracted and merged all significant variables listed in those articles for RRPMs. Finally, we matched these variables with common HL7 messages transmitted by a sample of health information exchange organizations (HIO). RESULTS: The semi-systematic review resulted in identification of 32 articles and 297 predictive variables. The mapping of these variables with common HL7 segments resulted in an 89.2% total coverage, with the DG1 (diagnosis) segment having the highest coverage of 39.4%. The PID (patient identification) and OBX (observation results) segments cover 13.9% and 9.1% of the variables. Evaluating the same coverage in three sample HIOs showed data incompleteness. DISCUSSION: HIOs can utilize HL7 messages to develop unique RRPMs for their stakeholders; however, data completeness of exchanged messages should meet certain thresholds. If data quality standards are met by stakeholders, HIOs would be able to provide real-time RRPMs that not only predict intra-hospital readmissions but also inter-hospital cases. CONCLUSION: A RRPM derived using HIO data exchanged through may prove to be a useful method to prevent unplanned hospital readmissions. In order for the RRPM derived from HIO data to be effective, hospitals must actively exchange clinical information through the HIO and develop actionable methods that integrate into the workflow of providers to ensure that patients at high-risk for readmission receive the care they need. AU - Swain, Matthew J. AU - Kharrazi, Hadi DA - 2015/12//undefined DO - 10.1016/j.ijmedinf.2015.09.003 IS - 12 J2 - Int J Med Inform KW - *Models, Statistical *Natural Language Processing Computer Simulation Data Mining/*methods Feasibility Studies Health information exchange Health Information Exchange/classification/*statistics & numerical data Health information organization Health information technology Hospital readmissions Humans Patient Readmission/*statistics & numerical data Pattern Recognition, Automated/methods Prevalence Reproducibility of results Risk prediction model Sensitivity and specificity Vocabulary, Controlled LA - eng PY - 2015 SN - 1872-8243 1386-5056 SP - 1048-1056 ST - Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data T2 - International journal of medical informatics TI - Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data VL - 84 ID - 93 ER - TY - CONF AB - A feature model captures the stakeholder-visible aspects and characteristics of a product line. By revealing a product line's inherent commonalities and variabilities, it acts as a key driver in the creation of core assets. Usability and usefulness, however, are important qualities for a feature model to possess in order to fulfil its role. In our opinion, these qualities can be ensured by building upon an adequate meta-model for feature modeling. Metamodel elements, such as features and inter-feature relations, are presented in detail. We propose automated model analysis as the way of extracting information encapsulated in a feature model. Algorithms are suggested for the identification of the commonality and variability in the modeled product line and for the automated consistency checking of products. AU - Fey, D. AU - Fajta, R. AU - Boros, A. C3 - Software Product Lines. Second International Conference, SPLC 2. Proceedings, 19-22 Aug. 2002 DA - 2002 KW - Automatic programming modelling Product development program verification software quality software reusability PB - Springer-Verlag PY - 2002 SP - 198-216 ST - Feature modeling: a meta-model to enhance usability and usefulness T3 - Software Product Lines. Second International Conference, SPLC 2. Proceedings (Lecture Notes in Computer Science Vol. 2370) TI - Feature modeling: a meta-model to enhance usability and usefulness ID - 1433 ER - TY - CONF AB - This research work emphasizes the significance of Data Mining classification algorithms in predicting the factors which influence the road traffic accidents specific to injury severity. It precisely compares the performance of classification algorithms viz. C4.5, CR-T, 1D3, CS-CRT, CS-MC4, Naive Bayes and Random Tree, applied to modelling the injury severity that occurred during road traffic accidents. Further we applied feature selection methods to select the relevant road accident related factors and Meta classifier Arc-X4 to improve the accuracy of the classifiers. Experiment results reveal that the Random Tree based on features selected by Feature Ranking algorithm and Arc-X4 Meta classifier outperformed the individual approaches. The results have been evaluated using the accuracy measures such as Recall and Precision. In this research work we used the road accident training dataset which was obtained from the Fatality Analysis Reporting System (FARS), provided by the University of Alabama's Critical Analysis Reporting Environment (CARE) system. AU - Shanthi, S. AU - Ramani, R. G. C3 - World Congress on Engineering and Computer Science 2012, 24-26 Oct. 2012 DA - 2012 KW - Bayes methods data mining learning (artificial intelligence) pattern classification road accidents road traffic Trees (mathematics) PB - Newswood Limited PY - 2012 SP - 122-7 ST - Feature relevance analysis and classification of road traffic accident data through data mining techniques T3 - World Congress on Engineering and Computer Science 2012 TI - Feature relevance analysis and classification of road traffic accident data through data mining techniques VL - vol.1 ID - 1858 ER - TY - CONF AB - Feature Selection plays an important role in machine learning and data mining, and it is often applied as a data pre-processing step. This task can speed up learning algorithms and sometimes improve their performance. In multi-label learning, label dependence is considered another aspect that can contribute to improve learning performance. A replicable and wide systematic review performed by us corroborates this idea. Based on this information, it is believed that considering label dependence during feature selection can lead to better learning performance. The hypothesis of this work is that multi-label feature selection algorithms that consider label dependence will perform better than the ones that disregard it. To this end, we propose multi-label feature selection algorithms that take into account label relations. These algorithms were experimentally compared to the standard approach for feature selection, showing good performance in terms of feature reduction and predictability of the classifiers built using the selected features. AU - Spolar, Newton AU - Monard, Maria Carolina AU - Lee, Huei Diana C3 - 24th International Joint Conference on Artificial Intelligence, IJCAI 2015, July 25, 2015 - July 31, 2015 DA - 2015 KW - Algorithms artificial intelligence Classification (of information) data handling data mining feature extraction Learning algorithms Learning systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Joint Conferences on Artificial Intelligence PY - 2015 SN - 10450823 SP - 4401-4402 ST - Feature selection for multi-label learning T3 - IJCAI International Joint Conference on Artificial Intelligence TI - Feature selection for multi-label learning VL - 2015-January ID - 922 ER - TY - JOUR AB - In order to enable secondary use of Electronic Health Records (EHRs) by bridging the interoperability gap between clinical care and research domains, in this paper, a unified methodology and the supporting framework is introduced which brings together the power of metadata registries (MDR) and semantic web technologies. We introduce a federated semantic metadata registry framework by extending the ISO/IEC 11179 standard, and enable integration of data element registries through Linked Open Data (LOD) principles where each Common Data Element (CDE) can be uniquely referenced, queried and processed to enable the syntactic and semantic interoperability. Each CDE and their components are maintained as LOD resources enabling semantic links with other CDEs, terminology systems and with implementation dependent content models; hence facilitating semantic search, much effective reuse and semantic interoperability across different application domains. There are several important efforts addressing the semantic interoperability in healthcare domain such as IHE DEX profile proposal, CDISC SHARE and CDISC2RDF. Our architecture complements these by providing a framework to interlink existing data element registries and repositories for multiplying their potential for semantic interoperability to a greater extent. Open source implementation of the federated semantic MDR framework presented in this paper is the core of the semantic interoperability layer of the SALUS project which enables the execution of the post marketing safety analysis studies on top of existing EHR systems. [All rights reserved Elsevier]. AU - Sinaci, A. A. AU - Erturkmen, G. B. L. DA - 2013/10// DO - 10.1016/j.jbi.2013.05.009 IS - 5 J2 - Journal of Biomedical Informatics KW - biomedical communication data mining distributed databases electronic health records Health care IEC standards ISO standards meta data open systems public domain software query processing safety Semantic Web PY - 2013 SN - 1532-0464 SP - 784-94 ST - A federated semantic metadata registry framework for enabling interoperability across clinical research and care domains T2 - Journal of Biomedical Informatics TI - A federated semantic metadata registry framework for enabling interoperability across clinical research and care domains UR - http://dx.doi.org/10.1016/j.jbi.2013.05.009 VL - 46 ID - 1099 ER - TY - CONF AB - Academic papers contain multiple figures (information graphics) representing important findings and experimental results. Automatic data extraction from such figures and classification of information graphics is not straightforward and a well studied problem in document analysis cite{4275059}. Also, very few digital library search engines index figures and/or associated metadata (figure caption) from PDF documents. We describe the very first step in indexing, classification and data extraction from figures in PDF documents - accurate automatic extraction of figures and associated metadata, a nontrivial task. Document layout, font information, lexical and linguistic features for figure caption extraction from PDF documents is considered for both rule based and machine learning based approaches. We also describe a digital library search engine that indexes figure captions and mentions from 150K documents, extracted by our custom built extractor. 2013 IEEE. AU - Choudhury, Sagnik Ray AU - Mitra, Prasenjit AU - Kirk, Andi AU - Szep, Silvia AU - Pellegrino, Donald AU - Jones, Sue AU - Giles, C. Lee C3 - 12th International Conference on Document Analysis and Recognition, ICDAR 2013, August 25, 2013 - August 28, 2013 DA - 2013 DO - 10.1109/ICDAR.2013.34 KW - Classification (of information) Computer Graphics data mining Digital Libraries information retrieval Metadata Search Engines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2013 SN - 15205363 SP - 135-139 ST - Figure metadata extraction from digital documents T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR TI - Figure metadata extraction from digital documents UR - http://dx.doi.org/10.1109/ICDAR.2013.34 ID - 1187 ER - TY - CONF AB - We develop a financial knowledge management system, known as FAM, which is able to digest online news and conduct financial activity mining. Financial online news articles are automatically fetched from the Web. By analyzing the text content, metadata capturing major attributes such as company names and people names are automatically extracted. The metadata together with content terms are processed to mine financial activities via an unsupervised learning algorithm. FAM is capable of dealing with multilingual news including English and Chinese. AU - Pik-Shan, Cheung AU - Ruizhang, Huang AU - Wai, Lam C3 - Proceedings. ITCC 2004. International Conference on Information Technology: Coding and Computing, 5-7 April 2004 DA - 2004 KW - data mining financial data processing Internet Knowledge management meta data natural languages text analysis unsupervised learning PB - IEEE Comput. Soc. PY - 2004 SP - 267-71 ST - Financial activity mining from online multilingual news T3 - Proceedings. ITCC 2004. International Conference on Information Technology: Coding and Computing TI - Financial activity mining from online multilingual news VL - Vol.1 ID - 1667 ER - TY - CONF AB - A large and growing number of web pages display contex-tual advertising based on keywords automatically extracted from the text of the page, and this is a substantial source of revenue supporting the web today. Despite the impor-tance of this area, little formal, published research exists. We describe a system that learns how to extract keywords from web pages for advertisement targeting. The system uses a number of features, such as term frequency of each potential keyword, inverse document frequency, presence in meta-data, and how often the term occurs in search query logs. The system is trained with a set of example pages that have been hand-labeled with "relevant" keywords. Based on this training, it can then extract new keywords from previ-ously unseen pages. Accuracy is substantially better than several baseline systems. AU - Yih, Wen-Tau AU - Goodman, Joshua AU - Carvalho, Vitor R. C3 - 15th International Conference on World Wide Web, WWW'06, May 23, 2006 - May 26, 2006 DA - 2006 DO - 10.1145/1135777.1135813 KW - Information analysis Internet Text processing Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2006 SP - 213-222 ST - Finding advertising keywords on web pages T3 - Proceedings of the 15th International Conference on World Wide Web, WWW'06 TI - Finding advertising keywords on web pages UR - http://dx.doi.org/10.1145/1135777.1135813 ID - 630 ER - TY - JOUR AB - Translational research of time-series of gene-expression microarray datasets makes use on gene expression profiles that have been obtained at different points in time. Our web-based multi-user program helps a researcher find temporal patterns like peaks in large pre-selected microarray data sets that include data from different but related studies in publicly available databases. If all studies use the same platform, data can be combined for a meta-analysis type approach. For combination of data from different platforms we allow only Affymetrix GeneChips, for which a method for pooling of information exists. To search for time patterns, the data are transformed into an abstract layer that is independent from the particular selection of time point in the individual studies. AU - Tusch, Guenter AU - Tolea, Olvi AU - Kutsumi, Yuka AU - Sam, Vincent K. AU - Mamidi, Lakshmi DA - 2013 J2 - Stud Health Technol Inform KW - *Database Management Systems *Databases, Genetic *Software Algorithms artificial intelligence Data Mining/*methods Gene Expression Profiling/*methods Gene Expression Regulation/genetics Medical Record Linkage/methods Meta-Analysis as Topic natural language processing Oligonucleotide Array Sequence Analysis/*methods Translational Medical Research/*methods LA - eng PY - 2013 SN - 0926-9630 0926-9630 SP - 1173 ST - Finding temporal gene expression patterns for translational research T2 - Studies in health technology and informatics TI - Finding temporal gene expression patterns for translational research VL - 192 ID - 40 ER - TY - CONF AB - GitHub, one of the most popular social coding platforms, is the platform of reference when mining Open Source repositories to learn from past experiences. In the last years, a number of research papers have been published reporting findings based on data mined from GitHub. As the community continues to deepen in its understanding of software engineering thanks to the analysis performed on this platform, we believe it is worthwhile to reflect how research papers have addressed the task of mining GitHub repositories over the last years. In this regard, we present a meta-analysis of 93 research papers which addresses three main dimensions of those papers: i) the empirical methods employed, ii) the datasets they used and iii) the limitations reported. Results of our meta-analysis show some concerns regarding the dataset collection process and size, the low level of replicability, poor sampling techniques, lack of longitudinal studies and scarce variety of methodologies. 2016 ACM. AU - Cosentino, Valerio AU - Luis, Javier AU - Izquierdo, Canovas AU - Cabot, Jordi C3 - 13th Working Conference on Mining Software Repositories, MSR 2016, May 14, 2016 - May 15, 2016 DA - 2016 DO - 10.1145/2901739.2901776 KW - Open source software Paper software engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2016 SP - 137-141 ST - Findings from GitHub: Methods, datasets and limitations T3 - Proceedings - 13th Working Conference on Mining Software Repositories, MSR 2016 TI - Findings from GitHub: Methods, datasets and limitations UR - http://dx.doi.org/10.1145/2901739.2901776 http://dl.acm.org/citation.cfm?doid=2901739.2901776 ID - 1678 ER - TY - CONF AB - We propose fLDA, a novel matrix factorization method to predict ratings in recommender system applications where a "bag-of-words" representation for item meta-data is natural. Such scenarios are commonplace in web applications like content recommendation, ad targeting and web search where items are articles, ads and web pages respectively. Because of data sparseness, regularization is key to good predictive accuracy. Our method works by regularizing both user and item factors simultaneously through user features and the bag of words associated with each item. Specifically, each word in an item is associated with a discrete latent factor often referred to as the topic of the word; item topics are obtained by averaging topics across all words in an item. Then, user rating on an item is modeled as user's affinity to the item's topics where user affinity to topics (user factors) and topic assignments to words in items (item factors) are learned jointly in a supervised fashion. To avoid overfitting, user and item factors are regularized through Gaussian linear regression and Latent Dirichlet Allocation (LDA) priors respectively. We show our model is accurate, interpretable and handles both cold-start and warm-start scenarios seamlessly through a single model. The efficacy of our method is illustrated on benchmark datasets and a new dataset from Yahoo Buzz where fLDA provides superior predictive accuracy in cold-start scenarios and is comparable to state-of-the-art methods in warm-start scenarios. As a by-product, fLDA also identifies interesting topics that explains user-item interactions. Our method also generalizes a recently proposed technique called supervised LDA (sLDA) to collaborative filtering applications. While sLDA estimates item topic vectors in a supervised fashion for a single regression, fLDA incorporates multiple regressions (one for each user) in estimating the item factors. Copyright 2010 ACM. AU - Agarwal, Deepak AU - Chen, Bee-Chung C3 - 3rd ACM International Conference on Web Search and Data Mining, WSDM 2010, February 3, 2010 - February 6, 2010 DA - 2010 DO - 10.1145/1718487.1718499 KW - Bayesian networks Factorization Graphic methods Hierarchical systems information retrieval Light measurement Models Regression Analysis Signal filtering and prediction World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2010 SP - 91-100 ST - fLDA: Matrix factorization through latent dirichlet allocation T3 - WSDM 2010 - Proceedings of the 3rd ACM International Conference on Web Search and Data Mining TI - fLDA: Matrix factorization through latent dirichlet allocation UR - http://dx.doi.org/10.1145/1718487.1718499 http://dl.acm.org/citation.cfm?doid=1718487.1718499 ID - 709 ER - TY - JOUR AB - Background: With the continued exponential growth in data volume, large-scale data mining and machine learning experiments have become a necessity for many researchers without programming or statistics backgrounds. WEKA (Waikato Environment for Knowledge Analysis) is a gold standard framework that facilitates and simplifies this task by allowing specification of algorithms, hyper-parameters and test strategies from a streamlined Experimenter GUI. Despite its popularity, the WEKA Experimenter exhibits several limitations that we address in our new FlexDM software. Results: FlexDM addresses four fundamental limitations with the WEKA Experimenter: reliance on a verbose and difficult-to-modify XML schema; inability to meta-optimise experiments over a large number of algorithm hyper-parameters; inability to recover from software or hardware failure during a large experiment; and failing to leverage modern multicore processor architectures. Direct comparisons between the FlexDM and default WEKA XML schemas demonstrate a 10-fold improvement in brevity for a specification that allows finer control of experimental procedures. The stability of FlexDM has been tested on a large biological dataset (approximately 450 k attributes by 150 samples), and automatic parallelisation of tasks yields a quasi-linear reduction in execution time when distributed across multiple processor cores. Conclusion: FlexDM is a powerful and easy-to-use extension to the WEKA package, which better handles the increased volume and complexity of data that has emerged during the 20 years since WEKA's original development. FlexDM has been tested on Windows, OSX and Linux operating systems and is provided as a pre-configured virtual reference environment for trivial usage and extensibility. This software can substantially improve the productivity of any research group conducting large-scale data mining or machine learning tasks, in addition to providing non-programmers with improved control over specific aspects of their data analysis pipeline via a succinct and simplified XML schema. AU - Flannery, Madison AU - Budden, David M. AU - Mendes, Alexandre DA - 2015/11/17/ DO - 10.1186/s13029-015-0045-3 L1 - internal-pdf://1928189300/Flannery-2015-FlexDM_ Simple, parallel and fau.pdf PY - 2015 SN - 1751-0473 SP - 13 ST - FlexDM: Simple, parallel and fault-tolerant data mining using WEKA T2 - Source Code for Biology and Medicine TI - FlexDM: Simple, parallel and fault-tolerant data mining using WEKA UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4647584/pdf/13029_2015_Article_45.pdf VL - 10 ID - 1978 ER - TY - JOUR AB - In this article we present FLUX-CiM, a novel method for extracting components (e.g., author names, article titles, venues, page numbers) from bibliographic citations. Our method does not rely on patterns encoding specific delimiters used in a particular citation style. This feature yields a high degree of automation and flexibility, and allows FLUX-CiM to extract from citations in any given format. Differently from previous methods that are based on models learned from user-driven training, our method relies on a knowledge base automatically constructed from an existing set of sample metadata records from a given field (e.g., computer science, health sciences, social sciences, etc.). These records are usually available on the Web or other public data repositories. To demonstrate the effectiveness and applicability of our proposed method, we present a series of experiments in which we apply it to extract bibliographic data from citations in articles of different fields. Results of these experiments exhibit precision and recall levels above 94% for all fields, and perfect extraction for the large majority of citations tested. In addition, in a comparison against a state-of-the-art information-extraction method, ours produced superior results without the training phase required by that method. Finally, we present a strategy for using bibliographic data resulting from the extraction process with FLUX-CiM to automatically update and expand the knowledge base of a given domain. We show that this strategy can be used to achieve good extraction results even if only a very small initial sample of bibliographic records is available for building the knowledge base. AU - Cortez, E. AU - da Silva, A. S. AU - Goncalves, M. A. AU - Mesquita, F. AU - de Moura, E. S. DA - 2009/06// DO - 10.1002/asi.21049 IS - 6 J2 - Journal of the American Society for Information Science and Technology KW - Citation Analysis Digital Libraries information retrieval Internet Knowledge based systems meta data unsupervised learning L1 - internal-pdf://3647958410/Cortez-2009-A flexible approach for extracting.pdf PY - 2009 SN - 1532-2882 SP - 1144-58 ST - A flexible approach for extracting metadata from bibliographic citations T2 - Journal of the American Society for Information Science and Technology TI - A flexible approach for extracting metadata from bibliographic citations UR - http://dx.doi.org/10.1002/asi.21049 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/asi.21049/asset/21049_ftp.pdf?v=1&t=itir94ee&s=64a7ea11d05a2353e714a0aa79cdb500f9d4490a VL - 60 ID - 646 ER - TY - CONF AB - Flow is a mental state characterised by an experience of peak performance and total concentration when engaged in a task. Studies imply that flow occurs when we perceive clear goals, get immediate feedback in right time and when we experience a balance between the level of the challenge we are exposed to and the level of the skills we posses to meet this challenge. Working in flow creates through concentration and motivation a sense of value and balance, which is essentially worthwhile for the individual [1]. The mental traits described to create flow match well with theories about what facilitates efficient and deep learning. The results from a study made in a fifth-year course in a mining engineering program where the concept of flow is actively used as a strategy in teaching and pared with authentic learning to increase creativity in an open-ended challenge project, indicates that authentic learning under the right conditions create a state of flow within the individual student [2]. In this course the open-ended project is fully developed during a one-week immersion in an actual mining site. That kind of setting implies a high challenge for students who must show different kind of knowledge and skills in order to achieve intended deliverables. The process is highly social and exploits concepts from the communities of practice theory and much of the work is done in groups of students [3]. In a course setting like this it?s crucial to understand how, and if, flow also works in groups [4]. Social relations and social processes consume a lot of mental energy during different stages in a group development process and have a server impact on intellectual performance and its quality. Thus, it has an impact also on learning, creativity, problem solving etc. [5]. In this paper we will continue to discuss how those aspects of teaching can be used actively, and how students react to different attempts from the teacher to create a learning environment, which also take into account the emotional aspects of learning and meta-cognitive processes in order to enhance student motivation and learning outcome. Empirical data from an investigation among the students in the course that pose the case in this paper will be presented, analysed and discussed. AU - Pascual, R. AU - Hammar Andersson, P. C3 - 43rd SEFI Annual Conference 2015, SEFI 2015, June 29, 2015 - July 2, 2015 DA - 2015 KW - Computer aided instruction Curricula education Engineering education Mining engineering Motivation Problem solving Students teaching N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - European Society for Engineering Education (SEFI) PY - 2015 ST - A flow based approach to authentic learning in social oriented teaching T3 - Proceedings of the 43rd SEFI Annual Conference 2015 - Diversity in Engineering Education: An Opportunity to Face the New Trends of Engineering, SEFI 2015 TI - A flow based approach to authentic learning in social oriented teaching ID - 511 ER - TY - JOUR AB - Auriferous quartz veins in the Hill End goldfield, NSW, Australia, comprise bedding-parallel vein sets and minor extension and fault-controlled veins which are hosted by a multiply deformed, Late Silurian slate-meta-greywacke turbidite sequence. Fluid inclusions in quartz, either from bedding-parallel veins or from narrow, steeply N-dipping veins ('leader' veins) indicate a similar range in homogenisation temperatures (T-h) from 350 degrees C to 110 degrees C. Within this range, T-h data demonstrate five groupings in the temperature intervals 350-280 degrees C, 280-250 degrees C, 250-190 degrees C, 190-150 degrees C, and 150-110 degrees C, corresponding to a variety of primary and secondary inclusions developed during five periods of vein growth under a generally declining temperature regime. Inclusion fluids are characterised by a low salinity of around 0.1 to 3.6 wt % NaCl equivalent. Laser Raman microprobe inclusion analysis indicates that gas-phase compositions relate to the paragenetic stage of the host quartz. H2O(g) and N-2 dominate in the primary inclusions from barren, Stage I quartz; CH4 and CH4 + H2O(g) are important in inclusions related to the early gold forming events (equivalent to Stages II and III quartz), but inclusions developed during the last episode of gold deposition are characterised by H2O(g), CO2-rich and liquid-CO2 bearing fluids. Precipitation of gold was aided by sulphidation reactions or phase separation in response to periods of vein opening. Late in the paragenesis, gold deposition may have been promoted by oxidation of the ore fluid. AU - Lu, J. AU - Seccombe, P. K. DA - 1993/11// DO - 10.1007/BF02739370 IS - 5 PY - 1993 SN - 0026-4598 SP - 310-323 ST - FLUID EVOLUTION IN A SLATE-BELT GOLD DEPOSIT - A FLUID INCLUSION STUDY T2 - Mineralium Deposita TI - FLUID EVOLUTION IN A SLATE-BELT GOLD DEPOSIT - A FLUID INCLUSION STUDY VL - 28 ID - 2141 ER - TY - JOUR AB - Objectives: To determine doctors' reasons for using the Internet, and the factors that influence their usage. Data sources: A systematic review of 38 studies, from 1994 to 2004, describing surveys of doctors' Internet usage. Results: All of the studies were in the developed world, primarily in North America. Approximately 60-70% of doctors have access to the Internet, but in several studies access is more than 90%. Access is steadily increasing. Most Internet activity focuses on email and searching in journals and databases, but there is a very wide range of activities. Professional email with colleagues and patients is low, but increasing. The major factors discouraging usage are time, workload and cost, while too much information, liability issues and lack of skills also feature as discouraging factors. Factors encouraging use are unclear, but overall patient satisfaction and belief in improved service delivery, time saving and demand from patients are factors. There is a trend that males use the Internet more than females, young more than old, and specialists more than generalists, but these differences are not across the board, and show variations between studies. Conclusion: In spite of the limitations, it is clear that doctors are highly connected to the Internet, and their professional usage is increasing. Factors encouraging and discouraging usage are more complex than simple connectivity. Usage differences between demographic groups do exist, but are equalising. More and consistent research is required in this area. 2006 Elsevier Ireland Ltd. All rights reserved. AU - Masters, Ken DA - 2008 DO - 10.1016/j.ijmedinf.2006.10.002 IS - 1 J2 - International Journal of Medical Informatics KW - Access control Database systems data mining Electronic mail Internet Patient treatment N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2008 SN - 13865056 SP - 4-16 ST - For what purpose and reasons do doctors use the Internet: A systematic review T2 - International Journal of Medical Informatics TI - For what purpose and reasons do doctors use the Internet: A systematic review UR - http://dx.doi.org/10.1016/j.ijmedinf.2006.10.002 VL - 77 ID - 1237 ER - TY - CONF AB - Being analysed systematically, the factors influencing the production of fully-mechanised coal face have been divided into geological, mining technical, and management groups. Artificial neural network-expert systems (ANN-ES) are established to decide the influencing factors' membership grade; genetic algorithm-artificial neural network (GA-ANN) are used to decide the weights; fuzzy comprehensive evaluation method is used to calculate the integration indexes. Finally, the GA-ANN model is established to forecast the production of fully-mechanised coal face. It is proved that the model is reliable with higher precision. The production of fully-mechanised coal face is influenced by many factors. However, some influencing factors are neglected by the traditional forecasting methods, the results of which are not precise and hardly be used as a guide for mine production and management. The relation between the production of fully-mechanised coal face and its effecting factors is analysed, and the meta-synthetic AI approaches are used to forecast the production of fully-mechanised coal face. AU - Wanlin, Han AU - Youdi, Zhang C3 - Twelfth International Symposium on Mine Planning and Equipment Selection, Apr 23 - 25 2003 DA - 2003 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Australasian Institute of Mining and Metallurgy PY - 2003 SP - 117-120 ST - Forecasting the Production of Fully-Mechanised Coal Face by Meta-Synthetic Al Method T3 - Australasian Institute of Mining and Metallurgy Publication Series TI - Forecasting the Production of Fully-Mechanised Coal Face by Meta-Synthetic Al Method ID - 1359 ER - TY - CONF AB - The majority of recent work in forensic analysis of visual surveil- lance content has been focusing on automatic information extraction aspects. However, little attention has been paid to the intelligent reuse of extracted (meta)data. For reasoning upon such pre-acquired metadata, in our previous paper [1], we proposed the use of logic programming to represent human knowledge and the use of subjective logic [2] to handle uncertainty implied in the extracted data and the logical rules. In this paper, we further explore the proposed approach for analyzing the relationship between two persons and, more specifically, for estimating whether one person could serve as a witness of another person in a public area scene. We first develop a rule based model for the likelihood of being a good witness that uses metadata extracted by a person tracker and evaluates the relationship between the tracked persons. To cope with the uncertainty in the relationship model, we develop a reputational subjective opinion function for the spatial-temporal relations. In addition, we accumu- late the acquired opinions over time using subjective logic's fusion operator. To verify our approach, we finally present a preliminary experimental case study. AU - Han, Seunghan AU - Koo, Bonjung AU - Hutter, Andreas AU - Stechele, Walter C3 - 11th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 10, April 12, 2010 - April 14, 2010 DA - 2010 KW - face recognition Image analysis Logic programming Metadata Multimedia services Temporal logic N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 ST - Forensic reasoning upon pre-obtained surveillance metadata using uncertain spatio-temporal rules and subjective logic T3 - 11th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 10 TI - Forensic reasoning upon pre-obtained surveillance metadata using uncertain spatio-temporal rules and subjective logic ID - 842 ER - TY - CONF AB - The notion of reflection has attracted the attention of researchers in the field of computer science. Consequently, several theories of computational reflection have been developed. In a sense, all these theories come down to applying the symbolic processing paradigm to the inner workings of computational engines. As fascinating as the topic may be, the interest in it within computer science is not so constant, albeit rather persistent. We think that this situation is likely caused by the inherent cognitive complexity of the topic. It is our belief that the use of standard modelling methods with respect to the issue of computational reflection can assist in decreasing this cognitive complexity. Therefore, as a first step, we applied the Booch method to the theory of Smith (1982). This theory relies on the application of the reflection hypothesis and the use of meta-circular processes. AU - Lemmens, I. M. C. AU - Braspenning, P. J. C3 - Proceedings of 2nd International Conference on Meta-Level Architectures and Reflection 1999, 19-21 July 1999 DA - 1999 KW - Computation theory Computer Science modelling PB - Springer-Verlag PY - 1999 SP - 135-7 ST - A formal analysis of Smithsonian computational reflection T3 - Meta-Level Architectures and Reflection. Second International Conference, Reflection '99. Proceedings (Lecture Notes in Computer Science Vol.1616) TI - A formal analysis of Smithsonian computational reflection ID - 1072 ER - TY - JOUR AB - Assessing the quality of and integrating clinical trial reports are necessary to practice evidence-based medicine. In particular, the numerical data is essential to understanding the strength and quality of the clinical trial study. In this paper, we present a formal representation for standardizing numerical data in published clinical trial reports, and our efforts towards developing computational tools to capture and visualize this representation. The approach includes two aspects: a process model used to precisely define experimental context behind the numerical value; and a spreadsheet, an intuitive and familiar tool used to organize numerical data. We demonstrated this representation using clinical trial reports on non-small cell lung cancer (NSCLC). We performed a preliminary evaluation to determine the usefulness of this formalism for identifying the characteristics, quality and significance of a clinical trial. Our initial results demonstrate that the representation is sufficiently expressive to capture reported numerical information in published papers. AU - Tong, Maurine AU - Hsu, William AU - Taira, Ricky K. DA - 2013 J2 - Stud Health Technol Inform KW - *Periodicals as Topic *Terminology as Topic *Vocabulary, Controlled Clinical Trials as Topic/*methods Data Mining/methods Documentation/*methods Evidence-Based Medicine Humans Lung Neoplasms/*drug therapy natural language processing Outcome Assessment (Health Care)/*methods Software User-Computer Interface LA - eng PY - 2013 SN - 0926-9630 0926-9630 SP - 856-860 ST - A formal representation for numerical data presented in published clinical trial reports T2 - Studies in health technology and informatics TI - A formal representation for numerical data presented in published clinical trial reports VL - 192 ID - 336 ER - TY - JOUR AB - Context Model-driven Engineering (MDE) promotes the utilization of models as primary artifacts in all software engineering activities. Therefore, mechanisms to ensure model correctness become crucial, specially when applying MDE to the development of software, where software is the result of a chain of (semi)automatic model transformations that refine initial abstract models to lower level ones from which the final code is eventually generated. Clearly, in this context, an error in the model/s is propagated to the code endangering the soundness of the resulting software. Formal verification of software models is a promising approach that advocates the employment of formal methods to achieve model correctness, and it has received a considerable amount of attention in the last few years. Objective The objective of this paper is to analyze the state of the art in the field of formal verification of models, restricting the analysis to those approaches applied over static software models complemented or not with constraints expressed in textual languages, typically the Object Constraint Language (OCL). Method We have conducted a Systematic Literature Review (SLR) of the published works in this field, describing their main characteristics. Results The study is based on a set of 48 resources that have been grouped in 18 different approaches according to their affinity. For each of them we have analyzed, among other issues, the formalism used, the support given to OCL, the correctness properties addressed or the feedback yielded by the verification process. Conclusions One of the most important conclusions obtained is that current model verification approaches are strongly influenced by the support given to OCL. Another important finding is that in general, current verification tools present important flaws like the lack of integration into the model designer tool chain or the lack of efficiency when verifying large, real-life models. 2014 Elsevier B.V. All rights reserved. AU - Gonzalez, Carlos A. AU - Cabot, Jordi DA - 2014 DO - 10.1016/j.infsof.2014.03.003 IS - 8 J2 - Information and Software Technology KW - Chains TOOLS Verification L1 - internal-pdf://2608636141/Gonzalez-2014-Formal verification of static so.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 09505849 SP - 821-838 ST - Formal verification of static software models in MDE: A systematic review T2 - Information and Software Technology TI - Formal verification of static software models in MDE: A systematic review UR - http://dx.doi.org/10.1016/j.infsof.2014.03.003 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0950584914000627/1-s2.0-S0950584914000627-main.pdf?_tid=710913a8-8336-11e6-97ce-00000aacb35e&acdnat=1474818233_576ad0d5a18eb2aa23f5425422801351 VL - 56 ID - 735 ER - TY - JOUR AB - The classic approach of the portfolio optimization is solvable by the classic models of mathematic planning when the number of assets able to investment and the available constraints in the market are limited. However, when considering the terms and constraints of real world, the classic approach of portfolio optimization is not easily solvable using the classical methods of mathematical optimization. It is why, using the methods Meta-heuristic and the evolutionary algorithms in portfolio optimization has been of the most Important issues recently. The main objective of present research is to present an appropriate practical approach to select the optimal stock portfolio. On this regard, a multi-objective mathematical programming model has been designed based on Grey Relational Analysis and C5 algorithm, and then to solve this model and in order to achieve the optimized combination of the rank and risk, the Shuffled Frog-Leaping Algorithm was used. The presented methodology was used in Tehran Stock Exchange. AU - Razi, Farshad Faezy AU - Shahabi, Vahid DA - 2016 DO - 10.1080/09720510.2015.1086165 IS - 3 PY - 2016 SN - 0972-0510 SP - 397-421 ST - Forming the stock optimized portfolio using model Grey based on C5 and the Shuffled frog leap algorithm T2 - Journal of Statistics & Management Systems TI - Forming the stock optimized portfolio using model Grey based on C5 and the Shuffled frog leap algorithm VL - 19 ID - 2019 ER - TY - JOUR AB - In this article, we present a systematic mapping study of research on personality in software engineering. The goal is to plot the landscape of current published empirical and theoretical studies that deal with the role of personality in software engineering. We applied the systematic review method to search and select published articles, and to extract and synthesize data from the selected articles that reported studies about personality. Our search retrieved more than 19,000 articles, from which we selected 90 articles published between 1970 and 2010. Nearly 72% of the studies were published after 2002 and 83% of the studies reported empirical research findings. Data extracted from the 90 studies showed that education and pair programming were the most recurring research topics, and that MBTI was the most used test. Research related to pair programming, education, team effectiveness, software process allocation, software engineer personality characteristics, and individual performance concentrated over 88% of the studies, while team process, behavior and preferences, and leadership performance were the topics with the smallest number of studies. We conclude that the number of articles has grown in the last few years, but contradictory evidence was found that might have been caused by differences in context, research method, and versions of the tests used in the studies. While this raises a warning for practitioners that wish to use personality tests in practice, it shows several opportunities for the research community to improve and extend findings in this field. 2014 Elsevier Ltd. All rights reserved. AU - Cruz, Shirley AU - Da Silva, Fabio Q. B. AU - Capretz, Luiz Fernando DA - 2015 DO - 10.1016/j.chb.2014.12.008 J2 - Computers in Human Behavior KW - data mining Mapping Publishing Search Engines software engineering L1 - internal-pdf://2000419805/Cruz-2015-Forty years of research on personali.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 07475632 SP - 94-113 ST - Forty years of research on personality in software engineering: A mapping study T2 - Computers in Human Behavior TI - Forty years of research on personality in software engineering: A mapping study UR - http://dx.doi.org/10.1016/j.chb.2014.12.008 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0747563214007237/1-s2.0-S0747563214007237-main.pdf?_tid=81099174-8331-11e6-8e4a-00000aacb361&acdnat=1474816112_5dfa8e0fc44ca38c283f214292f137ef VL - 46 ID - 718 ER - TY - CONF A2 - Rauch, J. A2 - Berka, P. A2 - Ras, Z. W. A2 - Elomaa, T. AB - The following topics are dealt with: knowledge discovery and data mining; multirelational databases; GUHA method; applications of intelligent systems in medicine; fuzzy computational intelligent approach; logical and theoretical aspects of intelligent systems; P2P mappings between sources schemas; OWL ontology; context-aware applications; quasi-classical model semantics; text mining; chinese Web documents theme extraction; applications of intelligent systems in music; emotions from midi files; musical patterns; information processing; knowledge creation processes based on different types of monitored data; modeling ant activity; multi-agent systems building modern approach; aggregating similar agents; machine learning; job offer management; workflow mining; GIS-FL solution; CBR system; macro mine planning; distributed immunization strategy; cross-graph cliques; computer grid statistical characterization; general AI; revisiting constraint models; interval valued fuzzy formal concept analysis; meta sets application to character recognition; and revising belief bases using qualitative Jeffrey's rule. C3 - Foundations of Intelligent Systems. 18th International Symposium, ISMIS 2009, 14-17 Sept. 2009 DA - 2009 KW - data mining Fuzzy systems Knowledge based systems learning (artificial intelligence) multi-agent systems PB - Springer-Verlag PY - 2009 SP - xvi+624 ST - Foundations of Intelligent Systems. Proceedings 18th International Symposium, ISMIS 2009 TI - Foundations of Intelligent Systems. Proceedings 18th International Symposium, ISMIS 2009 ID - 1315 ER - TY - JOUR AB - Purpose - This paper sets out to investigate the meaning, role and implications of contextual information associated with digital collections. Design/methodology/approach - This paper is based on an extensive review and analysis of both the scholarly literature from many disciplines about the concept of context and the professional literature (including standards) related to the description of information artifacts. The paper provides an analysis of context, distinguishing three main ways in which that term has been used within the scholarly literature. It then discusses contextual information within digital collections, and presents a framework for contextual information. It goes on to discuss existing standards and guidance documents for encoding information related to the nine classes of contextual entities, concluding with a discussion of potential implications for descriptive practices through the lifecycle of digital objects. Findings - The paper presents a framework for contextual information that is based on nine classes of contextual entities: object, agent, occurrence, purpose, time, place, form of expression, concept/abstraction, and relationship. Research limitations/implications - Research and development about and in support of digital collections will benefit from a clear articulation of the types, roles, importance and elements of contextual information. Practical implications - Future users of digital objects will probably have numerous tools for discovering preserved digital objects relevant to their interests, but making meaningful use and sense of the digital objects will also require capture, collection and management of contextual information. Originality/value - This paper synthesizes and extends a previously diffuse literature, in order to clarify and articulate core concepts in the management of digital collections. AU - Lee, C. A. DA - 2011 DO - 10.1108/00220411111105470 IS - 1 J2 - Journal of Documentation KW - data mining Digital Libraries meta data ubiquitous computing PY - 2011 SN - 0022-0418 SP - 95-143 ST - A framework for contextual information in digital collections T2 - Journal of Documentation TI - A framework for contextual information in digital collections UR - http://dx.doi.org/10.1108/00220411111105470 VL - 67 ID - 1268 ER - TY - CONF AB - In this paper, we describe a three-step content-based approach to image retrieval and mining. At a first step, visual features such as color and shape are generated from images by improving a few existing feature extraction techniques. Then, both visual features and descriptive data (i.e., metadata) are considered for a coarse-grain similarity analysis using a conceptual clustering approach called formal concept analysis (concept lattice theory). This approach is designed and implemented so that exploratory mechanisms such as browsing, zooming/shrinking and visualization allow the user to discover and refine the cluster which is the most appropriate to his/her target image. At this second stage, issues such as dimension reduction, cluster construction and association rule generation are handled. The last step consists to conduct a fine-grain similarity analysis on some selected cluster(s) identified at the second stage by using two newly proposed similarity measures. AU - Missaoui, R. AU - Sarifuddin, M. AU - Hamouda, Y. AU - Vaillancourt, J. AU - Laggoune, H. C3 - Visual Communications and Image Processing 2003, 8-11 July 2003 DA - 2003 DO - 10.1117/12.503300 KW - content-based retrieval feature extraction image retrieval learning (artificial intelligence) meta data PB - SPIE-Int. Soc. Opt. Eng. PY - 2003 SN - 0277-786X SP - 430-8 ST - Framework for image mining and retrieval T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE - Int. Soc. Opt. Eng. (USA) TI - Framework for image mining and retrieval UR - http://dx.doi.org/10.1117/12.503300 VL - 5150 ID - 1294 ER - TY - CONF AB - In this paper, we propose a framework to integrate bibliographical data of computer science publications from heterogeneous digital libraries. The framework consists of three key components: publication collector, bibliographical parser and duplicated checker. In order to analyze efficiency of our framework in integrating data from heterogeneous sources, we conduct experiment with three different digital libraries: Microsoft Academic Search, CiteSeerX and DBLP. At this time, our integrated dataset contains 5.320.539 publications and 1.723.148 authors and their metadata. Our dataset increases quantity of rows and columns compared with the others. Thus, it could be published for other studies related to bibliographical data such as searching literature, ranking publications, identifying the research trend, mining the linking of articles. AU - Tien, Do AU - Dao, Lam AU - Tin, Huynh C3 - 2014 International Conference on Computing, Management and Telecommunications (ComManTel), 27-29 April 2014 DA - 2014 DO - 10.1109/ComManTel.2014.6825612 KW - bibliographic systems data integration Digital Libraries Electronic publishing meta data PB - IEEE PY - 2014 SP - 245-50 ST - A framework for integrating bibliographical data of computer science publications T3 - 2014 International Conference on Computing, Management and Telecommunications (ComManTel) TI - A framework for integrating bibliographical data of computer science publications UR - http://dx.doi.org/10.1109/ComManTel.2014.6825612 ID - 950 ER - TY - JOUR AB - Combining data from available studies is a useful approach to interpret the overwhelming amount of data generated in medical research from multiple studies. Paradoxically, in veterinary medicine, lack of data requires integrating available data to make meaningful population inferences. Nonlinear mixed-effects modeling is a useful tool to apply meta-analysis to diverse pharmacokinetic (PK) studies of veterinary drugs. This review provides a summary of the characteristics of PK data of veterinary drugs and how integration of these data may differ from human PK studies. The limits of meta-analysis include the sophistication of data mining, and generation of misleading results caused by biased or poor quality data. The overriding strength of meta-analysis applied to this field is that robust statistical analysis of the diverse sparse data sets inherent to veterinary medicine applications can be accomplished, thereby allowing population inferences to be made. AU - Li, Mengjie AU - Gehring, Ronette AU - Lin, Zhoumeng AU - Riviere, Jim DA - 2015/04//undefined DO - 10.1002/jps.24341 IS - 4 J2 - J Pharm Sci KW - *Meta-Analysis as Topic *Models, Biological *Models, Statistical Animals clearance Computer Simulation Databases, Factual data mining distribution drug depletion drug withdrawal time formulation Humans Meta-analysis Nonlinear Dynamics nonlinear mixed-effect modeling pharmacokinetics population pharmacokinetics Reproducibility of results Species Specificity Veterinary Drugs/administration & dosage/*pharmacokinetics veterinary medicine L1 - internal-pdf://2154909817/Li-2015-A framework for meta-analysis of veter.pdf LA - eng PY - 2015 SN - 1520-6017 0022-3549 SP - 1230-1239 ST - A framework for meta-analysis of veterinary drug pharmacokinetic data using mixed effect modeling T2 - Journal of pharmaceutical sciences TI - A framework for meta-analysis of veterinary drug pharmacokinetic data using mixed effect modeling UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0022354915301465/1-s2.0-S0022354915301465-main.pdf?_tid=4fb151e2-8341-11e6-9053-00000aacb35f&acdnat=1474822901_efc9b6553508e8eaf4983e1be8d4455f VL - 104 ID - 2 ER - TY - CONF AB - For difficult classification or regression problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually results in simpler, more interpretable and actionable models without any lossin accuracy. We consider problems such as predicting customer behavior across products, where the independent variables can be naturally partitioned into two groups. A pivoting operation can now result in the dependent variable showing up as entries in a "customer by product" data matrix. We present a model-based co-clustering (meta)-algorithm that interleaves clustering and construction of prediction models to iteratively improve both cluster assignment and fit of the models. This algorithm provably converges to a local minimum of a suitable cost function. The framework not only generalizes co-clustering and collaborative filtering to model-basedco-clustering, but can also be viewed as simultaneous co-segmentation and classification or regression, which is better than independently clustering the data first and then building models. Moreover, it applies to a wide range of bi-modal or multimodal data, and can be easily specialized to address classification and regression problems. We demonstrate the effectiveness of our approach on both these problems through experimentation on real and synthetic data. 2007 ACM. AU - Deodhar, Meghana AU - Ghosh, Joydeep C3 - KDD-2007: 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 12, 2007 - August 15, 2007 DA - 2007 DO - 10.1145/1281192.1281222 KW - Classification (of information) Cluster Analysis data mining Learning systems Mathematical models Problem solving Regression Analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2007 SP - 250-259 ST - A framework for simultaneous co-clustering and learning from complex data T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - A framework for simultaneous co-clustering and learning from complex data UR - http://dx.doi.org/10.1145/1281192.1281222 http://dl.acm.org/citation.cfm?doid=1281192.1281222 ID - 1041 ER - TY - BOOK AB - Data mining is the analysis of experimental datasets to extract trends and relationships that can be meaningful for the user. In genetic studies these techniques have revealed interesting findings, especially in the heritable predisposition to contract specific diseases. One of these diseases which is still under extensive analysis is pre-eclampsia, a progressive disorder which occurs during pregnancy and soon after the birth, affecting both the mothers and their babies. There are many choices to be made in the application of the various data mining techniques that may be used to study general genotype-phenotype associations. The aim of this paper is to describe the general framework that we adopted in the application of decision tree algorithms to the analysis of SNPs data related to cases of pre-eclampsia. The results show the validity of this methodology to detect a subset of attributes associated with the predictable variable, providing a reduction in the size of the dataset. Moreover, from the clinical point of view, it confirmed the medical interpretation of the 'corrected birth-weight centile' (CBC) value of 10 being a meaningful cut-off and confirmed association between an infant's CBC and the 'week of delivery' parameter. We hope that the generic framework described here will be of use to other researchers analysing such data. AU - Fiaschi, Linda AU - Garibaldi, Jonathan M. AU - Krasnogor, Natalio DA - 2009 PY - 2009 SN - 978-1-4244-2756-7 ST - A Framework for the Application of Decision Trees to the Analysis of SNPs Data TI - A Framework for the Application of Decision Trees to the Analysis of SNPs Data ID - 2112 ER - TY - CONF AB - To remedy lacks in modeling and analysis of health care flow, we present in this paper a new modeling methodology for addressing organization problems of health care systems. It is a patient-centered meta-model based on three views : (1) process (pathway of patients), (11) resource (activity of involved resources), and (iii) organization (resources relations and specializations, structure of the system). These personalized view are a powerful communication tool. The resulting metamodel can be instantiated for a specific system and immediately simulated via templates, offering a fast-prototyping tool for health care systems. 2007 IEEE. AU - Augusto, Vincent AU - Xie, Xiaolan AU - Grimaud, Frederic C3 - 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007, September 22, 2007 - September 25, 2007 DA - 2007 DO - 10.1109/COASE.2007.4341698 KW - Computer Simulation Health care Mathematical models Problem solving Societies and institutions N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2007 SP - 231-236 ST - A framework for the modeling and simulation of health care systems T3 - Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007 TI - A framework for the modeling and simulation of health care systems UR - http://dx.doi.org/10.1109/COASE.2007.4341698 ID - 466 ER - TY - BOOK A3 - Bramer, M. A2 - Coenen, F. A2 - Petridis, M. AB - In this paper we describe the concept of Meta ARM in the context of its objectives and challenges and go on to describe and analyse a number of potential solutions. Meta ARM is defined as the process of combining the results of a number of individually obtained Associate Rule Mining (ARM) operations to produce a composite result. The typical scenario where this is desirable is in multi-agent data mining where individual agents wish to preserve the security and privacy of their raw data but axe prepared to share data mining results. Four Meta ARM algorithms axe described: a Brute Force approach, an Apriori approach and two hybrid techniques. A "bench mark" system is also described to allow for appropriate comparison. A complete analysis of the algorithms is included that considers the effect of: the number of data sources, the number of records in the data sets and the number of attributes represented. AU - Albashiri, Kamal Ali AU - Coenen, Frans AU - Sanderson, Rob AU - Leng, Paul DA - 2008 PY - 2008 SN - 978-1-84800-093-3 ST - Frequent set meta mining: Towards multi-agent data mining TI - Frequent set meta mining: Towards multi-agent data mining ID - 1975 ER - TY - CONF AB - In this paper, a text document categorization method called Theme Word Subspace (TWS) learning is presented, which utilizes theme words jointly express class-semantic information for document classification. In a class corpus, the theme words with high probability distribution in topic structure are extracted firstly, and then these words as important theme element span class subspaces to jointly represent semantic and distribution of the class. For document categorization processing, a text document is belonged to the nearest subspace whose theme words have the best representation for test document. In our TWS, L1, L2 norm are separately used for measuring the distances of a test document to subspaces. Experiments on a large Chinese text corpus, the proposed TWS learning methods exhibit comparable performances for text document category. AU - Gu, Jifa C3 - Workshop on Data Mining and Intelligent Knowledge Management, DM-IKM 2012, August 12, 2012 - August 16, 2012 DA - 2012 DO - 10.1145/2462130.2462131 KW - Classification (of information) data mining information retrieval systems Knowledge management Probability distributions Semantics Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2012 SP - ACM-Spec. Interest Group Knowl. Discov. Data (SIGKDD); ACM Special Interest Group on Management of Data (SIGMOD) ST - From D-I-K to wisdom and meta-synthesis of wisdom T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - From D-I-K to wisdom and meta-synthesis of wisdom UR - http://dx.doi.org/10.1145/2462130.2462131 http://dl.acm.org/citation.cfm?doid=2462130.2462131 ID - 1838 ER - TY - CONF AB - Hypertextual linking of information is one of the basic principles of digital media. We suppose this principle to be discovered in metaphorical thinking with the help of the so-called absolute metaphors. We derive the notion of an absolute metaphor from Hans Blumenberg's metaphorology, and we interpret metaphors according to Max Black's interaction theory. Our aim is to interpret these absolute metaphors as being open to new implications, just as they are open to a pragmatically deter-mined dialectical interaction of organic and mechanical meta-phorics. We follow the direction of interactions within these metaphorics in a philosophical attempt to explain the nature of mechanical and organic systems. In particular we will analyse the metaphors association is trail' (Bush), -computer is a clerk' (Engelbart) and hypertext is a Xanadu' (Nelson). All these metaphors are both organic and mechanical. That is why we can say that hypertext is both an organic and mechanical system. AU - Kobikova, Zuzana AU - Macha, Jakub C3 - AISB Convention 2015, April 20, 2015 - April 22, 2015 DA - 2015 KW - Digital storage Hypertext systems Philosophical aspects N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB) PY - 2015 ST - From metaphor to hypertext: An interplay of organic and mechanical metaphorics in the context of new media discovering T3 - AISB Convention 2015 TI - From metaphor to hypertext: An interplay of organic and mechanical metaphorics in the context of new media discovering ID - 488 ER - TY - CONF AB - The IVTV Plan (Integration, Verification, Transition and Validation of the system before its Qualification) is developed and validated during the design stage. It details all the activities, resources, requirements, means, etc. requested during the realization stage so it is the hyphen between these two crucial stages in system life cycle. It is today necessary to help companies to better transfer detailed design models towards realization for many reasons discussed in this paper. Mainly, IVTV plan remains difficult to be exploited. This article proposes a first step towards a Model-Based Realization Plan, that is, a meta-model that represents the links between models that comes from Model-Based System Engineering and information required in the IVTV plan. IFIP International Federation for Information Processing 2014. AU - Chapurlat, Vincent AU - Bonjour, Eric C3 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2014, September 20, 2014 - September 24, 2014 DA - 2014 DO - 10.1007/978-3-662-44739-0_14 KW - Industrial management Integration Knowledge based systems Systems analysis Systems engineering Verification N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer New York LLC PY - 2014 SN - 18684238 SP - 109-116 ST - From Model Based Systems Engineering to Model Based System Realization: Role and Relevance of IVTV Plan T3 - IFIP Advances in Information and Communication Technology TI - From Model Based Systems Engineering to Model Based System Realization: Role and Relevance of IVTV Plan UR - http://dx.doi.org/10.1007/978-3-662-44739-0_14 VL - 438 ID - 742 ER - TY - JOUR AB - This thesis (Diesner in Technical Report CMU-ISR-12-101, 2012) addresses a series of methodological problems related to extracting information on socio-technical networks from natural language text data. Theories and models from the social sciences are leveraged and combined with computational approaches to (a) construct, analyze and compare network data and (b) combine text data and network data for analysis. This thesis entails various projects that serve three purposes: First, the impact of various common coding choices, including reference resolution and co-occurrence-based link formation, on network data and analysis results is empirically identified across multiple types of text data and domains. Second, different relation extraction methods are compared across various over-time, open-source, large-scale datasets with respect to the resulting network data and analysis results. This study offers a complement to traditional strategies for accuracy assessment. The relation extraction methods considered include network data construction based on (a) manually versus automatically built thesauri, (b) meta-data, and (c) collaboration with subject matter experts. Third, the concepts of grouping and roles from network analysis are integrated with text mining methods to enable the theoretically grounded, joint consideration of text data and network data for real-world applications. AU - Diesner, J. DA - 2013/02// DO - 10.1007/s13218-012-0225-0 IS - 1 J2 - KI-Kunstliche Intelligenz KW - data analysis Graph theory information retrieval meta data natural language processing semantic networks text analysis thesauri PY - 2013 SN - 0933-1875 SP - 75-8 ST - From Texts to Networks: Detecting and Managing the Impact of Methodological Choices for Extracting Network Data from Text Data T2 - KI-Kunstliche Intelligenz TI - From Texts to Networks: Detecting and Managing the Impact of Methodological Choices for Extracting Network Data from Text Data UR - http://dx.doi.org/10.1007/s13218-012-0225-0 VL - 27 ID - 1311 ER - TY - JOUR AB - The objective of this special issue is to introduce a new theme, the use of game and decision theory in reliability modeling and risk analysis, which was the focus of the First Symposium on Games and Decisions in Reliability and Risk (GDRR) held at the George Washington University on May 27-28, 2009. The issue considered papers presented at the Second Symposium on GDRR (http://www.mi.imati.cnr.it/conferences/gdrr11.html), held at the Hotel Villa Carlotta, Belgirate (VB), Lake Maggiore, Italy, on May 19-21, 2011, and also was open to the public for submission of papers relevant to the theme. The contributors to the special issue include Sevillano, Rios Insua, and Rios; Delquie; Foschi and Spizzichino; French; Bhattacharjya and Deleris; Bhattacharjya and Shachter; Lejeune; Cheung and Zhuang; Smith and Dodd; Sri Bhashyam and Montibeller; and Pate-Cornell. AU - Merrick, Jason R. W. AU - Ruggeri, Fabrizio AU - Soyer, Refik AU - Keller, L. Robin DA - 2012/06// DO - 10.1287/deca.1120.0245 IS - 2 PY - 2012 SN - 1545-8490 SP - 81-85 ST - From the Editors Games and Decisions in Reliability and Risk T2 - Decision Analysis TI - From the Editors Games and Decisions in Reliability and Risk VL - 9 ID - 1935 ER - TY - JOUR AB - There's content everywhere, but not the information you need. Content analysis can organize a pile of text into a richly accessible repository. This article explains two key technologies for generating metadata about content - automatic categorization and information extraction. These technologies, and the applications that metadata makes possible, can transform an organization's reservoir of unstructured content into a well-organized repository of knowledge. With metadata available, a company's search system can move beyond simple dialogs to richer means of access that work in more situations. Information visualization, for example, uses metadata and our innate visual abilities to improve access. Besides better access, metadata enables intelligent switching in the content flows of various organizational processes - for example, making it possible to automatically route the right information to the right person. A third class of metadata applications involves mining text to extract features for analysis using the statistical approaches typically applied to structured data. For example, if you turn the text fields in a survey into data, you can then analyze the text along with other data fields. All these metadata-powered applications can improve your company's use of its information resources. AU - Rao, R. DA - 2003/11// IS - 6 J2 - IT Professional KW - Computational linguistics Database management systems data mining data visualisation Information Management meta data text analysis PY - 2003 SN - 1520-9202 SP - 29-35 ST - From unstructured data to actionable intelligence T2 - IT Professional TI - From unstructured data to actionable intelligence VL - 5 ID - 1466 ER - TY - CONF AB - The World Wide Web has become a major source of information that can be turned into valuable knowledge for individuals and organisations. In the work presented, we are concerned with the extraction of meta-knowledge from the Web. In particular, knowledge about Web usage which is invaluable to the construction of Web sites that meet their purpose and prevent disorientation. Towards this goal, we propose the organisation of the users of a Web site into groups with common navigational behaviour (user communities). We view the task of building user communities as a data mining task, searching for interesting patterns within a database. The database that we use in our experiments consists of access logs collected from the Web site of the Advanced Course on Artificial Intelligence 1999. The unsupervised machine learning algorithm COBWEB is used to organise the users of the site, who follow similar paths, into a small set of communities. Particular attention is paid to the interpretation of the communities that are generated through this process. For this purpose, we use a simple metric to identify the representative navigational behaviour for each community. This information can then be used by the administrators of the site to re-organise it in a way that is tailored to the needs of each community. The proposed Web usage analysis is much more insightful than the common approach of examining simple usage statistics of the Web site. AU - Paliouras, G. AU - Papatheodorou, C. AU - Karkaletsis, V. AU - Spyropoulos, C. AU - Tzitziras, P. C3 - IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics, 12-15 Oct. 1999 DA - 1999 DO - 10.1109/ICSMC.1999.825226 KW - data mining Information Resources information use Internet unsupervised learning User interfaces PB - IEEE PY - 1999 SP - 159-64 ST - From Web usage statistics to Web usage analysis T3 - IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028) TI - From Web usage statistics to Web usage analysis UR - http://dx.doi.org/10.1109/ICSMC.1999.825226 VL - vol.2 ID - 1690 ER - TY - CONF AB - The proceedings contain 30 papers. The topics discussed include: argumentation schemes for statutory interpretation: a logical analysis; interpretative argumentation schemes; on the interactional meaning of fundamental legal concepts; a model of air transport passenger incidents and rights; abstract dialectical frameworks for legal reasoning; extracting legal arguments from forensic Bayesian networks; managing motivation at the workplace through negotiation; extracting scenarios from a Bayesian network as explanations for legal evidence; facilitating re-use of legal data in applications - Finnish law as a linked open data service; open-access grant data: towards meta-research innovation; mining information from statutory texts in multi-jurisdictional settings; legislation as a complex network: modelling and analysis of European union legal sources; towards measures of complexity: applying structural and linguistic metrics to German laws; and towards graph-based and semantic search in legal information access systems. C3 - 27th International Conference on Legal Knowledge and Information Systems, JURIX 2014, December 10, 2014 - December 12, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IOS Press PY - 2014 SN - 09226389 ST - Frontiers in Artificial Intelligence and Applications T3 - Frontiers in Artificial Intelligence and Applications TI - Frontiers in Artificial Intelligence and Applications VL - 271 ID - 539 ER - TY - JOUR AU - Zweigenbaum, Pierre AU - Demner-Fushman, Dina AU - Yu, Hong AU - Cohen, Kevin B. DA - 2007 DP - Google Scholar IS - 5 PY - 2007 SP - 358-375 ST - Frontiers of biomedical text mining T2 - Briefings in bioinformatics TI - Frontiers of biomedical text mining: current progress UR - http://bib.oxfordjournals.org/content/8/5/358.short http://bib.oxfordjournals.org/content/8/5/358.full VL - 8 Y2 - 2016/09/24/15:35:34 ID - 2334 ER - TY - CONF AB - Citation relationship between scientific publications has been successfully used for scholarly bibliometrics, information retrieval and data mining tasks, and citation-based recommendation algorithms are well documented. While previous studies investigated citation relations from various viewpoints, most of them share the same assumption that, if paper1 cites paper2 (or author1 cites author2), they are connected, regardless of citation importance, sentiment, reason, topic, or motivation. However, this assumption is oversimplified. In this study, we employ an innovative 'context-rich heterogeneous network' approach, which paves a new way for citation recommendation task. In the network, we characterize 1) the importance of citation relationships between citing and cited papers, and 2) the topical citation motivation. Unlike earlier studies, the citation information, in this paper, is characterized by citation textual contexts extracted from the full-text citing paper. We also propose algorithm to cope with the situation when large portion of full-text missing information exists in the bibliographic repository. Evaluation results show that, context-rich heterogeneous network can significantly enhance the citation recommendation performance. 2014 IEEE. AU - Liu, Xiaozhong AU - Yu, Yingying AU - Guo, Chun AU - Sun, Yizhou AU - Gao, Liangcai C3 - 2014 14th IEEE/ACM Joint Conference on Digital Libraries, JCDL 2014, September 8, 2014 - September 12, 2014 DA - 2014 DO - 10.1109/JCDL.2014.6970191 KW - data mining Digital Libraries Heterogeneous networks Information services Motivation N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2014 SN - 15525996 SP - 361-370 ST - Full-text based context-rich heterogeneous network mining approach for citation recommendation T3 - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries TI - Full-text based context-rich heterogeneous network mining approach for citation recommendation UR - http://dx.doi.org/10.1109/JCDL.2014.6970191 ID - 1374 ER - TY - JOUR AB - The rise of "born geographic" information and the increasing creation and mediation of information in a spatial context has given rise to a demand for extracting and indexing the spatial information in large textual archives. Spatial indexing of archives has traditionally been a manual process, with human editors reading and assigning country-level metadata indicating the major spatial focus of a document. The demand for subnational saturation indexing of all geographic mentions in a document, coupled with the need to scale to archives totaling hundreds of billions of pages or those accessioning hundreds of millions of new items a day requires automated approaches. Fulltext geocoding refers to the process of using software algorithms to parse through a document, identify textual mentions of locations, and using databases of places and their approximate locations known as gazetteers, to convert those mentions into mappable geographic coordinates. The basic workflow of a fulltext geocoding system is presented, together with an overview of the GNS and GNIS gazetteers that lie at the heart of nearly every global geocoding system. Finally, a case study comparing manually-specified geographic indexing terms versus fulltext geocoding on the English-language edition of Wikipedia demonstrates the significant advantages of automated approaches, including finding that previous studies of Wikipedia's spatial focus using its human-provided spatial metadata have erroneously identified Europe as its focal point because of bias in the underlying metadata. AU - Leetaru, K. H. DA - 2012/10//Sept DO - 10.1045/september2012-leetaru IS - 9-10 J2 - D-Lib Magazine KW - data visualisation Geographic information systems grammars indexing information retrieval interactive systems meta data text analysis Web sites PY - 2012 SN - 1082-9873 SP - 16-pp. ST - Fulltext Geocoding Versus Spatial Metadata for Large Text Archives: Towards a Geographically Enriched Wikipedia T2 - D-Lib Magazine TI - Fulltext Geocoding Versus Spatial Metadata for Large Text Archives: Towards a Geographically Enriched Wikipedia UR - http://dx.doi.org/10.1045/september2012-leetaru VL - 18 ID - 745 ER - TY - CONF AB - A fully distributed system was proposed for cost-effective data mining. The approach achieved higher accuracy than the centralized and partially distributed learning methods. It also incured less training time, without any communication or computational overheads. Experimental results showed that the total benefits were larger for the fully distributed system than for a partially distributed system using meta-learning. AU - Fan, Wei AU - Wang, Haixun AU - Yu, Philip S. AU - Stolfo, Salvatore J. C3 - 22nd International Conference on Distributed Systems, July 2, 2002 - July 5, 2002 DA - 2002 KW - Correlation methods data mining data structures decision making Distributed computer systems Fault tolerant computer systems Learning systems Optimization Probability Regression Analysis Relational database systems Risk Assessment Set theory Trees (mathematics) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2002 SP - 445-446 ST - A fully distributed framework for cost-sensitive data mining T3 - Proceedings - International Conference on Distributed Computing Systems TI - A fully distributed framework for cost-sensitive data mining ID - 1615 ER - TY - JOUR AB - Neuroscience literature increasingly suggests a conceptual self composed of interacting neural regions, rather than independent local activations, yet such claims have yet to be investigated. We, thus, combined task-dependent meta-analytic connectivity modeling (MACM) with task-independent resting-state (RS) connectivity analysis to delineate the neural network of the self, across both states. Given psychological evidence implicating the self's interdependence on social information, we also delineated the neural network underlying conceptual other-processing. To elucidate the relation between the self-/other-networks and their function, we mined the MACM metadata to generate a cognitive-behavioral profile for an empirically identified region specific to conceptual self, the pregenual anterior cingulate (pACC), and conceptual other, posterior cingulate/precuneus (PCC/PC). Mining of 7,200 published, task-dependent, neuroimaging studies, using healthy human subjects, yielded 193 studies activating the self-related seed and were conjoined with RS connectivity analysis to delineate a differentiated self-network composed of the pACC (seed) and anterior insula, relative to other functional connectivity. Additionally, 106 studies activating the other-related seed were conjoined with RS connectivity analysis to delineate a differentiated other-network of PCC/PC (seed) and angular gyrus/temporoparietal junction, relative to self-functional connectivity. The self-network seed related to emotional conflict resolution and motivational processing, whereas the other-network seed related to socially oriented processing and contextual information integration. Notably, our findings revealed shared RS connectivity between ensuing self-/other-networks within the ventromedial prefrontal cortex and medial orbitofrontal cortex, suggesting self-updating via integration of self-relevant social information. We, therefore, present initial neurobiological evidence corroborating the increasing claims of an intricate self-network, the architecture of which may promote social value processing. AU - Murray, Ryan J. AU - Debbane, Martin AU - Fox, Peter T. AU - Bzdok, Danilo AU - Eickhoff, Simon B. DA - 2015/04//undefined DO - 10.1002/hbm.22703 IS - 4 J2 - Hum Brain Mapp KW - *Self Concept Adult Brain Mapping/methods Brain/*physiology connectivity Databases, Factual data mining Female Humans Magnetic Resonance Imaging Male Mental Processes/*physiology Neural Pathways/physiology Neuropsychological Tests Positron-Emission Tomography posterior cingulate precuneus Rest rostral anterior cingulate self-concept Social Cognition social value LA - eng PY - 2015 SN - 1097-0193 1065-9471 SP - 1304-1324 ST - Functional connectivity mapping of regions associated with self- and other-processing T2 - Human brain mapping TI - Functional connectivity mapping of regions associated with self- and other-processing VL - 36 ID - 129 ER - TY - CONF AB - Meta-analyses aim to mine reliable research findings from individual studies and can be usefully applied to an increasing number of published functional brain imaging studies. In this paper we use a new meta-analysis method based on the Apriori algorithm of association rules that can be used to find the possible connection network of the brain. We analyzed 13 studies that investigated how the brain processes Chinese phonology, compared the results of activation likelihood estimation (ALE) meta-analysis, and generated a potential core connection network model of the brain during this processing. The identified regions included the left inferior frontal gyrus (IFG), left middle frontal gyrus (MFG), bilateral Supplementary motor areas (SMA), and left precentral gyrus. The described connection network model of brain regions was consistent with previous research. Furthermore, the network can facilitate better understanding of how the brain processes the Chinese language. 2015 IEEE. AU - Nie, Yaoxin AU - Wei, Jieyao AU - Zhu, Linlin AU - Zhou, Qian AU - Niu, Zhendong C3 - IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015, November 9, 2015 - November 12, 2015 DA - 2015 DO - 10.1109/BIBM.2015.7359853 KW - Activation analysis bioinformatics Brain Brain Mapping Functional Neuroimaging Learning algorithms Magnetic Resonance Imaging neuroimaging N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 1204-1208 ST - Functional connectivity of Chinese characters processing: A meta-analysis T3 - Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015 TI - Functional connectivity of Chinese characters processing: A meta-analysis UR - http://dx.doi.org/10.1109/BIBM.2015.7359853 ID - 1781 ER - TY - JOUR AB - The prediction of microRNA targets is a challenging task that has given rise to several prediction algorithms. Databases of predicted targets can be used in a microRNA target enrichment analysis, enhancing our capacity to extract functional information from gene lists. However, the available tools in this field analyze gene sets one by one limiting their use in a meta-analysis. Here, we present an R system for miRNA enrichment analysis that is suitable for systems biology. These collection of R scripts and embedded data allow using predicted targets of public databases or a custom integration of them. As a proof-of-principle, we have successfully performed the challenging analysis of 2158 tumoral samples at a time. The obtained results have been summarized in a network where each cancer disease is linked to enriched miRNAs and overrepresented functions. These network connections have proven to be an invaluable resource for the study of biological and pathological causes and effects of the expression of miRNAs. [All rights reserved Elsevier]. AU - Guruceaga, E. AU - Segura, V. DA - 2014/01/01/ DO - 10.1016/j.compbiomed.2013.11.001 J2 - Computers in Biology and Medicine KW - Cancer Genetics Genomics Knowledge acquisition medical computing meta data RNA tumours L1 - internal-pdf://2602290421/Guruceaga-2014-Functional interpretation of mi.pdf PY - 2014 SN - 0010-4825 SP - 124-31 ST - Functional interpretation of microRNA-mRNA association in biological systems using R T2 - Computers in Biology and Medicine TI - Functional interpretation of microRNA-mRNA association in biological systems using R UR - http://dx.doi.org/10.1016/j.compbiomed.2013.11.001 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0010482513003193/1-s2.0-S0010482513003193-main.pdf?_tid=19d53bd8-8337-11e6-9c18-00000aacb35f&acdnat=1474818516_185511269bad7426d5b68610e82ca3ec VL - 44 ID - 1569 ER - TY - CONF AB - The CLiMB project investigates semi-automatic methods to extract descriptive metadata from texts for indexing digital image collections. We developed a set of functional semantic categories to classify text extracts that describe images. Each semantic category names a functional relation between an image depicting a work of art historical significance, and expository text associated with the image. This includes description of the image, discussion of the historical context in which the work was created, and so on. We present interannotator agreement results on human classification of text extracts, and accuracy results from initial machine learning experiments. In our pilot studies, human agreement varied widely, depending the labeler's expertise, the image-text pair under consideration, the number of labels that could be assigned to one text, and the type of training, if any, we gave labelers. Initial machine learning results indicate the three most relevant categories are machine learnable. Based on our pilot work, we implemented a labeling interface that we are currently using to collect a large dataset of text that will be used in training and testing machine classifiers. AU - Passonneau, R. J. AU - Tae, Yano AU - Lippincott, T. AU - Klavans, J. C3 - 1st International Workshop on Metadata Mining for Image Understanding, 22 Jan. 2008 DA - 2008 KW - art classification feature extraction History image retrieval indexing learning (artificial intelligence) meta data text analysis PB - INSTICC Press PY - 2008 SP - 13-22 ST - Functional semantic categories for art history text - human labeling and preliminary machine learning T3 - 1st International Workshop on Metadata Mining for Image Understanding TI - Functional semantic categories for art history text - human labeling and preliminary machine learning ID - 702 ER - TY - CONF AB - In this paper we build on recent work on case-based product recommendation focused on generating rich product descriptions for use in a recommendation context by mining user-generated reviews. This is in contrast to conventional case-based approaches which tend to rely on case descriptions that are based on available meta-data or catalog descriptions. By mining user-generated reviews we can produce product descriptions that reflect the opinions of real users and combine notions of similarity and opinion polarity (sentiment) during the recommendation process. In this paper we compare different variations on our review-mining approach, one based purely on features found in reviews, one seeded by features that are available from meta-data, and one hybrid approach that combines both approaches. We evaluate these approaches across a variety of datasets form the travel domain. AU - Ruihai, Dong AU - O'Mahony, M. P. AU - Smyth, B. C3 - Case-Based Reasoning Research and Development 22nd International Conference, ICCBR 2014, 29 Sept.-1 Oct. 2014 DA - 2014 DO - 10.1007/978-3-319-11209-1_9 KW - data mining meta data query processing Recommender systems PB - Springer International Publishing PY - 2014 SP - 110-24 ST - Further Experiments in Opinionated Product Recommendation T3 - Case-Based Reasoning Research and Development. 22nd International Conference, ICCBR 2014. Proceedings: LNCS 8765 TI - Further Experiments in Opinionated Product Recommendation UR - http://dx.doi.org/10.1007/978-3-319-11209-1_9 ID - 1497 ER - TY - RPRT AB - Unit coal composition, certain atomic ratios and difference between calculated and determined heating values for Alabama bituminous and lignite coals and Rhode Island meta-anthracite; average heating value for 21 groups of coals as determined and as calculated by modified Dulong Formula of Mott and Spooner. AU - Shotts, R. Q. DA - 1957 KW - Coal analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - University of Alabama PY - 1957 RP -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
SP - 42-61 ST - Further studies of rank and composition of Alabama coals analyzed by U S Bureau of Mines since 1925 TI - Further studies of rank and composition of Alabama coals analyzed by U S Bureau of Mines since 1925 ID - 613 ER - TY - JOUR AB - Topic of this study is exploration and fusion of non-invasive measurements for an accurate detection of pathological larynx. Measurements for human subject encompass answers to items of a specific survey and information extracted by the openSMILE toolkit from several audio recordings of sustained phonation (vowel /a/). Clinical diagnosis, assigned by medical specialist, is a target attribute distinguishing subject as healthy or pathological. Random forest (RF) is used here as a base-learner and also as a meta-learner for decision-level fusion. 5 RF classifiers, built separately on 3 variants of audio recording data (raw and after two types of voice activity detection) and 2 variants of questionnaire (with 9 and 26 questions) data, are fused selectively by finding out the best combination of all possible. Before fusion, due to presence of missing values in query modalities, several imputation techniques were evaluated besides the complete-case analysis by listwise deletion. Out-of-bag equal error rate (EER) was found to be higher for audio data and lower for query, but each variant was outperformed by the decision-level fusion. Fusion after listwise deletion provided EER of 4.84%, meanwhile imputation was found to improve detection slightly and helped to achieve EER of 4.55%. Variable importance, as permutation-based mean decrease in RF accuracy, was reported for query and audio data. Finally, regarding the noteworthy performance of the query data, 22 association rules (11 healthy + 11 pathological) using 17 questions were obtained for comprehensible insights. [All rights reserved Elsevier]. AU - Vaiciukynas, E. AU - Verikas, A. AU - Gelzinis, A. AU - Bacauskiene, M. AU - Minelga, J. AU - Hallander, M. AU - Padervinskis, E. AU - Uloza, V. DA - 2015/12/01/ DO - 10.1016/j.eswa.2015.07.001 IS - 22 J2 - Expert Systems with Applications KW - data mining Health care learning (artificial intelligence) pattern classification random processes sensor fusion PY - 2015 SN - 0957-4174 SP - 8445-53 ST - Fusing voice and query data for non-invasive detection of laryngeal disorders T2 - Expert Systems with Applications TI - Fusing voice and query data for non-invasive detection of laryngeal disorders UR - http://dx.doi.org/10.1016/j.eswa.2015.07.001 VL - 42 ID - 954 ER - TY - JOUR AB - AIM: Explore key factors influencing future expectations for the production of evidence from comparative effectiveness research for drugs in the USA in 2020 and construct three plausible future scenarios. MATERIALS & METHODS: Semistructured key informant interviews and three rounds of modified Delphi with systematic scenario-building methods. RESULTS & CONCLUSION: Most influential key factors were: health delivery system integration; electronic health record development; exploitation of very large databases and mixed data sources; and proactive patient engagement in research. The scenario deemed most likely entailed uneven development of large integrated health systems with pockets of increased provider risk for patient care, enhanced data collection systems, changing incentives to do comparative effectiveness research and new opportunities for evidence generation partnerships. AU - Messner, Donna A. AU - Mohr, Penny AU - Towse, Adrian DA - 2015/08//undefined DO - 10.2217/cer.15.6 IS - 4 J2 - J Comp Eff Res KW - Comparative Effectiveness Research Comparative Effectiveness Research/*economics/*methods/trends database networks Databases, Factual data mining Delivery of Health Care Delphi Technique drug development Drug Discovery/*economics/*methods/trends electronic health records future scenarios healthcare costs healthcare integration healthcare reform Humans Interviews as Topic patient activism patient-centered outcomes research Patient Participation Prescription Drugs/*economics research partnerships risk-sharing United States LA - eng PY - 2015 SN - 2042-6313 2042-6305 SP - 385-400 ST - Futurescapes: evidence expectations in the USA for comparative effectiveness research for drugs in 2020 T2 - Journal of comparative effectiveness research TI - Futurescapes: evidence expectations in the USA for comparative effectiveness research for drugs in 2020 VL - 4 ID - 360 ER - TY - CONF AB - Classification is an important data mining task in biomedicine. For easy comprehensibility, rules are preferrable to another functions in the analysis of biomedical data. The aim of this work is to use a new fuzzy immune rule-based classification system for biomedical data. The performance of the proposed approach, in terms of classification accuracy and area under the ROC curve, was compared with traditional classifier schemes: C4.5, Naive Bayes, K*, and Meta END. 2009 IEEE. AU - Unold, Olgierd C3 - 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009, October 11, 2009 - October 14, 2009 DA - 2009 DO - 10.1109/ICSMC.2009.5346361 KW - Classification (of information) Cybernetics Data processing Fuzzy Logic Fuzzy systems Immunology Learning systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2009 SN - 1062922X SP - 4958-4963 ST - Fuzzy immune approach to biomedical data processing T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics TI - Fuzzy immune approach to biomedical data processing UR - http://dx.doi.org/10.1109/ICSMC.2009.5346361 ID - 905 ER - TY - CONF AB - Building accurate and reliable complex machines is not trivial (but necessary in most real life problems). Typical ensembles are often unsatisfactory. Meta-learning techniques can be much more powerful in composing optimal or close to optimal solutions to given tasks. Efficient meta-learning is possible only within a versatile and flexible data mining framework providing uniform procedures for dealing with different kinds of methods and tools for thorough analysis of learning processes and their results. We propose a methodology for information exchange between machines of different abstraction levels. Inter-machine communication is based on uniform representation of gained knowledge. Implemented in a general data mining framework, it provides tools for sophisticated analysis of adaptive processes of heterogeneous machines. The resulting meta-knowledge is a brilliant information source for further meta-learning. 2007 IEEE. AU - Jankowski, Norbert AU - Grabczewski, Krzysztof C3 - 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007, August 19, 2007 - August 22, 2007 DA - 2007 DO - 10.1109/ICMLC.2007.4370251 KW - data mining Knowledge acquisition Knowledge based systems Large scale systems Learning systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2007 SP - 795-802 ST - Gained knowledge exchange and analysis for meta-learning T3 - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007 TI - Gained knowledge exchange and analysis for meta-learning UR - http://dx.doi.org/10.1109/ICMLC.2007.4370251 VL - 2 ID - 1767 ER - TY - JOUR AB - While a,significant amount of analytical data on trace and minor element concentrations in sphalerite has been collected over the last six decades, no meta-analysis of this data has ever been conducted. In this study, the results of such an analysis are presented. While the study focusses on Ga, Ge and In, data for six other elements (Ag, Cd, Co, Cu, Fe and Mn) was also included. The results show that there are systematic, statistically significant differences in the mean concentrations of Fe, Ga, Ge, In and Mn in sphalerite from different deposit types, while Cd and Cu concentrations show no' such differences, and Ag and Co concentrations are only significantly different for vein-type deposits. A principal component analysis demonstrates that the differences between deposit types are approximately one-dimensional, being expressible in terms of a single number. This number correlates strongly with the homogenisation temperature of fluid inclusions (R-2 = 0.82, p < 2x10(-16)). It may be expressed as follows: AU - Frenzel, Max AU - Hirsch, Tamino AU - Gutzmer, Jens DA - 2016/07// DO - 10.1016/j.oregeorev.2015.12.017 L1 - internal-pdf://1762924393/Frenzel-2016-Gallium, germanium, indium, and o.pdf PY - 2016 SN - 0169-1368 SP - 52-78 ST - Gallium, germanium, indium, and other trace and minor elements in sphalerite as a function of deposit type - A meta-analysis T2 - Ore Geology Reviews TI - Gallium, germanium, indium, and other trace and minor elements in sphalerite as a function of deposit type - A meta-analysis UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0169136815302961/1-s2.0-S0169136815302961-main.pdf?_tid=7ff10d0e-8335-11e6-b913-00000aab0f01&acdnat=1474817828_7df8f107ee1bf5d5d90d53666dd76aa2 VL - 76 ID - 1925 ER - TY - JOUR AB - BACKGROUND AND OBJECTIVES: Aspirin is widely used for short-term treatment of pain, fever or colds, but there are only limited data regarding the safety of this use. To summarize the available data on this topic, we conducted a meta-analysis of the published clinical trial literature regarding the gastrointestinal adverse effects of short-term use of aspirin in comparison with placebo and other medications commonly used for the same purpose. DATA SOURCES AND METHODS: An extensive literature search identified 119,310 articles regarding possible adverse effects of aspirin, among which 23,131 appeared to possibly include relevant data. An automated text-mining procedure was used to score the references for potential relevance for the meta-analysis. The 3,983 highest-scoring articles were reviewed individually to identify those with data that could be included in this analysis. Ultimately, 78 relevant articles were identified that contained gastrointestinal adverse event data from clinical trials of aspirin versus placebo or an active comparator. Odds ratios (ORs) computed using a Mantel-Haenszel estimator were used to summarize the comparative effects on dyspepsia, nausea/vomiting, and abdominal pain, considered separately and also aggregated as 'minor gastrointestinal events'. Gastrointestinal bleeds, ulcers, and perforations were also investigated. RESULTS: Data were obtained regarding 19,829 subjects (34 % treated with aspirin, 17 % placebo, and 49 % an active comparator). About half of the aspirin subjects took a single dose. Aspirin was associated with a higher risk of minor gastrointestinal events than placebo or active comparators: the summary ORs were 1.46 (95 % confidence interval [CI] 1.15-1.86) and 1.81 (95 % CI 1.61-2.04), respectively. Ulcers, perforation, and serious bleeding were not seen after use of aspirin or any of the other interventions. CONCLUSIONS: During short-term use, aspirin is associated with a higher frequency of gastrointestinal complaints than other medications commonly used for treatment of pain, colds, and fever. Serious adverse events were not observed with aspirin or any of the comparators. AU - Baron, John A. AU - Senn, Stephen AU - Voelker, Michael AU - Lanas, Angel AU - Laurora, Irene AU - Thielemann, Wolfgang AU - Bruckner, Andreas AU - McCarthy, Denis DA - 2013/03//undefined DO - 10.1007/s40268-013-0011-y IS - 1 J2 - Drugs R D KW - *Randomized Controlled Trials as Topic/methods Abdominal Pain/chemically induced/diagnosis/epidemiology Aspirin/*administration & dosage/*adverse effects Gastrointestinal Diseases/*chemically induced/*diagnosis/epidemiology Humans Time Factors Treatment Outcome L1 - internal-pdf://3244173420/Baron-2013-Gastrointestinal adverse effects of.pdf LA - eng PY - 2013 SN - 1179-6901 1174-5886 SP - 9-16 ST - Gastrointestinal adverse effects of short-term aspirin use: a meta-analysis of published randomized controlled trials T2 - Drugs in R&D TI - Gastrointestinal adverse effects of short-term aspirin use: a meta-analysis of published randomized controlled trials UR - https://www-ncbi-nlm-nih-gov.ezproxy.lib.vt.edu/pmc/articles/PMC3627011/pdf/40268_2013_Article_11.pdf VL - 13 ID - 27 ER - TY - BOOK A3 - Graham, P. A2 - Maheswaran, M. A2 - Eskicioglu, R. AB - Information Harvest WArehouse (IHWA) is a web-based information search system. It is designed using the Component Based Software Engineering (CBSE) paradigm, where applications are to be developed by integrating various software components In this paper, ive describe the development of the meta-information gathering set-vice of IHWA (Meta Gatherer), which collects and extracts information from send-structured or unstructured data sources. Focus is on the development of the information extraction service of Me gatherer from semi-stuctured (DTD-unknown XML data) Internet information sources. The information extraction module implemented provides clean Java program interfaces, so that it can be easily integrated with other applications. Its implementation is an efficient one as well, since it analyzes a source XML file in one path, where most other systems use two paths approach. AU - Jeong, J. S. AU - Oh, D. I. DA - 2001 PY - 2001 SN - 1-892512-84-X ST - Gathering services of IHWA from semi-structured web information sources TI - Gathering services of IHWA from semi-structured web information sources ID - 2227 ER - TY - JOUR AB - CATdb (http://urgv.evry.inra.fr/CATdb) is a database providing a public access to a large collection of transcriptomic data, mainly for Arabidopsis but also for other plants. This resource has the rare advantage to contain several thousands of microarray experiments obtained with the same technical protocol and analyzed by the same statistical pipelines. In this paper, we present GEM2Net, a new module of CATdb that takes advantage of this homogeneous dataset to mine co-expression units and decipher Arabidopsis gene functions. GEM2Net explores 387 stress conditions organized into 18 biotic and abiotic stress categories. For each one, a model-based clustering is applied on expression differences to identify clusters of co-expressed genes. To characterize functions associated with these clusters, various resources are analyzed and integrated: Gene Ontology, subcellular localization of proteins, Hormone Families, Transcription Factor Families and a refined stress-related gene list associated to publications. Exploiting protein-protein interactions and transcription factors-targets interactions enables to display gene networks. GEM2Net presents the analysis of the 18 stress categories, in which 17 264 genes are involved and organized within 681 co-expression clusters. The meta-data analyses were stored and organized to compose a dynamic Web resource. AU - Zaag, Rim AU - Tamby, Jean Philippe AU - Guichard, Cecile AU - Tariq, Zakia AU - Rigaill, Guillem AU - Delannoy, Etienne AU - Renou, Jean-Pierre AU - Balzergue, Sandrine AU - Mary-Huard, Tristan AU - Aubourg, Sebastien AU - Martin-Magniette, Marie-Laure AU - Brunaud, Veronique DA - 2015/01/28/ DO - 10.1093/nar/gku1155 IS - D1 PY - 2015 SN - 0305-1048 SP - D1010-D1017 ST - GEM2Net: from gene expression modeling to -omics networks, a new CATdb module to investigate Arabidopsis thaliana genes involved in stress response T2 - Nucleic Acids Research TI - GEM2Net: from gene expression modeling to -omics networks, a new CATdb module to investigate Arabidopsis thaliana genes involved in stress response VL - 43 ID - 2186 ER - TY - CONF AB - Road accident analysis is very challenging task and investigating the dependencies between the attributes become complex because of many environmental and road related factors. In this research work we applied data mining classification techniques to carry out gender based classification of which RndTree and C4.5 using AdaBoost Meta classifier gives high accurate results. The training dataset used for the research work is obtained from Fatality Analysis Reporting System (FARS) which is provided by the University of Alabama's Critical Analysis Reporting Environment (CARE) system. The results reveal that AdaBoost used with RndTree improvised the classifier's accuracy. 2012 Pillay Engineering College. AU - Shanthi, S. AU - Ramani, R. Geetha C3 - 1st International Conference on Advances in Engineering, Science and Management, ICAESM-2012, March 30, 2012 - March 31, 2012 DA - 2012 KW - Adaptive boosting data mining Data processing Engineering research Highway accidents N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 359-365 ST - Gender specific classification of road accident patterns through data mining techniques T3 - IEEE-International Conference on Advances in Engineering, Science and Management, ICAESM-2012 TI - Gender specific classification of road accident patterns through data mining techniques ID - 1714 ER - TY - JOUR AB - The recent development of microarray technology provided unprecedented opportunities to understand the genetic basis of aging. So far, many microarray studies have addressed aging-related expression patterns in multiple organisms and under different conditions. The number of relevant studies continues to increase rapidly. However, efficient exploitation of these vast data is frustrated by the lack of an integrated data mining platform or other unifying bioinformatic resource to enable convenient cross-laboratory searches of array signals. To facilitate the integrative analysis of microarray data on aging, we developed a web database and analysis platform 'Gene Aging Nexus' (GAN) that is freely accessible to the research community to query/analyze/visualize cross-platform and cross-species microarray data on aging. By providing the possibility of integrative microarray analysis, GAN should be useful in building the systems-biology understanding of aging. AU - Pan, Fei AU - Chiu, Chi-Hsien AU - Pulapura, Sudip AU - Mehan, Michael R. AU - Nunez-Iglesias, Juan AU - Zhang, Kangyu AU - Kamath, Kiran AU - Waterman, Michael S. AU - Finch, Caleb E. AU - Zhou, Xianghong Jasmine DA - 2007/01// DO - 10.1093/nar/gkl798 PY - 2007 SN - 0305-1048 SP - D756-D759 ST - Gene Aging Nexus: a web database and data mining platform for microarray data on aging T2 - Nucleic Acids Research TI - Gene Aging Nexus: a web database and data mining platform for microarray data on aging VL - 35 ID - 2041 ER - TY - CONF AB - A special type of parallel computing that relies on complete computers connected to a network and It allows flexible resource sharing among geographically distributed computing resources in multiple administrative domains is called Grid Computing. Controlled shell and controlled desktop mechanisms are used to restrict the user to execute only authorized commands and applications. Distributed grids can be formed from computing resources belonging to multiple individuals. Grid middleware is installed and integrated into the existing infrastructure of the involved technologies. Major Grid middleware's are Globus Toolkit, gLite, and UNICORE. In this Grid we are using a new platform called GRISSOM, it means GRids for In Silico Systems biOlogy Medicine. GRISSOM aims to set a generic paradigm of efficient meta-mining that promotes translational research in Biomedicine, through the fusion of Grid and Semantic Web computing technologies. Our paper deals with handling huge volume of biological data which is heterogeneous, autonomous and dynamic in nature. The aim of our paper is to analysis the gene-DNA microarray in a decentralized fashion. This will avoids manual errors in medical fields and provides user friendly platform for users. 2012 IEEE. AU - Aghila, R. AU - Nagalakshmi, K. C3 - 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies, ICACCCT 2012, August 23, 2012 - August 25, 2012 DA - 2012 DO - 10.1109/ICACCCT.2012.6320814 KW - Communication Genes Grid computing Medical applications middleware Parallel architectures Technology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 420-423 ST - Gene analysis using grid computing T3 - Proceedings of 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies, ICACCCT 2012 TI - Gene analysis using grid computing UR - http://dx.doi.org/10.1109/ICACCCT.2012.6320814 ID - 984 ER - TY - JOUR AB - Two nonsense mutants of age-1, the Caenorhabditis elegans gene encoding phosphoinositide 3-kinase, live nearly 10-fold longer than wild-type controls and are exceptionally resistant to several stresses. Genome-wide expression analyses implicated downregulation of many more genes than were upregulated in second-generation age-1 homozygotes. Functional-annotation analysis, based on Gene Ontology terms, suggested that novel mechanisms may mediate the stronger phenotypes observed for these worms than with milder age-1 disruption. For the current study, the same microarray data were reanalyzed using novel meta-analytic procedures that we developed recently. First, gene p values were corrected for systematic biases based on the observed distribution for nonexpressed genes; these values were then combined to derive an aggregate p value for each functional-annotation term while adjusting for intergene covariance. This resulted in much better coverage of relevant gene categories, including many that were independently supported by other data. The number of nonredundant GO categories significantly distinguishing age-1 alleles of exceptional longevity increased from sevenfold to greater than ninefold, improving both sensitivity and specificity of selection for altered pathways and implicating previously unsuspected longevity mechanisms. Of 150 genes whose differential expression underlay significant GO terms in both comparisons, over half were up- or down-regulated in accord with longevity, whereas one third showed altered expression uniquely in the longest-lived age-1-null strains, consistent with the activation or suppression of pathways peculiar to strong age-1 mutants. AU - Shmookler Reis, Robert J. AU - Ayyadevara, Srinivas AU - Crow, W. Alex AU - Lee, Taewon AU - Delongchamp, Robert R. DA - 2012/04//undefined DO - 10.1093/gerona/glr186 IS - 4 J2 - J Gerontol A Biol Sci Med Sci KW - *Codon, Nonsense Animals Caenorhabditis elegans/*genetics Caenorhabditis elegans Proteins/*genetics Data Mining/*methods Down-Regulation/genetics Gene Expression Profiling Longevity/*genetics Phosphatidylinositol 3-Kinases/*genetics Stress, Physiological/genetics Up-Regulation/genetics LA - eng PY - 2012 SN - 1758-535X 1079-5006 SP - 366-375 ST - Gene categories differentially expressed in C. elegans age-1 mutants of extraordinary longevity: new insights from novel data-mining procedures T2 - The journals of gerontology. Series A, Biological sciences and medical sciences TI - Gene categories differentially expressed in C. elegans age-1 mutants of extraordinary longevity: new insights from novel data-mining procedures VL - 67 ID - 210 ER - TY - JOUR AB - OBJECTIVE: An analysis of the genes involved in both osteoporosis and modifications of the jawbone, through text mining, using a web search tool, of information regarding gene/protein interaction. DESIGN: The final set of genes involved in the present phenomenon was obtained by expansion-filtering loop. Using a web-available software (STRING), interactions among all genes were searched for, and a clustering procedure was performed in which only high-confidence predicted associations were considered. RESULTS: Two hundred forty-two genes potentially involved in osteoporosis and in modifications of the jawbone were recorded. Seven "leader genes" were identified (CTNNB1, IL1B, IL6, JUN, RUNX2, SPP1, TGFB1), while another 10 genes formed the cluster B group (BMP2, BMP7, COL1A1, ICAM1, IGF1, IL10, MMP9, NFKB1, TNFSF11, VEGFA). Ninety-eight genes had no interactions, and were defined as "orphan genes". CONCLUSIONS: The expansion of knowledge regarding the molecular basis causing osteoporotic traits has been brought about with the help of a de novo identification, based on the data mining of genes involved in osteoporosis and in modification of the jawbone. A comparison of the present data, in which no role was verified for 98 genes that had been previously supposed to have a role, with that of the literature, in which another 81 genes, as obtained from GWAS reviews and meta-analyses, appeared to be strongly associated with osteoporosis, probably attests to a lack of information on osteoporotic disease. AU - Toti, Paolo AU - Sbordone, Carolina AU - Martuscelli, Ranieri AU - Califano, Luigi AU - Ramaglia, Luca AU - Sbordone, Ludovico DA - 2013/08//undefined DO - 10.1016/j.archoralbio.2013.02.013 IS - 8 J2 - Arch Oral Biol KW - beta Catenin/genetics Bone Morphogenetic Protein 2/genetics Bone Morphogenetic Protein 7/genetics Bone Regeneration/genetics Bone Remodeling/genetics Bone Resorption/genetics Collagen Type I/genetics Computational Biology Core Binding Factor Alpha 1 Subunit/genetics data mining Genes, jun/genetics Humans Insulin-Like Growth Factor I/genetics Intercellular Adhesion Molecule-1/genetics Interleukin-1beta/genetics Interleukin-6/genetics Interleukin-10/genetics Jaw Diseases/*genetics Matrix Metalloproteinase 9/genetics Multigene Family/*genetics NF-kappa B p50 Subunit/genetics Osteopontin/genetics Osteoporosis/*genetics RANK Ligand/genetics Transforming Growth Factor beta1/genetics Vascular Endothelial Growth Factor A/genetics LA - eng PY - 2013 SN - 1879-1506 0003-9969 SP - 912-929 ST - Gene clustering analysis in human osteoporosis disease and modifications of the jawbone T2 - Archives of oral biology TI - Gene clustering analysis in human osteoporosis disease and modifications of the jawbone VL - 58 ID - 160 ER - TY - CONF AB - In recent years DNA microarray technology has become a widely used tool for gene expression profile analysis. This technology can be useful for the early diagnosis of complex diseases such as bipolar disorder, providing useful information for its genetic background. The ability to classify bipolar disorders may have a major impact on our understanding of disease pathophysiology, as well as it may be essential for guiding the appropriate treatment strategy and determining prognosis for successful targeted therapy. In this preliminary meta-data-study, we propose an analytic framework for biomarker identification aiming at prediction of bipolar disorder, by considering peripheral gene expression differences between bipolar patients and healthy controls. The aim of this paper is to extract a significant genomic signature for which biological knowledge may already exists and discover novel genomic information that can motivate further analysis. We study two classification algorithms based on support and relevance vector machines. The observed results indicate that the latter approach performs better in the specific biological environment. Springer International Publishing Switzerland 2016. AU - Leska, V. AU - Bei, E. S. AU - Petrakis, E. AU - Zervakis, Michalis C3 - 14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016, March 31, 2016 - April 2, 2016 DA - 2016 DO - 10.1007/978-3-319-32703-7_96 KW - Bioassay Biochemical engineering data mining Diagnosis Disease control gene expression Genes medical computing Microarrays N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2016 SN - 16800737 SP - 494-500 ST - Gene expression data analysis for classification of bipolar disorders T3 - IFMBE Proceedings TI - Gene expression data analysis for classification of bipolar disorders UR - http://dx.doi.org/10.1007/978-3-319-32703-7_96 VL - 57 ID - 1349 ER - TY - JOUR AB - BACKGROUND: Pathway discovery from gene expression data can provide important insight into the relationship between signaling networks and cancer biology. Oncogenic signaling pathways are commonly inferred by comparison with signatures derived from cell lines. We use the Molecular Apocrine subtype of breast cancer to demonstrate our ability to infer pathways directly from patients' gene expression data with pattern analysis algorithms. METHODS: We combine data from two studies that propose the existence of the Molecular Apocrine phenotype. We use quantile normalization and XPN to minimize institutional bias in the data. We use hierarchical clustering, principal components analysis, and comparison of gene signatures derived from Significance Analysis of Microarrays to establish the existence of the Molecular Apocrine subtype and the equivalence of its molecular phenotype across both institutions. Statistical significance was computed using the Fasano & Franceschini test for separation of principal components and the hypergeometric probability formula for significance of overlap in gene signatures. We perform pathway analysis using LeFEminer and Backward Chaining Rule Induction to identify a signaling network that differentiates the subset. We identify a larger cohort of samples in the public domain, and use Gene Shaving and Robust Bayesian Network Analysis to detect pathways that interact with the defining signal. RESULTS: We demonstrate that the two separately introduced ER- breast cancer subsets represent the same tumor type, called Molecular Apocrine breast cancer. LeFEminer and Backward Chaining Rule Induction support a role for AR signaling as a pathway that differentiates this subset from others. Gene Shaving and Robust Bayesian Network Analysis detect interactions between the AR pathway, EGFR trafficking signals, and ErbB2. CONCLUSION: We propose criteria for meta-analysis that are able to demonstrate statistical significance in establishing molecular equivalence of subsets across institutions. Data mining strategies used here provide an alternative method to comparison with cell lines for discovering seminal pathways and interactions between signaling networks. Analysis of Molecular Apocrine breast cancer implies that therapies targeting AR might be hampered if interactions with ErbB family members are not addressed. AU - Sanga, Sandeep AU - Broom, Bradley M. AU - Cristini, Vittorio AU - Edgerton, Mary E. DA - 2009 DO - 10.1186/1755-8794-2-59 J2 - BMC Med Genomics LA - eng PY - 2009 SN - 1755-8794 1755-8794 SP - 59 ST - Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB family T2 - BMC medical genomics TI - Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB family VL - 2 ID - 201 ER - TY - JOUR AB - Background: The goal of text mining is to make the information conveyed in scientific publications accessible to structured search and automatic analysis. Two important subtasks of text mining are entity mention normalization-to identify biomedical objects in text-and extraction of qualified relationships between those objects. Results: We present solutions to gene mention normalization and extraction of protein-protein interactions. For the first task, we identify genes by using background knowledge on each gene, namely annotations related to function, location, disease, and so on. Our approach currently achieves an f-measure of 86.4% on the BioCreative II gene normalization data. For the extraction of protein-protein interactions, we pursue an approach that builds on classical sequence analysis: motifs derived from multiple sequence alignments. The method achieves an f-measure of 24.4%(micro-average) in the BioCreative II interaction pair subtask. Conclusion: For gene mention normalization, our approach outperforms strategies that utilize only the matching of genes names against dictionaries, without invoking further knowledge on each gene. Motifs derived from alignments of sentences are successful at identifying protein interactions in text; the approach we present in this report is fully automated and performs similarly to systems that require human intervention at one or more stages. Availability: Our methods for gene, protein, and species identification, and extraction of protein-protein interactions are available as part of the BioCreative Meta Services (BCMS), see http://bcms.bioinfo.cnio.es/. AU - Hakenberg, Joerg AU - Plake, Conrad AU - Royer, Loic AU - Strobelt, Hendrik AU - Leser, Ulf AU - Schroeder, Michael DA - 2008 DO - 10.1186/gb-2008-9-S2-S14 L1 - internal-pdf://1549495354/Hakenberg-2008-Gene mention normalization and.pdf PY - 2008 SN - 1474-760X SP - S14 ST - Gene mention normalization and interaction extraction with context models and sentence motifs T2 - Genome Biology TI - Gene mention normalization and interaction extraction with context models and sentence motifs UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559985/pdf/gb-2008-9-s2-s14.pdf VL - 9 ID - 2255 ER - TY - JOUR AB - Even though vast amounts of genome-wide gene expression data have become available in plants, it remains a challenge to effectively mine this information for the discovery of genes and gene networks, for instance those that control agronomically important traits. These networks reflect potential interactions among genes and, therefore, can lead to a systematic understanding of the molecular mechanisms underlying targeted biological processes. We discuss methods to analyze gene networks using gene expression data, specifically focusing on four common statistical approaches used to reconstruct networks: correlation, feature selection in supervised learning, probabilistic graphical model, and meta-prediction. In addition, we discuss the effective use of these methods for acquiring an in-depth understanding of biological systems in plants. AU - Li, Yupeng AU - Pearl, Stephanie A. AU - Jackson, Scott A. DA - 2015/10// DO - 10.1016/j.tplants.2015.06.013 IS - 10 L1 - internal-pdf://1626870461/Li-2015-Gene Networks in Plant Biology_ Approa.pdf PY - 2015 SN - 1360-1385 SP - 664-675 ST - Gene Networks in Plant Biology: Approaches in Reconstruction and Analysis T2 - Trends in Plant Science TI - Gene Networks in Plant Biology: Approaches in Reconstruction and Analysis UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1360138515001776/1-s2.0-S1360138515001776-main.pdf?_tid=855f1e28-8341-11e6-ad1c-00000aacb35d&acdnat=1474822991_3229454afa039d712e42d72f26e3567c VL - 20 ID - 2215 ER - TY - JOUR AB - OBJECTIVE: Schizophrenia is a chronic psychiatric disorder that affects about 1% of the population globally. A tremendous amount of effort has been expended in the past decade, including more than 2400 association studies, to identify genes influencing susceptibility to the disorder. However, few genes or markers have been reliably replicated. The wealth of this information calls for an integration of gene association data, evidence-based gene ranking, and follow-up replication in large sample. The objective of this study is to develop and evaluate evidence-based gene ranking methods and to examine the features of top-ranking candidate genes for schizophrenia. METHODS: We proposed a gene-based approach for selecting and prioritizing candidate genes by combining odds ratios (ORs) of multiple markers in each association study and then combining ORs in multiple studies of a gene. We named it combination-combination OR method (CCOR). CCOR is similar to our recently published method, which first selects the largest OR of the markers in each study and then combines these ORs in multiple studies (i.e., selection-combination OR method, SCOR), but differs in selecting representative OR in each study. Features of top-ranking genes were examined by Gene Ontology terms and gene expression in tissues. RESULTS: Our evaluation suggested that the SCOR method overall outperforms the CCOR method. Using the SCOR, a list of 75 top-ranking genes was selected for schizophrenia candidate genes (SZGenes). We found that SZGenes had strong correlation with neuro-related functional terms and were highly expressed in brain-related tissues. CONCLUSION: The scientific landscape for schizophrenia genetics and other complex disease studies is expected to change dramatically in the next a few years, thus, the gene-based combined OR method is useful in candidate gene selection for follow-up association studies and in further artificial intelligence in medicine. This method for prioritization of candidate genes can be applied to other complex diseases such as depression, anxiety, nicotine dependence, alcohol dependence, and cardiovascular diseases. AU - Sun, Jingchun AU - Han, Leng AU - Zhao, Zhongming DA - 2010/03//Feb- undefined DO - 10.1016/j.artmed.2009.07.009 IS - 2-3 J2 - Artif Intell Med KW - *Artificial Intelligence *Evidence-Based Medicine *Genetic Association Studies *Genetic Markers *Systems Biology *Systems Integration Databases, Genetic data mining Gene Expression Profiling/*methods Genetic Predisposition to Disease Humans Odds Ratio Reproducibility of results Risk Assessment Risk Factors Schizophrenia/*genetics LA - eng PY - 2010 SN - 1873-2860 0933-3657 SP - 99-106 ST - Gene- and evidence-based candidate gene selection for schizophrenia and gene feature analysis T2 - Artificial intelligence in medicine TI - Gene- and evidence-based candidate gene selection for schizophrenia and gene feature analysis VL - 48 ID - 263 ER - TY - JOUR AB - To identify novel genetic variants associated with complex traits and to shed new insights on underlying biology, in addition to the most popular single SNP-single trait association analysis, it would be useful to explore multiple correlated (intermediate) traits at the gene- or pathway-level by mining existing single GWAS or meta-analyzed GWAS data. For this purpose, we present an adaptive gene-based test and a pathway-based test for association analysis of multiple traits with GWAS summary statistics. The proposed tests are adaptive at both the AU - Kwak, Il-Youp AU - Pan, Wei DA - 2016/09/04/ DO - 10.1093/bioinformatics/btw577 J2 - Bioinformatics L1 - internal-pdf://0310273413/Kwak-2016-Gene- and pathway-based association.pdf LA - Eng PY - 2016 SN - 1367-4811 1367-4803 ST - Gene- and pathway-based association tests for multiple traits with GWAS summary statistics T2 - Bioinformatics (Oxford, England) TI - Gene- and pathway-based association tests for multiple traits with GWAS summary statistics UR - http://bioinformatics.oxfordjournals.org.ezproxy.lib.vt.edu/content/early/2016/09/02/bioinformatics.btw577.full.pdf ID - 187 ER - TY - CONF AB - Decision trees are among the most popular pattern types in data mining due to their intuitive representation. However, little attention has been given on the definition of measures of semantic similarity between decision trees. In this work, we present a general framework for similarity estimation that includes as special cases the estimation of semantic similarity between decision trees, as well as various forms of similarity estimation on classification datasets with respect to different probability distributions defined over the attribute-class space of the datasets. The similarity estimation is based on the partitions induced by the decision trees on the attribute space of the datasets. We use the proposed framework in order to estimate the semantic similarity of decision trees induced from different subsamples of classification datasets; we evaluate its performance with respect to the empirical semantic similarity, which we estimate on the basis of independent hold-out test sets. The availability of similarity measures on decision trees opens a wide range of possibilities for meta-analysis and meta-mining of the data mining results. Copyright by SIAM. AU - Ntoutsi, Irene AU - Kalousis, Alexandros AU - Theodoridis, Yannis C3 - 8th SIAM International Conference on Data Mining 2008, Applied Mathematics 130, April 24, 2008 - April 26, 2008 DA - 2008 KW - Administrative data processing Classification (of information) data mining decision making Decision support systems Decision theory decision trees Estimation Information Management Information theory Knowledge management Mathematical techniques mining Probability distributions Risk Assessment Search Engines Semantics Trees (mathematics) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Society for Industrial and Applied Mathematics Publications PY - 2008 SP - 810-821 ST - A general framework for estimating similarity of datasets and decision trees: Exploring semantic similarity of decision trees T3 - Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130 TI - A general framework for estimating similarity of datasets and decision trees: Exploring semantic similarity of decision trees VL - 2 ID - 1765 ER - TY - CONF AB - Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an information-theoretic co-clustering approach applicable to empirical joint probability distributions was proposed. In many situations, co-clustering of more general matrices is desired. In this paper, we present a substantially generalized co-clustering framework wherein any Bregman divergence can be used in the objective function, and various conditional expectation based constraints can be considered based on the statistics that need to be preserved. Analysis of the co-clustering problem leads to the minimum Bregman information principle, which generalizes the maximum entropy principle, and yields an elegant meta algorithm that is guaranteed to achieve local optimality. Our methodology yields new algorithms and also encompasses several previously known clustering and co-clustering algorithms based on alternate minimization. AU - Banerjee, Arindam AU - Dhillon, Inderjit AU - Ghosh, Joydeep AU - Merugu, Srujana AU - Modha, Dharmendra S. C3 - KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 22, 2004 - August 25, 2004 DA - 2004 KW - Algorithms Approximation theory artificial intelligence data mining Error analysis Information analysis Probability distributions Problem solving random processes N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2004 SP - 509-514 ST - A generalized maximum entropy approach to Bregman co-clustering and matrix approximation T3 - KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - A generalized maximum entropy approach to Bregman co-clustering and matrix approximation ID - 1025 ER - TY - CONF AB - In this paper we discuss text data mining (TDM) mainly in the context of the biomedical domain, where we extract associations from MEDLINE text articles and construct association graphs. We explore two techniques, the co-occurrence method and transitive method. We propose a novel transitive method of finding associations that does not rely on meta-data, and compare the results with another known transitive method that uses meta-data in text, to find a link/relationship between objects of interest. Co-occurrence of these terms (objects) is not required in the transitive methods to find out that they are associated. The results show that our proposed new method is as accurate as the known method that uses meta-data. This, in turn, implies that relationships can be discovered even when meta-data is not available or incomplete. A case study of a transitive association between a pair of genes (BRCA1-STAT1) is also carried out to illustrate the effective hypothesis generating ability of our method. Based on the results, we conclude that our method can be used effectively for association extraction and also for hypothesis generation, which can later be validated through biological experimental analysis. Copyright 2005 ACM. AU - Jayadevaprakash, Niranjan AU - Mukhopadhyay, Snehasis AU - Palakal, Mathew C3 - 20th Annual ACM Symposium on Applied Computing, March 13, 2005 - March 17, 2005 DA - 2005 DO - 10.1145/1066677.1066713 KW - data mining Graph theory Knowledge based systems Metadata N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2005 SP - 141-145 ST - Generating association graphs of non-co-occurring text using transitive methods T3 - Proceedings of the ACM Symposium on Applied Computing TI - Generating association graphs of non-co-occurring text using transitive methods UR - http://dx.doi.org/10.1145/1066677.1066713 http://dl.acm.org/citation.cfm?doid=1066677.1066713 VL - 1 ID - 1004 ER - TY - CONF AB - Much of the information associated with legal, financial, medical and educational domains is stored in electronic document repositories and retrievable only by full text search. The ability of publishers to enhance such documents through traditional editorial processes struggles to keep pace with the volume and variety of textual data currently available in proprietary collections and on the Web. Fortunately, text mining tools that support the automatic classification, summarization, and linking of documents can be developed and deployed cost effectively. The outcome is a more flexible and dynamic approach to meta-data generation that does a better job of supporting the searching and browsing behaviors of information consumers. This paper describes the application of text and data mining techniques to legal information in a manner that enables powerful report generation and document recommendation services. AU - Jackson, P. C3 - Computational Science-ICCS 2007. 7th International Conference. Proceedings, Part III, 27-30 May 2007 DA - 2007 KW - data mining information filters information retrieval Internet meta data text analysis text editing PB - Springer PY - 2007 SP - 746-53 ST - Generating value from textual discovery T3 - Computational Science-ICCS 2007. 7th International Conference. Proceedings, Part III (Lecture Notes in Computer Science Vol.4489) TI - Generating value from textual discovery ID - 1451 ER - TY - CONF AB - Software engineering meta-data (SE data), such as revision control data, Github project data or test reports, is typically semi-structured, it comprises a mixture of formatted and free-text fields and is often self-describing. Semi-structured SE data cannot be queried in a SQL-like manner because of its lack of structure. Consequently, there are a variety of customized tools built to analyze specific datasets but these do not generalize. We propose to develop a generic framework for exploration and querying of semi-structured SE data. Our approach investigates the use of a formal concept lattice as a universal data structure and a tag cloud as an intuitive interface to support data exploration. 2015 IEEE. AU - Greene, Gillian J. C3 - 30th IEEE/ACM International Conference on Automated Software Engineering, ASE 2015, November 9, 2015 - November 13, 2015 DA - 2015 DO - 10.1109/ASE.2015.34 KW - data mining Formal concept analysis Information analysis Metadata software engineering Software testing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 894-897 ST - A generic framework for concept-based exploration of semi-structured software engineering data T3 - Proceedings - 2015 30th IEEE/ACM International Conference on Automated Software Engineering, ASE 2015 TI - A generic framework for concept-based exploration of semi-structured software engineering data UR - http://dx.doi.org/10.1109/ASE.2015.34 ID - 1071 ER - TY - CONF AB - This paper addresses the problem of automatic recognition of electronic scientific papers in virtual libraries by retro-conversion techniques. The focus is on meta-information extraction, semantic content analysis, and bibliographic references recognition. Because of the heterogeneity of scientific paper structure and content, we propose a generic model which is formally described by a context-free grammar. A method based on part-of-speech (PoS) tagging is then used which acts in a bottom-up way gathering essential fields for a scientific paper. Depending on each bibliographic reference typology, contextual corrections are operated to refine the analysis. Finally, we use the generic grammar to validate the conformity of these references to the standard ISO-690. The experiment performed on heterogeneous scientific papers with heterogeneous references confirms the interest of this approach. AU - Fellah, M. AU - Habacha, A. AU - Ben Ahmed, M. C3 - 2008 International Conference on Image Processing, Computer Vision & Pattern Recognition. IPCV 2008, 14-17 July 2008 DA - 2008 KW - bibliographic systems Content Management context-free grammars ISO standards Libraries PB - CSREA Press PY - 2008 SP - 234-9 ST - A generic segmentation method for scientific papers in virtual libraries T3 - Proceedings of the 2008 International Conference on Image Processing, Computer Vision Pattern Recognition. IPCV 2008 TI - A generic segmentation method for scientific papers in virtual libraries VL - vol.1 ID - 809 ER - TY - CONF AB - Nowadays, variable selection is fundamental to large dimensional statistical modelling problems, since large databases exist in diverse fields of science. In this paper, we benefit from the use of data mining tools and experimental designs in databases in order to select the most relevant variables for classification in regression problems in cases where observations and labels of a real-world dataset are available. Specifically, this study is of particular interest to use health data to identify the most significant variables containing all the necessary important information for classification and prediction of new data with respect to a certain effect (survival or death). The main goal is to determine the most important variables using methods that arise from the field of design of experiments combined with algorithmic concepts derived from data mining and metaheuristics. Our approach seems promising, since we are able to retrieve an optimal plan using only $6$ runs of the available $8862$ runs. 2013 IEEE. AU - Koukouvinos, Christos AU - Parpoula, Christina AU - Simos, Dimitris E. C3 - 2013 8th International Conference on Availability, Reliability and Security, ARES 2013, September 2, 2013 - September 6, 2013 DA - 2013 DO - 10.1109/ARES.2013.98 KW - Classification (of information) Database systems data mining Design of experiments feature extraction Heuristic algorithms Sensitivity analysis Support Vector Machines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2013 SP - 743-746 ST - Genetic algorithm and data mining techniques for design selection in databases T3 - Proceedings - 2013 International Conference on Availability, Reliability and Security, ARES 2013 TI - Genetic algorithm and data mining techniques for design selection in databases UR - http://dx.doi.org/10.1109/ARES.2013.98 ID - 1745 ER - TY - JOUR AB - The discovery of vitamins and clarification of their role in preventing frank essential nutrient deficiencies occurred in the early 1900s. Much vitamin research has understandably focused on public health and the effects of single nutrients to alleviate acute conditions. The physiological processes for maintaining health, however, are complex systems that depend upon interactions between multiple nutrients, environmental factors, and genetic makeup. To analyze the relationship between these factors and nutritional health, data were obtained from an observational, community-based participatory research program of children and teens (age 6-14) enrolled in a summer day camp in the Delta region of Arkansas. Assessments of erythrocyte S-adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH), plasma homocysteine (Hcy) and 6 organic micronutrients (retinol, 25-hydroxy vitamin D3, pyridoxal, thiamin, riboflavin, and vitamin E), and 1,129 plasma proteins were performed at 3 time points in each of 2 years. Genetic makeup was analyzed with 1 M SNP genotyping arrays, and nutrient status was assessed with 24-h dietary intake questionnaires. A pattern of metabolites (met_PC1) that included the ratio of erythrocyte SAM/SAH, Hcy, and 5 vitamins were identified by principal component analysis. Met_C1 levels were significantly associated with (1) single-nucleotide polymorphisms, (2) levels of plasma proteins, and (3) multilocus genotypes coding for gastrointestinal and immune functions, as identified in a global network of metabolic/protein-protein interactions. Subsequent mining of data from curated pathway, network, and genome-wide association studies identified genetic and functional relationships that may be explained by gene-nutrient interactions. The systems nutrition strategy described here has thus associated a multivariate metabolite pattern in blood with genes involved in immune and gastrointestinal functions. AU - Morine, Melissa J. AU - Monteiro, Jacqueline Pontes AU - Wise, Carolyn AU - Teitel, Candee AU - Pence, Lisa AU - Williams, Anna AU - Ning, Baitang AU - McCabe-Sellers, Beverly AU - Champagne, Catherine AU - Turner, Jerome AU - Shelby, Beatrice AU - Bogle, Margaret AU - Beger, Richard D. AU - Priami, Corrado AU - Kaput, Jim DA - 2014/07// DO - 10.1007/s12263-014-0408-4 IS - 4 PY - 2014 SN - 1555-8932 SP - 408 ST - Genetic associations with micronutrient levels identified in immune and gastrointestinal networks T2 - Genes and Nutrition TI - Genetic associations with micronutrient levels identified in immune and gastrointestinal networks VL - 9 ID - 2298 ER - TY - JOUR AB - The only metric that had existed so far to determine the best algorithm for solving an general Asymmetric Traveling Salesman Problem (ATSP) instance is based on the number of cities; nevertheless, it is not sufficiently adequate for discriminating the best algorithm for solving an ATSP instance, thus the necessity for devising a new metric through the use of data-mining techniques. In this paper we propose: (1) the use of a genetic distance metric for improving the selection of the algorithms that best solve a given instance of the ATSP and (2) the use of discriminant analysis as a means for predictive learning (data-mining techniques) aiming at selecting meta-heuristic algorithms. AU - Perez-Ortega, J. AU - Pazos R, R. A. AU - Ruiz-Vanoye, J. A. AU - Frausto-Solis, J. AU - Gonzalez-Barbosa, J. J. AU - Fraire-Huacuja, H. J. AU - Diaz-Parra, O. DA - 2010 DO - 10.3233/IFS-2010-0435 IS - 1-2 J2 - Journal of Intelligent & Fuzzy Systems KW - data mining learning by example statistical analysis travelling salesman problems PY - 2010 SN - 1064-1246 SP - 57-64 ST - A genetic distance metric to discriminate the selection of algorithms for the general ATSP problem T2 - Journal of Intelligent & Fuzzy Systems TI - A genetic distance metric to discriminate the selection of algorithms for the general ATSP problem UR - http://dx.doi.org/10.3233/IFS-2010-0435 VL - 21 ID - 1465 ER - TY - JOUR AB - The only metric that had existed so far to determine the best algorithm for solving an general Asymmetric Traveling Salesman Problem (ATSP) instance is based on the number of cities; nevertheless, it is not sufficiently adequate for discriminating the best algorithm for solving an ATSP instance, thus the necessity for devising a new metric through the use of data-mining techniques. In this paper we propose: (1) the use of a genetic distance metric for improving the selection of the algorithms that best solve a given instance of the ATSP and (2) the use of discriminant analysis as a means for predictive learning (data-mining techniques) aiming at selecting meta-heuristic algorithms. AU - Perez-Ortega, J. AU - Pazos R, R. A. AU - Ruiz-Vanoye, J. A. AU - Frausto-Solis, J. AU - Gonzalez-Barbosa, J. J. AU - Fraire-Huacuja, H. J. AU - Diaz-Parra, O. DA - 2010 DO - 10.3233/IFS-2010-0435 IS - 1-2 PY - 2010 SN - 1064-1246 SP - 57-64 ST - A genetic distance metric to discriminate the selection of algorithms for the general ATSP problem T2 - Journal of Intelligent & Fuzzy Systems TI - A genetic distance metric to discriminate the selection of algorithms for the general ATSP problem VL - 21 ID - 2017 ER - TY - JOUR AB - Acidophilic microorganisms inhabit low pH environments such as acid mine drainage that is generated when sulfide minerals are exposed to air. The genome sequence of the psychrotolerant Acidithiobacillus ferrivorans SS3 was compared to a metagenome from a low temperature acidic stream dominated by an A. ferrivorans-like strain. Stretches of genomic DNA characterized by few matches to the metagenome, termed 'metagenomic islands', encoded genes associated with metal efflux and pH homeostasis. The metagenomic islands were enriched in mobile elements such as phage proteins, transposases, integrases and in one case, predicted to be flanked by truncated tRNAs. Cur gene clusters predicted to be involved in copper efflux and further Cus-like RND systems were predicted to be located in metagenomic islands and therefore, constitute part of the flexible gene complement of the species. Phylogenetic analysis of Cus clusters showed both lineage specificity within the Acidithiobacillus genus as well as niche specificity associated with an acidic environment. The metagenomic islands also contained a predicted copper efflux P-type ATPase system and a polyphosphate kinase potentially involved in polyphosphate mediated copper resistance. This study identifies genetic variability of low temperature acidophiles that likely reflects metal resistance selective pressures in the copper rich environment. (C) 2014 Institut Pasteur. Published by Elsevier Masson SAS. All rights reserved. AU - Gonzalez, Carolina AU - Yanquepe, Maria AU - Cardenas, Juan Pablo AU - Valdes, Jorge AU - Quatrini, Raquel AU - Holmes, David S. AU - Dopson, Mark DA - 2014/11// DO - 10.1016/j.resmic.2014.08.005 IS - 9 L1 - internal-pdf://4168787356/Gonzalez-2014-Genetic variability of psychroto.pdf PY - 2014 SN - 0923-2508 SP - 726-734 ST - Genetic variability of psychrotolerant Acidithiobacillus ferrivorans revealed by (meta)genomic analysis T2 - Research in Microbiology TI - Genetic variability of psychrotolerant Acidithiobacillus ferrivorans revealed by (meta)genomic analysis UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0923250814001351/1-s2.0-S0923250814001351-main.pdf?_tid=6a406210-8336-11e6-9877-00000aab0f26&acdnat=1474818221_462d9b9f19f5d771fa0430726c078565 VL - 165 ID - 2189 ER - TY - JOUR AB - To discover new rheumatoid arthritis (RA) risk loci, we systematically examined 370 SNPs from 179 independent loci with P < 0.001 in a published meta-analysis of RA genome-wide association studies (GWAS) of 3,393 cases and 12,462 controls. We used Gene Relationships Across Implicated Loci (GRAIL), a computational method that applies statistical text mining to PubMed abstracts, to score these 179 loci for functional relationships to genes in 16 established RA disease loci. We identified 22 loci with a significant degree of functional connectivity. We genotyped 22 representative SNPs in an independent set of 7,957 cases and 11,958 matched controls. Three were convincingly validated: CD2-CD58 (rs11586238, P = 1 x 10(-6) replication, P = 1 x 10(-9) overall), CD28 (rs1980422, P = 5 x 10(-6) replication, P = 1 x 10(-9) overall) and PRDM1 (rs548234, P = 1 x 10(-5) replication, P = 2 x 10(-8) overall). An additional four were replicated (P < 0.0023): TAGAP (rs394581, P = 0.0002 replication, P = 4 x 10(-7) overall), PTPRC (rs10919563, P = 0.0003 replication, P = 7 x 10(-7) overall), TRAF6-RAG1 (rs540386, P = 0.0008 replication, P = 4 x 10(-6) overall) and FCGR2A (rs12746613, P = 0.0022 replication, P = 2 x 10(-5) overall). Many of these loci are also associated to other immunologic diseases. AU - Raychaudhuri, Soumya AU - Thomson, Brian P. AU - Remmers, Elaine F. AU - Eyre, Stephen AU - Hinks, Anne AU - Guiducci, Candace AU - Catanese, Joseph J. AU - Xie, Gang AU - Stahl, Eli A. AU - Chen, Robert AU - Alfredsson, Lars AU - Amos, Christopher I. AU - Ardlie, Kristin G. AU - Barton, Anne AU - Bowes, John AU - Burtt, Noel P. AU - Chang, Monica AU - Coblyn, Jonathan AU - Costenbader, Karen H. AU - Criswell, Lindsey A. AU - Crusius, J. Bart A. AU - Cui, Jing AU - De Jager, Phillip L. AU - Ding, Bo AU - Emery, Paul AU - Flynn, Edward AU - Harrison, Pille AU - Hocking, Lynne J. AU - Huizinga, Tom W. J. AU - Kastner, Daniel L. AU - Ke, Xiayi AU - Kurreeman, Fina A. S. AU - Lee, Annette T. AU - Liu, Xiangdong AU - Li, Yonghong AU - Martin, Paul AU - Morgan, Ann W. AU - Padyukov, Leonid AU - Reid, David M. AU - Seielstad, Mark AU - Seldin, Michael F. AU - Shadick, Nancy A. AU - Steer, Sophia AU - Tak, Paul P. AU - Thomson, Wendy AU - van der Helm-van Mil, Annette H. M. AU - van der Horst-Bruinsma, Irene E. AU - Weinblatt, Michael E. AU - Wilson, Anthony G. AU - Wolbink, Gert Jan AU - Wordsworth, Paul AU - Altshuler, David AU - Karlson, Elizabeth W. AU - Toes, Rene E. M. AU - de Vries, Niek AU - Begovich, Ann B. AU - Siminovitch, Katherine A. AU - Worthington, Jane AU - Klareskog, Lars AU - Gregersen, Peter K. AU - Daly, Mark J. AU - Plenge, Robert M. DA - 2009/12//undefined DO - 10.1038/ng.479 IS - 12 J2 - Nat Genet KW - *Genetic Variation Antigens, CD2/*genetics Antigens, CD28/*genetics Antigens, CD58/*genetics Arthritis, Rheumatoid/*genetics Case-Control Studies Genetic Predisposition to Disease Genotype Humans Polymorphism, Single Nucleotide Repressor Proteins/*genetics Risk Factors LA - eng PY - 2009 SN - 1546-1718 1061-4036 SP - 1313-1318 ST - Genetic variants at CD28, PRDM1 and CD2/CD58 are associated with rheumatoid arthritis risk T2 - Nature genetics TI - Genetic variants at CD28, PRDM1 and CD2/CD58 are associated with rheumatoid arthritis risk VL - 41 ID - 315 ER - TY - JOUR AB - BACKGROUND: To identify loci associated with abdominal fat and replicate prior findings, we performed genome-wide association (GWA) studies of abdominal fat traits: subcutaneous adipose tissue (SAT); visceral adipose tissue (VAT); total adipose tissue (TAT) and visceral to subcutaneous adipose tissue ratio (VSR). SUBJECTS AND METHODS: Sex-combined and sex-stratified analyses were performed on each trait with (TRAIT-BMI) or without (TRAIT) adjustment for body mass index (BMI), and cohort-specific results were combined via a fixed effects meta-analysis. A total of 2513 subjects of European descent were available for the discovery phase. For replication, 2171 European Americans and 772 African Americans were available. RESULTS: A total of 52 single-nucleotide polymorphisms (SNPs) encompassing 7 loci showed suggestive evidence of association (P<1.0 x 10(-6)) with abdominal fat in the sex-combined analyses. The strongest evidence was found on chromosome 7p14.3 between a SNP near BBS9 gene and VAT (rs12374818; P=1.10 x 10(-7)), an association that was replicated (P=0.02). For the AU - Sung, Y. J. AU - Perusse, L. AU - Sarzynski, M. A. AU - Fornage, M. AU - Sidney, S. AU - Sternfeld, B. AU - Rice, T. AU - Terry, J. G. AU - Jacobs, D. R., Jr. AU - Katzmarzyk, P. AU - Curran, J. E. AU - Jeffrey Carr, J. AU - Blangero, J. AU - Ghosh, S. AU - Despres, J. P. AU - Rankinen, T. AU - Rao, D. C. AU - Bouchard, C. DA - 2016/04//undefined DO - 10.1038/ijo.2015.217 IS - 4 J2 - Int J Obes (Lond) LA - eng PY - 2016 SN - 1476-5497 0307-0565 SP - 662-674 ST - Genome-wide association studies suggest sex-specific loci associated with abdominal and visceral fat T2 - International journal of obesity (2005) TI - Genome-wide association studies suggest sex-specific loci associated with abdominal and visceral fat VL - 40 ID - 200 ER - TY - JOUR AB - Genome-wide association studies (GWAS) have had great success in identifying common genetic determinants of disease. One of the challenges posed by GWAS is the analysis of the large amount of data generated. This review aims to provide the non-geneticists with an overview of the different steps entailed in analysis of GWAS data, with an emphasis on popular bioinformatics tools available. GWAS data generation, analysis, and interpretation will be covered. AU - Pare, Guillaume DA - 2010/06//undefined DO - 10.1007/s12265-010-9181-y IS - 3 J2 - J Cardiovasc Transl Res KW - *Computational Biology *Databases, Genetic *Data Mining *Polymorphism, Single Nucleotide Computer Graphics Coronary Artery Disease/*genetics Gene Frequency Genetic Predisposition to Disease Genome-Wide Association Study/*methods Humans Meta-Analysis as Topic Phenotype Risk Assessment Risk Factors Software LA - eng PY - 2010 SN - 1937-5395 1937-5387 SP - 183-188 ST - Genome-wide association studies--data generation, storage, interpretation, and bioinformatics T2 - Journal of cardiovascular translational research TI - Genome-wide association studies--data generation, storage, interpretation, and bioinformatics VL - 3 ID - 107 ER - TY - JOUR AB - Tremendous amounts of microarray data for various organisms have provided a rich opportunity for computational analyses of gene products. Integrating these data can help inferring biological knowledge effectively. We present a new statistical method of integrating multiple microarray datasets for gene function prediction. We tested the performance of our model using yeast and human datasets. Our results show that combining multiple datasets improves the accuracy over the best function prediction of any single dataset significantly. We also compared performance of the meta p-value and meta correlation methods for function prediction. Supplementary results and code are available at http://digbio.missouri.edu/meta_analyses. AU - Srivastava, G. P. AU - Jing, Qiu AU - Dong, Xu DA - 2010 DO - 10.1504/IJDMB.2010.034194 IS - 4 J2 - International Journal of Data Mining and Bioinformatics KW - biology computing Genomics statistical analysis PY - 2010 SN - 1748-5673 SP - 357-76 ST - Genome-wide functional annotation by integrating multiple microarray datasets using meta-analysis T2 - International Journal of Data Mining and Bioinformatics TI - Genome-wide functional annotation by integrating multiple microarray datasets using meta-analysis UR - http://dx.doi.org/10.1504/IJDMB.2010.034194 VL - 4 ID - 1881 ER - TY - JOUR AB - BACKGROUND: Chronic Allograft Nephropathy (CAN) is a clinical entity of progressive kidney transplant injury. The defining histology is tubular atrophy with interstitial fibrosis (IFTA). Using a meta-analysis of microarrays from 84 kidney transplant biopsies, we revealed growth factor and integrin adhesion molecule pathways differentially expressed and correlated with histological progression. A bioinformatics approach mining independent datasets leverages new and existing data to identify correlative changes in integrin and growth factor signaling pathways. RESULTS: Analysis of CAN/IFTA Banff grades showed that hepatocyte growth factor (HGF), and epidermal growth factor (EGF) pathways are significantly differentially expressed in all classes of CAN/IFTA. MAPK-dependent pathways were also significant. However, the TGFbeta pathways, albeit present, failed to differentiate CAN/IFTA progression. The integrin subunits beta8, alphav, alphamu and beta5 are differentially expressed, but beta1, beta6 and alpha6 specifically correlate with progression of chronic injury. Results were validated using our published proteomic profiling of CAN/IFTA. CONCLUSIONS: CAN/IFTA with chronic kidney injury is characterized by expression of distinct growth factors and specific integrin adhesion molecules as well as their canonical signaling pathways. Drug target mapping suggests several novel candidates for the next generation of therapeutics to prevent or treat progressive transplant dysfunction with interstitial fibrosis. AU - Dosanjh, Amrita AU - Robison, Elizabeth AU - Mondala, Tony AU - Head, Steven R. AU - Salomon, Daniel R. AU - Kurian, Sunil M. DA - 2013 DO - 10.1186/1471-2164-14-275 J2 - BMC Genomics KW - *Transcriptome Atrophy/pathology Fibrosis Graft Rejection/*genetics Humans Integrins/*genetics Intercellular Signaling Peptides and Proteins/*genetics Kidney/pathology Kidney Transplantation/*pathology Signal Transduction/*genetics L1 - internal-pdf://2542674957/Dosanjh-2013-Genomic meta-analysis of growth f.pdf LA - eng PY - 2013 SN - 1471-2164 1471-2164 SP - 275 ST - Genomic meta-analysis of growth factor and integrin pathways in chronic kidney transplant injury T2 - BMC genomics TI - Genomic meta-analysis of growth factor and integrin pathways in chronic kidney transplant injury UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3644490/pdf/1471-2164-14-275.pdf VL - 14 ID - 56 ER - TY - JOUR AB - Background: F-2 resource populations have been used extensively to map QTL segregating between pig breeds. A limitation associated with the use of these resource populations for fine mapping of QTL is the reduced number of founding individuals and recombinations of founding haplotypes occurring in the population. These limitations, however, become advantageous when attempting to impute unobserved genotypes using within family segregation information. A trade-off would be to re-type F-2 populations using high density SNP panels for founding individuals and low density panels (tagSNP) in F-2 individuals followed by imputation. Subsequently a combined meta-analysis of several populations would provide adequate power and resolution for QTL mapping, and could be achieved at relatively low cost. Such a strategy allows the wealth of phenotypic information that has previously been obtained on experimental resource populations to be further mined for QTL identification. In this study we used experimental and simulated high density genotypes (HD-60K) from an F-2 cross to estimate imputation accuracy under several genotyping scenarios. Results: Selection of tagSNP using physical distance or linkage disequilibrium information produced similar imputation accuracies. In particular, tagSNP sets averaging 1 SNP every 2.1 Mb (1,200 SNP genome-wide) yielded imputation accuracies (IA) close to 0.97. If instead of using custom panels, the commercially available 9K chip is used in the F-2, IA reaches 0.99. In order to attain such high imputation accuracy the F-0 and F-1 generations should be genotyped at high density. Alternatively, when only the F-0 is genotyped at HD, while F-1 and F-2 are genotyped with a 9K panel, IA drops to 0.90. Conclusions: Combining 60K and 9K panels with imputation in F-2 populations is an appealing strategy to re-genotype existing populations at a fraction of the cost. AU - Duarte, Jose L. Gualdron AU - Bates, Ronald O. AU - Ernst, Catherine W. AU - Raney, Nancy E. AU - Cantet, Rodolfo J. C. AU - Steibel, Juan P. DA - 2013/05/08/ DO - 10.1186/1471-2156-14-38 L1 - internal-pdf://2531854536/Duarte-2013-Genotype imputation accuracy in a.pdf PY - 2013 SN - 1471-2156 SP - 38 ST - Genotype imputation accuracy in a F2 pig population using high density and low density SNP panels T2 - Bmc Genetics TI - Genotype imputation accuracy in a F2 pig population using high density and low density SNP panels UR - https://www-ncbi-nlm-nih-gov.ezproxy.lib.vt.edu/pmc/articles/PMC3655050/pdf/1471-2156-14-38.pdf VL - 14 ID - 1982 ER - TY - BLOG AB - Preamble This article is based on my exploration of the basic text mining capabilities of R, the open source statistical software. It is intended primarily as a tutorial for novices in text minin… DA - 2015/05/27/T12:08:39+00:00 PY - 2015 ST - A gentle introduction to text mining using R T2 - Eight to Late TI - A gentle introduction to text mining using R UR - https://eight2late.wordpress.com/2015/05/27/a-gentle-introduction-to-text-mining-using-r/ ID - 2525 ER - TY - JOUR AB - The purposes of this study were to assess the influence of old mining activities on the geochemistry and quality of sediments and to identify the sites of economic elements. Thirty sites of stream sediment were sampled in the study area covered by granitic, metarhyodacitic and meta-andesitic rocks and related tuffs-hosted abandoned Au mine. The suite of chemical elements, Ag, Bi, Cd, Cu, Fe, Ga, Hg, Mn, Nb, Pb, Rb, Sb, Se, Sn, Te, Th, U, Y, Zn and Zr, pH value and total organic carbon were determined, and univariate, bivariate and multivariate statistical methods were applied. The results show that the enrichment factor (EF) is very high in the case of Te and significant also with respect to Ag, Bi, Cu, Sb, Se, Sn and Zn. Likewise, geoaccumulation indices (Igeos) varied from very highly polluted with Sn and Te, strongly to very strongly polluted with Bi and Se, and moderately polluted with Sb. The polluted sites of Ag, Bi, Sb, Se, Sn and Te were outlined using Igeos maps, and economic sites of Ag and Sn were identified by geochemical maps leading to their sources, which are likely to be mining activities and lithogenic processes. The pollutant elements may cause toxicity in stream sediments, or surface or underground water, as well as plants and animals in the area. This investigation provides an environmental baseline for future monitoring of possible human/anthropogenic, industrial and agricultural impacts on the study area and considers an attempt at re-mining Ag and Sn. 2010 Springer-Verlag. AU - Darwish, Mohamed Abdallah Gad DA - 2011 DO - 10.1007/s12665-010-0555-x IS - 3 J2 - Environmental Earth Sciences KW - Animals Chemical elements Gallium Geochemistry Groundwater Hydraulics Lead Manganese Mercury (metal) Mining laws and regulations Multivariant analysis Niobium Organic carbon Rating Rubidium Sedimentology Silver Surveys Tellurium compounds Tin Zinc Zirconium L1 - internal-pdf://3817162910/Darwish-2011-Geochemical reconnaissance survey.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 18666280 SP - 657-672 ST - Geochemical reconnaissance survey and environmental assessment for stream sediments of Wadi Um Gier, Southeastern Desert, Egypt T2 - Environmental Earth Sciences TI - Geochemical reconnaissance survey and environmental assessment for stream sediments of Wadi Um Gier, Southeastern Desert, Egypt UR - http://dx.doi.org/10.1007/s12665-010-0555-x VL - 62 ID - 777 ER - TY - JOUR AB - Taking the meta-volcanics in Shire region of Ethiopia northern as a typical instance, the lithology lithofacies characteristics of the meta-volcanics cycle were compound, and the technology and method were discussed to identify volcanic cycle and rhythm by using geochemical data. Through the geological and geochemical section analysis, this method selects the representative geochemical elements Si and Fe+Mg content as analysis, object and db5 wavelet bases for the three-scale after wavelet decomposition and reconstruction. Synthetically comparing the spatial distribution characteristics of the geological section, the meta-volcanics were divided into 6 cycles and 15 rhythm. The results show that wavelet processing, the geochemical data effectively remove the local noise interference and extract the information about cycle and rhythm. The wavelet analysis plays a unique function and effect in discrimination of volcano cycle, i.e. it not only effectively divides the regional volcanic cycle, but also validly identifies the rhythm inside volcanic cycle. AU - Han, Shi-li AU - Zhang, Shu-gene AU - Liu, Jian-xin AU - Ding, Jun AU - Zhang, Wen-shan AU - Zhu, Si-cai DA - 2012/11/26/ IS - 11 J2 - Journal of Central South University (Science and Technology) KW - Geochemistry Iron magnesium Silicon volcanology PY - 2012 SN - 1672-7207 SP - 4388-94 ST - Geochemical wavelet analysis application in discrimination of volcanic cycle and rhythm: an example from Shire region in northern Ethiopia T2 - Journal of Central South University (Science and Technology) TI - Geochemical wavelet analysis application in discrimination of volcanic cycle and rhythm: an example from Shire region in northern Ethiopia VL - 43 ID - 1202 ER - TY - JOUR AB - The mineralized quartz veins contain Muscovite, chlorite, zircon, monazite, ferberite, hubnerite, xenotime, pyrite, anatase, Fe oxides-hydrox ides, saleeite, meta-saleeite, other dehydration U-phosphate phases and other P-U-bearing phases. Uraninite is rare and was only found in the Variscan granite. Some uraninite analyses show low totals and high values in Fe and Si, indicating some alteration. Ce-monazite in the granite is richer in U, P, Ca and poorer in LREE than Ce-monazite in the phyllite and quartz veins. In the mineralized quartz veins, zircon crystals are dissolved and vacuolated. The grains have cores chemically close to the endmember [(Hf,Zr)SiO(4)], but the rims have very low totals (similar to 82 wt.%), low Si and Zr and very high Fe and U (similar to 18 wt.% UO(2)) contents. In the mineralized quartz veins, anatase grains are vacuolated and they often contain or are rimmed by U-bearing Fe oxyhydroxides. In the mineralized veins, the chlorite which is in contact with the U-phosphates has a higher Mg/(Mg+Fe) ratio and higher U contents than the chlorite which Occurs dispersed in these veins. The rims of chlorite crystals have higher U and Fe and less Mg contents than the cores, and some crystals are altered to Fe oxyhydroxides. Fe oxyhydroxide phases contain high values of Si and Al, but also P. U and sometimes both. The high contents of U and P found in the Fe oxyhydroxides may be due to nano-inclusions of U-phosphates. The precipitation of saleeite and meta-saleeite at the surface of Fe minerals was responsible for U retention within the quartz veins, leading to the uranium phosphate mineralization. Saleeite and meta-saleeite are associated with pyrite, chlorite and Fe oxyhydroxides. Other U-phosphate phases with similar compositions to saleeite but with different H(2)O content also occur. Also a ferrous-substituted-saleeite was found in the adjacent phyllite. AU - Cabral Pinto, Marina M. S. AU - Silva, Maria M. V. G. AU - Neiva, Ana M. R. DA - 2008/11// DO - 10.1127/0077-7757/2008/0120 IS - 2 PY - 2008 SN - 0077-7757 SP - 183-198 ST - Geochemistry of U-bearing minerals from the Vale de Abrutiga uranium mine area, Central Portugal T2 - Neues Jahrbuch Fur Mineralogie-Abhandlungen TI - Geochemistry of U-bearing minerals from the Vale de Abrutiga uranium mine area, Central Portugal VL - 185 ID - 2107 ER - TY - CONF AB - The use of GPS Carrier Phase (CP) techniques is now widely accepted as an inexpensive and practical method to compare time and frequencies over large distances. A collaboration between the Astronomical Institute of the University of Bern (AIUB) and the Swiss Federal Office of Metrology and Accreditation (METAS) has produced a dedicated Geodetic Time Transfer Terminal (GeTT-Terminal) which was the subject of earlier communications. Whereas in the past these terminals have been used as mobile units and deployed on various locations, a permanent station has now been set up at METAS and shall become a site of the International GPS Service (IGS) network. In parallel AIUB, responsible for the development of the processing software and the processing of the data, has improved the time and frequency transfer tools of its Bernese GPS Software package. Small discontinuities in the resulting time series occur if the data are analysed in daily independent computation batches. Depending on the mean noise behaviour of the code observations a magnitude of up to one nanosecond may result for these artificial "clock jumps". Implementations in the Bernese GPS Software have been carried out to overcome the day boundary discontinuities: the hand-over of the receiver and satellite clock parameter at midnight, and the stacking of the ambiguity parameters at the day boundaries. For the geodetic time and frequency transfer these implementations allow to generate a solution for an infinite time interval. The paper describes the algorithms and focuses on an additional benefit from these developments: A geodetic frequency transfer solution can be computed based on the phase measurements only without using code data at all. In this case inconsistencies between the code and phase data caused by internal receiver clock events will not affect the solution. The stacking of ambiguities at the boundaries of independently analysed time intervals allows to generate a frequency transfer solution for a long time interval that is only limited by a loss of lock to all satellites. AU - Dach, R. AU - Bernier, L. G. AU - Dudle, G. AU - Schildknecht, T. AU - Hugentobler, U. C3 - 19th European Frequency and Time Forum, EFTF 2005 - Proceedings, March 21, 2005 - March 24, 2005 DA - 2005 KW - Accreditation Clocks Codes (symbols) Continuous time systems data handling Geodesy Geodetic satellites Global positioning system Solution mining time series N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - European Frequency and Time Forum (EFTF) PY - 2005 SP - 117-122 ST - Geodetic frequency Transfer recent developments in the AIUB-METAS collaboration T3 - 19th European Frequency and Time Forum, EFTF 2005 - Proceedings TI - Geodetic frequency Transfer recent developments in the AIUB-METAS collaboration ID - 726 ER - TY - JOUR AB - BACKGROUND: In the post-genomic era, the development of high-throughput gene expression detection technology provides huge amounts of experimental data, which challenges the traditional pipelines for data processing and analyzing in scientific researches. RESULTS: In our work, we integrated gene expression information from Gene Expression Omnibus (GEO), biomedical ontology from Medical Subject Headings (MeSH) and signaling pathway knowledge from sigPathway entries to develop a context mining tool for gene expression analysis - GEOGLE. GEOGLE offers a rapid and convenient way for searching relevant experimental datasets, pathways and biological terms according to multiple types of queries: including biomedical vocabularies, GDS IDs, gene IDs, pathway names and signature list. Moreover, GEOGLE summarizes the signature genes from a subset of GDSes and estimates the correlation between gene expression and the phenotypic distinction with an integrated p value. CONCLUSION: This approach performing global searching of expression data may expand the traditional way of collecting heterogeneous gene expression experiment data. GEOGLE is a novel tool that provides researchers a quantitative way to understand the correlation between gene expression and phenotypic distinction through meta-analysis of gene expression datasets from different experiments, as well as the biological meaning behind. The web site and user guide of GEOGLE are available at: http://omics.biosino.org:14000/kweb/workflow.jsp?id=00020. AU - Yu, Yao AU - Tu, Kang AU - Zheng, Siyuan AU - Li, Yun AU - Ding, Guohui AU - Ping, Jie AU - Hao, Pei AU - Li, Yixue DA - 2009 DO - 10.1186/1471-2105-10-264 J2 - BMC Bioinformatics KW - *Gene Expression *Phenotype *Software Computational Biology/*methods Databases, Genetic User-Computer Interface LA - eng PY - 2009 SN - 1471-2105 1471-2105 SP - 264 ST - GEOGLE: context mining tool for the correlation between gene expression and the phenotypic distinction T2 - BMC bioinformatics TI - GEOGLE: context mining tool for the correlation between gene expression and the phenotypic distinction VL - 10 ID - 314 ER - TY - JOUR AB - In recent years, a web phenomenon known as Volunteered Geographic Information (VGI) has produced large crowdsourced geographic data sets. OpenStreetMap (OSM), the leading VGI project, aims at building an open-content world map through user contributions. OSM semantics consists of a set of properties (called 'tags') describing geographic classes, whose usage is defined by project contributors on a dedicated Wiki website. Because of its simple and open semantic structure, the OSM approach often results in noisy and ambiguous data, limiting its usability for analysis in information retrieval, recommender systems and data mining. Devising a mechanism for computing the semantic similarity of the OSM geographic classes can help alleviate this semantic gap. The contribution of this paper is twofold. It consists of (1) the development of the OSM Semantic Network by means of a web crawler tailored to the OSM Wiki website; this semantic network can be used to compute semantic similarity through co-citation measures, providing a novel semantic tool for OSM and GIS communities; (2) a study of the cognitive plausibility (i.e. the ability to replicate human judgement) of co-citation algorithms when applied to the computation of semantic similarity of geographic concepts. Empirical evidence supports the usage of co-citation algorithms-SimRank showing the highest plausibility-to compute concept similarity in a crowdsourced semantic network. AU - Ballatore, Andrea AU - Bertolotto, Michela AU - Wilson, David C. DA - 2013/10// DO - 10.1007/s10115-012-0571-0 IS - 1 PY - 2013 SN - 0219-1377 SP - 61-81 ST - Geographic knowledge extraction and semantic similarity in OpenStreetMap T2 - Knowledge and Information Systems TI - Geographic knowledge extraction and semantic similarity in OpenStreetMap VL - 37 ID - 2146 ER - TY - JOUR AB - The heat sinks are utilized in electronic devices to eliminate heat from the chip and efficiently transmit it to the environment. Therefore, the optimal geometry sizes of fin heat sinks are the point of concern for manufacturers and designers. For this reason, the importance of optimization techniques particularly metaheuristics is understood. The design variables are width of heat sink, number of fins, fin height, and fin diameter. The various responses that have been considered are electromagnetic emitted radiations, thermal resistance, and mass of the heat sink investigated separately and simultaneously (multi-objective). Mine blast algorithm (MBA), as a recently developed optimizer, is inspired from explosion of mines. The optimum dimensions and values for each response have been obtained by the MBA and have been compared with other optimization methods in the literature. In terms of thermal resistance and mass responses, the MBA has offered better values, while for the emitted radiations, the obtained results obtained by Taguchi-based gray relational analysis (TGRA) was preferred. For manufacturing point of view, the MBA and TGRA both suggested better and efficient design. In addition, the value path analysis has been carried out to compare the trade-off among the considered responses. Finally, parametric sensitivity analyses have been implemented for design parameters, and discussions and comparisons have been carried out for the effects of each decision variable. By considering all responses, width of heat sink and fin height are considered as the most important and effective design parameters, respectively. 2014 Springer-Verlag London. AU - Sadollah, Ali AU - Eskandar, Hadi AU - Kim, Joong Hoon DA - 2014 DO - 10.1007/s00170-014-5881-9 IS - 5-8 J2 - International Journal of Advanced Manufacturing Technology KW - Algorithms Design Fins (heat exchange) Heat sinks Manufacture Multiobjective optimization Regression Analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 02683768 SP - 795-804 ST - Geometry optimization of a cylindrical fin heat sink using mine blast algorithm T2 - International Journal of Advanced Manufacturing Technology TI - Geometry optimization of a cylindrical fin heat sink using mine blast algorithm UR - http://dx.doi.org/10.1007/s00170-014-5881-9 VL - 73 ID - 1293 ER - TY - JOUR AB - The occurrences of gold and disseminated sulfides lie as a part of the shearing fault zone that extends from the north to the south of the study area for a length of about 25 km. The gold and disseminated sulfides are located on the alteration shear zone which is composed of quartz-feldspathic highly ferruginated rock (gossans) occupying the eastern and central parts of the area. Mineralogical analyses that were done on bedrock samples of the oxidized and alteration zones indicated that there are two anomalous spots of gold contents; the first one has values ranging from 5 to 49 g ton-1 and the second anomaly has values ranging from 150 to 502.5 g ton -1 . Magnetic, self-potential, resistivity and induced polarization surveys were applied at Wadi El Beida area to delineate the mineral ore deposits in terms of depths and extensions through the structural shearing zone. The quantitative interpretation of magnetic data was carried out by using two techniques; the first is 3D magnetic inversion using Euler deconvolution and the second is magnetic models using the MAGMOD program. The results of the magnetic interpretation indicated that the depths of such ore deposits range from 35.9 to 52.7 m and the half width ranged from 27.2 to 87.8 m. The SP contour maps show negative anomalies with ranges from -70 to 20 mV. Most of these anomalies occupy the shear, silicified zones, alterations and rock contacts. The SP anomalies are correlated with other geophysical ones and also with the geological sources. Quantitative interpretation was done on the selected anomalies along the coded lines on the normal SP contour map. The quantitative interpretation of self-potential anomalies (SP) was carried out using two techniques; the first is a new algorithm constructed by Monteiro Santos (2009) using particle swarm optimization (PSO) and the second is the code constructed by Caglar (2000). The depths range from 20 to 60 m. The gradient resistivity survey was carried out simultaneously with IP measurements. The low-resistivity zones coincide with the altered and sheared acidic meta-volcanics. The quantitative interpretation technique determined the conductive bodies' parameters using the Schulz method (1985) where the depth to the top of the ore body ranged from 21 to 62 m while the maximum width ranged from 52 to 165 m. The induced polarization-chargeability data were measured in the time domain. The positive anomalies on the IP-chargeability map coincide with the sites of alterations, shears and contact zones. Four dipole-dipole sections were carried out along the anomalous sites selected from the constructed maps in the study area and were inverted using the RES2DINV program. The results of resistivity and IP inversions indicated that there are conductive and chargeable bodies at depths ranging from 15 to 65 m. According to the integrated geophysical results, two suggested borehole sites were selected before carrying out any future mining projects. AU - Sultan, S. A. AU - Mansour, S. A. AU - Santos, F. M. AU - Helaly, A. S. DA - 2009/12// DO - 10.1088/1742-2132/6/4/002 IS - 4 J2 - Journal of Geophysics and Engineering KW - faulting geophysical prospecting geophysical signal processing Gold inverse problems minerals rock magnetism PY - 2009 SN - 1742-2140 SP - 345-56 ST - Geophysical exploration for gold and associated minerals, case study: Wadi El Beida area, South Eastern Desert, Egypt T2 - Journal of Geophysics and Engineering TI - Geophysical exploration for gold and associated minerals, case study: Wadi El Beida area, South Eastern Desert, Egypt UR - http://dx.doi.org/10.1088/1742-2132/6/4/002 VL - 6 ID - 789 ER - TY - JOUR AB - The task of automatically estimating the location of web resources is of central importance in location-based services on the Web. Much attention has been focused on Flickr photos and videos, for which it was found that language modeling approaches are particularly suitable. In particular, state-of-the art systems for georeferencing Flickr photos tend to cluster the locations on Earth in a relatively small set of disjoint regions, apply feature selection to identify location-relevant tags, then use a form of text classification to identify which area is most likely to contain the true location of the resource, and finally attempt to find an appropriate location within the identified area. In this paper, we present a systematic discussion of each of the aforementioned components, based on the lessons we have learned from participating in the 2010 and 2011 editions of MediaEval's Placing Task. Extensive experimental results allow us to analyze why certain methods work well on this task and show that a median error of just over 1 km can be achieved on a standard benchmark test set. (C) 2013 Elsevier Inc. All rights reserved. AU - Van Laere, Olivier AU - Schockaert, Steven AU - Dhoedt, Bart DA - 2013/07/20/ DO - 10.1016/j.ins.2013.02.045 PY - 2013 SN - 0020-0255 SP - 52-74 ST - Georeferencing Flickr resources based on textual meta-data T2 - Information Sciences TI - Georeferencing Flickr resources based on textual meta-data VL - 238 ID - 2153 ER - TY - CONF AB - International media have recognized the potential of geo-browsers such as NASA World Wind and Google Earth, for example when Web and television coverage on hurricane "Katrina" used interactive geospatial projections to illustrate its path and the scale of destruction. Yet these early applications only hint at the true potential of geo-browsing technology to build and maintain virtual communities, and to revolutionize the production, distribution and consumption of media products. Investigating this potential, this paper reviews the literature on geospatial publishing with a special focus on extracting geospatial context from unstructured textual resources. A content analysis of online coverage based on a suite of text mining tools then sheds light on the popularity and adoption of geo-browsing platforms. While such platforms might help enrich a company's portfolio of media products, they also pose a threat for existing players through attracting new competitors; e.g., independent providers of geospatial metadata or location-based services. AU - Scharl, A. C3 - ICSOFT 2006. Proceedings of the First International Conference on Software and Data Technologies, 11-14 Sept. 2006 DA - 2006 KW - data mining Geographic information systems Knowledge management meta data online front-ends Publishing N1 -CD-ROM
PB - Institute for Systems and Technologies of Information, Control and Communication PY - 2006 SP - 6-pp. ST - Geospatial publishing: creating and managing geo-tagged knowledge repositories T3 - ICSOFT 2006. Proceedings of the First International Conference on Software and Data Technologies TI - Geospatial publishing: creating and managing geo-tagged knowledge repositories ID - 1126 ER - TY - JOUR AB - Due to the increasing energy demand worldwide and the resulting rising costs of conventional fuels, alternative energy sources could play a significant role towards global energy sustainability. Geothermal near-surface systems based on heat pumps have already proved to be a feasible option for the heating and cooling of buildings, while offering low COinf2/inf footprint. In this study, the concept of using abandoned mines for geothermal heat recovery with either closed- or open-loop configurations is systematically reviewed based on 18 projects worldwide. Key engineering parameters such as temperature on depth, circulation flow rate, mine water quality, and end-users location and demand have been used to characterize and classify the different projects. The study shows that the projects significantly differ from one another, thus highlighting the attractive versatility of this geothermal concept. A key outcome of this work is the development of a systematic procedure to evaluate future projects, followed by an example of a preliminary system design for a synthetic case scenario in the Harz region in Germany. After Chinas energy administrations recent announcement that the country will close 1,725 small-scale coal mines over the course of 2014 and considering the alarming levels of air pollution in the country, the concept of geothermal heat recovery from abandoned mines could become even more significant in the near future. 2015, Springer-Verlag Berlin Heidelberg. AU - Peralta Ramos, Esmeralda AU - Breede, Katrin AU - Falcone, Gioia DA - 2015 DO - 10.1007/s12665-015-4285-y IS - 11 J2 - Environmental Earth Sciences KW - Abandoned mines Alternative fuels Carbon dioxide Coal mines Cooling systems District heating Geothermal energy Geothermal heating Groundwater Metal recovery Recovery Waste heat Water quality N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 18666280 SP - 6783-6795 ST - Geothermal heat recovery from abandoned mines: a systematic review of projects implemented worldwide and a methodology for screening new projects T2 - Environmental Earth Sciences TI - Geothermal heat recovery from abandoned mines: a systematic review of projects implemented worldwide and a methodology for screening new projects UR - http://dx.doi.org/10.1007/s12665-015-4285-y VL - 73 ID - 1136 ER - TY - CONF AB - Over the last 4 years or so, unprecedented low river levels, combined with current loading conditions, have adversely contributed to more than 137 riverbank collapse-related incidents and a long term metastable condition along the Lower River Murray, which have recently been considered as the dominating factors inducing bank collapse. With high resolution aerial photographs and digital elevation models (DEMs), this study has established the riverbank geometry prior to collapse of 26 2-dimensional cross section models. Based on government inventories, the collapsed riverbank sections were identified and vectorized using visual interpretation under ArcGIS. In order to obtain appropriate soil parameters for the study area, 5 back analytical models have been conducted at collapsed riverbank sections adjacent to Long Island Marina, Murray Bridge, South Australia. The slope stability analysis software SVSlope was employed in the back-analysis with soil data obtained from two nearby site investigations. Factors of safety were calculated to examine the potential for riverbank collapse with respect to varying river levels. The results indicate that, when the river levels return to 0 to 0.5 m AHD, a portion of the riverbank is close to collapse, whereas a large proportion of the banks remain quasi stable. A raised and maintained high river level will improve the stability but to a limited extent. Several remedial works may need to be conducted when the river level is about to decrease. AU - Liang, C. AU - Jaksa, M. B. AU - Ostendorf, B. DA - 2012 KW - Geographic information systems Loading Rivers Slope stability N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Engineers Media PY - 2012 SN - 08189110 SP - 59-65 ST - Gis-based back analysis of riverbank instability in the lower river murray T3 - Australian Geomechanics Journal TI - Gis-based back analysis of riverbank instability in the lower river murray VL - 47 ID - 1052 ER - TY - JOUR AB - Objective To examine biomarkers of methylmercury (MeHg) intake in women and infants from seafood-consuming populations globally and characterize the comparative risk of fetal developmental neurotoxicity. Methods A search was conducted of the published literature reporting total mercury (Hg) in hair and blood in women and infants. These biomarkers are validated proxy measures of MeHg, a neurotoxin found primarily in seafood. Average and high-end biomarkers were extracted, stratified by seafood consumption context, and pooled by category. Medians for average and high-end pooled distributions were compared with the reference level established by a joint expert committee of the Food and Agriculture Organization (FAO) and the World Health Organization (WHO). Findings Selection criteria were met by 164 studies of women and infants from 43 countries. Pooled average biomarkers suggest an intake of MeHg several times over the FAO/WHO reference in fish-consuming riparians living near small-scale gold mining and well over the reference in consumers of marine mammals in Arctic regions. In coastal regions of south-eastern Asia, the western Pacific and the Mediterranean, average biomarkers approach the reference. Although the two former groups have a higher risk of neurotoxicity than the latter, coastal regions are home to the largest number at risk. High-end biomarkers across all categories indicate MeHg intake is in excess of the reference value. Conclusion There is a need for policies to reduce Hg exposure among women and infants and for surveillance in high-risk populations, the majority of which live in low-and middle-income countries. AN - 104061464. Language: English. Entry Date: 20140404. Revision Date: 20150710. Publication Type: Journal Article AU - Sheehan, Mary C. AU - Burke, Thomas A. AU - Navas-Acien, Ana AU - Breysse, Patrick N. AU - McGready, John AU - Fox, Mary A. DA - 2014/04// DB - c8h DO - 10.2471/BLT.12.116152 DP - EBSCOhost IS - 4 J2 - Bulletin of the World Health Organization KW - Adult Biological Markers -- Analysis Descriptive Statistics Environmental Exposure -- Adverse Effects -- In Infancy and Childhood Female Fetus Human Infant Infant Development Disorders -- Risk Factors Infant, Newborn Mercury -- Adverse Effects Pregnancy Seafood -- Adverse Effects -- In Pregnancy Systematic review N1 - research; systematic review; tables/charts. Journal Subset: Biomedical; Continental Europe; Europe; Peer Reviewed; Public Health. Special Interest: Evidence-Based Practice; Obstetric Care; Pediatric Care; Public Health; Women's Health. NLM UID: 7507052. PY - 2014 SN - 0042-9686 SP - 254-269F ST - Global methylmercury exposure from seafood consumption and risk of developmental neurotoxicity: a systematic review T2 - Bulletin of the World Health Organization TI - Global methylmercury exposure from seafood consumption and risk of developmental neurotoxicity: a systematic review UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=104061464&scope=site VL - 92 ID - 407 ER - TY - JOUR AB - To improve the aerodynamic performance and explore design guidelines for an exhaust hood, a robust and efficient design optimization and data mining method, which combines meta-based global optimization algorithm with a 3rd-order Bezier curve-based 3D parameterized method, Reynolds-Averaged Navier-Stokes (RANS) solver technique and data mining technique based on variance analysis, is proposed for the aerodynamic optimal design of an exhaust hood. By fully taking into account the interaction between the last turbine stage blades and exhaust hood, design optimization and knowledge discovery of a low-pressure exhaust hood are carried out for maximizing the static pressure recovery coefficient. The static pressure recovery coefficient of the optimal exhaust hood is improved from 0.165 to 0.516. The interactions among design variables and objective function are illustrated using the data mining technique combined with detailed aerodynamic analysis. The research results indicate that the diffuser outlet width, the outer hood width, the outer flow guider's height and the outer flow guider's outlet angle have significant effects on the performance of the exhaust hood. The proposed design optimization and data mining method for the exhaust hood provide a basis for the design of high-performance exhaust hood. 2015, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved. AU - Zhu, Peiyuan AU - Guo, Zhendong AU - Chen, Hongmei AU - Song, Liming AU - Li, Jun DA - 2015 DO - 10.7652/xjtuxb201511005 IS - 11 J2 - Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University KW - Aerodynamics Algorithms Curve fitting data mining Design Global optimization Navier Stokes equations Optimal systems Optimization Recovery Reynolds equation Turbomachine blades N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 0253987X SP - 26-32 ST - Global optimization of aerodynamic design and knowledge discovery method of an exhaust hood T2 - Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University TI - Global optimization of aerodynamic design and knowledge discovery method of an exhaust hood UR - http://dx.doi.org/10.7652/xjtuxb201511005 VL - 49 ID - 924 ER - TY - JOUR AB - BACKGROUND: Large-scale sequencing efforts produced millions of Expressed Sequence Tags (ESTs) collectively representing differentiated biochemical and functional states. Analysis of these EST libraries reveals differential gene expressions, and therefore EST data sets constitute valuable resources for comparative transcriptomics. To translate differentially expressed genes into a better understanding of the underlying biological phenomena, existing microarray analysis approaches usually involve the integration of gene expression with Gene Ontology (GO) databases to derive comparable functional profiles. However, methods are not available yet to process EST-derived transcription maps to enable AU - Chen, Zuozhou AU - Wang, Weilin AU - Ling, Xuefeng Bruce AU - Liu, Jane Jijun AU - Chen, Liangbiao DA - 2006 DO - 10.1186/1471-2105-7-72 J2 - BMC Bioinformatics KW - *Databases, Protein *Expressed Sequence Tags *Software Animals Chromosome Mapping/*methods Gene Expression Profiling/methods Genetics Information Storage and Retrieval/*methods Mice natural language processing Oligonucleotide Array Sequence Analysis/methods Proteome/genetics/*metabolism Transcription Factors/*genetics L1 - internal-pdf://2542116722/Chen-2006-GO-Diff_ mining functional different.pdf LA - eng PY - 2006 SN - 1471-2105 1471-2105 SP - 72 ST - GO-Diff: mining functional differentiation between EST-based transcriptomes T2 - BMC bioinformatics TI - GO-Diff: mining functional differentiation between EST-based transcriptomes UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1388240/pdf/1471-2105-7-72.pdf VL - 7 ID - 325 ER - TY - JOUR AB - "Omic" strategies have been increasingly applied to natural product discovery processes, with (meta-)genome sequencing and mining implemented in many laboratories to date. Using the proteomics-based discovery platform called PrISM (Proteomic Investigation of Secondary Metabolism), we discovered two new siderophores gobichelin A and B from Streptomyces sp. NRRL F-4415, a strain without a sequenced genome. Using the proteomics information as a guide, the 37 kb gene cluster responsible for production of gobichelins was sequenced and its 20 open reading frames interpreted into a biosynthetic scheme. This led to the targeted detection and structure elucidation of the new compounds produced by nonribosomal peptide (NRP) synthesis. AU - Chen, Yunqiu AU - Unger, Michelle AU - Ntai, Ioanna AU - McClure, Ryan A. AU - Albright, Jessica C. AU - Thomson, Regan J. AU - Kelleher, Neil L. DA - 2013/01/01/ DO - 10.1039/C2MD20232H IS - 1 J2 - Medchemcomm L1 - internal-pdf://1943003493/Chen-2013-Gobichelin A and B_ Mixed-Ligand Sid.pdf LA - Eng PY - 2013 SN - 2040-2503 2040-2503 SP - 233-238 ST - Gobichelin A and B: Mixed-Ligand Siderophores Discovered Using Proteomics T2 - MedChemComm TI - Gobichelin A and B: Mixed-Ligand Siderophores Discovered Using Proteomics UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547389/pdf/nihms-415250.pdf VL - 4 ID - 377 ER - TY - JOUR AB - This article reports findings from a scoping review of the literature on good practice in social care for disabled adults and older people with severe and complex needs. Scoping reviews differ from systematic reviews, in that they aim to rapidly map relevant literature across an area of interest. This review formed part of a larger study to identify social care service models with characteristics desired by people with severe and complex needs and scope the evidence of effectiveness. Systematic database searches were conducted for literature published between January 1997 and February 2011 on good practice in UK social care services for three exemplar groups: young adults with life-limiting conditions; adults who had suffered a brain injury or spinal injury and had severe or complex needs; and older people with dementia and complex needs. Five thousand and ninety-eight potentially relevant records were identified through electronic searching and 51 by hand. Eighty-six papers were selected for inclusion, from which 29 studies of specific services were identified. However, only four of these evaluated a service model against a comparison group and only six reported any evidence of costs. Thirty-five papers advocated person-centred support for people with complex needs, but no well-supported evaluation evidence was found in favour of any particular approach to delivering this. The strongest evaluation evidence indicated the effectiveness of a multidisciplinary specialist team for young adults; intensive case management for older people with advanced dementia; a specialist social worker with a budget for domiciliary care working with psycho-geriatric inpatients; and interprofessional training for community mental health professionals. The dearth of robust evaluation evidence identified through this review points to an urgent need for more rigorous evaluation of models of social care for disabled adults and older people with severe and complex needs. AN - 104061502. Language: English. Entry Date: 20140402. Revision Date: 20150820. Publication Type: Journal Article AU - Gridley, Kate AU - Brooks, Jenni AU - Glendinning, Caroline DA - 2014/05// DB - c8h DO - 10.1111/hsc.12063 DP - EBSCOhost IS - 3 J2 - Health & Social Care in the Community KW - Adult Aged data mining Disabled -- In Adulthood Embase Funding Source Human Medline Multidisciplinary Care Team National Health Programs -- United Kingdom Professional-Patient Relations Psycinfo quality assessment Quality Assurance Social Work -- In Old Age Systematic review United Kingdom L1 - internal-pdf://1237979969/Gridley-2014-Good practice in social care for.pdf N1 - research; systematic review; tables/charts. Journal Subset: Allied Health; Core Nursing; Europe; Nursing; Peer Reviewed; UK & Ireland. Special Interest: Evidence-Based Practice; Gerontologic Care; Quality Assurance; Social Work. Grant Information: NIHR School for Social Care Research (SSCR). NLM UID: 9306359. PY - 2014 SN - 0966-0410 SP - 234-248 ST - Good practice in social care for disabled adults and older people with severe and complex needs: evidence from a scoping review T2 - Health & Social Care in the Community TI - Good practice in social care for disabled adults and older people with severe and complex needs: evidence from a scoping review UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=104061502&scope=site http://onlinelibrary.wiley.com/store/10.1111/hsc.12063/asset/hsc12063.pdf?v=1&t=itisnp2m&s=636df7c8d298efefd4c72aee60a89f00aadd4da6 VL - 22 ID - 392 ER - TY - JOUR AB - BACKGROUND: Recent research indicates a high recall in Google Scholar searches for systematic reviews. These reports raised high expectations of Google Scholar as a unified and easy to use search interface. However, studies on the coverage of Google Scholar rarely used the search interface in a realistic approach but instead merely checked for the existence of gold standard references. In addition, the severe limitations of the Google Search interface must be taken into consideration when comparing with professional literature retrieval tools.The objectives of this work are to measure the relative recall and precision of searches with Google Scholar under conditions which are derived from structured search procedures conventional in scientific literature retrieval; and to provide an overview of current advantages and disadvantages of the Google Scholar search interface in scientific literature retrieval. METHODS: General and AU - Boeker, Martin AU - Vach, Werner AU - Motschall, Edith DA - 2013 DO - 10.1186/1471-2288-13-131 J2 - BMC Med Res Methodol KW - Abstracting and Indexing as Topic Algorithms Data Mining/methods Humans Internet Medline Review Literature as Topic Search Engine/*standards L1 - internal-pdf://1782280524/Boeker-2013-Google Scholar as replacement for.pdf LA - eng PY - 2013 SN - 1471-2288 1471-2288 SP - 131 ST - Google Scholar as replacement for systematic literature searches: good relative recall and precision are not enough T2 - BMC medical research methodology TI - Google Scholar as replacement for systematic literature searches: good relative recall and precision are not enough UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840556/pdf/1471-2288-13-131.pdf VL - 13 ID - 208 ER - TY - CONF AB - Genetic Programming is an evolutionary soft computing approach. Data streams are the order of the day input sources. In general, data streams exhibit a peculiar behavior of drifting the concepts as time passes by. Here is a study of GP Classifier on Concept Drifting Data Streams. GP classifier performance is compared to that of other state-of-the-art data mining and stream classification approaches. Boosting is a machine learning meta-algorithm for performing supervised learning. A weak learner is defined to be a classifier which is only slightly correlated with the true classification. In contrast, a strong learner is a classifier that is arbitrarily well-correlated with the true classification. Boosting combines a set of weak learners to create a strong learner. It is observed that the Boosting GP approach is beating Boosting Naive Bayes classification on Concept Drifting Data Streams. Hence it is found that GP is a competent algorithm for Concept Drifting Data Stream classification. 2012 Springer-Verlag GmbH Berlin Heidelberg. AU - Nagendra Kumar, Dirisala J. AU - Murthy, J. V. R. AU - Satapathy, Suresh Chandra AU - Pullela, S. V. V. S. R. Kumar C3 - 1st International Conference on Information Systems Design and Intelligent Applications, INDIA 2012, January 5, 2012 - January 7, 2012 DA - 2012 DO - 10.1007/978-3-642-27443-5-30 KW - Adaptive boosting Classification (of information) Data communication systems data mining Genetic algorithms Genetic programming Information systems Soft computing Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2012 SN - 18675662 SP - 265-272 ST - GP boosting classification on concept drifting data streams T3 - Advances in Intelligent and Soft Computing TI - GP boosting classification on concept drifting data streams UR - http://dx.doi.org/10.1007/978-3-642-27443-5-30 VL - 132 AISC ID - 1110 ER - TY - CONF AB - With the development of next-generation sequencing and metagenomic technologies, the number of metagenomic samples of microbial communities is increasing with exponential speed. The comparison among metagenomic samples could facilitate the data mining of the valuable yet hidden biological information held in the massive metagenomic data. However, current methods for metagenomic comparison are limited by their ability to process very large number of samples each with large data size. In this work, we have developed an optimized GPU-based metagenomic comparison algorithm, GPU-Meta-Storms, to evaluate the quantitative phylogenetic similarity among massive metagenomic samples, and implemented it using CUDA (Compute Unified Device Architecture) and C++ programming. The GPU-Meta-Storms program is optimized for CUDA with non-recursive transform, register recycle, memory alignment and so on. Our results have shown that with the optimization of the phylogenetic comparison algorithm, memory accessing strategy and parallelization mechanism on many-core hardware architecture, GPU-Meta-Storms could compute the pair-wise similarity matrix for 1920 metagenomic samples in 4 minutes, which gained a speed-up of more than 1000 times compared to CPU version Meta-Storms on single-core CPU, and more than 100 times on 16-core CPU. Therefore, the high-performance of GPU-Meta-Storms in comparison with massive metagenomic samples could thus enable in-depth data mining from massive metagenomic data, and make the real-time analysis and monitoring of constantly-changing metagenomic samples possible. 2013 IEEE. AU - Su, Xiaoquan AU - Wang, Xuetao AU - Xu, Jian AU - Ning, Kang C3 - 2013 7th International Conference on Systems Biology, ISB 2013, August 23, 2013 - August 25, 2013 DA - 2013 DO - 10.1109/ISB.2013.6623796 KW - Algorithms Computer architecture data mining Microorganisms Optimization Parallel architectures Storms N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2013 SN - 23250704 SP - 69-74 ST - GPU-Meta-Storms: Computing the similarities among massive microbial communities using GPU T3 - International Conference on Systems Biology, ISB TI - GPU-Meta-Storms: Computing the similarities among massive microbial communities using GPU UR - http://dx.doi.org/10.1109/ISB.2013.6623796 ID - 1559 ER - TY - JOUR AB - Over the past decade metamodels, also known as surrogate models, based on non-uniform rational B-splines (NURBs) have been developed. These metamodels exhibit unique properties that enable a wide range of computationally efficient analyses. Thus far, the analysis of these metamodels has been of a geometric nature, but in this article an approach based on graph theory is used. The properties of NURBs enable the interpretation of NURBs-based metamodels as graphs, and enable the demonstration of several analyses based on this structure. The general case of an analytically defined continuous-variable problem is given in the first example. A specific application in the field of robotic path planning constitutes the second example. Finally, an observation on the current state of this research, its merits and drawbacks, and an outline of future efforts that may increase its utility is provided. 2014 2014 Taylor & Francis. AU - Steuben, John C. AU - Turner, Cameron J. DA - 2015 DO - 10.1080/0305215X.2014.954565 IS - 9 J2 - Engineering Optimization KW - Graph theory Interpolation Motion planning Numerical control systems Optimization Robot programming Robustness (control systems) Ship propellers Splines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 0305215X SP - 1157-1176 ST - Graph analysis of non-uniform rational B-spline-based metamodels T2 - Engineering Optimization TI - Graph analysis of non-uniform rational B-spline-based metamodels UR - http://dx.doi.org/10.1080/0305215X.2014.954565 VL - 47 ID - 1284 ER - TY - CONF AB - This paper presents a Graph clustering method for identifying functionally similar key concepts for meta-analysis of brain imaging studies. We use an existing database of key concepts created by a large-scale automated text mining of brain imaging studies. The key concepts here refer to specific psychological terms of interest (for instance, 'decision', 'memory' etc) identified based on their frequency of occurrence (1 in 1,000 words) in an individual article text of 5809 studies. The pair-wise distance between all 525 nodes was calculated using the Jaccard metric. A graph was created with 525 nodes representing the key concepts. An undirected edge was drawn from every node to the node with minimum distance. We present a clustering approach using a simple graph traversal to identify connected components so that every node belongs to exactly one cluster. The results from our clustering method reveal semantically related concepts confirming potential for further use in text-mining approaches for metaanalysis of brain imaging studies. 2015 ACM. AU - Chawla, Manisha AU - Mesa, Mounika AU - Miyapuram, Krishna P. C3 - 3rd International Symposium on Women in Computing and Informatics, WCI 2015, August 10, 2015 - August 13, 2015 DA - 2015 DO - 10.1145/2791405.2791490 KW - Brain Mapping Cluster Analysis Computation theory data mining Graph theory INFORMATION science neuroimaging N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2015 SP - 163-168 ST - Graph clustering for large-scale text-mining of brain imaging studies T3 - ACM International Conference Proceeding Series TI - Graph clustering for large-scale text-mining of brain imaging studies UR - http://dx.doi.org/10.1145/2791405.2791490 http://dl.acm.org/citation.cfm?doid=2791405.2791490 VL - 10-13-August-2015 ID - 1855 ER - TY - JOUR AB - Background: The assembly of Next Generation Sequencing (NGS) reads remains a challenging task. This is especially true for the assembly of metagenomics data that originate from environmental samples potentially containing hundreds to thousands of unique species. The principle objective of current assembly tools is to assemble NGS reads into contiguous stretches of sequence called contigs while maximizing for both accuracy and contig length. The end goal of this process is to produce longer contigs with the major focus being on assembly only. Sequence read assembly is an aggregative process, during which read overlap relationship information is lost as reads are merged into longer sequences or contigs. The assembly graph is information rich and capable of capturing the genomic architecture of an input read data set. We have developed a novel hybrid graph in which nodes represent sequence regions at different levels of granularity. This model, utilized in the assembly and analysis pipeline Focus, presents a concise yet feature rich view of a given input data set, allowing for the extraction of biologically relevant graph structures for graph mining purposes. Results: Focus was used to create hybrid graphs to model metagenomics data sets obtained from the gut microbiomes of five individuals with Crohn's disease and eight healthy individuals. Repetitive and mobile genetic elements are found to be associated with hybrid graph structure. Using graph mining techniques, a comparative study of the Crohn's disease and healthy data sets was conducted with focus on antibiotics resistance genes associated with transposase genes. Results demonstrated significant differences in the phylogenetic distribution of categories of antibiotics resistance genes in the healthy and diseased patients. Focus was also evaluated as a pure assembly tool and produced excellent results when compared against the Meta-velvet, Omega, and UD-IDBA assemblers. Conclusions: Mining the hybrid graph can reveal biological phenomena captured by its structure. We demonstrate the advantages of considering assembly graphs as data-mining support in addition to their role as frameworks for assembly. AU - Warnke-Sommer, Julia AU - Ali, Hesham DA - 2016/05/06/ DO - 10.1186/s12864-016-2678-2 PY - 2016 SN - 1471-2164 SP - 340 ST - Graph mining for next generation sequencing: leveraging the assembly graph for biological insights T2 - Bmc Genomics TI - Graph mining for next generation sequencing: leveraging the assembly graph for biological insights VL - 17 ID - 2068 ER - TY - CONF AB - A number of real-world networks are heterogeneous information networks, which are composed of different types of nodes and links. Numerical prediction in heterogeneous information networks is a challenging but significant area because network based information for unlabeled objects is usually limited to make precise estimations. In this paper, we consider a graph regularized meta-path based transductive regression model (Grempt), which combines the principal philosophies of typical graph-based transductive classification methods and transductive regression models designed for homogeneous networks. The computation of our method is time and space efficient and the precision of our model can be verified by numerical experiments. Copyright SIAM. AU - Wan, Mengting AU - Ouyang, Yunbo AU - Kaplan, Lance AU - Han, Jiawei C3 - SIAM International Conference on Data Mining 2015, SDM 2015, April 30, 2015 - May 2, 2015 DA - 2015 KW - data mining Graphic methods Graph theory Information services Numerical methods Philosophical aspects Regression Analysis Space division multiple access N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Society for Industrial and Applied Mathematics Publications PY - 2015 SP - 918-926 ST - Graph regularized meta-path based transductive regression in heterogeneous information network T3 - SIAM International Conference on Data Mining 2015, SDM 2015 TI - Graph regularized meta-path based transductive regression in heterogeneous information network ID - 1674 ER - TY - JOUR AB - Meta-learning is becoming more and more important in current and future research concentrated around broadly defined data mining or computational intelligence. It can solve problems that cannot be solved by any single, specialized algorithm. The overall characteristic of each meta-learning algorithm mainly depends on two elements: the learning machine space and the supervisory procedure. The former restricts the space of all possible learning machines to a subspace to be browsed by a meta-learning algorithm. The latter determines the order of selected learning machines with a module responsible for machine complexity evaluation, organizes tests and performs analysis of results. In this article we present a framework for meta-learning search that can be seen as a method of sophisticated description and evaluation of functional search spaces of learning machine configurations used in meta-learning. Machine spaces will be defined by specially defined graphs where vertices are specialized machine configuration generators. By using such graphs the learning machine space may be modeled in a much more flexible way, depending on the characteristics of the problem considered and a priori knowledge. The presented method of search space description is used together with an advanced algorithm which orders test tasks according to their complexities. AU - Jankowski, Norbert DA - 2012 DO - 10.2478/v10006-012-0049-y IS - 3 J2 - International Journal of Applied Mathematics and Computer Science KW - artificial intelligence data mining Learning algorithms Learning systems L1 - internal-pdf://3177105579/Jankowski-2012-Graph-based generation of a met.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 1641876X SP - 647-667 ST - Graph-based generation of a meta-learning search space T2 - International Journal of Applied Mathematics and Computer Science TI - Graph-based generation of a meta-learning search space UR - http://dx.doi.org/10.2478/v10006-012-0049-y http://www.degruyter.com/downloadpdf/j/amcs.2012.22.issue-3/v10006-012-0049-y/v10006-012-0049-y.xml VL - 22 ID - 1684 ER - TY - JOUR AB - Gas sensors can detect combustible, explosive and toxic gases, and have been widely used in safety monitoring and process control in residential buildings, industries and mines. Recently, graphene-based hybrids were widely investigated as chemiresistive gas sensors with high sensitivity and selectivity. This systematic review is therefore timely and necessary to evaluate the success of graphene-based hybrids in gas detection and to identify their challenges. We review the sensing principles and the synthesis process of the graphene-based hybrids with noble metals, metal oxides and conducting polymers to achieve better understanding and design of novel gas sensors. Our review will assist researchers to understand the evolution and the challenges of graphene-based hybrids, and create interest in development of gas-sensing techniques. 2015 Elsevier B.V. AU - Meng, Fan-Li AU - Guo, Zheng AU - Huang, Xing-Jiu DA - 2015 DO - 10.1016/j.trac.2015.02.008 J2 - TrAC - Trends in Analytical Chemistry KW - Accident prevention Chemical sensors Conducting polymers Explosives detection Gas detectors Gases Gas sensing electrodes Graphene Inert gases Metals Nanocomposites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 01659936 SP - 37-47 ST - Graphene-based hybrids for chemiresistive gas sensors T2 - TrAC - Trends in Analytical Chemistry TI - Graphene-based hybrids for chemiresistive gas sensors UR - http://dx.doi.org/10.1016/j.trac.2015.02.008 VL - 68 ID - 486 ER - TY - JOUR AB - The Informatics Visualization for Neuroimaging (INVIZIAN) framework allows one to graphically display image and meta-data information from sizeable collections of neuroimaging data as a whole using a dynamic and compelling user interface. Users can fluidly interact with an entire collection of cortical surfaces using only their mouse. In addition, users can cluster and group brains according in multiple ways for subsequent comparison using graphical data mining tools. In this article, we illustrate the utility of INVIZIAN for simultaneous exploration and mining a large collection of extracted cortical surface data arising in clinical neuroimaging studies of patients with Alzheimer's Disease, mild cognitive impairment, as well as healthy control subjects. Alzheimer's Disease is particularly interesting due to the wide-spread effects on cortical architecture and alterations of volume in specific brain areas associated with memory. We demonstrate INVIZIAN's ability to render multiple brain surfaces from multiple diagnostic groups of subjects, showcase the interactivity of the system, and showcase how INVIZIAN can be employed to generate hypotheses about the collection of data which would be suitable for direct access to the underlying raw data and subsequent formal statistical analysis. Specifically, we use INVIZIAN show how cortical thickness and hippocampal volume differences between group are evident even in the absence of more formal hypothesis testing. In the context of neurological diseases linked to brain aging such as AD, INVIZIAN provides a unique means for considering the entirety of whole brain datasets, look for interesting relationships among them, and thereby derive new ideas for further research and study. AU - Van Horn, John Darrell AU - Bowman, Ian AU - Joshi, Shantanu H. AU - Greer, Vaughan DA - 2014/06// DO - 10.1007/s11682-013-9273-9 IS - 2 PY - 2014 SN - 1931-7557 SP - 300-310 ST - Graphical neuroimaging informatics: Application to Alzheimer's disease T2 - Brain Imaging and Behavior TI - Graphical neuroimaging informatics: Application to Alzheimer's disease VL - 8 ID - 2122 ER - TY - JOUR AB - Feature subset selection is a key problem in the data-mining classification task that helps to obtain more compact and understandable models without degrading (or even improving) their performance. In this work we focus on FSS in high-dimensional datasets, that is, with a very large number of predictive attributes. In this case, standard sophisticated wrapper algorithms cannot be applied because of their complexity, and computationally lighter filter-wrapper algorithms have recently been proposed. In this work we propose a stochastic algorithm based on the GRASP meta-heuristic, with the main goal of speeding up the feature subset selection process, basically by reducing the number of wrapper evaluations to carry out. GRASP is a multi-start constructive method which constructs a solution in its first stage, and then runs an improving stage over that solution. Several instances of the proposed GRASP method are experimentally tested and compared with state-of-the-art algorithms over 12 high-dimensional datasets. The statistical analysis of the results shows that our proposal is comparable in accuracy and cardinality of the selected subset to previous algorithms, but requires significantly fewer evaluations. [All rights reserved Elsevier]. AU - Bermejo, P. AU - Gamez, J. A. AU - Puerta, J. M. DA - 2011/04/01/ DO - 10.1016/j.patrec.2010.12.016 IS - 5 J2 - Pattern Recognition Letters KW - data mining greedy algorithms randomised algorithms search problems Set theory L1 - internal-pdf://4172670838/Bermejo-2011-A GRASP algorithm for fast hybrid.pdf PY - 2011 SN - 0167-8655 SP - 701-11 ST - A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets T2 - Pattern Recognition Letters TI - A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets UR - http://dx.doi.org/10.1016/j.patrec.2010.12.016 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0167865510004137/1-s2.0-S0167865510004137-main.pdf?_tid=e9896430-832d-11e6-a1ad-00000aab0f26&acdnat=1474814569_00c702938a5ff65492f0e865b7c797b9 VL - 32 ID - 1267 ER - TY - CONF AB - We are interested in ensembles of models built over k data sets. Common approaches are either to combine models by vote averaging, or to build a meta-model on the outputs of the local models. In this paper, we consider the model assignment approach, in which a meta-model selects one of the local statistical models for scoring. We introduce an algorithm called greedy data labeling (GDL) that improves the initial data partition by reallocating some data, so that when each model is built on its local data subset, the resulting hierarchical system has minimal error. We present evidence that model assignment may in certain situations be more natural than traditional ensemble learning, and if enhanced by GDL, it often outperforms traditional ensembles. AU - Turinsky, A. L. AU - Grossman, R. L. C3 - Fourth IEEE International Conference on Data Mining, 1-4 Nov. 2004 DA - 2004 KW - data mining greedy algorithms statistical analysis PB - IEEE Comput. Soc. PY - 2004 SP - 547-50 ST - A greedy algorithm for selecting models in ensembles T3 - Fourth IEEE International Conference on Data Mining TI - A greedy algorithm for selecting models in ensembles ID - 1271 ER - TY - JOUR AB - Transcriptomic technologies have a critical impact in the revolutionary changes that reshape biological research. Through the recruitment of novel high-throughput instrumentation and advanced computational methodologies, an unprecedented wealth of quantitative data is produced. Microarray experiments are considered high-throughput, both in terms of data volumes (data intensive) and processing complexity (computationally intensive). In this paper, we present grids for in silico systems biology and medicine (GRISSOM), a web-based application that exploits GRID infrastructures for distributed data processing and management, of DNA microarrays (cDNA, Affymetrix, Illumina) through a generic, consistent, computational analysis framework. GRISSOM performs versatile annotation and integrative analysis tasks, through the use of third-party application programming interfaces, delivered as web services. In parallel, by conforming to service-oriented architectures, it can be encapsulated in other biomedical processing workflows, with the help of workflow enacting software, like Taverna Workbench, thus rendering access to its algorithms, transparent and generic. GRISSOM aims to set a generic paradigm of efficient metamining that promotes translational research in biomedicine, through the fusion of grid and semantic web computing technologies. AU - Chatziioannou, A. A. AU - Kanaris, I. AU - Doukas, C. AU - Moulos, P. AU - Kolisis, F. N. AU - Maglogiannis, I. DA - 2011/01// DO - 10.1109/TITB.2010.2092784 IS - 1 J2 - IEEE Transactions on Information Technology in Biomedicine KW - biological techniques biology computing data analysis data mining Grid computing medical computing meta data Semantic Web PY - 2011 SN - 1089-7771 SP - 83-92 ST - GRISSOM Platform: Enabling Distributed Processing and Management of Biological Data Through Fusion of Grid and Web Technologies T2 - IEEE Transactions on Information Technology in Biomedicine TI - GRISSOM Platform: Enabling Distributed Processing and Management of Biological Data Through Fusion of Grid and Web Technologies UR - http://dx.doi.org/10.1109/TITB.2010.2092784 VL - 15 ID - 1196 ER - TY - JOUR AU - Bosch-Capblanch, Xavier AU - Lavis, John N. AU - Lewin, Simon AU - Atun, Rifat AU - Røttingen, John-Arne AU - Dröschel, Daniel AU - Beck, Lise AU - Abalos, Edgardo AU - El-Jardali, Fadi AU - Gilson, Lucy AU - others DA - 2012 DP - Google Scholar IS - 3 L1 - internal-pdf://1927495994/Bosch-Capblanch-2012-Guidance for evidence-inf.pdf PY - 2012 SP - e1001185 ST - Guidance for evidence-informed policies about health systems T2 - PLoS Med TI - Guidance for evidence-informed policies about health systems: rationale for and challenges of guidance development UR - http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001185 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3295823/pdf/pmed.1001185.pdf VL - 9 Y2 - 2016/09/24/15:41:08 ID - 2394 ER - TY - JOUR AU - Okoli, Chitu AU - Schabram, Kira DA - 2010 DP - Google Scholar PY - 2010 SP - 26 ST - A guide to conducting a systematic literature review of information systems research T2 - Sprouts Work. Pap. Inf. Syst TI - A guide to conducting a systematic literature review of information systems research UR - http://www.academia.edu/download/3250666/OkoliSchabram2010SproutsLitReviewGuide.pdf VL - 10 Y2 - 2016/09/24/16:09:17 ID - 2458 ER - TY - JOUR AU - Pullin, Andrew S. AU - Stewart, Gavin B. DA - 2006 DP - Google Scholar IS - 6 L1 - https://www.researchgate.net/profile/Gavin_Stewart6/publication/6618138_Guidelines_for_Systematic_Review_in_Environmental_Management/links/550fe3600cf2752610a16871.pdf PY - 2006 SP - 1647-1656 ST - Guidelines for systematic review in conservation and environmental management T2 - Conservation biology TI - Guidelines for systematic review in conservation and environmental management UR - http://onlinelibrary.wiley.com/doi/10.1111/j.1523-1739.2006.00485.x/full VL - 20 Y2 - 2016/09/24/15:37:30 ID - 2362 ER - TY - JOUR AB - We conducted data-mining analyses using the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) and molecular genetics of schizophrenia genome-wide association study supported by the genetic association information network (MGS-GAIN) schizophrenia data sets and performed bioinformatic prioritization for all the markers with P-values Compilation and indexing terms, Copyright 2016 Elsevier Inc. PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2007 SP - 491-498 ST - Handwritten digit recognition - Road to contest victory T3 - Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007 TI - Handwritten digit recognition - Road to contest victory UR - http://dx.doi.org/10.1109/CIDM.2007.368915 ID - 1111 ER - TY - JOUR AB - More than 90% of common variants associated with complex traits do not affect proteins directly, but instead the circuits that control gene expression. This has increased the urgency of understanding the regulatory genome as a key component for translating genetic results into mechanistic insights and ultimately therapeutics. To address this challenge, we developed HaploReg (http://compbio.mit.edu/HaploReg) to aid the functional dissection of genome-wide association study (GWAS) results, the prediction of putative causal variants in haplotype blocks, the prediction of likely cell types of action, and the prediction of candidate target genes by systematic mining of comparative, epigenomic and regulatory annotations. Since first launching the website in 2011, we have greatly expanded HaploReg, increasing the number of chromatin state maps to 127 reference epigenomes from ENCODE 2012 and Roadmap Epigenomics, incorporating regulator binding data, expanding regulatory motif disruption annotations, and integrating expression quantitative trait locus (eQTL) variants and their tissue-specific target genes from GTEx, Geuvadis, and other recent studies. We present these updates as HaploReg v4, and illustrate a use case of HaploReg for attention deficit hyperactivity disorder (ADHD)-associated SNPs with putative brain regulatory mechanisms. AU - Ward, Lucas D. AU - Kellis, Manolis DA - 2016/01/04/ DO - 10.1093/nar/gkv1340 IS - D1 PY - 2016 SN - 0305-1048 SP - D877-D881 ST - HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease T2 - Nucleic Acids Research TI - HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease VL - 44 ID - 2212 ER - TY - JOUR AB - Background: Genomewide association studies have resulted in a great many genomic regions that are likely to harbor disease genes. Thorough interrogation of these specific regions is the logical next step, including regional haplotype studies to identify risk haplotypes upon which the underlying critical variants lie. Pedigrees ascertained for disease can be powerful for genetic analysis due to the cases being enriched for genetic disease. Here we present a Monte Carlo based method to perform haplotype association analysis. Our method, hapMC, allows for the analysis of full-length and sub-haplotypes, including imputation of missing data, in resources of nuclear families, general pedigrees, case-control data or mixtures thereof. Both traditional association statistics and transmission/disequilibrium statistics can be performed. The method includes a phasing algorithm that can be used in large pedigrees and optional use of pseudocontrols. Results: Our new phasing algorithm substantially outperformed the standard expectation-maximization algorithm that is ignorant of pedigree structure, and hence is preferable for resources that include pedigree structure. Through simulation we show that our Monte Carlo procedure maintains the correct type 1 error rates for all resource types. Power comparisons suggest that transmission-disequilibrium statistics are superior for performing association in resources of only nuclear families. For mixed structure resources, however, the newly implemented pseudocontrol approach appears to be the best choice. Results also indicated the value of large high-risk pedigrees for association analysis, which, in the simulations considered, were comparable in power to case-control resources of the same sample size. Conclusions: We propose hapMC as a valuable new tool to perform haplotype association analyses, particularly for resources of mixed structure. The availability of meta-association and haplotype-mining modules in our suite of Monte Carlo haplotype procedures adds further value to the approach. AU - Abo, R. AU - Wong, J. AU - Thomas, A. AU - Camp, N. J. DA - 2010 DO - 10.1186/1471-2105-11-592 J2 - BMC Bioinformatics KW - bioinformatics biological techniques Genetics molecular biophysics Monte Carlo methods statistical analysis L1 - internal-pdf://0304089172/Abo-2010-Haplotype association analyses in res.pdf PY - 2010 SN - 1471-2105 SP - 592-(16 pp.) ST - Haplotype association analyses in resources of mixed structure using Monte Carlo testing T2 - BMC Bioinformatics TI - Haplotype association analyses in resources of mixed structure using Monte Carlo testing UR - http://dx.doi.org/10.1186/1471-2105-11-592 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3016409/pdf/1471-2105-11-592.pdf VL - 11 ID - 1645 ER - TY - JOUR AB - Fast and high quality document clustering is a crucial task in organizing information, search engine results, enhancing web crawling, and information retrieval or filtering. Recent studies have shown that the most commonly used partition-based clustering algorithm, the K-means algorithm, is more suitable for large datasets. However, the K-means algorithm can generate a local optimal solution. In this paper we propose a novel Harmony K-means Algorithm (HKA) that deals with document clustering based on Harmony Search (HS) optimization method. It is proved by means of finite Markov chain theory that the HKA converges to the global optimum. To demonstrate the effectiveness and speed of HKA, we have applied HKA algorithms on some standard datasets. We also compare the HKA with other meta-heuristic and model-based document clustering approaches. Experimental results reveal that the HKA algorithm converges to the best known optimum faster than other methods and the quality of clusters are comparable. 2008 Springer Science+Business Media, LLC. AU - Mahdavi, Mehrdad AU - Abolhassani, Hassan DA - 2009 DO - 10.1007/s10618-008-0123-0 IS - 3 J2 - Data Mining and Knowledge Discovery KW - Cluster Analysis Clustering algorithms Global optimization Heuristic methods information retrieval information retrieval systems Information services Markov processes Optimization Search Engines security of data N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 13845810 SP - 370-391 ST - Harmony K-means algorithm for document clustering T2 - Data Mining and Knowledge Discovery TI - Harmony K-means algorithm for document clustering UR - http://dx.doi.org/10.1007/s10618-008-0123-0 VL - 18 ID - 1008 ER - TY - CHAP A2 - Jain, L. C. A2 - Behera, H. S. A2 - Mandal, J. K. A2 - Mohapatra, D. P. AB - The Harmony Search (HS) algorithm is meta-heuristic optimization inspired by natural phenomena called musical process and it quite simple due to few mathematical requirements and simple steps as compared to earlier meta-heuristic optimization algorithms. It mimics the local and global search procedure of pitch adjustment during production of pleasant harmony by musicians. Although HS has been used in many application like vehicle routing problems, robotics, power and energy etc., in this paper, an attempt is made to design a hybrid FLANN with Harmony Search based Gradient Descent Learning for classification. The proposed algorithm has been compared with FLANN, GA based FLANN and PSO based FLANN classifier to get remarkable performance. All the four classifier are implemented in MATLAB and tested by couples of benchmark datasets from UCI machine learning repository. Finally, to get generalized performance, 5 fold cross validation is adopted and result are analyzed under one-way ANOVA test. AU - Naik, Bighnaraj AU - Nayak, Janmenjoy AU - Behera, H. S. AU - Abraham, Ajith PY - 2015 SN - 978-81-322-2208-8 978-81-322-2207-1 SP - 525-539 ST - A Harmony Search Based Gradient Descent Learning-FLANN (HS-GDL-FLANN) for Classification T2 - Computational Intelligence in Data Mining, Vol 2 TI - A Harmony Search Based Gradient Descent Learning-FLANN (HS-GDL-FLANN) for Classification VL - 32 ID - 2028 ER - TY - JOUR AB - Background: Mobile phone sensors can be used to develop context-aware systems that automatically detect when patients require assistance. Mobile phones can also provide ecological momentary interventions that deliver tailored assistance during problematic situations. However, such approaches have not yet been used to treat major depressive disorder. Objective: The purpose of this study was to investigate the technical feasibility, functional reliability, and patient satisfaction with Mobilyze!, a mobile phone-and Internet-based intervention including ecological momentary intervention and context sensing. Methods: We developed a mobile phone application and supporting architecture, in which machine learning models (ie, learners) predicted patients' mood, emotions, cognitive/motivational states, activities, environmental context, and social context based on at least 38 concurrent phone sensor values (eg, global positioning system, ambient light, recent calls). The website included feedback graphs illustrating correlations between patients' self-reported states, as well as didactics and tools teaching patients behavioral activation concepts. Brief telephone calls and emails with a clinician were used to promote adherence. We enrolled 8 adults with major depressive disorder in a single-arm pilot study to receive Mobilyze! and complete clinical assessments for 8 weeks. Results: Promising accuracy rates (60% to 91%) were achieved by learners predicting categorical contextual states (eg, location). For states rated on scales (eg, mood), predictive capability was poor. Participants were satisfied with the phone application and improved significantly on self-reported depressive symptoms (beta(week) = -.82, P<.001, per-protocol Cohen d = 3.43) and interview measures of depressive symptoms (beta(week) = -.81, P < .001, per-protocol Cohen d = 3.55). Participants also became less likely to meet criteria for major depressive disorder diagnosis (b(week) = -.65, P = .03, per-protocol remission rate = 85.71%). Comorbid anxiety symptoms also decreased (beta(week) = -.71, P < .001, per-protocol Cohen d = 2.58). Conclusions: Mobilyze! is a scalable, feasible intervention with preliminary evidence of efficacy. To our knowledge, it is the first ecological momentary intervention for unipolar depression, as well as one of the first attempts to use context sensing to identify mental health-related states. Several lessons learned regarding technical functionality, data mining, and software development process are discussed. AU - Burns, Michelle Nicole AU - Begale, Mark AU - Duffecy, Jennifer AU - Gergle, Darren AU - Karr, Chris J. AU - Giangrande, Emily AU - Mohr, David C. DA - 2011/09//JUL DO - 10.2196/jmir.1838 IS - 3 PY - 2011 SN - 1438-8871 SP - e55 ST - Harnessing Context Sensing to Develop a Mobile Intervention for Depression T2 - Journal of Medical Internet Research TI - Harnessing Context Sensing to Develop a Mobile Intervention for Depression VL - 13 ID - 2042 ER - TY - JOUR AB - Federated searching was considered to be the most important searching technique for information overload, but now a more sophisticated user searching approach ie. harvesting and information preprocessing is used. Presearch automated analysis utilizes computers to first classify objects and then discover and present previously uncovered links between descriptor elements. Automated data processing also allows analyzing and incorporating new data. Harvesting data and metadata is accomplished by automated agents which capture data from specific host platforms. AU - Stern, D. DA - 2009/07// IS - 4 J2 - Online KW - data analysis data mining meta data pattern classification search problems Software agents PY - 2009 SN - 0146-5422 SP - 35-7 ST - Harvesting power and opportunities beyond federated search T2 - Online TI - Harvesting power and opportunities beyond federated search VL - 33 ID - 1148 ER - TY - CONF AB - Ensembles of classifiers are among the best performing classifiers available in many data mining applications. However, most ensembles developed specifically for the dynamic data stream setting rely on only one type of base-level classifier, most often Hoeffding Trees. In this paper, we study the use of heterogeneous ensembles, comprised of fundamentally different model types. Heterogeneous ensembles have proven successful in the classical batch data setting, however they do not easily transfer to the data stream setting. We therefore introduce the Online Performance Estimation framework, which can be used in data stream ensembles to weight the votes of (heterogeneous) ensemble members differently across the stream. Experiments over a wide range of data streams show performance that is competitive with state of the art ensemble techniques, including Online Bagging and Leveraging Bagging. All experimental results from this work are easily reproducible and publicly available on OpenML for further analysis. 2015 IEEE. AU - Van Rijn, Jan N. AU - Holmes, Geoffrey AU - Pfahringer, Bernhard AU - Vanschoren, Joaquin C3 - 15th IEEE International Conference on Data Mining, ICDM 2015, November 14, 2015 - November 17, 2015 DA - 2016 DO - 10.1109/ICDM.2015.55 KW - Data communication systems data mining Trees (mathematics) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2016 SN - 15504786 SP - 1003-1008 ST - Having a blast: Meta-learning and heterogeneous ensembles for data streams T3 - Proceedings - IEEE International Conference on Data Mining, ICDM TI - Having a blast: Meta-learning and heterogeneous ensembles for data streams UR - http://dx.doi.org/10.1109/ICDM.2015.55 VL - 2016-January ID - 1673 ER - TY - CONF AB - Geological hazard exploration and prevention in Three Gorges Reservoir Area is a great systematic cause, which is based on the data from lots of reconnaissance engineering projects in short time. The engineering projects are carried out by dozens of engineering groups from different industries like geology, mine, hydrology and so on. To keep the certainty and coherence of original data and productive documentation from these groups, GeoHazard based on Geographic Information System is designed and developed to meet the demands from the basic working units and departments of data management. Directed with the theory of the point-source information system, GeoHazard has a thematic database of point-sources as its core, and support the full professional operation of hazard reconnaissance from data acquisition, to map drawing, together with other basic functions on management. It is featured with the standardization of terminology, code and metadata, integrated management of all types of data and documents, and visualized data analysis, query and presentation. AU - Yanping, Wen C3 - 2012 International Symposium on Geomatics for Integrated Water Resources Management (GIWRM), 19-21 Oct. 2012 DA - 2012 DO - 10.1109/GIWRM.2012.6349609 KW - cartography data acquisition data analysis data visualisation Geographic information systems geophysics computing hazards Information systems meta data query processing PB - IEEE PY - 2012 SP - 4-pp. ST - Hazard reconnaissance information system based on GIS T3 - 2012 International Symposium on Geomatics for Integrated Water Resources Management (GIWRM 2012) TI - Hazard reconnaissance information system based on GIS UR - http://dx.doi.org/10.1109/GIWRM.2012.6349609 ID - 706 ER - TY - CHAP A2 - Hovenga, E. J. S. A2 - Grain, H. AB - Health is a knowledge industry, based on data collected to support care, service planning, financing and knowledge advancement. Increasingly there is a need to collect, retrieve and use health record information in an electronic format to provide greater flexibility, as this enables retrieval and display of data in multiple locations and formats irrespective of where the data were collected. Electronically maintained records require greater structure and consistency to achieve this. The use of data held in records generated in real time in clinical systems also has the potential to reduce the time it takes to gain knowledge, as there is less need to collect research specific information, this is only possible if data governance principles are applied. Connected devices and information systems are now generating huge amounts of data, as never before seen. An ability to analyse and mine very large amounts of data, "Big Data", provides policy and decision makers with new insights into varied aspects of work and information flow and operational business patterns and trends, and drives greater efficiencies, and safer and more effective health care. This enables decision makers to apply rules and guidance that have been developed based upon knowledge from many individual patient records through recognition of triggers based upon that knowledge. In clinical decision support systems information about the individual is compared to rules based upon knowledge gained from accumulated information of many to provide guidance at appropriate times in the clinical process. To achieve this the data in the individual system, and the knowledge rules must be represented in a compatible and consistent manner. This chapter describes data attributes; explains the difference between data and information; outlines the requirements for quality data; shows the relevance of health data standards; and describes how data governance impacts representation of content in systems and the use of that information AU - Hovenga, Evelyn J. S. AU - Grain, Heather PY - 2013 SN - 978-1-61499-291-2 978-1-61499-290-5 SP - 67-92 ST - Health Data and Data Governance T2 - Health Information Governance in a Digital Environment TI - Health Data and Data Governance VL - 193 ID - 2262 ER - TY - JOUR AB - Epidemiological data support an increasing prevalence of lifestyle-related conditions globally. As established healthcare professionals, physical therapists are well positioned to be clinically competent in patient education to effect long-term lifestyle behaviour change, to improve health and physical therapy outcomes. A scoping systematic review was conducted to identify educational strategies used by physical therapists and their attributes to prevent, reverse and manage lifestyle-related conditions. Stringent search strategies of related databases and research mining identified eight source studies. Heterogeneity of the studies disallowed pooling of the results and meta-analysis. Attributes of commonly-reported educational strategies included: theories (e.g., transtheoretical model and 5A's approach); timing (e.g., pre- and post-assessments and follow-up); session structure (e.g., brief advice, one-on-one, group and telephone); technique (e.g., motivational prompts, individualised programmes and goal-setting); and delivery method (e.g., brochures, diaries, audiovisual or video, handouts and skills demonstrations). Educational strategies related to lifestyle-related conditions used by physical therapists and their attributes vary. Observational studies need to confirm these findings clinically. Also, the cost-effectiveness of the education strategies used by physical therapists and their attributes need to be evaluated. Such knowledge will enable physical therapists to effectively address lifestyle-related conditions as a health priority in patients, irrespective of their primary presenting problems. AN - 108025385. Language: English. Entry Date: 20130315. Revision Date: 20150820. Publication Type: Journal Article AU - Alexander, Julie AU - Bambury, Erin AU - Mendoza, Andrea AU - Reynolds, Jason AU - Veronneau, Rochelle AU - Dean, Elizabeth DA - 2012/06// DB - c8h DP - EBSCOhost IS - 2 J2 - Hong Kong Physiotherapy Journal KW - CINAHL Database Cochrane Library Computerized Literature Searching Embase Health Behavior Health Education Health Promotion Human Life Style Changes Pamphlets Patient Education Physical Therapy Physical Therapy Practice, Evidence-Based Professional Role Psycinfo PubMed Research Instruments Scales Systematic review L1 - internal-pdf://2639189051/Alexander-2012-Health education strategies use.pdf N1 - research; systematic review; tables/charts. Journal Subset: Allied Health; Asia; Double Blind Peer Reviewed; Editorial Board Reviewed; Expert Peer Reviewed; Peer Reviewed. Special Interest: Evidence-Based Practice; Physical Therapy. Instrumentation: PEDro Scale. NLM UID: 100908968. PY - 2012 SN - 1013-7025 SP - 57-75 ST - Health education strategies used by physical therapists to promote behaviour change in people with lifestyle-related conditions: a systematic review T2 - Hong Kong Physiotherapy Journal TI - Health education strategies used by physical therapists to promote behaviour change in people with lifestyle-related conditions: a systematic review UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=108025385&scope=site http://ac.els-cdn.com/S1013702512000280/1-s2.0-S1013702512000280-main.pdf?_tid=6dc79aac-832c-11e6-ba2d-00000aacb35e&acdnat=1474813932_3e21b85a519b9aa8c508b72ca3e2f57a VL - 30 ID - 402 ER - TY - JOUR AU - Krishna, Santosh AU - Boren, Suzanne Austin AU - Balas, E. Andrew DA - 2009 DP - Google Scholar IS - 3 L1 - internal-pdf://3331395915/Krishna-2009-Healthcare via cell phones_ a sys.pdf PY - 2009 SP - 231-240 ST - Healthcare via cell phones T2 - Telemedicine and e-Health TI - Healthcare via cell phones: a systematic review UR - http://online.liebertpub.com/doi/abs/10.1089/tmj.2008.0099 http://online.liebertpub.com.ezproxy.lib.vt.edu/doi/pdfplus/10.1089/tmj.2008.0099 VL - 15 Y2 - 2016/09/24/16:06:07 ID - 2421 ER - TY - CHAP AB - This is the protocol for a review and there is no abstract. The objectives are as follows: To assess the effects of heat acclimation interventions aimed at protecting health and performance from exertional heat stress. AU - Minett, Geoffrey M. AU - Skein, Melissa AU - Bieuzen, Francois AU - Stewart, Ian B. AU - Borg, David N. AU - Bach, Aaron J. E. AU - Costello, Joseph T. DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD012016/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2016 ST - Heat acclimation for protection from exertional heat stress T2 - Cochrane Database of Systematic Reviews TI - Heat acclimation for protection from exertional heat stress UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD012016/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD012016/full Y2 - 2016/09/18/20:15:38 ID - 432 ER - TY - CONF AB - Climatic events can substantially impair the viability of the animals' production, and the environmental control of broilers facilities improves the production with the reduction in yield losses caused by the heat stress. Our goal was to detect the environmental variables related to the losses of body weight gain (BWG) and the heat stress. This study was based on 52 scientific papers assessed by meta-analysis aiming at heat stress on broilers at 1 to 42 days of age. After meta-analysis examination, data were submitted to data mining techniques in order to obtain decision models for description and quantification of yield losses. The potential reduction of BWG was used as the predictive class. In addition, it was classified as "Appropriate Body Weight Gain" (ABWG, as expected by genetic strain), "Moderate Body Weight Gain" (MBWG, with 16% of reduction on BWG) and "Inappropriate Body Weight Gain" (IBWG, with 36.5% of reduction on BWG). The decision-tree highlighted the mean dry and wet bulb temperatures and the temperature-humidity index (THI) as classifiers with model accuracy of 71.3%. The potential reduction of BWG snowed as results 0.82, 0.77 and 0.78 of class precision for "IBWG", "MBWG" and "ABWG" classifications, respectively. With the meta-analysis, it was possible to evaluate which environmental variables affected the reduction on BWG in consequence of the heat stress. The mean values higher than 32deg;C for dry-bulb temperature, 25.5 or 25.7C for wet-bulb temperature and 23.3C for THI showed to be the threshold triggering within 36.5% in the potential reduction of BWG in broiler production. AU - Moura, D. J. AU - Vercellino, R. A. AU - Santos, J. P. A. AU - Vale, M. M. C3 - ASABE 1st Climate Change Symposium: Adaptation and Mitigation, May 3, 2015 - May 5, 2015 DA - 2015 KW - Animals Anthropometry Classification (of information) Climate change Cooling systems data mining decision trees Environmental engineering Environmental management Humidity control Poultry Thermal stress N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Society of Agricultural and Biological Engineers PY - 2015 SP - 124-126 ST - Heat stress impact on weight gain in broiler chickens: A meta-analytical study of environmental factor that impact production losses T3 - ASABE 1st Climate Change Symposium: Adaptation and Mitigation TI - Heat stress impact on weight gain in broiler chickens: A meta-analytical study of environmental factor that impact production losses ID - 1671 ER - TY - BOOK A3 - Cidu, R. AB - In the abandoned Bottino Pb-Zn-(Ag) mining district (Apuane Alps, Tuscany) the pedological, mineralogical and chemical features of four soil profiles, collected at variable distance from mining waste dumps, were investigated. The environmental impact of mining activity onto soils, plants and surficial waters in the mine area was evaluated by means of different analytical techniques. Sequential extraction analysis of soil samples pointed out that heavy metals are still bound to primary phases like sulphides (galena, sphalerite, etc.) and/or carbonates (siderite): this datum agrees well with observed textural and mineralogical features of mine dumps, showing minor alteration of metal-bearing phases, and the overall low heavy metal concentrations of stream waters. Some plants, however, grown onto, or in close proximity to, mine wastes, show heavy metal contents that exceed the phytotoxic limits. AU - Mascaro, I. AU - Benvenuti, M. AU - Corsini, F. AU - Costagliola, P. AU - Lascialfari, S. AU - Vaselli, O. AU - Tanelli, G. AU - Bini, C. AU - Gonnelli, C. AU - Gabbrielli, R. AU - Lattanzi, P. DA - 2001 PY - 2001 SN - 90-265-1824-2 ST - Heavy meta pollution of soils and plants at the Bottino Pb (Ag)-Zn mine of Bottino, Tuscany (Italy) TI - Heavy meta pollution of soils and plants at the Bottino Pb (Ag)-Zn mine of Bottino, Tuscany (Italy) ID - 2131 ER - TY - CONF AB - The objective of the study was meta-analysis of the soil pollution with heavy metals and related adverse health effects on exposed population in the Balkan's region. Heavy metals are naturally occurring elements, and are present in varying concentrations in all ecosystems. There are a huge number of heavy metals. They are found in elemental form and in a variety of other chemical compounds The main anthropogenic sources of heavy metals are various industrial processes, mining, foundries, smelters, combustion of fossil fuel and gasoline, and waste incinerators. The major heavy metals of concern to WHO and EMEP are Hg, Cd and Pb, because they are the most toxic and have known serious effects on e.g. human health. Soil contamination is a problem discussed as a degraded process which importance exceeds agricultural area. In 2007 CERCLA Priority List of Hazardous Substances-ATSDR has been ranked several heavy metals by their toxicity. In the paper were presented some results from Macedonia, Albania, Bulgaria, Serbia and Turkey. AU - Kochubovski, M. C3 - NATO Advanced Research Workshop on Environmental Heavy Metal Pollution and Effects on Child Mental Development - Risk Assessment and Prevention Strategies, 28 April-1 May 2010 DA - 2011 DO - 10.1007/978-94-007-0253-0_14 KW - Soil soil pollution PB - Springer Netherlands PY - 2011 SP - 227-43 ST - Heavy Metals as Persistent Problem for Balkan Countries T3 - NATO Advanced Research Workshop on Environmental Heavy Metal Pollution and Effects on Child Mental Development - Risk Assessment and Prevention Strategies. Proceedings TI - Heavy Metals as Persistent Problem for Balkan Countries UR - http://dx.doi.org/10.1007/978-94-007-0253-0_14 ID - 1498 ER - TY - JOUR AB - BACKGROUND AND AIMS: The Cochrane Hepato-Biliary Group (CHBG) is one of the 52 collaborative review groups within The Cochrane Collaboration. The activities of the CHBG focus on collecting hepato-biliary randomized clinical trials (RCT) and controlled clinical trials (CCT), and including them in systematic reviews with meta-analyses of the trials. In this overview, we present the growth of The CHBG Controlled Trials Register, as well as the systematic reviews that have been produced since March 1996. RESULTS: The CHBG register includes almost 11,000 RCT and 700 CCT publications. The earliest RCT in the register were published in 1955, and the earliest CCT in 1945. From 1945 to 1980, there were less than 100 publications each year. From 1981 to 1997, their number increased from over 100 to 600 a year. After 1997, the number of publications seems to have been decreasing. The CHBG has published 199 protocols for systematic reviews and 107 systematic reviews through to August 2009 in which 21% of the RCT and CCT were included. The CHBG reviews have been cited approximately 1200 times. CONCLUSIONS: A large amount of work has been carried out since 1996. However, there is still much to do, as the CHBG register contains a great number of RCT and CCT on topics that have not yet been systematically reviewed. AU - Klingenberg, Sarah Louise AU - Nikolova, Dimitrinka AU - Alexakis, Nicholas AU - Als-Nielsen, Bodil AU - Colli, Agostino AU - Conte, Dario AU - D'Amico, Gennaro AU - Davidson, Brian AU - Fingerhut, Abe AU - Fraquelli, Mirella AU - Gluud, Lise Lotte AU - Gurusamy, Kurinchi AU - Keus, Frederik AU - Khan, Saboor AU - Koretz, Ronald AU - van Laarhoven, Cornelis AU - Liu, Jianping AU - Myers, Robert AU - Pagliaro, Luigi AU - Simonetti, Rosa AU - Sutton, Robert AU - Thorlund, Kristian AU - Gluud, Christian DA - 2011/04//undefined DO - 10.1111/j.1440-1746.2010.06465.x IS - 4 J2 - J Gastroenterol Hepatol KW - *Bibliometrics *Controlled Clinical Trials as Topic *Databases, Bibliographic *Gastroenterology Access to Information Biliary Tract Diseases/diagnosis/*therapy data mining Evidence-Based Medicine Humans Liver Diseases/diagnosis/*therapy Randomized Controlled Trials as Topic Registries Treatment Outcome L1 - internal-pdf://3586349388/Klingenberg-2011-Hepato-biliary clinical trial.pdf LA - eng PY - 2011 SN - 1440-1746 0815-9319 SP - 649-656 ST - Hepato-biliary clinical trials and their inclusion in the Cochrane Hepato-Biliary Group register and reviews T2 - Journal of gastroenterology and hepatology TI - Hepato-biliary clinical trials and their inclusion in the Cochrane Hepato-Biliary Group register and reviews UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/j.1440-1746.2010.06465.x/asset/j.1440-1746.2010.06465.x.pdf?v=1&t=itiur8y4&s=2a7f299d7b75b026afaac490ad02bc7342a9073b VL - 26 ID - 171 ER - TY - JOUR AB - Despite their economic, ecological, and experimental importance, genomic resources remain scarce for crustaceans. In lieu of genomes, many researchers have taken advantage of technological advancements to instead sequence and assemble crustacean transcriptomes de novo However, there is little consensus on what standard operating procedures are, or should be, for the field. Here, we systematically reviewed 53 studies published during 2014-2015 that utilized transcriptomic resources from this taxonomic group in an effort to identify commonalities as well as potential weaknesses that have applicability beyond just crustaceans. In general, these studies utilized RNA-Seq data, both novel and publicly available, to characterize transcriptomes and/or identify differentially expressed genes (DEGs) between treatments. Although the software suite Trinity was popular in assembly pipelines and other programs were also commonly employed, many studies failed to report crucial details regarding bioinformatic methodologies, including read mappers and the utilized parameters in identifying and characterizing DEGs. Annotation percentages for assembled transcriptomic contigs were low, averaging 32% overall. While other metrics, such as numbers of contigs and DEGs reported, correlated with the number of sequence reads utilized per sample, these did reach apparent saturation with increasing sequencing depth. Most disturbingly, a number of studies (55%) reported DEGs based on non-replicated experimental designs and single biological replicates for each treatment. Given this, we suggest future RNA-Seq experiments targeting transcriptome characterization conduct deeper (i.e., 50-100 M reads) sequencing while those examining differential expression instead focus more on increased biological replicates at shallower (i.e., approximately 10-20 M reads/sample) sequencing depths. Moreover, the community must avoid submitting for review, or accepting for publication, non-replicated differential expression studies. Finally, mining the ever growing publicly available transcriptomic data from crustaceans will allow future studies to focus on hypothesis-driven research instead of continuing to simply characterize transcriptomes. As an example of this, we utilized neurotoxin sequences from the recently described remipede venom gland transcriptome in conjunction with publicly available crustacean transcriptomic data to derive preliminary results and hypotheses regarding the evolution of venom in crustaceans. AU - Havird, Justin C. AU - Santos, Scott R. DA - 2016/07/08/ DO - 10.1093/icb/icw061 J2 - Integr Comp Biol L1 - internal-pdf://0076277107/Havird-2016-Here We Are, But Where Do We Go_ A.pdf LA - Eng PY - 2016 SN - 1557-7023 1540-7063 ST - Here We Are, But Where Do We Go? A Systematic Review of Crustacean Transcriptomic Studies from 2014-2015 T2 - Integrative and comparative biology TI - Here We Are, But Where Do We Go? A Systematic Review of Crustacean Transcriptomic Studies from 2014-2015 UR - http://icb.oxfordjournals.org.ezproxy.lib.vt.edu/content/early/2016/07/25/icb.icw061.full.pdf ID - 148 ER - TY - CONF AB - Two aspects of group decision-making (GDM) have received much attention since its appearance, one is the organizing process of GDM which emphasizes in particular on behavioral science and qualitative analysis, and the other is the weight allocation and meta-synthesis of group preference focusing on the quantificational computation. Despite the abundant researches, the existing solutions do not take into account the dynamic change of group members' decision-making preference in the GDM process. This paper considers the preference change in GDM as a dynamical procedure, researches into the important hidden pattern in GDM process, and puts forward a GDM meta-synthesis method based on Markov Chain to mine the hidden information with both qualitative analysis and quantificational computations. AU - Huizhang, Shen AU - Jidi, Zhao AU - Huanchen, Wang C3 - Computational Science-ICCS 2007. 7th International Conference. Proceedings, Part IV, 27-30 May 2007 DA - 2007 KW - behavioural sciences computing decision making group decision support systems Markov processes PB - Springer PY - 2007 SP - 51-8 ST - A hidden pattern discovery and meta-synthesis of preference adjustment in group decision-making T3 - Computational Science-ICCS 2007. 7th International Conference. Proceedings, Part IV (Lecture Notes in Computer Science Vol.4490) TI - A hidden pattern discovery and meta-synthesis of preference adjustment in group decision-making ID - 1802 ER - TY - CONF AB - A hierarchical organization scheme to facilitate the access to astronomical databases in the context of datamining is is presented. The scheme was developed empirically based on the quantities stored in the database system known as VizieR at the Centre de donnees astronomiques de Strasbourg. This system of meta-information attached to the data allows answering very general queries about the catalog's content by identifying groups of similar quantities with a relatively small number of descriptors compared to the current way of naming quantities, which is essentially author-driven. Current and future applications are discussed. AU - Ortiz, P. F. C3 - `From Information to Knowledge using Astronomical Databases Workshop, June 1999 DA - 2000/05// DO - 10.1016/S0010-4655(99)00508-1 KW - astronomy computing classification data mining indexing Information analysis information retrieval PB - Elsevier PY - 2000 SN - 0010-4655 SP - 188-97 ST - The hierarchical organization of information in astronomy or How to organize things to find them without much effort T2 - Computer Physics Communications T3 - Comput. Phys. Commun. (Netherlands) TI - The hierarchical organization of information in astronomy or How to organize things to find them without much effort UR - http://dx.doi.org/10.1016/S0010-4655(99)00508-1 VL - 127 ID - 1305 ER - TY - CONF AB - The growth of multimedia applications in commerce, biometrics, science, entertainment, etc. is leading to a great need for processing of digital visual content stored in very large databases. Many systems combine visual features and metadata analysis to solve the semantic gap between low-level visual features and high-level human concept, i.e. there is great interest in content-based image retrieval (CBIR) systems. As retrieval is computationally expensive, one of the most challenging moments in CBIR is minimizing the retrieval process time. Widespread clustering techniques allow to group similar images in terms of their feature proximity. The number of matches can be greatly reduced, but there is no guarantee that the global optimum solution is obtained. We propose novel hierarchical clustering of image collections with objective function encompassing goals to number of matches at a search stage. Offered method enables construction of image retrieval systems with minimal query time. AU - Kinoshenko, D. AU - Mashtalir, V. AU - Yegorova, E. AU - Vinarsky, V. C3 - Machine Learning and Data Mining in Pattern Recognition. 4th International Conference, MLDM 2005. Proceedings, 9-11 July 2005 DA - 2005 KW - content-based retrieval image matching image retrieval meta data pattern clustering very large databases visual databases PB - Springer-Verlag PY - 2005 SP - 445-55 ST - Hierarchical partitions for content image retrieval from large-scale database T3 - Machine Learning and Data Mining in Pattern Recognition. 4th International Conference, MLDM 2005. Proceedings (Lecture Notes in Artificial Intelligence Vol.3587) TI - Hierarchical partitions for content image retrieval from large-scale database ID - 943 ER - TY - JOUR AB - A growing number of studies indicate high conservation potential of freshwater habitats occurring in post-mining areas. The overall diversity of these habitats depends on many factors, however, even a high diversity may diminish significantly over time. Therefore, it is difficult to identify and understand the importance of key habitat properties for diversity. Here I present analysis of three studies comparing the diversity of dragonflies and damselflies (Odonata). Each study was performed in different coal mining basins within the Czech Republic (a total of 94 sites). In this analysis, I used generalized linear mixed models and several multivariate methods to analyze the effects of a number of environmental characteristics such as depth, bottom substrate or bank slope, reflecting not only the current quality but also the succession and formation of individual pools. The occurrence of overall 14 nationally red listed species indicates the high conservation value of these habitats, while the 40 species found indicate that these areas contribute significantly to regional diversity. Species richness of individual pools was associated with habitat type (spoil heap vs. mine subsidence) and with several habitat variables, in particular the character of vegetation around aquatic habitats. In conclusion, the results indicate that diversity and species composition are significantly influenced by factors reflecting the formation and subsequent succession of pools. Effective conservation management should concentrate primarily on modifying pools' initial properties such as bottom substrate. Subsequent management should then sustain landscape dynamics, which means in particular to sustain minor disturbances that subsequently affect vegetation succession and prevent excessive overgrowing of expansive vegetation, as doing so is promoting the habitat heterogeneity which is essential to high biodiversity in these areas. 2016 Elsevier B.V.. AU - Harabi, Filip DA - 2016 DO - 10.1016/j.ecoleng.2016.01.070 J2 - Ecological Engineering KW - Biodiversity Conservation Ecosystems Forestry image reconstruction Lakes Quality Control Vegetation L1 - internal-pdf://3571805540/Harabi-2016-High diversity of odonates in post.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 09258574 SP - 438-446 ST - High diversity of odonates in post-mining areas: Meta-analysis uncovers potential pitfalls associated with the formation and management of valuable habitats T2 - Ecological Engineering TI - High diversity of odonates in post-mining areas: Meta-analysis uncovers potential pitfalls associated with the formation and management of valuable habitats UR - http://dx.doi.org/10.1016/j.ecoleng.2016.01.070 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0925857416300714/1-s2.0-S0925857416300714-main.pdf?_tid=7a03c772-8337-11e6-b78e-00000aacb362&acdnat=1474818677_c767e4f393a8e7a53e0e00f2daa80ec1 VL - 90 ID - 1815 ER - TY - CONF AB - Information retrieval is concerned with gathering relevant information from unstructured and semantically fuzzy data in texts and other media, searching for information within documents and for metadata about documents, as well as searching relational databases and the Web. The automation of information retrieval enables the reduction of what has been referred to as "information overload." Information retrieval can be combined with knowledge discovery to create software tools that empower users of decision support systems to better understand and use the knowledge underlying large data sets. Conventional information retrieval research has been mainly based on text information. This research cannot be applied directly to a multimedia information retrieval system, because the text-based information retrieval method involves retrieving desired text documents using a search query that consists of a number of text-based keywords. For example, in conventional text-based audio information retrieval systems, retrieval keys mainly consist of text information, such as a singer's name, a composer, the title of a piece of music, or the lyrics of a song. On the other hand, content-based retrieval enables users to represent what they want directly, making the retrieval system easier to use. The system described here is a content-based retrieval system for audio that accepts hummed tunes as queries even if the name of a song or the singer cannot be recalled or remembered. AU - Sung-Phil, Heo C3 - 2009 International Conference on Information & Knowledge Engineering. IKE 2009, 13-16 July 2009 DA - 2009 KW - audio signal processing content-based retrieval data mining Decision support systems information retrieval meta data relational databases Search Engines software tools text analysis PB - CSREA Press PY - 2009 SP - 723-6 ST - High Precision Audio Contents Retrieval by Effective Melody Representation and Feature Extraction T3 - Proceedings of the 2009 International Conference on Information Knowledge Engineering. IKE 2009 TI - High Precision Audio Contents Retrieval by Effective Melody Representation and Feature Extraction VL - vol.2 ID - 964 ER - TY - JOUR AB - Much of human knowledge sits in large databases of unstructured text. Leveraging this knowledge requires algorithms that extract and record metadata on unstructured text documents. Assigning topics to documents will enable intelligent searching, statistical characterization, and meaningful classification. Latent Dirichlet allocation (LDA) is the state of the art in topic modeling. Here, we perform a systematic theoretical and numerical analysis that demonstrates that current optimization techniques for LDA often yield results that are not accurate in inferring the most suitable model parameters. Adapting approaches from community detection in networks, we propose a new algorithm that displays high reproducibility and high accuracy and also has high computational efficiency. We apply it to a large set of documents in the English Wikipedia and reveal its hierarchical structure.A significant fraction of data that are currently being generated and stored is in the form of unstructured text. Researchers use topic modeling algorithms to automatically classify text documents into topics in text recommendation systems, digital image analysis, spam filtering, and high-dimensional data mining with the goal of recording and extracting relevant data. With the goal of enabling intelligent data searches, we study synthetic and real data, whose topics are known, to evaluate the performance of state-of-the-art algorithms. We show that current optimization techniques often have trouble yielding accurate and reproducible results, particularly if the topics are heterogeneously distributed. By borrowing methods from graph clustering, we propose a novel optimization method with high accuracy and reproducibility and no computational overhead.One state-of-the-art algorithm for classifying text-based data is latent Dirichlet allocation, a means of assigning topics to documents. We measure its performance using specific synthetic data with known topics. We find that the algorithm is not able to detect the ground-truth topics because of the roughness of the likelihood landscape. We propose a novel technique that builds a network of co-occurrent words and finds topics starting from clusters of words in that network. We show that our method is more accurate, both in synthetic cases and in a real-world case of documents from the journal Science.We expect that our results will yield new ways of automatically classifying text documents, a process that is particularly relevant given the growth of electronic, searchable data. AU - Lancichinetti, A. AU - Sirer, M. I. AU - Wang, J. X. AU - Acuna, D. AU - Kording, K. AU - Nunes Amaral, L. A. DA - 2015/01// DO - 10.1103/PhysRevX.5.011007 IS - 1 J2 - Physical Review X KW - information retrieval meta data natural language processing optimisation pattern classification statistical analysis text analysis Web sites L1 - internal-pdf://0856979759/Lancichinetti-2015-High-Reproducibility and Hi.pdf PY - 2015 SN - 2160-3308 SP - 011007-(11 pp.) ST - High-Reproducibility and High-Accuracy Method for Automated Topic Classification T2 - Physical Review X TI - High-Reproducibility and High-Accuracy Method for Automated Topic Classification UR - http://dx.doi.org/10.1103/PhysRevX.5.011007 http://journals.aps.org/prx/pdf/10.1103/PhysRevX.5.011007 VL - 5 ID - 938 ER - TY - JOUR AB - Many contemporary neuroscientific investigations face significant challenges in terms of data management, computational processing, data mining, and results interpretation. These four pillars define the core infrastructure necessary to plan, organize, orchestrate, validate, and disseminate novel scientific methods, computational resources, and translational healthcare findings. Data management includes protocols for data acquisition, archival, query, transfer, retrieval, and aggregation. Computational processing involves the necessary software, hardware, and networking infrastructure required to handle large amounts of heterogeneous neuroimaging, genetics, clinical, and phenotypic data and meta-data. Data mining refers to the process of automatically extracting data features, characteristics and associations, which are not readily visible by human exploration of the raw dataset. Result interpretation includes scientific visualization, community validation of findings and reproducible findings. In this manuscript we describe the novel high-throughput neuroimaging-genetics computational infrastructure available at the Institute for Neuroimaging and Informatics (INI) and the Laboratory of Neuro Imaging (LONI) at University of Southern California (USC). INI and LONI include ultra-high-field and standard-field MRI brain scanners along with an imaging-genetics database for storing the complete provenance of the raw and derived data and meta-data. In addition, the institute provides a large number of software tools for image and shape analysis, mathematical modeling, genomic sequence processing, and scientific visualization. A unique feature of this architecture is the Pipeline environment, which integrates the data management, processing, transfer, and visualization. Through its client-server architecture, the Pipeline environment provides a graphical user interface for designing, executing, monitoring validating, and disseminating of complex protocols that utilize diverse suites of software tools and web-services. These pipeline workflows are represented as portable XML objects which transfer the execution instructions and user specifications from the client user machine to remote pipeline servers for distributed computing. Using Alzheimer's and Parkinson's data, we provide several examples of translational applications using this infrastructure(1). AU - Dinov, Ivo D. AU - Petrosyan, Petros AU - Liu, Zhizhong AU - Eggert, Paul AU - Hobel, Sam AU - Vespa, Paul AU - Moon, Seok Woo AU - Van Horn, John D. AU - Franco, Joseph AU - Toga, Arthur W. DA - 2014/04/23/ DO - 10.3389/fninf.2014.00041 L1 - internal-pdf://4126499368/Dinov-2014-High-throughput neuroimaging-geneti.pdf PY - 2014 SN - 1662-5196 SP - 41 ST - High-throughput neuroimaging-genetics computational infrastructure T2 - Frontiers in Neuroinformatics TI - High-throughput neuroimaging-genetics computational infrastructure UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4005931/pdf/fninf-08-00041.pdf VL - 8 ID - 2123 ER - TY - CONF AB - The publicly accessible Europe Media Monitor (EMM) family of applications (http://press.jrc.it/overview.html) gather and analyse an average of 80,000 to 100,000 online news articles per day in up to 43 languages. Through the extraction of meta-information in these articles, they provide an aggregated view of the news; they allow to monitor trends and to navigate the news over time and even across languages. EMM-NewsExplorer additionally collects historical information about persons and organisations from the multilingual news, generates co-occurrence and quotation-based social networks, and more. All EMM applications were entirely developed at, and are being maintained by, the European Commission's Joint Research Centre (JRC) in Ispra, Italy. The applications make combined use of a variety of text analysis tools, including clustering, multi-label document classification, named entity recognition, name variant matching across languages and writing systems, topic detection and tracking, event scenario template filling, and more. Due to the high number of languages covered, linguistics-poor methods were used for the development of these text mining components. See the site http://langtech.jrc.it/ for technical details and a list of publications. The speaker will give an overview of the various applications and will then explain the workings of selected text analysis components. AU - Steinberger, R. C3 - Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2009, 7-11 Sept. 2009 DA - 2009 DO - 10.1007/978-3-642-04180-8_5 KW - data mining information retrieval Internet Linguistics meta data pattern classification pattern clustering rewriting systems text analysis PB - Springer-Verlag PY - 2009 SP - 5 ST - Highly multilingual news analysis applications T3 - Machine Learning and Knowledge Discovery in Databases. Proceedings European Conference, ECML PKDD 2009 TI - Highly multilingual news analysis applications UR - http://dx.doi.org/10.1007/978-3-642-04180-8_5 VL - pt.1 ID - 1861 ER - TY - JOUR AU - Auvert, Bertran AU - Ballard, Ron AU - Campbell, Catherine AU - Caraël, Michel AU - Carton, Matthieu AU - Fehler, Glenda AU - Gouws, Eleanor AU - MacPhail, Catherine AU - Taljaard, Dirk AU - Van Dam, Johannes AU - others DA - 2001 DP - Google Scholar IS - 7 L1 - internal-pdf://1869470124/Auvert-2001-HIV infection among youth in a Sou.pdf PY - 2001 SP - 885-898 ST - HIV infection among youth in a South African mining town is associated with herpes simplex virus-2 seropositivity and sexual behaviour T2 - Aids TI - HIV infection among youth in a South African mining town is associated with herpes simplex virus-2 seropositivity and sexual behaviour UR - http://journals.lww.com/aidsonline/Abstract/2001/05040/HIV_infection_among_youth_in_a_South_African.9.aspx http://ovidsp.tx.ovid.com.ezproxy.lib.vt.edu/ovftpdfs/FPDDNCFBHHEJPL00/fs024/ovft/live/gv013/00002030/00002030-200105040-00009.pdf VL - 15 Y2 - 2016/09/24/15:39:07 ID - 2373 ER - TY - CONF AB - LDA (Latent Dirichlet Allocation) topic model has been applied into many applications in recent years. But LDA has a shortcoming that it cannot deal with various changes of data set well, which has become a limitation for its applications. Hierarchical Latent Dirichlet Allocation (hLDA) is a generalization of LDA and it can adapt itself to the growing data set automatically. hLDA can mine latent topics from a large amount of discrete data and organize these topics into a hierarchy, in which the topics of higher level are more abstractive while the topics of lower level are more specific. This hierarchy could achieve a deeper semantic model which is similar with human mind. Given a set of documents, hLDA generates a prior distribution of Bayesian nonparametrics using a nested Chinese restaurant process (nCRP)[1]. The documents sharing similar topics are organized into a cluster of path. hLDA learns the distribution of topics using a method of Bayesian posterior inference. This paper tries to study hLDA model in details and apply it into the application of Chinese text clustering. Experiments have shown that hLDA is a very promising model for text clustering. 2012 IEEE. AU - Liu, Pingan AU - Li, Lei AU - Heng, Wei AU - Wang, Boyuan C3 - 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012, October 30, 2012 - November 1, 2012 DA - 2012 DO - 10.1109/CCIS.2012.6664628 KW - cloud computing Cluster Analysis Semantics Statistics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 1465-1469 ST - HLDA based text clustering T3 - Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 TI - HLDA based text clustering UR - http://dx.doi.org/10.1109/CCIS.2012.6664628 VL - 3 ID - 460 ER - TY - JOUR AB - This paper documents the timing, geochemistry and possible origin of sodium enrichment associated with Proterozoic iron formation-hosted copper-gold ore lenses at the Starra deposit, Australia. The ore lenses are immediately underlain by variably sheared albite-magnetite-hematite-pyrite-bearing rocks, and overlain by mainly unaltered, less-sheared, meta-sediments. Evidence indicating that albite was abundant prior to deformation, and also prior to the main hydrothermal addition of Fe, S, Cu and Au, includes (1) regional albite development at this stratigraphic level; (2) alteration of albite by ore-related sericite; and (3) inclusion of unfoliated inclusions of albite and hematite in ore-related pyrite. Nevertheless, albite also developed around dolerites and within hangingwall shears during metamorphism and deformation. ''Least altered'' albite footwall rocks have SiO2 (67.31-73.13 wt.%), Al2O3(9.89-12.51 wt.%), total alkali elements (6.40-9.43 wt.%) and HFS elements (e.g., Zr = 179-275 ppm; Ti/Zr = 7.6-14.1) comparable with felsic volcanics, but have high relative Na2O contents (5.08-5.81 wt. %), and variable to high Na2O/K2O ratios (0.05-68.37). An episode of alkali alteration by high-Na fluids prior to the ore-related alteration is postulated to account for sodic compositions, after chemical consideration of the alternatives (1) arkosic sediments; (2) trondhjemitic volcaniclastics; and (3) Na-metasomatism of Staveley Formation sediments. During the most intense ore-alteration, isocon analysis indicates a density increase of approximately 23% compared to the ''least altered'' albitised host-rocks. Cu, Fe, Au, Sn, W, Zn, K, Ba and Rb were enriched during the mineralising process, whereas Mn, Ca, Si, Nb and Zr were lost, and Al, Ti and Y were not changed (and were used to define the isocon). The loss of some high field strength elements during this alteration indicates that igneous rock classification diagrams based on immobile element ratios should be used with caution for albite-muscovite magnetite-pyrite assemblages associated with iron formation-hosted copper-gold deposits. Zircon was partially soluble, whereas titanium oxides were probably stable in the saline, high temperature (260-degrees-380-degrees-C), acid (pH = 3.9-6.0) fluids envisaged for ore-related alteration. The origin of sodic quartzo-feldspathic rocks has been regularly visited in geological literature. Such rocks are variously (1) isochemical with known variants of unaltered sediment such as graywacke or arkose (e.g., Shaw 1972); (2) hydrothermal or diagenetic alteration products of felsic volcanic debris at low to moderate temperatures, commonly in evaporitic settings (e.g., Coombs 1965, Plimer 1977, Behr and Horn 1982; Stamatakis 1989; Cook and Ashley 1992); (3) intrusive/extrusive products of trondhjemitic magmas (e.g., Dougan 1976; Shaw 1972; Whitney and Olmsted 1988); or (4) products of large-scale metasomatism by saline fluids in non-volcanic sediment packages, possibly at moderate to high temperatures, and in places associated with metal deposition (e.g., Hitzman et al. 1992; Kalsbeek 1992; Williams et al. 1993). In many instances the primary textures are disrupted by metamorphism, deformation or metasomatism, which has led to a reliance on geochemistry to determine parent lithologies. However, geochemical discrimination of igneous versus sedimentary parents based on the fractionation of alkali and alkali earth elements into seawater during physical and chemical weathering (White and Chappell 1977), such as that of Shaw (1972), assume no alteration, and are less applicable to protolith identification where significant post-depositional alteration is likely. The consideration of the effect of alteration leads to greater reliance on those geochemical protolith discrimination techniques which use the high field strength elements Ti, Zr, Y, Nb, Ce, Ga and Sc (e.g., Floyd and Winchester 1977; Wood et al. 1979; Hallberg 1984; Duncan 1987), rather than major element-dependent techniques. The Ti/Zr ratio has been used in this paper for compariso with other elements within populations. It is a good index of igneous differentiation, remains relatively constant during low temperature alteration at low to moderate W/R ratios, and its sedimentary fractionation trend differs from its igneous behaviour (Winchester and Floyd 1978; Bhatia and Crook 1986). The ratio is unreliable at high W/R in some hydrothermal systems (e.g., Finlow-Bates and Stumpfl 1981; Larson 1984; Wyborn 1987), and its relevance within an ore alteration envelope is examined here. Sodic rocks are being increasingly recognised in the Proterozoic Mt Isa Eastern Succession of Queensland, Australia, with evidence of several introduction episodes prior to, during, and following the major deformations, in part related to granite intrusion (Oliver and Wall 1987; Oliver et al. 1992; Williams et al. 1993). This paper documents the specific case of the iron-formation-hosted gold-copper Starra deposit, examining the identity of the primary host-rocks, documenting the geochemistry of sodic-rich lithologies, and evaluating whether these chemical enrichments are primary features or were developed during the ore-forming process. The behaviour of high field strength elements (Ti, Zr, Y, Nb, P) in the deposit wall-rocks during ore-related alteration is also examined. AU - Davidson, G. J. DA - 1994/07// IS - 3 PY - 1994 SN - 0026-4598 SP - 237-249 ST - HOSTROCKS TO THE STRATABOUND IRON-FORMATION-HOSTED STARRA GOLD-COPPER DEPOSIT, AUSTRALIA T2 - Mineralium Deposita TI - HOSTROCKS TO THE STRATABOUND IRON-FORMATION-HOSTED STARRA GOLD-COPPER DEPOSIT, AUSTRALIA VL - 29 ID - 2151 ER - TY - CHAP AB - Background Background Lead poisoning is associated with physical, cognitive and neurobehavioural impairment in children and trials have tested many household interventions to prevent lead exposure. This is an update of the original review by the same authors first published in 2008. Objectives Objectives To determine the effectiveness of household interventions in preventing or reducing lead exposure in children as measured by reductions in blood lead levels and/or improvements in cognitive development. Search methods Search methods We identified trials through electronic searches of CENTRAL (2012, Issue 1), MEDLINE (1948 to January Week 1 2012), EMBASE (1980 to Week 2 2012), CINAHL (1937 to January 2012), PsycINFO (1887 to January Week 2 2012), ERIC (1966 to January 2012), Sociological Abstracts (1952 to January 2012), Science Citation Index (1970 to 20 January 2012), ZETOC (20 January 2012), LILACS (20 January 2012), Dissertation Abstracts (late 1960s to January 2012), ClinicalTrials.gov (19 January 2012), Current Controlled Trials (19 January 2012), Australian New Zealand Clinical Trials Registry (19 January 2012) and the National Research Register Archive. We also contacted experts to find unpublished studies. Selection criteria Selection criteria Randomised and quasi-randomised controlled trials of household educational or environmental interventions to prevent lead exposure in children where at least one standardised outcome measure was reported. Data collection and analysis Data collection and analysis Two authors independently reviewed all eligible studies for inclusion, assessed risk of bias and extracted data. We contacted trialists to obtain missing information. Main results Main results We included 14 studies (involving 2656 children). All studies reported blood lead level outcomes and none reported on cognitive or neurobehavioural outcomes. We put studies into subgroups according to their intervention type. We performed meta-analysis of both continuous and dichotomous data for subgroups where appropriate. Educational interventions were not effective in reducing blood lead levels (continuous: mean difference (MD) 0.02, 95% confidence interval (CI) -0.09 to 0.12, I2 = 0 (log transformed); dichotomous ≥ 10µg/dL (≥ 0.48 µmol/L): relative risk (RR) 1.02, 95% CI 0.79 to 1.30, I2=0; dichotomous ≥ 15µg/dL (≥ 0.72 µmol/L): RR 0.60, 95% CI 0.33 to 1.09, I2 = 0). Meta-analysis for the dust control subgroup also found no evidence of effectiveness (continuous: MD -0.15, 95% CI -0.42 to 0.11, I2 = 0.9 (log transformed); dichotomous ≥ 10µg/dL (≥ 0.48 µmol/L): RR 0.93, 95% CI 0.73 to 1.18, I2 =0; dichotomous ≥ 15µg/dL (≥ 0.72 µmol/L): RR 0.86, 95% CI 0.35 to 2.07, I2 = 0.56). When meta-analysis for the dust control subgroup was adjusted for clustering, no statistical significant benefit was incurred. The studies using soil abatement (removal and replacement) and combination intervention groups were not able to be meta-analysed due to substantial differences between studies. Authors' conclusions Authors' conclusions Based on current knowledge, household educational or dust control interventions are ineffective in reducing blood lead levels in children as a population health measure. There is currently insufficient evidence to draw conclusions about the effectiveness of soil abatement or combination interventions. Further trials are required to establish the most effective intervention for prevention of lead exposure. Key elements of these trials should include strategies to reduce multiple sources of lead exposure simultaneously using empirical dust clearance levels. It is also necessary for trials to be carried out in developing countries and in differing socioeconomic groups in developed countries. AU - Yeoh, Berlinda AU - Woolfenden, Susan AU - Lanphear, Bruce AU - Ridley, Greta F. AU - Livingstone, Nuala AU - Jorgensen, Emile DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006047.pub4/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2014 ST - Household interventions for preventing domestic lead exposure in children T2 - Cochrane Database of Systematic Reviews TI - Household interventions for preventing domestic lead exposure in children UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006047.pub4/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006047.pub4/full Y2 - 2016/09/18/20:15:38 ID - 425 ER - TY - JOUR AB - OBJECTIVE: To identify approaches to improving methods for assessing tolerability and safety of psychotropic medications in children and adolescents. METHOD: Strengths and limitations of current methodology were reviewed and possible alternatives examined. RESULTS: Research on the validity of safety evaluation has been extremely limited. No evidence-based "gold standard" exists. Clinical trials remain the best design to establish causality, but sample size limitations prevent the detection of infrequent, though serious, adverse events. Other designs, such as cohort and case-control studies, and approaches, such as mining of large databases, must be considered. CONCLUSION: The current lack of methodological standardization across studies prevents generalizations and meta-analyses. Because the issues relevant to drug safety are diverse, a variety of methodological approaches and instruments are needed. It is, however, possible to adopt standard basic definitions of adverse events, degree of severity, ascertainment methods, and recording procedures, as a common "core," to which more specific assessment instruments can be added. Systematic empirical testing and validation of safety methodology is needed. AU - Vitiello, Benedetto AU - Riddle, Mark A. AU - Greenhill, Laurence L. AU - March, John S. AU - Levine, Jerome AU - Schachar, Russell J. AU - Abikoff, Howard AU - Zito, Julie M. AU - McCracken, James T. AU - Walkup, John T. AU - Findling, Robert L. AU - Robinson, James AU - Cooper, Thomas B. AU - Davies, Mark AU - Varipatis, Elena AU - Labellarte, Michael J. AU - Scahill, Lawrence AU - Capasso, Lisa DA - 2003/06//undefined DO - 10.1097/01.CHI.0000046840.90931.36 IS - 6 J2 - J Am Acad Child Adolesc Psychiatry KW - *Psychopharmacology Adolescent Adverse Drug Reaction Reporting Systems/*standards Child Child, Preschool Female Humans Male Psychotropic Drugs/adverse effects Randomized Controlled Trials as Topic/adverse effects LA - eng PY - 2003 SN - 0890-8567 0890-8567 SP - 634-641 ST - How can we improve the assessment of safety in child and adolescent psychopharmacology? T2 - Journal of the American Academy of Child and Adolescent Psychiatry TI - How can we improve the assessment of safety in child and adolescent psychopharmacology? VL - 42 ID - 288 ER - TY - JOUR AB - BACKGROUND: Policymakers and regulators in the United States (US) and the European Union (EU) are weighing reforms to their medical device approval and post-market surveillance systems. Data may be available that identify strengths and weakness of the approaches to medical device regulation in these settings. METHODS AND FINDINGS: We performed a systematic review to find empirical studies evaluating medical device regulation in the US or EU. We searched Medline using two nested categories that included medical devices and glossary terms attributable to the US Food and Drug Administration and the EU, following PRISMA guidelines for systematic reviews. We supplemented this search with a review of the US Government Accountability Office online database for reports on US Food and Drug Administration device regulation, consultations with local experts in the field, manual reference mining of selected articles, and Google searches using the same key terms used in the Medline search. We found studies of premarket evaluation and timing (n = 9), studies of device recalls (n = 8), and surveys of device manufacturers (n = 3). These studies provide evidence of quality problems in pre-market submissions in the US, provide conflicting views of device safety based largely on recall data, and relay perceptions of some industry leaders from self-surveys. CONCLUSIONS: Few studies have quantitatively assessed medical device regulation in either the US or EU. Existing studies of US and EU device approval and post-market evaluation performance suggest that policy reforms are necessary for both systems, including improving classification of devices in the US and promoting transparency and post-market oversight in the EU. Assessment of regulatory performance in both settings is limited by lack of data on post-approval safety outcomes. Changes to these device approval and post-marketing systems must be accompanied by ongoing research to ensure that there is better assessment of what works in either setting. AU - Kramer, Daniel B. AU - Xu, Shuai AU - Kesselheim, Aaron S. DA - 2012 DO - 10.1371/journal.pmed.1001276 IS - 7 J2 - PLoS Med KW - *Equipment and Supplies/statistics & numerical data *European Union *Social Control, Formal Humans Medical Device Recalls/legislation & jurisprudence Product Surveillance, Postmarketing/statistics & numerical data United States L1 - internal-pdf://4101018474/Kramer-2012-How does medical device regulation.pdf LA - eng PY - 2012 SN - 1549-1676 1549-1277 SP - e1001276 ST - How does medical device regulation perform in the United States and the European union? A systematic review T2 - PLoS medicine TI - How does medical device regulation perform in the United States and the European union? A systematic review UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3418047/pdf/pmed.1001276.pdf VL - 9 ID - 118 ER - TY - JOUR AB - AIMS AND OBJECTIVES: To explore client and provider experiences and related health outcomes of sexual and reproductive health interventions that have been led by or that have involved mining companies. BACKGROUND: Miners, and those living in communities surrounding mines in developing countries, are a vulnerable population with a high sexual and reproductive health burden. People in these communities require specific healthcare services although the exact delivery needs are unclear. There are no systematic reviews of evidence to guide delivery of sexual and reproductive health interventions to best address the needs of men and women in mining communities. DESIGN: A narrative synthesis. METHODS: A search of peer-reviewed literature from 2000-2012 was undertaken with retrieved documents assessed using an inclusion/exclusion criterion and quality appraisal guided by critical assessment tools. Concepts were analysed thematically. RESULTS: A desire for HIV testing and treatment was associated with the recognition of personal vulnerability, but this was affected by fear of stigma. Regular on-site services facilitated access to voluntary counselling and testing and HIV care, but concerns for confidentiality were a serious barrier. The provision of HIV and sexually transmitted infection clinical and promotive services revealed mixed health outcomes. Recommended service improvements included rapid HIV testing, the integration of sexual and reproductive health into regular health services also available to family members and culturally competent, ethical, providers who are better supported to involve consumers in health promotion. CONCLUSION: There is a need for research to better inform health interventions so that they build on local cultural norms and values and address social needs. A holistic approach to sexual and reproductive health beyond a focus on HIV may better engage community members, mining companies and governments in healthcare delivery. RELEVANCE TO CLINICAL PRACTICE: Nurses may require appropriate workplace support and incentives to deliver sexual and reproductive health interventions in developing mining contexts where task shifting exists. AU - Dawson, Angela J. AU - Homer, Caroline S. DA - 2013/12//undefined DO - 10.1111/jocn.12191 IS - 23-24 J2 - J Clin Nurs KW - *Mining *Reproductive Health developing countries mining nursing sexual and reproductive health interventions L1 - internal-pdf://3886393013/Dawson-2013-How does the mining industry contr.pdf LA - eng PY - 2013 SN - 1365-2702 0962-1067 SP - 3597-3609 ST - How does the mining industry contribute to sexual and reproductive health in developing countries? A narrative synthesis of current evidence to inform practice T2 - Journal of clinical nursing TI - How does the mining industry contribute to sexual and reproductive health in developing countries? A narrative synthesis of current evidence to inform practice UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/jocn.12191/asset/jocn12191.pdf?v=1&t=itirfsjw&s=dc68b888075e2a41ded149f48b4ea90f307285ac VL - 22 ID - 307 ER - TY - JOUR AB - To socially justify the need for better municipal solid waste management services, especially in the light of the limited availability of public funds, it is important to quantify the monetary value of the potential social and environmental benefits offered by them. This article aims at estimating society's willingness to pay improved municipal solid waste management and establishing suitable reference values using the 'benefit transfer' method. To this direction, relevant studies from the global scientific and grey literature in the field of municipal solid waste management valuation are analysed and two different transfer approaches are implemented. According to the analysis, the mean annual willingness to pay per household is 88.4 USD2014(5%-trimmed mean: 78.7 USD2014; 95% confidence interval lower bound: 64.8 USD2014and upper bound: 112.0 USD2014). The analysis yields estimates with a high standard deviation and notably broad confidence intervals, owing to design issues of the primary studies, the different socioeconomic profiles of the populations surveyed and the existing level of municipal solid waste management services. Thus, a meta-regression model is estimated to explore the sources of heterogeneity and facilitate more accurate transfer values. Nevertheless, the limited number of observations and some methodological issues in the design and conduct of the original surveys set certain challenges and increase the level of uncertainty of the transfer values. The Author(s) 2016. AU - Damigos, Dimitris AU - Kaliampakos, Dimitris AU - Menegaki, Maria DA - 2016 DO - 10.1177/0734242X16633518 IS - 4 J2 - Waste Management and Research KW - Economic and social effects economics financial data processing Municipal solid waste Regression Analysis Solid wastes Surveys Waste management N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 0734242X SP - 345-355 ST - How much are people willing to pay for efficient waste management schemes? A benefit transfer application T2 - Waste Management and Research TI - How much are people willing to pay for efficient waste management schemes? A benefit transfer application UR - http://dx.doi.org/10.1177/0734242X16633518 http://wmr.sagepub.com/content/34/4/345.long VL - 34 ID - 841 ER - TY - ADVS AB - We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to identify the speaker of unmarked presidential campaign speeches. Applications in brand management, auditing, fraud detection, electronic medical records, and more. AU - Timothy, DAuria DP - YouTube KW - Data Mining document classification predictive modeling Rstat Text mining ST - How to Build a Text Mining, Machine Learning Document Classification System in R! TI - How to Build a Text Mining, Machine Learning Document Classification System in R! UR - https://www.youtube.com/watch?v=j1V2McKbkLo Y2 - 2016/09/24/21:08:22 ID - 2534 ER - TY - JOUR AB - Meta‐analysis offers ecologists a powerful tool for knowledge synthesis. Albeit a form of review, it also shares many similarities with primary empirical research. Consequently, critical reading of meta‐analyses incorporates criteria from both sets of approaches particularly because ecology is a discipline that embraces heterogeneity and broad methodologies. The most important issues in critically assessing a meta‐analysis initially include transparency, replicability, and clear statement of purpose by the authors. Specific to ecology, more so than other disciplines, tests of the same hypothesis are generally conducted at different study sites, have variable ecological contexts (i.e., seasonality), and use very different methods. Clear reporting and careful examination of heterogeneity in ecological meta‐analyses is thus crucial. Ecologists often also test similar hypotheses with different species, and in these meta‐analyses, the reader should expect exploration of phylogenetic dependencies. Finally, observational studies not only provide the substrate for potential current manipulative experiments in this discipline but also form an important body of literature historically for synthesis. Sensitivity analyses of observational versus manipulative experiments when aggregated in the same ecological meta‐analysis are also frequent and appropriate. This brief conceptual review is not intended as an instrument to rate meta‐analyses for ecologists but does provide the appropriate framing for those purposes and directs the reader to ongoing developments in this direction in other disciplines. AU - Lortie, Christopher J. AU - Stewart, Gavin AU - Rothstein, Hannah AU - Lau, Joseph DA - 2015 DO - 10.1002/jrsm.1109 DP - APA PsycNET IS - 2 KW - *Ecology *Meta Analysis *Reading Experimentation LA - English PY - 2015 SN - 1759-2887 1759-2879 SP - 124-133 ST - How to critically read ecological meta-analyses T2 - Research Synthesis Methods TI - How to critically read ecological meta-analyses UR - http://psycnet.apa.org.ezproxy.lib.vt.edu/index.cfm?fa=search.displayRecord&id=3FADC1DE-9041-E9D3-1B0A-3623CB6197E7&resultID=8&page=1&dbTab=all&search=true VL - 6 ID - 456 ER - TY - JOUR AB - Introduction: Establishing continuity of care in handovers at changes of shift is a challenging endeavor that is jeopardized by time pressure and errors typically occurring during synchronous communication. Only if the outgoing and incoming persons manage to collaboratively build a common ground for the next steps of care is it possible to ensure a proper continuation. Electronic systems, in particular electronic patient record systems, are powerful providers of information but their actual use might threaten achieving a common understanding of the patient if they force clinicians to work asynchronously. In order to gain a deeper understanding of communication failures and how to overcome them, we performed a systematic review of the literature, aiming to answer the following four research questions: (1a) What are typical errors and (1b) their consequences in handovers? (2) How can they be overcome by conventional strategies and instruments? (3) electronic systems? (4) Are there any instruments to support collaborative grounding? Methods: We searched the databases MEDLINE, CINAHL, and COCHRANE for articles on handovers in general and in combination with the terms electronic record systems and grounding that covered the time period of January 2000 to May 2012. Results: The search led to 519 articles of which 60 were then finally included into the review. We found a sharp increase in the number of relevant studies starting with 2008. As could be documented by 20 studies that addressed communication errors, omission of detailed patient information including anticipatory guidance during handovers was the greatest problem. This deficiency could be partly overcome by structuring and systematizing the information, e.g. according to Situation, Background, Assessment and Recommendation schema (SBAR), and by employing electronic tools integrated in electronic records systems as 23 studies on conventional and 22 articles on electronic systems showed. Despite the increase in quantity and quality of the information achieved, it also became clear that there was still the unsolved problem of anticipatory guidance and presenting the full story of the patient. Only a small number of studies actually addressed how to establish common ground with the help of electronic tools. Discussion: The increase in studies manifests the rise of great interest in the handover scenario. Electronic patient record systems proved to be excellent information feeders to handover tools, but their role in collaborative grounding is unclear. Concepts of how to move to joint information processing and IT-enabled social interaction have to be implemented and tested. [All rights reserved Elsevier]. AU - Flemming, D. AU - Hubner, U. DA - 2013/07// DO - 10.1016/j.ijmedinf.2013.03.004 IS - 7 J2 - International Journal of Medical Informatics KW - biomedical communication data mining electronic health records groupware Health care Information services patient care L1 - internal-pdf://2305619752/Flemming-2013-How to improve change of shift h.pdf PY - 2013 SN - 1386-5056 SP - 580-92 ST - How to improve change of shift handovers and collaborative grounding and what role does the electronic patient record system play? Results of a systematic literature review T2 - International Journal of Medical Informatics TI - How to improve change of shift handovers and collaborative grounding and what role does the electronic patient record system play? Results of a systematic literature review UR - http://dx.doi.org/10.1016/j.ijmedinf.2013.03.004 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1386505613000622/1-s2.0-S1386505613000622-main.pdf?_tid=57a1b5c4-8335-11e6-9329-00000aab0f01&acdnat=1474817761_e4bb87029d663314c8023117a95cb327 VL - 82 ID - 654 ER - TY - ADVS AB - Link to the article http://goo.gl/w24W2 . Link to the script http://goo.gl/gpUYR AU - resinnovstation DP - YouTube KW - packages R language Text mining tm ST - How to run the text mining (tm) package in R TI - How to run the text mining (tm) package in R UR - https://www.youtube.com/watch?v=Qrm4Ji5q0u0 Y2 - 2016/09/24/21:08:59 ID - 2536 ER - TY - CONF AB - Recently, there is a surge of interests on heterogeneous information network analysis. Although evaluating the importance of objects has been well studied in homogeneous networks, it is not yet exploited in heterogeneous networks. In this paper, we study the ranking problem in heterogeneous networks and propose the HRank method to evaluate the importance of multiple types of objects and meta paths. A constrained meta path is proposed to subtly capture the rich semantics in heterogeneous networks. Since the importance of objects depends upon the meta paths in heterogeneous networks, HRank develops a path based random walk process. Furthermore, HRank can simultaneously determine the importance of objects and meta paths through applying the tensor analysis. Experiments on three real datasets show that HRank can effectively evaluate the importance of objects and paths together. Moreover, the constrained meta path shows its potential on mining subtle semantics by obtaining more accurate ranking results. 2014 Springer International Publishing Switzerland. AU - Li, Yitong AU - Shi, Chuan AU - Yu, Philip S. AU - Chen, Qing C3 - 15th International Conference on Web-Age Information Management, WAIM 2014, June 16, 2014 - June 18, 2014 DA - 2014 DO - 10.1007/978-3-319-08010-9_61 KW - Data processing Heterogeneous networks Information Management Information services random processes Semantics Tensors N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2014 SN - 03029743 SP - 553-565 ST - HRank: A path based ranking method in heterogeneous information network T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - HRank: A path based ranking method in heterogeneous information network UR - http://dx.doi.org/10.1007/978-3-319-08010-9_61 http://link.springer.com/chapter/10.1007%2F978-3-319-08010-9_61 VL - 8485 LNCS ID - 656 ER - TY - JOUR AB - Background: Meta-analyses of genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) spanning the 5-hydroxytryptamine receptor 4 (5-HT4R) gene (HTR4) associated with lung function. The aims of this study were to i) investigate the expression profile of HTR4 in adult and fetal lung tissue and cultured airway cells, ii) further define HTR4 gene structure and iii) explore the potential functional implications of key SNPs using a bioinformatic approach. Methods: Following reverse transcription (RT)-PCR in human brain, 5' rapid amplification of cDNA ends (5' RACE) was used to examine the exonic structure of HTR4 at the 5' end. Quantitative (Q)-PCR was used to quantify HTR4 mRNA expression in total RNA from cultured airway cells and whole lung tissue. Publically available gene microarray data on fetal samples of estimated gestational age 7-22 weeks were mined for HTR4 expression. Immunohistochemistry (IHC; in adult and fetal lung tissue) and a radioligand binding assay (in cultured airway cells) were used to analyze 5HT(4)R protein expression. Results: IHC in adult lung, irrespective of the presence of chronic obstructive pulmonary disease (COPD), suggested low level expression of 5-HT4R protein, which was most prominent in alveolar pneumocytes. There was evidence of differential 5-HT4R protein levels during gestation in fetal lung, which was also evident in gene expression microarray data. HTR4 mRNA expression, assessed by Q-PCR, was <0.5% relative to brain in total adult lung tissue and in human airway smooth muscle (HASM) and bronchial epithelial cells (HBEC) derived from adult donors. Radioligand binding experiments also indicated that HBEC and HASM cells did not express a significant 5-HT4R population. 5' RACE in brain identified a novel N-terminal variant, containing an extended N-terminal sequence. The functional significance of key HTR4 SNPs was investigated using the encyclopedia of DNA elements consortium (ENCODE) dataset. These analyses identified multiple alterations in regulatory motifs for transcription factors implicated in lung development, including Foxp1. Conclusions: Taken together, these data suggest a role for HTR4 in lung development, which may at least in part explain the genetic association with lung function. AU - Hodge, Emily AU - Nelson, Carl P. AU - Miller, Suzanne AU - Billington, Charlotte K. AU - Stewart, Ceri E. AU - Swan, Caroline AU - Malarstig, Anders AU - Henry, Amanda P. AU - Gowland, Catherine AU - Melen, Erik AU - Hall, Ian P. AU - Sayers, Ian DA - 2013/07/26/ DO - 10.1186/1465-9921-14-77 L1 - internal-pdf://0805251743/Hodge-2013-HTR4 gene structure and altered exp.pdf PY - 2013 SN - 1465-993X SP - 77 ST - HTR4 gene structure and altered expression in the developing lung T2 - Respiratory Research TI - HTR4 gene structure and altered expression in the developing lung UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3750317/pdf/1465-9921-14-77.pdf VL - 14 ID - 2000 ER - TY - JOUR AB - The maturation of in vivo neuroimaging has led to incredible quantities of digital information about the human brain. While much is made of the data deluge in science, neuroimaging represents the leading edge of this onslaught of "big data". A range of neuroimaging databasing approaches has streamlined the transmission, storage, and dissemination of data from such brain imaging studies. Yet few, if any, common solutions exist to support the science of neuroimaging. In this article, we discuss how modern neuroimaging research represents a multifactorial and broad ranging data challenge, involving the growing size of the data being acquired; sociological and logistical sharing issues; infrastructural challenges for multi-site, multi-datatype archiving; and the means by which to explore and mine these data. As neuroimaging advances further, e.g. aging, genetics, and age-related disease, new vision is needed to manage and process this information while marshalling of these resources into novel results. Thus, "big data" can become "big" brain science. AU - Van Horn, John Darrell AU - Toga, Arthur W. DA - 2014/06// DO - 10.1007/s11682-013-9255-y IS - 2 PY - 2014 SN - 1931-7557 SP - 323-331 ST - Human neuroimaging as a "Big Data" science T2 - Brain Imaging and Behavior TI - Human neuroimaging as a "Big Data" science VL - 8 ID - 2266 ER - TY - JOUR AB - Long non-coding RNAs (lncRNAs), representing a large proportion of non-coding transcripts across the human genome, are evolutionally conserved and biologically functional. At least one-third of the phenotype-related loci identified by genome-wide association studies (GWAS) are mapped to non-coding intervals. However, the relationships between phenotype-related loci and lncRNAs are largely unknown. Utilizing the 1000 Genomes data, we compared single-nucleotide polymorphisms (SNPs) within the sequences of lncRNA and protein-coding genes as defined in the Ensembl database. We further annotated the phenotype-related SNPs reported by GWAS at lncRNA intervals. Because prostate cancer (PCa) risk-related loci were enriched in lncRNAs, we then performed meta-analysis of two existing GWAS for discovery and an additional sample set for replication, revealing PCa risk-related loci at lncRNA regions. The SNP density in regions of lncRNA was similar to that in protein-coding regions, but they were less polymorphic than surrounding regions. Among the 1998 phenotype-related SNPs identified by GWAS, 52 loci were located directly in lncRNA intervals with a 1.5-fold enrichment compared with the entire genome. More than a 5-fold enrichment was observed for eight PCa risk-related loci in lncRNA genes. We also identified a new PCa risk-related SNP rs3787016 in an lncRNA region at 19q13 (per allele odds ratio = 1.19; 95% confidence interval: 1.11-1.27) with P value of 7.22 x 10(-7). lncRNAs may be important for interpreting and mining GWAS data. However, the catalog of lncRNAs needs to be better characterized in order to fully evaluate the relationship of phenotype-related loci with lncRNAs. AU - Jin, Guangfu AU - Sun, Jielin AU - Isaacs, Sarah D. AU - Wiley, Kathleen E. AU - Kim, Seong-Tae AU - Chu, Lisa W. AU - Zhang, Zheng AU - Zhao, Hui AU - Zheng, Siqun Lilly AU - Isaacs, William B. AU - Xu, Jianfeng DA - 2011/11//undefined DO - 10.1093/carcin/bgr187 IS - 11 J2 - Carcinogenesis KW - *Genome, Human Aged Genetic Predisposition to Disease Genome-Wide Association Study Humans Male Meta-Analysis as Topic Phenotype Polymorphism, Single Nucleotide/*genetics Prostatic Neoplasms/*genetics Risk Factors RNA, Untranslated/*genetics L1 - internal-pdf://3221265411/Jin-2011-Human polymorphisms at long non-codin.pdf LA - eng PY - 2011 SN - 1460-2180 0143-3334 SP - 1655-1659 ST - Human polymorphisms at long non-coding RNAs (lncRNAs) and association with prostate cancer risk T2 - Carcinogenesis TI - Human polymorphisms at long non-coding RNAs (lncRNAs) and association with prostate cancer risk UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3204347/pdf/bgr187.pdf VL - 32 ID - 55 ER - TY - BOOK A3 - Cardoso, J. A2 - Cordeiro, J. A2 - Filipe, J. AB - Meta-synthetic Engineering and Cyberspace for workshop of Meta-synthetic Engineering (CWME) is the methodology for Open Complex Giant System (OCGS), proposed by distinguished scientist Dr H Tsien. CWME synthesizes intelligence from qualitative hypothesis to quantitative studies in terms of human-centred and human-computer cooperated manners, on a meta-level, for dealing with complexities of Knowledge Creative System (KCS). In this paper, a new architecture for constructing knowledge creative systems is proposed that follow on the theory of OCGS and human-centred meta-synthetic engineering, which synthesizes data mining and multi-agent technology, as well as domain experts and users, computers and network, relevant social components, and so on. From a broad perspective, the KCS is OCGS and presents features such as knowledge conductive and human-centred. The system design and implementation of KCS involves organizational factors and interaction of humans- humans, humans-computers, and computers - computers. As a consequence, the collective intelligence emerges from the interaction network of components in a KCS. In addition, some algorithms and tools are developed to analyze the link structure of a KCS to distil the emergent collective wisdom on some topics. AU - Xia, Cui AU - Ruwei, Dai AU - Yaodong, Li AU - Mingchang, Zhao DA - 2007 PY - 2007 SN - 978-972-8865-89-4 ST - Human-centered meta-synthetic engineering for knowledge creative system TI - Human-centered meta-synthetic engineering for knowledge creative system ID - 2150 ER - TY - JOUR AB - From the viewpoint of knowledge and intelligence, to bridge data mining and agents, this paper deal with an efficient way that is building intelligent systems by means of meta-synthesis proposed by Chinese scientists, which is used multiple human intelligence implantations for intelligent system, take full advantage of agents as well as analysis and meta-synthesis. Such systems combine the qualitative quantitative intelligence in knowledge conductive and human-centred Cooperative Problem-Solving (CPS), involving human centred Cooperative Problem-Solving (CPS), meta-synthetic engineering techniques, human human interactions and organisation based on group thinking technology, Human Computer Interactions (HCI), and computer computer interactions based on agents technology. 2008, Inderscience Publishers. AU - Cui, Xia AU - Dai, Ruwei DA - 2008 DO - 10.1504/IJIIDS.2008.017246 IS - 1 J2 - International Journal of Intelligent Information and Database Systems KW - data mining Human computer interaction Intelligent agents Intelligent systems Knowledge based systems Metadata Problem solving N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2008 SN - 17515858 SP - 82-105 ST - A human-centred intelligent system framework: Meta-synthetic engineering T2 - International Journal of Intelligent Information and Database Systems TI - A human-centred intelligent system framework: Meta-synthetic engineering UR - http://dx.doi.org/10.1504/IJIIDS.2008.017246 VL - 2 ID - 1829 ER - TY - JOUR AB - From the viewpoint of knowledge and intelligence, to bridge data mining and agents, this paper deal with an efficient way that is building intelligent systems by means of meta-synthesis proposed by Chinese scientists, which is used multiple human intelligence implantations for intelligent system, take full advantage of agents as well as analysis and meta-synthesis. Such systems combine the qualitative-quantitative intelligence in knowledge conductive and human-centred cooperative problem-solving (CPS), involving human centred cooperative problem-solving (CPS), meta-synthetic engineering techniques, human-human interactions and organisation based on group thinking technology, human-computer interactions (HCI), and computer-computer interactions based on agents technology. AU - Xia, Cui AU - Ruwei, Dai DA - 2008 DO - 10.1504/IJIIDS.2008.017246 IS - 1 J2 - International Journal of Intelligent Information and Database Systems KW - data mining metacomputing Problem solving User interfaces PY - 2008 SN - 1751-5858 SP - 82-105 ST - A human-centred intelligent system framework: meta-synthetic engineering T2 - International Journal of Intelligent Information and Database Systems TI - A human-centred intelligent system framework: meta-synthetic engineering UR - http://dx.doi.org/10.1504/IJIIDS.2008.017246 VL - 2 ID - 1821 ER - TY - CONF AB - Human gut microbiome is a set of bacteria, which is significantly larger number of somatic cells, providing various pathological and biological impacts on a hosting human body system. Recent Next-Generation Sequencing (NGS) enables to perform quantitative analysis on a large scale of human gut microbiome data. Though several studies have investigated the relationship between microbiome behavior and human's attributes (clinical-pathological parameters), such as national origin, age and diet style, these data are not utilized, analyzed and shared fully because the standardization of system is not achieved sufficiently. Thus, the objective of this research is to realize a new analytical system for human gut microbiome data to extract unknown relationships between human attributes and microbial composition with a context-dependent clustering and semantic analysis methods, and contribute to the effective data utilization and system standardization. The most important feature of our system is to analyze the unknown relations of human-microbiome from individual data in a context-dependent way. With this system, an analyst is able to grasp the overview of bacteria data clustered by human attributes in a scatter-diagram or a dendrogram by selecting human attributes as a set of context, and extract the unknown relations of human-microbiome by data mining methods: people in a country have different bacterial components from in other countries; the high percentage of Bacteroides and the low percentage of Prevotella. This integrated database system with analytical visualization functions will contribute to the advanced personalized medicine from the viewpoint of bacteriology. AU - Hikichi, S. AU - Sasaki, S. AU - Kiyoki, Y. C3 - 12th International Conference on Applied Computing 2015, 24-26 Oct. 2015 DA - 2015 KW - bioinformatics data mining meta data Microorganisms pattern clustering semantic networks PB - IADIS Press PY - 2015 SP - 105-12 ST - Human-microbiome-relations extraction and visualization system with context-dependent clustering and semantic analysis T3 - 12th International Conference on Applied Computing 2015. Proceedings TI - Human-microbiome-relations extraction and visualization system with context-dependent clustering and semantic analysis ID - 1545 ER - TY - CONF AB - Hybrid and adaptative system of gas concentration prediction in hard-coal mines is presented in the paper. The system widens functionality of the SMP-NT system which monitors gas concentration in mining excavations based on data collected from sensors. The SMP-NT system has also ability to automatic cut off electric energy in the case of explosion risk identification. A task of the prediction system described in the paper is to anticipate hazards due time in advance. A first part of the prediction system uses linear and nonlinear prediction methods. Moreover it makes use of a solution of metalearning type which negotiates the system final forecast between linear and nonlinear methods. A second part of the system uses knowledge base of typical situations that lead to explosion or fire risk increase. Thanks to Dynamic Time Warping methodology, continuous monitoring of methane and other gases concentration time series is conducted from the current time series similarity to dangerous situations point of view. 2008 IEEE. AU - Sikora, Marek AU - Krzystanek, Zdzislaw AU - Bojko, Bozena AU - Spiechowicz, Karol C3 - 19th International Conference on Systems Engineering, ICSEng 2008, August 19, 2008 - August 21, 2008 DA - 2008 DO - 10.1109/ICSEng.2008.32 KW - Coal Coal gas Coal mines Concentration (process) Continuous time systems dynamic programming Electric load forecasting Forecasting Gases Industrial engineering Knowledge based systems Methane mining Sensor networks Shape memory effect Systems engineering Time series analysis Windows operating system N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2008 SP - 159-164 ST - Hybrid adaptative system of gas concentration prediction in hard-coal mines T3 - Proceedings of 19th International Conference on Systems Engineering, ICSEng 2008 TI - Hybrid adaptative system of gas concentration prediction in hard-coal mines UR - http://dx.doi.org/10.1109/ICSEng.2008.32 ID - 1038 ER - TY - JOUR AB - Clustering is an important and popular technique in data mining. It partitions a set of objects in such a manner that objects in the same clusters are more similar to each another than objects in the different cluster according to certain predefined criteria. K-means is simple yet an efficient method used in data clustering. However, K-means has a tendency to converge to local optima and depends on initial value of cluster centers. In the past, many heuristic algorithms have been introduced to overcome this local optima problem. Nevertheless, these algorithms too suffer several short-comings. In this paper, we present an efficient hybrid evolutionary data clustering algorithm referred to as K-MCI, whereby, we combine K-means with modified cohort intelligence. Our proposed algorithm is tested on several standard data sets from UCI Machine Learning Repository and its performance is compared with other well-known algorithms such as K-means, K-means++, cohort intelligence (CI), modified cohort intelligence (MCI), genetic algorithm (GA), simulated annealing (SA), tabu search (TS), ant colony optimization (ACO), honey bee mating optimization (HBMO) and particle swarm optimization (PSO). The simulation results are very promising in the terms of quality of solution and convergence speed of algorithm. 2014 Elsevier Ltd. All rights reserved. AU - Krishnasamy, Ganesh AU - Kulkarni, Anand J. AU - Paramesran, Raveendran DA - 2014 DO - 10.1016/j.eswa.2014.03.021 IS - 13 J2 - Expert Systems with Applications KW - Ant colony optimization artificial intelligence Cluster Analysis Clustering algorithms Genetic algorithms Heuristic algorithms Particle swarm optimization (PSO) Simulated annealing Tabu search L1 - internal-pdf://0204428608/Krishnasamy-2014-A hybrid approach for data cl.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 09574174 SP - 6009-6016 ST - A hybrid approach for data clustering based on modified cohort intelligence and K-means T2 - Expert Systems with Applications TI - A hybrid approach for data clustering based on modified cohort intelligence and K-means UR - http://dx.doi.org/10.1016/j.eswa.2014.03.021 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S095741741400150X/1-s2.0-S095741741400150X-main.pdf?_tid=82ce74f8-833f-11e6-9e74-00000aab0f6b&acdnat=1474822128_236222b1d2ce5f492975538f0e9228bb VL - 41 ID - 803 ER - TY - JOUR AB - Metaheuristics represent an important class of techniques to solve, approximately, hard combinatorial optimization problems for which the use of exact methods is impractical. In this work, we propose a hybrid version of the Greedy Randomized Adaptive Search Procedures (GRASP) metaheuristic, which incorporates a data mining process, to solve the p-median problem. We believe that patterns obtained by a data mining technique, from a set of suboptimal solutions of a combinatorial optimization problem, can be used to guide metaheuristic procedures in the search for better solutions. Traditional GRASP is an iterative metaheuristic which returns the best solution reached over all iterations. In the hybrid GRASP proposal, after executing a significant number of iterations, the data mining process extracts patterns from an elite set of suboptimal solutions for the p-median problem. These patterns present characteristics of near optimal solutions and can be used to guide the following GRASP iterations in the search through the combinatorial solution space. Computational experiments, comparing traditional GRASP and different data mining hybrid proposals for the p-median problem, showed that employing patterns mined from an elite set of suboptimal solutions made the hybrid GRASP find better results. Besides, the conducted experiments also evidenced that incorporating a data mining technique into a metaheuristic accelerated the process of finding near optimal and optimal solutions. 2011 Wiley Periodicals, Inc., A Wiley Company. AU - Plastino, Alexandre AU - Fuchshuber, Richard AU - Martins, Simone de L. AU - Freitas, Alex A. AU - Salhi, Said DA - 2011 DO - 10.1002/sam.10116 IS - 3 J2 - Statistical Analysis and Data Mining KW - Combinatorial optimization data mining Experiments Heuristic algorithms Heuristic methods Iterative methods mining Optimal systems Solution mining N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 19321872 SP - 313-335 ST - A hybrid data mining metaheuristic for the p-median problem T2 - Statistical Analysis and Data Mining TI - A hybrid data mining metaheuristic for the p-median problem UR - http://dx.doi.org/10.1002/sam.10116 VL - 4 ID - 1703 ER - TY - JOUR AB - Business workflow analysis has become crucial in strategizing how to create competitive edge. Consequently, deriving a series of positively correlated association rules from workflows is essential to identify strong relationships among key business activities. These rules can subsequently, serve as best practices. We have addressed this problem by hybridizing genetic algorithm with association rules. First, we used correlation to replace support-confidence in genetic algorithm to enable dynamic data-driven determination of support and confidence, i.e.; use correlation to optimize the derivation of positively correlated association rules. Second, we used correlation as fitness function to support upward closure in association rules (hitherto, association rules support only downward closure). The ability to support upward closure allows derivation of the most specific association rules (business model) from less specific association rules (business meta-model) and generic association rules (reference meta-model). Downward closure allows the opposite. Upward-downward closures allow the manager to drill-down and analyze based on the degree of dependency among business activities. Subsequently, association rules can be used to describe best practices at the model, meta-model and reference meta-model levels with the most general positively dependent association rules as reference meta-model. Experiments are based on an online hotel reservation system. 2012 Elsevier Ltd. All rights reserved. AU - Lim, Amy H. L. AU - Lee, Chien-Sing AU - Raman, Murali DA - 2012 DO - 10.1016/j.eswa.2012.02.183 IS - 12 J2 - Expert Systems with Applications KW - Association rules Competitive intelligence Electronic commerce Genetic algorithms Management Managers Mathematical models Reservation systems L1 - internal-pdf://0914600930/Lim-2012-Hybrid genetic algorithm and associat.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 09574174 SP - 10544-10551 ST - Hybrid genetic algorithm and association rules for mining workflow best practices T2 - Expert Systems with Applications TI - Hybrid genetic algorithm and association rules for mining workflow best practices UR - http://dx.doi.org/10.1016/j.eswa.2012.02.183 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0957417412004526/1-s2.0-S0957417412004526-main.pdf?_tid=b23742fe-8341-11e6-a8f1-00000aacb35f&acdnat=1474823067_22a1a7643f581114f6d7679358ffe974 VL - 39 ID - 1140 ER - TY - JOUR AB - Improving performance of the plant layout requires careful consideration of various factors including changes in flows between departments over time and design of transportation system. This paper primarily presents a comprehensive dynamic layout design model which involves the design of facility plant layouts problems based on a multi-period planning horizon. The presented model integrates layout and transportation system design via considering more realistic assumptions, such as taking account of fixed-position departments and distance between departments that endanger each other. In addition, specific criteria such as capacity, cost and reliability of facilities are considered in transportation system design decision. The combinatorial nature of the problem necessitates using a meta-heuristic approach to deal with this issue. Therefore, an efficient hybrid meta-heuristic based on variable neighborhood search (VNS) and simulated annealing (SA) is proposed to design a proper dynamic layout for a specific planning horizon. The validity of the superiority of the proposed solution method is proven through comparing with all of the other solution methods upon the original model available in the literature. Finally, an extensive computational results lead to the conclusion that the proposed method outperforms other existing methods. In addition, solving an example from the dynamic layout design of a home appliance manufacturer demonstrates the efficiency of the proposed model and solution algorithm in terms of solution quality to solve real-world instances. AU - Hasani, A. AU - Soltani, R. AU - Eskandarpour, M. DA - 2015 IS - 8 J2 - International Journal of Engineering, Transactions B: Applications KW - Design Domestic appliances Heuristic algorithms Heuristic methods Optimization Plant layout Simulated annealing Systems analysis transportation N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 1728-144X SP - 1215-1222 ST - A hybrid meta-heuristic for the dynamic layout problem with transportation system design T2 - International Journal of Engineering, Transactions B: Applications TI - A hybrid meta-heuristic for the dynamic layout problem with transportation system design VL - 28 ID - 1411 ER - TY - CONF AB - The challenges facing the Department of Homeland Security (DHS) require not only multi-dimensional, but also multi-scale data analysis. In particular, the ability to seamlessly move from summary information, such as trends, into detailed analysis of individual entities, while critical for law enforcement, typically requires manually transferring information among multiple tools. Such time-consuming and error prone processes significantly hamper the analysts' ability to quickly explore data and identify threats. As part of a DHS Science and Technology effort, we have been developing and deploying for Immigration and Customs Enforcement the CubeLink system integrating information between relational data cubes and link analytical semantic graphs. In this paper we describe CubeLink in terms of the underlying components, their integration, and the formal mapping from multidimensional data analysis into link analysis. In so doing, we provide a formal basis for one particular form of automatic schema-ontology mapping from OLAP data cubes to semantic graphs databases, and point the way towards future "intelligent" OLAP data cubes equipped with meta-data about their dimensional typing. AU - Joslyn, C. AU - Gillen, D. AU - Burke, J. AU - Critchlow, T. AU - Damante, M. AU - Fernandes, R. C3 - 2008 IEEE Conference on Technologies for Homeland Security (THS '08), 12-13 May 2008 DA - 2008 KW - data analysis data mining law administration national security PB - IEEE PY - 2008 SP - 161-6 ST - Hybrid multidimensional relational and link analytical knowledge discovery for law enforcement T3 - 2008 IEEE Conference on Technologies for Homeland Security (THS '08) TI - Hybrid multidimensional relational and link analytical knowledge discovery for law enforcement ID - 1190 ER - TY - JOUR AB - The authors propose a new multilayer approach for automatic text summaries. In the first layer, they use two techniques of extraction, one after the other: scoring of phrases, and similarity that aims to eliminate redundant phrases without losing the theme of the text. While the second layer aims to optimize the results of the previous layer by a meta-heuristic based on social spiders. Its objective function of the optimization is to maximize the sum of similarity between phrases of the candidate summary in order to keep the theme of the text, minimize the sum of scores in order to increase the summarization rate; this optimization also will give a candidate's summary where the order of the phrases changes compared to the original text. The third and final layer concerned in choosing a best summary from all candidates summaries generated by optimization layer, we opted for the technique of voting with a simple majority. AU - Boudia, M. A. AU - Hamou, R. M. AU - Amine, A. AU - Rahmani, M. E. AU - Rahmani, A. DA - 2015/07// DO - 10.4018/IJCINI.2015070104 IS - 3 J2 - International Journal of Cognitive Informatics and Natural Intelligence KW - data mining optimisation text analysis PY - 2015 SN - 1557-3958 SP - 65-86 ST - Hybridization of social spiders and extractions techniques for automatic text summaries T2 - International Journal of Cognitive Informatics and Natural Intelligence TI - Hybridization of social spiders and extractions techniques for automatic text summaries UR - http://dx.doi.org/10.4018/IJCINI.2015070104 http://www.igi-global.com/article/hybridization-of-social-spiders-and-extractions-techniques-for-automatic-text-summaries/140687 VL - 9 ID - 1204 ER - TY - CONF AB - In many industry and research areas, data mining is a crucial process. This paper presents an evolving structure of classifiers (random forest) where the trees are generated by hybrid method combining Ant Colony metaheuristics and Evolutionary computing technique. The method benefits from the stochastic process and population approach, which allows the algorithm to evolve more efficiently than each method alone. As the method is similar to random forest generation, it can be also used for feature selection. The paper also discusses the parameter estimation for the method. Tests on real data (UCI and real biomedical data) have been performed and evaluated. The average accuracy of the method over MIT-BIH database with normalized data and equalized classes is sensitivity 93.22% and specificity 87.13%. 2007 IEEE. AU - Bursa, Miroslav AU - Lhotska, Lenka AU - Macas, Martin C3 - 7th International Conference on Hybrid Intelligent Systems, HIS 2007, September 17, 2007 - September 19, 2007 DA - 2007 DO - 10.1109/ICHIS.2007.4344043 KW - Arsenic compounds Decision support systems Heuristic programming Information Management Intelligent control Intelligent systems Knowledge management Parameter estimation Population statistics random processes Search Engines Sensitivity analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2007 SP - 150-155 ST - Hybridized swarm metaheuristics for evolutionary random forest generation T3 - Proceedings - 7th International Conference on Hybrid Intelligent Systems, HIS 2007 TI - Hybridized swarm metaheuristics for evolutionary random forest generation UR - http://dx.doi.org/10.1109/ICHIS.2007.4344043 ID - 807 ER - TY - CONF AB - The following topics are dealt with: multiscreen world; MPEG-21 UD; MPEG DASH; high dynamic range television system; LTE; 4G broadcast; UHD inter-codec interference; HTTP adaptive streaming clients; audiovisual media services; broadcast TV; audio-over-ip standard; avatar-based sign language; 4K HEVC; radio equipment directive; 3-dimensional content creation; visual radio production; hybrid cloud; Rai active news; next generation immersive content; high speed data mining; context-based hybrid content radio; live event broadcasting; interactive streaming; HEVC hybrid broadcast broadband video services; human sensing revolution; real-time metadata; natural language interface; file-based programme production; attack anatomy analysis; cloud-based predictive analytics; HEVC/H.265 codec system; and UHDTV broadcasting. C3 - IBC 2015, 10-14 Sept. 2015 DA - 2015 KW - 4G mobile communication audio-visual systems data mining high definition television hypermedia image coding Long Term Evolution meta data natural language interfaces next generation networks radio equipment television broadcasting transport protocols video codecs video coding PB - IET PY - 2015 SP - 469 ST - IBC 2015 TI - IBC 2015 ID - 1298 ER - TY - JOUR AB - A database of 1,736 patients and 2,511 gait analyses was reviewed to identify for trials where the first rocker was absent. A fuzzy c-means algorithm was used to identify sagittal ankle kinematic patterns and three groups were identified. The first showed a progressive dorsiflexion during the stance phase, while the second had a short-lived dorsiflexion, followed by a progressive plantarflexion. The third group exhibited a double bump pattern, moving successively from a short-lived dorsiflexion to a short-lived plantarflexion and then returning to a further short-lived dorsiflexion before ending with plantarflexion until toe-off. The three patterns were linked to different neurological conditions. Myopathy, neuropathy and arthogryposis essentially revealed group 1 patterns, whereas idiopathic toe-walkers mainly displayed group 2 patterns. Cerebral palsy patients, however, were relatively homogeneously distributed amongst the three groups. Able-bodied subjects walking on their toes showed a high proportion of unclassifiable ankle patterns, due to a variable gait whilst toe walking. Despite the variety of neurological conditions included in this meta-analysis repeatable biomechanical patterns appeared that could influence therapeutic management. AU - Armand, Stephane AU - Watelain, Eric AU - Mercier, Moise AU - Lensel, Ghislaine AU - Lepoutre, Francois-Xavier DA - 2006/02//undefined DO - 10.1016/j.gaitpost.2005.02.007 IS - 2 J2 - Gait Posture KW - *Algorithms *Fuzzy Logic *Toes Adolescent Biomechanical Phenomena Databases as Topic Electromyography Female Gait Disorders, Neurologic/*physiopathology Humans Lower Extremity/physiopathology Male Walking/*physiology L1 - internal-pdf://3264626266/Armand-2006-Identification and classification.pdf LA - eng PY - 2006 SN - 0966-6362 0966-6362 SP - 240-248 ST - Identification and classification of toe-walkers based on ankle kinematics, using a data-mining method T2 - Gait & posture TI - Identification and classification of toe-walkers based on ankle kinematics, using a data-mining method UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0966636205000317/1-s2.0-S0966636205000317-main.pdf?_tid=e902a72a-832c-11e6-9011-00000aab0f26&acdnat=1474814139_e8559b3b658cc257eecf474bf89032aa VL - 23 ID - 274 ER - TY - JOUR AB - OBJECTIVE: To identify and describe randomized controlled trials (RCTs) and systematic reviews (SRs) on patient safety published from 1973 onward. MATERIALS AND METHODS: We handsearched a total of 12 medical journals published in English with contents related to patient safety to identify RCTs and SRs published between 1973 and the end of 2010. The results obtained from this search were complemented with an additional search in MEDLINE. The documents were classified by area of specialty or service in which the intervention was applied, level of preventive action, and type of patient safety incident, the latter in accordance with the International Classification for Patient Safety proposed by the World Health Organization (WHO). The main features of the identified studies are also described. RESULTS: A total of 787 issues of 12 journals published between 1973 and 2010 were handsearched. This procedure yielded 10,162 references, of which, 131 corresponded to RCTs and 127 to SRs. A parallel MEDLINE search identified only about two-thirds of these articles. Of all the studies identified, 83 RCTs and 64 SRs addressed interventions related to patient safety. The types of incident related to patient safety that were included most often in RCTs involved the clinical process, and for SRs, those related to resources/organizational management. On average, only 3.5 RCTs and 3.4 SRs were published per year, many of which had significant deficiencies in the reported information, such as, for instance, a lack of details on the methodology used. CONCLUSIONS: The number of RCTs and SRs on patient safety published in specialized journals is scarce. No studies on interventions to improve the safety of the handling of blood and derivatives, infections related to health care, nutrition, or infrastructure were identified as a result of our search. Handsearching plays a key role in the identification of all the clinical trials that could be included in SRs on patient safety interventions. Knowing the content of RCTs and SRs published on patient safety can better target future research. AU - Barajas-Nava, Leticia Andrea AU - Calvache, Jose Andres AU - Lopez-Alcalde, Jesus AU - Sola, Ivan AU - Cosp, Xavier Bonfill DA - 2013/06//undefined DO - 10.1097/PTS.0b013e31827cda38 IS - 2 J2 - J Patient Saf KW - *Data Mining *Patient Safety *Periodicals as Topic *Randomized Controlled Trials as Topic *Review Literature as Topic Bibliometrics Humans MEDLINE/statistics & numerical data L1 - internal-pdf://4087448091/Barajas-Nava-2013-Identification and descripti.pdf LA - eng PY - 2013 SN - 1549-8425 1549-8417 SP - 79-86 ST - Identification and description of randomized controlled trials and systematic reviews on patient safety published in medical journals T2 - Journal of patient safety TI - Identification and description of randomized controlled trials and systematic reviews on patient safety published in medical journals UR - http://ovidsp.tx.ovid.com.ezproxy.lib.vt.edu/ovftpdfs/FPDDNCFBHHEJPL00/fs046/ovft/live/gv025/01209203/01209203-201306000-00005.pdf VL - 9 ID - 128 ER - TY - JOUR AN - 110737804. Language: English. Entry Date: 20151110. Revision Date: 20160721. Publication Type: Article. Journal Subset: Blind Peer Reviewed AU - Bell, Shannon M. AU - Edwards, Stephen W. DA - 2015/11// DB - c8h DO - 10.1289/ehp.1409138 DP - EBSCOhost IS - 11 J2 - Environmental Health Perspectives KW - Association (Research) Biological Markers -- Blood Biological Markers -- Urine Carboxylic Acids -- Adverse Effects Case Studies -- Evaluation Chronic Disease -- Chemically Induced Confidence Intervals Data Analysis Software Data Collection Methods Data Mining -- Methods Descriptive Statistics Diabetes Mellitus -- Chemically Induced Diabetes Mellitus -- Risk Factors Environmental Exposure -- Adverse Effects Environmental Monitoring -- Methods Hazardous Materials -- Classification Human meta analysis Odds Ratio Outcomes (Health Care) Pesticides -- Adverse Effects P-Value Race Factors Surveys -- United States United States L1 - internal-pdf://1431419379/Bell-2015-Identification and Prioritization of.pdf N1 - Editorial Board Reviewed; Peer Reviewed; Public Health; USA. Special Interest: Evidence-Based Practice. NLM UID: 0330411. PY - 2015 SN - 0091-6765 SP - 1193-1199 ST - Identification and Prioritization of Relationships between Environmental Stressors and Adverse Human Health Impacts T2 - Environmental Health Perspectives TI - Identification and Prioritization of Relationships between Environmental Stressors and Adverse Human Health Impacts UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=110737804&scope=site https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4629746/pdf/ehp.1409138.pdf VL - 123 ID - 389 ER - TY - JOUR AB - An identification method of coal and rock interface based on principal component analysis was proposed, and principle of principal component analysis and identification process was described in details. The method uses multiple sensors to monitor parameters simultaneously of shearer when the shearer is cutting coal, and does real-time principal component analysis of the parameters. The coal and mine interface is identified by capturing exceptions in cutting course according to statistics of HotellingT2 and SPE which were established with main meta information. The practical application showed that the method can identify coal and rock interface rapidly and accurately. AU - He, Jia-jian AU - Chen, Zhuo AU - Wu, Meng-tong DA - 2011/07// IS - 7 J2 - Industry and Mine Automation KW - Coal cutting cutting tools Principal Component Analysis Rocks statistical distributions PY - 2011 SN - 1671-251X SP - 76-8 ST - Identification Method of Coal and Rock Interface Based on PCA T2 - Industry and Mine Automation TI - Identification Method of Coal and Rock Interface Based on PCA VL - 37 ID - 666 ER - TY - JOUR AB - The search for fast and reliable methods allowing for extraction of biomarker genes, e.g. responsible for a plant resistance to a certain pathogen, is one of the most important and highly exploited data mining problem in bioinformatics. Here we describe a simple and efficient method suitable for combining results from multiple single-channel microarray experiments for meta-analysis. A new technique presented here makes use of the fuzzy set logic for the initial gene selection and of the machine learning algorithm AdaBoost to retrieve a set of genes where expression profiles are the most different between the resistant and susceptible classes. As a proof of concept, our method has been applied to the analysis of a gene expression dataset composed of many independent microarray experiments on wheat head tissue, to identify genes that are biomarkers of resistance to the fungus Fusarium graminearum. We used microarray data from many experiments performed on wheat lines of various resistance level. The resulting set of genes was validated by qPCR experiments. AU - Wojcik, Piotr Iwo AU - Ouellet, Therese AU - Balcerzak, Margaret AU - Dzwinel, Witold DA - 2015/08//undefined DO - 10.1142/S0219720015500134 IS - 4 J2 - J Bioinform Comput Biol KW - *Algorithms AdaBoost classifier Computational Biology/*methods Databases, Genetic differentially expressed genes Disease Resistance/genetics fusarium head blight Fusarium/*pathogenicity Fuzzy Logic fuzzy set representation Gene Expression Profiling gene ranking Gene selection Genetic Markers machine learning Meta-Analysis as Topic Oligonucleotide Array Sequence Analysis/*methods Reproducibility of results Triticum/*genetics/*physiology wheat resistance LA - eng PY - 2015 SN - 1757-6334 0219-7200 SP - 1550013 ST - Identification of biomarker genes for resistance to a pathogen by a novel method for meta-analysis of single-channel microarray datasets T2 - Journal of bioinformatics and computational biology TI - Identification of biomarker genes for resistance to a pathogen by a novel method for meta-analysis of single-channel microarray datasets VL - 13 ID - 3 ER - TY - JOUR AB - Aims Inferring environmental conditions from characteristic patterns of plant co-occurrences can be crucial for the development of conservation strategies concerning secondary neotropical forests. However, no methodological agreement has been achieved so far regarding the identification and classification of characteristic groups of vascular plant species in the tropics. This study examines botanical and, in particular, statistical aspects to be considered in such analyses. Based on these, we propose a novel data-driven approach for the identification of characteristic plant co-occurrences in neotropical secondary mountain forests. Methods Floristic inventory data were gathered in secondary tropical mountain forests in Ecuador Vegetation classification was performed h coupling locally adaptive isometric feature mapping, a non-lineal ordination method and fuzzy-c-means clustering. This approach was designed for dealing With underlying non-linearities and uncertainties in the inventory data. Important Findings The results indicate that the applied non-linear mapping in combination With fuzzy classification of species occurrence allows an effective identification or characteristic groups of co-occurring species as fuzzy-defined clusters. The selected species indicated groups representing characteristic life-form distributions, as they correspond to various stages of forest regeneration. Combining the identified 'characteristic Species groups' with meta-information derived from accompanying studies indicated that the clusters can also be related to habitat conditions. In Conclusion, we identified species groups either characteristic of different stages of forest succession after cleal-cutting or of impact by fire ot a landslide. We expect that the proposed data-mining method will be useful for vegetation classification where no a priori knowledge is available. AU - Mahecha, Miguel D. AU - Martinez, Alfredo AU - Lange, Holger AU - Reichstein, Markus AU - Beck, Erwin DA - 2009/03// DO - 10.1093/jpe/rtp001 IS - 1 PY - 2009 SN - 1752-9921 SP - 31-41 ST - Identification of characteristic plant co-occurrences in neotropical secondary montane forests T2 - Journal of Plant Ecology TI - Identification of characteristic plant co-occurrences in neotropical secondary montane forests VL - 2 ID - 2181 ER - TY - JOUR AB - RATIONALE: Despite significant advances in our knowledge of the genetic architecture of asthma, specific contributors to the variability in the burden between populations remain uncovered. OBJECTIVE: To identify additional genetic susceptibility factors of asthma in European American and African American populations. METHODS: A phenotyping algorithm mining Electronic Medical Records was developed and validated to recruit cases with asthma and controls from the eMERGE (electronic Medical Records and Genomics) network. Genome-wide association analyses were performed in pediatric and adult asthma cases and controls from European and African American ancestry followed by meta-analysis. Nominally significant results were re-analyzed conditioning on allergy status. MAIN RESULTS: The validation of the algorithm yielded an average of 95.8% positive predictive values for both cases and controls. The algorithm accrued 21,644 subjects (65.83% European American and 34.17% African American). We identified four novel population-specific associations with asthma after meta-analyses: loci 6p21.31, 9p21.2 and 10q21.3 in the European American population and the PTGES gene in African Americans. TEK at 9p21.2, which encodes TIE2, has been shown to be involved in remodeling the airway wall in asthma and the association remained significant after conditioning by allergy. PTGES, which encodes the prostaglandin E synthase, has also been linked to asthma, where deficient prostaglandin E2 synthesis has been associated with airway remodeling. CONCLUSION: This study adds to our understanding of the genetic architecture of asthma in European Americans and African Americans and reinforces the need to study populations of diverse ethnic backgrounds to identify shared and unique genetic predictors of asthma. AU - Almoguera, Berta AU - Vazquez, Lyam AU - Mentch, Frank AU - Connolly, John AU - Pacheco, Jennifer A. AU - Sundaresan, Agnes S. AU - Peissig, Peggy L. AU - Linneman, James G. AU - McCarty, Catherine A. AU - Crosslin, David AU - Carrell, David S. AU - Lingren, Todd AU - Namjou-Khales, Bahram AU - Harley, John B. AU - Larson, Eric AU - Jarvik, Gail P. AU - Brilliant, Murray AU - Williams, Marc S. AU - Kullo, Iftikhar J. AU - Hysinger, Erik B. AU - Sleiman, Patrick M. A. AU - Hakonarson, Hakon DA - 2016/09/09/ DO - 10.1164/rccm.201604-0861OC J2 - Am J Respir Crit Care Med KW - Asthma Genetics GWAS LA - Eng PY - 2016 SN - 1535-4970 1073-449X ST - Identification of Four Novel Loci in Asthma in European and African American Populations T2 - American journal of respiratory and critical care medicine TI - Identification of Four Novel Loci in Asthma in European and African American Populations ID - 70 ER - TY - JOUR AB - Carbon (C) inputs and nutrient availability are known to affect soil organic carbon (SOC) stocks. However, general rules regarding the operation of these factors across a range of soil nutrient availabilities and substrate qualities are unidentified. "Priming" (stimulated decomposition by labile C inputs) and 'preferential substrate utilization' (retarded decomposition due to shifts in community composition towards microbes that do not mineralize SOC) are two hypotheses to explain effects of labile C additions on SOC dynamics. For effects of nutrient additions (nitrogen and phosphorus) on SOC dynamics, the stoichiometric (faster decomposition of materials of low carbon-to-nutrient ratios) and 'microbial mining' (that is, reduced breakdown of recalcitrant C forms for nutrients under fertile conditions) hypotheses have been proposed. Using the natural gradient of soil nutrient availability and substrate quality of a chronosequence, combined with labile C and nutrient amendments, we explored the support for these contrasting hypotheses. Additions of labile C, nitrogen (N), phosphorus (P), and combinations of C and N and C and P were applied to three sites: 2-year fallow grassland, mature grassland and forest, and the effects of site and nutrient additions on litter decomposition and soil C dynamics were assessed. The response to C addition supported the preferential substrate hypothesis for easily degradable litter C and the priming hypothesis for SOC, but only in nitrogen-enriched soils of the forest site. Responses to N addition supported the microbial mining hypothesis irrespective of C substrate (litter or SOC), but only in the forest site. Further, P addition effects on SOC support the stoichiometric hypothesis; P availability appeared key to soil C release (priming) in the forest site if labile C and N is available. These results clearly link previously contrasting hypotheses of the factors controlling SOC with the natural gradient in litter quality and nutrient availability that exists in ecosystems at different successional stages. A holistic theory that incorporates this variability of responses, due to different mechanisms, depending on nutrient availability and substrate quality is essential for devising management strategies to safeguard soil C stocks. AU - Milcu, Alexandru AU - Heim, Angela AU - Ellis, Richard J. AU - Scheu, Stefan AU - Manning, Pete DA - 2011/08// DO - 10.1007/s10021-011-9440-z IS - 5 PY - 2011 SN - 1432-9840 SP - 710-719 ST - Identification of General Patterns of Nutrient and Labile Carbon Control on Soil Carbon Dynamics Across a Successional Gradient T2 - Ecosystems TI - Identification of General Patterns of Nutrient and Labile Carbon Control on Soil Carbon Dynamics Across a Successional Gradient VL - 14 ID - 2167 ER - TY - JOUR AB - Objective: Identification of colorectal cancer (CRC) metastasis genes is one of the most important issues in CRC research. For the purpose of mining CRC metastasis-associated genes, an integrated analysis of microarray data was presented, by combined with evidence acquired from comparative genomic hybridization (CGH) data. Methods: Gene expression profile data of CRC samples were obtained at Gene Expression Omnibus (GEO) website. The 15 important chromosomal aberration sites detected by using CGH technology were used for integrated genomic and transcriptomic analysis. Significant Analysis of Microarray (SAM) was used to detect significantly differentially expressed genes across the whole genome. The overlapping genes were selected in their corresponding chromosomal aberration regions, and analyzed by using the Database for Annotation, Visualization and Integrated Discovery (DAVID). Finally, SVM-T-RFE gene selection algorithm was applied to identify metastasis-associated genes in CRC. Results: A minimum gene set was obtained with the minimum number [14] of genes, and the highest classification accuracy (100%) in both PRI and META datasets. A fraction of selected genes are associated with CRC or its metastasis. Conclusions: Our results demonstrated that integration analysis is an effective strategy for mining cancer-associated genes. AU - Li, Xiaobo AU - Peng, Sihua DA - 2013/12// DO - 10.3978/j.issn.1000-9604.2013.11.01 IS - 6 L1 - internal-pdf://2236123282/Li-2013-Identification of metastasis-associate.pdf PY - 2013 SN - 1000-9604 SP - 623-636 ST - Identification of metastasis-associated genes in colorectal cancer through an integrated genomic and transcriptomic analysis T2 - Chinese Journal of Cancer Research TI - Identification of metastasis-associated genes in colorectal cancer through an integrated genomic and transcriptomic analysis UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3872552/pdf/cjcr-25-06-623.pdf VL - 25 ID - 2226 ER - TY - JOUR AB - A proof-of-principle demonstration for extracting military-related technologies from a country's total technology publications has been performed, and applied to the Indian science and technology literature#. The method is general and can be applied to the extraction of any meta-category (e.g., intelligence-relevant technologies, infrastructure-relevant technologies, etc) which is not easily obtained from document clustering or factor analysis. The methodology for identifying relevant literature on military science appears to provide credible results. The volume of literature retrieved will vary depending on how strongly relevant is the desired literature. For the same definitions of 'military relevant', the volume of India's literature in the Ei Compendex database was an order of magnitude less than that of the USA or China. 2010, DESIDOC. AU - Kostoff, Ronald N. AU - Bhattacharya, Sujit DA - 2010 IS - 3 J2 - Defence Science Journal KW - Technology L1 - internal-pdf://0634172025/Kostoff-2010-Identification of military-relate.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2010 SN - 0011748X SP - 259-270 ST - Identification of military-related science and technology T2 - Defence Science Journal TI - Identification of military-related science and technology VL - 60 ID - 767 ER - TY - JOUR AB - Aims/IntroductionType 1 diabetes mellitus is a serious disorder characterized by destruction of pancreatic -cells, culminating in absolute insulin deficiency. Genetic factors contribute to the susceptibility of type 1 diabetes mellitus. The aim of the present study was to identify more susceptibility genes of type 1 diabetes mellitus. Materials and MethodsWe carried out an initial gene-based genome-wide association study in a total of 4,075 type 1 diabetes mellitus cases and 2,604 controls by using the Gene-based Association Test using Extended Simes procedure. Furthermore, we carried out replication studies, differential expression analysis and functional annotation clustering analysis to support the significance of the identified susceptibility genes. ResultsWe identified 452 genes associated with type 1 diabetes mellitus, even after adapting the genome-wide threshold for significance (P<9.05E-04). Among these genes, 171 were newly identified for type 1 diabetes mellitus, which were ignored in single-nucleotide polymorphism-based association analysis and were not previously reported. We found that 53 genes have supportive evidence from replication studies and/or differential expression studies. In particular, seven genes including four non-human leukocyte antigen (HLA) genes (RASIP1, STRN4, BCAR1 and MYL2) are replicated in at least one independent population and also differentially expressed in peripheral blood mononuclear cells or monocytes. Furthermore, the associated genes tend to enrich in immune-related pathways or Gene Ontology project terms. ConclusionsThe present results suggest the high power of gene-based association analysis in detecting disease-susceptibility genes. Our findings provide more insights into the genetic basis of type1 diabetes mellitus. AU - Qiu, Ying-Hua AU - Deng, Fei-Yan AU - Li, Min-Jing AU - Lei, Shu-Feng DA - 2014/11// DO - 10.1111/jdi.12228 IS - 6 PY - 2014 SN - 2040-1116 SP - 649-656 ST - Identification of novel risk genes associated with type 1 diabetes mellitus using a genome-wide gene-based association analysis T2 - Journal of Diabetes Investigation TI - Identification of novel risk genes associated with type 1 diabetes mellitus using a genome-wide gene-based association analysis VL - 5 ID - 2205 ER - TY - JOUR AB - Type 2 Diabetes (T2D) is a highly prevalent chronic metabolic disease with strong co-morbidity with obesity and cardiovascular diseases. There is growing evidence supporting the notion that a crosstalk between mitochondria and the insulin signaling cascade could be involved in the etiology of T2D and insulin resistance. In this study we investigated the molecular basis of this crosstalk by using systems biology approaches. We combined, filtered, and interrogated different types of functional interaction data, such as direct protein-protein interactions, co-expression analyses, and metabolic and signaling dependencies. As a result, we constructed the mitochondria-insulin (MITIN) network, which highlights 286 genes as candidate functional linkers between these two systems. The results of internal gene expression analysis of three independent experimental models of mitochondria and insulin signaling perturbations further support the connecting roles of these genes. In addition, we further assessed whether these genes are involved in the etiology of T2D using the genome-wide association study meta-analysis from the DIAGRAM consortium, involving 8,130 T2D cases and 38,987 controls. We found modest enrichment of genes associated with T2D amongst our linker genes (p = 0.0549), including three already validated T2D SNPs and 15 additional SNPs, which, when combined, were collectively associated to increased fasting glucose levels according to MAGIC genome wide meta-analysis (p = 8.12x10(-5)). This study highlights the potential of combining systems biology, experimental, and genome-wide association data mining for identifying novel genes and related variants that increase vulnerability to complex diseases. AU - Mercader, Josep M. AU - Puiggros, Montserrat AU - Segre, Ayellet V. AU - Planet, Evarist AU - Sorianello, Eleonora AU - Sebastian, David AU - Rodriguez-Cuenca, Sergio AU - Ribas, Vicent AU - Bonas-Guarch, Silvia AU - Draghici, Sorin AU - Yang, Chenjing AU - Mora, Silvia AU - Vidal-Puig, Antoni AU - Dupuis, Josee AU - Florez, Jose C. AU - Zorzano, Antonio AU - Torrents, David DA - 2012 DO - 10.1371/journal.pgen.1003046 IS - 12 J2 - PLoS Genet KW - *Diabetes Mellitus, Type 2/genetics/metabolism *Genome-Wide Association Study *Mitochondria/genetics/metabolism Gene Expression Regulation Genetic Predisposition to Disease Glucose/metabolism Humans Insulin/genetics/metabolism Insulin Resistance/*genetics Metabolic Networks and Pathways Obesity/genetics Polymorphism, Single Nucleotide Systems Biology LA - eng PY - 2012 SN - 1553-7404 1553-7390 SP - e1003046 ST - Identification of novel type 2 diabetes candidate genes involved in the crosstalk between the mitochondrial and the insulin signaling systems T2 - PLoS genetics TI - Identification of novel type 2 diabetes candidate genes involved in the crosstalk between the mitochondrial and the insulin signaling systems VL - 8 ID - 158 ER - TY - CONF AB - This research describes a general method to automatically clean organizational and business names variants within large databases, such as: patent databases, bibliographic databases, databases in business information systems, or any other database containing organisational name variants. The method clusters name variants of organizations based on similarities of their associated meta-data, like, for example, postal code and email domain data. The method is divided into a rule-based scoring system and a clustering system. The method is tested on the cleaning of research organisations in the Web of Science database for the purpose of bibliometric analysis and scientific performance evaluation. The results of the clustering are evaluated with metrics such as precision and recall analysis on a verified data set. The evaluation shows that our method performs well and is conservative, it values precision over recall, with on average 95% precision and 80% recall for clusters. Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved. AU - Caron, Emiel AU - Daniels, Hennie C3 - 18th International Conference on Enterprise Information Systems, ICEIS 2016, April 25, 2016 - April 28, 2016 DA - 2016 KW - Database systems data mining Data warehouses Information services Information systems World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SciTePress PY - 2016 SP - 182-187 ST - Identification of organization name variants in large databases using rule-based scoring and clustering: With a case study on the web of science database T3 - ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems TI - Identification of organization name variants in large databases using rule-based scoring and clustering: With a case study on the web of science database VL - 1 ID - 867 ER - TY - JOUR AB - Although Electronic Health Records (EHR) can offer benefits to the health care process, there is a growing body of evidence that these systems can also incur risks to patient safety when developed or used improperly. This work is a literature review to identify these risks from a software quality perspective. Therefore, the risks were classified based on the ISO/IEC 25010 software quality model. The risks identified were related mainly to the characteristics of "functional suitability" (i.e., software bugs) and "usability" (i.e., interface prone to user error). This work elucidates the fact that EHR quality problems can adversely affect patient safety, resulting in errors such as incorrect patient identification, incorrect calculation of medication dosages, and lack of access to patient data. Therefore, the risks presented here provide the basis for developers and EHR regulating bodies to pay attention to the quality aspects of these systems that can result in patient harm. AU - Virginio, Luiz A., Jr. AU - Ricarte, Ivan Luiz Marques DA - 2015 J2 - Stud Health Technol Inform KW - *Data Accuracy Data Mining/*statistics & numerical data Electronic Health Records/*utilization Humans Meaningful Use/*statistics & numerical data Medical Errors/prevention & control/*statistics & numerical data Patient Safety/*statistics & numerical data LA - eng PY - 2015 SN - 0926-9630 0926-9630 SP - 55-59 ST - Identification of Patient Safety Risks Associated with Electronic Health Records: A Software Quality Perspective T2 - Studies in health technology and informatics TI - Identification of Patient Safety Risks Associated with Electronic Health Records: A Software Quality Perspective VL - 216 ID - 140 ER - TY - CONF AB - The objective of this study was to compare base-level and meta-level classifiers on the task of activity recognition. Five wireless kinematic sensors were attached to 25 subjects with each subject asked to complete a range of basic activities in a controlled laboratory setting. Subjects were then asked to carry out similar self-annotated activities in a random order and in an unsupervised environment. A combination of time-domain and frequency-domain features were calculated using a sliding window segmentation technique. A reduced feature set was generated using a wrapper subset evaluation technique with a linear forward search. The meta-level classifier AdaBoostM1 with C4.5 Graft as its base-level classifier achieved an overall accuracy of 95%. Equal sized datasets of subject independent data and subject dependent data were used to train this classifier and it was found that high recognition rates can be achieved without the need of user specific training. 2009 IEEE. AU - Dalton, Anthony F. AU - O'Laighin, Gearoid C3 - 2009 6th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2009, June 3, 2009 - June 5, 2009 DA - 2009 DO - 10.1109/P3644.64 KW - Accelerometers Adaptive boosting Biped locomotion Classifiers data mining Kinematics Sensor networks Supervised learning Time domain analysis Wireless networks N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2009 SP - 87-91 ST - Identifying activities of daily living using wireless kinematic sensors and data mining algorithms T3 - Proceedings - 2009 6th International Workshop on Wearable and Implantable Body Sensor Networks, BSN 2009 TI - Identifying activities of daily living using wireless kinematic sensors and data mining algorithms UR - http://dx.doi.org/10.1109/P3644.64 ID - 1771 ER - TY - JOUR AB - This study develops a new approach to quantitatively identify the most important determinants of urban water use. The approach is based on a data mining model called genetic programming (GP), which automatically optimizes the structure of the function and parameters simultaneously. With historical urban water use as the target, the GP model identifies the most relevant factors for 47 cities in northern China. Compared with conventional regressive models, the GP model performs better than the double-log model. The Nash-Sutcliffe model efficiency coefficient (NSE) of the GP model is 0.87, while the NSE of the double-log model is 0.79. According to the results of the case study, urban water use is determined by both socio-economic and natural variables. Total population, service industry indicators, green land area, housing area, water price, and rainfall are the most significant determinants of urban water use. Among them, total population, service industry indicators, and green land area clearly have positive contributions to urban water use, whereas rainfall has a negative impact on urban water use. The impacts of housing area and water price are complex, which implies that these determinants may have different impacts on urban water use in different conditions. The new model and new insights developed in this study could be helpful for urban water management, especially for cities that experience water scarcity. AU - Liu, Yueyi AU - Zhao, Jianshi AU - Wang, Zhongjing DA - 2015/11/17/ DO - 10.1080/1573062X.2014.923920 IS - 8 PY - 2015 SN - 1573-062X SP - 618-630 ST - Identifying determinants of urban water use using data mining approach T2 - Urban Water Journal TI - Identifying determinants of urban water use using data mining approach VL - 12 ID - 2015 ER - TY - JOUR AB - Protein networks are usually used to describe the interacting behaviours of complex biosystems. Bioinformatics must be able to provide methods to mine protein undirected networks and to infer subnetworks of interacting proteins for identifying relevant biological pathways. Here we present FunMod an innovative Cytoscape version 2.8 plugin able to identify biologically significant sub-networks within informative protein networks, enabling new opportunities for elucidating pathways involved in diseases. Moreover FunMod calculates three topological coefficients for each sub-network, for a better understanding of the cooperative interactions between proteins and discriminating the role played by each protein within a functional module. FunMod is the first Cytoscape plugin with the ability of combining pathways and topological analysis allowing the identification of the key proteins within sub-network functional modules. AU - Natale, Massimo AU - Benso, Alfredo AU - Di Carlo, Stefano AU - Ficarra, Elisa DA - 2014 PY - 2014 SP - 149-155 ST - Identifying Sub-Network Functional Modules in Protein Undirected Networksl T2 - Bioinformatics 2014: Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms TI - Identifying Sub-Network Functional Modules in Protein Undirected Networksl ID - 2270 ER - TY - CONF AB - The following topics were covered: autonomous decentralised systems; nonlinear systems and control; rehabilitation engineering; prostheses and orthotics; hybrid control of complex systems; self-organising systems; emergent systems; fuzzy expert systems; fuzzy systems; soft computing; neural networks; signal processing; object search; genetic algorithms; human-complex system interaction; discrete event systems; Petri nets; reliability; high-speed communication; decision systems; adaptive interfaces; vision systems; Web based enterprise systems; distance learning; human factors; motion analysis; biocybernetics; intelligent plant design; public sector decision support; agent-based systems; robot learning; robot vision; robot control; image processing; fuzzy control theory; mechano-systems; multi-agent systems; meta-heuristics; interactive evolutionary computing; human-centered automation; distributed AI; data mining; operations research; decision support; intelligent man-machine interface; cyberspace; entertainment technologies; Kansei information processing; manufacturing systems; intelligent transportation; mobile robots; robot applications; signal processing; machine learning; multimedia; fuzzy reasoning; learning; bioinformatics; object-oriented systems; knowledge based systems; functional reasoning; tele-operation; human-computer interaction; virtual environments; image recognition; and pattern recognition. C3 - IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics, 12-15 Oct. 1999 DA - 1999 DO - 10.1109/ICSMC.1999.814023 KW - Decision support systems Expert systems Fuzzy Logic Genetic algorithms handicapped aids Image processing Internet multi-agent systems neural nets Petri nets Robots Signal processing User interfaces PB - IEEE PY - 1999 SP - 6-1179 ST - IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028) TI - IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028) UR - http://dx.doi.org/10.1109/ICSMC.1999.814023 VL - vol.1 ID - 1143 ER - TY - CONF AB - The standard Homogeneity-Based (SHB) optimization algorithm is a metaheuristic which is proposed based on a simultaneously balance between fitting and generalization of a given classification system. However, the SHB algorithm does not penalize the structure of a classification model. This is due to the way SHBs objective function is defined. Also, SHB algorithm uses only genetic algorithm to tune its parameters. This may reduce SHBs freedom degree. In this paper we have proposed an Improved Homogeneity-Based Algorithm (IHBA) which adopts computational complexity of the used data mining approach. Additionally, we employs several metaheuristics to optimally find SHBs parameters values. In order to prove the feasibility of the proposed approach, we conducted a computational study on some benchmarks datasets obtained from UCI repository. Experimental results confirm the theoretical analysis and show the effectiveness of the proposed IHBA method. IFIP International Federation for Information Processing 2015. AU - Bekaddour, Fatima AU - Amine, Chikh Mohammed C3 - 5th IFIP TC 5 International Conference on Computer Science and Its Applications, CIIA 2015, May 20, 2015 - May 21, 2015 DA - 2015 DO - 10.1007/978-3-319-19578-0_11 KW - Algorithms artificial intelligence data mining Genetic algorithms Heuristic algorithms INFORMATION science Learning systems Optimization Scattering parameters N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer New York LLC PY - 2015 SN - 18684238 SP - 129-140 ST - IHBA: An improved homogeneity-based algorithm for data classification T3 - IFIP Advances in Information and Communication Technology TI - IHBA: An improved homogeneity-based algorithm for data classification UR - http://dx.doi.org/10.1007/978-3-319-19578-0_11 VL - 456 ID - 1103 ER - TY - JOUR AB - Although IL-18 has not previously been shown to promote T lymphopoiesis, results obtained via a novel data mining algorithm (global microarray meta-analysis) led us to explore a predicted role for this cytokine in T cell development. IL-18 is a member of the IL-1 cytokine family that has been extensively characterized as a mediator of inflammatory immune responses. To assess a potential role for IL-18 in T cell development, we sort-purified mouse bone marrow-derived common lymphoid progenitor cells, early thymic progenitors (ETPs), and double-negative 2 thymocytes and cultured these populations on OP9-Delta-like 4 stromal layers in the presence or absence of IL-18 and/or IL-7. After 1 wk of culture, IL-18 promoted proliferation and accelerated differentiation of ETPs to the double-negative 3 stage, similar in efficiency to IL-7. IL-18 showed synergy with AU - Gandhapudi, Siva K. AU - Tan, Chibing AU - Marino, Julie H. AU - Taylor, Ashlee A. AU - Pack, Christopher C. AU - Gaikwad, Joel AU - Van De Wiele, C. Justin AU - Wren, Jonathan D. AU - Teague, T. Kent DA - 2015/04/15/ DO - 10.4049/jimmunol.1301542 IS - 8 J2 - J Immunol KW - *Interleukin-7/agonists/genetics/immunology *Lymphopoiesis/genetics/immunology Animals Cell Differentiation/physiology Cell Proliferation/*physiology Cells, Cultured Gene Expression Profiling Gene Expression Regulation/immunology Interleukin-18/agonists/genetics/*immunology Mice Mice, Mutant Strains Oligonucleotide Array Sequence Analysis Precursor Cells, T-Lymphoid/cytology/*immunology Proto-Oncogene Proteins c-kit/genetics/immunology Signal Transduction/genetics/immunology L1 - internal-pdf://2546976893/Gandhapudi-2015-IL-18 acts in synergy with IL-.pdf LA - eng PY - 2015 SN - 1550-6606 0022-1767 SP - 3820-3828 ST - IL-18 acts in synergy with IL-7 to promote ex vivo expansion of T lymphoid progenitor cells T2 - Journal of immunology (Baltimore, Md. : 1950) TI - IL-18 acts in synergy with IL-7 to promote ex vivo expansion of T lymphoid progenitor cells UR - http://www.jimmunol.org/content/194/8/3820.full.pdf VL - 194 ID - 138 ER - TY - JOUR AB - iMole is a platform that automatically extracts images and captions from biomedical literature. Images are tagged with terms contained in figure captions by means of a sophisticate text-mining tool. Moreover, iMole allows the user to upload directly their own images within the database and manually tag images by curated dictionary. Using iMole the researchers can develop a proper biomedical image database, storing the images extracted from paper of interest, image found on the web repositories, and their own experimental images. In order to show the functioning of the platform, we used iMole to build a 2DE database. Briefly, tagged 2DE gel images were collected and stored in a searchable 2DE gel database, available to users through an interactive web interface. Images were obtained by automatically parsing 16,608 proteomic publications, which yielded more than 16,500 images. The database can be further expanded by users with images of interest trough a manual uploading process. iMole is available with a preloaded set of 2DE gel data at http://imole.biodigitalvalley.com. AU - Giordano, Manuela AU - Natale, Massimo AU - Cornaz, Moreno AU - Ruffino, Andrea AU - Bonino, Dario AU - Bucci, Enrico M. DA - 2013/07//undefined DO - 10.1002/elps.201300085 IS - 13 J2 - Electrophoresis KW - *Database Management Systems *Databases, Factual *Internet *Software 2D electrophoresis Data Mining/*methods Electrophoresis, Gel, Two-Dimensional Image database Image Processing, Computer-Assisted Information storage and retrieval Meta-analysis text mining Web application L1 - internal-pdf://2175747677/Giordano-2013-iMole, a web based image retriev.pdf LA - eng PY - 2013 SN - 1522-2683 0173-0835 SP - 1965-1968 ST - iMole, a web based image retrieval system from biomedical literature T2 - Electrophoresis TI - iMole, a web based image retrieval system from biomedical literature UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/elps.201300085/asset/elps4719.pdf?v=1&t=itisjopx&s=db55c0439a0b0efd62e37969ecfa53af6275020a VL - 34 ID - 182 ER - TY - JOUR AB - Context The adoption of Service-oriented Architecture (SOA) and Business Process Management (BPM) is fairly recent. The major concern is now shifting towards the maintenance and evolution of service-based business information systems. Moreover, these systems are highly dynamic and frequent changes are anticipated across multiple levels of abstraction. Impact analysis and change propagation are identified as potential research areas in this regard. Objective The aim of this study is to systematically review extant research on impact analysis and propagation in the BPM and SOA domains. Identifying, categorizing and synthesizing relevant solutions are the main study objectives. Method Through careful review and screening, we identified 60 studies relevant to 4 research questions. Two classification schemes served to comprehend and analyze the anatomy of existing solutions. BPM is considered at the business level for business operations and processes, while SOA is considered at the service level as deployment architecture. We focused on both horizontal and vertical impacts of changes across multiple abstraction layers. Results Impact analysis solutions were mainly divided into dependency analysis, traceability analysis and history mining. Dependency analysis is the most frequently adopted technique followed by traceability analysis. Further categorization of dependency analysis indicates that graph-based techniques are extensively used, followed by formal dependency modeling. While considering hierarchical coverage, inter-process and inter-service change analyses have received considerable attention from the research community, whereas bottom-up analysis has been the most neglected research area. The majority of change propagation solutions are top-down and semi-automated. Conclusions This study concludes with new insight suggestions for future research. Although, the evolution of service-based systems is becoming of grave concern, existing solutions in this field are less mature. Studies on hierarchical change impact are scarce. Complex relationships of services with business processes and semantic dependencies are poorly understood and require more attention from the research community. 2015 Elsevier Ltd. AU - Alam, Khubaib Amjad AU - Ahmad, Rodina AU - Akhunzada, Adnan AU - Nasir, Mohd Hairul Nizam Md AU - Khan, Samee U. DA - 2015 DO - 10.1016/j.is.2015.06.003 J2 - Information Systems KW - Abstracting Administrative data processing Enterprise resource management Graphic methods Information services Semantics Semantic Web Service oriented architecture (SOA) Solution mining Web services L1 - internal-pdf://2053999932/Alam-2015-Impact analysis and change propagati.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 03064379 SP - 43-73 ST - Impact analysis and change propagation in service-oriented enterprises: A systematic review T2 - Information Systems TI - Impact analysis and change propagation in service-oriented enterprises: A systematic review UR - http://dx.doi.org/10.1016/j.is.2015.06.003 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0306437915001179/1-s2.0-S0306437915001179-main.pdf?_tid=74b3590a-832c-11e6-85ec-00000aacb35e&acdnat=1474813944_ba5666e1d573f6fff9f4687cc19f183a VL - 54 ID - 864 ER - TY - CONF AB - The theory and methods for the Bayesian metaanalysis are motivators for this article. The methodology for hierarchical modeling for Bayesian meta-analysis is provided, along with detailed discussion of the theory. The impact of choosing different likelihood functions in Bayesian hierarchical modeling is discussed. A practical example of the meta-analysis for the oropharyngeal adverse events induced by inhaled corticosteroid is provided to illustrate the methods. AU - Li, Hal C3 - World Congress on Engineering and Computer Science 2014, WCECS 2014, October 22, 2014 - October 24, 2014 DA - 2014 KW - Drug products Hierarchical systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Newswood Limited PY - 2014 SN - 20780958 SP - 576-580 ST - The impact of choosing different likelihood functions in Bayesian hierarchical modeling for meta-analysis: A meta-analysis on oropharyngeal adverse events induced by inhaled corticosteroid T3 - Lecture Notes in Engineering and Computer Science TI - The impact of choosing different likelihood functions in Bayesian hierarchical modeling for meta-analysis: A meta-analysis on oropharyngeal adverse events induced by inhaled corticosteroid VL - 2 ID - 1799 ER - TY - JOUR AB - The Human Genome Project and the explosion of high-throughput data have transformed the areas of molecular and personalized medicine, which are producing a wide range of studies and experimental results and providing new insights for developing medical applications. Research in many interdisciplinary fields is resulting in data repositories and computational tools that support a wide diversity of tasks: genome sequencing, genome-wide association studies, analysis of genotype-phenotype interactions, drug toxicity and side effects assessment, prediction of protein interactions and diseases, development of computational models, biomarker discovery, and many others. The authors of the present paper have developed several inventories covering tools, initiatives and studies in different computational fields related to molecular medicine: medical informatics, bioinformatics, clinical informatics and nanoinformatics. With these inventories, created by mining the scientific literature, we have carried out several reviews of these fields, providing researchers with a useful framework to locate, discover, search and integrate resources. In this paper we present an analysis of the state-of-the-art as it relates to computational resources for molecular medicine, based on results compiled in our inventories, as well as results extracted from a systematic review of the literature and other scientific media. The present review is based on the impact of their related publications and the available data and software resources for molecular medicine. It aims to provide information that can be useful to support ongoing research and work to improve diagnostics and therapeutics based on molecular-level insights. AU - de la Iglesia, Diana AU - Garcia-Remesal, Miguel AU - de la Calle, Guillermo AU - Kulikowski, Casimir AU - Sanz, Ferran AU - Maojo, Victor DA - 2013 IS - 5 J2 - Curr Top Med Chem KW - *Biomedical Research *Computational Biology *High-Throughput Screening Assays *Medical Informatics *Molecular Medicine Chemistry, Pharmaceutical Humans Precision Medicine Software LA - eng PY - 2013 SN - 1873-4294 1568-0266 SP - 526-575 ST - The impact of computer science in molecular medicine: enabling high-throughput research T2 - Current topics in medicinal chemistry TI - The impact of computer science in molecular medicine: enabling high-throughput research VL - 13 ID - 343 ER - TY - JOUR AU - Dusetzina, Stacie B. AU - Higashi, Ashley S. AU - Dorsey, E. Ray AU - Conti, Rena AU - Huskamp, Haiden A. AU - Zhu, Shu AU - Garfield, Craig F. AU - Alexander, G. Caleb DA - 2012 DP - Google Scholar IS - 6 L1 - internal-pdf://0856363827/Dusetzina-2012-Impact of FDA drug risk communi.pdf PY - 2012 SP - 466 ST - Impact of FDA drug risk communications on health care utilization and health behaviors T2 - Medical care TI - Impact of FDA drug risk communications on health care utilization and health behaviors: a systematic review UR - http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3342472/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3342472/pdf/nihms348647.pdf VL - 50 Y2 - 2016/09/24/16:09:56 ID - 2468 ER - TY - CONF AB - Several studies have estimated the potential economic and social impact of the mHealth development. Considering the latest study by Institute for Healthcare Informatics, more than 40,000 Apps of health and medicine are offered in the Apple store. Adding those of Playstore and other platforms, the figure reaches 97, 000. Thus, they have become the third-fastest growing category, only after games and utilities, and it has projected that its presence will grow about 23% annually over the next five years. This study aims to estimate the impact that the development of mHealth has had on the health and computer science field, through the study of publications in specific databases for each area which have been published since 2010 to 2014. Springer International Publishing Switzerland 2015. AU - Molina-Recio, Guillermo AU - Garcia-Hernandez, Laura AU - Castilla-Melero, Antonio AU - Palomo-Romero, Juan M. AU - Molina-Luque, Rafael AU - Sanchez-Munoz, Antonio A. AU - Arauzo-Azofra, Antonio AU - Salas-Morera, Lorenzo C3 - 3rd International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015, April 15, 2015 - April 17, 2015 DA - 2015 KW - bioinformatics Biomedical engineering Computer Science Health INFORMATION science Medicine Reviews N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 24-34 ST - Impact of health apps in health and computer science publications. A systematic review from 2010 to 2014 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Impact of health apps in health and computer science publications. A systematic review from 2010 to 2014 VL - 9044 ID - 868 ER - TY - JOUR AB - Introduction Health information technology (HIT) has the potential to play a significant role in the management of cancer. The purpose of this review is to identify and examine empirical studies that investigate the impact of HIT in cancer care on different levels of the care continuum. Methods Electronic searches were performed in four academic databases. The authors used a three-step search process to identify 122 studies that met specific inclusion criteria. Next, a coding sheet was used to extract information from each included article to use in an analysis. Logistic regression was used to determine study-specific characteristics that were associated with positive findings. Results Overall, 72.4% of published analyses reported a beneficial effect of HIT. Multivariate analysis found that the impact of HIT differs across the cancer continuum with studies targeting diagnosis and treatment being, respectively, 77 (P= .001) and 39 (P= .039) percentage points less likely to report a beneficial effect when compared to those targeting prevention. In addition, studies targeting HIT to patients were 31 percentage points less likely to find a beneficial effect than those targeting providers (P= .030). Lastly, studies assessing behavior change as an outcome were 41 percentage points less likely to find a beneficial effect (P= .006), while studies targeting decision making were 27 percentage points more likely to find a beneficial effect (P= .034). Conclusion Based on current evidence, HIT interventions seem to be more successful when targeting physicians, care in the prevention phase of the cancer continuum, and/or decision making. An agenda for future research is discussed. AU - Tarver, W. L. AU - Menachemi, N. DA - 2016/03// DO - 10.1093/jamia/ocv064 IS - 2 J2 - Journal of the American Medical Informatics Association KW - Cancer decision making electronic health records Health care information retrieval patient diagnosis Patient treatment PY - 2016 SN - 1067-5027 SP - 420-7 ST - The impact of health information technology on cancer care across the continuum: a systematic review and meta-analysis T2 - Journal of the American Medical Informatics Association TI - The impact of health information technology on cancer care across the continuum: a systematic review and meta-analysis UR - http://dx.doi.org/10.1093/jamia/ocv064 VL - 23 ID - 1787 ER - TY - JOUR AB - The objective of this study was to make a systematic review on the impact of voxel size in cone beam computed tomography (CBCT)-based image acquisition, retrieving evidence regarding the diagnostic outcome of those images. The MEDLINE bibliographic database was searched from 1950 to June 2012 for reports comparing diverse CBCT voxel sizes. The search strategy was limited to English-language publications using the following combined terms in the search strategy: (voxel or FOV or field of view or resolution) and (CBCT or cone beam CT). The results from the review identified 20 publications that qualitatively or quantitatively assessed the influence of voxel size on CBCT-based diagnostic outcome, and in which the methodology/results comprised at least one of the expected parameters (image acquisition, reconstruction protocols, type of diagnostic task, and presence of a gold standard). The diagnostic task assessed in the studies was diverse, including the detection of root fractures, the detection of caries lesions, and accuracy of 3D surface reconstruction and of bony measurements, among others. From the studies assessed, it is clear that no general protocol can be yet defined for CBCT examination of specific diagnostic tasks in dentistry. Rationale in this direction is an important step to define the utility of CBCT imaging. AU - Spin-Neto, R. AU - Gotfredsen, E. AU - Wenzel, A. DA - 2013/08// DO - 10.1007/s10278-012-9562-7 IS - 4 J2 - Journal of Digital Imaging KW - computerised tomography data acquisition data mining dentistry Diseases image resolution medical computing protocols query formulation text analysis PY - 2013 SN - 0897-1889 SP - 813-20 ST - Impact of Voxel Size Variation on CBCT-Based Diagnostic Outcome in Dentistry: a Systematic Review T2 - Journal of Digital Imaging TI - Impact of Voxel Size Variation on CBCT-Based Diagnostic Outcome in Dentistry: a Systematic Review UR - http://dx.doi.org/10.1007/s10278-012-9562-7 VL - 26 ID - 1322 ER - TY - JOUR AB - Purpose: This paper (1) presents the protocol of an on-going systematic literature review on the methods of structuring electronic health record (EHR) data and studying the impacts of implemented structures, thus laying basis for the analysis of the empirical articles (2) describes previous reviews published on the subject and retrieved during the search of bibliographic databases, and (3) presents a summary of the results of previous reviews. Methods: Cochrane instructions were exploited to outline the review protocol - phases and search elements. Test searches were conducted to refine the search. The abstracts and/or full texts of review papers captured by the search were read by two of the team members independently, with disagreements first negotiated between them and if necessary eventually resolved in the team meetings. Additional review articles were picked from the reference lists of the reviews included in our search results. The elements defined in the search strategy and analytic framework were converted to a data extraction tool, which was tested by extracting data from the reviews captured by the search. Descriptive analysis of the extracted data was conducted. Results: The 12-stage review protocol that we developed includes definition of the problem, the search strategy and search terms, testing the strategy, conducting the search, updating search from references found, removing duplicates, defining the inclusion and exclusion criteria, exclusion and inclusion of papers, definition of the analytic framework to extract data, extracting data and reporting results. Our searches in fifteen electronic bibliographic databases retrieved 27 reviews, of which 14 were included for full text analysis. Of these, 11 focused on medical and three on nursing record structures. The data structures included forms, ontologies, classifications and terminologies. Some evidence was found on data structure impact on information quality, process quality and efficiency, but not on patients or professionals. Conclusions: The 12 step review protocol resulted in a variety of reviews of different ways to structure EHR data. None of them compared outcomes of different structuring methods; all had a narrower definition of the Intervention (a specific EHR structure) and Outcome (a specific impact category). Several reviews missed a clear connection between the data structures (interventions) and outcomes, indicating that the methods and applications for structuring patient data have rarely been viewed as independent variables. The review protocol should be defined in a manner that allows replication of the review. There are different ways of structuring patient data with varying impacts, which should be distinguished in further empirical studies, as well as reviews. 2013 The Authors. AU - Hypponen, Hannele AU - Saranto, Kaija AU - Vuokko, Riikka AU - Makela-Bengs, Paivi AU - Doupi, Persephone AU - Lindqvist, Minna AU - Makela, Marjukka DA - 2014 DO - 10.1016/j.ijmedinf.2013.11.006 IS - 3 J2 - International Journal of Medical Informatics KW - data mining data structures Hospital data processing Information services Records management Search Engines Vocabulary control L1 - internal-pdf://2333447601/Hypponen-2014-Impacts of structuring the elect.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 13865056 SP - 159-169 ST - Impacts of structuring the electronic health record: A systematic review protocol and results of previous reviews T2 - International Journal of Medical Informatics TI - Impacts of structuring the electronic health record: A systematic review protocol and results of previous reviews UR - http://dx.doi.org/10.1016/j.ijmedinf.2013.11.006 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1386505613002475/1-s2.0-S1386505613002475-main.pdf?_tid=5837b35c-833b-11e6-8e4a-00000aacb361&acdnat=1474820339_ba6fea4ea629e7417af9c944398dc30b VL - 83 ID - 1156 ER - TY - CONF AB - Document clustering plays an important role in information management and data mining systems. Fast document clustering is required to effectively navigate, summarize and organize large amount of information into a small number of meaningful clusters. This increasing importance of document clustering led to be carrying out the expanded range of methods in this area. The classical clustering algorithms like K-means clustering are frequently referred in applications. However, depending on the recent trends in metaheuristic methods, studies focus on applying these meta-heuristic algorithms to solve clustering problems. Requirement of decreased computing time and the ability to search for global optima makes modern heuristics an effective alternative in document clustering. In this study, a novel meta-heuristic namely imperialist competitive algorithm is applied to the document-clustering problem and the performance of the studied algorithm is benchmarked against particle swarm optimization based clustering method and K-Means clustering. Well-known document datasets in literature are used in experiments and the effect of several different similarity measures are analyzed. AU - Kucukdeniz, Tarik AU - Buyuksaatci, Sinem C3 - 1st International Conference on Engineering and Applied Sciences Optimization, OPT-i 2014, June 4, 2014 - June 6, 2014 DA - 2014 KW - Cluster Analysis Clustering algorithms data mining Heuristic algorithms Heuristic methods Information Management information retrieval Particle swarm optimization (PSO) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - National Technical University of Athens PY - 2014 SP - 1206-1216 ST - Imperialist competitive algorithm compared with particle swarm optimization and K-means on document clustering (OPTI 2014) T3 - OPT-i 2014 - 1st International Conference on Engineering and Applied Sciences Optimization, Proceedings TI - Imperialist competitive algorithm compared with particle swarm optimization and K-means on document clustering (OPTI 2014) ID - 1423 ER - TY - CONF AB - This paper proposes an implementation for access control in SQL Server, and the technique is to improve security of the data masking technique devised for secure data warehouse since it stores the sensitive information which needs to be secure from attackers. A large number of techniques have been proposed for the same but based on analysis those techniques produce large overheads. This technique can be implemented in database management system of any kind. By the help of proposed technique, it will get to know the behavior of access strongly based on mining process on intelligently recorded log and other metadata of respective access. AU - Singh, A. C3 - 2015 International Conference on Advances in Computer Engineering and Applications (ICACEA), 19-20 March 2015 DA - 2015 DO - 10.1109/ICACEA.2015.7164717 KW - authorisation data mining Data warehouses meta data relational databases SQL PB - IEEE PY - 2015 SP - 290-3 ST - Implementation model for access control using log based security: Practical approach T3 - 2015 International Conference on Advances in Computer Engineering and Applications (ICACEA). Proceedings TI - Implementation model for access control using log based security: Practical approach UR - http://dx.doi.org/10.1109/ICACEA.2015.7164717 ID - 1141 ER - TY - CONF AB - In this paper an implementation of a multi-agent system designed for solving complex data mining tasks is presented. The system is based on ontologically sound AGR (agents, groups, roles) model and encapsulates Weka library methods in JADE agents. We emphasize the unique intelligent features of the system - its ability to search the parameter space of the data mining methods to find the optimal configuration, and meta learning - finding the best possible method for the given data based on the ontological compatibility of datasets. 2011 IEEE. AU - Kazik, Ondrej AU - Pekova, Klara AU - Pilat, Martin AU - Neruda, Roman C3 - 10th International Conference on Machine Learning and Applications, ICMLA 2011, December 18, 2011 - December 21, 2011 DA - 2011 DO - 10.1109/ICMLA.2011.161 KW - data mining Intelligent agents Learning systems Multi agent systems Search Engines Silicate minerals Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 SP - 366-369 ST - Implementation of parameter space search for meta learning in a data-mining multi-agent system T3 - Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011 TI - Implementation of parameter space search for meta learning in a data-mining multi-agent system UR - http://dx.doi.org/10.1109/ICMLA.2011.161 VL - 2 ID - 1845 ER - TY - JOUR AB - Adverse drug reactions' spontaneous reporting systems are an important element in worldwide pharmacovigilance, gathering potentially useful information for post-marketing drug safety surveillance. Data mining and signal management systems, providing the capability of reading and interpreting these systems' raw data (data that has not been subjected to processing or any other manipulation), improve its analysis process. In order for this analysis to be possible, both data mining and signal management systems and raw data should be available to researchers and the scientific community. The purpose of this work was to provide an overview of the spontaneous reporting systems databases reported in literature as having implemented a data mining and signal management system and the implementation itself, evidencing their availability to researchers. A systematic review was carried out, concluding that they are freely provided to researchers within institutions responsible for maintaining the spontaneous reporting systems, but not to most researchers within the scientific community. AU - de Almeida Vieira Lima, Luis Miguel AU - Nunes, Nuno Goncalo Sales Craveiro AU - da Silva Dias, Pedro Goncalo Pires AU - Marques, Francisco Jorge Batel DA - 2012/04//undefined IS - 2 J2 - Curr Drug Saf KW - *Adverse Drug Reaction Reporting Systems *Pharmacovigilance Data Interpretation, Statistical Data Mining/*methods Humans Product Surveillance, Postmarketing/methods LA - eng PY - 2012 SN - 2212-3911 1574-8863 SP - 170-175 ST - Implemented data mining and signal management systems on spontaneous reporting systems' databases and their availability to the scientific community - a systematic review T2 - Current drug safety TI - Implemented data mining and signal management systems on spontaneous reporting systems' databases and their availability to the scientific community - a systematic review VL - 7 ID - 195 ER - TY - JOUR AU - Djulbegovic, Mia AU - Djulbegovic, Benjamin DA - 2011/01/19/ DO - 10.1001/jama.2010.2013 IS - 3 J2 - JAMA KW - *Comparative Effectiveness Research *Data Mining Clinical Medicine/trends Health Services Research/trends Medical Laboratory Science/trends Registries Research Design L1 - internal-pdf://1534230297/Djulbegovic-2011-Implications of the principle.pdf LA - eng PY - 2011 SN - 1538-3598 0098-7484 SP - 298-299 ST - Implications of the principle of question propagation for comparative-effectiveness and "data mining" research T2 - JAMA TI - Implications of the principle of question propagation for comparative-effectiveness and "data mining" research UR - http://jama.jamanetwork.com.ezproxy.lib.vt.edu/data/Journals/JAMA/18269/jco05158_298_299.pdf VL - 305 ID - 350 ER - TY - JOUR AB - Background: Bacterial 16S Ribosomal RNAs profiling have been widely used in the classification of microbiota associated diseases. Dimensionality reduction is among the keys in mining high-dimensional 16S rRNAs' expression data. High levels of sparsity and redundancy are common in 16S rRNA gene microbial surveys. Traditional feature selection methods are generally restricted to measuring correlated abundances, and are limited in discrimination when so few microbes are actually shared across communities. Results: Here we present a Feature Merging and Selection algorithm (FMS) to deal with 16S rRNAs' expression data. By integrating Linear Discriminant Analysis method, FMS can reduce the feature dimension with higher accuracy and preserve the relationship between different features as well. Two 16S rRNAs' expression datasets of pneumonia and dental decay patients were used to test the validity of the algorithm. Combined with SVM, FMS discriminated different classes of both pneumonia and dental caries better than other popular feature selection methods. Conclusions: FMS projects data into lower dimension with preservation of enough features, and thus improve the intelligibility of the result. The results showed that FMS is a more valid and reliable methods in feature reduction. AU - Wang, Yin AU - Zhou, Yuhua AU - Li, Yixue AU - Ling, Zongxin AU - Zhu, Yan AU - Guo, Xiaokui AU - Sun, Hong DA - 2012/12/17/ DO - 10.1186/1752-0509-6-S3-S12 PY - 2012 SN - 1752-0509 SP - S12 ST - An improved dimensionality reduction method for meta-transcriptome indexing based diseases classification T2 - Bmc Systems Biology TI - An improved dimensionality reduction method for meta-transcriptome indexing based diseases classification VL - 6 ID - 2213 ER - TY - CONF AB - Clustering is a popular data analysis and data mining technique. K-Means is one of the most popular data mining algorithms for being simple, scalable and easily modifiable to a variety of contexts and application domains. The major issue of traditional K-Means algorithm is that its performance depends on the initialization of centroid and requires the number of clusters to be specified in advance. Many evolutionary based clustering algorithms have been developed in recent years for selecting optimum initial centroid to optimize clustering results. Particle Swarm Optimization algorithm is a population-based memetic-evolution-motivated meta-heuristic algorithm that mimics the capability of swarm. The K-Means algorithm typically uses Euclidean or squared Euclidean distance to measure the distortion between a data object and its cluster centroid. The Euclidean and squared Euclidean distances are usually computed from raw data and not from standardized data. Normalization is one of the important preprocessing steps, to transform values of all attributes. Effective data clustering can only occur if an equally effective technique for normalizing the data is applied. This paper proposes an effective partitional clustering algorithm which is developed by integrating the merits of Particle Swarm Optimization and normalization with traditional K-Means clustering algorithms. Experiments are conducted on real dataset to prove the efficiency of the proposed algorithm. AU - Arun Prabha, K. AU - Karthikeyani Visalakshi, N. C3 - 2014 International Conference on Intelligent Computing Applications, ICICA 2014, March 6, 2014 - March 7, 2014 DA - 2014 DO - 10.1109/ICICA.2014.21 KW - Cluster Analysis Clustering algorithms data mining Evolutionary algorithms Heuristic algorithms Intelligent computing Particle swarm optimization (PSO) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2014 SP - 59-63 ST - Improved particle swarm optimization based K-Means clustering T3 - Proceedings - 2014 International Conference on Intelligent Computing Applications, ICICA 2014 TI - Improved particle swarm optimization based K-Means clustering UR - http://dx.doi.org/10.1109/ICICA.2014.21 ID - 1215 ER - TY - JOUR AB - It is a key for the successes of data mining projects in practical situations to evaluate the obtained so many patterns as valuable knowledge effectively. In order to provide an effective support, we have been developing a rule evaluation support method based on the learning models of objective rule evaluation indices. In this paper, we report two improvements of this method and their evaluations. One is improved the learning algorithm selection in the proposed method by introducing a constructive meta-learning scheme. The other is improved the sorting efficiency of objective rule evaluation indices by combining them. AU - Abe, H. AU - Tsumoto, S. AU - Ohsaki, M. AU - Yamaguchi, T. DA - 2010 DO - 10.1504/IJAIP.2010.030534 IS - 2-3 J2 - International Journal of Advanced Intelligence Paradigms KW - data mining learning (artificial intelligence) Principal Component Analysis sorting PY - 2010 SN - 1755-0386 SP - 180-97 ST - Improving a rule evaluation support method based on objective indices T2 - International Journal of Advanced Intelligence Paradigms TI - Improving a rule evaluation support method based on objective indices UR - http://dx.doi.org/10.1504/IJAIP.2010.030534 VL - 2 ID - 1471 ER - TY - CONF AB - In 2008 five United States institutions collaborated to archive the U.S. federal government Web presence: the Library of Congress, the Internet Archive, the California Digital Library, the Government Printing Office, and the University of North Texas (LINT). Their objective was to document the changes coincident with the shift in leadership of the U.S. executive branch. The five partners identified key resources from the U.S. gov Top Level Domain and completed crawls from September 2008 until March 2009. The resulting End of Term (EOT) 2008 Web Archive, a 16 TB dataset, was distributed to partners interested in providing local services and access to the archive. The LINT Libraries investigated Portable Document Format (PDF) files, a class of content many information professionals associate with the traditional notion of "discrete documents ". Over four million unique PDF documents were extracted from the Archive and a series of metadata and information extraction processes were conducted for each document. Additionally, derivative raster images of the first page of each document were created. These metrics were ingested into a database for further analysis, which brought to light previously hidden characteristics of the federal governments Web-published content. The paper discusses the overall workflow and describes the tools used to extract document features. Findings suggest opportunities for the development of retrieval tools that will provide new ways of selecting content and building collections from large Web archives. AU - Phillips, M. AU - Murray, K. C3 - Archiving 2013, 2-5 April 2013 DA - 2013 KW - academic libraries desktop publishing Digital Libraries digital preservation information retrieval information retrieval systems Internet meta data Records management PB - Society for Imaging Science and Technology PY - 2013 SP - 186-92 ST - Improving Access to Web Archives through Innovative Analysis of PDF Content T3 - Archiving 2013. Proceedings TI - Improving Access to Web Archives through Innovative Analysis of PDF Content ID - 1165 ER - TY - CONF AB - The amount of ecological data available electronically is increasing at a rapid rate, e.g., over 15,000 data sets are available today in the Knowledge Network for Biocomplexity (KNB) alone. Using the existing search capabilities of these online data repositories, however, scientists struggle to quickly locate data that are relevant to their needs or that will integrate with their current data sets. Semantic technologies aim at addressing many of these problems and hold the promise of enabling more powerful "smart" searches of online data archives. We describe new semantic search features within the Metacat meta-data system, which is used by many ecological research sites around the world for archiving their data using a standardized metadata format. Our semantic search sys-tem adds to Metacat the ability to store OWL-DL ontologies in addition to semantic annotations that link data set attributes to ontology terms. Our approach also extends Metacat to improve metadata search in multiple ways: (i) by expanding standard keyword searches with ontology term hierarchies; (ii) by allowing keyword searches to be applied to annotations in addition to traditional meta-data; and (iii) by allowing more structured searches over annotations via ontology terms. We describe our implementation of these extensions, and compare and contrast these different types of search for a corpus of annotated documents. As data repositories continue to grow, these tools will be instrumental in helping scientists precisely locate and then interpret data for their research needs. AU - Berkley, C. AU - Bowers, S. AU - Jones, M. B. AU - Madin, J. S. AU - Schildhauer, M. C3 - 2009 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2009), 16-19 March 2009 DA - 2009 DO - 10.1109/CISIS.2009.122 KW - data mining ecology information retrieval systems knowledge representation languages meta data ontologies (artificial intelligence) Semantic Web PB - IEEE PY - 2009 SP - 1152-9 ST - Improving data discovery for metadata repositories through semantic search T3 - 2009 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2009) TI - Improving data discovery for metadata repositories through semantic search UR - http://dx.doi.org/10.1109/CISIS.2009.122 ID - 981 ER - TY - CONF AB - Ontology learning (OL) arises as an area to support semantic engineering because it enables to recover and to extract knowledge from the Web documents to improve the development of domain ontologies. One of the most fruitful fields of OL is artificial intelligence (AI), since it sustains new methods, techniques and tools, particularly related with Web- and text-mining. In this work, we are dealing with a meta-model incrementally developed, proposing an OL experiment with open source tools. To reach that, firstly, ontology about a university institution previously developed is increasable synthesized. Secondly, a particular methodology and strategy for OL is used to illustrate how could be included these text-mining and OL tools into a kind of (semi-) intelligent-agent, and how the overall ontological development process could be improved. Particularly, the OL "agent" test tool is applied to update/extend the university ontology by a semi-supervised machine learning approach. AU - Gil, R. AU - Borges, A. M. AU - Contreras, L. AU - Martin-Bautista, M. J. C3 - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 31 March-2 April 2009 DA - 2009 DO - 10.1109/CSIE.2009.957 KW - data mining Educational institutions Internet learning (artificial intelligence) multi-agent systems ontologies (artificial intelligence) software tools text analysis PB - IEEE PY - 2009 SP - 558-63 ST - Improving ontologies through ontology learning: a university case T3 - 2009 WRI World Congress on Computer Science and Information Engineering, CSIE TI - Improving ontologies through ontology learning: a university case UR - http://dx.doi.org/10.1109/CSIE.2009.957 VL - vol.4 ID - 1118 ER - TY - JOUR AB - A method of combining three analytic techniques including regression rule induction, the k-nearest neighbors method and time series forecasting by means of the ARIMA methodology is presented. A decrease in the forecasting error while solving problems that concern natural hazards and machinery monitoring in coal mines was the main objective of the combined application of these techniques. The M5 algorithm was applied as a basic method of developing prediction models. In spite of an intensive development of regression rule induction algorithms and fuzzy-neural systems, the M5 algorithm is still characterized by the generalization ability and unbeatable time of data model creation competitive with other systems. In the paper, two solutions designed to decrease the mean square error of the obtained rules are presented. One consists in introducing into a set of conditional variables the so-called meta-variable (an analogy to constructive induction) whose values are determined by an autoregressive or the ARIMA model. The other shows that limitation of a data set on which the M5 algorithm operates by the k-nearest neighbor method can also lead to error decreasing. Moreover, three application examples of the presented solutions for data collected by systems of natural hazards and machinery monitoring in coal mines are described. In Appendix, results of several benchmark data sets analyses are given as a supplement of the presented results. AU - Sikora, Marek AU - Sikora, Beata DA - 2012 DO - 10.2478/v10006-012-0036-3 IS - 2 J2 - International Journal of Applied Mathematics and Computer Science KW - Algorithms Coal mines hazards Machinery Mathematical models Membership functions Regression Analysis Text processing time series N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 1641876X SP - 477-491 ST - Improving prediction models applied in systems monitoring natural hazards and machinery T2 - International Journal of Applied Mathematics and Computer Science TI - Improving prediction models applied in systems monitoring natural hazards and machinery UR - http://dx.doi.org/10.2478/v10006-012-0036-3 VL - 22 ID - 834 ER - TY - JOUR AB - Age at onset is the most important feature of schizophrenia that could indicate its origin. Minor physical anomalies (MPAs) characterize potential marker indices of disturbances in early neurodevelopment. However, the association between MPAs and age at onset of schizophrenia is still unclear. We aimed to compare risk assessment and familial aggregation in patients with early-onset schizophrenia (EOS) and adult-onset schizophrenia (AOS) with MPAs and craniofacial measures. We estimated the risk assessment of MPAs among patients with EOS (n=68), patients with AOS (n=183), nonpsychotic relatives (n=147), and healthy controls (n=241) using 3 data-mining algorithms. In addition, we assessed the magnitude of familial aggregation of MPAs with respect to the age at onset of schizophrenia. The performance of EOS was superior to that of AOS, with discrimination accuracies of 89% and 76%, respectively. Combined MPA scores as the risk assessment were significantly higher in all schizophrenia subgroups and the nonpsychotic relatives of EOS patients than in the healthy controls. The recurrence risk ratio for familial aggregation of the MPA scores of EOS families (odds ratio 9.27) was substantially higher than that of AOS families (odds ratio 2.47). The results highlight that EOS improves risk assessment and has a severe magnitude of familial aggregation of MPAs. These findings indicate that EOS might result from a stronger genetic susceptibility to neurodevelopmental deficits. AU - Tsai, I. Ning AU - Lin, Jin-Jia AU - Lu, Ming-Kun AU - Tan, Hung-Pin AU - Jang, Fong-Lin AU - Gan, Shu-Ting AU - Lin, Sheng-Hsiang DA - 2016/07// DO - 10.1097/MD.0000000000004406 IS - 30 PY - 2016 SN - 0025-7974 SP - e4406 ST - Improving risk assessment and familial aggregation of age at onset in schizophrenia using minor physical anomalies and craniofacial measures T2 - Medicine TI - Improving risk assessment and familial aggregation of age at onset in schizophrenia using minor physical anomalies and craniofacial measures VL - 95 ID - 2164 ER - TY - CONF AB - In this study, Visible/near-infrared (Vis/NIR) diffuse reflectance spectroscopy at 530-1560 nm region was investigated for the analysis of the soluble solids content (SSC) and color of pear. Least squares support vector regression (LSSVR) has been proven to be a powerful tool for modeling complex samples through the use of adapted kernel functions. However, one of the major drawbacks of LSSVR is that the optimization of the regularization and kernel meta-parameters is time-consuming during training the model, and the modeling results are sensitive to spectral noise. Wavelet compression pretreatment is an effective method for spectral information extraction and noise elimination. The calibration set was composed of 75 pear samples and 32 pear samples were used as the validation set. The raw and pretreated spectra by wavelet compression were modeled using LSSVR, It was shown that wavelet compression procedure not only shortened the modeling time, but also improved the predictive precision. The correlation coefficient (r) was improved from 0.78 to 0.93 for SSC, and from 0.95 to 0.96 for color, respectively. The root mean square error of prediction (RMSEP), optimization time and calibration variables were reduced from 0.68, 0.33s and 1031 to 0.41, 0.03s and 24 for SSC, while from 1.10, 0.33s and 1031 to 1.07, 0.03s and 40 for color. The results indicated that Vis/NIR spectroscopy combined with wavelet compression procedure and LSSVR is a reliable approach for predicting the SSC and color of pear. 2010 Copyright SPIE - The International Society for Optical Engineering. AU - Hao, Yong AU - Liu, Yande AU - Zhang, Hailiang AU - Liu, Xuemei AU - Pan, Yuanyuan C3 - 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, April 26, 2010 - April 29, 2010 DA - 2010 DO - 10.1117/12.865737 KW - Calibration Color Forecasting Fruits Manufacture Measurement theory Optical testing Optimization Regression Analysis SPECTROSCOPY Technology Vectors L1 - internal-pdf://0573556837/Hao-2010-Improving the optimization efficiency.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SPIE PY - 2010 SN - 0277786X SP - The-Chinese Optical Society (COS); CAS, The Institute of Optics and Electronics (IOE); The Society of Photo-Optical Instrumentation Engineers (SPIE) ST - Improving the optimization efficiency and precision of least squares support vector regression (LSSVR) for pear property prediction T3 - Proceedings of SPIE - The International Society for Optical Engineering TI - Improving the optimization efficiency and precision of least squares support vector regression (LSSVR) for pear property prediction UR - http://dx.doi.org/10.1117/12.865737 http://proceedings.spiedigitallibrary.org.ezproxy.lib.vt.edu/data/Conferences/SPIEP/7637/76566X_1.pdf VL - 7656 ID - 631 ER - TY - JOUR AB - In our increasingly competitive world, nowadays companies implement improvement strategies in every department and, in particular, in their manufacturing systems. This paper discusses the use of a global method, based on a knowledge-based approach, aiming at the development of a software tool for modeling and analysis of production flows. The main goal is the improvement of the performance of the production line. This method is based on data-processing and data-mining techniques and will help the acquisition of the meta-knowledge that is needed for finding correlations among different events in the line. Different techniques will be used: a graphical representation of the production, identification of specific behavior and research of correlations among events in the production line. Most of these techniques are based on statistical and probabilistic analyses. Events are expressed in the form of phenomena. To carry out high-level analyses, a stochastic approach will be used to identify breakdown models, which are the expression of specific correlations between phenomena. Breakdowns models will be the basis for, finally, defining action plans to improve the performance of the manufacturing lines. AU - Bouche, Philippe AU - Zanni-Merk, Cecilia DA - 2011/05// DO - 10.1177/0037549710378019 IS - 5 PY - 2011 SN - 0037-5497 SP - 363-383 ST - Improving the performance of production lines with an expert system using a stochastic approach T2 - Simulation-Transactions of the Society for Modeling and Simulation International TI - Improving the performance of production lines with an expert system using a stochastic approach UR - http://sim.sagepub.com/content/87/5/363 VL - 87 ID - 2138 ER - TY - CONF AB - The C4.5 decision tree and naive Bayes learners are known to produce unreliable probability forecasts. We have used simple binning (Zadrozny and Elkan, 2001) and Laplace transform (Cestnik, 2001) techniques to improve the reliability of these learners and compare their effectiveness with that of the newly developed Venn probability machine (VPM) meta-learner (Vovk et al., 2003). We assess improvements in reliability using loss functions, receiver operator characteristic (ROC) curves and empirical reliability curves (ERC). The VPM outperforms the simple techniques to improve reliability, although at the cost of increased computational intensity and slight increase in error rate. These trade-offs are discussed. AU - Lindsay, D. AU - Cox, S. C3 - Fourth IEEE International Conference on Data Mining, 1-4 Nov. 2004 DA - 2004 KW - Bayes methods decision trees forecasting theory Laplace transforms learning (artificial intelligence) Probability reliability theory PB - IEEE Comput. Soc. PY - 2004 SP - 459-62 ST - Improving the reliability of decision tree and naive Bayes learners T3 - Fourth IEEE International Conference on Data Mining TI - Improving the reliability of decision tree and naive Bayes learners ID - 1012 ER - TY - JOUR AB - Planning and policy analysis at the national, state and inter-regional corridor levels depends on reliable information and forecasts about long-distance travel. Emerging passive data collection technologies such as GPS, smartphones, and social media provide the opportunity for researchers and practitioners to potentially supplement or replace traditional long-distance travel surveys. However, certain important trip information, such as trip purpose, travel mode, and travelers socio-demographic characteristics, is missing from passively collected travel data. One promising solution to this data issue is to impute the missing information based on supplementary data (e.g., land use) and advanced statistical or data mining algorithms. This paper develops machine learning methods, including decision tree and meta-learning, to estimate trip purposes for long-distance passenger travel. A passively collected long-distance trip dataset is simulated from the 1995 American Travel Survey for the development and validation of the machine learning methods. The predictive accuracy of the proposed methods is evaluated for several scenarios varying with trip purposes and the extent of data availability as inputs. This research design will provide not only a practically useful approach for long-distance trip purpose imputation, but also generate valuable insights for future long-distance travel surveys. Results show that the accuracy of the trip purpose imputation methods based on all available data decreases from 95% with two purposes (business and non-business) to 77% with four purposes (business, personal business, social visit, and leisure). Based on a two-purpose scheme, the predictive accuracy of the imputation algorithms decreases from 95% when all input data is used (a full-information model), to 72% with a minimum information model that only utilizes the passively collected data. If travelers socio-demographic characteristics are available (possibly through other imputation models), the predictive accuracy only decreases from 95 to 91%. 2015, Springer Science+Business Media New York. AU - Lu, Yijing AU - Zhang, Lei DA - 2015 DO - 10.1007/s11116-015-9595-0 IS - 4 J2 - Transportation KW - Algorithms artificial intelligence data mining decision trees Information theory Land use Learning systems Population statistics Surveys transportation N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 00494488 SP - 581-595 ST - Imputing trip purposes for long-distance travel T2 - Transportation TI - Imputing trip purposes for long-distance travel UR - http://dx.doi.org/10.1007/s11116-015-9595-0 VL - 42 ID - 1197 ER - TY - JOUR AB - Objective: The aim of this study was to identify key genes associated with endometriosis. Study design: Microarray data GSE7846 was downloaded from Gene Expression Omnibus. The differentially expressed genes (DEGs) in human endometrial endothelial cells derived from eutopic endometrium of patients with endometriosis compared with controls without endometriosis were identified using Linear Models for Microarray Data (LIMMA) package in R. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and gene ontology (GO) enrichment analyses were performed using DAVID. Moreover, the protein-protein interaction (PPI) network was constructed by STRING and subsequently significantly enriched modules were mined by ClusterONE. Finally, protein domains and KEGG pathway enrichment analyses were performed for PPI modules. Results: A total of 687 DEGs were identified, including 584 up- and 103 down-regulated genes. The up-regulated DEGs, such as epidermal growth factor (EGF) and interleukin 1 beta (IL-beta) were significantly enriched in KEGG pathways of focal adhesion, ECM-receptor interaction and calcium signaling pathway. Similarly, only one module was obtained form PPI network, and the genes, like angiotensin II receptor, Type 1 (AGTR1) in the module were mainly enriched in protein domain of rhodopsin-like G protein-coupled receptors and most altered pathways of neuroactive ligand-receptor interaction, calcium signaling pathway and vascular smooth muscle contraction. Conclusions: Our findings indicate that EGF, IL-1,8 and AGTRI may play important roles in the pathogenesis of endometriosis. (C) 2015 Elsevier Ireland Ltd. All rights reserved. AU - Liu, Fangmei AU - Lv, Xiaomei AU - Yu, Haifeng AU - Xu, Ping AU - Mac, Rong AU - Zou, Kun DA - 2015/11// DO - 10.1016/j.ejogrb.2015.08.028 PY - 2015 SN - 0301-2115 SP - 119-124 ST - In search of key genes associated with endometriosis using bioinformatics approach T2 - European Journal of Obstetrics & Gynecology and Reproductive Biology TI - In search of key genes associated with endometriosis using bioinformatics approach VL - 194 ID - 2252 ER - TY - CONF AB - With increasing numbers of genomic datasets becoming publicly available, new analysis and filtering tools are needed to serve user communities. Here we describe the development of the Roche In Silico Target Portal (ISTP) for Oncology research, a system that integrates meta-analysis results of gene expression studies with gene-disease, gene-mutation as well as gene-compound (competitor information) relationships into a single entry application. This system uses a three-tier architecture that includes an Oracle relational database, a set of data processing pipelines, and a Java-based web interface. The data processing pipelines were developed in house using Accelrys' Pipeline Pilot. Currently, the ISTP database contains data for seven major tumor types with tens of thousands of records on genes, compounds, mutations, and gene-disease relationship, accessible to Roche internal users via a simple user interface. The ISTP application highlights the potential of such a data integration system for drug discovery and development. AU - Ying, Li AU - Venkatiahgari, J. AU - Liping, Jin AU - Cheng, D. T. AU - Cai, J. C3 - 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 4-7 Oct. 2012 DA - 2012 DO - 10.1109/BIBM.2012.6392636 KW - Biochemistry Biomedical engineering Cancer Computer architecture data mining Drugs Genomics Java medical computing molecular biophysics pipeline processing portals relational databases SQL tumours User interfaces PB - IEEE PY - 2012 SP - 8-pp. ST - In Silico target portal: an integrated oncology target discovery web portal T3 - 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) TI - In Silico target portal: an integrated oncology target discovery web portal UR - http://dx.doi.org/10.1109/BIBM.2012.6392636 ID - 1113 ER - TY - JOUR AB - A hypoxia-associated gene signature (metagene) was previously derived via in vivo data-mining. In this study, we aimed to investigate whether this approach could identify novel hypoxia regulated genes. From an initial list of nine genes, three were selected for further study (BCAR1, IGF2BP2 and SLCO1B3). Ten cell lines were exposed to hypoxia and interrogated for the expression of the three genes. All three genes were hypoxia inducible in at least one of the 10 cell lines with SLCO1B3 induced in seven. SLCO1B3 was studied further using chromatin immunoprecipitation and luciferase assays to investigate hypoxia inducible factor (HIF) dependent transcription. Two functional HIF response elements were identified within intron 1 of the gene. The functional importance of SLCO1B3 was studied by gene knockdown experiments followed by cell growth assays, flow cytometry and Western blotting. SLCO1B3 knockdown reduced cell size and 3-dimensional spheroid volume, which was associated with decreased activation of the mammalian target of rapamycin (mTOR) pathway. Finally, Oncomine analysis revealed that head and neck and colorectal tumours had higher levels of SLCO1B3 compared to normal tissue. Thus, the knowledge based approach for deriving gene signatures can identify novel biologically relevant genes. (C) 2012 Published by Elsevier Ltd. AU - Ramachandran, Anassuya AU - Betts, Guy AU - Bhana, Sara AU - Helme, Gemma AU - Blick, Christopher AU - Moller-Levet, Carla AU - Saunders, Emma AU - Valentine, Helen AU - Pepper, Stuart AU - Miller, Crispin J. AU - Buffa, Francesca AU - Harris, Adrian L. AU - West, Catharine M. L. DA - 2013/05// DO - 10.1016/j.ejca.2012.12.003 IS - 7 PY - 2013 SN - 0959-8049 SP - 1741-1751 ST - An in vivo hypoxia metagene identifies the novel hypoxia inducible factor target gene SLCO1B3 T2 - European Journal of Cancer TI - An in vivo hypoxia metagene identifies the novel hypoxia inducible factor target gene SLCO1B3 VL - 49 ID - 2165 ER - TY - CONF AB - In this paper we are proposing a general integrated model which uses machine learning system for managing inconsistency in software functional requirements by adapting the suggested model in our previous work. Machine learning system will provide our model for inconsistency management with greater solution accuracy, greater coverage of problems, reducing the time of accomplishing the work and making it more intelligent by using previous experiences, discovering new patterns to perform pattern analysis and transferring it to rules which will help us in managing inconsistencies more efficiently and effectively. This proposed model provides a systematic approach for managing inconsistency from early stages till the end of development process .All the information's related to inconsistencies during development process are recorded in meta data for further using this data in analysis, reasoning, learning and even for further data mining studies. AU - Khaldi, R. A. N. AU - Abu-Soud, S. C3 - 2007 International Conference on Machine Learning; Models, Technologies & Applications (MLMTA'07), 25-28 June 2007 DA - 2007 KW - data analysis data mining formal specification inference mechanisms learning (artificial intelligence) meta data software development management PB - CSREA Press PY - 2007 SP - 182-9 ST - Inconsistency management in software functional requirements: a machine learning system T3 - 2007 International Conference on Machine Learning; Models, Technologies Applications (MLMTA'07) TI - Inconsistency management in software functional requirements: a machine learning system ID - 1582 ER - TY - JOUR AB - Availability of individual patient-level data (IPD) broadens the scope of network meta-analysis (NMA) and enables us to incorporate patient-level information. Although IPD is a potential gold mine in biomedical areas, methodological development has been slow owing to limited access to such data. In this paper, we propose a Bayesian IPD NMA modeling framework for multiple continuous outcomes under both contrast-based and arm-based parameterizations. We incorporate individual covariate-by-treatment interactions to facilitate personalized decision making. Furthermore, we can find subpopulations performing well with a certain drug in terms of predictive outcomes. We also impute missing individual covariates via an MCMC algorithm. We illustrate this approach using diabetes data that include continuous bivariate efficacy outcomes and three baseline covariates and show its practical implications. Finally, we close with a discussion of our results, a review of computational challenges, and a brief description of areas for future research. Copyright (c) 2015 John Wiley & Sons, Ltd. AU - Hong, Hwanhee AU - Fu, Haoda AU - Price, Karen L. AU - Carlin, Bradley P. DA - 2015/09/10/ DO - 10.1002/sim.6519 IS - 20 L1 - internal-pdf://0775056794/Hong-2015-Incorporation of individual-patient.pdf PY - 2015 SN - 0277-6715 SP - 2794-2819 ST - Incorporation of individual-patient data in network meta-analysis for multiple continuous endpoints, with application to diabetes treatment T2 - Statistics in Medicine TI - Incorporation of individual-patient data in network meta-analysis for multiple continuous endpoints, with application to diabetes treatment UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/sim.6519/asset/sim6519.pdf?v=1&t=itito2uz&s=0cee31e0acc70f7eccb319f8241433df8ef85b9a VL - 34 ID - 1929 ER - TY - JOUR AB - BACKGROUND: Comprehensive literature searches are conducted over multiple medical databases in order to meet stringent quality standards for systematic reviews. These searches are often very laborious, with authors often manually screening thousands of articles. Information retrieval (IR) techniques have proven increasingly effective in improving the efficiency of this process. IR challenges for systematic reviews involve building classifiers using training data with very high class-imbalance, and meeting the requirement for near perfect recall on relevant studies. Traditionally, most systematic reviews have focused on questions relating to treatment. The last decade has seen a large increase in the number of systematic reviews of diagnostic test accuracy (DTA). OBJECTIVE: We aim to demonstrate that DTA reviews comprise an especially challenging subclass of systematic reviews with respect to the workload required for literature screening. We identify specific challenges for the application of IR to literature screening for DTA reviews, and identify potential directions for future research. METHODS: We hypothesize that IR for DTA reviews face three additional challenges, compared to systematic reviews of treatments. These include an increased class-imbalance, a broader definition of the target class, and relative inadequacy of available metadata (ie, medical subject headings (MeSH) terms for medical literature analysis and retrieval system online). Assuming these hypotheses to be true, we identify five manifestations when we compare literature searches of DTA versus treatment. These manifestations include: an increase in the average number of articles screened, and increase in the average number of full-text articles obtained, a decrease in the number of included studies as a percentage of full-text articles screened, a decrease in the number of included studies as a percentage of all articles screened, and a decrease in the number of full-text articles obtained as a percentage of all articles screened. As of July 12 2013, 13 published Cochrane DTA reviews were available and all were included. For each DTA review, we randomly selected 15 treatment reviews published by the corresponding Cochrane Review Group (N=195). We then statistically tested differences in these five hypotheses, for the DTA versus treatment reviews. RESULTS: Despite low statistical power caused by the small sample size for DTA reviews, strong (P<.01) or very strong (P<.001) evidence was obtained to support three of the five expected manifestations, with evidence for at least one manifestation of each hypothesis. The observed difference in effect sizes are substantial, demonstrating the practical difference in reviewer workload. CONCLUSIONS: Reviewer workload (volume of citations screened) when screening literature for systematic reviews of DTA is especially high. This corresponds to greater rates of class-imbalance when training classifiers for automating literature screening for DTA reviews. Addressing concerns such as lower quality metadata and effectively modelling the broader target class could help to alleviate such challenges, providing possible directions for future research. AU - Petersen, Henry AU - Poon, Josiah AU - Poon, Simon K. AU - Loy, Clement DA - 2014 DO - 10.2196/medinform.3037 IS - 1 J2 - JMIR Med Inform KW - classification and clustering data mining Information storage and retrieval Meta-analysis review literature L1 - internal-pdf://4059243603/fc-xsltGalley-3037-39660-37-PB.pdf LA - eng PY - 2014 SN - 2291-9694 SP - e11 ST - Increased workload for systematic review literature searches of diagnostic tests compared with treatments: challenges and opportunities T2 - JMIR medical informatics TI - Increased workload for systematic review literature searches of diagnostic tests compared with treatments: challenges and opportunities VL - 2 ID - 53 ER - TY - CONF AB - OLAP (online analytical processing) servers usually pre-compute data cubes to improve the response time of possible aggregate queries over cuboids with different grouping attributes. To reduce the huge size of a sparse data cube, the base single tuples (BSTs) are explored to condense cube tuples aggregated from the same set of source tuples into one tuple, whenever such condensing will not require further aggregate when the cube is used to answer queries. We propose the CuboidTree to index the BST condensed cube. Using both synthetic and real world data, we conducted experiments to demonstrate query processing and bulk incremental updating performance of the indexing scheme. AU - Jianlin, Feng AU - Hongjie, Si AU - Yucai, Feng C3 - 15th International Conference on Scientific and Statistical Database Management, 9-11 July 2003 DA - 2003 KW - database indexing data mining meta data query processing PB - IEEE Comput. Soc. PY - 2003 SP - 23-32 ST - Indexing and incremental updating condensed data cube T3 - 15th International Conference on Scientific and Statistical Database Management. SSDBM 2003 TI - Indexing and incremental updating condensed data cube ID - 1335 ER - TY - CONF AB - An increasing number of problems in mechanics and physics involves multiphysics coupled problems. Among these problems, we can often find electromagnetic coupled problems. Electromagnetic couplings may be involved through the use of direct or induced currents for thermal purposes-in order to generate heat inside a work piece in order to get either a prescribed temperature field or some given mechanical or metallurgical properties through an accurate control of temperature evolution with respect to time-, or for solid or fluid mechanics purposes-in order to create magnetic forces such as in fluid mechanics (electromagnetic stirring,...) or solid mechanics (magnetoforming,...). Induction heat treatment processes is therefore quite difficult to control; trying for instance to minimize distortions generated by such a process is not easy. In order to achieve these objectives, we have developed a computational tool which includes an optimsation stage. A 3D finite element modeling tool for local quenching after induction heating processes has already been developed in our laboratory. The modeling of such a multiphysics coupled process needs taking into account electromagnetic, thermal, mechanical and metallurgical phenomenon-as well as their mutual interactions during the whole process: heating and quenching. The model developed is based on Maxwell equations, heat transfer equation, mechanical equilibrium computations, Johnson-Mehl-Avrami and Koistinen-Marburger laws. All these equations and laws may be coupled but some coupling may be neglected. In our study, we will also focus on induction heating process aiming at optimising the Heat Affected Zone (HAZ). Thus problem is formalized as an optimization problem-minimizing a cost function which measures the difference between computed and optimal temperatures-along with some constraints on process parameters. The optimization algorithms may be of two kinds-either zero-order or first-order algorithms. First-order algorithms have proved their efficiency for induction heating processes. However, zero-order algorithms-such as evolution strategy algorithms-are better at reaching global minimal values for cost functions. We use here a method based on Efficient Global Optimization algorithm developed by Jones which is an optimization procedure assisted by a meta model. We will present some results obtained with our numerical tool on the preheating of a part before forging. We will focus on the control of temperature profile at the end of induction heating stage. AU - Naar, R. AU - Bay, F. C3 - 14th International Esaform Conference on Material Forming: Esaform 2011, 27-29 April 2011 DA - 2011 DO - 10.1063/1.3590421 KW - finite element analysis heat transfer induction heating quenching (thermal) PB - American Institute of Physics PY - 2011 SN - 0094-243X SP - 1119-24 ST - Induction Heating Process: 3D Modeling and Optimisation T2 - AIP Conference Proceedings T3 - AIP Conf. Proc. (USA) TI - Induction Heating Process: 3D Modeling and Optimisation UR - http://dx.doi.org/10.1063/1.3590421 VL - 1353 ID - 576 ER - TY - JOUR AB - Introduction: Australian natural resource exploration and production companies are employing paramedics to provide emergency medical response, primary health care, injury prevention, and health promotion services in remote locations nationally and internationally. Although Australian paramedic practice has steadily evolved to include increasingly complex medical interventions in the prehospital setting, paramedics are not yet registered health professionals, and in many states and territories their title is not protected. Similarly, tertiary-level education is becoming the entry to practice standard for traditional ambulance paramedics; however, certificate- and diploma-level paramedic courses remain an acceptable pathway to private and industrial paramedic jobs. To ensure acceptable patient safety standards are maintained and to protect all related stakeholders, the role, skills, training, and professional capacity of industrial paramedics must be defined. Methods: The study objective was to explore the published literature for a definition for the discipline of industrial paramedicine. A comprehensive systematic analysis was conducted using the EBSCOhost (health), MEDLINE, SCOPUS, and CINAHL electronic databases. The primary search terms remote, offshore, mining, and oil were combined with the secondary search terms paramedic and emergency medical services. Results: An initial search using the combined two-term sets identified 870 citations. After application of the inclusion and exclusion criteria to a title and abstract review, 69 citations met the criteria including those discovered by searching the reference lists. Of these, nine citations were excluded because full-text papers could not be found and eight citations were excluded based on review of the full article. The result was 40 articles that discuss the role of paramedics in the remote or offshore environment (ROP) and 12 articles that discuss the provision of emergency medical services in the mining or oil and gas sectors (MOEMS). There is no single definition or comprehensive role description for industrial paramedic practice within the literature. Conclusions: Worldwide, there is little high-quality published evidence to adequately reflect all aspects of industrial paramedic practice. However, based on the literature available, this definition is offered: ‘An industrial paramedic is an advanced clinical practitioner in paramedicine with an expanded scope of practice. The industrial paramedic provides emergency response, primary health care, chronic disease management, injury prevention, health promotion, medical referral, and repatriation coordination at remote mining sites, offshore installations, and other isolated industry settings. The industrial paramedic is resourceful, adaptable, and comfortable working independently. Industrial paramedics practice on site with limited resources, remotely located from tertiary care, and use telemedicine to consult with other health professionals as required. Industrial paramedics are experts at rapidly assessing, prioritising, and establishing control in their unpredictable workspace to reduce risks and create an environment conducive to quality patient care. The industrial paramedic preferably holds a specialised tertiary qualification and is committed to maintaining their clinical competency through continuing professional development.' Further research is required to validate, refute, or expand this proposed definition. AN - 103871209. Language: English. Entry Date: 20150110. Revision Date: 20150710. Publication Type: Journal Article AU - Acker, J. J. AU - Johnston, T. J. AU - Lazarsfeld-Jensen, A. DA - 2014/10// DB - c8h DP - EBSCOhost IS - 4 J2 - Rural & Remote Health KW - Australia CINAHL Database Education, Diploma Programs Emergency Medical Technicians -- Education -- Australia Extraction and Processing Industry Human Medline Occupational Medicine Professional Role Rural Areas Scope of Practice Systematic review N1 - research; systematic review; tables/charts. Journal Subset: Australia & New Zealand; Biomedical; Double Blind Peer Reviewed; Editorial Board Reviewed; Expert Peer Reviewed; Peer Reviewed. Special Interest: Evidence-Based Practice. NLM UID: 101174860. PY - 2014 SN - 1445-6354 SP - 1-17 ST - Industrial paramedics, out on site but not out of mind T2 - Rural & Remote Health TI - Industrial paramedics, out on site but not out of mind UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=103871209&scope=site VL - 14 ID - 403 ER - TY - JOUR AB - The diversity of surrounding vegetation is thought to modify the interactions between a focal plant and its herbivores, disrupting (associational resistance) or enhancing (associational susceptibility) host plant location and colonisation. We compared the effects of host plant concentration on herbivory by generalist and specialist insects feeding on oak seedlings by increasing local concentration of seedlings. We also assessed the effects of the composition and structure of surrounding vegetation, both at stand and local levels. The damage caused by generalist leaf-feeding insects depended on the structure of plant communities at stand level, and increased with tree cover. By contrast, infestation by specialist leaf miners was affected by local understorey vegetation surrounding oak seedlings, and decreased with increasing shrub cover and stratification diversity. Leaf mine abundance was higher at higher oak seedling density, giving support to the host concentration hypothesis. However, the abundance of these specialist herbivores was also negatively correlated with damage caused by the generalist external leaf-feeders, suggesting competitive interactions. AU - Giffard, Brice AU - Jactel, Herve AU - Corcket, Emmanuel AU - Barbaro, Luc DA - 2012 DO - 10.1016/j.baae.2012.08.004 IS - 5 L1 - internal-pdf://3702208710/Giffard-2012-Influence of surrounding vegetati.pdf PY - 2012 SN - 1439-1791 SP - 458-465 ST - Influence of surrounding vegetation on insect herbivory: A matter of spatial scale and herbivore specialisation T2 - Basic and Applied Ecology TI - Influence of surrounding vegetation on insect herbivory: A matter of spatial scale and herbivore specialisation UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1439179112000849/1-s2.0-S1439179112000849-main.pdf?_tid=27a80dae-8336-11e6-ac6e-00000aab0f6b&acdnat=1474818109_66ab6edca5f5a06750c11068637a10c1 VL - 13 ID - 2264 ER - TY - CHAP A2 - Kocaoglu, D. F. A2 - Anderson, T. R. A2 - Daim, T. U. A2 - Kozanoglu, D. C. A2 - Niwa, K. A2 - Perman, G. AB - This research aims on investigation the principles of Enhancement of Employee Enthusiasm (EEE) in mining industry. The methodology of study is through structural equation modeling to explain the relationship of each variable. Sampling through online based survey was conducted and analyzed 242 responses from workers of mining industry of Mongolia. The result shows the job satisfaction(JS), leadership behavior(LB) and organizational commitment(OC) significantly influenced of EEE. But, the working condition(WC) no significantly influenced to EEE and obtain same result the WC through mediating variables JS impact to EEE. That indicate WC is master task to improve of enhancing employee enthusiasm in Mongolia. Organizational commitment also no significantly influenced to JS on mining industry in Mongolia. The stockholder should be upgrade employee working environment of mining company. This research also established a universal model of EEE. This study constructs revealed important implications for HR managers of mining company and recommendations for further research. AU - Chen, James K. C. AU - Lkhagvajav, Amarbayasgalan PY - 2014 SN - 978-1-890843-29-8 SP - 2433-2442 ST - The Influencing Factors of Enhancement of Employee Enthusiasm in Mining Industry: Case study of Mongolia T2 - 2014 Portland International Conference on Management of Engineering & Technology (picmet) TI - The Influencing Factors of Enhancement of Employee Enthusiasm in Mining Industry: Case study of Mongolia ID - 2204 ER - TY - JOUR AB - This paper addresses the problem of sentiment analysis in an informal setting in multiple domains and in two languages. We explore the influence of using background knowledge in the form of different sentiment lexicons, as well as the influence of various lexical surface features. We evaluate several different feature set combination strategies. We show that the improvement resulting from using a twolayer meta-model over the bag-of-words, sentiment lexicons and surface features is most notable on social media datasets in both English and Spanish. For English, we are also able to demonstrate improvement on the news domain using sentiment lexicons as well as a large improvement on the social media domain. We also demonstrate that domain-specific lexicons bring comparable performance to general-purpose lexicons. AU - tajner, Tadej AU - Novalija, Inna AU - Mladenic, Dunja DA - 2013 IS - 4 J2 - Informatica (Slovenia) KW - data mining Natural language processing systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 03505596 SP - 373-380 ST - Informal multilingual multi-domain sentiment analysis T2 - Informatica (Slovenia) TI - Informal multilingual multi-domain sentiment analysis VL - 37 ID - 1455 ER - TY - JOUR AB - In Crossing the Quality Chasm, the Institute of Medicine (IOM) Committee on Quality of Health Care in America identified the critical role of information technology in designing a health system that produces care that is 'safe, effective, patient-centered, timely, efficient, and equitable' (Committee on Quality of Health Care in America, 2001, p. 164). A subsequent IOM report contends that improved information systems are essential to a new health care delivery system that 'both prevents errors and learns from them when they occur' (Committee on Data Standards for Patient Safety, 2004, p. 1). This review specifically highlights the role of informatics processes and information technology in promoting patient safety and summarizes relevant nursing research. First, the components of an informatics infrastructure for patient safety are described within the context of the national framework for delivering consumer-centric and information-rich health care and using the National Health Information Infrastructure (NHII) (Thompson & Brailer, 2004). Second, relevant nursing research is summarized; this includes research studies that contributed to the development of selected infrastructure components as well as studies specifically focused on patient safety. Third, knowledge gaps and opportunities for nursing research are identified for each main topic. The health information technologies deployed as part of the national framework must support nursing practice in a manner that enables prevention of medical errors and promotion of patient safety and contributes to the development of practice-based nursing knowledge as well as best practices for patient safety. The seminal work that has been completed to date is necessary, but not sufficient, to achieve this objective. AN - 106238907. Language: English. Entry Date: 20070223. Revision Date: 20150820. Publication Type: Journal Article AU - Bakken, S. DA - 2006/06// DB - c8h DP - EBSCOhost J2 - Annual Review of Nursing Research KW - Accidental Falls -- Prevention and Control Bar Coding Computerized Patient Record databases data mining Decision Making, Computer Assisted Electronic Order Entry Goals and Objectives Human Literacy Medline Nursing Classification Nursing Informatics Patient Safety Pressure Ulcer -- Prevention and Control Research, Nursing Self Care Systematic review Treatment Errors -- Prevention and Control United States Agency for Healthcare Research and Quality N1 - research; systematic review; tables/charts. Journal Subset: Core Nursing; Nursing; Peer Reviewed; USA. NLM UID: 8406387. PY - 2006 SN - 0739-6686 SP - 219-254 ST - Informatics for patient safety: a nursing research perspective T2 - Annual Review of Nursing Research TI - Informatics for patient safety: a nursing research perspective UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=106238907&scope=site VL - 24 ID - 406 ER - TY - JOUR AU - Bakken, Suzanne DA - 2001 DP - Google Scholar IS - 3 L1 - internal-pdf://3287385122/Bakken-2001-An informatics infrastructure is e.pdf PY - 2001 SP - 199-201 ST - An informatics infrastructure is essential for evidence-based practice T2 - Journal of the American Medical Informatics Association TI - An informatics infrastructure is essential for evidence-based practice UR - http://jamia.oxfordjournals.org/content/8/3/199.short https://www.ncbi.nlm.nih.gov/pmc/articles/PMC131027/pdf/0080199.pdf VL - 8 Y2 - 2016/09/24/16:09:56 ID - 2464 ER - TY - JOUR AB - With the rapid expansion of scientific research, the ability to effectively find or integrate new domain knowledge in the sciences is proving increasingly difficult. The development of methods and tools for assisting researchers to effectively ex-tract problem-oriented knowledge from heterogeneous and massive information sources, and for using this knowledge in problem-solving is one of the most fundamental research directions for the information and computer sciences today. There is a need for new tools to support more precise identification of relevant research articles and provide visual clues regarding relationships among the document sets. We present the Telemakus system in which aggregated citation information and extracted research findings are displayed in a schema-based document surrogate and an interactive mapping tool provides graphical displays of research inter-relationships from documents across a domain. This system is an innovative approach to creating useful and precise document surrogates and may re-conceptualize the way we currently represent, retrieve, and assimilate research findings from the published literature. AU - Revere, Debra AU - Fuller, Sherrilynne AU - Bugni, Paul F. AU - Martin, George M. DA - 2004 IS - Pt 2 J2 - Stud Health Technol Inform KW - *Biomedical Research *Databases as Topic Computer Graphics Computer Systems Information Storage and Retrieval/*methods User-Computer Interface LA - eng PY - 2004 SN - 0926-9630 0926-9630 SP - 788-792 ST - An information extraction and representation system for rapid review of the biomedical literature T2 - Studies in health technology and informatics TI - An information extraction and representation system for rapid review of the biomedical literature VL - 107 ID - 247 ER - TY - CONF AB - Document Annotation is the task of adding metadata information in the document which is useful in information extraction. Document annotation has emerged as a different stream in data mining. Majority of algorithms are concentrated on query workload. This paper uses Probing algorithm with Bayesian approach which identifies the attribute based on query workload, text frequency and content of the previous text annotation such as content value. This method has been implemented in datasets that facilitates data annotation and prioritizes the values of the attributes by ranking scheme. Query cost is also low when compared to other approach. The experimental analysis shows a better performance while comparing with other methods because probability theory provides a principled foundation for such reasoning under uncertainty. AU - Davidson, J. D. AU - Jacob, I. J. AU - Srinivasagam, K. G. C3 - 2014 International Conference on Information Communication and Embedded Systems (ICICES), 27-28 Feb. 2014 DA - 2014 DO - 10.1109/ICICES.2014.7033761 KW - Bayes methods data mining meta data query processing text analysis uncertainty handling PB - IEEE PY - 2014 SP - 4-pp. ST - Information extraction based on probing algorithm with Bayesian approach T3 - 2014 International Conference on Information Communication and Embedded Systems (ICICES) TI - Information extraction based on probing algorithm with Bayesian approach UR - http://dx.doi.org/10.1109/ICICES.2014.7033761 ID - 1739 ER - TY - CONF AB - Time constraints often lead a reader of scientific paper to read only the title and abstract of the paper, but reading these parts is often ineffective. This study aims to extract information automatically in order to help the readers get structured information from a scientific paper. The information extraction is done by rhetorical classification of each sentence in a scientific paper. Rhetoric information is the intention to be conveyed to the reader by the author of the paper. This research used corpus-based approach to build rhetorical classifier. Since there was a lack of rethorical corpus, we constructed our own corpus, which is a collection of sentences that have been labeled with rhetorical information. Each sentence represented as a vector of content, location, citation, and meta-discourses features. This collection of feature vectors is used to build rhetorical classifiers by using machine learning techniques. Experiments were conducted to select the best learning techniques for rhetorical classifier. Training set consists of 7239 labeled sentences, and the testing set consists of 3638 labeled sentences. We used WEKA (Waikato Environment for Knowledge Analysis) and LibSVM libraries. Learning techniques being considered were Naive Bayes, C4.5, Logistic, Multi-Layer Perceptron, PART, Instance-based Learning, and Support Vector Machines (SVM). The best performers are the SVM and Logistic classifier with accuracy of 0.51. By applying one-against-all strategy, the SVM accuracy can be improved to 0.60. 2011 IEEE. AU - Khodra, M. L. AU - Widyantoro, D. H. AU - Aziz, E. A. AU - Bambang, R. T. C3 - 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011, July 17, 2011 - July 19, 2011 DA - 2011 DO - 10.1109/ICEEI.2011.6021634 KW - Electrical engineering Information analysis Learning algorithms Support Vector Machines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 SP - IEEE-Indonesia Section; IEEE Eng. Med. Biol. Soc. - Indonesia Chapter; IEEE Circuit and Systems Society - Indonesia Chapter; IEEE Electron Devices, Educ., Signal Process.,; Power Energy Syst. Soc. - Indonesia Jt. Chapter ST - Information extraction from scientific paper using rhetorical classifier T3 - Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 TI - Information extraction from scientific paper using rhetorical classifier UR - http://dx.doi.org/10.1109/ICEEI.2011.6021634 ID - 1132 ER - TY - JOUR AB - This study is aimed at determining the future share net inflows and outflows of Exchange Traded Funds (ETFs). The relationship between net flows is closely related to investor perception of the future and past performance of mutual funds. The net flows for Exchange Traded Funds are expected to be less related to overall fund performance, but rather based on the characteristics of the fund that make it attractive to an individual investor. In order to explore the relationship between investors perception of ETFs and subsequent net flows, this study is designed to shed light on the multifaceted linkages between fund characteristics and net flows. A meta-classification predictive modeling approach is designed for the use of large data sets. Then its implementation and results are discussed. A thorough selection of fifteen attributes from each fund, which are the most likely contributors to fund inflows and outflows, is deployed in the analyses. The large data set calls for the use of a robust systematic approach to identifying the attributes of the funds that best predict future inflows and outflows of the fund. The predictive performance of the proposed decision analytic methodology was assessed via the 10-fold cross validation, which yielded very promising results. 2016 Springer Science+Business Media New York AU - Oztekin, Asil DA - 2016 DO - 10.1007/s10796-016-9704-4 KW - Classification (of information) Commerce data mining Investments N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 13873326 SP - 1-16 ST - Information fusion-based meta-classification predictive modeling for ETF performance TI - Information fusion-based meta-classification predictive modeling for ETF performance UR - http://dx.doi.org/10.1007/s10796-016-9704-4 ID - 1534 ER - TY - CONF AB - We describe FCART software system, a universal integrated environment for knowledge and data engineers with a set of research tools based on Formal Concept Analysis. The system is intended for knowledge discovery from big dynamic data collections, including text collections. FCART allows the user to load structured and unstructured data (texts and various metainformation) from heterogeneous data sources, build data snapshots, compose queries, generate and visualize concept lattices, clusters, attribute dependencies, and other useful analytical artifacts. Full preprocessing scenario is considered. AU - Neznanov, A. A. AU - Kuznetsov, S. O. C3 - Workshop Formal Concept Analysis Meets Information Retrieval, FCAIR 2013, March 24, 2013 DA - 2013 KW - data mining Data reduction Formal concept analysis Information analysis information retrieval N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - CEUR-WS PY - 2013 SN - 16130073 SP - 74-82 ST - Information retrieval and knowledge discovery with FCART T3 - CEUR Workshop Proceedings TI - Information retrieval and knowledge discovery with FCART VL - 977 ID - 1339 ER - TY - JOUR AB - Research syntheses are increasingly being conducted within the fields of ecology and environmental management. Information retrieval is crucial in any synthesis in identifying data for inclusion whilst potentially reducing biases in the dataset gathered, yet the nature of ecological information provides several challenges when compared with medicine that should be considered when planning and undertaking searches. We present ten recommendations for anyone considering undertaking information retrieval for ecological research syntheses that highlight the main differences with medicine and, if adopted, may help reduce biases in the dataset retrieved, increase search efficiency and improve reporting standards. They are as follows: (1) plan for information retrieval at an early stage, (2) identify and use sources of help, (3) clearly define the question to be addressed, (4) ensure that provisions for managing, recording and reporting the search are in place, (5) select an appropriate search type, (6) identify sources to be used, (7) identify limitations of the sources, (8) ensure that the search vocabulary is appropriate, (9) identify limits and filters that can help direct the search, and (10) test the strategy to ensure that it is realistic and manageable. These recommendations may be of value for other disciplines where search infrastructures are not yet sufficiently well developed. AU - Bayliss, Helen R. AU - Beyer, Fiona R. DA - 2015 DO - 10.1002/jrsm.1120 DP - APA PsycNET IS - 2 KW - *Automated Information Retrieval *Ecology *Literature Review Quantitative Methods L1 - internal-pdf://3455528526/Bayliss-2015-Information retrieval for ecologi.pdf LA - English PY - 2015 SN - 1759-2887 1759-2879 SP - 136-148 ST - Information retrieval for ecological syntheses T2 - Research Synthesis Methods TI - Information retrieval for ecological syntheses UR - http://psycnet.apa.org.ezproxy.lib.vt.edu/index.cfm?fa=search.displayRecord&id=3FADC1DE-9041-E9D3-1B0A-3623CB6197E7&resultID=11&page=1&dbTab=all&search=true http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/jrsm.1120/asset/jrsm1120.pdf?v=1&t=itiqaudw&s=f28166bb683a4bb12c945608a3bcb6025b48a8f2 VL - 6 ID - 458 ER - TY - CONF A2 - Gattiker, J. R. A2 - Wang, J. T. L. A2 - Wang, P. P. AB - The proceedings contains 7 papers from the Conference on Information Sciences. Topics discussed include: bioinformatics; experiences applying meta-data to bioinformatics; approaches to visualisation in bioinformatics; new algorithm for computing similarity between RNA structures; self-organizing maps in mining gene expression data; discrete-valued clustering algorithm; and effective hidden Markov models. C3 - Bioinformatics, February 27, 2000 - March 3, 2000 DA - 2001 KW - Algorithms Biocommunications Computational methods Constraint theory Data reduction Distance measurement Distributed database systems DNA Information analysis Markov processes Metadata Molecular Structure Pattern matching Principal Component Analysis Space research Statistical methods Trees (mathematics) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Elsevier Inc. PY - 2001 SN - 00200255 ST - Information sciences T3 - Information Sciences TI - Information sciences VL - 139 ID - 678 ER - TY - BOOK AB - Advances in both technology and publishing practices continue to increase the quantity of scientific literature that is available electronically. In this paper, we introduce the Information Synthesis process, a new approach that enables scientists to visualize, explore, and resolve contradictory findings that are inevitable when multiple empirical studies explore the same natural phenomena. Central to the Information Synthesis approach is a cyber-infrastructure that provides a scientist with both primary and secondary information from an article and structured information resources. To demonstrate this approach, we have developed the Multi-User, Information Extraction for Information Synthesis (METIS) System. METIS is an interactive system that automates critical tasks within the Information Synthesis process. We provide two case-studies that demonstrate the utility of the Information Synthesis approach. AU - Blake, C. DA - 2005 PY - 2005 SN - 1-58113-876-8 ST - Information synthesis: A new approach to explore secondary information in scientific literature TI - Information synthesis: A new approach to explore secondary information in scientific literature ID - 2005 ER - TY - CONF AB - The target of this article is the presentation of the PRM software tool focusing on information technology side. PRM is a software tool intended to manage drug-related problems (DRP) in patients. Patient systematic review of DRP stated by regional and national governments are a realistic option but they required the lead and total commitment of clinical staff at all levels in the organization and also support by information technology systems as data mining analysis and software tools. AU - Mata, J. L. T. AU - Mendez Valera, P. AU - Molina, M. C. AU - Lopez, P. A. AU - Donat, M. F. C3 - International Work-Conference on Bioinformatics and Biomedical Engineering. IWBBIO 2013, 18-20 March 2013 DA - 2013 KW - data mining Information systems pattern classification Pharmaceutical industry software tools PB - Copicentro Granada S.L. PY - 2013 SP - 263-4 ST - Information system for pharmaceutical management using drug-related problems classification T3 - International Work-Conference on Bioinformatics and Biomedical Engineering. IWBBIO 2013. Proceedings TI - Information system for pharmaceutical management using drug-related problems classification ID - 1164 ER - TY - JOUR AU - Rodrigues, Roberto J. DA - 2000 DP - Google Scholar IS - 11 PY - 2000 SP - 1344-1351 ST - Information systems T2 - Bulletin of the World Health Organization TI - Information systems: the key to evidence-based health practice UR - http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862000001100010 VL - 78 Y2 - 2016/09/24/16:09:56 ID - 2460 ER - TY - CONF AB - The proceedings contain 15 papers. The topics discussed include: intelligent data acquisition and scoring system for intensive medicine; data mining in the study of the chronic obstructive pulmonary disease; practical problems and solutions in hospital information system data mining; using generic meta-data-models for clustering medical data; a mobile based authorization mechanism for patient managed role based access control; an integrative clustering approach combining particle swarm optimization and formal concept analysis; link prediction approaches for disease networks; toward a semantic framework for the querying, mining and visualization of cancer microenvironment data; argumentation to represent and reason over biological systems; the use of design specificity in standardized mean difference for analysis of high throughput RNA interference screens; and toward a translational medicine approach for hypertrophic cardiomyopathy. C3 - 3rd International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2012, September 4, 2012 - September 5, 2012 DA - 2012 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2012 SN - 03029743 ST - Information Technology in Bio- and Medical Informatics - Third International Conference, ITBAM 2012, Proceedings T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Information Technology in Bio- and Medical Informatics - Third International Conference, ITBAM 2012, Proceedings VL - 7451 LNCS ID - 755 ER - TY - JOUR AB - BACKGROUND: "Patient-Reported Outcome" (PRO) is used as an umbrella term for different concepts for measuring subjectively perceived health status e. g. as treatment effects. Their common characteristic is, that the appraisal of the health status is reported by the patient himself. In order to describe the informative value of PRO in Health Technology Assessment (HTA) first an overview of concepts, classifications and methods of measurement is given. The overview is complemented by an empirical analysis of clinical trials and HTA-reports on rheumatoid arthritis and breast cancer in order to report on type, frequency and consequences of PRO used in these documents. METHODS: For both issues systematic reviews of the literature have been performed. The search for methodological literature covers the publication period from 1990 to 2009, the search for clinical trials of rheumatoid arthritis and breast cancer covers the period 2005 to 2009. Both searches were performed in the medical databases of the German Institute of Medical Documentation and Information (DIMDI). The search for AU - Brettschneider, Christian AU - Luhmann, Dagmar AU - Raspe, Heiner DA - 2011 DO - 10.3205/hta000092 J2 - GMS Health Technol Assess KW - academic review accident arthritis, rheumatoid biomedical technology assessment blinded blinded study blinded trial blinding breast cancer breast neoplasms carcinoma of the breast care clinical studies clinical trials Clinical Trials as Topic concept controlled clinical study controlled clinical trial controlled clinical trials as topic cost analysis cost-benefit analyses cost-benefit-analyses cost control cost-cutting cost effectiveness cost-effectiveness cost reduction costs costs and cost analysis cross-over procedure crossover procedure cross-over studies cross-over trials decision making Diagnosis double blind doubleblind double blind method double-blind method double blind procedure double-blind procedure EBM economic aspect economics economics, medical effectiveness Efficacy Efficiency endpoint endpoint determination ethics Evaluation Studies as Topic Evidence-Based Medicine evidence based medicine Health health economics health economic studies Health Policy Health Status Health Technology Assessment HTA HTA report HTA-report Humans judgement juridical medical assessment medical costs medical evaluation Meta-analysis meta analysis meta analysis as topic methods models, economic multicenter studies multicenter studies as topic multicenter trial multicenter trials patient-relevant patient-relevant endpoint patient report patient reported outcome patient-reported outcome patients Patient Satisfaction patient statement peer review pharmacoeconomics placebo placebo effect placebos Prevention Prospective studies quality of life random random allocation randomisation randomised clinical study randomised clinical trial randomised controlled study randomised controlled trial randomised study randomised trial randomization randomized clinical study randomized clinical trial randomized controlled study randomized controlled trial Randomized Controlled Trials as Topic randomized study randomized trial RCT rehabilitation report research article research-article review review literature Review Literature as Topic RHEUMATOID ARTHRITIS rights Risk Assessment Sensitivity sickness costs single blind single-blind single blind method single-blind method single blind procedure single-blind procedure social economic factors Socioeconomic Factors socioeconomics specifity Systematic review technical report Technology technology assessment Technology Assessment, Biomedical technology evaluation technology, medical therapy treatment trial, cross-over trial, crossover triple blind tripleblind triple blind method tripleblind method triple blind procedure triple-blind procedure validation studies validation studies as topic L1 - internal-pdf://0653448036/Brettschneider-2011-Informative value of Patie.pdf LA - eng PY - 2011 SN - 1861-8863 1861-8863 SP - Doc01 ST - Informative value of Patient Reported Outcomes (PRO) in Health Technology Assessment (HTA) T2 - GMS health technology assessment TI - Informative value of Patient Reported Outcomes (PRO) in Health Technology Assessment (HTA) UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3070434/pdf/HTA-07-01.pdf VL - 7 ID - 78 ER - TY - JOUR AB - The development of small molecules that target RNA is challenging yet, it.;successful, could advance- ::the development of chemical probes to study RNA function or precision therapeutics to treat RNA-mediated disease. Previously, we described Inforna, an approach that can mine motifs (secondary structures) within target RNAs, which is deduced from the RNA sequence, and compare them to a database of known RNA motif small molecule binding partners. Output generated by Inforna includes the motif found in both the database and the desired RNA target, lead small molecules for that target, and other related meta data. Lead small molecules can then be tested for binding and affecting cellular (dys)function. Herein, we describe Inforna 2.0; which incorporates all known, RNA motif small molecule binding partners reported in the scientific literature, a chemical similarity searching feature, and an improved user interface and is freely available via an online web server. By incorporation of interactions identified by other laboratories, the database has been doubled, containing 1936 RNA motif small molecule interactions, including 244 unique small molecules and 1331 motifs. Interestingly, chemotype analysis of the compounds that bind RNA in the database reveals features in small molecule chemotypes that are privileged for binding. Further, this updated database expanded the number of cellular RNAs which lead compounds can be identified. AU - Disney, Matthew D. AU - Winkelsas, Audrey M. AU - Velagapudi, Sai Pradeep AU - Southern, Mark AU - Fallahi, Mohammad AU - Childs-Disney, Jessica L. DA - 2016/06// DO - 10.1021/acschembio.6b00001 IS - 6 L1 - internal-pdf://1604765404/Disney-2016-Inforna 2.0_ A Platform for the Se.pdf PY - 2016 SN - 1554-8929 SP - 1720-1728 ST - Inforna 2.0: A Platform for the Sequence-Based Design of Small Molecules Targeting Structured RNAs T2 - Acs Chemical Biology TI - Inforna 2.0: A Platform for the Sequence-Based Design of Small Molecules Targeting Structured RNAs UR - http://pubs.acs.org.ezproxy.lib.vt.edu/doi/pdfplus/10.1021/acschembio.6b00001 VL - 11 ID - 2274 ER - TY - CONF AB - Now a days Lecture videos are present methods for E-learning process. The degree of elearning video libraries on the (WWW)World Wide Web is growing very quickly. Therefore maximum appropriate technique for retrieving video within vast lecture video library is required. These videos contains text data and slides as well as in presenter's speech etc. This technique will be very beneficial for the new and existing users to search related video within a short period of time. This paper shows a different method for content based video searching for receiving correct outcomes. The main aim of the proposed system is to recover a video on the basis of its substances rather than retrieving video consulting to its title and metadata explanation in order to provide an correct for the examine query. For mining text data printed on slides we put on optical character recognition algorithm (OCR) and automatic speech recognition algorithm (ASR) to convert speaker's speech into text. AU - Pranali, B. AU - Anil, W. AU - Kokhale, S. C3 - 2015 International Conference on Computational Intelligence and Communication Networks (CICN), 12-14 Dec. 2015 DA - 2015 DO - 10.1109/CICN.2015.315 KW - data mining Distance learning meta data optical character recognition speech recognition text analysis video retrieval PB - IEEE Computer Society PY - 2015 SP - 382-6 ST - Inhalt Based Video Recuperation System Using OCR and ASR Technologies T3 - 2015 International Conference on Computational Intelligence and Communication Networks (CICN). Proceedings TI - Inhalt Based Video Recuperation System Using OCR and ASR Technologies UR - http://dx.doi.org/10.1109/CICN.2015.315 ID - 1352 ER - TY - CONF AB - In this paper we present the initial results from our longitudinal study into the personal semantics of common meta-concepts used in conceptual modeling. People have an implicit understanding of many of the meta-concepts used for modeling purposes, although these are rarely ever made explicit. We argue that a proper understanding of how modelers personally interpret the meta-concepts they use in nearly all of their (domain) models can aid in several things, e.g. explicating a modeler's (proto)typical concept usage, finding communities that share a conceptual understanding and matching individual modelers to each other. Our initial results include the analysis of data resulting from our study so far and a discussion what hypotheses they support. 2012 Springer-Verlag. AU - Van Der Linden, Dirk AU - Gaaloul, Khaled AU - Molnar, Wolfgang C3 - 17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012, June 26, 2012 - June 28, 2012 DA - 2012 DO - 10.1007/978-3-642-31178-9_48 KW - Computational linguistics data mining Information systems Natural language processing systems Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2012 SN - 03029743 SP - 360-365 ST - Initial results from a study on personal semantics of conceptual modeling languages T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Initial results from a study on personal semantics of conceptual modeling languages UR - http://dx.doi.org/10.1007/978-3-642-31178-9_48 VL - 7337 LNCS ID - 1112 ER - TY - CHAP AB - Background Background As chronic obstructive pulmonary disease (COPD) progresses, exacerbations can occur with increasing frequency. One goal of therapy is to prevent these exacerbations, thereby reducing morbidity and associated healthcare costs. Pneumococcal vaccinations are one strategy for reducing the risk of infective exacerbations. Objectives Objectives To determine the safety and efficacy of pneumococcal vaccination in COPD. The primary outcomes assessed were episodes of pneumonia and acute exacerbations. Secondary outcomes of interest included hospital admissions, adverse events related to treatment, disability, change in lung function, mortality, and cost effectiveness. Search methods Search methods We searched the Cochrane Airways Group COPD trials register and the databases CENTRAL, MEDLINE and EMBASE using pre-specified terms. The latest searches were performed in March 2010. Selection criteria Selection criteria Randomised controlled trials assessing the effects of injectable pneumococcal vaccine in people with COPD were included. Data collection and analysis Data collection and analysis Two review authors independently extracted data and three review authors independently assessed trial quality. Main results Main results Seven studies were identified that met the inclusion criteria for this review and were included in the 2010 review update. Two older trials used a 14-valent vaccine and five more recent trials used a 23-valent injectable vaccine. In six studies involving 1372 people, the reduction in likelihood of developing pneumonia with pneumococcal vaccination compared to control did not achieve statistical significance, the odds ratio (OR) was 0.72 (95% confidence interval (CI) 0.51 to 1.01), with moderate heterogeneity present between studies. The reduction in likelihood of acute exacerbations of COPD from two studies involving 216 people was not statistically significant (Peto OR 0.58; 95% CI 0.30 to 1.13). Of the secondary outcomes for which data were available there was no statistically significant effect for reduction in hospital admissions (two studies) or emergency department visits (one study). There was no significant reduction in pooled results from three studies involving 888 people for odds of all-cause mortality for periods up to 48 months post-vaccination (OR 0.94; 95% CI 0.67 to 1.33), or for death from cardiorespiratory causes (OR 1.07; 95% CI 0.69 to 1.66). Authors' conclusions Authors' conclusions The limited evidence from randomised controlled trials (RCTs) included in this review suggests that, while it is possible that injectable polyvalent pneumococcal vaccines may provide some protection against morbidity in persons with COPD, no significant effect on any of the outcomes was shown. Further large RCTs in this population would be needed to confirm effectiveness of the vaccine suggested by results from longitudinal studies. AU - Walters, Julia A. E. AU - Smith, Sabin AU - Poole, Phillippa AU - Granger, Robert H. AU - Wood-Baker, Richard DP - Wiley Online Library LA - en PB - John Wiley & Sons, Ltd PY - 2010 ST - Injectable vaccines for preventing pneumococcal infection in patients with chronic obstructive pulmonary disease T2 - Cochrane Database of Systematic Reviews TI - Injectable vaccines for preventing pneumococcal infection in patients with chronic obstructive pulmonary disease UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD001390.pub3/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD001390.pub3/full Y2 - 2016/09/18/20:15:38 ID - 431 ER - TY - CONF AB - The authors propose the new creative concept of 'Meta-Engineering' as a radical engineering approach that is critical for breakthrough innovation. Conventional engineering is defined to design a solution to a given issue optimally using technologies under given constraints. However, confronting increasingly diverse and complicated issues, the authors find limitations in this approach. Meta-Engineering, a spiral process for innovation and for solutions to challenges confronting the world, includes "mining potential issues from a bird's eye view (M)," "exploring and strengthening of the necessary science and technologies by thinking outside the box (E)," "converging these science and technologies to generate solutions (C)," and "implementing the solutions into challenges creating social added value (I)." This process is designated as a MECI cycle. The authors studied Meta-Engineering in several cases of pursued innovation. The first was the on-demand bus (ODB) services. The authors describe that analysis of RD and social implementation of ODB by the Meta-Engineering methodologies suggests further progress of ODB services. Meta-Engineering is evident in historical innovations such as blue LEDs and LED lamps, and the WALKMAN. Those observations suggest the importance of a Meta-Engineering approach in the pursuit of breakthrough innovation. 2013 PICMET. AU - Suzuki, Hiroshi AU - Okita, Yuji AU - Komatsu, Yasutoshi C3 - 2013 Portland International Conference on Management of Engineering and Technology, PICMET 2013, July 28, 2013 - August 1, 2013 DA - 2013 KW - Engineering Solution mining Technology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2013 SP - 33-40 ST - Innovation through 'Meta-Engineering' - Mining - Exploring - Converging - Implementing process T3 - 2013 Proceedings of PICMET 2013: Technology Management in the IT-Driven Services TI - Innovation through 'Meta-Engineering' - Mining - Exploring - Converging - Implementing process ID - 1641 ER - TY - JOUR AB - In the social sciences, non-utilization of knowledge is a major problem. Many publications stored in libraries or available on the Internet should be used more than they are now. Conventional approaches like providing abstracts and lists of keywords have proven to be insufficient. For more than thirty years already, meta-analysis is available for the accumulation and dissemination of scientific knowledge. In the social sciences, meta-analysis has been used on a limited scale only, mainly because there still remains a gap between the knowledge available and its application in policymaking. Recently, value transfer has been introduced as an additional method to bridge the gap between available knowledge and the demands for knowledge in new problem areas. Not only in the social sciences but also in the information sciences non-utilization of information is a major problem. It is the mission of tech mining to contribute to a mitigation of this non-utilization. In this article, we will show how tech mining could profit from innovations in meta-analysis and social impact assessment. Special attention will be paid to research on technology generations, research on social change in cohesive social systems showing solidarity at work, and tech mining in support of the Lisbon Strategy of the European Commission. 2006 Elsevier Inc. All rights reserved. AU - Becker, Henk A. AU - Sanders, Karin DA - 2006 DO - 10.1016/j.techfore.2006.01.008 IS - 8 J2 - Technological Forecasting and Social Change KW - data mining Data warehouses Information Dissemination Metadata Social sciences L1 - internal-pdf://1590079444/Becker-2006-Innovations in meta-analysis and s.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2006 SN - 00401625 SP - 966-980 ST - Innovations in meta-analysis and social impact analysis relevant for tech mining T2 - Tech Mining: Exploiting Science and Technology Information Resources TI - Innovations in meta-analysis and social impact analysis relevant for tech mining UR - http://dx.doi.org/10.1016/j.techfore.2006.01.008 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0040162506001223/1-s2.0-S0040162506001223-main.pdf?_tid=89fc8254-832d-11e6-9011-00000aab0f26&acdnat=1474814409_f07974e2a400ae4cb04629a79484aa86 VL - 73 ID - 1784 ER - TY - JOUR AB - We aim to provide an innovative, comprehensive way of mapping the profusion of stem cell-based clinical trials registered at ClinicalTrials.gov to explore the diversity of the fields of application and the temporal complexity of the domain. We used a chord diagram and phylogenetic-like tree visualizations to assist in data mining and knowledge discovery. The search strategy used the following terms: "stromal OR stem OR mesenchymal OR progenitor." The Medical Subject Headings (MeSH) thesaurus was used to more finely classify diseases treated by stem cells, from large fields of application to specific diseases. Of the 5,788 trials screened, 939 were included, 51.1% of which were related to mesenchymal stem cells (MSCs). No real specificity emerged as to the therapeutic uses of the different types of stem cells. More than half the MSC studies concerned allogeneic MSCs and received more support from industry than autologous MSC studies (p < .001). Over time, the uses of cultured cells have increased greatly, particularly since 2009. Cells derived from adipose tissue are also increasingly used in trials compared with bone marrow cells. The use of adipose-derived stromal cells was predominantly autologous (p < .001), restricted to European countries (p < .01), and supported by industry (p = .02) compared with other MSCs. Details about MeSH keywords are available at http://multireview.perso.sfr.fr/. In conclusion, mapping may reveal a lack of global strategy despite the regulations and the related costs associated with good manufacturing practices. A systematic approach to preclinical data, intended to objectively and robustly reveal the most appropriate fields with the most efficient cells, is needed. Repeated exchanges between the bench and the bedside are necessary. AU - Monsarrat, Paul AU - Vergnes, Jean-Noel AU - Planat-Benard, Valerie AU - Ravaud, Philippe AU - Kemoun, Philippe AU - Sensebe, Luc AU - Casteilla, Louis DA - 2016/06// DO - 10.5966/sctm.2015-0329 IS - 6 PY - 2016 SN - 2157-6564 SP - 826-835 ST - An Innovative, Comprehensive Mapping and Multiscale Analysis of Registered Trials for Stem Cell-Based Regenerative Medicine T2 - Stem Cells Translational Medicine TI - An Innovative, Comprehensive Mapping and Multiscale Analysis of Registered Trials for Stem Cell-Based Regenerative Medicine VL - 5 ID - 2025 ER - TY - JOUR AU - Nguyên, Xuân-Lan AU - Chaskalovic, Joël AU - Rakotonanahary, Dominique AU - Fleury, Bernard DA - 2010 DP - Google Scholar IS - 8 PY - 2010 SP - 777-784 ST - Insomnia symptoms and CPAP compliance in OSAS patients T2 - Sleep medicine TI - Insomnia symptoms and CPAP compliance in OSAS patients: A descriptive study using Data Mining methods UR - http://www.sciencedirect.com/science/article/pii/S1389945710002169 https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.sleep-journal.com%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLGliB%252BRW%252F74SA%253D%253D%26MAID%3DOkLs0xBQURD%252B%252BtWOY76KdA%253D%253D%26JSESSIONID%3DaaaZJK5fQKdrKh2ZIKwDv%26ORIGIN%3D659786630%26RD%3DRD&acw=&utt= VL - 11 Y2 - 2016/09/24/16:07:56 ID - 2441 ER - TY - JOUR AB - To determine the onset and duration of contraflow evacuation, a multi-objective optimization (MOO) model is proposed to explicitly consider both the total system evacuation time and the operation cost. A solution algorithm that enhances the popular evolutionary algorithm NSGA-II is proposed to solve the model. The algorithm incorporates preliminary results as prior information and includes a meta-model as an alternative to evaluation by simulation. Numerical analysis of a case study suggests that the proposed formulation and solution algorithm are valid, and the enhanced NSGA-II outperforms the original algorithm in both convergence to the true Pareto-optimal set and solution diversity. AU - Li, Pei-heng AU - Lou, Ying-yan DA - 2015/06// DO - 10.1007/s11771-015-2766-5 IS - 6 J2 - Journal of Central South University. Science & Technology of Mining and Metallurgy KW - Genetic algorithms Integer programming numerical analysis Pareto optimisation transportation PY - 2015 SN - 2095-2899 SP - 2399-405 ST - An integer multi-objective optimization model and an enhanced non-dominated sorting genetic algorithm for contraflow scheduling problem T2 - Journal of Central South University. Science & Technology of Mining and Metallurgy TI - An integer multi-objective optimization model and an enhanced non-dominated sorting genetic algorithm for contraflow scheduling problem UR - http://dx.doi.org/10.1007/s11771-015-2766-5 http://link.springer.com/article/10.1007%2Fs11771-015-2766-5 VL - 22 ID - 729 ER - TY - JOUR AB - Feature selection methods are used in machine learning and data analysis to select a subset of features that may be successfully used in the construction of a model for the data. These methods are applied under the assumption that often many of the available features are redundant for the purpose of the analysis. In this paper, we focus on a particular method for feature selection in supervised learning problems, based on a linear programming model with integer variables. For the solution of the optimization problem associated with this approach, we propose a novel robust metaheuristics algorithm that relies on a Greedy Randomized Adaptive Search Procedure, extended with the adoption of short memory and a local search strategy. The performances of our heuristic algorithm are successfully compared with those of well-established feature selection methods, both on simulated and real data from biological applications. The obtained results suggest that our method is particularly suited for problems with a very large number of binary or categorical features. AU - Bertolazzi, P. AU - Felici, G. AU - Festa, P. AU - Fiscon, G. AU - Weitschek, E. DA - 2016 DO - 10.1016/j.ejor.2015.09.051 IS - 2 J2 - European Journal of Operational Research KW - Algorithms artificial intelligence bioinformatics data mining feature extraction Heuristic algorithms Heuristic methods Integer programming Learning systems Linear programming Optimization L1 - internal-pdf://1953443376/Bertolazzi-2016-Integer programming models for.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 03772217 SP - 389-399 ST - Integer programming models for feature selection: New extensions and a randomized solution algorithm T2 - European Journal of Operational Research TI - Integer programming models for feature selection: New extensions and a randomized solution algorithm UR - http://dx.doi.org/10.1016/j.ejor.2015.09.051 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0377221715008930/1-s2.0-S0377221715008930-main.pdf?_tid=f365ec30-832d-11e6-9d1a-00000aab0f02&acdnat=1474814586_b467ab80fbb2b086493975db1ab102a2 VL - 250 ID - 862 ER - TY - BOOK AB - We present an architecture for the integration of shallow and deep NLP components which is aimed at flexible combination of different language technologies for a range of practical current and future applications. In particular, we describe the integration of a high-level HPSG parsing system with different high-performance shallow components, ranging from named entity recognition to chunk parsing and shallow clause recognition. The NLP components enrich a representation of natural language text with layers of new XML meta-information using a single shared data structure, called the text chart. We describe details of the integration methods, and show how information extraction and language checking applications for realworld German text benefit from a deep grammatical analysis. AU - Crysmann, B. AU - Frank, A. AU - Kiefer, B. AU - Muller, S. AU - Neumann, G. AU - Piskorski, J. AU - Schafer, U. AU - Siegel, M. AU - Uszkoreit, H. AU - Xu, F. Y. AU - Becker, M. AU - Krieger, H. U. DA - 2002 PY - 2002 SN - 1-55860-883-4 ST - An integrated architecture for shallow and deep processing TI - An integrated architecture for shallow and deep processing ID - 2235 ER - TY - CONF AB - Data Clustering platform is used to identify hidden homogeneous clusters of objects to analyze heterogeneous data sets based upon the attribute values in the domain of Information Retrieval, Text Mining, Web Analysis, Computational Biology and Others. In this work, a hybrid clustering algorithm for K-Means called Optimized K-Means with firefly and canopies, has been proposed by integration of two meta-heuristic algorithms: Firefly algorithm and Canopy pre-clustering algorithm. The result model has been applied for classification of breast cancer data. Habermans survival dataset from UCI machine learning repository is used as the benchmark dataset for evaluating the performance of the proposed integrated clustering framework. The experimental result shows that the proposed optimized KMeans with firefly and canopies model outperforms traditional K-Means algorithm in terms of classification accuracy and therefore can be used for better breast cancer diagnosis. Springer India 2015. AU - Nayak, S. AU - Panda, C. AU - Xalxo, Z. AU - Behera, H. S. C3 - 1st International Conference on Computational Intelligence in Data Mining, ICCIDM 2014, December 20, 2014 - December 21, 2014 DA - 2015 DO - 10.1007/978-81-322-2208-8_31 KW - artificial intelligence Benchmarking bioinformatics Bioluminescence Classification (of information) Cluster Analysis Clustering algorithms data mining Diagnosis Diseases Heuristic algorithms Learning systems Optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Science and Business Media Deutschland GmbH PY - 2015 SN - 21903018 SP - 333-343 ST - An integrated clustering framework using optimized K-means with firefly and canopies T3 - Smart Innovation, Systems and Technologies TI - An integrated clustering framework using optimized K-means with firefly and canopies UR - http://dx.doi.org/10.1007/978-81-322-2208-8_31 VL - 32 ID - 1234 ER - TY - CONF AB - Integrated data analysis (IDA) of fusion diagnostics is the combination of heterogeneous diagnostics to obtain validated physical results. Benefits from the integrated approach result from a systematic use of interdependencies; in that sense IDA optimizes the extraction of information from sets of different data. For that purpose IDA requires a systematic and formalized error analysis of all (statistical and systematic) uncertainties involved in each diagnostic. Bayesian probability theory allows for a systematic combination of all information entering the diagnostic model by considering all uncertainties of the measured data, the calibration measurements, and the physical model. Prior physics knowledge on model parameters can be included. Handling of systematic errors is provided. A central goal of the integration of redundant or complementary diagnostics is to provide information to resolve inconsistencies by exploiting interdependencies. A comparable analysis of sets of diagnostics (meta-diagnostics) is performed by combining statistical and systematical uncertainties with model parameters and model uncertainties. Diagnostics improvement and experimental optimization and design of meta-diagnostics will be discussed. 2004 American Institute of Physic. AU - Fischer, R. AU - Dinklage, A. DA - 2004 DO - 10.1063/1.1787607 KW - Carrier concentration Data reduction Error analysis Graph theory Information analysis Interferometry Metadata Optimization Probability distributions Statistical methods N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Institute of Physics Inc. PY - 2004 SN - 00346748 SP - 4237-4239 ST - Integrated data analysis of fusion diagnostics by means of the Bayesian probability theory T3 - Review of Scientific Instruments TI - Integrated data analysis of fusion diagnostics by means of the Bayesian probability theory UR - http://dx.doi.org/10.1063/1.1787607 http://scitation.aip.org.ezproxy.lib.vt.edu/content/aip/journal/rsi/75/10/10.1063/1.1787607 VL - 75 ID - 1091 ER - TY - CONF AB - The process of data mining includes many steps, starting with the choice and preparation of data sources and ending with the presentation of the data mining results. In addition, it is generally accepted that the data mining is not a "one shot" process, but rather the result is obtained through iterative refinement steps of algorithm choice, parameters settings and intermediate results presentation. An effective architecture for a data mining tool should therefore allow easy integration of three components: acquisition of data sources, data mining algorithms and results presentation. In this paper we present the architecture of a data mining tool which is under development in the framework of the project D2I (Data to Information), supported by the Italian MIUR (Ministry of Instruction, University and Research). The architecture is based on the concept of "metadata repository": it is a specification of the data exchanged by the various modules which guarantees flexibility and extensibility: new algorithm and presentation method can be added, provided that the metadata specification is available. As a guideline and a testbed for the architecture, we present the specification of some data mining methods and we sketch how their results can be presented. AU - Angiulli, F. AU - Catarci, T. AU - Ciaccia, P. AU - Ianni, G. AU - Kimani, S. AU - Lodi, S. AU - Patella, M. AU - Santucci, G. AU - Sartori, C. C3 - Third International Conference on Data Mining. Data Mining III, 25-27 Sept. 2002 DA - 2002 KW - data analysis data mining meta data software architecture User interfaces very large databases PB - WIT Press PY - 2002 SP - 907-16 ST - An integrated data mining and data presentation tool T3 - Third International Conference on Data Mining. Data Mining III TI - An integrated data mining and data presentation tool ID - 1866 ER - TY - CONF AB - In text mining, the feature selection process can potentially improve classification accuracy by reducing the high-dimensional feature space to a low-dimensional feature space resulting in an optimal subset of available features. In this paper, a hybrid method and two meta-heuristic algorithms are employed to find an optimal feature subset. The feature selection task is performed in two steps: first, different feature subsets (called local-solutions) are obtained using a hybrid filter and wrapper approaches to reduce high-dimensional feature space; second, local-solutions are integrated using two meta-heuristic algorithms (namely, the harmony search algorithm and the genetic algorithm) in order to find an optimal feature subset. The results of a wide range of comparative experiments on three widely-used datasets in sentiment analysis show that the proposed method for feature selection outperforms other baseline methods in terms of accuracy. Springer-Verlag Berlin Heidelberg 2016. AU - Yousefpour, Alireza AU - Ibrahim, Roliana AU - Hamed, Haza Nuzly Abdul AU - Yokoi, Takeru C3 - 8th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2016, March 14, 2016 - March 16, 2016 DA - 2016 DO - 10.1007/978-3-662-49381-6_13 KW - Algorithms Classification (of information) Database systems data mining feature extraction Filtration Genetic algorithms Heuristic algorithms Heuristic methods Natural language processing systems Optimization Set theory Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2016 SN - 03029743 SP - 129-140 ST - Integrated feature selection methods using metaheuristic algorithms for sentiment analysis T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Integrated feature selection methods using metaheuristic algorithms for sentiment analysis UR - http://dx.doi.org/10.1007/978-3-662-49381-6_13 VL - 9621 ID - 1517 ER - TY - CHAP A2 - Arabnia, H. R. AB - A methodology for elucidation of structural, functional, and mechanistic knowledge on promiscuous proteins is proposed that constitutes a workflow of integrated bioinformatics analysis. Sequence alignments with closely related homologues can reveal conserved regions which are functionally important. Scanning protein motif databases, along with secondary and surface accessibility predictions integrated with post-translational modification sites (PTMs) prediction reveal functional and protein-binding motifs. Integrating this information about the protein with the GO, SCOP, and CATH annotations of the templates can help to formulate a 3D model with reasonable accuracy even in the case of distant sequence homology. A novel integrative model of the non-structural protein 5A of Hepatitis C virus: a hub promiscuous protein with roles in virus replication and host interactions is proposed. The 3D structure for domain II was predicted based on, the Homo sapiens Replication factor-A protein-1 (RPA1), as a template using consensus meta-servers results. Domain III is an intrinsically unstructured domain with a fold from the retroviral matrix protein, which conducts diverse protein interactions and is involved in viral replication and protein interactions. It also has a single-stranded DNA-binding protein motif (SSDP) signature for pyrimidine binding during viral replication. Two protein-binding motifs with high sequence conservation and disordered regions are proposed; the first corresponds to an Interleukin-8B receptor signature (IL-8R-B), while the second has a lymphotoxin beta receptor (LT beta R) high local similarity. A mechanism is proposed to their contribution to NS5A Interferon signaling pathway interception. Lastly, the overlapping between LT beta R and SSDP is considered as a sign for NS5A date hubs. AU - El Hefnawi, Mahmoud M. AU - Youssif, Aliaa A. AU - Ghalwash, Atef Z. AU - El Behaidy, Wessam H. PY - 2010 SN - 978-1-4419-5912-6 SP - 299-305 ST - An Integrated Methodology for Mining Promiscuous Proteins: A Case Study of an Integrative Bioinformatics Approach for Hepatitis C Virus Non-structural 5a Protein T2 - Advances in Computational Biology TI - An Integrated Methodology for Mining Promiscuous Proteins: A Case Study of an Integrative Bioinformatics Approach for Hepatitis C Virus Non-structural 5a Protein VL - 680 ID - 2225 ER - TY - JOUR AB - Diseases caused by fungal pathogens account for approximately 50% of all soybean disease losses around the world. Conflicting results of fungal disease resistance QTLs from different populations often occurred. The objectives of this study were to: (i) evaluate evidence for reported fungal disease resistance QTLs associations in soybean and (ii) extract relatively reliable and useful information from the "real" QTLs and mine putative genes in soybean. An integrated map of fungal disease resistance QTLs in soybean was established with soymap 2 published in 2004 as a reference map. QTLs of fungal disease resistance developed from each of separate populations in recent 10 years were integrated into a combinative map for gene cloning and marker assisted selection in soybean. 107 QTLs from different maps were integrated and projected to the reference map with the software BioMercator 2.1. A method of meta-analysis was used to narrow down the confidence interval, and 23 "real" QTLs and their corresponding markers were obtained from 12 linkage groups (LG), respectively. Two published R genes were found in these "real" QTLs intervals. Sequences in the "real" QTLs intervals were predicted by GENSCAN, and these predicted genes were annotated in Goblet. 228 resistance gene analogs (RGAs) in 12 different terms were mined. The results will lay the foundation for a bioinformatics platform combining abundant QTLs, and offer the basis for marker assisted selection and gene cloning in soybean. AU - Jia-lin, Wang AU - Chun-yan, Liu AU - Jing, Wang AU - Zhao-ming, Qi AU - Hui, Li AU - Guo-hua, Hu AU - Qing-shan, Chen DA - 2010/02// DO - 10.1016/S1671-2927(09)60087-0 IS - 2 PY - 2010 SN - 1671-2927 SP - 223-232 ST - An Integrated QTL Map of Fungal Disease Resistance in Soybean (Glycine max L. Merr): A Method of Meta-Analysis for Mining R Genes T2 - Agricultural Sciences in China TI - An Integrated QTL Map of Fungal Disease Resistance in Soybean (Glycine max L. Merr): A Method of Meta-Analysis for Mining R Genes VL - 9 ID - 1899 ER - TY - JOUR AB - Soybean is a major cash crop in the world, and its oil content was one of the very important traits. Therefore, the study of gene mapping for oil content in soybean is very important for breeding application. At present, at least 130 QTL loci for soybean oil content have been published; however, the mapping results of oil content were dispersed and a coalescent public map should be established to integrate the published QTLs, and to more efficiently mine genes based on the meta-analysis method of the bioinformatics tools. This study was to construct an integrated map of QTLs for soybean oil content and accelerate the application of bioinformation resource related to oil content improvement in the practice of soybean breeding. We collected information of 130 QTLs reported over the past 20 yr for soybean oil content and used the Software BioMercator 2.1 to project QTLs from their own maps onto a reference map, which was an early-integrated map constructed by Song (2004) for oil-content quantitative trait loci (QTLs) in soybean. Gene mining was performed based on the meta-analysis by running the local ver. GENSCAN and InterProScan. The confidence interval of QTLs was efficaciously narrowed using the meta-analysis method, and 25 consensus QTLs were mapped on the reference map. Using a local version of GENSCAN, 12 805 sequences in the consensus QTL intervals were predicted. With BLAST, these predicted sequences were aligned to gene sequences from the International Protein Index database using InterProScan locally. Thirteen predicted genes were in the class of the geme ontology (GO) accession (0006631), which were involved in the fatty acid metabolic process. These genes were analyzed using BLAST at the NCBI website to examine whether they were related to oil content. Six genes were found in the oil-synthesis pathway. Twenty-five consensus QTLs and six genes were found in the oil-synthesis pathway. These results would lay the foundation for marker-assisted selection and mapping QTL precisely, and these genes will facilitate the researches on the gene mining of oil synthesis and molecular breeding in soybean. AU - Zhao-ming, Qi AU - Xue, Han AU - Ya-nan, Sun AU - Qiong, Wu AU - Da-peng, Shan AU - Xiang-yu, Du AU - Chun-yan, Liu AU - Hong-wei, Jiang AU - Guo-hua, Hu AU - Qing-shan, Chen DA - 2011/11/20/ DO - 10.1016/S1671-2927(11)60166-1 IS - 11 PY - 2011 SN - 1671-2927 SP - 1681-1692 ST - An Integrated Quantitative Trait Locus Map of Oil Content in Soybean, Glycine max (L.) Merr., Generated Using a Meta-Analysis Method for Mining Genes T2 - Agricultural Sciences in China TI - An Integrated Quantitative Trait Locus Map of Oil Content in Soybean, Glycine max (L.) Merr., Generated Using a Meta-Analysis Method for Mining Genes VL - 10 ID - 1886 ER - TY - JOUR AB - Integrated summaries of safety and efficacy have long been used for regulatory purposes in clinical drug development, where the main objective is to summarize the results of a drug development program as outlined in the International Conference on Harmonization (ICH) E9 guideline. Curiously, the use of meta-analytical techniques seems to be restricted to the submission process and little use of cumulative data is made for life cycle management of drugs. In this paper we will explore options for a comprehensive approach to support the development, registration, and life cycle management of pharmaceuticals for human use. AU - Kubler, J. AU - Weihrauch, T. R. DA - 2002/03//JAN IS - 1 PY - 2002 SN - 0092-8615 SP - 127-133 ST - Integrated summaries and meta-analyses in clinical drug development T2 - Drug Information Journal TI - Integrated summaries and meta-analyses in clinical drug development VL - 36 ID - 1883 ER - TY - JOUR AB - Mitochondrial diseases are heterogeneous, multi-systemic disorders for which mechanistic understanding is limited. To investigate common downstream effects of primary respiratory chain dysfunction on global gene expression and pathway regulation, we reanalyzed transcriptome datasets from all publicly available studies of respiratory chain dysfunction resulting from genetic disorders, acute pathophysiologic processes, or environmental toxins. A general overview is provided of the bioinformatic processing of transcriptome data to uncover biological insights into in vivo and in vitro adaptations to mitochondrial dysfunction, with specific examples discussed from a variety of independent cell, animal, and human tissue studies. To facilitate future community efforts to cohesively mine these data, all reanalyzed transcriptome datasets were deposited into a publicly accessible central web archive. Our own integrated meta-analysis of these data identified several commonly dysregulated genes across diverse mitochondrial disease etiologies, models, and tissue types. Overall, transcriptome analyses provide a useful means to survey cellular adaptation to mitochondrial diseases. (C) 2014 Elsevier Ltd. All rights reserved. AU - Zhang, Zhe AU - Falk, Marni J. DA - 2014/05// DO - 10.1016/j.bioce1.2014.02.012 PY - 2014 SN - 1357-2725 SP - 106-111 ST - Integrated transcriptome analysis across mitochondrial disease etiologies and tissues improves understanding of common cellular adaptations to respiratory chain dysfunction T2 - International Journal of Biochemistry & Cell Biology TI - Integrated transcriptome analysis across mitochondrial disease etiologies and tissues improves understanding of common cellular adaptations to respiratory chain dysfunction VL - 50 ID - 1957 ER - TY - JOUR AB - In this article, we describe a workflow and tool that allows a flexible formation of hypotheses about text features and their combinations, which are significantly connected in time to quantitative phenomena observed in stock data. To support such an analysis, we combine the analysis steps of frequent quantitative and text-oriented data using an existing a priori method. First, based on heuristics, we extract interesting intervals and patterns in large time series data. The visual analysis supports the analyst in exploring parameter combinations and their results. The identified time series patterns are then input for the second analysis step, in which all identified intervals of interest are analyzed for frequent patterns co-occurring with financial news. An a priori method supports the discovery of such sequential temporal patterns. Then, various text features such as the degree of sentence nesting, noun phrase complexity, and the vocabulary richness, are extracted from the news items to obtain meta-patterns. Meta-patterns are defined by a specific combination of text features which significantly differ from the text features of the remaining news data. Our approach combines a portfolio of visualization and analysis techniques, including time, cluster, and sequence visualization and analysis functionality. We provide a case study and an evaluation on financial data where we identify important future work. The workflow could be generalized to other application domains such as data analysis of smart grids, cyber physical systems, or the security of critical infrastructure, where the data consist of a combination of quantitative and textual time series data. The Author(s) 2015. AU - Wanner, Franz AU - Jentner, Wolfgang AU - Schreck, Tobias AU - Stoffel, Andreas AU - Sharalieva, Lyubka AU - Keim, Daniel A. DA - 2016 DO - 10.1177/1473871615576925 IS - 1 J2 - Information Visualization KW - data handling Embedded systems Finance financial data processing Information analysis Text processing Time series analysis visualization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 14738716 SP - 75-90 ST - Integrated visual analysis of patterns in time series and text data - Workflow and application to financial data analysis T2 - Information Visualization TI - Integrated visual analysis of patterns in time series and text data - Workflow and application to financial data analysis UR - http://dx.doi.org/10.1177/1473871615576925 VL - 15 ID - 1080 ER - TY - JOUR AB - The electronic health record (EHR) contains a diverse set of clinical observations that are captured as part of routine care, but the incomplete, inconsistent, and sometimes incorrect nature of clinical data poses significant impediments for its secondary use in retrospective studies or comparative effectiveness research. In this work, we describe an ontology-driven approach for extracting and analyzing data from the patient record in a longitudinal and continuous manner. We demonstrate how the ontology helps enforce consistent data representation, integrates phenotypes generated through analyses of available clinical data sources, and facilitates subsequent studies to identify clinical predictors for an outcome of interest. Development and evaluation of our approach are described in the context of studying factors that influence intracranial aneurysm (ICA) growth and rupture. We report our experiences in capturing information on 78 individuals with a total of 120 aneurysms. Two example applications related to assessing the relationship between aneurysm size, growth, gene expression modules, and rupture are described. Our work highlights the challenges with respect to data quality, workflow, and analysis of data and its implications toward a learning health system paradigm. AU - Hsu, William AU - Gonzalez, Nestor R. AU - Chien, Aichi AU - Pablo Villablanca, J. AU - Pajukanta, Paivi AU - Vinuela, Fernando AU - Bui, Alex A. T. DA - 2015/06//undefined DO - 10.1016/j.jbi.2015.03.008 J2 - J Biomed Inform KW - *Databases, Factual *Vocabulary, Controlled Aneurysm, Ruptured/*classification Biomedical ontology Biomedical Research/methods/organization & administration Data Accuracy database Database management systems Data extraction Data Mining/*methods Electronic Health Records/*organization & administration Humans Image analysis Intracranial aneurysm Intracranial Aneurysm/*classification Meaningful Use natural language processing Retrospective study Systems Integration User-Computer Interface L1 - internal-pdf://3632995452/Hsu-2015-An integrated, ontology-driven approa.pdf LA - eng PY - 2015 SN - 1532-0480 1532-0464 SP - 132-142 ST - An integrated, ontology-driven approach to constructing observational databases for research T2 - Journal of biomedical informatics TI - An integrated, ontology-driven approach to constructing observational databases for research UR - http://ac.els-cdn.com/S1532046415000519/1-s2.0-S1532046415000519-main.pdf?_tid=d0fdd880-833a-11e6-9404-00000aacb35d&acdnat=1474820112_0e54fce20f661d413d717160ea59530c VL - 55 ID - 299 ER - TY - CONF AB - Issue tracking systems such as Bugzilla are tools to facilitate collaboration between software maintenance professionals. Popular issue tracking systems consists of discussion forums to facilitate bug reporting and comment posting. We observe that several comments posted in issue tracking system contains link to external websites such as YouTube (video sharing website), Twitter (micro-blogging website), Stack overflow (a community-based question and answering website for programmers), Wikipedia and focused discussions forums. Stack overflow is a popular community-based question and answering website for programmers and is widely used by software engineers as it contains answers to millions of questions (an extensive knowledge resource) posted by programmers on diverse topics. We conduct a series of experiments on open-source Google Chromium and Android issue tracker data (publicly available real-world dataset) to understand the role and impact of Stack overflow in issue resolution. Our experimental results show evidences of several references to Stack overflow in threaded discussions and demonstrate correlation between a lower mean time to repair (in one dataset) with presence of Stack overflow links. We also observe that the average number of comments posted in response to bug reports are less when Stack overflow links are presented in contrast to bug reports not containing Stack overflow references. We conduct experiments based on textual similarly analysis (content-based linguistic features) and contextual data analysis (exploited metadata such as tags associated to a Stack overflow question) to recommend Stack overflow questions for an incoming bug report. We perform empirical analysis to measure the effectiveness of the proposed method on a dataset containing ground-truth and present our insights. We present the result of a survey (of Google Chromium Developers) that we conducted to understand practitioner's perspective and experience. AU - Correa, D. AU - Sureka, A. C3 - 2013 22nd Australian Software Engineering Conference (ASWEC), 4-7 June 2013 DA - 2013 DO - 10.1109/ASWEC.2013.20 KW - data analysis data mining meta data Program debugging public domain software question answering (information retrieval) Social networking (online) software maintenance software metrics text analysis User interfaces PB - IEEE Computer Society PY - 2013 SP - 88-96 ST - Integrating Issue Tracking Systems with Community-Based Question and Answering Websites T3 - Proceedings of the 2013 22nd Australian Software Engineering Conference (ASWEC) TI - Integrating Issue Tracking Systems with Community-Based Question and Answering Websites UR - http://dx.doi.org/10.1109/ASWEC.2013.20 ID - 1345 ER - TY - JOUR AB - Background: Somatic Hypermutation (SHM) refers to the introduction of mutations within rearranged V(D)J genes, a process that increases the diversity of Immunoglobulins (IGs). The analysis of SHM has offered critical insight into the physiology and pathology of B cells, leading to strong prognostication markers for clinical outcome in chronic lymphocytic leukaemia (CLL), the most frequent adult B-cell malignancy. In this paper we present a methodology for integrating multiple immunogenetic and clinocobiological data sources in order to extract features and create high quality datasets for SHM analysis in IG receptors of CLL patients. This dataset is used as the basis for a higher level integration procedure, inspired form social choice theory. This is applied in the Towards Analysis, our attempt to investigate the potential ontogenetic transformation of genes belonging to specific stereotyped CLL subsets towards other genes or gene families, through SHM. Results: The data integration process, followed by feature extraction, resulted in the generation of a dataset containing information about mutations occurring through SHM. The Towards analysis performed on the integrated dataset applying voting techniques, revealed the distinct behaviour of subset #201 compared to other subsets, as regards SHM related movements among gene clans, both in allele-conserved and non-conserved gene areas. With respect to movement between genes, a high percentage movement towards pseudo genes was found in all CLL subsets. Conclusions: This data integration and feature extraction process can set the basis for exploratory analysis or a fully automated computational data mining approach on many as yet unanswered, clinically relevant biological questions. AU - Kavakiotis, Ioannis AU - Xochelli, Aliki AU - Agathangelidis, Andreas AU - Tsoumakas, Grigorios AU - Maglaveras, Nicos AU - Stamatopoulos, Kostas AU - Hadzidimitriou, Anastasia AU - Vlahavas, Ioannis AU - Chouvarda, Ioanna DA - 2016/06/06/ DO - 10.1186/s12859-016-1044-3 L1 - internal-pdf://3391937244/Kavakiotis-2016-Integrating multiple immunogen.pdf PY - 2016 SN - 1471-2105 SP - 173 ST - Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia T2 - Bmc Bioinformatics TI - Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4905615/pdf/12859_2016_Article_1044.pdf VL - 17 ID - 2092 ER - TY - CONF AB - This paper proposes a new feature-selection strategy by integrating the Rough Set Theory (RST) and Particle Swarm Optimisation (PSO) algorithms to generate a set of discriminatory features for the classification problem. The proposed method is seen as a marriage between filter and wrapper approaches in which the RST is used to pre-reduce the feature set before optimisation by PSO, a meta-heuristic approach using Support Vector Machines (SVMs). Experimental results, based on the number of reducts and classification accuracy, were compared for the grid search method using data from the Machine Learning Repository. For most datasets, the proposed method statistically significantly improves the obtained classification accuracy and reduces the number of feature subsets. 2010 IEEE. AU - Abdul-Rahman, Shuzlina AU - Mohamed-Hussein, Zeti-Azura AU - Bakar, Azuraliza Abu C3 - 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, November 29, 2010 - December 1, 2010 DA - 2010 DO - 10.1109/ISDA.2010.5687056 KW - Classification (of information) data mining feature extraction Filtration Heuristic methods Intelligent systems Particle swarm optimization (PSO) rough set theory Support Vector Machines Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2010 SP - 1009-1014 ST - Integrating Rough Set Theory and Particle Swarm Optimisation in feature selection T3 - Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 TI - Integrating Rough Set Theory and Particle Swarm Optimisation in feature selection UR - http://dx.doi.org/10.1109/ISDA.2010.5687056 ID - 1076 ER - TY - JOUR AB - A geospatial catalogue service provides a network-based meta-information repository and interface for advertising and discovering shared geospatial data and services. Descriptive information (i.e., metadata) for geospatial data and services is structured and organized in catalogue services. The approaches currently available for searching and using that information are often inadequate. Semantic Web technologies show promise for better discovery methods by exploiting the underlying semantics. Such development needs special attention from the Cyberinfrastructure perspective, so that the traditional focus on discovery of and access to geospatial data can be expanded to support the increased demand for processing of geospatial information and discovery of knowledge. Semantic descriptions for geospatial data, services, and geoprocessing service chains are structured, organized, and registered through extending elements in the ebXML Registry Information Model (ebRIM) of a geospatial catalogue service, which follows the interface specifications of the Open Geospatial Consortium (OGC) Catalogue Services for the Web (CSW). The process models for geoprocessing service chains, as a type of geospatial knowledge, are captured, registered, and discoverable. Semantics-enhanced discovery for geospatial data, services/ service chains, and process models is described. Semantic search middleware that can support virtual data product materialization is developed for the geospatial catalogue service. The creation of such a semantics-enhanced geospatial catalogue service is important in meeting the demands for geospatial information discovery and analysis in Cyberinfrastructure. AU - Peng, Yue AU - Jianya, Gong AU - Liping, Di AU - Lianlian, He AU - Yaxing, Wei DA - 2011/04// DO - 10.1007/s10707-009-0096-1 IS - 2 J2 - GeoInformatica KW - cataloguing data mining Geographic information systems information networks information retrieval meta data middleware Semantic Web Web services XML PY - 2011 SN - 1384-6175 SP - 273-303 ST - Integrating semantic web technologies and geospatial catalog services for geospatial information discovery and processing in cyberinfrastructure T2 - GeoInformatica TI - Integrating semantic web technologies and geospatial catalog services for geospatial information discovery and processing in cyberinfrastructure UR - http://dx.doi.org/10.1007/s10707-009-0096-1 VL - 15 ID - 1269 ER - TY - JOUR AB - In this paper we focus on unsupervised sentiment analysis in Spanish. The lack of resources for languages other than English, as for example Spanish, adds more complexity to the task. However, we take advantage of some good already existing lexical resources. We have carried out several experiments using different unsupervised approaches in order to compare the different methodologies for solving the problem of the Spanish polarity classification in a corpus of movie reviews. Among all these approaches, perhaps the newest one integrates SentiWordNet with the Multilingual Central Repository to tackle polarity detection directly over the Spanish corpus. However, the results obtained were not as promising as we expected, and so we carried out another group of experiments combining all the methods using meta-classifiers. The results obtained with stacking outperformed the individual experiments and encourage us to continue in this way. The Author(s) 2014. AU - Martinez-Camara, Eugenio AU - Martin-Valdivia, M. Teresa AU - Molina-Gonzalez, M. Dolores AU - Perea-Ortega, Jose M. DA - 2014 DO - 10.1177/0165551514535710 IS - 4 J2 - Journal of Information Science KW - data mining Experiments N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 01655515 SP - 538-554 ST - Integrating Spanish lexical resources by meta-classifiers for polarity classification T2 - Journal of Information Science TI - Integrating Spanish lexical resources by meta-classifiers for polarity classification UR - http://dx.doi.org/10.1177/0165551514535710 VL - 40 ID - 1606 ER - TY - CONF AB - Meta paths are good mechanisms to improve the quality of graph analysis on heterogeneous information networks. This paper presents a meta path graph clustering framework, VEPathCluster, that combines meta path vertex-centric clustering with meta path edge-centric clustering for improving the clustering quality of heterogeneous networks. First, we propose an edge-centric path graph model to capture the meta-path dependencies between pairwise path edges. We model a heterogeneous network containing M types of meta paths as M vertex-centric path graphs and M edge-centric path graphs. Second, we propose a clustering-based multigraph model to capture the fine-grained clustering-based relationships between pairwise vertices and between pairwise path edges. We perform clustering analysis on both a unified vertex-centric path graph and each edge-centric path graph to generate vertex clustering and edge clusterings of the original heterogeneous network respectively. Third, a reinforcement algorithm is provided to tightly integrate vertex-centric clustering and edge-centric clustering by mutually enhancing each other. Finally, an iterative learning strategy is presented to dynamically refine both vertex-centric clustering and edge-centric clustering by continuously learning the contributions and adjusting the weights of different path graphs. 2015 ACM. AU - Zhou, Yang AU - Liu, Ling AU - Buttler, David C3 - 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2015, August 10, 2015 - August 13, 2015 DA - 2015 DO - 10.1145/2783258.2783328 KW - data mining Graph theory Heterogeneous networks Information services Iterative methods Quality Control N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2015 SP - 1563-1572 ST - Integrating vertex-centric clustering with edge-centric clustering for meta path graph analysis T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - Integrating vertex-centric clustering with edge-centric clustering for meta path graph analysis UR - http://dx.doi.org/10.1145/2783258.2783328 VL - 2015-August ID - 1768 ER - TY - CONF AB - We present a case study about the application of the inductive database approach to the analysis of Web logs. We consider rich XML Web logs - called conceptual logs - that are generated by Web applications designed with the WebML conceptual model and developed with the WebRatio CASE tool. Conceptual logs integrate the usual information about user requests with meta-data concerning the structure of the content and the hypertext of a Web application. We apply a data mining language (MINE RULE) to conceptual logs in order to identify different types of patterns, such as: recurrent navigation paths, most frequently visited page contents, and anomalies (e.g., intrusion attempts or harmful usages of resources). We show that the exploitation of the nuggets of information embedded in the logs and of the specialized mining constructs provided by the query languages enables the rapid customization of the mining procedures following to the Web developers' need. Given our on-held experience, we also suggest that the use of queries in advanced languages, as opposed to ad-hoc heuristics, eases the specification and the discovery of large spectrum of patterns. AU - Meo, R. AU - Lanzi, P. L. AU - Matera, M. AU - Esposito, R. C3 - Advances in Web Mining and Web Usage Analysis. 6th International Workshop on Knowledge Discovery on The Web, WebKDD 2004. Revised Selected Papers, 22-25 Aug. 2004 DA - 2004 KW - data mining meta data Query languages Web sites XML PB - Springer-Verlag PY - 2004 SP - 135-48 ST - Integrating Web conceptual modeling and Web usage mining T3 - Advances in Web Mining and Web Usage Analysis. 6th International Workshop on Knowledge Discovery on The Web, WebKDD 2004. Revised Selected Papers (Lecture Notes in Artificial Intelligence Vol. 3932) TI - Integrating Web conceptual modeling and Web usage mining ID - 1735 ER - TY - CONF AB - We present a case study about the application of the inductive database approach to the analysis of Web logs. We consider rich XML Web logs - called conceptual logs - that are generated by Web applications designed with the WebML conceptual model and developed with the WebRatio CASE tool. Conceptual logs integrate the usual information about user requests with meta-data concerning the structure of the content and the hypertext of a Web application. We apply a data mining language (MINE RULE) to conceptual logs in order to identify different types of patterns, such as: recurrent navigation paths, most frequently visited page contents, and anomalies (e.g., intrusion attempts or harmful usages of resources). We show that the exploitation of the nuggets of information embedded in the logs and of the specialized mining constructs provided by the query languages enables the rapid customization of the mining procedures following to the Web developers' need. Given our on-field experience, we also suggest that the use of queries in advanced languages, as opposed to ad-hoc heuristics, eases the specification and the discovery of large spectrum of patterns. Springer-Verlag Berlin Heidelberg 2006. AU - Meo, Rosa AU - Lanzi, Pier Luca AU - Matera, Maristella AU - Esposito, Roberto C3 - 6th International Workshop on Knowledge Discovery on the Web, WebKDD 2004, August 22, 2004 - August 25, 2004 DA - 2006 KW - data mining Embedded systems Heuristic methods information retrieval Metadata User interfaces World Wide Web XML N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2006 SN - 03029743 SP - 135-148 ST - Integrating Web conceptual modeling and Web usage mining T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Integrating Web conceptual modeling and Web usage mining VL - 3932 LNAI ID - 1494 ER - TY - JOUR AB - In conducting genome-wide association studies (GWAS), analytical approaches leveraging biological information may further understanding of the pathophysiology of clinical traits. To discover novel associations with estimated glomerular filtration rate (eGFR), a measure of kidney function, we developed a strategy for integrating prior biological knowledge into the existing GWAS data for eGFR from the CKDGen Consortium. Our strategy focuses on single nucleotide polymorphism (SNPs) in genes that are connected by functional evidence, determined by literature mining and gene ontology (GO) hierarchies, to genes near previously validated eGFR associations. It then requires association thresholds consistent with multiple testing, and finally evaluates novel candidates by independent replication. Among the samples of European ancestry, we identified a genome-wide significant SNP in FBXL20 (P = 5.6 x 10(-9)) in meta-analysis of all available data, and additional SNPs at the INHBC, LRP2, PLEKHA1, SLC3A2 and SLC7A6 genes meeting multiple-testing corrected significance for replication and overall P-values of 4.5 x 10(-4)-2.2 x 10(-7). Neither the novel PLEKHA1 nor FBXL20 associations, both further supported by association with eGFR among African Americans and with transcript abundance, would have been implicated by eGFR candidate gene approaches. LRP2, encoding the megalin receptor, was identified through connection with the previously known eGFR gene DAB2 and extends understanding of the megalin system in kidney function. These findings highlight integration of existing genome-wide association data with independent biological knowledge to uncover novel candidate eGFR associations, including candidates lacking known connections to kidney-specific pathways. The strategy may also be applicable to other clinical phenotypes, although more testing will be needed to assess its potential for discovery in general. AU - Chasman, Daniel I. AU - Fuchsberger, Christian AU - Pattaro, Cristian AU - Teumer, Alexander AU - Boger, Carsten A. AU - Endlich, Karlhans AU - Olden, Matthias AU - Chen, Ming-Huei AU - Tin, Adrienne AU - Taliun, Daniel AU - Li, Man AU - Gao, Xiaoyi AU - Gorski, Mathias AU - Yang, Qiong AU - Hundertmark, Claudia AU - Foster, Meredith C. AU - O'Seaghdha, Conall M. AU - Glazer, Nicole AU - Isaacs, Aaron AU - Liu, Ching-Ti AU - Smith, Albert V. AU - O'Connell, Jeffrey R. AU - Struchalin, Maksim AU - Tanaka, Toshiko AU - Li, Guo AU - Johnson, Andrew D. AU - Gierman, Hinco J. AU - Feitosa, Mary F. AU - Hwang, Shih-Jen AU - Atkinson, Elizabeth J. AU - Lohman, Kurt AU - Cornelis, Marilyn C. AU - Johansson, Asa AU - Tonjes, Anke AU - Dehghan, Abbas AU - Lambert, Jean-Charles AU - Holliday, Elizabeth G. AU - Sorice, Rossella AU - Kutalik, Zoltan AU - Lehtimaki, Terho AU - Esko, Tonu AU - Deshmukh, Harshal AU - Ulivi, Sheila AU - Chu, Audrey Y. AU - Murgia, Federico AU - Trompet, Stella AU - Imboden, Medea AU - Coassin, Stefan AU - Pistis, Giorgio AU - Harris, Tamara B. AU - Launer, Lenore J. AU - Aspelund, Thor AU - Eiriksdottir, Gudny AU - Mitchell, Braxton D. AU - Boerwinkle, Eric AU - Schmidt, Helena AU - Cavalieri, Margherita AU - Rao, Madhumathi AU - Hu, Frank AU - Demirkan, Ayse AU - Oostra, Ben A. AU - de Andrade, Mariza AU - Turner, Stephen T. AU - Ding, Jingzhong AU - Andrews, Jeanette S. AU - Freedman, Barry I. AU - Giulianini, Franco AU - Koenig, Wolfgang AU - Illig, Thomas AU - Meisinger, Christa AU - Gieger, Christian AU - Zgaga, Lina AU - Zemunik, Tatijana AU - Boban, Mladen AU - Minelli, Cosetta AU - Wheeler, Heather E. AU - Igl, Wilmar AU - Zaboli, Ghazal AU - Wild, Sarah H. AU - Wright, Alan F. AU - Campbell, Harry AU - Ellinghaus, David AU - Nothlings, Ute AU - Jacobs, Gunnar AU - Biffar, Reiner AU - Ernst, Florian AU - Homuth, Georg AU - Kroemer, Heyo K. AU - Nauck, Matthias AU - Stracke, Sylvia AU - Volker, Uwe AU - Volzke, Henry AU - Kovacs, Peter AU - Stumvoll, Michael AU - Magi, Reedik AU - Hofman, Albert AU - Uitterlinden, Andre G. AU - Rivadeneira, Fernando AU - Aulchenko, Yurii S. AU - Polasek, Ozren AU - Hastie, Nick AU - Vitart, Veronique AU - Helmer, Catherine AU - Wang, Jie Jin AU - Stengel, Benedicte AU - Ruggiero, Daniela AU - Bergmann, Sven AU - Kahonen, Mika AU - Viikari, Jorma AU - Nikopensius, Tiit AU - Province, Michael AU - Ketkar, Shamika AU - Colhoun, Helen AU - Doney, Alex AU - Robino, Antonietta AU - Kramer, Bernhard K. AU - Portas, Laura AU - Ford, Ian AU - Buckley, Brendan M. AU - Adam, Martin AU - Thun, Gian-Andri AU - Paulweber, Bernhard AU - Haun, Margot AU - Sala, Cinzia AU - Mitchell, Paul AU - Ciullo, Marina AU - Kim, Stuart K. AU - Vollenweider, Peter AU - Raitakari, Olli AU - Metspalu, Andres AU - Palmer, Colin AU - Gasparini, Paolo AU - Pirastu, Mario AU - Jukema, J. Wouter AU - Probst-Hensch, Nicole M. AU - Kronenberg, Florian AU - Toniolo, Daniela AU - Gudnason, Vilmundur AU - Shuldiner, Alan R. AU - Coresh, Josef AU - Schmidt, Reinhold AU - Ferrucci, Luigi AU - Siscovick, David S. AU - van Duijn, Cornelia M. AU - Borecki, Ingrid B. AU - Kardia, Sharon L. R. AU - Liu, Yongmei AU - Curhan, Gary C. AU - Rudan, Igor AU - Gyllensten, Ulf AU - Wilson, James F. AU - Franke, Andre AU - Pramstaller, Peter P. AU - Rettig, Rainer AU - Prokopenko, Inga AU - Witteman, Jacqueline AU - Hayward, Caroline AU - Ridker, Paul M. AU - Parsa, Afshin AU - Bochud, Murielle AU - Heid, Iris M. AU - Kao, W. H. Linda AU - Fox, Caroline S. AU - Kottgen, Anna DA - 2012/12/15/ DO - 10.1093/hmg/dds369 IS - 24 J2 - Hum Mol Genet KW - Amino Acid Transport Systems, Basic/genetics Antigens, CD98 Heavy Chain/genetics Genetic Predisposition to Disease/genetics Genome-Wide Association Study/*methods Glomerular Filtration Rate/genetics/physiology Humans Inhibin-beta Subunits/genetics Intracellular Signaling Peptides and Proteins/genetics Low Density Lipoprotein Receptor-Related Protein-2/genetics Membrane Proteins/genetics Polymorphism, Single Nucleotide/*genetics L1 - internal-pdf://1505193512/Chasman-2012-Integration of genome-wide associ.pdf LA - eng PY - 2012 SN - 1460-2083 0964-6906 SP - 5329-5343 ST - Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function T2 - Human molecular genetics TI - Integration of genome-wide association studies with biological knowledge identifies six novel genes related to kidney function UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3607468/pdf/dds369.pdf VL - 21 ID - 253 ER - TY - JOUR AB - OBJECTIVE: Extensive association analyses including genome-wide association studies (GWAS) and powerful metaanalysis studies have identified a long list of loci associated with rheumatoid arthritis (RA) in very large populations, but most of them established statistical associations of genetic markers and RA only at the DNA level, without supporting evidence of functional relevance. Our study serves as a trial to detect the functional mechanisms underlying associations for RA by searching publicly available datasets and results. METHODS: Based on publicly available datasets and results, we performed integrative analyses (gene relationships across implicated loci analysis, differential gene expression analysis, and functional annotation clustering analysis) and combined them with the expression quantitative trait locus (eQTL) results to dissect functional mechanisms underlying the associations for RA. RESULTS: By searching 2 GWAS, Integrator and PheGenI, we selected 98 RA association results (p < 10(-5)). Among these associations, we found that 8 single-nucleotide polymorphisms (SNP; rs1600249, rs2736340, rs3093023, rs3093024, rs4810485, rs615672, rs660895, and rs9272219) serve as cis-effect regulators of the corresponding eQTL genes (BLK and CD4 in non-HLA region; CCR6, HLA-DQA1, and HLA-DQB1 in HLA region) that also were differentially expressed in RA-related cell groups. These 5 genes are closely related with immune response in function. CONCLUSION: Our results showed the functional mechanisms underlying the associations of 8 SNP and the corresponding genes. This study is an example of mining publicly available datasets and results in validation of significant disease-association results. Using public data resources for integrative analyses may provide insights into the molecular genetic mechanisms underlying human diseases. AU - Deng, Fei-Yan AU - Lei, Shu-Feng AU - Zhu, Hong AU - Zhang, Yong-Hong AU - Zhang, Zeng-Li DA - 2013/07//undefined DO - 10.3899/jrheum.121119 IS - 7 J2 - J Rheumatol KW - *Polymorphism, Single Nucleotide Alleles Arthritis, Rheumatoid/*genetics/immunology EXPRESSION QUANTITATIVE TRAIT LOCI Female Genetic Predisposition to Disease GENOME-WIDE ASSOCIATION STUDIES Genome-Wide Association Study Genotype Humans Male Quantitative Trait Loci RHEUMATOID ARTHRITIS LA - eng PY - 2013 SN - 0315-162X 0315-162X SP - 1063-1068 ST - Integrative analyses for functional mechanisms underlying associations for rheumatoid arthritis T2 - The Journal of rheumatology TI - Integrative analyses for functional mechanisms underlying associations for rheumatoid arthritis UR - http://www.jrheum.org/content/40/7/1063.long VL - 40 ID - 281 ER - TY - JOUR AB - High-throughput technologies used to interrogate transcriptomes have been generating a great amount of publicly available gene expression data. For rare diseases that lack of clinical samples and research funding, there is a practical benefit to jointly analyze existing data sets commonly related to a specific rare disease. In this study, we collected a number of independently generated transcriptome data sets from four species: human, fly, mouse and worm. All data sets included samples with both normal and abnormal mitochondrial function. We reprocessed each data set to standardize format, scale and gene annotation and used HomoloGene database to map genes between species. Standardized procedure was also applied to compare gene expression profiles of normal and abnormal mitochondrial function to identify differentially expressed genes. We further used meta-analysis and other integrative analyses to recognize patterns across data sets and species. Novel insights related to mitochondrial dysfunction was revealed via these analyses, such as a group of genes consistently dysregulated by impaired mitochondrial function in multiple species. This study created a template for the study of rare diseases using genomic technologies and advanced statistical methods. All data and results generated by this study are freely available and stored at http://goo.gl/nOGWC2, to support further data mining. AU - Zhang, Zhe AU - Hailat, Zeyad AU - Falk, Marni J. AU - Chen, Xue-wen DA - 2014/10/01/ DO - 10.1016/j.ymeth.2014.06.003 IS - 3 J2 - Methods KW - Animals Computational Biology/*methods Databases, Genetic data mining Humans Integrative analysis Internet Mice Mitochondria/*genetics/pathology Mitochondrial dysfunction Molecular Sequence Annotation Rare Diseases/*genetics/pathology Transcriptome data Transcriptome/*genetics LA - eng PY - 2014 SN - 1095-9130 1046-2023 SP - 315-325 ST - Integrative analysis of independent transcriptome data for rare diseases T2 - Methods (San Diego, Calif.) TI - Integrative analysis of independent transcriptome data for rare diseases VL - 69 ID - 166 ER - TY - JOUR AB - Recent functional genomics studies including genome-wide small interfering RNA (siRNA) screens demonstrated that hepatitis C virus (HCV) exploits an extensive network of host factors for productive infection and propagation. How these co-opted host functions interact with various steps of HCV replication cycle and exert pro- or antiviral effects on HCV infection remains largely undefined. Here we present an unbiased and systematic strategy to functionally interrogate HCV host dependencies uncovered from our previous infectious HCV (HCVcc) siRNA screen. Applying functional genomics approaches and various in vitro HCV model systems, including HCV pseudoparticles (HCVpp), single-cycle infectious particles (HCVsc), subgenomic replicons, and HCV cell culture systems (HCVcc), we identified and characterized novel host factors or pathways required for each individual step of the HCV replication cycle. Particularly, we uncovered multiple HCV entry factors, including E-cadherin, choline kinase alpha, NADPH oxidase CYBA, Rho GTPase RAC1 and SMAD family member 6. We also demonstrated that guanine nucleotide binding protein GNB2L1, E2 ubiquitin-conjugating enzyme UBE2J1, and 39 other host factors are required for HCV RNA replication, while the deubiquitinating enzyme USP11 and multiple other cellular genes are specifically involved in HCV IRES-mediated translation. Families of antiviral factors that target HCV replication or translation were also identified. In addition, various virologic assays validated that 66 host factors are involved in HCV assembly or secretion. These genes included insulin-degrading enzyme (IDE), a proviral factor, and N-Myc down regulated Gene 1 (NDRG1), an antiviral factor. Bioinformatics meta-analyses of our results integrated with literature mining of previously published HCV host factors allows the construction of an extensive roadmap of cellular networks and pathways involved in the complete HCV replication cycle. This comprehensive study of HCV host dependencies yields novel insights into viral infection, pathogenesis and potential therapeutic targets. AU - Li, Qisheng AU - Zhang, Yong-Yuan AU - Chiu, Stephan AU - Hu, Zongyi AU - Lan, Keng-Hsin AU - Cha, Helen AU - Sodroski, Catherine AU - Zhang, Fang AU - Hsu, Ching-Sheng AU - Thomas, Emmanuel AU - Liang, T. Jake DA - 2014/05//undefined DO - 10.1371/journal.ppat.1004163 IS - 5 J2 - PLoS Pathog KW - Cells, Cultured/enzymology Genes, Viral Genomics/*methods Hepacivirus/*physiology Hepatitis C/*genetics/*virology Host-Pathogen Interactions/*genetics Humans Receptors, Virus/genetics RNA, Small Interfering/pharmacology Systems Integration Virus Assembly/genetics Virus Internalization Virus Replication/*genetics Virus Shedding/genetics L1 - internal-pdf://3327012776/Li-2014-Integrative functional genomics of hep.pdf LA - eng PY - 2014 SN - 1553-7374 1553-7366 SP - e1004163 ST - Integrative functional genomics of hepatitis C virus infection identifies host dependencies in complete viral replication cycle T2 - PLoS pathogens TI - Integrative functional genomics of hepatitis C virus infection identifies host dependencies in complete viral replication cycle UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4095987/pdf/ppat.1004163.pdf VL - 10 ID - 191 ER - TY - JOUR AB - We propose a new account of how self-reference affects information processing. We report evidence that self-reference affects the binding of memory to source, the integration of parts into perceptual wholes, and the ability to switch from a prior association to new associations. Self-reference also influences the integration of different stages of processing, linking attention to decision making, and affects the coupling between brain regions mediating self-representation and attention to the environment. Taken together, the data suggest that self-reference acts as a form of 'integrative glue' which can either enhance or disrupt performance, depending on the task context. We discuss the implications for understanding the self, and future directions for research. AU - Sui, Jie AU - Humphreys, Glyn W. DA - 2015/12// DO - 10.1016/j.tics.2015.08.015 IS - 12 PY - 2015 SN - 1364-6613 SP - 719-728 ST - The Integrative Self: How Self-Reference Integrates Perception and Memory T2 - Trends in Cognitive Sciences TI - The Integrative Self: How Self-Reference Integrates Perception and Memory VL - 19 ID - 2139 ER - TY - CONF AB - The proceedings contain 17 papers. The topics discussed include: building a geosocial semantic web for military stabilization and reconstruction operations; a cybercrime forensic method for Chinese web information authorship analysis; prediction of unsolved terrorist attacks using group detection algorithms; exploring fraudulent financial reporting with GHSOM; identifying firm-specific risk statements in news articles; when generalized Voronoi diagrams meet GeoWeb for emergency management; a user-centered framework for adaptive fingerprint identification; design of a passport anti-forgery system based on digital signature schemes; a chronological evaluation of unknown malcode detection; relation discovery from Thai news articles using association rule mining; discovering compatible top-K theme patterns from text based on users' preferences; Juicer: scalable extraction for thread meta-information of web forum; and a feature-based approach for relation extraction from Thai news documents. C3 - Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2009, April 27, 2009 - April 27, 2009 DA - 2009 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2009 SN - 03029743 ST - Intelligence and Security Informatics - Pacific Asia Workshop, PAISI 2009, Proceedings T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Intelligence and Security Informatics - Pacific Asia Workshop, PAISI 2009, Proceedings VL - 5477 ID - 550 ER - TY - CONF AB - In our previous work, we have analyzed the shortcomings of existing business intelligence (BI) theory and its actionable capability. One of the works we have presented is the ontology-based integration of business, data warehousing and data mining. This way may make existing BI systems as user and business-friendly as expected. However, it is challenging to tackle issues and construct actionable and businessfriendly systems by simply improving existing BI framework. Therefore, in this paper, we further propose a new framework for constructing next-generation BI systems. That is intelligence metasynthesis, namely the next-generation BI systems should to some extent synthesize four types of intelligence, including data intelligence, domain intelligence, human intelligence and network/web intelligence. The theory for guiding the intelligence metasynthesis is metasynthetic engineering. To this end, an appropriate intelligence integration framework is substantially important. We first address the roles of each type of intelligence in developing nextgeneration BI systems. Further, implementation issues are addressed by discussing key components for synthesizing the intelligence. The proposed framework is based on our real-world experience and practice in designing and implementing BI systems. It also greatly benefits from multi-disciplinary knowledge dialog such as complex intelligent systems and cognitive sciences. The proposed theoretical framework has potential to deal with key challenges in existing BI framework and systems. Springer-Verlag Berlin Heidelberg 2007. AU - Cao, Longbing AU - Zhang, Chengqi AU - Luo, Dan AU - Dai, Ruwei C3 - 1st WICI International Workshop on Web Intelligence meets Brain Informatics, WImBI 2006, December 15, 2006 - December 16, 2006 DA - 2007 KW - data mining Data warehouses Intelligent systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2007 SN - 03029743 SP - 454-470 ST - Intelligence metasynthesis in building business intelligence systems T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Intelligence metasynthesis in building business intelligence systems VL - 4845 LNAI ID - 1812 ER - TY - JOUR AB - Objectives: A number of controversial studies have been reported on the potential risk of breast cancer caused by hormone replacement therapy (HRT). Some studies showed a positive relationship between HRT and breast cancer onset, but other studies have not confirmed, these results. To clarify the contradictory outcomes in the relationships between HRT and the onset of breast cancer, we have designed an intelligent data mining model (IDM), which is able to find proper prognostic factors for cancer onset and provides alternate measures in interpretation of outcome of clinical data through hierarchies of attributes. Methods: Based on the selection criteria, we selected 22 sets of random and case-control studies of the last 15 years, which identified any involvements of HRT with breast cancer. We analyzed the relationship between HRT and breast cancer using an IDM model consisting of data mining algorithms and public domain data mining tools. Prognostic factors which underline the for etiological dispositions of breast cancer were identified. Results: The variables which are closely associated with cancer onset to some degree are age 60-69, age at menopause oophorectomy. An implementation of IDM model on overall pooled data indicated that there is no significant relationship between breast cancer onset and HRT. It is suggested that HRT patients with specific physiological and pathological conditions related with the higher ranks of prognostic factors may have a greater chance to get breast cancer. Conclusion: The results of this study may guide biomedical research directed at establishing the causal relationships between various medications and their complications, allowing an accurate assessment of efficacy and side effects of new therapeutic treatment in clinical trials without reliance on a large control population. AU - Lee, Y. AU - Dharmala, K. AU - Lee, C. H. DA - 2007 IS - 1 PY - 2007 SN - 0026-1270 SP - 5-18 ST - An intelligent data mining model approach for adverse effects of hormone replacement therapy T2 - Methods of Information in Medicine TI - An intelligent data mining model approach for adverse effects of hormone replacement therapy UR - http://methods.schattauer.de/en/contents/archivestandard/issue/670/manuscript/7686.html VL - 46 ID - 2044 ER - TY - CONF AB - For the effective control of dam life process, it is important to implement the real-time diagnosis and reasonable evaluation for dam safety based on prototype observations. The development of intelligent early-warning systems of dam safety (IEWSDS) is a significant approach to realize above aim. This paper regarded dam as a vital and intelligent system, thereby constructed a bionics model of dam safety, which consisted of sensing system (nerve), central processing unit (cerebrum) and decision-making implement (organism). With above model and systems engineering, this paper designed an IEWSDS, which was composed of integration control, intelligent inference machine, project database, model base, graphics base and input/output modules. In the system, metadata base based on object oriented data model was used to implement the integration of homogeneous or nonhomogeneous databases storing dam safety data from different information sources. The multilevel link style was adopted to manage model base. Intelligent inference machine is the central processing unit of IEWSDS implementing data analysis, abnormality diagnosis and evaluation for dam safety. Because of strong non-linear and dynamic characteristics, the system adopted a combination model based on wavelet networks to approximate and forecast the run characteristics of dam. The abnormality diagnosis is a process of discovering knowledge on the pattern between of disease and geneses. The methods of attributions reduction in rough sets theory were presented to diagnose adaptively the abnormal cases and find out the geneses. The safety status of dam changes dynamically, which emerges in the quantitative and qualitative change manners. Therefore, quantitative and qualitative changes need be considered comprehensively in the process of dam safety evaluation. This paper proposed an extension evaluation method. The quantitative change and qualitative change of dam safety property were integrated into a matter-element. Based on the matter-element extensibility, the contradictory problem for dam safety elevation can be solved. In practice, the proposed system has been used to monitor dam safety successfully. The applications show that the bionics model is feasible; the proposed key technologies are effective. The systems can supply technical support for improving the level of dam safety management, extending normal run time of dam and voiding dam failure. AU - Huai-Zhi, Su AU - Zhi-Ping, Wen C3 - Proceedings of 2005 International Conference on Machine Learning and Cybernetics, 18-21 Aug. 2005 DA - 2005 KW - biocybernetics dams data analysis data mining data models fault diagnosis Knowledge based systems meta data object-oriented databases power engineering computing rough set theory safety PB - IEEE PY - 2005 SP - 1868-77 ST - Intelligent early-warning system of dam safety T3 - Proceedings of 2005 International Conference on Machine Learning and Cybernetics (IEEE Cat. No. 05EX1059) TI - Intelligent early-warning system of dam safety VL - Vol. 3 ID - 1194 ER - TY - JOUR AB - A set of systematic experiments on intelligent email categorization has been conducted with different machine learning algorithms applied to different parts of data in order to achieve the most correct classification. The categorization is based on not only the body but also the header of an email message. The metadata (e.g. sender name, sender organization, etc.) provide additional information that can be exploited to improve the categorization capability. Results of experiments on real email data demonstrate the feasibility of our approach to find the best learning algorithm and the metadata to be used, which is a very significant contribution in email classification. It is also shown that categorization based only on the header information is comparable or superior to that based on all the information in a message for all the learning algorithms considered. AU - Jihoon, Yang AU - Chalasani, V. AU - Sung-Yong, Park DA - 2003/07// IS - 7 J2 - IEICE Transactions on Information and Systems KW - data mining Electronic mail Knowledge based systems learning (artificial intelligence) meta data text analysis PY - 2003 SN - 0916-8532 SP - 1280-8 ST - Intelligent email categorization based on textual information and metadata T2 - IEICE Transactions on Information and Systems TI - Intelligent email categorization based on textual information and metadata VL - E86-D ID - 959 ER - TY - JOUR AB - Because of less and less energy in the world, developing an intelligent energy management system for residence and factory is more important to use power efficiently and make friendly environment. In this paper, we propose a smart home energy management system (HEMS) which analyzes the electrical usage and history of all household appliances through context-aware technologies, meta heuristics algorithms and statistical analysis. Furthermore, the battery management system which can be recharged from renewable energy and mains electricity is as well another focus in the proposed home energy management system. Finally, the scheme can control the cost of energy usage by intelligently monitoring the condition of household electricity and ensuring the safety. AU - Yang, Tui-Yi AU - Yang, Chu-Sing AU - Sung, Tien-Wen DA - 2015 DO - 10.1109/RVSP.2015.58 PY - 2015 SP - 216-219 ST - An Intelligent Energy Management Scheme With Monitoring and Scheduling Approach for IoT Applications in Smart Home T2 - 2015 Third International Conference on Robot, Vision and Signal Processing (rvsp) TI - An Intelligent Energy Management Scheme With Monitoring and Scheduling Approach for IoT Applications in Smart Home ID - 2018 ER - TY - CONF AB - This presentation proposes an intelligent information discovery agent that may aid Internet users in performing efficient Web information retrieval and discovery through query formulation, information collection, information clustering and analysis. The underlying mechanism includes a fuzzy neural learning system for active learning that can be used in clustering operations. Due to the tremendous popularity and growth of heterogeneous information on the Internet, it may be difficult to index and categorize documents efficiently to speed up searching and browsing; this problem is made even more complex due to the broad spectrum of Internet users. Further, the internal representation of information retrieval systems may not always match the user's intent (sometimes called the user concept), thus requiring several cycles of query, possibly with user feedback, to match the user's desires with the retrieval results. Several approaches have been suggested to close the gap between the user's intent and the actual retrieved documents taken from a dynamically increasing information database. These methods include intelligent browsing agents, meta-search engines that are interface agents to multiple search engines and Internet resources, and user concept matching for the Lotus Notes database. In this work, a novel intelligent query and browsing information framework is developed to aid searching, learning and discovering the user concept from multiple existing information retrieval systems. The framework is applied to accessing multiple Web search engines in parallel. AU - Jong-Min, Park AU - Lee, G. K. C3 - Proceedings of IEEE International Conference on Systems, Man & Cybernetics, 7-10 Oct. 2001 DA - 2001 DO - 10.1109/ICSMC.2001.972060 KW - data mining Fuzzy systems Information analysis information needs Information Resources Internet Learning systems neural nets query formulation Search Engines PB - IEEE PY - 2001 SP - 3483-vol.5 ST - Intelligent information extraction and discovery for query and browsing operations T3 - 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236) TI - Intelligent information extraction and discovery for query and browsing operations UR - http://dx.doi.org/10.1109/ICSMC.2001.972060 VL - vol.5 ID - 1580 ER - TY - CONF AB - This paper reports work on automated meta-data creation for multimedia content. The approach results in the generation of a conceptual index of the content which may then be searched via semantic categories instead of keywords. The novelty of the work is to exploit multiple sources of information relating to video content (in this case the rich range of sources covering important sports events). News, commentaries and web reports covering international football games in multiple languages and multiple modalities is analysed and the resultant data merged. This merging process leads to increased accuracy relative to individual sources. AU - Kuper, Jan AU - Saggion, Horacio AU - Cunningham, Hamish AU - Declerck, Thierry AU - De Jong, Franciska AU - Reidsma, Dennis AU - Wilks, Yorick AU - Wittenburg, Peter C3 - 18th International Joint Conference on Artificial Intelligence, IJCAI 2003, August 9, 2003 - August 15, 2003 DA - 2003 KW - artificial intelligence Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Joint Conferences on Artificial Intelligence PY - 2003 SN - 10450823 SP - 409-414 ST - Intelligent multimedia indexing and retrieval through multi-source information extraction and merging T3 - IJCAI International Joint Conference on Artificial Intelligence TI - Intelligent multimedia indexing and retrieval through multi-source information extraction and merging ID - 832 ER - TY - CONF AB - Text data, which are represented as free text in World Wide Web (WWW), are inherently unstructured and hence it becomes difficult to directly process the text data by computer programs. There has been great interest in text mining techniques recently for helping users to quickly gain knowledge from the Web. Text mining technologies usually involve tasks such as text refining which transforms free text into an intermediate representation form which is machine-processable and knowledge distillation which deduces patterns or knowledge from the intermediate form. These text representation methodologies consider documents as bags of words and ignore the meanings and ideas their authors want to convey. As terms are treated as individual items in such simplistic representations, terms lose their semantic relations and texts lose their original meanings. In this paper, we propose a system that overcomes the limitations of the existing technologies to retrieve the information from the knowledge discovered through data mining based on the detailed meanings of the text. For this, we propose a knowledge representation technique, which uses resources description framework (RDF) metadata to represent the semantic relations, which are extracted from textual Web document using natural language processing techniques. The main objective of the creation of RDF metadata in this system is to have flexibility for easy retrieval of the semantic information effectively. We also propose an effective semantic information retrieval algorithm called SEMINRET algorithm. The experimental results obtained from this system show that the computations of precision and recall in RDF databases are highly accurate when compared to XML databases. Moreover, it is observed from our experiments that the document retrieval from the RDF database is more efficient than the document retrieval using XML databases. AU - Karthik, M. AU - Marikkannan, M. AU - Kannan, A. C3 - Computational Forensics. Second International Workshop, IWCF 2008, 7-8 Aug. 2008 DA - 2008 KW - data mining information retrieval knowledge representation meta data natural language processing text analysis PB - Springer-Verlag PY - 2008 SP - 135-46 ST - An intelligent system for semantic information retrieval information from textual Web documents T3 - Computational Forensics. Second International Workshop, IWCF 2008 TI - An intelligent system for semantic information retrieval information from textual Web documents ID - 1375 ER - TY - CONF AB - E-business sites and shopping mall sites deal with a lot of image information. To find a specific image from image sources, we usually use web search engines or image database engines. But, the feature based retrieval capabilities of these systems are quite limited, especially for the web images. This Paper presents Web Image Metadata Mining System For E-business Intelligence. We propose the indexing techniques and color based image classification and representation schemes of user log. The system keeps track of user's preferences by generating user query logs and automatically adds more search information to subsequent user queries. To demonstrate the usefulness of the proposed system, some experimental results showing and precision are also explained. AU - Hye-Jin, Jin AU - Hong-Chul, Lee C3 - 2007 International Conference on Control, Automation and Systems - ICCAS '07, 17-20 Oct. 2007 DA - 2007 KW - content-based retrieval data mining image classification image colour analysis image retrieval meta data Web sites PB - IEEE PY - 2007 SP - 441-4 ST - Intelligent web image retrieval system using user log (ICCAS 2007) T3 - 2007 International Conference on Control, Automation and Systems - ICCAS '07 TI - Intelligent web image retrieval system using user log (ICCAS 2007) ID - 1087 ER - TY - CONF AB - Getting a quick impression of the author's intention of a text is an task often performed. An author's intention plays a major role in successfully understanding a text. For supporting readers in this task, we present an intentional approach to visual text analysis, making use of tag clouds. The objective of tag clouds is presenting meta-information in a visually appealing way. How- ever there is also much uncertainty associated with tag clouds, such as giving the wrong impression. It is not clear whether the author's intent can be grasped clearly while looking at a corresponding tag cloud. Therefore it is interesting to ask to what extent, with tag clouds, it is possible to support the user in under- standing intentions expressed. In order to answer this question, we construct an intentional perspective on textual content. Based on an existing algorithm for extracting intent annotations from textual content we present a prototypical implementation to produce intent tag clouds, and describe a formative testing, illustrating how intent visualizations may support readers in understanding a text successfully. With the initial prototype, we conducted user studies of our intentional tag cloud visualization and a comparison with a traditional one that visualizes frequent terms. The evaluation's results indicate, that intent tag clouds have a positive effect on supporting users in grasping an author's intent. AU - Jeanquartier, Fleur AU - Kroll, Mark AU - Strohmaier, Markus C3 - 10th International Workshop of the Multimedia Metadata Community on Semantic Multimedia Database Technologies, SeMuDaTe 2009 - In Conjunction with the 4th International Conference on Semantic and Digital Media Technologies, SAMT 2009, December 2, 2009 - December 2, 2009 DA - 2009 KW - data mining Digital storage Metadata Semantics visualization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Sun SITE Central Europe CEUR-WS PY - 2009 SN - 16130073 SP - 27-38 ST - Intent tag clouds: An intentional approach to visual text analysis T3 - CEUR Workshop Proceedings TI - Intent tag clouds: An intentional approach to visual text analysis VL - 539 ID - 1475 ER - TY - JOUR AB - The application of gas chromatography-mass spectrometry (GC-MS) to the 'global' analysis of metabolites in complex samples (i.e. metabolomics) has now become routine. The generation of these data-rich profiles demands new strategies in data mining and standardisation of experimental and reporting aspects across laboratories. As part of the META-PHOR project's (METAbolomics for Plants Health and OutReach: http://www.meta-phor.eu/) priorities towards robust technology development, a GC-MS ring experiment based upon three complex matrices (melon, broccoli and rice) was launched. All sample preparation, data processing, multivariate analyses and comparisons of major metabolite features followed standardised protocols, identical models of GC (Agilent 6890N) and TOF/MS (Leco Pegasus III) were also employed. In addition comprehensive GCxGC-TOF/MS was compared with 1 dimensional GC-TOF/MS. Comparisons of the paired data from the various laboratories were made with a single data processing and analysis method providing an unbiased assessment of analytical method variants and inter-laboratory reproducibility. A range of processing and statistical methods were also assessed with a single exemplary dataset revealing near equal performance between them. Further investigations of long-term reproducibility are required, though the future generation of global and valid metabolomics databases offers much promise. AU - Allwood, J. William AU - Erban, Alexander AU - de Koning, Sjaak AU - Dunn, Warwick B. AU - Luedemann, Alexander AU - Lommen, Arjen AU - Kay, Lorraine AU - Loescher, Ralf AU - Kopka, Joachim AU - Goodacre, Royston DA - 2009/12// DO - 10.1007/s11306-009-0169-z IS - 4 L1 - internal-pdf://0945117276/Allwood-2009-Inter-laboratory reproducibility.pdf PY - 2009 SN - 1573-3882 SP - 479-496 ST - Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics T2 - Metabolomics TI - Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2847149/pdf/11306_2009_Article_169.pdf VL - 5 ID - 2110 ER - TY - JOUR AB - BACKGROUND: Osteoarthritis (OA), also referred to as degenerative joint disease or wear-and-tear arthritis, is caused by the breakdown of joint cartilage. Rheumatoid arthritis (RA) is a chronic, inflammatory type of arthritis. RA is also classified as a kind of autoimmune disease. AIM: To find the important genes in RA and OA. MATERIALS AND METHODS: Comprehensively compared 3 datasets of RA with 2 datasets of OA, 98 genes were sifted. We explored protein-protein associations processed for the 98 genes by mining famous gene/protein interaction/association database. RESULTS: We found most of those genes appear to play a key role in the anti-inflammatory and immunosuppressive effects. CONCLUSIONS: Our research would play a useful role in the diagnosis and treatment of OA and RA. AU - Zhang, Q. AU - Cheng, B. AU - Yang, C. X. AU - Ge, H. A. DA - 2014 IS - 2 J2 - Eur Rev Med Pharmacol Sci KW - Arthritis, Rheumatoid/*genetics/metabolism Autoimmune Diseases/genetics/metabolism Cartilage, Articular/metabolism Humans Osteoarthritis/*genetics/metabolism Protein Interaction Maps/genetics Transcriptome/genetics LA - eng PY - 2014 SN - 2284-0729 1128-3602 SP - 179-184 ST - Interaction relationships of osteoarthritis and rheumatoid arthritis related genes T2 - European review for medical and pharmacological sciences TI - Interaction relationships of osteoarthritis and rheumatoid arthritis related genes VL - 18 ID - 213 ER - TY - JOUR AB - Large-archives of neuroimaging data present many opportunities for re-analysis and mining that can lead to new findings of use in basic research or in the characterization of clinical syndromes. However, interaction with such archives tends to be driven textually, based on subject or image volume meta-data, not the actual neuroanatomical morphology itself, for which the imaging was performed to measure. What is needed is a content-driven approach for examining not only the image content itself but to explore brains that are anatomically similar, and identifying patterns embedded within entire sets of neuroimaging data. With the aim of visual navigation of large- scale neurodatabases, we introduce the concept of brain meta-spaces. The meta-space encodes pair-wise dissimilarities between all individuals in a population and shows the relationships between brains as a navigable framework for exploration. We employ multidimensional scaling (MDS) to implement meta-space processing for a new coordinate system that distributes all data points (brain surfaces) in a common frame-of-reference, with anatomically similar brain data located near each other. To navigate within this derived meta-space, we have developed a fully interactive 3D visualization environment that allows users to examine hundreds of brains simultaneously, visualize clusters of brains with similar characteristics, zoom in on particular instances, and examine the surface topology of an individual brain's surface in detail. The visualization environment not only displays the dissimilarities between brains, but also renders complete surface representations of individual brain structures, allowing an instant 3D view of the anatomies, as well as their differences. The data processing is implemented in a grid-based setting using the LONI Pipeline workflow environment. Additionally users can specify a range of baseline brain atlas spaces as the underlying scale for comparative analyses. The novelty in our approach lies in the user ability to simultaneously view and interact with many brains at once but doing so in a vast meta-space that encodes (dis) similarity in morphometry. We believe that the concept of brain meta-spaces has important implications for the future of how users interact with large-scale archives of primary neuroimaging data. AU - Joshi, Shantanu H. AU - Horn, John Darrell Van AU - Toga, Arthur W. DA - 2009 DO - 10.3389/neuro.11.038.2009 J2 - Front Neuroinform KW - 3D visualization Meta-analysis neuroanatomical data mining visual data mining L1 - internal-pdf://1814634316/Joshi-2009-Interactive exploration of neuroana.pdf LA - eng PY - 2009 SN - 1662-5196 1662-5196 SP - 38 ST - Interactive exploration of neuroanatomical meta-spaces T2 - Frontiers in neuroinformatics TI - Interactive exploration of neuroanatomical meta-spaces UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2776489/pdf/fninf-03-038.pdf VL - 3 ID - 312 ER - TY - CONF AB - In this paper, formal language is used to describe the data warehouse model in order to confirm the significance of the data warehouse modeling. The design process of describing the data warehouse model is divided into five layers, including the identification of themes, build dimension tables and fact sheets, model mapping, metadata management, and build the index and design of process chart. On the concrete realization of the model, combined with a specific e-commerce systems to achieve various levels of functionality. The building process of data warehouse is showed on the web page, so to make modeling a more convenient and efficient. Further the system validation is finished through OLAP analysis. AU - Li, Yebai AU - Zhang, Li C3 - 2009 International Forum on Computer Science-Technology and Applications (IFCSTA 2009), 25-27 Dec. 2009 DA - 2009 DO - 10.1109/IFCSTA.2009.26 KW - data mining Data warehouses Electronic commerce formal languages meta data PB - IEEE PY - 2009 SP - 80-3 ST - Interactive modeling of data warehouse on e-business system T3 - Proceedings of the 2009 International Forum on Computer Science-Technology and Applications (IFCSTA 2009) TI - Interactive modeling of data warehouse on e-business system UR - http://dx.doi.org/10.1109/IFCSTA.2009.26 VL - vol.1 ID - 1200 ER - TY - JOUR AU - Kain, Zeev N. AU - Caldwell-Andrews, Alison A. AU - Krivutza, Dawn M. AU - Weinberg, Megan E. AU - Gaal, Dorothy AU - Wang, Shu-Ming AU - Mayes, Linda C. DA - 2004 DP - Google Scholar IS - 5 L1 - https://www.researchgate.net/profile/Shu-Ming_Wang/publication/8600117_Interactive_music_therapy_as_a_treatment_for_preoperative_anxiety_in_children_a_randomized_controlled_trial/links/0c9605334704729ac4000000.pdf PY - 2004 SP - 1260-1266 ST - Interactive music therapy as a treatment for preoperative anxiety in children T2 - Anesthesia & Analgesia TI - Interactive music therapy as a treatment for preoperative anxiety in children: a randomized controlled trial UR - http://journals.lww.com/anesthesia-analgesia/Abstract/2004/05000/Interactive_Music_Therapy_as_a_Treatment_for.13.aspx VL - 98 Y2 - 2016/09/24/16:06:07 ID - 2419 ER - TY - JOUR AB - The jarosite family of minerals contain antiferromagnetically coupled Fe(3+) ions that make up the kagome network. This geometric arrangement of the Fe(3+) ions causes magnetic frustration that results in exotic electronic ground states, e.g. spin glasses and spin liquids. Synthetic research into jarosites has focused on producing near perfect stoichiometry to eliminate possible magnetic disorder. A new oxidative synthesis method has been developed for the potassium, sodium, rubidium and ammonium jarosites that leads to high Fe coverage. We show through the identification of a meta-stable intermediate, using powder X-ray diffraction, how near perfect Fe coverage arises using this method. Understanding this new mechanism for jarosite formation suggests that it is possible to synthesise hydronium jarosite - an unconventional spin glass - with a very high Fe coverage. AU - Bisson, W. AU - Wills, A. S. DA - 2007 PY - 2007 SN - 0044-2968 SP - 511-516 ST - Intermediate phase in the oxidative hydrothermal synthesis of potassium jarosite, a model kagome antiferromagnet T2 - Zeitschrift Fur Kristallographie TI - Intermediate phase in the oxidative hydrothermal synthesis of potassium jarosite, a model kagome antiferromagnet ID - 2064 ER - TY - CONF AB - The proceedings contain 31 papers. The special focus in this conference is on Analysis and Modeling of Complex Data in Behavioral and Social Sciences. The topics include: Time-frequency filtering for seismic waves clustering; modeling longitudinal data by latent markov models with application to educational and psychological measurement; clustering of stratified aggregated data using the aggregate association index; estimating a Rasch model via fuzzy empirical probability functions; scale reliability evaluation for a-priori clustered data; an evaluation of performance of territorial services center TSC by a nonparametric combination ranking method; a new index for the comparison of different measurement scales; asymmetries in organizational structures; a generalized additive model for binary rare events data; the meaning of forma in thomas aquinas; the estimation of the parameters in multi-criteria classification problem; dynamic clustering of financial assets; influence diagnostics for meta-analysis of individual patient data using generalized linear mixed models; social networks as symbolic data; statistical assessment for risk prediction of endoleak formation after TEVAR based on linear discriminant analysis; fuzzy c-means for web mining; on joint dimension reduction and clustering of categorical data; a SVM applied text categorization of academia-industry collaborative research and development documents on the web; dynamic customer satisfaction and measure of trajectories and the analysis of partnership networks in social planning processes. C3 - Joint international meeting on Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society, JCS-CLADAG 2012, September 3, 2012 - September 4, 2012 DA - 2012 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Kluwer Academic Publishers PY - 2012 SN - 14318814 SP - 1-301 ST - International Conference on Analysis and Modeling of Complex Data in Behavioral and Social Sciences held with Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society, JCS-CLADAG 2012 T3 - Studies in Classification, Data Analysis, and Knowledge Organization TI - International Conference on Analysis and Modeling of Complex Data in Behavioral and Social Sciences held with Japanese Classification Society and the Classification and Data Analysis Group of the Italian Statistical Society, JCS-CLADAG 2012 VL - 49 ID - 1191 ER - TY - CONF AB - The proceedings contain 119 papers. The special focus in this conference is on Computational Finance, Economics, Numerical Methods for Structured Systems and High Performance Environmental Computations. The topics include: Parallel computing method of valuing for multi-asset European option; a fuzzy approach to portfolio rebalancing with transaction costs; mining investment venture rules from insurance data based on decision tree; double auction in two-level markets; a set of data mining models to classify credit cardholder behavior; continuous time Markov decision processes with expected discounted total rewards; model on analysis of industrial relation based on the binary relation theory; multi-symplectic spectral methods for the sine-Gordon equation; a discrete approach for the inverse singular value problem in some quadratic group; a symplectic lanczos-type algorithm to compute the eigenvalues of positive definite Hamiltonian matrices; applying stabilization techniques to orthogonal gradient flows; coupling general circulation models on a meta-computer; optimal numerical realization of the energy balance equation for wind wave models; simulation of water exchange in enclosed water bodies; a baroclinic three dimensional numerical model applied to coastal lagoons; stochastic simulation of inhomogeneous metocean fields; performance comparison of process allocation schemes depending upon resource availability on grid computing environment; efficient load balancing by adaptive bypasses for the migration on the internet; generalization of the fast consistency algorithm to a grid with multiple high demand zones and linear algebra computation benchmarks on a model grid platform. C3 - International Conference on Computational Science, ICCS 2003, June 2, 2003 - June 4, 2003 DA - 2003 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2003 SN - 03029743 SP - 1-1128 ST - International Conference on Computational Science, ICCS 2003 T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - International Conference on Computational Science, ICCS 2003 VL - 2658 ID - 776 ER - TY - CONF AB - Knowledge discovery and data correlation require a unified approach to basic data management. However, achieving such an approach is nearly impossible with hundreds of disparate data sources, legacy systems and data formats. This problem is pervasive in the biomedical research community, where data models, taxonomies and data management systems are locally implemented. These local implementations create an environment where interoperability and collaboration between researchers and research institutions are limited. The authors demonstrate how technology developed by NASA's Jet Propulsion Laboratory (JPL) for space science can be used to build an interoperable data architecture for bioinformatics. JPL has taken a novel approach towards solving this problem by exploiting Web technologies usually dedicated to e-commerce, combined with a rich, metadata-based environment. This paper discusses the approach taken to develop a prototype data architecture for the discovery and validation of disease biomarkers within a biomedical research network. Biomarkers are measured parameters of normal biological processes, pathogenic processes or pharmacological responses to a therapeutic intervention. Biomarkers are of growing importance in biomedical research for therapeutic discovery, disease prevention and detection. A bioinformatics infrastructure is crucial to support the integration and analysis of large, complex biological and epidemiological data sets. AU - Crichton, D. AU - Kincaid, H. AU - Downing, G. J. AU - Srivastava, S. AU - Hughes, J. S. C3 - Proceedings 14th IEEE Symposium on Computer-Based Medical Systems. CBMS 2001, 26-27 July 2001 DA - 2001 DO - 10.1109/CBMS.2001.941699 KW - data mining data models Diseases distributed databases electronic data interchange Information Resources medical information systems meta data open systems PB - IEEE Comput. Soc. PY - 2001 SP - 65-72 ST - An interoperable data architecture for data exchange in a biomedical research network T3 - Proceedings 14th IEEE Symposium on Computer-Based Medical Systems. CBMS 2001 TI - An interoperable data architecture for data exchange in a biomedical research network UR - http://dx.doi.org/10.1109/CBMS.2001.941699 ID - 863 ER - TY - CHAP AB - Background Background Agriculture is more hazardous than most other industries. Many strategies have been introduced to reduce injuries in the field, yet the effectiveness of different interventions on occupational injuries still remains unclear. Objectives Objectives This review aims to determine the effectiveness of interventions to prevent occupational injuries among workers in the agricultural industry compared to no interventions or to alternative interventions. Search methods Search methods Cochrane Central Register of Controlled Trials, Cochrane Injuries Group's specialised register, MEDLINE, EMBASE, PsychINFO, OSH-ROM (including NIOSHTIC and HSELINE) databases were searched up to June 2006. Reference lists of selected articles, relevant reviews and additional topic related databases and web sites were also searched. The searches were not restricted by language or publication status. Selection criteria Selection criteria Randomised controlled trials, cluster-randomised controlled trials, prospective cohort studies with a concurrent control group, and interrupted time series studies assessing any type of intervention aiming to prevent fatal or non-fatal injuries among workers in agriculture. Data collection and analysis Data collection and analysis Two reviewers conducted data extraction and study quality assessment independently. Rate ratios of randomised controlled trials were calculated and the effect sizes were combined in a meta-analysis. Interrupted time series studies were reanalysed and each of them studied for having an immediate and a progressive effect. Main results Main results Five randomised controlled trials (RCTs) with 11,565 participants and three interrupted time series studies (ITSs) with 26.3 data points on average met the criteria. For educational interventions aiming at reducing injury rates among adults the pooled rate ratio after recalculation from effect sizes in three RCTs was 1.02 (95% CI 0.87 to 1.20). For educational interventions aiming at children the pooled rate ratio for injury rates in two RCTs was 1.27 (95% CI 0.51 to 3.16). One ITS study that evaluated the effect of an intervention that included financial incentives decreased the injury level immediately after the intervention with an effect size of -2.68 (95% CI -3.80 to -1.56) but did not have a significant effect on the injury trend over time with an effect size of -0.22 (95% CI -0.47 to 0.03). One ITS study that evaluated the effect of legislation to ban Endosulfan pesticide on fatal pesticide poisonings increased the level of poisonings immediately after the introduction with an effect size of 2.20 (95% CI 0.97 to 3.43) but led to decrease in the trend of poisonings over time with an effect size of -2.15 (95% CI -2.64 to -1.66). One ITS study documented four different regulations aiming to increase the use of rollover protective structures (ROPS) on tractors and their effect on injuries and fatal injuries. The introduction of two different pieces of legislation requiring ROPS on new tractors sold after a certain date was associated with a decrease of fatal injuries over the long term (effect size -0.93 95% CI -1.82 to -0.03). Otherwise the introduction of legislation was associated with an increase of injury rates. Introduction of legislation requiring ROPS on all tractors, old tractors included, was not associated with a decrease but with an increase of injuries and fatal injuries over the long term. Authors' conclusions Authors' conclusions The selected studies provided no evidence that educational interventions are effective in decreasing injury rates among agricultural workers. Financial incentives could reduce injury rates. Legislation to ban pesticides could be effective. Legislation expanding the use of safety devices (ROPS) on new tractors was associated with a decrease in fatal injuries. AU - Rautiainen, Risto AU - Lehtola, Marika M. AU - Day, Lesley Margaret AU - Schonstein, Eva AU - Suutarinen, Juha AU - Salminen, Simo AU - Verbeek, Jos H. DP - Wiley Online Library LA - en PB - John Wiley & Sons, Ltd PY - 2008 ST - Interventions for preventing injuries in the agricultural industry T2 - Cochrane Database of Systematic Reviews TI - Interventions for preventing injuries in the agricultural industry UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006398.pub2/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006398.pub2/full Y2 - 2016/09/18/20:15:38 ID - 429 ER - TY - CHAP AB - Background Background Some groups of people have a greater risk of developing common non-melanoma skin cancers (NMSC). Objectives Objectives To evaluate interventions for preventing NMSC in people at high risk of developing NMSC. Search methods Search methods We searched the Cochrane Skin Group Specialised Register (March 2007), the Cochrane Central Register of Controlled Trials (The Cochrane Library Issue 1, 2007, MEDLINE (from 2003 to March 2007), EMBASE (from 2005 to March 2007), the metaRegister of Controlled Trials (February 2007). References from trials and reviews were also searched. Pharmaceutical companies were contacted for unpublished trials. Selection criteria Selection criteria Randomised controlled trials of adults and children at high risk of developing NMSC. Data collection and analysis Data collection and analysis Two review authors independently selected studies and assessed their methodological quality. Main results Main results We identified 10 trials (7,229 participants) that assessed a variety of interventions. One trial found T4N5 liposome lotion significantly reduced the rate of appearance of new BCCs in people with xeroderma pigmentosum. One of three trials of renal transplant recipients showed a significantly reduced risk of new NMSCs when acitretin was compared to placebo (relative risk (RR) 0.22 95% confidence interval (CI) 0.06 to 0.90) and no significant difference in risk of adverse events in two trials (RR 1.80, 95% CI 0.70 to 4.61). In three trials conducted in people with a history of NMSC, the evidence was inconclusive for the development of BCCs for retinol or isoretinoin. However the risk of a new SCC in one trial (HR 1.79, 95% CI 1.16 to 2.76) and adverse events in another trial (RR 1.76, 95% CI 1.57 to 1.97) were significantly increased in the isotretinoin group compared with placebo. In one trial selenium showed a reduced risk of other types of cancer compared with placebo (RR 0.65, 95% CI 0.50 to 0.85) but also a significantly elevated risk of a new NMSC (HR 1.17, 95% CI 1.02 to 1.34). The evidence for one trial of beta-carotene was inconclusive; and there was a trend towards fewer new NMSC in a trial of a reduced fat diet (RR 0.16, 95% CI 0.02 to 1.31), p = 0.09. Authors' conclusions Authors' conclusions Some preventative treatments may benefit people at high risk of developing NMSC, but the ability to draw firm conclusions is limited by small numbers of trials, often with one trial per intervention or with inconsistent results between studies. AU - Bath-Hextall, Fiona J. AU - Leonardi-Bee, Jo AU - Somchand, Neal AU - Webster, Angela C. AU - Dellit, Jim AU - Perkins, William DP - Wiley Online Library LA - en PB - John Wiley & Sons, Ltd PY - 2007 ST - Interventions for preventing non-melanoma skin cancers in high-risk groups T2 - Cochrane Database of Systematic Reviews TI - Interventions for preventing non-melanoma skin cancers in high-risk groups UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD005414.pub2/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD005414.pub2/full Y2 - 2016/09/18/20:19:23 ID - 439 ER - TY - CHAP AB - Background Background The effectiveness of interventions to increase the uptake of influenza vaccination in people aged 60 and older is uncertain. Objectives Objectives To assess access, provider, system and societal interventions to increase the uptake of influenza vaccination in people aged 60 years and older in the community. Search methods Search methods We searched CENTRAL (2014, Issue 5), MEDLINE (January 1950 to May week 3 2014), EMBASE (1980 to June 2014), AgeLine (1978 to 4 June 2014), ERIC (1965 to June 2014) and CINAHL (1982 to June 2014). Selection criteria Selection criteria Randomised controlled trials (RCTs) of interventions to increase influenza vaccination uptake in people aged 60 and older. Data collection and analysis Data collection and analysis Two review authors independently assessed study quality and extracted influenza vaccine uptake data. Main results Main results This update identified 13 new RCTs; the review now includes a total of 57 RCTs with 896,531 participants. The trials included community-dwelling seniors in high-income countries. Heterogeneity limited meta-analysis. The percentage of trials with low risk of bias for each domain was as follows: randomisation (33%); allocation concealment (11%); blinding (44%); missing data (49%) and selective reporting (100%). Increasing community demand (32 trials, 10 strategies) The interventions with a statistically significant result were: three trials (n = 64,200) of letter plus leaflet/postcard compared to letter (odds ratio (OR) 1.11, 95% confidence interval (CI) 1.07 to 1.15); two trials (n = 614) of nurses/pharmacists educating plus vaccinating patients (OR 3.29, 95% CI 1.91 to 5.66); single trials of a phone call from a senior (n = 193) (OR 3.33, 95% CI 1.79 to 6.22), a telephone invitation versus clinic drop-in (n = 243) (OR 2.72, 95% CI 1.55 to 4.76), a free groceries lottery (n = 291) (OR 1.04, 95% CI 0.62 to 1.76) and nurses educating and vaccinating patients (n = 485) (OR 152.95, 95% CI 9.39 to 2490.67). We did not pool the following trials due to considerable heterogeneity: postcard/letter/pamphlets (16 trials, n = 592,165); tailored communications (16 trials, n = 388,164); customised letter/phone-call (four trials, n = 82,465) and client-based appraisals (three trials, n = 4016), although several trials showed the interventions were effective. Enhancing vaccination access (10 trials, six strategies) The interventions with a statistically significant result were: two trials (n = 2112) of home visits compared to clinic invitation (OR 1.30, 95% CI 1.05 to 1.61); two trials (n = 2251) of free vaccine (OR 2.36, 95% CI 1.98 to 2.82) and one trial (n = 321) of patient group visits (OR 24.85, 95% CI 1.45 to 425.32). One trial (n = 350) of a home visit plus vaccine encouragement compared to a home visit plus safety advice was non-significant. We did not pool the following trials due to considerable heterogeneity: nurse home visits (two trials, n = 2069) and free vaccine compared to no intervention (two trials, n = 2250). Provider- or system-based interventions (17 trials, 11 strategies) The interventions with a statistically significant result were: two trials (n = 2815) of paying physicians (OR 2.22, 95% CI 1.77 to 2.77); one trial (n = 316) of reminding physicians about all their patients (OR 2.47, 95% CI 1.53 to 3.99); one trial (n = 8376) of posters plus postcards (OR 2.03, 95% CI 1.86 to 2.22); one trial (n = 1360) of chart review/feedback (OR 3.43, 95% CI 2.37 to 4.97) and one trial (n = 27,580) of educational outreach/feedback (OR 0.77, 95% CI 0.72 to 0.81). Trials of posters plus postcards versus posters (n = 5753), academic detailing (n = 1400) and increasing staff vaccination rates (n = 26,432) were non-significant. We did not pool the following trials due to considerable heterogeneity: reminding physicians (four trials, n = 202,264) and practice facilitators (three trials, n = 2183), although several trials showed the interventions were effective. Interventions at the societal level We identified no RCTs of interventions at the societal level. Authors' conclusions Authors' conclusions There are interventions that are effective for increasing community demand for vaccination, enhancing access and improving provider/system response. Heterogeneity limited pooling of trials. AU - Thomas, Roger E. AU - Lorenzetti, Diane L. DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD005188.pub3/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2014 ST - Interventions to increase influenza vaccination rates of those 60 years and older in the community T2 - Cochrane Database of Systematic Reviews TI - Interventions to increase influenza vaccination rates of those 60 years and older in the community UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD005188.pub3/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD005188.pub3/full Y2 - 2016/09/18/20:15:38 ID - 427 ER - TY - CHAP AB - Background Background Millions of workers worldwide are exposed to noise levels that increase their risk of hearing impairment. Little is known about the effectiveness of hearing loss prevention interventions. Objectives Objectives To assess the effectiveness of non-pharmaceutical interventions for preventing occupational noise exposure or occupational hearing loss compared to no intervention or alternative interventions. Search methods Search methods We searched the Cochrane Central Register of Controlled Trials (CENTRAL); PubMed; EMBASE; CINAHL; Web of Science; BIOSIS Previews; Cambridge Scientific Abstracts; and OSH update to 25 January 2012. Selection criteria Selection criteria We included randomised controlled trials (RCT), controlled before-after studies (CBA) and interrupted time-series (ITS) of non-clinical hearing loss prevention interventions under field conditions among workers exposed to noise. Data collection and analysis Data collection and analysis Two authors independently assessed study eligibility and risk of bias and extracted data. Main results Main results We included 25 studies. We found no controlled studies on engineering controls for noise exposure but one study evaluated legislation to reduce noise exposure in a 12-year time-series analysis. Eight studies with 3,430 participants evaluated immediate and long-term effects of personal hearing protection devices (HPDs) and sixteen studies with 82,794 participants evaluated short and long-term effects of hearing loss prevention programmes (HLPPs). The overall quality of studies was low to very low. The one ITS study that evaluated the effect of new legislation in reducing noise exposure found that the median noise level decreased by 27.7 dB(A) (95% confidence interval (CI) -36.1 to -19.3 dB) immediately after the implementation of stricter legislation and that this was associated with a favourable downward trend in time of -2.1 dB per year (95% CI -4.9 to 0.7). Hearing protection devices attenuated noise with about 20 dB(A) with variation among brands and types but for ear plugs these findings depended almost completely on proper instruction of insertion. Noise attenuation ratings of hearing protection under field conditions were consistently lower than the ratings provided by the manufacturers. One cluster-RCT compared a three-year information campaign as part of a hearing loss prevention programme for agricultural students to audiometry only with three and 16-year follow-up but there were no significant differences in hearing loss. Another study compared a HLPP, which provided regular personal noise exposure information, to a programme without this information in a CBA design. Exposure information was associated with a favourable but non-significant reduction of the rate of hearing loss of -0.82 dB per year (95% CI -1.86 to 0.22). Another cluster-RCT evaluated the effect of extensive on-site training sessions and the use of personal noise-level indicators versus information only on noise levels but did not find a significant difference after four months follow-up (Mean Difference (MD) -0.30 dB(A) (95%CI -3.95 to 3.35). There was very low quality evidence in four very long-term studies, that better use of HPDs as part of a HLPP decreased the risk of hearing loss compared to less well used hearing protection in HLPPs. Other aspects of the HLPP such as training and education of workers or engineering controls did not show a similar effect. In four long-term studies, workers in a HLPP still had a 0.5 dB greater hearing loss at 4 kHz than workers that were not exposed to noise (95% CI -0.5 to 1.7) which is about the level of hearing loss caused by exposure to 85 dB(A). In addition, two other studies showed substantial risk of hearing loss in spite of the protection of a HLPP compared to non-exposed workers. Authors' conclusions Authors' conclusions There is low quality evidence that implementation of stricter legislation can reduce noise levels in workplaces. Even though case studies show that substantial reductions in noise levels in the workplace can be achieved, there are no controlled studies of the effectiveness of such measures. The effectiveness of hearing protection devices depends on training and their proper use. There is very low quality evidence that the better use of hearing protection devices as part of HLPPs reduces the risk of hearing loss, whereas for other programme components of HLPPs we did not find such an effect. Better implementation and reinforcement of HLPPs is needed. Better evaluations of technical interventions and long-term effects are needed. AU - Verbeek, Jos H. AU - Kateman, Erik AU - Morata, Thais C. AU - Dreschler, Wouter A. AU - Mischke, Christina DP - Wiley Online Library LA - en PB - John Wiley & Sons, Ltd PY - 2012 ST - Interventions to prevent occupational noise-induced hearing loss T2 - Cochrane Database of Systematic Reviews TI - Interventions to prevent occupational noise-induced hearing loss UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006396.pub3/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006396.pub3/full Y2 - 2016/09/18/20:15:38 ID - 416 ER - TY - CHAP AB - Background Background Corruption is the abuse or complicity in abuse, of public or private position, power or authority to benefit oneself, a group, an organisation or others close to oneself; where the benefits may be financial, material or non-material. It is wide-spread in the health sector and represents a major problem. Objectives Objectives Our primary objective was to systematically summarise empirical evidence of the effects of strategies to reduce corruption in the health sector. Our secondary objective was to describe the range of strategies that have been tried and to guide future evaluations of promising strategies for which there is insufficient evidence. Search methods Search methods We searched 14 electronic databases up to January 2014, including: CENTRAL; MEDLINE; EMBASE; sociological, economic, political and other health databases; Human Resources Abstracts up to November 2010; Euroethics up to August 2015; and PubMed alerts from January 2014 to June 2016. We searched another 23 websites and online databases for grey literature up to August 2015, including the World Bank, the International Monetary Fund, the U4 Anti-Corruption Resource Centre, Transparency International, healthcare anti-fraud association websites and trial registries. We conducted citation searches in Science Citation Index and Google Scholar, and searched PubMed for related articles up to August 2015. We contacted corruption researchers in December 2015, and screened reference lists of articles up to May 2016. Selection criteria Selection criteria For the primary analysis, we included randomised trials, non-randomised trials, interrupted time series studies and controlled before-after studies that evaluated the effects of an intervention to reduce corruption in the health sector. For the secondary analysis, we included case studies that clearly described an intervention to reduce corruption in the health sector, addressed either our primary or secondary objective, and stated the methods that the study authors used to collect and analyse data. Data collection and analysis Data collection and analysis One review author extracted data from the included studies and a second review author checked the extracted data against the reports of the included studies. We undertook a structured synthesis of the findings. We constructed a results table and 'Summaries of findings' tables. We used the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to assess the certainty of the evidence. Main results Main results No studies met the inclusion criteria of the primary analysis. We included nine studies that met the inclusion criteria for the secondary analysis. One study found that a package of interventions coordinated by the US Department of Health and Human Services and Department of Justice recovered a large amount of money and resulted in hundreds of new cases and convictions each year (high certainty of the evidence). Another study from the USA found that establishment of an independent agency to investigate and enforce efforts against overbilling might lead to a small reduction in overbilling, but the certainty of this evidence was very low. A third study from India suggested that the impacts of coordinated efforts to reduce corruption through increased detection and enforcement are dependent on continued political support and that they can be limited by a dysfunctional judicial system (very low certainty of the evidence). One study in South Korea and two in the USA evaluated increased efforts to investigate and punish corruption in clinics and hospitals without establishing an independent agency to coordinate these efforts. It is unclear whether these were effective because the evidence is of very low certainty. One study from Kyrgyzstan suggested that increased transparency and accountability for co-payments together with reduction of incentives for demanding informal payments may reduce informal payments (low certainty of the evidence). One study from Germany suggested that guidelines that prohibit hospital doctors from accepting any form of benefits from the pharmaceutical industry may improve doctors’ attitudes about the influence of pharmaceutical companies on their choice of medicines (low certainty of the evidence). A study in the USA, evaluated the effects of introducing a law that required pharmaceutical companies to report the gifts they gave to healthcare workers. Another study in the USA evaluated the effects of a variety of internal control mechanisms used by community health centres to stop corruption. The effects of these strategies is unclear because the evidence was of very low certainty. Authors' conclusions Authors' conclusions There is a paucity of evidence regarding how best to reduce corruption. Promising interventions include improvements in the detection and punishment of corruption, especially efforts that are coordinated by an independent agency. Other promising interventions include guidelines that prohibit doctors from accepting benefits from the pharmaceutical industry, internal control practices in community health centres, and increased transparency and accountability for co-payments combined with reduced incentives for informal payments. The extent to which increased transparency alone reduces corruption is uncertain. There is a need to monitor and evaluate the impacts of all interventions to reduce corruption, including their potential adverse effects. AU - Gaitonde, Rakhal AU - Oxman, Andrew D. AU - Okebukola, Peter O. AU - Rada, Gabriel DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD008856.pub2/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2016 ST - Interventions to reduce corruption in the health sector T2 - Cochrane Database of Systematic Reviews TI - Interventions to reduce corruption in the health sector UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD008856.pub2/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD008856.pub2/full Y2 - 2016/09/18/20:15:38 ID - 435 ER - TY - JOUR AB - The increase in authorship of nuclear physics publications has been investigated using the large statistical samples. Large collections of bibliographical metadata represent a very powerful tool for understanding of the past, present, and, perhaps, future research trends. This has been accomplished with nuclear data mining of nuclear science references and the experimental nuclear reaction databases. The data analysis shows a strong anticorrelation between authorship increase of experimental papers and overall reduction of measurements due to closures of many small nuclear physics facilities. These findings suggest that article authorship is a very complex phenomenon, and presently-observed increase or inflation in authorship could be explained by the adaptation to the changing research environment, in addition to the evolving authorship rules that progressed over the years from very strict to lenient. The results of this study and their implications are discussed and conclusions presented. AU - Pritychenko, B. DA - 2015/12// DO - 10.1007/s11192-015-1605-7 IS - 3 J2 - Scientometrics KW - bibliographic systems data analysis meta data Nuclear physics Publishing relational databases PY - 2015 SN - 0138-9130 SP - 1781-6 ST - Intriguing trends in nuclear physics authorship T2 - Scientometrics TI - Intriguing trends in nuclear physics authorship UR - http://dx.doi.org/10.1007/s11192-015-1605-7 VL - 105 ID - 1249 ER - TY - BLOG AB - Guest post by Christopher Johnson from www.codeitmagazine.com One of the most powerful aspects of using R is that you can download free packages for so many tools and types of analysis. Text analy… DA - 2016/01/23/T11:13:40+00:00 PY - 2016 ST - Intro to Text Analysis with R T2 - R-bloggers TI - Intro to Text Analysis with R UR - http://www.r-bloggers.com/intro-to-text-analysis-with-r/ https://www.r-bloggers.com/intro-to-text-analysis-with-r/ ID - 2524 ER - TY - BOOK AB - This timely, engaging book provides an overview of the nature, logic, diversity and process of undertaking systematic reviews as part of evidence informed decision making. A focused, accessible and technically up-to-date book, it covers the full breadth of approaches to reviews from statistical meta analysis to meta ethnography. It is ideal for anyone undertaking their own systematic review - providing all the necessary conceptual and technical background needed to make a good start on the process. The content is divided into five clear sections: • Approaches to reviewing • Getting started • Gathering and describing research • Appraising and synthesising data • Making use of reviews/models of research use. Easy to read and logically structured, this book is essential reading for anyone doing systematic reviews. David Gough is Professor of Evidence Informed Policy and Practice and Director of SSRU and its EPPI-Centre and Co-Editor of the journal Evidence & Policy. Sandy Oliver is Professor of Public Policy and Deputy Director of SSRU and its EPPI-Centre. James Thomas is Reader in Social Policy, Assistant Director of SSRU and Associate Direcctor of the EPPI-Centre. AU - Gough, David AU - Oliver, Sandy AU - Thomas, James DA - 2012/03/22/ DP - Google Books KW - Literary Criticism / Semiotics & Theory Social Science / Research LA - en PB - SAGE PY - 2012 SN - 978-1-4462-5870-5 SP - 305 ST - An Introduction to Systematic Reviews TI - An Introduction to Systematic Reviews UR - https://books.google.com/books?id=y1sCcjIZnA0C ID - 2476 ER - TY - JOUR AB - The ‘tm: Text Mining Package’ in the open source statistical software R has made text analysis techniques easily accessible to both novice and expert practitioners, providing useful ways of analyzing and understanding large, unstructured datasets. Such an approach can yield many benefits to information professionals, particularly those involved in text-heavy research projects. This article will discuss the functionality and possibilities of text mining, as well as the basic setup necessary for novice R users to employ the RStudio integrated development environment (IDE). Common use cases, such as analyzing a corpus of text documents or spreadsheet text data, will be covered, as well as the text mining tools for calculating term frequency, term correlations, clustering, creating wordclouds, and plotting. AU - Maceli, Monica DA - 2016/07/19/ DP - Code4Lib Journal IS - 33 PY - 2016 SN - 1940-5758 ST - Introduction to Text Mining with R for Information Professionals T2 - The Code4Lib Journal TI - Introduction to Text Mining with R for Information Professionals UR - http://journal.code4lib.org/articles/11626 Y2 - 2016/09/24/21:06:32 ID - 2532 ER - TY - JOUR AU - Patel, Ahmed AU - Taghavi, Mona AU - Bakhtiyari, Kaveh AU - JúNior, Joaquim Celestino DA - 2013 DP - Google Scholar IS - 1 L1 - http://kaveh.bakhtiyari.com/download/pub/2013-01-jnca-36-1-author.pdf PY - 2013 SP - 25-41 ST - An intrusion detection and prevention system in cloud computing T2 - Journal of network and computer applications TI - An intrusion detection and prevention system in cloud computing: A systematic review UR - http://www.sciencedirect.com/science/article/pii/S108480451200183X VL - 36 Y2 - 2016/09/24/16:04:32 ID - 2414 ER - TY - JOUR AB - A method for detecting intrusions through analyses of host behavior and behavior correlation is proposed. The method can efficiently find out the malicious software that is embedded with anomaly codes, and can be applied to behavior-based intrusion detection systems (IDS). By mining the characters of normal and anomaly behaviors of hosts, a way to build the Markov model of relationship of meta-behaviors and a method to detect intrusions are given. With them, the feasibility and scalability of the proposed method can be enhanced, and the store space can be reduced. The experimental results show that the loss-detection ratio, the error-detection ratio and the renew efficiency of the method are better than the existing methods, although it need more time to train datasets. AU - Wang, Yinglong AU - Li, Jingchun AU - Wang, Shaojie AU - Suo, Yanfeng AU - Liang, Li AU - Guo, Ruilong DA - 2012 DO - 10.3772/j.issn.1002-0470.2012.09.002 IS - 9 J2 - Gaojishu Tongxin/Chinese High Technology Letters KW - Computer crime Intrusion detection Markov processes N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 10020470 SP - 897-903 ST - An intrusion detection method for host systems based on behavior correlation T2 - Gaojishu Tongxin/Chinese High Technology Letters TI - An intrusion detection method for host systems based on behavior correlation UR - http://dx.doi.org/10.3772/j.issn.1002-0470.2012.09.002 VL - 22 ID - 944 ER - TY - JOUR AB - This article defines and describes the rich variety of research designs found in librarianship and informatics practice. Familiarity with the range of methods and the ability to make distinctions between those specific methods can enable authors to label their research reports correctly. The author has compiled an inventory of methods from a variety of disciplines, but with attention to the relevant applications of a methodology to the field of librarianship. Each entry in the inventory includes a definition and description for the particular research method. Some entries include references to resource material and examples. AU - Eldredge, J. D. DA - 2004/01// IS - 1 J2 - Journal of the Medical Library Association KW - data mining Health care INFORMATION science Libraries medical information systems research and development L1 - internal-pdf://2777064600/Eldredge-2004-Inventory of research methods fo.pdf PY - 2004 SN - 1536-5050 SP - 83-90 ST - Inventory of research methods for librarianship and informatics T2 - Journal of the Medical Library Association TI - Inventory of research methods for librarianship and informatics UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC314107/pdf/i0025-7338-092-01-0083.pdf VL - 92 ID - 1445 ER - TY - CONF AB - In the field of materials forming processes, the use of simulation coupled with optimization is a powerful numerical tool to support design in industry and research. The finite element software Forge, a reference in the field of the two-dimensional and three-dimensional simulation of forging processes, has been coupled to an automatic optimization engine. The optimization method is based on meta-model assisted evolutionary algorithm. It allows solving complex optimization problems quickly. This paper is dedicated to a specific application of optimization, inverse analysis. In a first stage, a range of reverse analysis applications are considered such as material rheological and tribological characterization, identification of heat transfer coefficients and, finally, the estimation of Time Temperature Transformation curves based on existing Continuous Cooling Transformation diagrams for steel quenching simulation. In a second part, a novel inverse analysis application is presented in the field of cold sheet forming, the identification of the material anisotropic constitutive parameters that allow matching with the final shape of the component after stamping. The advanced numerical methods used in this kind of complex simulations are described along with the obtained optimization results. This article shows that automatic optimization coupled with Forge can solve many inverse analysis problems and is a valuable tool for supporting development and design of metals forming processes. 2014 Trans Tech Publications, Switzerland. AU - Marie, S. AU - Ducloux, R. AU - Lasne, P. AU - Barlier, J. AU - Fourment, L. C3 - 17th Conference of the European Scientific Association on Material Forming, ESAFORM 2014, May 7, 2014 - May 9, 2014 DA - 2014 DO - 10.4028/www.scientific.net/KEM.611-612.1494 KW - Finite element method Germanium alloys Identification (control systems) inverse problems Optimization Stamping N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Trans Tech Publications Ltd PY - 2014 SN - 10139826 SP - 1494-1502 ST - Inverse analysis of forming processes based on FORGE environment T3 - Key Engineering Materials TI - Inverse analysis of forming processes based on FORGE environment UR - http://dx.doi.org/10.4028/www.scientific.net/KEM.611-612.1494 VL - 611-612 ID - 791 ER - TY - CHAP A2 - Chaovalitwongse, W. A2 - Pardalos, P. M. A2 - Xanthopoulos, P. AB - This chapter introduces a very simple analytic method for mining large numbers of brain imaging experiments to discover functional cooperation between regions. We then report some preliminary results of its application, illustrate some of the many future projects in which we expect the technique will be of considerable use (including a way to relate fMRI to EEG), and describe a research resource for investigating functional cooperation in the cortex that will be made publicly available through the lab web site. One significant finding is that differences between cognitive domains appear to be attributable more to differences in patterns of cooperation between brain regions, rather than to differences in which brain regions are used in each domain. This is not a result that is predicted by prevailing localization-based and modular accounts of the organization of the cortex. AU - Anderson, Michael L. AU - Brumbaugh, Joan AU - Suben, Aysu PY - 2010 SN - 978-0-387-88629-9 SP - 31-42 ST - Investigating Functional Cooperation in the Human Brain Using Simple Graph-Theoretic Methods T2 - Computational Neuroscienc E TI - Investigating Functional Cooperation in the Human Brain Using Simple Graph-Theoretic Methods VL - 38 ID - 2269 ER - TY - BOOK A3 - Bouca, D. A2 - Gafagnao, A. AB - Multi-agent systems (MAS) often deal with complex applications that require distributed problem solving. In many applications the individual and collective behaviour of the agents depends on the observed data from distributed sources. The field of Distributed Data Mining (DDM) deals with these challenges in analyzing distributed data and offers many algorithmic solutions to perform different data analysis and mining operations in a fundamentally distributed mariner that pays careful attention to the resource constraints. Since multi-agent systems are often distributed and agents have proactive and reactive features, combining DM with MAS for data intensive applications is therefore appealing. This Chapter discusses a number of research issues concerned with the use of Multi-Agent Systems for Data Mining (MADM), also known as agent-driven data mining. The Chapter also examines the issues affecting the design and implementation of a generic and extendible agent-based data mining framework. An Extendible Multi-Agent Data mining System (EMADS) Framework for integrating distributed data sources is presented. This framework achieves high-availability and high performance without compromising the data integrity and security. AU - Albashiri, Kamal Ali AU - Coenen, Frans AU - Leng, Paul DA - 2010 PY - 2010 SN - 978-1-60876-684-0 ST - AN INVESTIGATION INTO THE ISSUES OF MULTI-AGENT DATA MINING TI - AN INVESTIGATION INTO THE ISSUES OF MULTI-AGENT DATA MINING ID - 1992 ER - TY - JOUR AB - Although the amygdala complex is a brain area critical for human behavior, knowledge of its subspecialization is primarily derived from experiments in animals. We here employed methods for large-scale data mining to perform a connectivity-derived parcellation of the human amygdala based on whole-brain coactivation patterns computed for each seed voxel. Voxels within the histologically defined human amygdala were clustered into distinct groups based on their brain-wide coactivation maps. Using this approach, connectivity-based parcellation divided the amygdala into three distinct clusters that are highly consistent with earlier microstructural distinctions. Meta-analytic connectivity modelling then revealed the derived clusters' brain-wide connectivity patterns, while meta-data profiling allowed their functional characterization. These analyses revealed that the amygdala's laterobasal nuclei group was associated with coordinating high-level sensory input, whereas its centromedial nuclei group was linked to mediating attentional, vegetative, and motor responses. The often-neglected superficial nuclei group emerged as particularly sensitive to olfactory and probably social information processing. The results of this model-free approach support the concordance of structural, connectional, and functional organization in the human amygdala and point to the importance of acknowledging the heterogeneity of this region in neuroimaging research. AU - Bzdok, Danilo AU - Laird, Angela R. AU - Zilles, Karl AU - Fox, Peter T. AU - Eickhoff, Simon B. DA - 2013/12//undefined DO - 10.1002/hbm.22138 IS - 12 J2 - Hum Brain Mapp KW - *Brain Mapping amygdala Amygdala/*anatomy & histology/*physiology Behavior connectivity Databases, Factual/statistics & numerical data data mining Functional Laterality Humans Nerve Net/*physiology Neural Pathways/*physiology parcellation Social Cognition L1 - internal-pdf://2803342347/Bzdok-2013-An investigation of the structural.pdf LA - eng PY - 2013 SN - 1097-0193 1065-9471 SP - 3247-3266 ST - An investigation of the structural, connectional, and functional subspecialization in the human amygdala T2 - Human brain mapping TI - An investigation of the structural, connectional, and functional subspecialization in the human amygdala UR - http://onlinelibrary.wiley.com/store/10.1002/hbm.22138/asset/hbm22138.pdf?v=1&t=itiqoeca&s=38de26888956e5e4274fc6ae3d6a85ed14577e98 VL - 34 ID - 216 ER - TY - JOUR AB - BACKGROUND: Blood donation is associated with decreased iron stores in blood donors which may affect the development of physiological functions and overall health. Previous studies reported a wide variation in the prevalence of iron deficiency in this population (1% to 62%). So, we want to establish the prevalence of iron deficiency in blood donors from a systematic review of the literature. METHODS: Exhaustive and reproducible search of literature in 7 databases, based in a protocol for searching in 4 languages between 2001 to 2011 with inclusion and exclusion criteria and information extraction. The analysis was based on the calculation of frequencies and specific prevalence by sex and number of previous donations, with their respective confidence intervals in Excel and Epidat (3.0). RESULTS: A total of 16.979 donors, 5.096 regular, with 59% men. The prevalence of iron deficiency found was 13% (IC 95%: 12,4 to 13,4) with a range between 1% and 62%. Prevalence statistically higher was observed in women (19,56%) and repetitive donors (20,36%). CONCLUSION: We obtained iron deficiency prevalence in blood donors over higher risk groups like children, being higher in female and repetitive donors. That suggests the need to encouraged blood banks in the application of protocols designed to preserve healthy donors and this will result in an adequate blood supply. AU - Mantilla-Gutierrez, Carmen Yulieth AU - Cardona-Arias, Jaiberth Antonio DA - 2012/08//Jul- undefined DO - 10.4321/S1135-57272012000400004 IS - 4 J2 - Rev Esp Salud Publica KW - Adult Blood Donors/*statistics & numerical data Child Female Humans Iron/blood/*deficiency Male Sex Distribution LA - spa PY - 2012 SN - 2173-9110 1135-5727 SP - 357-369 ST - [Iron deficiency prevalence in blood donors: a systematic review, 2001-2011] T2 - Revista espanola de salud publica TI - [Iron deficiency prevalence in blood donors: a systematic review, 2001-2011] VL - 86 ID - 172 ER - TY - JOUR AB - The study objectives were: to mine the complete exome to identify putative rare single nucleotide variants (SNVs) associated with irritable bowel syndrome (IBS)-diarrhea (IBS-D) phenotype, to assess genes that regulate bile acids in IBS-D, and to explore univariate associations of SNVs with symptom phenotype and quantitative traits in an independent IBS cohort. Using principal components analysis, we identified two groups of IBS-D (n = 16) with increased fecal bile acids: rapid colonic transit or high bile acids synthesis. DNA was sequenced in depth, analyzing SNVs in bile acid genes (ASBT, FXR, OST alpha/beta, FGF19, FGFR4, KLB, SHP, CYP7A1, LRH-1, and FABP6). Exome findings were compared with those of 50 similar ethnicity controls. We assessed univariate associations of each SNV with quantitative traits and a principal components analysis and associations between SNVs in KLB and FGFR4 and symptom phenotype in 405 IBS, 228 controls and colonic transit in 70 IBS-D, 71 IBS-constipation. Mining the complete exome did not reveal significant associations with IBS-D over controls. There were 54 SNVs in 10 of 11 bile acid-regulating genes, with no SNVs in FGF19; 15 nonsynonymous SNVs were identified in similar proportions of IBS-D and controls. Variations in KLB (rs1015450, downstream) and FGFR4 [ rs434434 (intronic), rs1966265, and rs351855 (nonsynonymous)] were associated with colonic transit (rs1966265; P = 0.043), fecal bile acids (rs1015450; P = 0.064), and principal components analysis groups (all 3 FGFR4 SNVs; P < 0.05). In the 633-person cohort, FGFR4 rs434434 was associated with symptom phenotype (P = 0.027) and rs1966265 with 24-h colonic transit (P = 0.066). Thus exome sequencing identified additional variants in KLB and FGFR4 associated with bile acids or colonic transit in IBS-D. AU - Camilleri, Michael AU - Klee, Eric W. AU - Shin, Andrea AU - Carlson, Paula AU - Li, Ying AU - Grover, Madhusudan AU - Zinsmeister, Alan R. DA - 2014/01// DO - 10.1152/ajpgi.00294.2013 IS - 1 L1 - internal-pdf://1722060049/Camilleri-2014-Irritable bowel syndrome-diarrh.pdf PY - 2014 SN - 0193-1857 SP - G13-G26 ST - Irritable bowel syndrome-diarrhea: characterization of genotype by exome sequencing, and phenotypes of bile acid synthesis and colonic transit T2 - American Journal of Physiology-Gastrointestinal and Liver Physiology TI - Irritable bowel syndrome-diarrhea: characterization of genotype by exome sequencing, and phenotypes of bile acid synthesis and colonic transit UR - http://ajpgi.physiology.org/content/ajpgi/306/1/G13.full.pdf VL - 306 ID - 2246 ER - TY - JOUR AB - The increasing use of clinical decision support systems (CDSS) to assist clinicians in decision-making is pushing the limits of information technology. The emergence of Electronic Health Records (EHR) coupled with enriched health information standards such as HL7 CDA, SNOMED, ICD-10 and LOINC have provided a rich environment for massive data collection and analysis by healthcare providers. This immense increase in data collection has also provided a gateway for the application of various data mining techniques on clinical datasets so as to measure health status (i.e. function, comfort and likelihood of dying) of patients. In measuring health status, many clinicians have opted to use CDSS to assist in decision-making and enhance clinical experience. However, even as the use of CDSS in clinicians' office continues to grow, the question that remains in the minds of many patients and the general public is whether it is appropriate, or ethical, for researchers to use health data collected for the purpose of direct patient care to develop computerized predictive decision support tool. In this paper, a systematic review is used to highlight the relevant technical barriers and ethical issues surrounding the secondary use of health data in developing CDSS. AU - Bonney, Wilfred DA - 2009 J2 - Stud Health Technol Inform KW - *Medical Records Systems, Computerized Decision Support Systems, Clinical/*organization & administration Humans Information Storage and Retrieval/*ethics Research Personnel/*ethics LA - eng PY - 2009 SN - 0926-9630 0926-9630 SP - 115-121 ST - Is it appropriate, or ethical, to use health data collected for the purpose of direct patient care to develop computerized predictive decision support tools? T2 - Studies in health technology and informatics TI - Is it appropriate, or ethical, to use health data collected for the purpose of direct patient care to develop computerized predictive decision support tools? VL - 143 ID - 358 ER - TY - CONF AB - Inductive learning searches an optimal hypothesis that minimizes a given loss function. It is usually assumed that the simplest hypothesis that fits the data is the best approximate to an optimal hypothesis. Since finding the simplest hypothesis is NP-hard for most representations, we generally employ various heuristics to search its closest match. Computing these heuristics incurs significant cost, making learning inefficient and unscalable for large dataset. At the same time, it is still questionable if the simplest hypothesis is indeed the closest approximate to the optimal model. Recent success of combining multiple models, such as bagging, boosting and meta-learning, has greatly improved the accuracy of the simplest hypothesis, providing a strong argument against the optimality of the simplest hypothesis. However, computing these combined hypotheses incurs significantly higher cost. We first advert that as long as the error of a hypothesis on each example is within a range dictated by a given loss function, it can still be optimal. Contrary to common beliefs, we propose a completely random decision tree algorithm that achieves much higher accuracy than the single best hypothesis and is comparable to boosted or bagged multiple best hypotheses. The advantage of multiple random tree is its training efficiency as well as minimal memory requirement. AU - Fan, W. AU - Wang, H. AU - Yu, P. S. AU - Ma, S. C3 - Third IEEE International Conference on Data Mining, 19-22 Nov. 2003 DA - 2003 KW - Computational complexity data mining decision trees Heuristic programming learning by example optimisation very large databases PB - IEEE Comput. Soc. PY - 2003 SP - 51-8 ST - Is random model better? On its accuracy and efficiency T3 - Third IEEE International Conference on Data Mining TI - Is random model better? On its accuracy and efficiency ID - 1377 ER - TY - JOUR AB - The core of primary microbial electrochemical technologies (METs) is the ability of the electroactive microorganisms to interact with electrodes via extracellular electron transfer (EET), allowing wiring of current flow and microbial metabolism. Geobacter sulfurreducens and Shewanella oneidensis are the model organisms for understanding and engineering EET. Many other microorganisms are reported being electroactive but are often sparsely characterized. Based on a literature survey 94 species are ascribed as electroactive. Their apparent diversity raises questions on the natural importance and distribution of the EET capacity, that is, of the ecological niche of microbial electroactivity. To identify this potential niche the environmental preferences and natural habitat characteristics of all electroactive species were combined with their metabolic, growth and EET characteristics and an extensive meta-analysis performed. The results indicate that there is not a single ecological niche for electroactive microorganisms. Significantly more electroactive species presumably exist in nature as well as already existing strain collections but due to current cultivation techniques their EET potential is not leveraged. Thus, in the light of specific traits required for industrial application, microbial resource mining based on ecological knowledge bears a great potential for broadening the foundation of microbial electrochemistry as well as for future developments of primary METs. 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim AU - Koch, Christin AU - Harnisch, Falk DA - 2016 DO - 10.1002/celc.201600079 IS - 9 J2 - ChemElectroChem KW - Bacteria ecology Electrochemistry Electron transitions Fuel cells Metabolism Microorganisms L1 - internal-pdf://0680007057/Koch-2016-Is there a Specific Ecological Niche.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 21960216 SP - 1282-1295 ST - Is there a Specific Ecological Niche for Electroactive Microorganisms? T2 - ChemElectroChem TI - Is there a Specific Ecological Niche for Electroactive Microorganisms? UR - http://dx.doi.org/10.1002/celc.201600079 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/celc.201600079/asset/celc201600079.pdf?v=1&t=itiurffd&s=0ea11cf2775aea634611053a35cf9116e251f2ed VL - 3 ID - 835 ER - TY - JOUR AB - Recent evolutions in actuarial research have revealed the potential increased utility of machine learning and data-mining strategies to develop statistical models such as classification/decision-tree analysis and neural networks, which are said to mimic the decision-making of practitioners. The current article compares such actuarial modeling methods with a traditional logistic regression risk-assessment development approach. Utilizing a large purposive sample of Washington State offenders (N = 297,600), the current study examines and compares the predictive validity of the currently used Washington State Static Risk Assessment (SRA) instrument to classification tree analysis/random forest and neural network models. Overall findings varied, being dependent on the outcome of interest, with the best model for each method resulting in AUCs ranging from 0.732 to 0.762. Findings reveal some predictive performance improvements with advanced machine-learning methodologies, yet the logistic regression models demonstrate comparable predictive performance. The study concluded that while data-mining techniques hold potential for improvements over traditional methods, regression-based models demonstrate comparable, and often improved, prediction performance with noted parsimony and greater interpretability. AU - Hamilton, Zachary AU - Neuilly, Melanie-Angela AU - Lee, Stephen AU - Barnoski, Robert DA - 2015/06// DO - 10.1007/s11292-014-9221-8 IS - 2 PY - 2015 SN - 1573-3750 SP - 299-318 ST - Isolating modeling effects in offender risk assessment T2 - Journal of Experimental Criminology TI - Isolating modeling effects in offender risk assessment VL - 11 ID - 2115 ER - TY - CONF AU - Visa, Sofia AU - Ralescu, Anca C3 - Proceedings of the sixteen midwest artificial intelligence and cognitive science conference DA - 2005 DP - Google Scholar L1 - https://www.researchgate.net/profile/Anca_Ralescu/publication/228386653_Issues_in_mining_imbalanced_data_sets_-_A_review_paper/links/02e7e51cdc0c87d98f000000.pdf PB - sn PY - 2005 SP - 67-73 ST - Issues in mining imbalanced data sets-a review paper TI - Issues in mining imbalanced data sets-a review paper UR - https://www.researchgate.net/profile/Anca_Ralescu/publication/228386653_Issues_in_mining_imbalanced_data_sets_-_A_review_paper/links/02e7e51cdc0c87d98f000000.pdf VL - 2005 Y2 - 2016/09/24/15:39:54 ID - 2378 ER - TY - CONF AB - The proceedings contain 7 papers. The topics discussed include: challenges and recommendations for the design and conduct of global software engineering courses: a systematic review; educational data mining and learning analytics in programming: literature review and case studies; a global snapshot of computer science education in K-12 schools; concepts in K-9 computer science education; new horizons in the assessment of computer science at school and beyond: leveraging on the ViVA platform; multinational perspectives on information technology from academia and industry; and what's in a name? international interpretations of computing education terminology. C3 - 2015 Innovation and Technology in Computer Science Education Conference, ITiCSE-WGP 2015, July 4, 2015 - July 8, 2015 DA - 2015 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2015 SP - ACM-SIGCSE ST - ITiCSE-WGP 2015 - Proceedings of the 2015 ITiCSE Conference on Working Group Reports T3 - ITiCSE-WGP 2015 - Proceedings of the 2015 ITiCSE Conference on Working Group Reports TI - ITiCSE-WGP 2015 - Proceedings of the 2015 ITiCSE Conference on Working Group Reports ID - 591 ER - TY - JOUR AB - Named entity recognition is a task in which proper nouns and numerical information in a document are detected and classified into categories such as location names and person names. Named entity recognition plays an essential role in information extraction systems and question answering systems. One can use one's background knowledge on building handcrafted systems but maintenance of such systems requires expertise. Corpus-based statistical approaches require less human intervention when sufficient training data is available. In statistical approaches, however, it is often impossible to clarify causes of wrong answers. We propose a meta rule approach where rules are automatically generated from a training corpus, and then the rules are refined by decision tree learning. Our experiments show that its performance is comparable to the maximum entropy approach. By adding in-house training data, the proposed system outperformed the first ranked system in IREX. AU - Isozaki, H. DA - 2002/05// IS - 5 J2 - Transactions of the Information Processing Society of Japan KW - decision trees learning (artificial intelligence) Linguistics natural languages text analysis PY - 2002 SN - 0387-5806 SP - 1481-91 ST - Japanese named entity recognition based on meta rules and decision tree learning T2 - Transactions of the Information Processing Society of Japan TI - Japanese named entity recognition based on meta rules and decision tree learning VL - 43 ID - 1459 ER - TY - JOUR AB - Background: Current sequencing technologies give access to sequence information for genomes and metagenomes at a tremendous speed. Subsequent data processing is mainly performed by automatic pipelines provided by the sequencing centers. Although, standardised workflows are desirable and useful in many respects, rational data mining, comparative genomics, and especially the interpretation of the sequence information in the biological context, demands for intuitive, flexible, and extendable solutions. Results: The JCoast software tool was primarily designed to analyse and compare ( meta) genome sequences of prokaryotes. Based on a pre-computed GenDB database project, JCoast offers a flexible graphical user interface (GUI), as well as an application programming interface (API) that facilitates back-end data access. JCoast offers individual, cross genome-, and metagenome analysis, and assists the biologist in exploration of large and complex datasets. Conclusion: JCoast combines all functions required for the mining, annotation, and interpretation of ( meta) genomic data. The lightweight software solution allows the user to easily take advantage of advanced back-end database structures by providing a programming and graphical user interface to answer biological questions. JCoast is available at the project homepage. AU - Richter, Michael AU - Lombardot, Thierry AU - Kostadinov, Ivaylo AU - Kottmann, Renzo AU - Duhaime, Melissa Beth AU - Peplies, Joerg AU - Gloeckner, Frank Oliver DA - 2008/04/01/ DO - 10.1186/1471-2105-9-177 PY - 2008 SN - 1471-2105 SP - 177 ST - JCoast - A biologist-centric software tool for data mining and comparison of prokaryotic (meta) genomes T2 - Bmc Bioinformatics TI - JCoast - A biologist-centric software tool for data mining and comparison of prokaryotic (meta) genomes VL - 9 ID - 2038 ER - TY - CONF AB - jContractor is a purely library-based approach to supporting design-by-contract specifications such as preconditions, postconditions, class invariants, and recovery and exception handling in Java. jContractor uses an intuitive naming convention, and standard Java syntax to instrument Java classes and enforce design-by-contract constructs. The designer of a class specifies a contract by providing contract methods following jContractor naming conventions. jContractor uses Java reflection to synthesize an instrumented version of a Java class by incorporating code that enforces the present jContractor contract specifications. Programmers enable the run-time enforcement of contracts by either engaging the jContractor class loader or by explicitly instantiating objects using the jContractor object factory. Programmers can use exactly the same syntax for invoking methods and passing object references regardless of whether contracts are present or not. Since jContractor is purely library-based, it requires no special tools such as modified compilers, modified JVM, or pre-processors. AU - Karaorman, M. AU - Holzle, U. AU - Bruno, J. C3 - Proceedings of 2nd International Conference on Meta-Level Architectures and Reflection 1999, 19-21 July 1999 DA - 1999 KW - exception handling Java naming services object-oriented programming programming language semantics software libraries PB - Springer-Verlag PY - 1999 SP - 175-96 ST - jContractor: a reflective Java library to support design by contract T3 - Meta-Level Architectures and Reflection. Second International Conference, Reflection '99. Proceedings (Lecture Notes in Computer Science Vol.1616) TI - jContractor: a reflective Java library to support design by contract ID - 585 ER - TY - JOUR AB - MOTIVATION: Tremendous amount of omics data being accumulated poses a pressing challenge of meta-analyzing the heterogeneous data for mining new biological knowledge. Most existing methods deal with each gene independently, thus often resulting in high false positive rates in detecting differentially expressed genes (DEG). To our knowledge, no or little effort has been devoted to methods that consider dependence structures underlying transcriptomics data for DEG identification in meta-analysis context. RESULTS: This article proposes a new meta-analysis method for identification of DEGs based on joint non-negative matrix factorization (jNMFMA). We mathematically extend non-negative matrix factorization (NMF) to a joint version (jNMF), which is used to simultaneously decompose multiple transcriptomics data matrices into one common submatrix plus multiple individual submatrices. By the jNMF, the dependence structures underlying transcriptomics data can be interrogated and utilized, while the high-dimensional transcriptomics data are mapped into a low-dimensional space spanned by metagenes that represent hidden biological signals. jNMFMA finally identifies DEGs as genes that are associated with differentially expressed metagenes. The ability of extracting dependence structures makes jNMFMA more efficient and robust to identify DEGs in meta-analysis context. Furthermore, jNMFMA is also flexible to identify DEGs that are consistent among various types of omics data, e.g. gene expression and DNA methylation. Experimental results on both simulation data and real-world cancer data demonstrate the effectiveness of jNMFMA and its superior performance over other popular approaches. AVAILABILITY AND IMPLEMENTATION: R code for jNMFMA is available for non-commercial use via http://micblab.iim.ac.cn/Download/. CONTACT: hqwang@ustc.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. AU - Wang, Hong-Qiang AU - Zheng, Chun-Hou AU - Zhao, Xing-Ming DA - 2015/02/15/ DO - 10.1093/bioinformatics/btu679 IS - 4 J2 - Bioinformatics KW - *Algorithms *DNA Methylation *Gene Expression Regulation, Neoplastic *Gene Regulatory Networks Computer Simulation Gene Expression Profiling/*methods Humans Lung Neoplasms/genetics Meta-Analysis as Topic Oligonucleotide Array Sequence Analysis/*methods LA - eng PY - 2015 SN - 1367-4811 1367-4803 SP - 572-580 ST - jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data T2 - Bioinformatics (Oxford, England) TI - jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data VL - 31 ID - 6 ER - TY - JOUR AB - Clustering algorithms have regained momentum with recent popularity of data mining and knowledge discovery approaches. To obtain good clustering in reasonable amount of time, various meta-heuristic approaches and their hybridization, sometimes with K-Means technique, have been employed. A Kalman Filtering based heuristic approach called Heuristic Kalman Algorithm (HKA) has been proposed a few years ago, which may be used for optimizing an objective function in data/feature space. In this paper at first HKA is employed in partitional data clustering. Then an improved approach named HKA-K is proposed, which combines the benefits of global exploration of HKA and the fast convergence of K-Means method. Implemented and tested on several datasets from UCI machine learning repository, the results obtained by HKA-K were compared with other hybrid meta-heuristic clustering approaches. It is shown that HKA-K is atleast as good as and often better than the other compared algorithms. 2016 Elsevier Inc. AU - Pakrashi, Arjun AU - Chaudhuri, Bidyut B. DA - 2016 DO - 10.1016/j.ins.2016.07.057 J2 - Information Sciences KW - Algorithms artificial intelligence Cluster Analysis Clustering algorithms data handling data mining Heuristic algorithms Heuristic methods Kalman filters Learning systems Optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 00200255 SP - 704-717 ST - A Kalman filtering induced heuristic optimization based partitional data clustering T2 - Information Sciences TI - A Kalman filtering induced heuristic optimization based partitional data clustering UR - http://dx.doi.org/10.1016/j.ins.2016.07.057 VL - 369 ID - 1416 ER - TY - CONF AB - The proceedings contain 144 papers. The topics discussed include: randomization methods in data mining; open standards and cloud computing KDD-2009 panel report; regression-based latent factor models; frequent pattern mining with uncertain data; structured correspondence topic models for mining captioned figures in biological literature; name-ethnicity classification from open sources; detection of unique temporal segments by information theoretic meta-clustering; collusion-resistant anonymous data collection method; a viewpoint-based approach for interaction graph analysis; optimizing web traffic via the media scheduling problem; improving clustering stability with combinatorial MRFs; temporal mining for interactive workflow data analysis; mining for the most certain predictions from dyadic data; efficiently learning the accuracy of labeling sources for selective sampling; and analyzing patterns of user content generation in online social networks. C3 - 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '09, June 28, 2009 - July 1, 2009 DA - 2009 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2009 SP - ACM-SIGMOD; ACM SIGKDD ST - KDD '09: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - KDD '09: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ID - 1555 ER - TY - JOUR AB - Keratin protein is ubiquitous in most vertebrates and invertebrates, and has several important cellular and extracellular functions that are related to survival and protection. Keratin function has played a significant role in the natural selection of an organism. Hence, it acts as a marker of evolution. Much information about an organism and its evolution can therefore be obtained by investigating this important protein. In the present study, Keratin sequences were extracted from public data repositories and various important sequential, structural and physicochemical properties were computed and used for preparing the dataset. The dataset containing two classes, namely mammals (Class-1) and non-mammals (Class-0), was prepared, and rigorous classification analysis was performed. To reduce the complexity of the dataset containing 56 parameters and to achieve improved accuracy, feature selection was done using the t-statistic. The 20 best features (parameters) were selected for further classification analysis using computational algorithms which included SVM, KNN, Neural Network, Logistic regression, Meta-modeling, Tree Induction, Rule Induction, Discriminant analysis and Bayesian Modeling. Statistical methods were used to evaluate the output. Logistic regression was found to be the most effective algorithm for classification, with greater than 96% accuracy using a 10-fold cross validation analysis. KNN, SVM and Rule Induction algorithms also were found to be efficacious for classification. 2013 Elsevier Ltd. AU - Banerjee, Amit Kumar AU - Ravi, Vadlamani AU - Murty, U. S. N. AU - Shanbhag, Anirudh P. AU - Prasanna, V. Lakshmi DA - 2013 DO - 10.1016/j.compbiomed.2013.04.007 IS - 7 J2 - Computers in Biology and Medicine KW - artificial intelligence Biology data mining Discriminant Analysis Forestry Keratin Learning algorithms Learning systems Logistics Mammals Neural networks Regression Analysis Support Vector Machines L1 - internal-pdf://4022819576/Banerjee-2013-Keratin protein property based c.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 00104825 SP - 889-899 ST - Keratin protein property based classification of mammals and non-mammals using machine learning techniques T2 - Computers in Biology and Medicine TI - Keratin protein property based classification of mammals and non-mammals using machine learning techniques UR - http://dx.doi.org/10.1016/j.compbiomed.2013.04.007 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0010482513000966/1-s2.0-S0010482513000966-main.pdf?_tid=411c2134-832d-11e6-8a82-00000aab0f02&acdnat=1474814287_116600f7d3f93659c01513edebaed6a9 VL - 43 ID - 983 ER - TY - JOUR AB - In this paper, a population-based algorithm inspired by the kidney process in the human body is proposed. In this algorithm the solutions are filtered in a rate that is calculated based on the mean of objective functions of all solutions in the current population of each iteration. The filtered solutions as the better solutions are moved to filtered blood and the rest are transferred to waste representing the worse solutions. This is a simulation of the glomerular filtration process in the kidney. The waste solutions are reconsidered in the iterations if after applying a defined movement operator they satisfy the filtration rate, otherwise it is expelled from the waste solutions, simulating the reabsorption and excretion functions of the kidney. In addition, a solution assigned as better solution is secreted if it is not better than the worst solutions simulating the secreting process of blood in the kidney. After placement of all the solutions in the population, the best of them is ranked, the waste and filtered blood are merged to become a new population and the filtration rate is updated. Filtration provides the required exploitation while generating a new solution and reabsorption gives the necessary exploration for the algorithm. The algorithm is assessed by applying it on eight well-known benchmark test functions and compares the results with other algorithms in the literature. The performance of the proposed algorithm is better on seven out of eight test functions when it is compared with the most recent researches in literature. The proposed kidney-inspired algorithm is able to find the global optimum with less function evaluations on six out of eight test functions. A statistical analysis further confirms the ability of this algorithm to produce good-quality results. 2016 Elsevier B.V.. AU - Jaddi, Najmeh Sadat AU - Alvankarian, Jafar AU - Abdullah, Salwani DA - 2017 DO - 10.1016/j.cnsns.2016.06.006 J2 - Communications in Nonlinear Science and Numerical Simulation KW - Algorithms artificial intelligence Benchmarking Blood Filtration Iterative methods Optimization Quality Control Test facilities L1 - internal-pdf://0928682751/Jaddi-2017-Kidney-inspired algorithm for optim.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2017 SN - 10075704 SP - 358-369 ST - Kidney-inspired algorithm for optimization problems T2 - Communications in Nonlinear Science and Numerical Simulation TI - Kidney-inspired algorithm for optimization problems UR - http://dx.doi.org/10.1016/j.cnsns.2016.06.006 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1007570416302039/1-s2.0-S1007570416302039-main.pdf?_tid=a11a0d36-833b-11e6-a140-00000aab0f02&acdnat=1474820461_ef33932163c1f7194edfa8008adeb56e VL - 42 ID - 710 ER - TY - CONF AB - Big-data middle layer architecture is defined to perform the query analysis and the evaluation of the Big Data. This scheme is implemented on dynamic generated data section. The concept of Big Data concerns with a bulk of data presented in large volume with complicated architecture and with increasing data set. The data for such system can be taken from multiple sources and sometimes from independent sources. With the development of new cloud environment, centralized system, the use of Big Data is easily available to the end users so the criticality there exists in terms of fast retrieval of data from the system. To perform the analytical information retrieval from such data system there is the requirement of data driven model. Middle layer model is been presented to derive the valuable and predictive information from Big Data. The presented model will store the all aspects of data set in the form of Meta data so that the user query will be performed on the selective data set instead of whole data set. The association rule will be implemented on aviation data set. Use the Java swing as the front end and will use the oracle as the backend. 2015 IEEE. AU - Singh, Anju AU - Kaushik, Akhil C3 - 7th International Conference on Computational Intelligence and Communication Networks, CICN 2015, December 12, 2015 - December 14, 2015 DA - 2015 DO - 10.1109/CICN.2015.326 KW - artificial intelligence Big data data mining Data reduction Knowledge based systems Network architecture Search Engines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 918-923 ST - Knowledge Based Retrieval Scheme from Big Data for Aviation Industry T3 - Proceedings - 2015 International Conference on Computational Intelligence and Communication Networks, CICN 2015 TI - Knowledge Based Retrieval Scheme from Big Data for Aviation Industry UR - http://dx.doi.org/10.1109/CICN.2015.326 ID - 882 ER - TY - CONF AB - This research analyzes patterns of artifact generation and knowledge contribution of design science researchers based on a meta-analysis of contemporary work. We derive these analyses based on prior classifications of design science artifacts and knowledge outcomes. Our analyses reveal a complex picture of what is produced and how by scholars in the design science community. The results allow us to characterize the evolution of design science research community, and point to possible gaps. We also show that empirical analyses of prior efforts are needed to complement the prescriptive work in the design science community. We hope that our findings will provide the research community a platform to reflect on their own work, improve the ability of individual researchers to position and communicate their work, and point to possibilities for building a cumulative knowledge base. AU - Dwivedi, N. AU - Purao, S. AU - Straub, D. W. C3 - Advancing the Impact of Design Science: Moving from Theory to Practice. 9th International Conference, DESRIST 2014, 22-23 May 2014 DA - 2014 DO - 10.1007/978-3-319-06701-8_8 KW - data mining research and development PB - Springer International Publishing PY - 2014 SP - 115-31 ST - Knowledge contributions in design science research: A meta-analysis T3 - Advancing the Impact of Design Science: Moving from Theory to Practice. 9th International Conference, DESRIST 2014. Proceedings: LNCS 8463 TI - Knowledge contributions in design science research: A meta-analysis UR - http://dx.doi.org/10.1007/978-3-319-06701-8_8 ID - 1786 ER - TY - JOUR AB - This paper describes the use of data mining tools for predicting the non-linear layer moduli of asphalt road pavement structures based on the deflection profiles obtained from non-destructive deflection testing. The deflected shape of the pavement under vehicular loading is predominantly a function of the thickness of the pavement layers, the moduli of individual layers, and the magnitude of the load. The process of inverse analysis, more commonly referred to as backcalculation, is used to estimate the elastic (Young's) moduli of individual pavement layers based upon surface deflections. A comprehensive synthetic database of pavement response solutions was generated using an advanced non-linear pavement finite-element program. To overcome the limitations associated with conventional pavement moduli backcalculation, data mining tools such as support vector machines, neural networks, decision trees, and meta-algorithms like bagging were used to conduct asphalt pavement inverse analysis. The results successfully demonstrated the utility of such data mining tools for real-time non-destructive pavement analysis. 2013 Copyright Vilnius Gediminas Technical University (VGTU) Press Technika. AU - Gopalakrishnan, Kasthurirangan AU - Agrawal, Ankit AU - Ceylan, Halil AU - Kim, Sunghwan AU - Choudhary, Alok DA - 2013 DO - 10.3846/16484142.2013.777941 IS - 1 J2 - Transport KW - Asphalt pavements data mining decision trees Loading Neural networks Roads and streets Statistical methods transportation N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 16484142 SP - 1-10 ST - Knowledge discovery and data mining in pavement inverse analysis T2 - Transport TI - Knowledge discovery and data mining in pavement inverse analysis UR - http://dx.doi.org/10.3846/16484142.2013.777941 VL - 28 ID - 1734 ER - TY - JOUR AB - This paper describes the use of data mining tools for predicting the non-linear layer moduli of asphalt road pavement structures based on the deflection profiles obtained from non-destructive deflection testing. The deflected shape of the pavement under vehicular loading is predominantly a function of the thickness of the pavement layers, the moduli of individual layers, and the magnitude of the load. The process of inverse analysis, more commonly referred to as 'backcalculation; is used to estimate the elastic (Young's) moduli of individual pavement layers based upon surface deflections. A comprehensive synthetic database of pavement response solutions was generated using an advanced non-linear pavement finite-element program. To overcome the limitations associated with conventional pavement moduli backcalculation, data mining tools such as support vector machines, neural networks, decision trees, and meta-algorithms like bagging were used to conduct asphalt pavement inverse analysis. The results successfully demonstrated the utility of such data mining tools for real-time non-destructive pavement analysis. AU - Gopalakrishnan, Kasthurirangan AU - Agrawal, Ankit AU - Ceylan, Halil AU - Kim, Sunghwan AU - Choudhary, Alok DA - 2013/03// DO - 10.3846/16484142.2013.777941 IS - 1 PY - 2013 SN - 1648-4142 SP - 1-10 ST - KNOWLEDGE DISCOVERY AND DATA MINING IN PAVEMENT INVERSE ANALYSIS T2 - Transport TI - KNOWLEDGE DISCOVERY AND DATA MINING IN PAVEMENT INVERSE ANALYSIS VL - 28 ID - 2009 ER - TY - CONF AB - A photograph captured by a digital camera usually includes camera metadata in which sensor readings, camera settings and other capture pipeline information are recorded. The camera metadata, typically stored in an EXIF header, contains a rich set of information reflecting the conditions under which the photograph was captured. This set of rich information can be potentially useful for improvement in digital photography but its multi-dimensionality and heterogeneous data structure make it difficult to be useful. Knowledge discovery, on the other hand, is usually associated with data mining to extract potentially useful information from complex data sets. In this paper we use a knowledge discovery framework based on data mining to automatically associate combinations of high-dimensional, heterogeneous metadata with scene types. In this way, we can perform very simple and efficient scene classification for certain types of photographs. We have also provided an interactive user interface in which a user can type in a query on metadata and the system will retrieve from our image database the images that satisfy the query and display them. We have used this approach to associate EXIF metadata with specific scene types like back-lit scenes, night scenes and snow scenes. To improve the classification results, we have combined an initial classification based only on the metadata with a simple, histogram based analysis for quick verification of the discovered knowledge. The classification results, in turn, can be used to better manage, assess, or enhance the photographs. AU - Yen, J. AU - Peng, Wu AU - Tretter, D. C3 - Multimedia Content Access: Algorithms and Systems, 31 Jan. 2007 DA - 2007 DO - 10.1117/12.702891 KW - data mining data structures image classification meta data photography User interfaces PB - SPIE - The International Society for Optical Engineering PY - 2007 SN - 0277-786X SP - 65060B-(11 pp.) ST - Knowledge discovery for better photographs T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE - Int. Soc. Opt. Eng. (USA) TI - Knowledge discovery for better photographs UR - http://dx.doi.org/10.1117/12.702891 VL - 6506 ID - 1336 ER - TY - JOUR AB - We describe a framework that allows a scientist-user to easily query for information across all Virtual Observatory (VO) repositories and pull it back for analysis. This framework hides the gory details of meta-data remediation and data formatting from the user, allowing them to get on with search, retrieval and analysis of VO data as if they were drawn from a single source using a science based terminology rather than a data-centric one. AU - Thomas, B. AU - Shaya, E. AU - Huang, Z. AU - Teuben, P. DA - 2015/02/23/ J2 - arXiv KW - astronomy computing data mining meta data query processing PY - 2015 SP - 4-pp. ST - Knowledge Discovery Framework for the Virtual Observatory [arXiv] T2 - arXiv TI - Knowledge Discovery Framework for the Virtual Observatory [arXiv] UR - http://arxiv.org/abs/1502.06501 ID - 1399 ER - TY - CONF AB - This paper presents new methods for knowledge extraction and visualization, applied to datasets selected from the astronomical literature. One of the objectives is to detect correlations between concepts extracted from the documents. Concepts are generally meta-information which may be defined a priori, or may be extracted from the document contents and are organised along domain ontologies or concept hierarchies. The study illustrated in the paper uses a data collection of about 10,000 articles extracted from the NASA ADS, corresponding to all publications for which at least one author is a French astronomer, for the years 1996 to 2000. The study presents new approaches for visualizing relationships between institutes, co-authorships, scientific domains, astronomical object types, etc. AU - Mothe, Josiane AU - Egret, Daniel AU - Chrisment, Claude AU - Englmeier, Kurt AU - Dkaki, Taoufiq AU - Lesteven, Soizick C3 - Astronomical data Analysis II, August 27, 2002 - August 28, 2002 DA - 2002 DO - 10.1117/12.460579 KW - Astronomy Database systems data mining Hierarchical systems information retrieval systems Knowledge based systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SPIE PY - 2002 SN - 0277786X SP - 246-253 ST - Knowledge discovery in bibliographic collections using concept hierarchies and visualization tools. Application to the astronomy domain T3 - Proceedings of SPIE - The International Society for Optical Engineering TI - Knowledge discovery in bibliographic collections using concept hierarchies and visualization tools. Application to the astronomy domain UR - http://dx.doi.org/10.1117/12.460579 VL - 4847 ID - 1203 ER - TY - CONF AB - Twitter is a breed of social networks that are playing a buoyant role in today's world communication. This paper is an attempt to apply knowledge discovery process on Twitter dataset comprising hashtags along with the visual analytic techniques whose purpose is to provide information to the people in such a way so that they understand concealed knowledge in the data effortlessly and meritoriously. We further analyze tweet text and metadata associated with each tweet for identification of useful patterns like "who talks to whom" and "how much". Our research reveals the impact of visualization and hierarchical clustering technique in analyzing similar groups of users. Further we investigate different social network measures that unveil the influence of users in the particular hashtags. AU - Mehmood, R. AU - Maurer, H. AU - Afzal, M. T. C3 - 2013 IEEE 9th International Conference on Emerging Technologies (ICET), 9-10 Dec. 2013 DA - 2013 DO - 10.1109/ICET.2013.6743538 KW - data mining data visualisation meta data pattern clustering Social networking (online) text analysis PB - IEEE PY - 2013 SP - 6-pp. ST - Knowledge discovery in hashtags# T3 - 2013 IEEE 9th International Conference on Emerging Technologies (ICET) TI - Knowledge discovery in hashtags# UR - http://dx.doi.org/10.1109/ICET.2013.6743538 ID - 1039 ER - TY - CONF AB - Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data.Therefore, it is more and more important to analyze a relationship between a document and topics assigned to the document. In this paper, we proposed a novel probabilistic generative model of documents with multiple topics as a meta-data. By focusing on modeling the generation process of a document with multiple topics, we can extract specific properties of documents with multiple topics.Proposed model is an expansion of an existing probabilistic generative model: Parametric Mixture Model (PMM). PMM models documents with multiple topics by mixing model parameters of each single topic. Since, however, PMM assigns the same mixture ratio to each single topic, PMM cannot take into account the bias of each topic within a document. To deal with this problem, we propose a model that considers Dirichlet distribution as a prior distribution of the mixture ratio.We adopt Variational Bayes Method to infer the bias of each topic within a document. We evaluate the proposed model and PMM using MEDLINE corpus.The results of F-measure, Precision and Recall show that the proposed model is more effective than PMM on multiple-topic classification. Moreover, we indicate the potential of the proposed model that extracts topics and document-specific keywords using information about the assigned topics. 2007 ACM. AU - Sato, Issei AU - Nakagawa, Hiroshi C3 - KDD-2007: 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 12, 2007 - August 15, 2007 DA - 2007 DO - 10.1145/1281192.1281256 KW - Cluster Analysis data mining information retrieval systems Metadata Probability Problem solving N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2007 SP - 590-598 ST - Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior UR - http://dx.doi.org/10.1145/1281192.1281256 ID - 918 ER - TY - JOUR AB - The process of knowledge discovery in databases consists of several steps that are iterative and interactive. In each application, to go through this process the user has to exploit different algorithms and their settings that usually yield multiple models. Model selection, that is, the selection of appropriate models or algorithms to achieve such models, requires meta-knowledge of algorithm/model and model performance metrics. Therefore, model selection is usually a difficult task for the user. We believe that simplifying the process of model selection for the user is crucial to the success of real-life knowledge discovery activities. As opposed to most related work that aims to automate model selection, in our view model selection is a semiautomatic process, requiring an effective collaboration between the user and the discovery system. For such a collaboration, our solution is to give the user the ability to try various alternatives and to compare competing models quantitatively by performance metrics, and qualitatively by effective visualization. This paper presents our research on model selection and visualization in the development of a knowledge discovery system called D2MS. The paper addresses the motivation of model selection in knowledge discovery and related work, gives an overview of D2MS, and describes its solution to model selection and visualization. It then presents the usefulness of D2MS model selection in two case studies of discovering medical knowledge in hospital data - on meningitis and stomach cancer - using three data mining methods of decision trees, conceptual clustering, and rule induction. AU - Ho, Tu Bao AU - Nguyen, Trong Dung AU - Shimodaira, Hiroshi AU - Kimura, Masayuki DA - 2003 DO - 10.1023/A:1023876925609 IS - 1-2 J2 - Applied Intelligence KW - Algorithms Database systems data structures Decision theory Iterative methods Knowledge based systems Mathematical models Regression Analysis visualization L1 - internal-pdf://1564003050/Ho-2003-A knowledge discovery system with supp.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2003 SN - 0924669X SP - 125-141 ST - A knowledge discovery system with support for model selection and visualization T2 - Applied Intelligence TI - A knowledge discovery system with support for model selection and visualization UR - http://dx.doi.org/10.1023/A:1023876925609 VL - 19 ID - 743 ER - TY - CHAP A2 - Astakhov, V. AB - Ever-increasing size of the biomedical literature makes more precise information retrieval and tapping into implicit knowledge in scientific literature a necessity. In this chapter, first, three new variants of the expectation-maximization (EM) method for semisupervised document classification (Machine Learning 39:103-134, 2000) arc introduced to refine biomedical literature meta-searches. The retrieval performance of a multi-mixture per class EM variant with Agglomerative Information Bottleneck clustering (Slonim and Tishby (1999) Agglomerative information bottleneck. In Proceedings of NIPS-12) using Davies-Bouldin cluster validity index (IEEE Transactions on Pattern Analysis and Machine Intelligence 1:224-227, 1979), rivaled the state-of-the-art transductive support vector machines (TSVM) (Joachims (1999) Transductive inference for text classification Using support vector machines. In Proccedings of the International Conference on Machine Learning (ICML)). Moreover, the multi-mixture per class EM variant refined search results more quickly with more than one order of magnitude improvement in execution time compared with TSVM. A second tool, CRFNER, uses conditional random fields (Lafferty et al. (2001) Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML-2001) to recognize 15 types of named entities from schizophrenia abstracts outperforming ABNER (Settles (2004) Biomedical named entity recognition using conditional random fields and rich feature sets. In Proceedings of COLING 2004 International Joint Workshop on Natural Language Processing in Biomedicine and its Applications (NLPBA)) in biological named entity recognition and reaching F-1 performance of 82.5% on the second set of named entities. AU - Oezyurt, I. Burak AU - Brown, Gregory G. PY - 2009 SN - 978-1-934115-63-3 SP - 173-196 ST - Knowledge Discovery via Machine Learning for Neurodegenerative Disease Researchers T2 - Biomedical Informatics TI - Knowledge Discovery via Machine Learning for Neurodegenerative Disease Researchers VL - 569 ID - 2071 ER - TY - JOUR AB - If it is to qualify as knowledge, a learner's output should be accurate, stable and comprehensible. Learning multiple models can improve significantly on the accuracy and stability of single models, but at the cost of losing their comprehensibility (when they possess it, as do, for example, simple decision trees and rule sets). This article proposes and evaluates CMM, a meta-learner that seeks to retain most of the accuracy gains of multiple model approaches, while still producing a single comprehensible model. CMM is based on reapplying the base learner to recover the frontiers implicit in the multiple model ensemble. This is done by giving the base learner a new training set, composed of a large number of examples generated and classified according to the ensemble, plus the original examples. CMM is evaluated using C4.5 RULES as the base learner, and bagging as the multiple-model methodology. On 26 benchmark datasets, CMM retains on average 60% of the accuracy gains obtained by bagging relative to a single run of C4.5 RULES, while producing a rule set whose complexity is typically a small multiple (2-6) of C4.5 RULESs, and also improving stability. Further studies show that accuracy and complexity can be traded off by varying the number of artificial examples generated. AU - Domimgos, P. DA - 1998/08// IS - 3 J2 - Intelligent Data Analysis KW - data mining deductive databases learning by example PY - 1998 SN - 1088-467X ST - Knowledge discovery via multiple models T2 - Intelligent Data Analysis TI - Knowledge discovery via multiple models VL - 2 ID - 1394 ER - TY - JOUR AU - Shaw, Michael J. AU - Subramaniam, Chandrasekar AU - Tan, Gek Woo AU - Welge, Michael E. DA - 2001 DP - Google Scholar IS - 1 L1 - http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.87.1196&rep=rep1&type=pdf PY - 2001 SP - 127-137 ST - Knowledge management and data mining for marketing T2 - Decision support systems TI - Knowledge management and data mining for marketing UR - http://www.sciencedirect.com/science/article/pii/S0167923600001238 VL - 31 Y2 - 2016/09/24/16:07:56 ID - 2438 ER - TY - JOUR AB - Software engineering is knowledge-intensive work, and how to manage software engineering knowledge has received much attention. This systematic review identifies empirical studies of knowledge management initiatives in software engineering, and discusses the concepts studied, the major findings, and the research methods used. Seven hundred and sixty-two articles were identified, of which 68 were studies in an industry context. Of these, 29 were empirical studies and 39 reports of lessons learned. More than half of the empirical studies were case studies. The majority of empirical studies relate to technocratic and behavioural aspects of knowledge management, while there are few studies relating to economic, spatial and cartographic approaches. A finding reported across multiple papers was the need to not focus exclusively on explicit knowledge, but also consider tacit knowledge. We also describe implications for research and for practice. 2008 Elsevier B.V. All rights reserved. AU - Bjornson, Finn Olav AU - Dingsoyr, Torgeir DA - 2008 DO - 10.1016/j.infsof.2008.03.006 IS - 11 J2 - Information and Software Technology KW - Administrative data processing data mining Engineering research Industrial management Information Management INFORMATION science knowledge engineering Knowledge management Management Management information systems Management science Mapping software engineering Technology L1 - internal-pdf://1253207672/Bjornson-2008-Knowledge management in software.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2008 SN - 09505849 SP - 1055-1068 ST - Knowledge management in software engineering: A systematic review of studied concepts, findings and research methods used T2 - Information and Software Technology TI - Knowledge management in software engineering: A systematic review of studied concepts, findings and research methods used UR - http://dx.doi.org/10.1016/j.infsof.2008.03.006 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0950584908000487/1-s2.0-S0950584908000487-main.pdf?_tid=37ab6f14-832e-11e6-b6a6-00000aab0f27&acdnat=1474814700_04782c23044ad1cdbf6cee78dd4340be VL - 50 ID - 1558 ER - TY - CHAP A2 - Adlassnig, K. P. A2 - Blobel, B. A2 - Mantas, J. A2 - Masic, I. AB - Most countries have developed information systems to report drug adverse effects. However, as in other domains where systematic reviews are needed, there is little guidance on how systematic documentation of drug adverse effects should be performed. The objective of the VigiTermes project is to develop a platform to improve documentation of pharmacovigilance case reports for the pharmaceutical industry and regulatory authorities. In order to improve systematic reviews of adverse drug reactions, we developed a prototype that first reproduces and standardizes search strategies, then extracts information from the Medline abstracts which were retrieved and annotates them. The platform aims at providing transparent access and analysis tools to pharmacovigilance experts investigating relevance of safety signals related to drugs. The platform's architecture consists in the integration of two vendor tools ITM (R) and Luxid (R) and one academic web service for knowledge extraction from medical literature. Whereas a manual search performed by a pharmacovigilance expert retrieved 578 publications, the system proposed a list of 229 publications thus decreasing time required for review by 60%. Recall was 70% and additional developments are required in order to improve exhaustivity. AU - Amardeilh, Florence AU - Bousquet, Cedric AU - Guillemin-Lanne, Sylvie AU - Wiss-Thebault, Mathilde AU - Guillot, Laetitia AU - Delamarre, Denis AU - Lillo-Le Louet, Agnes AU - Burgun, Anita PY - 2009 SN - 978-1-60750-456-6 SP - 517-521 ST - A Knowledge Management Platform for Documentation of Case Reports in Pharmacovigilance T2 - Medical Informatics in a United and Healthy Europe TI - A Knowledge Management Platform for Documentation of Case Reports in Pharmacovigilance VL - 150 ID - 2063 ER - TY - JOUR AU - Chen, Hsinchun DA - 2001 DP - Google Scholar PY - 2001 ST - Knowledge management systems TI - Knowledge management systems: a text mining perspective UR - https://arizona.openrepository.com/arizona/handle/10150/106481 Y2 - 2016/09/24/15:36:22 ID - 2341 ER - TY - JOUR AU - Liao, Shu-hsien DA - 2003 DP - Google Scholar IS - 2 L1 - http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.461.7500&rep=rep1&type=pdf PY - 2003 SP - 155-164 ST - Knowledge management technologies and applications—literature review from 1995 to 2002 T2 - Expert systems with applications TI - Knowledge management technologies and applications—literature review from 1995 to 2002 UR - http://www.sciencedirect.com/science/article/pii/S0957417403000435 VL - 25 Y2 - 2016/09/24/16:07:56 ID - 2442 ER - TY - CHAP AU - Chen, Hsinchun AU - Fuller, Sherrilynne S. AU - Friedman, Carol AU - Hersh, William DP - Google Scholar PB - Springer PY - 2005 SP - 3-33 ST - Knowledge management, data mining, and text mining in medical informatics T2 - Medical Informatics TI - Knowledge management, data mining, and text mining in medical informatics UR - http://link.springer.com/10.1007/0-387-25739-X_1 Y2 - 2016/09/24/16:07:56 ID - 2440 ER - TY - CONF AB - Summary form only given. Knowledge science is a problem-oriented interdisciplinary field that takes as its subject the modeling of the knowledge creation process and its application, and carries out research in such disciplines as knowledge management, management of technology, support for the discovery, synthesis and creation of knowledge, and innovation theory with the aim of constructing a better knowledge-based society. This presentation considers what knowledge science should be, introducing a forthcoming book entitled Knowledge Science - Modeling the Knowledge Creation Process (Nakamori [1]) as well as the School of Knowledge Science at Japan Advanced Institute of Science and Technology, which is the first school established in the world to make knowledge a target of science. The first dean of the School was Professor Ikujiro Nonaka who is famous worldwide for his organizational knowledge creation model called the SECI spiral (Nonaka and Takeuchi [3]), which is in fact the key factor in establishing the School. The presentation also briefly introduces a methodology for knowledge synthesis called the theory of knowledge construction systems; its fundamental part was already published in Systems Research and Behavioral Science (Nakamori et al. [2]). AU - Nakamori, Y. C3 - Integrated Uncertainty in Knowledge Modelling and Decision Making. International Symposium (IUKM 2011), 28-30 Oct. 2011 DA - 2011 DO - 10.1007/978-3-642-24918-1_4 KW - data mining innovation management Knowledge based systems Knowledge management technology management PB - Springer-Verlag PY - 2011 SP - 18 ST - Knowledge Science - Modeling the Knowledge Creation Process T3 - Integrated Uncertainty in Knowledge Modelling and Decision Making. Proceedings International Symposium (IUKM 2011) TI - Knowledge Science - Modeling the Knowledge Creation Process UR - http://dx.doi.org/10.1007/978-3-642-24918-1_4 ID - 707 ER - TY - JOUR AB - Identifying relationships between concepts is a key aspect of scientific knowledge synthesis. Finding these links often requires a researcher to laboriously search through scien- tific papers and databases, as the size of these resources grows ever larger. In this paper we describe how distributional semantics can be used to unify structured knowledge graphs with unstructured text to predict new relationships between medical concepts, using a probabilistic generative model. Our approach is also designed to ameliorate data sparsity and scarcity issues in the medical domain, which make language modelling more challenging. Specifically, we integrate the medical relational database (SemMedDB) with text from electronic health records (EHRs) to perform knowledge graph completion. We further demonstrate the ability of our model to predict relationships between tokens not appearing in the relational database. AU - Hyland, S. L. AU - Karaletsos, T. AU - Ratsch, G. DA - 2016/02/10/ J2 - arXiv KW - data mining electronic health records Graph theory Probability relational databases text analysis PY - 2016 SP - 6-pp. ST - Knowledge Transfer with Medical Language Embeddings [arXiv] T2 - arXiv TI - Knowledge Transfer with Medical Language Embeddings [arXiv] UR - http://arxiv.org/abs/1602.03551 ID - 723 ER - TY - CONF AB - Integration of the bibliographical information of scholarly publications available on the Internet is an important task in academic research. To accomplish this task, accurate reference metadata extraction for scholarly publications is essential for the integration of information from heterogeneous reference sources. In this paper, we propose a knowledge-based approach to literature mining and focus on reference metadata extraction methods for scholarly publications. We adopt an ontological knowledge representation framework called INFOMAP to automatically extract the reference metadata. The experimental results show that, by using INFOMAP, we can extract author, title, journal, volume, number (issue), year, and page information from different reference styles with a high degree of accuracy. The overall average field accuracy of citation extraction for a bioinformatics dataset is 97.87% for six reference styles. AU - Min-Yuh, Day AU - Tzong-Han, Tsai AU - Cheng-Lung, Sung AU - Cheng-Wei, Lee AU - Shih-Hung, Wu AU - Chorng-Shyong, Ong AU - Wen-Lian, Hsu C3 - Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, 15-17 Aug. 2005 DA - 2005 KW - Bibliographies Citation Analysis data mining Electronic publishing information retrieval Internet literature meta data ontologies (artificial intelligence) PB - IEEE PY - 2005 SP - 50-5 ST - A knowledge-based approach to citation extraction T3 - Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration (IEEE Cat. No. 05EX1058) TI - A knowledge-based approach to citation extraction ID - 1152 ER - TY - CONF AB - We describe an architecture for building speech-enabled conversational agents, deployed as self-contained Web services, with ability to provide inference processing on very large knowledge bases and its application to voice enabled chatbots in a virtual storytelling environment. The architecture integrates inference engines, natural language pattern matching components and story-specific information extraction from RDF/XML files. Our Web interface is dynamically generated by server side agents supporting multi-modal interface components (speech and animation). Prolog refactorings of the WordNet lexical knowledge base, FrameNet and the Open Mind common sense knowledge repository are combined with internet meta-search to provide high-quality knowledge sources to our conversational agents. An example of conversational agent with speech capabilities is deployed on the Web at http://logic.csci.unt.edu:8080/ wordnet_agent/frame.html. The agent is also accessible for live multi-user text-based chat, through a Yahoo Instant Messeneger protocol adaptor, from wired or wireless devices, as the jinni_agent Yahoo IM "handle". AU - Tarau, Paul AU - Figa, Elizabeth C3 - Applied Computing 2004 - Proceedings of the 2004 ACM Symposium on Applied Computing, March 14, 2004 - March 17, 2004 DA - 2004 KW - Computer Science Database systems Knowledge based systems Logic programming Speech analysis World Wide Web XML N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2004 SP - 39-44 ST - Knowledge-based conversational agents and virtual storytelling T3 - Proceedings of the ACM Symposium on Applied Computing TI - Knowledge-based conversational agents and virtual storytelling VL - 1 ID - 572 ER - TY - CONF AB - Considering relational tables as the object of analysis, methods to summarize them can help the analyst to have a starting point to explore the data. Typically, table summarization aims at producing an informative data summary through the use of metadata supplied by attribute taxonomies. Nevertheless, such a hierarchical knowledge is not always available or may even be inadequate when existing. To overcome these limitations, we propose a new framework, named cTabSum, to automatically generate attribute value taxonomies and directly perform table summarization based on its own content. Our innovative approach considers a relational table as input and proceeds in a two-step way. First, a taxonomy for each attribute is extracted. Second, a new table summarization algorithm exploits the automatic generated taxonomies. An information theory measure is used to guide the summarization process. Associated with the new algorithm we also develop a prototype. Interestingly, our prototype incorporates some additional features to help the user familiarizing with the data: (i) the resulting summarized table produced by cTabSum can be used as recommended starting point to browse the data; (ii) some very easy-to-understand charts allow to visualize how taxonomies have been so built; (iii) finally, standard OLAP operators, i.e. drill-down and roll-up, have been implemented to easily navigate within the data set. In addition we also supply an objective evaluation of our table summarization strategy over real data. AU - Ienco, D. AU - Pitarch, Y. AU - Poncelet, P. AU - Teisseire, M. C3 - Data Warehousing and Knowledge Discovery. 15th International Conference (DaWaK 2013), 26-29 Aug. 2013 DA - 2013 DO - 10.1007/978-3-642-40131-2_11 KW - data mining meta data PB - Springer-Verlag PY - 2013 SP - 122-33 ST - Knowledge-Free Table Summarization T3 - Data Warehousing and Knowledge Discovery. 15th International Conference (DaWaK 2013). Proceedings: LNCS 8057 TI - Knowledge-Free Table Summarization UR - http://dx.doi.org/10.1007/978-3-642-40131-2_11 ID - 1258 ER - TY - JOUR AB - The methods using the best estimate codes are now applied in safety demonstration for nuclear power plants (NPP) to evaluate uncertainties of the relevant output parameters. Towards this objective, it is useful to further analyse the outputs, for example, to learn more about sensitivity to input parameters. In addition, this first analysis can be used to assess uncertainty. Such an analysis is difficult to obtain using the code itself because it is quite time-consuming. One approach, called response surface methodology, consists in replacing the code by a simpler model, estimated with few runs. Linear regression is often used. In this paper, we propose kriging as introduced by Sacks et al. (Technometrics 1989; 31:41-47; Stat. Sci. 1989; 4(4):409-435) as an alternative. Kriging was applied to the Loss-of-Fluid Test (LOFT) loss of coolant experiment L2-5, which was the subject of the former ISP 13 and the ongoing BEMUSE (ISP: International Standard Problem. BEMUSE: Best-Estimate Methods-Uncertainty and Sensitivity Evaluation) international problem. The output is the second maximum peak cladding temperature (PCT) of the fuel. The best estimate code used is CATHARE2 V1.3L. We observe that kriging is more flexible and can handle irregularities. As a result, it gives more accurate predictions. In addition, sensitivity analysis is provided. This method offers complementary information and constructs a response surface more accurately, with a more realistic evaluation of risk. Copyright 2009 John Wiley Sons, Ltd. AU - Roustant, Olivier AU - Joucla, Jerome AU - Probst, Pierre DA - 2010 DO - 10.1002/asmb.800 IS - 5 J2 - Applied Stochastic Models in Business and Industry KW - Experiments Interpolation Nuclear power plants Risks Sensitivity analysis Surface properties Uncertainty analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2010 SN - 15241904 SP - 565-576 ST - Kriging as an alternative for a more precise analysis of output parameters in nuclear safety - Large break LOCA calculation T2 - Applied Stochastic Models in Business and Industry TI - Kriging as an alternative for a more precise analysis of output parameters in nuclear safety - Large break LOCA calculation UR - http://dx.doi.org/10.1002/asmb.800 VL - 26 ID - 1340 ER - TY - JOUR AB - Low-energy building design is constrained not only by the total cost but also by both the energy demand and the comfort requirements. However, the evaluation of these criteria may require the implementation of time-consuming tasks, such as the direct building thermal simulation, which leads to difficulties in the design process. Moreover, it is of interest in this field to provide the designer with a large range of acceptable solutions rather than some unique optimal design. In this article, the application of an efficient global optimization approach is proposed as a tool to analyse the response functions of a building design problem. The method is based on a Kriging metamodel, which provides the global prediction of the objective and constraint functions, and an evaluation of uncertainty of the prediction at each point. The criterion for the infill sample selection is a generalized expected improvement function with desirable properties for stochastic responses. This criterion is maximized according to different constraints. First, inexpensive constraints are used as boundary constraints. Then, the expected violation criterion is used as a penalty. We use a particle swarm optimization algorithm to maximize the infill sample criterion according to the constraints. This approach is shown to be efficient for the building design problem, since the optimization is performed with an important reduction of the number of objective and constraint function calls. The Kriging metamodel is used to evaluate the sensitivity and the possible range of variations of the design parameters near their optimal values. 2012 Copyright Taylor and Francis Group, LLC. AU - Gengembre, E. AU - Ladevie, B. AU - Fudym, O. AU - Thuillier, A. DA - 2012 DO - 10.1080/17415977.2012.727084 IS - 7 J2 - Inverse Problems in Science and Engineering KW - Algorithms Architectural design Energy management Function evaluation Interpolation Mathematical models Optimal systems Particle swarm optimization (PSO) Sensitivity analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 17415977 SP - 1101-1114 ST - A Kriging constrained efficient global optimization approach applied to low-energy building design problems T2 - Inverse Problems in Science and Engineering TI - A Kriging constrained efficient global optimization approach applied to low-energy building design problems UR - http://dx.doi.org/10.1080/17415977.2012.727084 VL - 20 ID - 939 ER - TY - JOUR AB - KStore is a computer data structure based on the Phaneron of C. S. Peirce (Peirce, 1931-1958). This structure, called a Knowledge Store, KStore or simply K, is currently being developed as a storage engine to support BI data queries and analysis (Mazzagatti, 2007). The first Ks being constructed handle nominal data and record sequences of field/record data variables and their relationships. These rudimentary Ks are dynamic allowing real-time data processing, ad hoc queries and data compression, to facilitate data mining. This paper describes a next step in the development of the K structure, to record into the K structure, meta data associated with the field/record data, in particular the column or dimension names and a source indicator. Copyright 2009 IGI Global. AU - Mazzagatti, Jane Campbell DA - 2009 DO - 10.4018/jiit.2009040105 IS - 2 J2 - International Journal of Intelligent Information Technologies KW - artificial intelligence Bismuth Competitive intelligence Data compression data handling data mining data structures Digital storage Engines Potassium Virtual storage N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 15483657 SP - 68-80 ST - KStore: A dynamic meta-knowledge repository for intelligent BI T2 - International Journal of Intelligent Information Technologies TI - KStore: A dynamic meta-knowledge repository for intelligent BI UR - http://dx.doi.org/10.4018/jiit.2009040105 VL - 5 ID - 1575 ER - TY - JOUR AB - Landfills have historically been seen as the ultimate solution for storing waste at minimum cost. It is now a well-known fact that such deposits have related implications such as long-term methane emissions, local pollution concerns, settling issues and limitations on urban development. Landfill mining has been suggested as a strategy to address such problems, and in principle means the excavation, processing, treatment and/or recycling of deposited materials. This study involves a literature review on landfill mining covering a meta-analysis of the main trends, objectives, topics and findings in 39 research papers published during the period 1988-2008. The results show that, so far, landfill mining has primarily been seen as a way to solve traditional management issues related to landfills such as lack of landfill space and local pollution concerns. Although most initiatives have involved some recovery of deposited resources, mainly cover soil and in some cases waste fuel, recycling efforts have often been largely secondary. Typically, simple soil excavation and screening equipment have therefore been applied, often demonstrating moderate performance in obtaining marketable recyclables. Several worldwide changes and recent research findings indicate the emergence of a new perspective on landfills as reservoirs for resource extraction. Although the potential of this approach appears significant, it is argued that facilitating implementation involves a number of research challenges in terms of technology innovation, clarifying the conditions for realization and developing standardized frameworks for evaluating economic and environmental performance from a systems perspective. In order to address these challenges, a combination of applied and theoretical research is required. 2011 Elsevier Ltd. AU - Krook, Joakim AU - Svensson, Niclas AU - Eklund, Mats DA - 2012 DO - 10.1016/j.wasman.2011.10.015 IS - 3 J2 - Waste Management KW - Deposits Environmental management Excavation Innovation Land fill Methane Pollution Recycling Remediation Research Secondary recovery L1 - internal-pdf://3465624657/Krook-2012-Landfill mining_ A critical review.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 0956053X SP - 513-520 ST - Landfill mining: A critical review of two decades of research T2 - Waste Management TI - Landfill mining: A critical review of two decades of research UR - http://dx.doi.org/10.1016/j.wasman.2011.10.015 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0956053X11004740/1-s2.0-S0956053X11004740-main.pdf?_tid=939f784a-833f-11e6-acfc-00000aab0f6c&acdnat=1474822156_58382ffbd109b51f6f86ff51ad0b5a8f VL - 32 ID - 1620 ER - TY - CONF AB - In this paper, QuickBird high resolution satellite image data, combined with the prior landuse maps, the landuse major planning map and other basic datum was adopted to extract landuse information of Nanchang Hi-Tech Industrial Development Area through the human-computer interaction approach, and the results were verified by plot in field to do meta-analysis. The results show that the multi-information method can objectively and accurately reflect the landuse types, structure and the degree of utilization in development area, and provide timely, accurate and detailed basic information for analysis of intensive landuse situation of national development area for the national macro-control. AU - Meng, Shuying AU - Chen, Long AU - Zhao, Peng AU - Zhang, Dunfang AU - Wang, Yajuan C3 - 2009 Joint Urban Remote Sensing Event, 20-22 May 2009 DA - 2009 DO - 10.1109/URS.2009.5137712 KW - feature extraction Geographic information systems geophysics computing Human computer interaction image classification land use planning PB - IEEE PY - 2009 SP - 5-pp. ST - Landuse status investigation and analysis by multi-information technology for the development area T3 - 2009 Joint Urban Remote Sensing Event TI - Landuse status investigation and analysis by multi-information technology for the development area UR - http://dx.doi.org/10.1109/URS.2009.5137712 ID - 1539 ER - TY - JOUR AB - This paper presents the linguistic analysis tools and its infrastructure developed within the XLike project. The main goal of the implemented tools is to provide a set of functionalities for supporting some of the main objectives of XLike, such as enabling cross-lingual services for publishers, media monitoring or developing new business intelligence applications. The services cover seven major and minor languages: English, German, Spanish, Chinese, Catalan, Slovenian, and Croatian. These analyzers are provided as web services following a lightweight SOA architecture approach, and they are publically callable and are catalogued in META-SHARE. AU - Padro, Lluis AU - Agic, Zeljko AU - Carreras, Xavier AU - Fortuna, Blaz AU - Garcia-Cuesta, Esteban AU - Li, Zhixing AU - Stajner, Tadej AU - Tadic, Marko DA - 2014 PY - 2014 SP - 3811-3816 ST - Language Processing Infrastructure in the XLike Project T2 - Lrec 2014 - Ninth International Conference on Language Resources and Evaluation TI - Language Processing Infrastructure in the XLike Project ID - 2089 ER - TY - JOUR AB - The rapid growth of the literature on neuroimaging in humans has led to major advances in our understanding of human brain function but has also made it increasingly difficult to aggregate and synthesize neuroimaging findings. Here we describe and validate an automated brain-mapping framework that uses text-mining, meta-analysis and machine-learning techniques to generate a large database of mappings between neural and cognitive states. We show that our approach can be used to automatically conduct large-scale, high-quality neuroimaging meta-analyses, address long-standing inferential problems in the neuroimaging literature and support accurate 'decoding' of broad cognitive states from brain activity in both entire studies and individual human subjects. Collectively, our results have validated a powerful and generative framework for synthesizing human neuroimaging data on an unprecedented scale. AU - Yarkoni, Tal AU - Poldrack, Russell A. AU - Nichols, Thomas E. AU - Van Essen, David C. AU - Wager, Tor D. DA - 2011/08//undefined DO - 10.1038/nmeth.1635 IS - 8 J2 - Nat Methods KW - *Natural Language Processing *Periodicals as Topic *Software Brain Mapping/*methods Brain/*physiology Data Mining/*methods Humans Internet Magnetic Resonance Imaging/*methods LA - eng PY - 2011 SN - 1548-7105 1548-7091 SP - 665-670 ST - Large-scale automated synthesis of human functional neuroimaging data T2 - Nature methods TI - Large-scale automated synthesis of human functional neuroimaging data VL - 8 ID - 115 ER - TY - CONF AB - Motivation: Although gene expression data has been continuously accumulated and meta-analysis approaches have been developed to integrate independent expression profiles into larger datasets, the amount of information is still insufficient to infer large scale genetic networks. In addition, global optimization such as Bayesian network inference, one of the most representative techniques for genetic network inference, requires tremendous computational load far beyond the capacity of moderate workstations. Results: MONET is a Cytoscape plugin to infer genome-scale networks from gene expression profiles. It alleviates the shortage of information by incorporating pre-existing annotations. The current version of MONET utilizes thousands of parallel computational cores in the supercomputing center in KISTI, Korea, to cope with the computational requirement for large scale genetic network inference. Availability: A cytoscape plugin is available at http://cytoscape.org and a web service is at http://delsol.kaist.ac.kr/monet/home. AU - Kim, Younghoon AU - Lee, Doheon AU - Cho, Yongseong AU - Lee, Sang Joo C3 - 3rd ACM International Workshop on Data and Text Mining in Bioinformatics, DTMBIO'09, Co-located with the 18th ACM International Conference on Information and Knowledge Management, CIKM 2009, November 2, 2009 - November 6, 2009 DA - 2009 DO - 10.1145/1651318.1651340 KW - Bayesian networks Bioactivity bioinformatics Biology Distributed parameter networks gene expression Global optimization Inference engines Intelligent networks Knowledge management N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2009 SP - 93-94 ST - A large-scale gene network inference system for systems biology on supercomputing resources T3 - International Conference on Information and Knowledge Management, Proceedings TI - A large-scale gene network inference system for systems biology on supercomputing resources UR - http://dx.doi.org/10.1145/1651318.1651340 http://dl.acm.org/citation.cfm?doid=1651318.1651340 ID - 1428 ER - TY - JOUR AB - Non-Hodgkin B-cell lymphoma (B-NHL) are aggressive lymphoid malignancies that develop in patients due to oncogenic activation, chemo-resistance, and immune evasion. Tumor biopsies show that B-NHL frequently uses several immune escape strategies, which has hindered the development of checkpoint blockade immunotherapies in these diseases. To gain a better understanding of B-NHL immune editing, we hypothesized that the transcriptional hallmarks of immune escape associated with these diseases could be identified from the meta-analysis of large series of microarrays from B-NHL biopsies. Thus, 1446 transcriptome microarrays from seven types of B-NHL were downloaded and assembled from 33 public Gene Expression Omnibus (GEO) datasets, and a method for scoring the transcriptional hallmarks in single samples was developed. This approach was validated by matching scores to phenotypic hallmarks of B-NHL such as proliferation, signaling, metabolic activity, and leucocyte infiltration. Through this method, we observed a significant enrichment of 33 immune escape genes in most diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) samples, with fewer in mantle cell lymphoma (MCL) and marginal zone lymphoma (MZL) samples. Comparing these gene expression patterns with overall survival data evidenced four stages of cancer immune editing in B-NHL: non-immunogenic tumors (stage 1), immunogenic tumors without immune escape (stage 2), immunogenic tumors with immune escape (stage 3), and fully immuno-edited tumors (stage 4). This model complements the standard international prognostic indices for B-NHL and proposes that immune escape stages 3 and 4 (76% of the FL and DLBCL samples in this data set) identify patients relevant for checkpoint blockade immunotherapies. AU - Tosolini, Marie AU - Algans, Christelle AU - Pont, Frederic AU - Ycart, Bernard AU - Fournie, Jean-Jacques DA - 2016/07//undefined DO - 10.1080/2162402X.2016.1188246 IS - 7 J2 - Oncoimmunology KW - data mining immune escape lymphoma LA - eng PY - 2016 SN - 2162-4011 2162-4011 SP - e1188246 ST - Large-scale microarray profiling reveals four stages of immune escape in non-Hodgkin lymphomas T2 - Oncoimmunology TI - Large-scale microarray profiling reveals four stages of immune escape in non-Hodgkin lymphomas VL - 5 ID - 194 ER - TY - JOUR AB - Proteomics data can supplement genome annotation efforts, for example being used to confirm gene models or correct gene annotation errors. Here, we present a large-scale proteogenomics study of two important apicomplexan pathogens: Toxoplasma gondii and Neospora caninum. We queried proteomics data against a panel of official and alternate gene models generated directly from RNASeq data, using several newly generated and some previously published MS datasets for this meta-analysis. We identified a total of 201996 and 39953 peptide-spectrum matches for T. gondii and N. caninum, respectively, at a 1% peptide FDR threshold. This equated to the identification of 30494 distinct peptide sequences and 2921 proteins (matches to official gene models) for T. gondii, and 8911 peptides/1273 proteins for N. caninum following stringent protein-level thresholding. We have also identified 289 and 140 loci for T. gondii and N. caninum, respectively, which mapped to RNA-Seq-derived gene models used in our analysis and apparently absent from the official annotation (release 10 from EuPathDB) of these species. We present several examples in our study where the RNA-Seq evidence can help in correction of the current gene model and can help in discovery of potential new genes. The findings of this study have been integrated into the EuPathDB. The data have been deposited to the ProteomeXchange with identifiers PXD000297and PXD000298. AU - Krishna, Ritesh AU - Xia, Dong AU - Sanderson, Sanya AU - Shanmugasundram, Achchuthan AU - Vermont, Sarah AU - Bernal, Axel AU - Daniel-Naguib, Gianluca AU - Ghali, Fawaz AU - Brunk, Brian P. AU - Roos, David S. AU - Wastling, Jonathan M. AU - Jones, Andrew R. DA - 2015/08// DO - 10.1002/pmic.201400553 IS - 15 L1 - internal-pdf://1564739221/Krishna-2015-A large-scale proteogenomics stud.pdf PY - 2015 SN - 1615-9853 SP - 2618-2628 ST - A large-scale proteogenomics study of apicomplexan pathogens-Toxoplasma gondii and Neospora caninum T2 - Proteomics TI - A large-scale proteogenomics study of apicomplexan pathogens-Toxoplasma gondii and Neospora caninum UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4692086/pdf/pmic0015-2618.pdf VL - 15 ID - 1962 ER - TY - CONF AB - Distributed and collaborative software development has increased the popularity of source code repositories like GitHub. With the number of projects in such code repositories exceeding millions, it is important to identify the domains to which the projects belong. A domain is a concept or a hierarchy of concepts used to categorize a project. We have proposed a model to cluster projects in a code repository by mining the latent co-development network. These identified clusters are mapped to domains with the help of a taxonomy which we constructed using the metadata from an online Question and Answer (QA) website. To demonstrate the validity of the model, we built a prototype for semantic search on source code repositories. In this paper, we outline the proposed model and present the early results. AU - Venkataramani, R. AU - Asadullah, A. AU - Bhat, V. AU - Muddu, B. C3 - 2013 IEEE International Conference on Software Maintenance (ICSM), 22-28 Sept. 2013 DA - 2013 DO - 10.1109/ICSM.2013.50 KW - data mining distributed databases groupware meta data question answering (information retrieval) software engineering ubiquitous computing Web sites PB - IEEE Computer Society PY - 2013 SP - 372-5 ST - Latent co-development analysis based semantic search for large code repositories T3 - 2013 IEEE International Conference on Software Maintenance (ICSM) TI - Latent co-development analysis based semantic search for large code repositories UR - http://dx.doi.org/10.1109/ICSM.2013.50 ID - 1508 ER - TY - JOUR AB - In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional approaches to anomaly detection are concerned with tracking data which are largely deviated from the ordinary pattern. In this paper, we are instead concerned with the issue of how to track changes occurring in the latent variable space consisting of the meta information existing behind directly observed data. For example, in the case of masquerade detection, the conventional task was to detect anomalous command lines related to masqueraders' malicious behaviors. Mean while, we rather attempt to track changes of behavioral patterns such as writing mails, making software, etc. which are information of more abstract level than command lines. The key ideas of the proposed methods are: (i) constructing the model variation vector, which is introduced relative to the latent variable space, and (ii) the latent anomaly detection is reduced to the issue of change-point detection for the time series that the model variation vector forms. We demonstrate through the experimental results using an artificial data set and a UNIX command data set that our method has significantly enhanced the accuracy of existing anomaly detection methods. 2009 Wiley Periodicals, Inc. AU - Hirose, Shunsuke AU - Yamanishi, Kenji DA - 2009 DO - 10.1002/sam.10032 IS - 1 J2 - Statistical Analysis and Data Mining KW - Hidden Markov models time series L1 - internal-pdf://3685510300/Hirose-2009-Latent variable mining with its ap.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 19321872 SP - 70-86 ST - Latent variable mining with its applications to anomalous behavior detection T2 - Statistical Analysis and Data Mining TI - Latent variable mining with its applications to anomalous behavior detection UR - http://dx.doi.org/10.1002/sam.10032 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/sam.10032/asset/10032_ftp.pdf?v=1&t=ititm6qo&s=b95324fb9205b29e59149b90b1ae176366016ebc VL - 2 ID - 1431 ER - TY - JOUR AB - BACKGROUND: There is a striking latitudinal gradient in multiple sclerosis (MS) prevalence, but exceptions in Mediterranean Europe and northern Scandinavia, and some systematic reviews, have suggested that the gradient may be an artefact. The authors sought to evaluate the association between MS prevalence and latitude by meta-regression. METHODS AND FINDINGS: Studies were sourced from online databases, reference mining and author referral. Prevalence estimates were age-standardised to the 2009 European population. Analyses were carried out by means of random-effects meta-regression, weighted with the inverse of within-study variance. The authors included 650 prevalence estimates from 321 peer-reviewed studies; 239 were age-standardised, and 159 provided sex-specific data. The authors found a significant positive association (change in prevalence per degree-latitude) between age-standardised prevalence (1.04, p<0.001) and latitude that diminished at high latitudes. Adjustment for prevalence year strengthened the association with latitude (2.60, p<0.001). An inverse gradient in the Italian region reversed on adjustment for MS-associated HLA-DRB1 allele distributions. Adjustment for HLA-DRB1 allele frequencies did not appreciably alter the gradient in Europe. Adjustment for some potential sources of bias did not affect the observed associations. CONCLUSION: This, the most comprehensive review of MS prevalence to date, has confirmed a statistically significant positive association between MS prevalence and latitude globally. Exceptions to the gradient in the Italian region and northern Scandinavia are likely a result of genetic and behavioural-cultural variations. The persistence of a positive gradient in Europe after adjustment for HLA-DRB1 allele frequencies strongly supports a role for environmental factors which vary with latitude, the most prominent candidates being ultraviolet radiation (UVR)/vitamin D. AU - Simpson, Steve, Jr. AU - Blizzard, Leigh AU - Otahal, Petr AU - Van der Mei, Ingrid AU - Taylor, Bruce DA - 2011/10//undefined DO - 10.1136/jnnp.2011.240432 IS - 10 J2 - J Neurol Neurosurg Psychiatry KW - *Topography, Medical Alleles Australasia Cross-Cultural Comparison Cross-Sectional Studies Europe Gene Frequency/genetics Genetic Predisposition to Disease/genetics HLA-DR Antigens/genetics HLA-DRB1 Chains Humans Incidence Multiple Sclerosis/*epidemiology/etiology/genetics North America Risk Factors Ultraviolet Rays LA - eng PY - 2011 SN - 1468-330X 0022-3050 SP - 1132-1141 ST - Latitude is significantly associated with the prevalence of multiple sclerosis: a meta-analysis T2 - Journal of neurology, neurosurgery, and psychiatry TI - Latitude is significantly associated with the prevalence of multiple sclerosis: a meta-analysis VL - 82 ID - 79 ER - TY - JOUR AU - Blumenthal, David DA - 2010 DP - Google Scholar IS - 5 L1 - internal-pdf://3194224870/Blumenthal-2010-Launching hitech.pdf PY - 2010 SP - 382-385 ST - Launching hitech T2 - New England Journal of Medicine TI - Launching hitech UR - http://www.nejm.org/doi/full/10.1056/NEJMp0912825 http://www.nejm.org/doi/pdf/10.1056/NEJMp0912825 VL - 362 Y2 - 2016/09/24/15:34:52 ID - 2325 ER - TY - JOUR AB - Introduction: Job insecurity has been repeatedly linked with poor employee health and safety outcomes. Although research on high quality leader-member exchange (LMX) has demonstrated many beneficial effects, no research to date has examined the extent to which positive LMX might attenuate those adverse health and safety-related consequences of job insecurity. The current study extends research in this area by specifically examining the buffering impact of LMX on the relationship between job insecurity and safety knowledge, reported accidents, and physical health conditions. Furthermore, the study also examines whether positive LMX mitigates the typically seen negative impact of job insecurity on supervisor satisfaction. Methods: The hypotheses were tested using survey data collected from 212 employees of a mine located in southwestern United States. Results: As predicted, job insecurity was related to lower levels of supervisor satisfaction, more health ailments, and more workplace accidents, and was marginally related to lower levels of safety knowledge. Results indicated that LMX significantly attenuated these observed relationships. Conclusions: The quality of the dyadic relationship between supervisor and subordinate has a significant impact on the extent to which job insecurity is associated with adverse health and safety outcomes. Practical applications: Practical implications for supervisor behavior and developing high quality LMX are discussed in light of today's pervasive job insecurity. (C) 2015 National Safety Council and Elsevier Ltd. All rights reserved. AU - Probst, Tahira M. AU - Jiang, Lixin AU - Graso, Maja DA - 2016/02// DO - 10.1016/j.jsr.2015.11.003 PY - 2016 SN - 0022-4375 SP - 47-56 ST - Leader-member exchange: Moderating the health and safety outcomes of job insecurity T2 - Journal of Safety Research TI - Leader-member exchange: Moderating the health and safety outcomes of job insecurity VL - 56 ID - 2282 ER - TY - JOUR AB - Seabirds impose a high-nutrient, high-disturbance regime on the islands on which they nest, resulting in higher nutrient cycling rates, plant nutrient uptake and leaf nutrient content. On islands off the coast of New Zealand, seabird-dominated islands support greater densities of soil- and litter-dwelling consumer biota. We predicted that islands with high seabird densities would have higher levels of leaf damage as a result of higher densities of foliar consumers (herbivores and pathogens). Damage levels on leaves of six common tree species were compared between 9 islands with active seabird colonies and 10 islands with low seabird densities resulting from invasion by predatory rats. There were no consistent differences in leaf damage by chewing, mining, or phloem-feeding herbivores across plant species; pathogen damage was lower on islands with high seabird densities than on those with low densities, but this was driven by only two of the plant species. Instead, plant species differed in which of several possible damage types responded to seabird presence, and in which plant leaf traits responded to seabird-related environmental changes. Across plant species, those with more resource-acquisitive leaf traits such as high percent nitrogen and low structural investment experienced higher levels of chewing damage (which accounted for 66-100% of all damage), but not other damage types. We conclude that the fertilisation and disturbance regimes imposed by seabirds do not lead to consistent changes in consumer damage to plants, because of variable responses by both individual plant species and different consumer groups. AU - Mulder, Christa P. H. AU - Wardle, David A. AU - Durrett, Melody S. AU - Bellingham, Peter J. DA - 2015 IS - 2 PY - 2015 SN - 0110-6465 SP - 221-230 ST - Leaf damage by herbivores and pathogens on New Zealand islands that differ in seabird densities T2 - New Zealand Journal of Ecology TI - Leaf damage by herbivores and pathogens on New Zealand islands that differ in seabird densities VL - 39 ID - 2289 ER - TY - CONF AB - This work addresses the problem of mining data stream generated in dynamic environments where the distribution underlying the observations may change over time. We present a system that monitors the evolution of the learning process. The system is able to self-diagnosis degradations of this process, using change detection mechanisms, and self-repairs the decision models. The system uses meta-learning techniques that characterize the domain of applicability of previously learned models. The meta-learns can detect re-occurrence of contexts, using unlabeled examples, and take pro-active actions by activating previously learned models. 2011 Springer-Verlag. AU - Gama, Joao AU - Kosina, Petr C3 - 10th International Symposium on Intelligent Data Analysis, IDA 2011, October 29, 2011 - October 31, 2011 DA - 2011 DO - 10.1007/978-3-642-24800-9_17 KW - Data communication systems Data reduction N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2011 SN - 03029743 SP - 162-172 ST - Learning about the learning process T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Learning about the learning process UR - http://dx.doi.org/10.1007/978-3-642-24800-9_17 VL - 7014 LNCS ID - 699 ER - TY - JOUR AB - Data mining tools often include a workbench of algorithms to model a given dataset but lack sufficient guidance to select the most accurate algorithm given a certain dataset. The best algorithm is not known in advance and no single model format is superior for all datasets. Evaluating a number of candidate algorithms on large datasets to determine the most accurate model is however a computational burden. An alternative and more time efficient way is to select the optimal algorithm based on the nature of the dataset. In this meta-learning study, it is explored to what degree dataset characteristics can help identify which regression/estimation algorithm will best fit a given dataset. We chose to focus on comprehensible 'white-box' techniques in particular (i.e. linear, spline, tree, linear tree or spline tree) as those are of particular interest in many real-life estimation settings. A large scale experiment with more than thousand so called datasetoids representing various real-life dependencies is conducted to discover possible relations. It is found that algorithm based characteristics such as sampling landmarks are major drivers for successfully selecting the most accurate algorithm. Further, it is found that data based characteristics such as the length, dimensionality and composition of the independent variables, or the asymmetry and dispersion of the dependent variable appear to contribute little once landmarks are included in the meta-model. 2015 IOS Press and the authors. AU - Loterman, Gert AU - Mues, Christophe DA - 2015 DO - 10.3233/IDA-150756 IS - 5 J2 - Intelligent Data Analysis KW - Algorithms data mining Forestry Learning algorithms Regression Analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 1088467X SP - 1019-1034 ST - Learning algorithm selection for comprehensible regression analysis using datasetoids T2 - Intelligent Data Analysis TI - Learning algorithm selection for comprehensible regression analysis using datasetoids UR - http://dx.doi.org/10.3233/IDA-150756 VL - 19 ID - 1460 ER - TY - JOUR AB - Data mining tools often include a workbench of algorithms to model a given dataset but lack sufficient guidance to select the most accurate algorithm given a certain dataset. The best algorithm is not known in advance and no single model format is superior for all datasets. Evaluating a number of candidate algorithms on large datasets to determine the most accurate model is however a computational burden. An alternative and more time efficient way is to select the optimal algorithm based on the nature of the dataset. In this meta-learning study, it is explored to what degree dataset characteristics can help identify which regression/estimation algorithm will best fit a given dataset. We chose to focus on comprehensible `white-box' techniques in particular (i.e. linear, spline, tree, linear tree or spline tree) as those are of particular interest in many real-life estimation settings. A large scale experiment with more than thousand so called datasetoids representing various real-life dependencies is conducted to discover possible relations. It is found that algorithm based characteristics such as sampling landmarks are major drivers for successfully selecting the most accurate algorithm. Further, it is found that data based characteristics such as the length, dimensionality and composition of the independent variables, or the asymmetry and dispersion of the dependent variable appear to contribute little once landmarks are included in the meta-model. AU - Loterman, Gert AU - Mues, Christophe DA - 2015 DO - 10.3233/IDA-150756 IS - 5 PY - 2015 SN - 1088-467X SP - 1019-1034 ST - Learning algorithm selection for comprehensible regression analysis using datasetoids T2 - Intelligent Data Analysis TI - Learning algorithm selection for comprehensible regression analysis using datasetoids VL - 19 ID - 1967 ER - TY - JOUR AU - Papamitsiou, Zacharoula K. AU - Economides, Anastasios A. DA - 2014 DP - Google Scholar IS - 4 L1 - http://conta.uom.gr/conta/publications/PDF/ETS-Papamitsiou%20and%20Economides-LA-EDM%20case%20studies%20review.pdf PY - 2014 SP - 49-64 ST - Learning Analytics and Educational Data Mining in Practice T2 - Educational Technology & Society TI - Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence UR - http://www.jstor.org/stable/jeductechsoci.17.4.49 VL - 17 Y2 - 2016/09/24/16:00:21 ID - 2398 ER - TY - JOUR AB - Objective: The objective of this paper is to describe the course “Systematic Reviews and Meta‐analysis” at the Johns Hopkins Bloomberg School of Public Health. Methods: A distinct feature of our course is a group project in which students, assigned to multi‐disciplinary groups, conduct a systematic review. In‐class sessions comprise didactic lectures, hands‐on exercises, demonstrations, discussion, and group work. Students also work outside of class to complete the systematic review. Students evaluated the course at the end of the term. We also surveyed students from 2004 to 2012 to learn more about the long‐term impact of the course. Results: The course has been offered to more than 800 students since 1995. In our view, aspects that worked well include the hands‐on approach, students working in a multidisciplinary group, intensive interaction with the teaching team, moving to an online approach, and continuous updates of the course content. A persistent issue is the constraint of time. 193 of 211 (91%) survey participants reported that the course is currently useful or as having an impact on their work. Conclusions: Our experiences have led us to remain committed to a hands‐on approach. Our course serves as a bridge between classroom learning and real‐world practice, and provides an example of teaching systematic review. AU - Li, Tianjing AU - Saldanha, Ian J. AU - Swaroop, S. AU - Yu, Tsung AU - Rosman, Lori AU - Twose, Claire AU - Goodman, Steven N. AU - Dickersin, Kay DA - 2014 DO - 10.1002/jrsm.1111 DP - APA PsycNET IS - 3 KW - *Course Evaluation *Education *Literature Review *Meta Analysis *Teaching Methods Students L1 - internal-pdf://1459834400/Li-2014-Learning by doing—Teaching systematic.pdf LA - English PY - 2014 SN - 1759-2887 1759-2879 SP - 254-263 ST - Learning by doing—Teaching systematic review methods in 8 weeks T2 - Research Synthesis Methods TI - Learning by doing—Teaching systematic review methods in 8 weeks UR - http://psycnet.apa.org.ezproxy.lib.vt.edu/index.cfm?fa=search.displayRecord&id=3FADC1DE-9041-E9D3-1B0A-3623CB6197E7&resultID=5&page=1&dbTab=all&search=true http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/jrsm.1111/asset/jrsm1111.pdf?v=1&t=itive5ue&s=890838ef662116f65cb5db6df6d0ad34eac50488 VL - 5 ID - 453 ER - TY - CONF AB - Many real-world machine learning tasks are faced with the problem of small training sets. Additionally, the class distribution of the training set often does not match the target distribution. In this paper we compare the performance of many learning models on a substantial benchmark of binary text classification tasks having small training sets. We vary the training size and class distribution to examine the learning surface, as opposed to the traditional learning curve. The models tested include various feature selection methods each coupled with four learning algorithms: support vector machines (SVM), logistic regression, naive Bayes, and multinomial naive Bayes. Different models excel in different regions of the learning surface, leading to metaknowledge about which to apply in different situations. This helps guide the researcher and practitioner when facing choices of model and feature selection methods in, for example, information retrieval settings and others. AU - Forman, G. AU - Cohen, I. C3 - Knowledge Discovery in Databases: PKDD 2004. 8th European Conference on Principles and Practice of Knowledge Discovery in Databases. Proceedings, 20-24 Sept. 2004 DA - 2004 KW - Bayes methods data mining learning (artificial intelligence) meta data pattern classification Regression Analysis Support Vector Machines text analysis PB - Springer-Verlag PY - 2004 SP - 161-72 ST - Learning from little: comparison of classifiers given little training T3 - Knowledge Discovery in Databases: PKDD 2004. 8th European Conference on Principles and Practice of Knowledge Discovery in Databases. Proceedings (Lecture Notes in Artificial Intelligence Vol.3202) TI - Learning from little: comparison of classifiers given little training ID - 957 ER - TY - CONF AB - Web videos such as YouTube are hard to obtain sufficient precisely labeled training data and analyze due to the complex ontology. To deal with these problems, we present a hierarchical web video classification framework by learning heterogeneous web data, and construct a bottom-up semantic forest of video concepts by learning from meta-data. The main contributions are two-folds: firstly, analysis about middle-level concepts'distribution is taken based on data collected from web communities, and a concepts redistribution assumption is made to build effective transfer learning algorithm. Furthermore, an AdaBoost-Like transfer learning algorithm is proposed to transfer the knowledge learned from Flickr images to YouTube video domain and thus it facilitates video classification. Secondly, a group of hierarchical taxonomies named Semantic Forest are mined from YouTube and Flickr tags which reect better user intention on the semantic level. A bottom-up semantic integration is also constructed with the help of semantic forest, in order to analyze video content hierarchically in a novel perspective. A group of experiments are performed on the dataset collected from Flickr and YouTube. Compared with state-of-thearts, the proposed framework is more robust and tolerant to web noise. 2011 ACM. AU - Liu, Xian-Ming AU - Yao, Hongxun AU - Ji, Rongrong AU - Xu, Pengfei AU - Sun, Xiaoshuai AU - Tian, Qi C3 - 19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11, November 28, 2011 - December 1, 2011 DA - 2011 DO - 10.1145/2072298.2072355 KW - Adaptive boosting Algorithms Cobalt compounds Forestry multimedia systems ontology Semantics Semantic Web Taxonomies Video streaming World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2011 SP - 433-442 ST - Learning heterogeneous data for hierarchical web video classification T3 - MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops TI - Learning heterogeneous data for hierarchical web video classification UR - http://dx.doi.org/10.1145/2072298.2072355 ID - 464 ER - TY - CONF AB - Ant Colony Optimization (ACO) is a meta-heuristic for solving combinatorial optimization problems, inspired by the behaviour of biological ant colonies. One of the successful applications of ACO is learning classification models (classifiers). A classifier encodes the relationships between the input attribute values and the values of a class attribute in a given set of labelled cases and it can be used to predict the class value of new unlabelled cases. Decision trees have been widely used as a type of classification model that represent comprehensible knowledge to the user. In this paper, we propose the use of ACO-based algorithms for learning an extended multi-tree classification model, which consists of multiple decision trees, one for each class value. Each class-based decision trees is responsible for discriminating between its class value and all other values available in the class domain. Our proposed algorithms are empirically evaluated against well-known decision trees induction algorithms, as well as the ACO-based Ant-Tree-Miner algorithm. The results show an overall improvement in predictive accuracy over 32 benchmark datasets. We also discuss how the new multi-tree models can provide the user with more understanding and knowledge-interpretability in a given domain. AU - Salama, K. M. AU - Otero, F. E. B. C3 - International Conference on Evolutionary Computation Theory and Applications (ECTA 2014), 22-24 Oct. 2014 DA - 2014 KW - ant colony optimisation data mining decision trees learning (artificial intelligence) pattern classification PB - INSTICC Press PY - 2014 SP - 38-48 ST - Learning multi-tree classification models with ant colony optimization T3 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications ECTA 2014 TI - Learning multi-tree classification models with ant colony optimization ID - 1050 ER - TY - CONF AB - The proceedings contain 99 papers. The topics discussed include: exploiting high performance on bioinformatics applications in a cloud system; the impact of choosing different likelihood functions in Bayesian hierarchical modeling for meta-analysis: a meta-analysis on oropharyngeal adverse events induced by inhaled corticosteroid; parametric study of single and double stage membrane configuration in methane enrichment process; gas transport and characterization of inorganic ceramic membrane for lactic acid esterification; CFD optimization of a submerged membrane reactor for biohydrogen production; optimization of the synthesis of boron suboxide powders; review of silver recovery techniques from radiographic effluent and x-ray film waste; and the crucial role of the process modeling during the design of a bubbling fluidized bed gasifier of plastics. C3 - World Congress on Engineering and Computer Science 2014, WCECS 2014, October 22, 2014 - October 24, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Newswood Limited PY - 2014 SN - 20780958 SP - et-al.; IAENG Society of Artificial Intelligence; IAENG Society of Bioinformatics; IAENG Society of Computer Science; IAENG Society of Data Mining; IAENG Society of Electrical Engineering ST - Lecture Notes in Engineering and Computer Science T3 - Lecture Notes in Engineering and Computer Science TI - Lecture Notes in Engineering and Computer Science VL - 2 ID - 1040 ER - TY - JOUR AB - Graphs are an essential part of scientific communication. Complex datasets, of which meta‐analyses are textbook examples, benefit the most from visualization. Although a number of graph options for meta‐analyses exist, the extent to which these are used was hitherto unclear. A systematic review on graph use in meta‐analyses in three disciplines (medicine, psychology, and business) and nine journals was conducted. Interdisciplinary differences, which are mirrored in the respective journals, were revealed, that is, graph use correlates with external factors rather than methodological considerations. There was only limited variation in graph types (with forest plots as the most important representatives), and diagnostic plots were very rare. Although an increase in graph use over time could be observed, it is unlikely that this phenomenon is specific to meta‐analyses. There is a gaping discrepancy between available graphic methods and their application in meta‐analyses. This may be rooted in a number of factors, namely, (i) insufficient dissemination of new developments, (ii) unsatisfactory implementation in software packages, and (iii) minor attention on graphics in meta‐analysis reporting guidelines. Using visualization methods to their full capacity is a further step in using meta‐analysis to its full potential. AU - E, H. AU - Voracek, Martin DA - 2013 DP - APA PsycNET IS - 3 KW - *Experimentation *Graphical Displays *Meta Analysis *Methodology Scientific Communication L1 - internal-pdf://3435210299/E-2013-Less is less_ A systematic review of gr.pdf LA - English PY - 2013 SN - 1759-2887 1759-2879 SP - 209-219 ST - Less is less T2 - Research Synthesis Methods TI - Less is less: A systematic review of graph use in meta‐analyses UR - http://psycnet.apa.org.ezproxy.lib.vt.edu/index.cfm?fa=search.displayRecord&id=3FADC1DE-9041-E9D3-1B0A-3623CB6197E7&resultID=2&page=1&dbTab=all&search=true http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/jrsm.1076/asset/jrsm1076.pdf?v=1&t=itirr21t&s=b161ef5c6d6d9912c8862490a8a3193bf9b4b8ba VL - 4 ID - 450 ER - TY - JOUR AB - The architecture of Blue Martini Software's e-commerce suite has supported data collection, data transformation, and data mining since its inception. With clickstreams being collected at the application-server layer, high-level events being logged, and data automatically transformed into a data warehouse using meta-data, common problems plaguing data mining using weblogs (e.g., sessionization and conflating multi-sourced data) were obviated, thus allowing us to concentrate on actual data mining goals. The paper briefly reviews the architecture and discusses many lessons learned over the last four years and the challenges that still need to be addressed. The lessons and challenges are presented across two dimensions: business-level vs. technical, and throughout the data mining lifecycle stages of data collection, data warehouse construction, business intelligence, and deployment. The lessons and challenges are also widely applicable to data mining domains outside retail e-commerce. AU - Kohavi, R. AU - Mason, L. AU - Parekh, R. AU - Zheng, Z. J. DA - 2004/11//OCT DO - 10.1023/B:MACH.0000035473.11134.83 IS - 1-2 L1 - internal-pdf://2097657371/Kohavi-2004-Lessons and challenges from mining.pdf PY - 2004 SN - 0885-6125 SP - 83-113 ST - Lessons and challenges from mining retail e-commerce data T2 - Machine Learning TI - Lessons and challenges from mining retail e-commerce data VL - 57 ID - 2048 ER - TY - JOUR AB - This paper traces the co-operative initiative undertaken by South Africa's gold mining companies through the Chamber of Mines Research Organization (COMRO) in development of hydraulic technologies. After a brief description of the structure of these technologies' development under COMRO's stewardship, the paper turns to an overview of the structure of innovation within which these hydraulic technologies were developed. A central focus of this paper is systematic review on whether similar technologies are likely to emerge in the present system of innovation and the role played by innovation policy. The South African Institute of Mining and Metallurgy, 2006. AU - Pogue, T. E. DA - 2006 IS - 8 J2 - Journal of The South African Institute of Mining and Metallurgy KW - Contracts Gold mines Hydraulic mining Strategic planning Technology transfer N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2006 SN - 0038223X SP - 515-525 ST - Lessons for the future: The origins and legacy of COMRO's hydraulic technology programme T2 - Journal of The South African Institute of Mining and Metallurgy TI - Lessons for the future: The origins and legacy of COMRO's hydraulic technology programme VL - 106 ID - 680 ER - TY - CONF AB - While systematic reviews (SRs) are positioned as an essential element of modern evidence-based medical practice, the creation and update of these reviews is resource intensive. In this research, we propose to leverage advanced analytics techniques for automatically classifying articles for inclusion and exclusion for systematic review update. Specifically, we used the soft-margin Support Vector Machine (SVM) as a classifier and examined various techniques to resolve class imbalance issues. Through an empirical study, we demonstrated that the soft-margin SVM works better than the perceptron algorithm used in current research and the performance of the classifier can be further improved by exploiting different sampling methods to resolve class imbalance issues. 2015 IEEE. AU - Timsina, Prem AU - El-Gayar, Omar F. AU - Liu, Jun C3 - 48th Annual Hawaii International Conference on System Sciences, HICSS 2015, January 5, 2015 - January 8, 2015 DA - 2015 DO - 10.1109/HICSS.2015.121 KW - data mining Support Vector Machines L1 - internal-pdf://1129566412/7367a976.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2015 SN - 15301605 SP - 976-985 ST - Leveraging advanced analytics techniques for medical systematic review update T3 - Proceedings of the Annual Hawaii International Conference on System Sciences TI - Leveraging advanced analytics techniques for medical systematic review update UR - http://dx.doi.org/10.1109/HICSS.2015.121 VL - 2015-March ID - 1478 ER - TY - CONF AB - According to Khan et al, "a review earns the adjective systematic if it is based on a clearly formulated question, identifies relevant studies, appraises their quality and summarizes the evidence by use of explicit methodology". Conducting systematic reviews tend to be resource intensive and may suffer from problems such as publication bias, time-lag bias, duplicate bias, citation bias, and outcome reporting bias. This research aims to develop a system to facilitate the creation of systematic reviews. Starting with a clinical question, the proposed system will query ClinicalTrial.gov to search published RCTs. The system will exploit advanced data analytics techniques to systematically mine clinical trials obtained from the ClinicalTrial.gov. From the theoretical perspective, the system provides context for exploring the feasibility and efficacy of using advanced analytics techniques for generating machine readable, real time medical evidence. From a practical perspective, the system is expected to produce cost efficient medical evidence. AU - Timsina, Prem AU - El-Gayar, Omar AU - Nawar, Nevine C3 - 20th Americas Conference on Information Systems, AMCIS 2014, August 7, 2014 - August 9, 2014 DA - 2014 KW - Hardware Information systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Information Systems PY - 2014 SP - et-al; Georgia Southern University; Georgia State University; Georgia Tech Scheller College of Business; IBM; SAP ST - Leveraging advanced analytics to generate dynamic medical systematic reviews T3 - 20th Americas Conference on Information Systems, AMCIS 2014 TI - Leveraging advanced analytics to generate dynamic medical systematic reviews ID - 949 ER - TY - CONF AB - In this paper, a general architecture is presented, that allows the extraction of semantic data from argumentation clauses that might exist in publications of the biomedical domain. Grammar rules are being defined which are used to identify sentences corresponding to argumentation being present in publications. From each argumentation sentence a set of metadata in the form of Linked Data Instances is produced, which contain the entities (chemo-preventive agents, proteins, molecules) to which the sentence refers to. The arguments, along with the associated entities are stored in a RDF triple store. Relations between arguments and entities can thus be retrieved by performing SPARQL queries. AU - Ntalaperas, D. AU - Hasapis, P. AU - Bouras, T. C3 - IADIS International Conference Applied Computing 2013, 23-25 Oct. 2013 DA - 2013 KW - data mining grammars medical information systems meta data Publishing query processing text analysis PB - IADIS Press PY - 2013 SP - 27-34 ST - Leveraging entities from biomedical publications to the linked data space T3 - IADIS International Conference Applied Computing 2013. Proceedings TI - Leveraging entities from biomedical publications to the linked data space ID - 951 ER - TY - CONF AB - The cross-ambiguity function (CAF) is commonly used to analyze the delay-Doppler characteristics of signals in radar, sonar, and communication systems. Accordingly, a CAF relates to the correlation processing of signals in the presence of delays and Doppler shifts. In this paper, we use a metaheuristic approach to address the CAF synthesis problem by jointly designing a pair of waveforms. The CAF ofwaveforms designed in this way, approximates a desired pre-defined CAF. It turns out that the waveforms designed by this approach have the benefit of low peak-to-average power ratios. Numerical examples are presented to show that nature-inspired metaheuristic algorithms can be used as an effective tool to synthesize different types of CAFs. 2013 IEEE. AU - Jamil, Momin AU - Zepernick, Hans-Juergen AU - Yang, Xin-She C3 - 2013 IEEE Military Communications Conference, MILCOM 2013, November 18, 2013 - November 20, 2013 DA - 2013 DO - 10.1109/MILCOM.2013.145 KW - Military communications Room and pillar mining N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2013 SP - 823-828 ST - Levy flight based cuckoo search algorithm for synthesizing cross-ambiguity functions T3 - Proceedings - IEEE Military Communications Conference MILCOM TI - Levy flight based cuckoo search algorithm for synthesizing cross-ambiguity functions UR - http://dx.doi.org/10.1109/MILCOM.2013.145 ID - 822 ER - TY - JOUR AB - This systematic review and harmonization of life cycle assessments (LCAs) of utility-scale coal-fired electricity generation systems focuses on reducing variability and clarifying central tendencies in estimates of life cycle greenhouse gas (GHG) emissions. Screening 270 references for quality LCA methods, transparency, and completeness yielded 53 that reported 164 estimates of life cycle GHG emissions. These estimates for subcritical pulverized, integrated gasification combined cycle, fluidized bed, and supercritical pulverized coal combustion technologies vary from 675 to 1,689 grams CO2-equivalent per kilowatt-hour (g CO2-eq/kWh) (interquartile range [IQR]= 890-1,130 g CO2-eq/kWh; median = 1,001) leading to confusion over reasonable estimates of life cycle GHG emissions from coal-fired electricity generation. By adjusting published estimates to common gross system boundaries and consistent values for key operational input parameters (most importantly, combustion carbon dioxide emission factor [CEF]), the meta-analytical process called harmonization clarifies the existing literature in ways useful for decision makers and analysts by significantly reducing the variability of estimates (-53% in IQR magnitude) while maintaining a nearly constant central tendency (-2.2% in median). Life cycle GHG emissions of a specific power plant depend on many factors and can differ from the generic estimates generated by the harmonization approach, but the tightness of distribution of harmonized estimates across several key coal combustion technologies implies, for some purposes, first-order estimates of life cycle GHG emissions could be based on knowledge of the technology type, coal mine emissions, thermal efficiency, and CEF alone without requiring full LCAs. Areas where new research is necessary to ensure accuracy are also discussed. 2012 by Yale University. AU - Whitaker, Michael AU - Heath, Garvin A. AU - O'Donoughue, Patrick AU - Vorum, Martin DA - 2012 DO - 10.1111/j.1530-9290.2012.00465.x IS - SUPPL.1 J2 - Journal of Industrial Ecology KW - Carbon dioxide Coal Coal combustion Coal mines Electric generators Estimation Factor analysis Fluidized bed combustion Fluidized beds Gas emissions Global warming Greenhouse gases Life cycle N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 10881980 SP - S53-S72 ST - Life Cycle Greenhouse Gas Emissions of Coal-Fired Electricity Generation: Systematic Review and Harmonization T2 - Journal of Industrial Ecology TI - Life Cycle Greenhouse Gas Emissions of Coal-Fired Electricity Generation: Systematic Review and Harmonization UR - http://dx.doi.org/10.1111/j.1530-9290.2012.00465.x VL - 16 ID - 1632 ER - TY - CHAP A2 - Friemel, T. N. AB - Cross-community effects on the behaviour of individuals and communities themselves can be observed in a wide range of applications. While previous work has tried to explain and analyse such phenomena, there is still a great potential for increasing the quality and accuracy of this analysis. In this work, we propose a general framework consisting of several different techniques to analyse and explain cross-community effects and the underlying dynamics. The proposed methodology works with arbitrary community algorithms, incorporates meta-data to improve the overall quality and expressiveness of the analysis and identifies particular phenomena in an automated manner. We illustrate the benefits and strengths of our approach by exposing in-depth details of cross-community effects between two closely related and well established areas of scientific research. This work focuses on techniques for understanding, defining and eventually predicting typical life-cycles and events in the context of cross-community dynamics. (C) 2011 Published by Elsevier Ltd. AU - Belak, Vaclav AU - Karnstedt, Marcel AU - Hayes, Conor PY - 2011 ST - Life-Cycles and Mutual Effects of Scientific Communities T2 - Dynamics of Social Networks 7th Conference on Applications of Social Network Analysis-Asna 2010 TI - Life-Cycles and Mutual Effects of Scientific Communities VL - 22 ID - 2135 ER - TY - CONF AB - We develop and discuss a news comment miner that presents distinct viewpoints on a given theme or event. Given a query, the system uses metasearch techniques to find relevant news articles. Relevant articles are then scraped for both article content and comments. Snippets from the comments are sampled and presented to the user, based on theme popularity and contrastiveness to previously selected snippets. The system design focuses on being quicker and more lightweight than recent topic modelling approaches, while still focusing on selecting orthogonal snippets. AU - Raveendran, G. AU - Clarke, C. L. A. C3 - 35th Annual International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2012), 12-16 Aug. 2012 DA - 2012 DO - 10.1145/2348283.2348490 KW - data mining Information analysis meta data Search Engines PB - ACM PY - 2012 SP - 1103-4 ST - Lightweight contrastive summarization for news comment mining T3 - Proceedings of the 35th Annual International ACM SIGIR Conference on Research Development in Information Retrieval (SIGIR 2012) TI - Lightweight contrastive summarization for news comment mining UR - http://dx.doi.org/10.1145/2348283.2348490 ID - 1642 ER - TY - CONF AB - Domain Specific Visual Languages (DSVLs) play a cornerstone role in Model-Driven Engineering (MDE), where (domain specific) models are used to automate the production of the final application. Graph Transformation is a formal, visual, rule-based technique, which is increasingly used in MDE to express in-place model transformations like refactorings, animations and simulations. However, there is currently a lack of methods able to perform static analysis of rules, taking into account the DSVL meta-model integrity constraints. In this paper we propose a lightweight, efficient technique that performs static analysis of the weak executability of rules. The method determines if there is some scenario in which the rule can be safely applied, without breaking the meta-model constraints. If no such scenario exists, the method returns meaningful feedback that helps repairing the detected inconsistencies. 2010 IEEE. AU - Planas, Elena AU - Cabot, Jordi AU - Gomez, Cristina AU - Guerra, Esther AU - De Lara, Juan C3 - 2010 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2010, September 21, 2010 - September 25, 2010 DA - 2010 DO - 10.1109/VLHCC.2010.26 KW - Computer Simulation Graph theory Models Static analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 SP - 127-130 ST - Lightweight executability analysis of graph transformation rules T3 - Proceedings - 2010 IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2010 TI - Lightweight executability analysis of graph transformation rules UR - http://dx.doi.org/10.1109/VLHCC.2010.26 ID - 1175 ER - TY - JOUR AB - Epidemiology is expected to provide important clues to our understanding of the enigmatic etiopathogenesis of primary biliary cirrhosis (PBC). First, a systematic review of population based studies indicated a wide range in the yearly incidence (0.33-5.8/100.000) and point prevalence (1.91-40.2/100.000) rates. Though different ethnic representations may also contribute it is likely that methodological issues, based on the retrospective survey of diagnosed cases, and time trend play a major role, also in view of the prolonged asymptomatic period of the disease. Of note, the highest prevalence rates (35-40/100.000) were found in areas characterized by high medical awareness and easier access to healthcare. Second, the search for serum AMA in unselected population sera may identify the largest possible number of patients who have or will develop the disease. Indeed, a surprisingly high AMA prevalence rate, ranging between 0.43 and 1%, appears likely in the general population despite the lack of adequate work-up in most studies. Third, the median female to male ratio for PBC is classically accepted as 9-10:1 but is significantly lower for AMA prevalence (2.5:1), death certificates for PBC (4.3:1) and liver transplantation (6:1), thus suggesting that PBC in men may be underdiagnosed in early stages or manifest a more severe progression. Lastly, studies of both PBC and serum AMA prevalence among family members and monozygotic twins strongly support the role played by genetic factors in the etiopathogenesis of the disease. In conclusion, PBC epidemiology is far from being a closed case and the numerous open issues will be solved through a collaborative effort and powerful data mining tools. AU - Podda, Mauro AU - Selmi, Carlo AU - Lleo, Ana AU - Moroni, Luca AU - Invernizzi, Pietro DA - 2013/10//undefined DO - 10.1016/j.jaut.2013.06.015 J2 - J Autoimmun KW - Autoantibodies/*immunology Clinical epidemiology Family Health Female Genetic Predisposition to Disease/genetics Humans Liver Cirrhosis, Biliary/epidemiology/genetics/*immunology Male Mitochondria/*immunology Prevalence Primary biliary cirrhosis Sex Factors LA - eng PY - 2013 SN - 1095-9157 0896-8411 SP - 81-87 ST - The limitations and hidden gems of the epidemiology of primary biliary cirrhosis T2 - Journal of autoimmunity TI - The limitations and hidden gems of the epidemiology of primary biliary cirrhosis VL - 46 ID - 338 ER - TY - JOUR AB - Online reviews play a critical role in customer's purchase decision making process on the web. The reviews are often ranked based on user helpfulness votes to minimize the review information overload problem. This paper examines the factors that contribute towards helpfulness of online reviews and builds a predictive model. The proposed predictive model extracts novel linguistic category features by analysing the textual content of reviews. In addition, the model makes use of review metadata, subjectivity and readability related features for helpfulness prediction. Our experimental analysis on two real-life review datasets reveals that a hybrid set of features deliver the best predictive accuracy. We also show that the proposed linguistic category features are better predictors of review helpfulness for experience goods such as books, music, and video games. The findings of this study can provide new insights to e-commerce retailers for better organization and ranking of online reviews and help customers in making better product choices. [All rights reserved Elsevier]. AU - Krishnamoorthy, S. DA - 2015/05/01/ DO - 10.1016/j.eswa.2014.12.044 IS - 7 J2 - Expert Systems with Applications KW - data mining Electronic commerce feature extraction Internet Linguistics meta data retailing text analysis L1 - internal-pdf://2860839159/Krishnamoorthy-2015-Linguistic features for re.pdf PY - 2015 SN - 0957-4174 SP - 3751-9 ST - Linguistic features for review helpfulness prediction T2 - Expert Systems with Applications TI - Linguistic features for review helpfulness prediction UR - http://dx.doi.org/10.1016/j.eswa.2014.12.044 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0957417414008239/1-s2.0-S0957417414008239-main.pdf?_tid=796f3f50-833f-11e6-ab2b-00000aacb361&acdnat=1474822112_ff894daac01291f58ce75c54ef8e367f VL - 42 ID - 1492 ER - TY - CONF AB - There is a clear need for computational systems able to produce automatic linguistic descriptions of data about phenomena. Linguistic summarization represents an attempt to describe by means of linguistic expressions patterns emerging in data. Generating data summaries can be seen as a very complex and non-trivial data mining task. Language is the unique meta-language to describe and understand various complex phenomena and humans use it for multi-modal data fusion in their brains. Our work is devoted to advance towards the development of a framework for the fusion of heterogenous information using linguistic descriptions based on NL. This application paper deals with the development of a computational system capable of automatically generating linguistic descriptions of driving activity from vehicle simulator data. Based on Fuzzy Logic, and as a contribution towards the development of Computational Theory of Perceptions, the proposed solution is part of our research on granular linguistic models of phenomena. We will generate a set of valid sentences describing a phenomenon through a granular linguistic model of a phenomenon. Then a relevancy analysis will be performed, in order to choose the most suitable sequence of clauses to each specific input data. We have used real time-series data from a vehicle simulator to evaluate the performance of our approach. 2011 IEEE. AU - Eciolaza, Luka AU - Trivino, Gracian C3 - 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11, November 22, 2011 - November 24, 2011 DA - 2011 DO - 10.1109/ISDA.2011.6121646 KW - Automobile simulators Computational complexity data fusion Fuzzy Logic Intelligent systems Linguistics Modal analysis Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 SN - 21647143 SP - 148-153 ST - Linguistic reporting of driver behavior: Summary and event description T3 - International Conference on Intelligent Systems Design and Applications, ISDA TI - Linguistic reporting of driver behavior: Summary and event description UR - http://dx.doi.org/10.1109/ISDA.2011.6121646 ID - 1229 ER - TY - CONF AB - In this paper we present web crawling, Meta searches, geo location tools, and computational intelligent techniques to assess the characteristics of a cyber-incident to determine if an incident is likely to be caused by a certain group, geographical location of the source, intent of the attack, and useful behavioral aspects of the attack. The malicious websites extracted from the identified sources acted as seeds for our crawler and were crawled up to two hops traversing through all the hyperlinks emerging out from these pages. After crawling, all the websites were translated to their geographic locations based on the location of the server on which the website is hosted using the Internet Protocol (IP) address to the geographical location mapping databases. We applied social networking analysis techniques to the link structure of the malicious websites to put forward the properties of the malicious websites and compared them with that of the legitimate websites. We identified the potential sources or websites that publish malicious websites using the meta-searches. Our approach revealed that the behavior of the malicious websites with respect to their indegrees, outdegrees and the clustering coefficient differ from that of the legitimate websites and some malicious websites acted as promoters for other malicious websites. The link visualization showed that the links traversing across the malicious websites are not confined to the region where the website was hosted. AU - Cherukuri, Manoj AU - Mukkamala, Srinivas C3 - 6th International Conference on Information Warfare and Security, ICIW 2011, March 17, 2011 - March 18, 2011 DA - 2011 KW - Computer aided network analysis Hypertext systems Internet protocols Social networking (online) visualization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Curran Associates Inc. PY - 2011 SP - 52-67 ST - Link analysis and link visualization of malicious websites T3 - 6th International Conference on Information Warfare and Security, ICIW 2011 TI - Link analysis and link visualization of malicious websites ID - 1109 ER - TY - JOUR AB - Consensus quantitative trait loci (QTL) in meta-analysis of multiple independent QTL mapping experiments provides a strong foundation for marker-assisted selection and gene cloning. However, meta-analysis suffers from the lack of available genomic information and the results vary when different reference linkage maps are used. Here, to overcome these limitations, we propose a linkage-group-based QTL synthesis analysis approach that we have named linkage graph analysis. First, a graph model is constructed from derived linkage groups. Next, an unsupervised classification approach is used to obtain marker intervals with co-segregating patterns among multiple genomes. Finally, a frequent itemset mining technique is used to identify the markers (or intervals) closely linked to the QTL. The proposed method was validated by one Monte Carlo simulation study and by real data analysis of cotton genomes. Two major advantages of the new method are: (i) A reference linkage group is not required; (ii) the effect of the initial QTL is reduced because false QTLs can be detected and excluded from the dataset. The ability to reliably identify the markers associated with a true QTL is valuable in crop breeding. AU - FengLei, Kuang AU - Xia, Wang AU - Ling, Zhou AU - YuanMing, Zhang DA - 2011/04// DO - 10.1007/s11434-010-4185-1 IS - 11 PY - 2011 SN - 1001-6538 SP - 1092-1099 ST - Linkage graph analysis: A linkage-group-based QTL synthesis analysis approach T2 - Chinese Science Bulletin TI - Linkage graph analysis: A linkage-group-based QTL synthesis analysis approach VL - 56 ID - 1938 ER - TY - CONF AB - Background: a systematic review identifies, evaluates and synthesizes the available literature on a given topic using scientific and repeatable methodologies. The significant workload required and the subjectivity bias could affect results. Aim: semi-automate the selection process to reduce the amount of manual work needed and the consequent subjectivity bias. Method: extend and enrich the selection of primary studies using the existing technologies in the field of Linked Data and text mining. We define formally the selection process and we also develop a prototype that implements it. Finally, we conduct a case study that simulates the selection process of a systematic literature published in literature. Results: the process presented in this paper could reduce the work load of 20% with respect to the work load needed in the fully manually selection, with a recall of 100%. Conclusions: the extraction of knowledge from scientific studies through Linked Data and text mining techniques could be used in the selection phase of the systematic review process to reduce the work load and subjectivity bias. AU - Tomassetti, F. AU - Rizzo, G. AU - Vetro, A. AU - Ardito, L. AU - Torchiano, M. AU - Morisio, M. C3 - 15th Annual Conference on Evaluation and Assessment in Software Engineering, EASE 2011, April 11, 2011 - April 12, 2011 DA - 2011 DO - 10.1049/ic.2011.0004 KW - Rating software engineering L1 - internal-pdf://1734575197/06083159.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institution of Engineering and Technology PY - 2011 SP - 31-35 ST - Linked data approach for selection process automation in systematic reviews T3 - IET Seminar Digest TI - Linked data approach for selection process automation in systematic reviews UR - http://dx.doi.org/10.1049/ic.2011.0004 VL - 2011 ID - 1233 ER - TY - JOUR AB - Currently, the World Wide Web can be divided into two separate fields. The traditional Web of Documents consisting of hyperlinked web documents and the emerging Web of Data consisting of linked open data. We present ontology-based information extraction as core technology for bridging the gap between both fields. Based on this, we list three basic applications that integrate web data to web documents. Our SC00BIE system can extract information of a linked open dataset mentioned as textual phrases in web documents. SCOOBIE returns machine interpretable metadata summarizing the content of a web document from the perspective of a linked open dataset. Based on SCOOBIE we present EPIPHANY, a system that returns extracted metadata back to the originating web document in form of semantic annotations. This allows users to request the Web of Data for more information about annotated subjects inside the web document. STERNTALER is a system that analyses extracted metadata from search results of a search engine. It generates semantic filters filled with facets of things that were extracted from web documents inside search results. This allows users filtering those web documents that contain information about specific subjects and facets. AU - Adrian, B. AU - Dengel, A. DA - 2011/05// DO - 10.1524/itit.2011.0633 IS - 3 J2 - IT-Information Technology KW - data integration document handling feature extraction information filtering Knowledge acquisition meta data ontologies (artificial intelligence) Search Engines Semantic Web L1 - internal-pdf://0628175011/Adrian-2011-Linked open data perspectives_ inc.pdf PY - 2011 SN - 1611-2776 SP - 117-24 ST - Linked open data perspectives: incorporating linked open data into information extraction on the web T2 - IT-Information Technology TI - Linked open data perspectives: incorporating linked open data into information extraction on the web UR - http://dx.doi.org/10.1524/itit.2011.0633 http://www.degruyter.com.ezproxy.lib.vt.edu/downloadpdf/j/itit.2011.53.issue-3/itit.2011.0633/itit.2011.0633.xml VL - 53 ID - 1266 ER - TY - CONF AB - Vaccines have been one of the most successful public health interventions to date. The use of vaccination, however, also comes with possible adverse events. The U.S. FDA/CDC Vaccine Adverse Event Reporting System (VAERS) currently contains more 200,000 reports for post-vaccination events that occur after the administration of vaccines licensed in the United States. Although the data from VAERS has been applied to many public health and vaccine safety studies, each individual report does not necessary indicate a casuality relationship between the vaccine and the reported symptoms. Further statistical analysis and summarization needs to be done before this data can be leveraged. In this paper, we introduces our preliminary work on summarzing the VAERS data and representing the vaccine-symptom correlations as well as the meta data of their relations using RDF. We then apply network analysis approaches to the RDF data to illustrate a use case of the data. We further discuss our vision on integrating the data with vaccine information from other sources using RDF linked approach to faciliate more comprehensive analyses. AU - Tao, Cui AU - Wu, Puqiang AU - Zhang, Yuji C3 - International Workshops on Data Mining and Decision Analytics for Public Health, Biologically Inspired Data Mining Techniques, Mobile Data Management, Mining, and Computing on Social Networks, Big Data Science and Engineering on E-Commerce, Cloud Service Discovery, MSMV-MBI, Scalable Dats Analytics, Data Mining and Decision Analytics for Public Health and Wellness, Algorithms for Large-Scale Information Processing in Knowledge Discovery, Data Mining in Social Networks, Data Mining in Biomedical informatics and Healthcare, Pattern Mining and Application of Big Data in conjunction with 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, May 13, 2014 - May 16, 2014 DA - 2014 DO - 10.1007/978-3-319-13186-3_58 KW - Big data bioinformatics data mining Distributed computer systems Information Management INFORMATION science mobile commerce Public health Social networking (online) Social sciences computing Vaccines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2014 SN - 03029743 SP - 652-661 ST - Linked vaccine adverse event data representation from VAERS for biomedical informatics research T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Linked vaccine adverse event data representation from VAERS for biomedical informatics research UR - http://dx.doi.org/10.1007/978-3-319-13186-3_58 VL - 8643 ID - 1313 ER - TY - JOUR AB - The structure of a closely integrated data warehouse is described that is designed to link different types and varying numbers of biological networks, sequence analysis methods and experimental results such as those coming from microarrays. The data schema is inspired by a combination of graph based methods and generalised data structures and makes use of ontologies and meta-data. The core idea is to consider and store biological networks as graphs, and to use generalised data structures (GDS) for the storage of further relevant information. This is possible because many biological networks can be stored as graphs: protein interactions, signal transduction networks, metabolic pathways, gene regulatory networks etc. Nodes in biological graphs represent entities such as promoters, proteins, genes and transcripts whereas the edges of such graphs specify how the nodes are related. The semantics of the nodes and edges are defined using ontologies of node and relation types. Besides generic attributes that most biological entities possess (name, attribute description), further information is stored using generalised data structures. By directly linking to underlying sequences (exons, introns, promoters, amino acid sequences) in a systematic way, close interoperability to sequence analysis methods can be achieved. This approach allows us to store, query and update a wide variety of biological information in a way that is semantically compact without requiring changes at the database schema level when new kinds of biological information is added. We describe how this datawarehouse is being implemented by extending the text-mining framework ONDEX to link, support and complement different bioinformatics applications and research activities such as microarray analysis, sequence analysis and modelling/simulation of biological systems. The system is developed under the GPL license and can be downloaded from http://sourceforge.net/projects/ondex/ AU - Koehler, Jacob AU - Rawlings, Chris AU - Verrier, Paul AU - Mitchell, Rowan AU - Skusa, Andre AU - Ruegg, Alexander AU - Philippi, Stephan DA - 2005 IS - 1 J2 - In Silico Biol KW - Algorithms Animals Biology/methods Computational Biology/*methods Database management systems Databases, Factual Databases, Genetic Databases, Protein Gene Expression Profiling Genome Humans Information storage and retrieval Macromolecular Substances Microarray Analysis Proteins RNA, Messenger/metabolism Software Systems Biology LA - eng PY - 2005 SN - 1386-6338 1386-6338 SP - 33-44 ST - Linking experimental results, biological networks and sequence analysis methods using Ontologies and Generalised Data Structures T2 - In silico biology TI - Linking experimental results, biological networks and sequence analysis methods using Ontologies and Generalised Data Structures UR - http://content.iospress.com/articles/in-silico-biology/isb00165 VL - 5 ID - 385 ER - TY - JOUR AB - Recent years have witnessed the blooming of Web 2.0 content such as Flickr and YouTube, etc. How we can benefit from such rich media resources is still an open and challenging question. In this paper, we present a method combining semantic inferencing and visual analysis for automatically finding media (photos and videos) illustrating events. We report on experiments validating our heuristic for mining media sharing platforms and large event directories in order to mutually enrich the descriptions of the content they host. Our overall goal is to design a Web-based environment that allows users to explore and select events, to inspect associated media, and to discover meaningful, surprising or entertaining connections between events, media and people participating in events. We present a large dataset composed of semantic descriptions of events, photos and videos interlinked with the larger Linked Open Data cloud and we show the benefits of using semantic Web technologies for integrating multimedia metadata. AU - Xueliang, Liu AU - Huet, B. DA - 2016/07// DO - 10.1007/s00530-014-0436-3 IS - 4 J2 - Multimedia Systems KW - cloud computing data mining information retrieval Internet meta data multimedia computing Semantic Web Social networking (online) PY - 2016 SN - 0942-4962 SP - 433-42 ST - Linking socially contributed media with events T2 - Multimedia Systems TI - Linking socially contributed media with events UR - http://dx.doi.org/10.1007/s00530-014-0436-3 VL - 22 ID - 1281 ER - TY - CONF AB - Growing competition has made today's banks understand the value of knowing their customers better. In this paper, we describe a tool, LIPTUS, that associates the customer interactions (emails and transcribed phone calls) with customer and account profiles stored in an existing data warehouse. The associations discovered by LIPTUS enable analytics spanning the customer and account profiles on one hand and the meta-data associated or derived from the interaction (using text mining techniques) on the other. We illustrate the value derived from this consolidated analysis through specific customer intelligence applications. LIPTUS is today being extensively used in a large bank in India. A highlight of this paper is a discussion of the technical challenges encountered while building LIPTUS and deploying it on real-life customer data. Copyright 2007 ACM. AU - Bhide, Manish A. AU - Gupta, Ajay AU - Gupta, Rahul AU - Roy, Prasan AU - Mohania, Mukesh K. AU - Ichhaporia, Zenita C3 - SIGMOD 2007: ACM SIGMOD International Conference on Management of Data, June 12, 2007 - June 14, 2007 DA - 2007 DO - 10.1145/1247480.1247587 KW - Administrative data processing data mining data structures Data warehouses Information Management Information systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2007 SN - 07308078 SP - 915-924 ST - LIPTUS: Associating structured and unstructured information in a banking environment T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data TI - LIPTUS: Associating structured and unstructured information in a banking environment UR - http://dx.doi.org/10.1145/1247480.1247587 http://dl.acm.org/citation.cfm?doid=1247480.1247587 ID - 1117 ER - TY - JOUR AB - Science's all-consuming drive to make new discoveries often risks losing sight of what was already known at one time-that which already exists in the published literature. Inadequate attention to the published literature and insufficient time devoted to its mining and synthesis into new knowledge is a problem faced by all disciplines, especially highly interdisciplinary fields such as environmental forensics, whose knowledge base is fragmented across numerous disciplines, While the conduct of science applies principles of quality assurance to a wide array of its processes, how pervasive are quality controls designed to ensure that planned or ongoing research has not been undertaken before? Has sufficient energy been devoted to mining what has already been discovered and synthesizing it into a larger, more useful perspective? This paper touches on the liabilities associated with insufficient examination of an exponentially growing published literature ("literature forensics") and offers some suggestions for achieving a better balance between original work and capturing what has already been reported-all essential to the growing responsibility of knowledge management. By lessening the importance of the published literature, are we asymptotically approaching a point where science may be preoccupied with publishing "new" findings while few have time to assimilate what has already been published? (C) 2001 AEHS. AU - Daughton, C. G. DA - 2001/12// DO - 10.1006/enfo.2001.0065 IS - 4 PY - 2001 SN - 1527-5922 SP - 277-282 ST - Literature forensics? Door to what was known but now forgotten T2 - Environmental Forensics TI - Literature forensics? Door to what was known but now forgotten VL - 2 ID - 2105 ER - TY - JOUR AU - Jensen, Lars Juhl AU - Saric, Jasmin AU - Bork, Peer DA - 2006 DP - Google Scholar IS - 2 L1 - internal-pdf://1060494695/Jensen-2006-Literature mining for the biologis.pdf PY - 2006 SP - 119-129 ST - Literature mining for the biologist T2 - Nature reviews genetics TI - Literature mining for the biologist: from information retrieval to biological discovery UR - http://www.nature.com/nrg/journal/v7/n2/abs/nrg1768.html http://www.nature.com/nrg/journal/v7/n2/full/nrg1768.html http://www.nature.com.ezproxy.lib.vt.edu/nrg/journal/v7/n2/pdf/nrg1768.pdf VL - 7 Y2 - 2016/09/24/15:34:52 ID - 2327 ER - TY - JOUR AB - A feasibility study of literature mining is conducted on drug PK parameter numerical data with a sequential mining strategy. Firstly, an entity template library is built to retrieve pharmacokinetics relevant articles. Then a set of tagging and extraction rules are applied to retrieve PK data from the article abstracts. To estimate the PK parameter population-average mean and between-study variance, a linear mixed meta-analysis model and an E-M algorithm are developed to describe the probability distributions of PK parameters. Finally, a cross-validation procedure is developed to ascertain false-positive mining results. Using this approach to mine midazolam (MDZ) PK data, an 88% precision rate and 92% recall rate are achieved, with an F-score = 90%. It greatly out-performs a conventional data mining approach (support vector machine), which has an F-score of 68.1%. Further investigate on 7 more drugs reveals comparable performances of our sequential mining approach. 2009 Elsevier Inc. All rights reserved. AU - Wang, Zhiping AU - Kim, Seongho AU - Quinney, Sara K. AU - Guo, Yingying AU - Hall, Stephen D. AU - Rocha, Luis M. AU - Li, Lang DA - 2009 DO - 10.1016/j.jbi.2009.03.010 IS - 4 J2 - Journal of Biomedical Informatics KW - Anesthetics decision making Information analysis Information Management mining pharmacokinetics Planning Probability distributions Resource allocation N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 15320464 SP - 726-735 ST - Literature mining on pharmacokinetics numerical data: A feasibility study T2 - Journal of Biomedical Informatics TI - Literature mining on pharmacokinetics numerical data: A feasibility study UR - http://dx.doi.org/10.1016/j.jbi.2009.03.010 VL - 42 ID - 1525 ER - TY - JOUR AB - BACKGROUND: Comparative analysis of expression microarray studies is difficult due to the large influence of technical factors on experimental outcome. Still, the identified differentially expressed genes may hint at the same biological processes. However, manually curated assignment of genes to biological processes, such as pursued by the Gene Ontology (GO) consortium, is incomplete and limited. We hypothesised that automatic association of genes with biological processes through thesaurus-controlled mining of Medline abstracts would be more effective. Therefore, we developed a novel algorithm (LAMA: Literature-Aided Meta-Analysis) to quantify the similarity between transcriptomics studies. We evaluated our algorithm on a large compendium of 102 microarray studies published in the field of muscle development and disease, and compared it to similarity measures based on gene overlap and over-representation of biological processes assigned by GO. RESULTS: While the overlap in both genes and overrepresented GO-terms was poor, LAMA retrieved many more biologically meaningful links between studies, with substantially lower influence of technical factors. LAMA correctly grouped muscular dystrophy, regeneration and myositis studies, and linked patient and corresponding mouse model studies. LAMA also retrieves the connecting biological concepts. Among other new discoveries, we associated cullin proteins, a class of ubiquitinylation proteins, with genes down-regulated during muscle regeneration, whereas ubiquitinylation was previously reported to be activated during the inverse process: muscle atrophy. CONCLUSION: Our literature-based association analysis is capable of finding hidden common biological denominators in microarray studies, and circumvents the need for raw data analysis or curated gene annotation databases. AU - Jelier, Rob AU - t Hoen, Peter A. C. AU - Sterrenburg, Ellen AU - den Dunnen, Johan T. AU - van Ommen, Gert-Jan B. AU - Kors, Jan A. AU - Mons, Barend DA - 2008 DO - 10.1186/1471-2105-9-291 J2 - BMC Bioinformatics KW - *Meta-Analysis as Topic *Muscle Development *Muscular Diseases *Natural Language Processing *Oligonucleotide Array Sequence Analysis Animals artificial intelligence Cluster Analysis Gene Expression Profiling Humans Medline Models, Animal Pattern Recognition, Automated/methods Publications Reproducibility of results Vocabulary, Controlled L1 - internal-pdf://0102524643/Jelier-2008-Literature-aided meta-analysis of.pdf LA - eng PY - 2008 SN - 1471-2105 1471-2105 SP - 291 ST - Literature-aided meta-analysis of microarray data: a compendium study on muscle development and disease T2 - BMC bioinformatics TI - Literature-aided meta-analysis of microarray data: a compendium study on muscle development and disease UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2459190/pdf/1471-2105-9-291.pdf VL - 9 ID - 63 ER - TY - JOUR AB - BACKGROUND: "Our lives are connected by a thousand invisible threads and along these sympathetic fibers, our actions run as causes and return to us as results". It is Herman Melville's famous quote describing connections among human lives. To paraphrase the Melville's quote, diseases are connected by many functional threads and along these sympathetic fibers, diseases run as causes and return as results. The Melville's quote explains the reason for researching disease-disease similarity and disease network. Measuring similarities between diseases and constructing disease network can play an important role in disease function research and in disease treatment. To estimate disease-disease similarities, we proposed a novel literature-based method. METHODS AND RESULTS: The proposed method extracted disease-gene relations and disease-drug relations from literature and used the frequencies of occurrence of the relations as features to calculate similarities among diseases. We also constructed disease network with top-ranking disease pairs from our method. The proposed method discovered a larger number of answer disease pairs than other comparable methods and showed the lowest p-value. CONCLUSIONS: We presume that our method showed good results because of using literature data, using all possible gene symbols and drug names for features of a disease, and determining feature values of diseases with the frequencies of co-occurrence of two entities. The disease-disease similarities from the proposed method can be used in computational biology researches which use similarities among diseases. AU - Kim, Hyunjin AU - Yoon, Youngmi AU - Ahn, Jaegyoon AU - Park, Sanghyun DA - 2015/11//undefined DO - 10.1016/j.cmpb.2015.07.001 IS - 2 J2 - Comput Methods Programs Biomed KW - *Biological Ontologies Algorithms Biomedical text mining Data Interpretation, Statistical Data Mining/methods Disease/*classification/*genetics Disease-disease similarity Disease network Genetic Predisposition to Disease/*genetics Humans Meta-Analysis as Topic Periodicals as Topic/*statistics & numerical data Symptom Assessment/*classification L1 - internal-pdf://0382926234/Kim-2015-A literature-driven method to calcula.pdf LA - eng PY - 2015 SN - 1872-7565 0169-2607 SP - 108-122 ST - A literature-driven method to calculate similarities among diseases T2 - Computer methods and programs in biomedicine TI - A literature-driven method to calculate similarities among diseases UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0169260715001789/1-s2.0-S0169260715001789-main.pdf?_tid=a0abe1dc-833e-11e6-bae2-00000aab0f6c&acdnat=1474821749_fe72f7a9226bf2d404d2bba080d7f841 VL - 122 ID - 24 ER - TY - JOUR AB - Literature-Related Discovery and Innovation (LRDI - formerly LRD - literature-related discovery) integrates 1) discovery generation from disparate literatures with 2) the wealth of knowledge contained in prior art to 3) potentially reverse chronic and infectious diseases and/or 4) potentially solve technical problems that appear intractable. This article describes the evolution of LRDI by the author and the insights gained/lessons learned over the past decade. To illustrate the potential power of LRDI, the article emphasizes the relationship between the results of our 2008 LRDI multiple sclerosis (MS) study and a recent demonstration of MS reversal. Lessons learned from the six LRDI medical studies done so far include: The main operational problem in the author's LRDI approach is selecting the most important concepts from extremely large volumes of potential discovery retrieval. This is contrary to most published LRDI research, where the discovery focus is searching for rare events.; It is important to have topical specialist(s) working closely with information technologist(s); the topical specialist(s) applies judgment in selecting the most important concepts.; A functional form of the information retrieval query with proximity searching capability provides highly selective filtering for discovery retrieval and core prevention/treatment retrieval; the functional form of the query with proximity searching capability allows the use of full-text for discovery and core prevention/treatment.; Bibliographic coupling (identifying papers that share common references) combined with text-based relationships strengthens selection for potential discovery further.; Having 'skin-in-the-game' (being affected personally) relative to the medical outcome is a strong incentive to do whatever is necessary to solve the research problem.; Hormesis is critical to healing; relatively modest doses of stimuli tend to be beneficial, whereas relatively large doses may be harmful. The synergy of hormetic treatment doses produces effects larger than combinations of individual doses and requires smaller doses when combined; the synergy of hormetic doses allows conversion of megadoses of nutrients typically reported in lab/clinical studies to physiological (food-level) doses and associated increased safety.; Co-promoters (combinations of toxic stimuli required to produce disease symptoms) are extremely important for explaining seemingly conflicting results; if true co-promotion is present, elimination of one of the co-promoters may be adequate for removing symptoms, even though the overall problem persists.; Prior art (potential treatments already published in the literature but not pursued by mainline medicine) may have much to contribute to potentially solve many serious medical problems; much of prior art is overlooked, especially low-tech prior art (e.g., foods, food extracts, herbs, etc.).; Systemic and focused treatments are both necessary components of healing, but neither will be fully, or many times even partially, effective until the cause(s) is identified and removed. Any medical approach that involves administering treatments for chronic and infectious diseases without addressing the cause(s) results in a broad range of outcomes mainly involving substitution of one set of symptoms for another.; Past results of LRDI medical studies showed much overlap among preventatives/systemic treatments for different diseases. Differences will arise mainly in focused treatments, especially those involving high technology.; The central parameters to healing in much medical research are never identified nor reported. Many treatments require a combination of skilled practitioners, cause removal, and immune/neural/endocrine/circulatory systems to be healthy for full effectiveness, yet practitioner skill, degree of cause removal, and immune system et al. health are never reported. A lack of this information does not allow efficacy of different treatments to be compared. Reviews and meta-analyses that compare and draw conclusions about the effectiveness of these different treatments without the above critical information being reported are of extremely limited value and credibility.; Finally, the most important deficiency for fully reversing chronic and infectious diseases, as well as rapidly accelerating healing of injuries and wounds, is the credibility and integrity of the medical literature itself, especially in areas that concern commercial and government/political sensitivities. In the evaluation of many concepts that deviated from the norm, it was difficult to ascertain whether the difference was based on solid high-quality research, poor research, or deliberately skewed research. [All rights reserved Elsevier]. AU - Kostoff, R. N. DA - 2012/05// DO - 10.1016/j.techfore.2012.02.002 IS - 4 J2 - Technological Forecasting and Social Change KW - bibliographic systems data mining Diseases Health care information filtering medical computing Patient treatment query processing L1 - internal-pdf://3459796691/Kostoff-2012-Literature-related discovery and.pdf PY - 2012 SN - 0040-1625 SP - 789-800 ST - Literature-related discovery and innovation - update T2 - Technological Forecasting and Social Change TI - Literature-related discovery and innovation - update UR - http://dx.doi.org/10.1016/j.techfore.2012.02.002 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S004016251200039X/1-s2.0-S004016251200039X-main.pdf?_tid=3120aacc-833f-11e6-83e3-00000aab0f27&acdnat=1474821991_eaca866c9445528ac3ed8d7510cd7dfd VL - 79 ID - 881 ER - TY - JOUR AB - Ore-forming fluid trapped in vein quartz as fluid inclusions from tungsten ore at the Takatori mine was extracted by a crush-leach technique. The trace metal content and isotopic composition (delta Li-7 and Sr-87/Sr-86 ratio) of inclusion fluids were measured. Although quartz single crystals can host fluid inclusions associated with different generations, careful selection of analytical samples made it possible to separate the temporal mineralization stages. We succeeded in reconstructing the evolution of the ore-forming fluid from the results of chemical analyses. delta Li-7 values of the ore-forming fluid were between -2.6 and +7.9 parts per thousand, gradually increasing in the later stages. The early-stage fluid characterized by low delta Li-7 values was derived from magma with a meta-sedimentary source (S-type granite). During precipitation of Li-bearing minerals, the delta Li-7 value of the ore-forming fluid became larger. The initial Sr-87/Sr-86 ratio of early-stage ore-forming fluid was 0.7202 to 0.7276, suggesting that the fluid responsible for tungsten mineralization was derived from S-type magma, and this magma had a different origin from the granitic rocks widely distributed in the mining area. AU - Masukawa, Kyoko AU - Nishio, Yoshiro AU - Hayashi, Ken-ichiro DA - 2013 IS - 3 PY - 2013 SN - 0016-7002 SP - 309-319 ST - Lithium-strontium isotope and heavy metal content of fluid inclusions and origin of ore-forming fluid responsible for tungsten mineralization at Takatori mine, Japan T2 - Geochemical Journal TI - Lithium-strontium isotope and heavy metal content of fluid inclusions and origin of ore-forming fluid responsible for tungsten mineralization at Takatori mine, Japan VL - 47 ID - 2136 ER - TY - CONF AB - We present and test a scalable approach for assigning valence to links in unsigned graphs with the ultimate goal of enabling triadic balanced assessment in communication networks. We do this by applying domain-adjusted sentiment analysis to the content of communication data and translating aggregated sentiment scores for information exchanged between network members into link signs. This approach facilitates fast, informed and systematic balance testing (we generate link signs for 166,670 triads in our data); allowing for empirical hypothesis testing and theory building based on current or archival communication data. The proposed technique eliminates the need for manually labeling text data, and overcomes limitations with inferring valence from self-reported or user-generated (meta-) data in situations where historical context and ground truth valence data might be unavailable or limited. We test this approach on corporate email data to complement the large amount of prior work based on social media data and the limited knowledge on sentiment in professional settings. Our results suggest that sentiment is overall slightly positive and emotionality is low, which reflects conventions of language use in a corporate environment. We observe that people draw from (the top of) a smaller pool of positive terms more frequently than from a larger set of negative terms. The ratio of balanced triads (on average about 88%) to unbalanced triads (12%) remains relatively stable despite changes in corporate performance. The labor-intense adjustment of a given lexical resource to some dataset and domain pays off as it generates more empirical evidence with lower variance. 2015 ACM. AU - Diesner, Jana AU - Evans, Craig S. C3 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, August 25, 2015 - August 28, 2015 DA - 2015 DO - 10.1145/2808797.2809403 KW - data mining Natural language processing systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2015 SP - 342-348 ST - Little bad concerns: Using sentiment analysis to assess structural balance in communication networks T3 - Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015 TI - Little bad concerns: Using sentiment analysis to assess structural balance in communication networks UR - http://dx.doi.org/10.1145/2808797.2809403 http://dl.acm.org/citation.cfm?doid=2808797.2809403 ID - 1324 ER - TY - JOUR AB - Julian Elliott and colleagues discuss how the current inability to keep systematic reviews up-to-date hampers the translation of knowledge into action. They propose living systematic reviews as a contribution to evidence synthesis to enhance the accuracy and utility of health evidence. AU - Elliott, Julian H. AU - Turner, Tari AU - Clavisi, Ornella AU - Thomas, James AU - Higgins, Julian P. T. AU - Mavergames, Chris AU - Gruen, Russell L. DA - 2014/02/18/ DO - 10.1371/journal.pmed.1001603 DP - PLoS Journals IS - 2 J2 - PLOS Med KW - Data management Ecosystems Health Services Research Health systems strengthening Meta-analysis Research validity Statistical data Systematic reviews L1 - http://journals.plos.org/plosmedicine/article/asset?id=10.1371/journal.pmed.1001603.PDF internal-pdf://0620089368/Elliott-2014-Living Systematic Reviews_ An Eme.pdf PY - 2014 SN - 1549-1676 SP - e1001603 ST - Living Systematic Reviews T2 - PLOS Med TI - Living Systematic Reviews: An Emerging Opportunity to Narrow the Evidence-Practice Gap UR - http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1001603 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928029/pdf/pmed.1001603.pdf VL - 11 Y2 - 2016/09/24/20:51:50 ID - 2504 ER - TY - CONF AB - The accurate extraction of scholarly reference information from scientific publications is essential for many useful applications like BIBTEX management systems or citation analysis. Automatic extraction methods suffer from the heterogeneity of reference notation, no matter weather the extraction model was handcrafted or learnt from labeled data. However, references of the same paper or journal are usually homogeneous. We exploit this local consistency with a novel approach. Given some initial information from such a reference section, we try to derived generalized patterns. These patterns are used to create a local model of the current document. The local model helps to identify errors and to improve the extracted information incrementally during the extraction process. Our approach is implemented with handcrafted transformation rules working on a meta-level being able to correct the information independent of the applied layout style. The experimental results compete very well with the state of the art methods and show an extremely high performance on consistent reference sections. AU - Kluegl, P. AU - Hotho, A. AU - Puppe, F. C3 - KI 2010: Advances in Artificial Intelligence. 33rd Annual German Conference on AI, 21-24 Sept. 2010 DA - 2010 DO - 10.1007/978-3-642-16111-7_4 KW - Citation Analysis information retrieval Publishing PB - Springer-Verlag PY - 2010 SP - 40-7 ST - Local adaptive extraction of references T3 - KI 2010: Advances in Artificial Intelligence. Proceedings 33rd Annual German Conference on AI TI - Local adaptive extraction of references UR - http://dx.doi.org/10.1007/978-3-642-16111-7_4 ID - 693 ER - TY - CONF AB - We describe a (meta) formalism, called Data Modelling Logic (DM logic), for defining a variety of (object oriented) data models in a unified framework based on first-order logic. Using NORM, an OO model, we illustrate how essential 00 properties such as information hiding, encapsulation, inheritance and behavior may be generically described, as well as the fundamental distinction with object-oriented programming, namely persistence. A formal semantics for these concepts can so be given independently of the chosen data model. DM logic has been demonstrated in earlier work to adequately support classical data models such as (E)ER, NIAM, and the Relational Model, and so-called lossless transformations between them. By programming an OO data model in DM Logic, it should become possible to arrive at objective relationships between (OO and other) data modelling techniques. Springer-Verlag Berlin Heidelberg 1995. AU - De Troyer, O. AU - Meersman, R. C3 - 14th International Conference on Object-Oriented Entity-Relationship, OOER 1995, December 13, 1995 - December 15, 1995 DA - 1995 KW - data mining Formal logic Formal methods Information analysis Object oriented programming Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 1995 SN - 03029743 SP - 238-249 ST - A logic framework for a semantics of object oriented data modelling T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - A logic framework for a semantics of object oriented data modelling VL - 1021 ID - 1009 ER - TY - JOUR AB - Objective:The purpose of the present study was to determine the impact of alcohol consumption on the incidence of hypertension.Methods:A total of 32389 male coal mine workers from Kailuan Coal Group in northern China (Kailuan study), free of hypertension, myocardial infarction, stroke, transient ischemia attack and cancer, were followed up every 2 years for 4 years. The average alcohol intake during the past year was reported as baseline.Results:During 4 years of follow-up, 9151 out of 32389 workers developed hypertension categorically. At the end of the follow-up, the cumulative incidence of hypertension in relation to daily alcoholic intake of none, 1-24, 25-49, 50-99, 100-149 and at least 150 g was 25.03, 28.82, 30.10, 37.07, 40.14 and 42.49%, respectively. After adjusting for age, we found that the relative risk of hypertension in those who were never exposed to alcohol was the lowest, with the group 25-49g/day being the next. This trend was unchanged after adjustment for age, exercise, smoking status, job type and salt intake. After further adjustment for BMI, history of high cholesterol and diabetes mellitus, a positive, linear association between alcohol consumption and the risk of hypertension was found. Models stratified by baseline SBP (<120 and 120-139 mmHg) or DBP (<80 and 80-89 mmHg) did not alter the trend.Conclusion:The Kailuan study demonstrates that long-term alcohol intake is an independent risk factor of incident hypertension in a large cohort of coal mine workers. Even light-to-moderate alcohol consumption increases the risk of incident hypertension. AU - Peng, Meng AU - Wu, Shouling AU - Jiang, Xiongjing AU - Jin, Cheng AU - Zhang, Weiguo DA - 2013/12// DO - 10.1097/HJH.0b013e3283653999 IS - 12 PY - 2013 SN - 0263-6352 SP - 2342-2347 ST - Long-term alcohol consumption is an independent risk factor of hypertension development in northern China: evidence from Kailuan study T2 - Journal of Hypertension TI - Long-term alcohol consumption is an independent risk factor of hypertension development in northern China: evidence from Kailuan study VL - 31 ID - 2267 ER - TY - JOUR AB - The goal of this study was to understand research trends and collaboration patterns together with scholarly impact within the domain of global obesity research. We developed and analysed bibliographic affiliation data collected from 117,340 research articles indexed in Scopus database on the topic of obesity and published from 1993-2012. We found steady growth and an exponential increase of publication numbers. Research output in global obesity research roughly doubled each 5 years, with almost 80% of the publications and authors from the second decade (2003-2012). The highest publication output was from the USA - 42% of publications had at least one author from the USA. Many US institutions also ranked highly in terms of research output and collaboration. Fifteen of the top-20 institutions in terms of publication output were from the USA; however, several European and Japanese research institutions ranked more highly in terms of average citations per paper. The majority of obesity research and collaboration has been confined to developed countries although developing countries have showed higher growth in recent times, e.g. the publication ratio between 2003-2012 and 1993-2002 for developing regions was much higher than that of developed regions (9:1 vs. 4:1). We also identified around 42 broad disciplines from authors' affiliation data, and these showed strong collaboration between them. Overall, this study provides one of the most comprehensive longitudinal bibliometric analyses of obesity research. This should help in understanding research trends, spatial density, collaboration patterns and the complex multi-disciplinary nature of research in the obesity domain. AU - Khan, A. AU - Choudhury, N. AU - Uddin, S. AU - Hossain, L. AU - Baur, L. A. DA - 2016/04//undefined DO - 10.1111/obr.12372 IS - 4 J2 - Obes Rev KW - Bibliometrics data-mining longitudinal trend Meta-analysis obesity L1 - internal-pdf://0386753870/Khan-2016-Longitudinal trends in global obesit.pdf LA - eng PY - 2016 SN - 1467-789X 1467-7881 SP - 377-385 ST - Longitudinal trends in global obesity research and collaboration: a review using bibliometric metadata T2 - Obesity reviews : an official journal of the International Association for the Study of Obesity TI - Longitudinal trends in global obesity research and collaboration: a review using bibliometric metadata UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/obr.12372/asset/obr12372.pdf?v=1&t=itiuo8cn&s=2cffef1488fd3742a8a33198633f0a65f6942f1a VL - 17 ID - 98 ER - TY - JOUR AB - Asbestos-related cancer risk is usually a concern restricted to occupational settings. However, recent published data on asbestos environmental concentrations in Thetford Mines, a mining city in Quebec, Canada, provided an opportunity to undertake a prospective cancer risk assessment in the general population exposed to these concentrations. Using an updated Berman and Crump dose-response model for asbestos exposure, we selected population-specific potency factors for lung cancer and mesothelioma. These factors were evaluated on the basis of population-specific cancer data attributed to the studied area's past environmental levels of asbestos. We also used more recent population-specific mortality data along with the validated potency factors to generate corresponding inhalation unit risks. These unit risks were then combined with recent environmental measurements made in the mining town to calculate estimated lifetime risk of asbestos-induced lung cancer and mesothelioma. Depending on the chosen potency factors, the lifetime mortality risks varied between 0.7 and 2.6 per 100,000 for lung cancer and between 0.7 and 2.3 per 100,000 for mesothelioma. In conclusion, the estimated lifetime cancer risk for both cancers combined is close to Health Canada's threshold for "negligible" lifetime cancer risks. However, the risks estimated are subject to several uncertainties and should be confirmed by future mortality rates attributed to present day asbestos exposure. Crown Copyright (C) 2013 Published by Elsevier GmbH. All rights reserved. AU - Bourgault, Marie-Helene AU - Gagne, Michelle AU - Valcke, Mathieu DA - 2014/03// DO - 10.1016/j.ijheh.2013.07.008 IS - 2-3 L1 - internal-pdf://4265905641/Bourgault-2014-Lung cancer and mesothelioma ri.pdf PY - 2014 SN - 1438-4639 SP - 340-346 ST - Lung cancer and mesothelioma risk assessment for a population environmentally exposed to asbestos T2 - International Journal of Hygiene and Environmental Health TI - Lung cancer and mesothelioma risk assessment for a population environmentally exposed to asbestos UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1438463913001028/1-s2.0-S1438463913001028-main.pdf?_tid=8d957136-832e-11e6-8bd9-00000aacb361&acdnat=1474814845_73a1976a0faa5a56c31846692274d730 VL - 217 ID - 2232 ER - TY - JOUR AB - Background: Studies of underground miners exposed to radioactive radon and its decay products have found that exposure increases risk of lung cancer, Consequently, when radon was found to accumulate in houses, there was concern about the public health impact from exposure to a known carcinogen, Estimates on the basis of studies of underground miners suggest that indoor radon may account for 6000-36 000 lung cancer deaths each year in the United States, Because of differences between working in underground mines and living in houses, estimates are subject to major uncertainties, Numerous case-control studies were launched to assess directly the lung cancer risk from indoor radon, Some studies report positive or weakly positive findings, while others report no increased risk, Thus, the potential hazard from indoor radon remains answered only indirectly through miner studies, experimental animal studies, and cellular studies, Purpose: To provide more information on the risk of lung cancer from indoor radon, we conducted a metaanalysis of all case-control studies that included at least 200 case subjects each and that used long-term indoor radon measurements, Methods: Eight studies were available and included a total of 4263 lung cancer case subjects and 6612 control subjects, From the published results of each study, confounder-adjusted relative risk (RR) estimates and 95% confidence intervals (CIs) for categories of radon concentration were obtained, and weighted linear regression analyses were performed, Results: The combined trend in the RR was significantly different from zero (two-sided P =.03), and an estimated RR of 1.14 (95% CI = 1.0-1.3) at 150 Bq/m(3) was found, An influence analysis indicated that no single study dominated the combined results, The exposure-response trend was similar to model-based extrapolations from miners and to RRs computed directly from miners with low cumulative exposures, However, there were significant differences in the study-specific estimates of the exposure response (two-sided P<.001), which were not explained by study differences in percent of the defined exposure interval covered by radon measurements, mean number of residences per subject, and other factors, Conclusions: Meta-analyses are valuable for identifying differences among studies and for summarizing results, but they should be interpreted cautiously when expected RRs are low as with indoor radon exposure, when there is study heterogeneity and where there is the potential for confounding and exposure misclassification, Nonetheless, the results of this meta-analysis suggest that the risk from indoor radon is not likely to be markedly greater than that predicted from miners and indicate that the negative exposure response reported in some ecologic studies is likely due to model misspecification or uncontrolled confounding and can be rejected, Implications: Until ongoing case-control studies of indoor radon are completed and the data are pooled and analyzed, the studies of underground miners remain the best source of data to use to assess risk from indoor radon. This meta-analysis provides support for their general validity. AU - Lubin, J. H. AU - Boice, J. D. DA - 1997/01/01/ DO - 10.1093/jnci/89.1.49 IS - 1 PY - 1997 SN - 0027-8874 SP - 49-57 ST - Lung cancer risk from residential radon: Meta-analysis of eight epidemiologic studies T2 - Journal of the National Cancer Institute TI - Lung cancer risk from residential radon: Meta-analysis of eight epidemiologic studies VL - 89 ID - 1913 ER - TY - JOUR AB - We analyze the lung cancer data available from the SEER program with the aim of developing accurate survival prediction models for lung cancer. Carefully designed preprocessing steps resulted in removal/modification/splitting of several attributes, and 2 of the 11 derived attributes were found to have significant predictive power. Several supervised classification methods were used on the preprocessed data along with various data mining optimizations and validations. In our experiments, ensemble voting of five decision tree based classifiers and meta-classifiers was found to result in the best prediction performance in terms of accuracy and area under the ROC curve. We have developed an on-line lung cancer outcome calculator for estimating the risk of mortality after 6 months, 9 months, 1 year, 2 year and 5 years of diagnosis, for which a smaller non-redundant subset of 13 attributes was carefully selected using attribute selection techniques, while trying to retain the predictive power of the original set of attributes. Further, ensemble voting models were also created for predicting conditional survival outcome for lung cancer (estimating risk of mortality after 5 years of diagnosis, given that the patient has already survived for a period of time), and included in the calculator. The on-line lung cancer outcome calculator developed as a result of this study is available at http://info.eecs.northwestern.edu:8080/IungCanceroutcomeCalculator/. AU - Agrawal, A. AU - Misra, S. AU - Narayanan, R. AU - Polepeddi, L. AU - Choudhary, A. DA - 2012 DO - 10.3233/SPR-2012-0335 IS - 1 J2 - Scientific Programming KW - Cancer data mining decision trees Internet medical information systems optimisation patient diagnosis pattern classification Sensitivity analysis PY - 2012 SN - 1058-9244 SP - 29-42 ST - Lung cancer survival prediction using ensemble data mining on SEER data T2 - Scientific Programming TI - Lung cancer survival prediction using ensemble data mining on SEER data UR - http://dx.doi.org/10.3233/SPR-2012-0335 http://content.iospress.com/articles/scientific-programming/spr335 VL - 20 ID - 1696 ER - TY - CONF AB - This paper proposes an extended vector space model (VSM), which is called M2VSM (meta keyword-based modified VSM). When conventional VSM is applied to document clustering, it is difficult to adjust the granularity of cluster in terms of topic. In order to solve the problem, M2VSM considers meta keywords such as adjectives and adverbs, as additional value of indexing terms. The similarity between documents is calculated by considering the matching of meta keywords for each index term, which makes it possible to cluster documents with various granularities in terms of topic. Experimental results show that clustering results by M2VSM match the results by test subjects in both rough and detailed clustering. AU - Takama, Y. AU - Ishibashi, T. C3 - 2008 World Automation Congress, 28 Sept.-2 Oct. 2008 DA - 2008 KW - data mining indexing pattern clustering text analysis PB - IEEE PY - 2008 SP - 6-pp. ST - M2VSM: extension of vector space model by introducing meta keyword T3 - 2008 World Automation Congress TI - M2VSM: extension of vector space model by introducing meta keyword ID - 1605 ER - TY - JOUR AB - Objective To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data. Design Systematic review. Data sources The electronic databases which were searched included PubMed, Cinahl, Medline, Google Scholar, and Proquest. The bibliography of all relevant articles was examined and associated articles were identified using a snowballing technique. Selection criteria For inclusion, articles were required to meet the following criteria: (a) used a health-related database, (b) focused on injury-related cases, AND used machine learning approaches to analyse textual data. Methods The papers identified through the search were screened resulting in 16 papers selected for review. Articles were reviewed to describe the databases and methodology used, the strength and limitations of different techniques, and quality assurance approaches used. Due to heterogeneity between studies meta-analysis was not performed. Results Occupational injuries were the focus of half of the machine learning studies and the most common methods described were Bayesian probability or Bayesian network based methods to either predict injury categories or extract common injury scenarios. Models were evaluated through either comparison with gold standard data or content expert evaluation or statistical measures of quality. Machine learning was found to provide high precision and accuracy when predicting a small number of categories, was valuable for visualisation of injury patterns and prediction of future outcomes. However, difficulties related to generalizability, source data quality, complexity of models and integration of content and technical knowledge were discussed. Conclusions The use of narrative text for injury surveillance has grown in popularity, complexity and quality over recent years. With advances in data mining techniques, increased capacity for analysis of large databases, and involvement of computer scientists in the injury prevention field, along with more comprehensive use and description of quality assurance methods in text mining approaches, it is likely that we will see a continued growth and advancement in knowledge of text mining in the injury field. 2015 Elsevier Ltd. All rights reserved. AU - Vallmuur, Kirsten DA - 2015 DO - 10.1016/j.aap.2015.03.018 J2 - Accident Analysis and Prevention KW - Abstracting artificial intelligence Bayesian networks Complex networks Database systems data mining Forecasting Learning systems Monitoring Occupational risks Quality Assurance Quality Control Search Engines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 00014575 SP - 41-49 ST - Machine learning approaches to analysing textual injury surveillance data: A systematic review T2 - Accident Analysis and Prevention TI - Machine learning approaches to analysing textual injury surveillance data: A systematic review UR - http://dx.doi.org/10.1016/j.aap.2015.03.018 VL - 79 ID - 1716 ER - TY - JOUR AB - Background: Risk-of-bias assessments are now a standard component of systematic reviews. At present, reviewers need to manually identify relevant parts of research articles for a set of methodological elements that affect the risk of bias, in order to make a risk-of-bias judgement for each of these elements. We investigate the use of text mining methods to automate risk-of-bias assessments in systematic reviews. We aim to identify relevant sentences within the text of included articles, to rank articles by risk of bias and to reduce the number of risk-of-bias assessments that the reviewers need to perform by hand., Methods: We use supervised machine learning to train two types of models, for each of the three risk-of-bias properties of sequence generation, allocation concealment and blinding. The first model predicts whether a sentence in a research article contains relevant information. The second model predicts a risk-of-bias value for each research article. We use logistic regression, where each independent variable is the frequency of a word in a sentence or article, respectively., Results: We found that sentences can be successfully ranked by relevance with area under the receiver operating characteristic (ROC) curve (AUC) > 0.98. Articles can be ranked by risk of bias with AUC > 0.72. We estimate that more than 33% of articles can be assessed by just one reviewer, where two reviewers are normally required., Conclusions: We show that text mining can be used to assist risk-of-bias assessments. AU - Millard, Louise A. C. AU - Flach, Peter A. AU - Higgins, Julian P. T. DA - 2016/02// DO - 10.1093/ije/dyv306 DP - PubMed Central IS - 1 J2 - Int J Epidemiol L1 - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4795562/pdf/dyv306.pdf PY - 2016 SN - 0300-5771 SP - 266-277 ST - Machine learning to assist risk-of-bias assessments in systematic reviews T2 - International Journal of Epidemiology TI - Machine learning to assist risk-of-bias assessments in systematic reviews UR - http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4795562/ VL - 45 Y2 - 2016/09/24/20:49:28 ID - 2500 ER - TY - CONF A2 - Boulicaut, J. F. A2 - Esposito, F. A2 - Pedreschi, D. A2 - Giannotti, F. AB - The proceedings contain 56 papers from the Machine Learning: ECML 2004 - 15 European Conference on Machine Learning. The topics discussed include: random matrices in data analysis; data privacy; real-world learning with Markov logic networks, strength in diversity: the advance of data analysis; filtered reinforcement learning; applying support vector machines to imbalanced datasets; a boosting approach to multiple instance learning; learning from message pairs of automatic email answering; concept formation in expressive description logics; multi-level boundary classification for information extraction; and an analysis of stopping and filtering criteria for rule learning. C3 - 15th European Conference on Machine Learning, ECML 2004, September 20, 2004 - September 24, 2004 DA - 2004 KW - Algorithms Computer Science Database systems Data privacy Decision theory Electronic mail evaluation Game theory Graph theory Learning systems Online searching Performance Principal Component Analysis Probability security of data World Wide Web XML N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2004 SN - 03029743 ST - Machine Learning: ECML 2004 - 15th European Conference on Machine Learning T3 - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) TI - Machine Learning: ECML 2004 - 15th European Conference on Machine Learning VL - 3201 ID - 635 ER - TY - JOUR AB - Macrobenthic species abundances and biomasses were determined at twelve stations from three estuarine areas of the Gulf of Cadiz (SW Spain). They are subject to different sources of pollution: urban effluents (Bay of Cadiz), agricultural/urban sewages (Barbate River Estuary) and mining/industrial sewages (Odiel River Estuary). Different univariate and multivariate techniques were used in the assessment of the community disturbance status. At the Species-level, inferences from Gray and Pearson's graphics together with multivariate MDS ordinations provided a reliable picture of the severity of the community disturbance at the twelve sampling sites. At the Phylum-level, the meta-analysis of "production" also gale a reliable disturbance status for all the stations, when new samples mere introduced in the MDS analysis one by one. These results suggest a more general applicability of the Phylum-level meta-analysis, provided that the original NE Atlantic data ordination remains unmodified. (C) 1999 Elsevier Science Ltd. All rights reserved. AU - Drake, P. AU - Baldo, F. AU - Saenz, V. AU - Arias, A. M. DA - 1999/11// DO - 10.1016/S0025-326X(99)00135-6 IS - 11 L1 - internal-pdf://1787897525/Drake-1999-Macrobenthic community structure in.pdf PY - 1999 SN - 0025-326X SP - 1038-1047 ST - Macrobenthic community structure in estuarine pollution assessment on the Gulf of Cadiz (SW Spain): is the phylum-level meta-analysis approach applicable? T2 - Marine Pollution Bulletin TI - Macrobenthic community structure in estuarine pollution assessment on the Gulf of Cadiz (SW Spain): is the phylum-level meta-analysis approach applicable? UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0025326X99001356/1-s2.0-S0025326X99001356-main.pdf?_tid=efccc15c-8332-11e6-b7e1-00000aacb35d&acdnat=1474816727_b6493986027bbb672e529095d2868f8c VL - 38 ID - 1907 ER - TY - JOUR AB - Background: Publicly available datasets of microarray gene expression signals represent an unprecedented opportunity for extracting genomic relevant information and validating biological hypotheses. However, the exploitation of this exceptionally rich mine of information is still hampered by the lack of appropriate computational tools, able to overcome the critical issues raised by meta-analysis. Results: This work presents A-MADMAN, an open source web application which allows the retrieval, annotation, organization and meta-analysis of gene expression datasets obtained from Gene Expression Omnibus. A-MADMAN addresses and resolves several open issues in the meta-analysis of gene expression data. Conclusion: A-MADMAN allows i) the batch retrieval from Gene Expression Omnibus and the local organization of raw data files and of any related meta-information, ii) the re-annotation of samples to fix incomplete, or otherwise inadequate, metadata and to create user-defined batches of data, iii) the integrative analysis of data obtained from different Affymetrix platforms through custom chip definition files and meta-normalization. Software and documentation are available online at http://compgen.bio.unipd.it/bioinfo/amadman/. AU - Bisognin, Andrea AU - Coppe, Alessandro AU - Ferrari, Francesco AU - Risso, Davide AU - Romualdi, Chiara AU - Bicciato, Silvio AU - Bortoluzzi, Stefania DA - 2009/06/29/ DO - 10.1186/1471-2105-10-201 L1 - internal-pdf://1065311705/Bisognin-2009-A-MADMAN_ Annotation-based micro.pdf PY - 2009 SN - 1471-2105 SP - 201 ST - A-MADMAN: Annotation-based microarray data meta-analysis tool T2 - Bmc Bioinformatics TI - A-MADMAN: Annotation-based microarray data meta-analysis tool UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2711946/pdf/1471-2105-10-201.pdf VL - 10 ID - 1915 ER - TY - JOUR AB - MOTIVATION: Meta-analysis of large gene expression datasets obtained from public repositories requires consistently annotated data. Curation of such experiments, however, is an expert activity which involves repetitive manipulation of text. Existing tools for automated curation are few, which bottleneck the analysis pipeline. RESULTS: We present MageComet, a web application for biologists and annotators that facilitates the re-annotation of gene expression experiments in AU - Xue, Vincent AU - Burdett, Tony AU - Lukk, Margus AU - Taylor, Julie AU - Brazma, Alvis AU - Parkinson, Helen DA - 2012/05/15/ DO - 10.1093/bioinformatics/bts148 IS - 10 J2 - Bioinformatics KW - *Databases, Genetic *Internet *Molecular Sequence Annotation data mining Meta-Analysis as Topic Transcriptome LA - eng PY - 2012 SN - 1367-4811 1367-4803 SP - 1402-1403 ST - MageComet--web application for harmonizing existing large-scale experiment descriptions T2 - Bioinformatics (Oxford, England) TI - MageComet--web application for harmonizing existing large-scale experiment descriptions VL - 28 ID - 43 ER - TY - JOUR AB - MAGIA (miRNA and genes integrated analysis) is a novel web tool for the integrative analysis of target predictions, miRNA and gene expression data. MAGIA is divided into two parts: the query section allows the user to retrieve and browse updated miRNA target predictions computed with a number of different algorithms (PITA, miRanda and Target Scan) and Boolean combinations thereof. The analysis section comprises a multistep procedure for (i) direct integration through different functional measures (parametric and non-parametric correlation indexes, a variational Bayesian model, mutual information and a meta-analysis approach based on P-value combination) of mRNA and miRNA expression data, (ii) construction of bipartite regulatory network of the best miRNA and mRNA putative interactions and (iii) retrieval of information available in several public databases of genes, miRNAs and diseases and via scientific literature text-mining. MAGIA is freely available for Academic users at http://gencomp.bio.unipd.it/magia. AU - Sales, Gabriele AU - Coppe, Alessandro AU - Bisognin, Andrea AU - Biasiolo, Marta AU - Bortoluzzi, Stefania AU - Romualdi, Chiara DA - 2010/07//undefined DO - 10.1093/nar/gkq423 IS - Web Server issue J2 - Nucleic Acids Res KW - *Gene Expression Profiling *Software gene expression Gene Regulatory Networks Humans Internet MicroRNAs/*metabolism RNA, Messenger/*metabolism LA - eng PY - 2010 SN - 1362-4962 0305-1048 SP - W352-359 ST - MAGIA, a web-based tool for miRNA and Genes Integrated Analysis T2 - Nucleic acids research TI - MAGIA, a web-based tool for miRNA and Genes Integrated Analysis VL - 38 ID - 293 ER - TY - JOUR AB - The metasedimentary Meguma Group consists of Goldenville Formation meta-greywackes and quartzites with minor occurrences of green slates conformably overlain by Halifax Formation black slates. Elongate positive magnetic anomalies parallel to bedding strike occur over the Halifax Formation. Analysis of rock samples of Halifax Formation with a recording thermomagnetic balance indicates that pyrrhotite is the dominant magnetic constituent and therefore the probable cause of the anomalies. The pyrrhotite phase is Fe7S8, lacks Fe9S10 intergrowths, and occurs as lenses up to 2 cm long along the cleavage planes. It was determined that 1 wt% Fe7S8 corresponds to a bulk magnetic susceptibility of 2.210-3 SI. The pyrrhotite concentrations within the Halifax Formation were modelled from aeromagnetic profiles using MAGRAV2, a 2.5-dimensional interactive computer program. The model geometry was constrained by bedding strike/dip measurements. Remanent magnetization data were inadequate so modelling was based on the induced component only. The models indicate that pyrrhotite concentrations of 6-12 wt% are required to match the observed anomalies. These values are higher than the 2 wt% concentration determined from surface sample measurements. The combined use of rock properties measurements, aeromagnetic image analysis, and modelling can be used to define subsurface fold geometry which is of interest to gold explorationists, because the gold occurrences in the area are structurally controlled. AU - Schwarz, Erik J. AU - Broome, John DA - 1994 DO - 10.1016/0926-9851(94)90005-1 IS - 1 J2 - Journal of Applied Geophysics KW - COMPUTER software Geomagnetism Gold mines Image analysis Magnetic prospecting Mathematical models Ore deposit geology Petrology Remanence Sedimentary rocks Slate Sulfide minerals N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 1994 SN - 09269851 SP - 1-10 ST - Magnetic anomalies due to pyrrhotite in Paleozoic metasediments in Nova Scotia, eastern Canada T2 - Journal of Applied Geophysics TI - Magnetic anomalies due to pyrrhotite in Paleozoic metasediments in Nova Scotia, eastern Canada UR - http://dx.doi.org/10.1016/0926-9851(94)90005-1 VL - 32 ID - 543 ER - TY - JOUR AU - Weiss, Helen A. AU - Thomas, S. L. AU - Munabi, S. K. AU - Hayes, Richard J. DA - 2006 DP - Google Scholar IS - 2 PY - 2006 SP - 101-110 ST - Male circumcision and risk of syphilis, chancroid, and genital herpes T2 - Sexually transmitted infections TI - Male circumcision and risk of syphilis, chancroid, and genital herpes: a systematic review and meta-analysis UR - http://sti.bmj.com/content/82/2/101.short VL - 82 Y2 - 2016/09/24/15:36:22 ID - 2345 ER - TY - JOUR AB - Recent smartphone platforms based on new operating systems, such as iOS, Android, or Windows Phone, have been a huge success in recent years and open up many new opportunities. Unfortunately, 2011 also showed us that the new technologies and the privacy-related data on smartphones are also increasingly interesting for attackers. Especially, the Android platform has been the favorite target for malware, mainly because of the openness of the platform, the ability to install applications from other sources than the Android Market, and the significant gains in market share. Although the processes of detecting and analyzing malware are well known from the PC world, where the arms race between attackers and defenders has continued for the past 15 years, they cannot be directly applied to smartphone platforms because of differences in the hardware and software architectures. In this paper, we first give an overview of the current malware situation on smartphone platforms with a special focus on Android and explain relevant malware detection and analysis methods. It turns out that most of the current malware relies on the installation by the user, who represents the last line of defense in malware detection. With these conclusions, we then present a new malware detection method that focuses on the information that the user is able to see prior to the installation of an application-the metadata within the platform's software market. Depending on the platform, this includes the application's description, its permissions, the ratings, or information about the developer. To analyze these data, we use sophisticated knowledge discovery processes and lean statistical methods. By presenting a wide range of examples based on real application metadata extracted from the Android Market, we show the possibilities of the new method. With the possibilities, we argue that it should be an essential part of a complete malware analysis/detection chain that includes other well-known methods such as network traffic analysis, or static, or dynamic code inspection. Copyright 2013 John Wiley Sons, Ltd. AU - Teufl, P. AU - Ferk, M. AU - Fitzek, A. AU - Hein, D. AU - Kraxberger, S. AU - Orthacker, C. DA - 2016/03/25/ DO - 10.1002/sec.675 IS - 5 J2 - Security and Communication Networks KW - Android (operating system) data mining invasive software meta data smart phones statistical analysis PY - 2016 SN - 1939-0114 SP - 389-419 ST - Malware detection by applying knowledge discovery processes to application metadata on the Android Market (Google Play) T2 - Security and Communication Networks TI - Malware detection by applying knowledge discovery processes to application metadata on the Android Market (Google Play) UR - http://dx.doi.org/10.1002/sec.675 VL - 9 ID - 1177 ER - TY - CONF AB - We introduce a new representation for monitored behavior of malicious software called Malware Instruction Set (MIST). The representation is optimized for effective and efficient analysis of behavior using data mining and machine learning techniques. It can be obtained automatically during analysis of malware with a behavior monitoring tool or by converting existing behavior reports. The representation is not restricted to a particular monitoring tool and thus can also be used as a meta language to unify behavior reports of different sources. AU - Trinius, Philipp AU - Willems, Carsten AU - Holz, Thorsten AU - Rieck, Konrad C3 - Sicherheit 2010 - Sicherheit, Schutz und Zuverlassigkeit Beitrage der 5. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft fur Informatik e.V. (GI) - 5th Annual Conference of the Department of Security of the Society for Informatics, October 5, 2010 - October 7, 2010 DA - 2010 KW - Computer crime Learning systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Gesellschaft fur Informatik (GI) PY - 2010 SN - 16175468 SP - 205-215 ST - A malware instruction set for behavior-based analysis T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI) TI - A malware instruction set for behavior-based analysis VL - P-170 ID - 1343 ER - TY - CONF AB - Systematic Literature Review (SR) and Systematic Mappings (SM) are scientific literature review techniques that follow well-defined stages, according to a protocol previously elaborated. The goal is helping in finding evidence about a particular research topic and mapping a research area, respectively. Their steps are laborious and a computational support is essential to improve the quality of their conduction. Aiming to offer computational support to these types of reviews, the StArt (State of the Art through Systematic Review) tool was developed. Besides the expected functionalities, StArt generates studies score, uses information visualization and text mining techniques to facilitate the research area mapping and to identify the studies relevance. StArt has been developed through an incremental process by academics who adopt SR and SM. As the expectation is to have a tool that really aids the conduction of these types of reviews, new ideas are always investigated and make StArt different from other alternatives. Visualization and text mining techniques seems to be a powerful resource for facilitating data abstraction in the context of SRs and SMs, allowing the improvement of the review and the conclusions about it. AU - Fabbri, Sandra AU - Hernandes, Elis AU - Di Thommazo, Andre AU - Belgamo, Anderson AU - Zamboni, Augusto AU - Silva, Cleiton C3 - 14th International Conference on Enterprise Information Systems, ICEIS 2012, June 28, 2012 - July 1, 2012 DA - 2012 KW - data mining Flow visualization Information systems Mapping Research TOOLS visualization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Conference on Enterprise Information PY - 2012 SP - 36-45 ST - Managing Literature reviews information through visualization T3 - ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems TI - Managing Literature reviews information through visualization VL - 2 ISAS ID - 1026 ER - TY - JOUR AU - Hu, Nan AU - Bose, Indranil AU - Koh, Noi Sian AU - Liu, Ling DA - 2012 DP - Google Scholar IS - 3 L1 - https://www.researchgate.net/profile/Ling_Liu23/publication/220195985_Manipulation_of_online_reviews_An_analysis_of_ratings_readability_and_sentiments/links/54b7c5e00cf28faced606fea.pdf PY - 2012 SP - 674-684 ST - Manipulation of online reviews T2 - Decision Support Systems TI - Manipulation of online reviews: An analysis of ratings, readability, and sentiments UR - http://www.sciencedirect.com/science/article/pii/S0167923611002065 VL - 52 Y2 - 2016/09/24/15:39:54 ID - 2385 ER - TY - JOUR AB - The prediction of the translation initiation site in a genomic sequence with the highest possible accuracy is an important problem that still has to be investigated by the research community. Current approaches perform quite well, however there is still room for a more general framework for the researchers who want to follow an effective and reliable methodology. We developed a prediction methodology that combines ad hoc as well as discovered knowledge in order to significantly increase the achieved accuracy reliably. Our methodology is modular and consists of three major decision components: a consensus component, a coding region classification component and a novel ATG location-based component that allows for the utilization of the advantages of the popular Ribosome Scanning Model while overcoming its limitations. All three of them are combined into a meta-classification system, using stacked generalization, in a highly effective prediction framework. We performed extensive comparative experiments on four different datasets, showing that the increase in terms of accuracy and adjusted accuracy is not only statistically significant, but also the highest reported. AU - Tzanis, George AU - Berberidis, Christos AU - Vlahavas, Ioannis DA - 2007 DO - 10.1109/IEMBS.2007.4353806 J2 - Conf Proc IEEE Eng Med Biol Soc KW - *Database Management Systems *Peptide Chain Initiation, Translational Animals Forecasting Humans LA - eng PY - 2007 SN - 1557-170X 1557-170X SP - 6344-6348 ST - MANTIS: a data mining methodology for effective translation initiation site prediction T2 - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference TI - MANTIS: a data mining methodology for effective translation initiation site prediction VL - 2007 ID - 384 ER - TY - JOUR AB - Relative to European Americans, type 2 diabetes (T2D) is more prevalent in African Americans (AAs). Genetic variation may modulate transcript abundance in insulin-responsive tissues and contribute to risk; yet, published studies identifying expression quantitative trait loci (eQTLs) in African ancestry populations are restricted to blood cells. This study aims to develop a map of genetically regulated transcripts expressed in tissues important for glucose homeostasis in AAs, critical for identifying the genetic etiology of T2D and related traits. Quantitative measures of adipose and muscle gene expression, and genotypic data were integrated in 260 non-diabetic AAs to identify expression regulatory variants. Their roles in genetic susceptibility to T2D, and related metabolic phenotypes, were evaluated by mining GWAS datasets. eQTL analysis identified 1971 and 2078 cis-eGenes in adipose and muscle, respectively. Cis-eQTLs for 885 transcripts including top cis-eGenes CHURC1, USMG5, and ERAP2 were identified in both tissues. 62.1 % of top cis-eSNPs were within +/-50 kb of transcription start sites and cis-eGenes were enriched for mitochondrial transcripts. Mining GWAS databases revealed association of cis-eSNPs for more than 50 genes with T2D (e.g. PIK3C2A, RBMS1, UFSP1), gluco-metabolic phenotypes (e.g. INPP5E, SNX17, ERAP2, FN3KRP), and obesity (e.g. POMC, CPEB4). Integration of GWAS meta-analysis data from AA cohorts revealed the most significant association for cis-eSNPs of ATP5SL and MCCC1 genes, with T2D and BMI, respectively. This study developed the first comprehensive map of adipose and muscle tissue eQTLs in AAs (publically accessible at https://mdsetaa.phs.wakehealth.edu ) and identified genetically regulated transcripts for delineating genetic causes of T2D, and related metabolic phenotypes. AU - Sajuthi, Satria P. AU - Sharma, Neeraj K. AU - Chou, Jeff W. AU - Palmer, Nicholette D. AU - McWilliams, David R. AU - Beal, John AU - Comeau, Mary E. AU - Ma, Lijun AU - Calles-Escandon, Jorge AU - Demons, Jamehl AU - Rogers, Samantha AU - Cherry, Kristina AU - Menon, Lata AU - Kouba, Ethel AU - Davis, Donna AU - Burris, Marcie AU - Byerly, Sara J. AU - Ng, Maggie C. Y. AU - Maruthur, Nisa M. AU - Patel, Sanjay R. AU - Bielak, Lawrence F. AU - Lange, Leslie A. AU - Guo, Xiuqing AU - Sale, Michele M. AU - Chan, Kei Hang K. AU - Monda, Keri L. AU - Chen, Gary K. AU - Taylor, Kira AU - Palmer, Cameron AU - Edwards, Todd L. AU - North, Kari E. AU - Haiman, Christopher A. AU - Bowden, Donald W. AU - Freedman, Barry I. AU - Langefeld, Carl D. AU - Das, Swapan K. DA - 2016/08//undefined DO - 10.1007/s00439-016-1680-8 IS - 8 J2 - Hum Genet LA - eng PY - 2016 SN - 1432-1203 0340-6717 SP - 869-880 ST - Mapping adipose and muscle tissue expression quantitative trait loci in African Americans to identify genes for type 2 diabetes and obesity T2 - Human genetics TI - Mapping adipose and muscle tissue expression quantitative trait loci in African Americans to identify genes for type 2 diabetes and obesity VL - 135 ID - 188 ER - TY - CONF AB - Huge amounts of textual information relevant for market analysis, trending or product monitoring can be found on the Web. To make use of that information a number of text mining services were proposed that extract and categorize entities from given text. Such services have individual strengths and weaknesses so that merging results from multiple services can improve quality. To merge results, mappings between service taxonomies are needed since different taxonomies are used for categorizing extracted information. The mappings can potentially be computed by using ontology matching systems. However, the available meta data within most taxonomies is weak so that ontology matching systems currently return insufficient results. In this paper we propose a novel approach to enrich service taxonomies with instance information which is crucial for finding mappings. Based on the found instances we present a novel instance-based matching technique and metric that allows us to automatically identify equal, hierarchical and associative mappings. These mappings can be used for merging results of multiple extraction services. We broadly evaluate our matching approach on real world service taxonomies and compare to state-of-the-art approaches. AU - Pfeifer, K. AU - Peukert, E. C3 - KDIR & KMIS 2013. International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing, 19-22 Sept. 2013 DA - 2013 KW - data mining meta data ontologies (artificial intelligence) Pattern matching text analysis PB - INSTICC Press PY - 2013 SP - 5-16 ST - Mapping Text Mining Taxonomies T3 - KDIR KMIS 2013. Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing TI - Mapping Text Mining Taxonomies ID - 1723 ER - TY - JOUR AB - The recent growth of consumer-generated media (CGM), also known as "new" media, has changed the interaction between consumers and firms from being unidirectional to being bidirectional. However, CGM are almost always accompanied by traditional media (such as TV advertising). This research addresses the critical question of whether new and traditional media reinforce or damage one another's effectiveness. This question is important because traditional media, in which a manufacturer creates and delivers content to consumers, consume a firm's resources. In contrast to these paid media, new media (in which consumers create content and this content is exchanged between other consumers and potentially between manufacturers) are primarily available for free. This question becomes even more salient when new product launches are involved, as firms typically allocate approximately half of their marketing budgets to support new products. One of the most prevalent forms of new media is blogging. Therefore, we assemble a unique data set from Japan that contains market outcomes (sales) for new products, new media (blogs) and traditional media (TV advertising) in the movie category. We specify a simultaneous equation log-linear system for market outcomes and the volume of blogs. Our results suggest that new and traditional media act synergistically, that pre-launch TV advertising spurs blogging activity but becomes less effective during the post-launch period and that market outcomes have an effect on blogging quantity. We find detailed support for some of these results via a unique and novel text-mining analysis and replicate our findings for a second product category, cellular phone service. We also discuss the managerial implications of our findings. (C) 2012 Elsevier B.V. All rights reserved. AU - Onishi, Hiroshi AU - Manchanda, Puneet DA - 2012/09// DO - 10.1016/j.ijresmar.2011.11.003 IS - 3 PY - 2012 SN - 0167-8116 SP - 221-234 ST - Marketing activity, blogging and sales T2 - International Journal of Research in Marketing TI - Marketing activity, blogging and sales VL - 29 ID - 2209 ER - TY - CONF AB - Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from the Internet and learn customers' preferences for economic or marketing research, or for leveraging a strategic advantage. In this paper, we propose a two-stage Bayesian algorithm that is able to capture the dependencies among words, and, at the same time, finds a vocabulary that is efficient for the purpose of extracting sentiments. Experimental results on online movie reviews and online news show that our algorithm is able to select a parsimonious feature set with substantially fewer predictor variables than in the full data set and leads to better predictions about sentiment orientations than several state-of-the-art machine learning methods. Our findings suggest that sentiments are captured by conditional dependence relations among words, rather than by keywords or high-frequency words. Springer-Verlag Berlin Heidelberg 2006. AU - Airoldi, Edoardo AU - Bai, Xue AU - Padman, Rema C3 - 6th International Workshop on Knowledge Discovery on the Web, WebKDD 2004, August 22, 2004 - August 25, 2004 DA - 2006 KW - Algorithms data mining Heuristic methods Internet Learning systems Metadata Problem solving Search Engines Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2006 SN - 03029743 SP - 167-187 ST - Markov Blankets and meta-heuristics search: Sentiment extraction from unstructured texts T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Markov Blankets and meta-heuristics search: Sentiment extraction from unstructured texts VL - 3932 LNAI ID - 1567 ER - TY - JOUR AB - The enormous amount of data available in public gene expression repositories such as Gene Expression Omnibus (GEO) offers an inestimable resource to explore gene expression programs across several organisms and conditions. This information can be used to discover experiments that induce similar or opposite gene expression patterns to a given query, which in turn may lead to the discovery of new relationships among diseases, drugs or pathways, as well as the generation of new hypotheses. In this work, we present MARQ, a web-based application that allows researchers to compare a query set of genes, e. g. a set of over-and under-expressed genes, against a signature database built from GEO datasets for different organisms and platforms. MARQ offers an easy-to-use and integrated environment to mine GEO, in order to identify conditions that induce similar or opposite gene expression patterns to a given experimental condition. MARQ also includes additional functionalities for the exploration of the results, including a meta-analysis pipeline to find genes that are differentially expressed across different experiments. The application is freely available at http://marq.dacya.ucm.es. AU - Vazquez, Miguel AU - Nogales-Cadenas, Ruben AU - Arroyo, Javier AU - Botias, Pedro AU - Garcia, Raul AU - Carazo, Jose M. AU - Tirado, Francisco AU - Pascual-Montano, Alberto AU - Carmona-Saez, Pedro DA - 2010/07// DO - 10.1093/nar/gkq476 PY - 2010 SN - 0305-1048 SP - W228-W232 ST - MARQ: an online tool to mine GEO for experiments with similar or opposite gene expression signatures T2 - Nucleic Acids Research TI - MARQ: an online tool to mine GEO for experiments with similar or opposite gene expression signatures VL - 38 ID - 1965 ER - TY - RPRT AB - A mass spectral scheme of analysis was devised which can be used to identify individually a single compound from a larger group of similar compounds. Mass spectra for 32 alkyl aryl sulfides are provided for future reference work, and analytical correlations used in producing the analytical scheme are discussed. Some of the correlations show that base peaks are either the same mass as the parent peaks or may be derived from cleavage alpha to the sulfur atom with migration of one hydrogen to the sulfur atom. Other spectral consistencies provide means of separating ortho-, meta-, and para-tolyl arrangements in an overall analytical scheme. Determinations of chain lengths and separation of isomeric species are also discussed. (Author) AU - Dooley, J. E. AU - Kendall, R. F. CY - United States DA - 1972 KW - Correlations Mass spectra Mass spectroscopy Molecular weight Organic sulfides Tables(Data) N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 1972 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 23p ST - Mass Spectra and Analytical Correlations for 32 Alkyl Aryl Sulfides TI - Mass Spectra and Analytical Correlations for 32 Alkyl Aryl Sulfides ID - 473 ER - TY - CONF AB - Biologically inspired metaheuristic techniques for exatracting salient features from mass spectrometry data has been recently gaining momentum among related fields of research viz., bioinformatics and proteomics. Such sophisticated approaches provide efficient ways to mine voluminous mass spectrometry data in order to extract potential features by getting rid of redundant information. This feature extraction process ultimately aids in discovering disease-related protein patterns in complex mixtures that is easily obtained from biological fluids such as serum and urine. This article provides an overview of such typical bio-inspired approaches. 2011 IEEE. AU - Syarifah Adilah, M. Y. AU - Venkat, Ibrahim AU - Abdullah, Rosni AU - Yusof, Umi Kalsom C3 - 6th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2011, September 27, 2011 - September 29, 2011 DA - 2011 DO - 10.1109/BIC-TA.2011.7 KW - bioinformatics Body fluids Computation theory feature extraction Heuristic methods Mass Spectrometry Molecular biology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 SP - 75-79 ST - Mass spectrometry analysis via metaheuristic optimization algorithms T3 - Proceedings - 2011 6th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2011 TI - Mass spectrometry analysis via metaheuristic optimization algorithms UR - http://dx.doi.org/10.1109/BIC-TA.2011.7 ID - 1013 ER - TY - CONF AB - Automatic summarization is need of the era. Mathematics is an important tool of nonfigurative thinking. A mathematic model of automatic summarization is established and discussed in the paper. The model makes use of meta-knowledge to describe the composition of the summary and help to calculate the semantic distance between summary and source document. It is proposed that how to get meta-knowledge aggregate and their weight are the key problems in the model. AU - Zhiqi, Wang AU - Yongcheng, Wang AU - Kai, Gao C3 - Fuzzy Systems and Knowledge Discovery. Second International Conference, FSKD 2005. Proceedings, Part I, 27-29 Aug. 2005 DA - 2005 KW - data mining mathematics text analysis PB - Springer-Verlag PY - 2005 SP - 199-202 ST - A mathematic model for automatic summarization T3 - Fuzzy Systems and Knowledge Discovery. Second International Conference, FSKD 2005. Proceedings, Part I (Lecture Notes in Artificial Intelligence Vol. 3613) TI - A mathematic model for automatic summarization ID - 1323 ER - TY - JOUR AB - Background: maxdLoad2 is a relational database schema and Java(R) application for microarray experimental annotation and storage. It is compliant with all standards for microarray meta-data capture; including the specification of what data should be recorded, extensive use of standard ontologies and support for data exchange formats. The output from maxdLoad2 is of a form acceptable for submission to the ArrayExpress microarray repository at the European Bioinformatics Institute. maxdBrowse is a PHP web-application that makes contents of maxdLoad2 databases accessible via web-browser, the command-line and web-service environments. It thus acts as both a dissemination and data-mining tool. Results: maxdLoad2 presents an easy-to-use interface to an underlying relational database and provides a full complement of facilities for browsing, searching and editing. There is a tree-based visualization of data connectivity and the ability to explore the links between any pair of data elements, irrespective of how many intermediate links lie between them. Its principle novel features are: the flexibility of the meta-data that can be captured, the tools provided for importing data from spreadsheets and other tabular representations, the tools provided for the automatic creation of structured documents, the ability to browse and access the data via web and web-services interfaces. Within maxdLoad2 it is very straightforward to customise the meta-data that is being captured or change the definitions of the meta-data. These meta-data definitions are stored within the database itself allowing client software to connect properly to a modified database without having to be specially configured. The meta-data definitions ( configuration file) can also be centralized allowing changes made in response to revisions of standards or terminologies to be propagated to clients without user intervention. maxdBrowse is hosted on a web-server and presents multiple interfaces to the contents of maxd databases. maxdBrowse emulates many of the browse and search features available in the maxdLoad2 application via a web-browser. This allows users who are not familiar with maxdLoad2 to browse and export microarray data from the database for their own analysis. The same browse and search features are also available via command-line and SOAP server interfaces. This both enables scripting of data export for use embedded in data repositories and analysis environments, and allows access to the maxd databases via web-service architectures. Conclusion: maxdLoad2 http://www.bioinf.man.ac.uk/microarray/maxd/and maxdBrowse http:// dbk.ch.umist.ac.uk/maxdBrowse are portable and compatible with all common operating systems and major database servers. They provide a powerful, flexible package for annotation of microarray experiments and a convenient dissemination environment. They are available for download and open sourced under the Artistic License. AU - Hancock, D. AU - Wilson, M. AU - Velarde, G. AU - Morrison, N. AU - Hayes, A. AU - Hulme, H. AU - Wood, A. J. AU - Nashar, K. AU - Kell, D. B. AU - Brass, A. DA - 2005/11/03/ DO - 10.1186/1471-2105-6-264 L1 - internal-pdf://3344257963/Hancock-2005-maxdLoad2 and maxdBrowse_ standar.pdf PY - 2005 SN - 1471-2105 SP - 264 ST - maxdLoad2 and maxdBrowse: standards-compliant tools for microarray experimental annotation, data management and dissemination T2 - Bmc Bioinformatics TI - maxdLoad2 and maxdBrowse: standards-compliant tools for microarray experimental annotation, data management and dissemination UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1298287/pdf/1471-2105-6-264.pdf VL - 6 ID - 2183 ER - TY - CHAP A2 - Negoita, M. G. A2 - Reusch, B. AB - Maximizing combustion efficiency with minimizing emissions is of importance to electric power industry. In this research, the impact of data transformation on boiler efficiency is investigated. The study showed that the data transformed with wavelet algorithms (Haar and Daubechies) provided better cross-validation accuracy, while moving average and wavelets resulted in similar prediction accuracy. The relationship between the length of the control horizon and prediction accuracy is studied. The study shows that the control horizon of a 3-hour to a half-week long provided acceptable prediction accuracy. An ensemble predictive model of the two control horizons is proposed to increase prediction accuracy. The research findings have established foundation for maximizing combustion efficiency by introduction of meta-controllers based on data mining algorithms. Key words: Combustion efficiency, data transformation, wavelets, control. horizon,, neighborhood analysis. AU - Kusiak, A. AU - Shah, S. PY - 2005 SN - 3-540-25006-9 SP - 283-295 ST - Maximization of combustion efficiency: A data mining approach T2 - Real World Applications of Computational Intelligence TI - Maximization of combustion efficiency: A data mining approach VL - 179 ID - 2008 ER - TY - JOUR AB - Mayday is a workbench for visualization, analysis and storage of microarray data. It features a graphical user interface and supports the development and integration of existing and new analysis methods. Besides the infrastructural core functionality, Mayday offers a variety of plug-ins, such as various interactive viewers, a connection to the R statistical environment, a connection to SQL-based databases and different data mining methods, including WEKA-library based methods for classification and various clustering methods. In addition, so-called meta information objects are provided for annotation of the microarray data allowing integration of data from different sources, which is a feature that, for instance, is employed in the enhanced heatmap visualization. AU - Dietzsch, J. AU - Gehlenborg, N. AU - Nieselt, K. DA - 2006/04/15/ DO - 10.1093/bioinformatics/btl070 IS - 8 L1 - internal-pdf://2980698998/Dietzsch-2006-Mayday - a microarray data analy.pdf PY - 2006 SN - 1367-4803 SP - 1010-1012 ST - Mayday - a microarray data analysis workbench T2 - Bioinformatics TI - Mayday - a microarray data analysis workbench UR - http://bioinformatics.oxfordjournals.org/content/22/8/1010.full.pdf VL - 22 ID - 2082 ER - TY - CONF AB - Medical systems increasingly demand methods to deal with the large amount of images that are daily generated. Therefore, the development of fast and scalable applications to store and retrieve images in large repositories becomes an important concern. Moreover, it is necessary to handle textual and content-based queries over such data coupled with DICOM image metadata and their visual patterns. While DBMSs have been extensively used to manage applications' textual information, content-based processing tasks usually rely on specific solutions. Most of these solutions are targeted to relatively small and controlled datasets, being unfeasible to be employed in real medical environments that deal with voluminous databases. Moreover, since in existing systems the content-based retrieval is detached from the DBMS, queries integrating content- and metadata-based predicates are executed isolated, having their results joined in additional steps. It is easy to realize that this approach prevent from many optimizations that would be employed in an integrated retrieval engine. In this paper we describe the MedFMI-SiR system, which handles medical data joining textual information, such as DICOM tags, and intrinsic image features integrated in the retrieval process. The goal of our approach is to provide a subsystem that can be shared by many complex data applications, such as data analysis and mining tools, providing fast and reliable content-based access over large sets of images. We present experiments that show that MedFMI-SiR is a fast and scalable solution, being able to quickly answer integrated content- and metadata-based queries over a terabyte-sized database with more than 10 million medical images from a large clinical hospital. AU - Kaster, D. S. AU - Bugatti, P. H. AU - Ponciano-Silva, M. AU - Traina, A. J. M. AU - Marques, P. M. A. AU - Santos, A. C. AU - Traina, C., Jr. C3 - Information Technology in Bio- and Medical Informatics. Second International Conference, ITBAM 2011, 31 Aug.-1 Sept. 2011 DA - 2011 DO - 10.1007/978-3-642-23208-4_2 KW - content-based retrieval image retrieval medical image processing meta data visual databases PB - Springer Berlin Heidelberg PY - 2011 SP - 16-30 ST - MedFMI-SiR: A Powerful DBMS Solution for Large-Scale Medical Image Retrieval T3 - Information Technology in Bio- and Medical Informatics. Proceedings Second International Conference, ITBAM 2011 TI - MedFMI-SiR: A Powerful DBMS Solution for Large-Scale Medical Image Retrieval UR - http://dx.doi.org/10.1007/978-3-642-23208-4_2 ID - 622 ER - TY - CONF AB - Recently, one of the main issues of concern within the world wide Web is the understanding of Web 2.0 mass collaboration systems. These systems have emerged in recent years and gained enormous popularity. It must, however, be pointed out, that the potential and practical application of Web 2.0 are still not well understood and deserve academic attention. In this paper we investigate the online media sharing collaborative community and its applications for uses in stock market analysis and prediction. Specifically, we look at Youtube.com, one of the most popular social media sharing Websites. The association with stock market behaviour and usage patterns are investigated. This work became of more interest and significance with the recent credit crunch crisis. The data under investigation is novel, and to our knowledge, this paper reports the first investigation of its kind to the use of collaborative media sharing Website for stock market analysis. We find significant association between video meta-data and textual data using a content driven sentiment text mining approach. The results are very encouraging and importantly highlight efficient information transfer to online media sharing communities as there seems to be predictive value in youtube data. 2009 IADIS. AU - Sykora, Martin AU - Panek, Marek C3 - IADIS International Conference WWW/Internet 2009, ICWI 2009, November 19, 2009 - November 22, 2009 DA - 2009 KW - Commerce data mining Finance Financial markets information retrieval Websites World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IADIS PY - 2009 SP - 197-204 ST - Media sharing Websites and the us financial market T3 - Proceedings of the IADIS International Conference WWW/Internet 2009, ICWI 2009 TI - Media sharing Websites and the us financial market VL - 1 ID - 907 ER - TY - BOOK AU - Chen, Hsinchun AU - Fuller, Sherrilynne S. AU - Friedman, Carol AU - Hersh, William DA - 2006 DP - Google Scholar L1 - http://bmiweb.biostat.wisc.edu/sites/default/files/tr_155_2s.pdf PB - Springer Science & Business Media PY - 2006 ST - Medical informatics TI - Medical informatics: knowledge management and data mining in biomedicine UR - https://books.google.com/books?hl=en&lr=&id=ku0ubWDKFZgC&oi=fnd&pg=PR18&dq=text+mining+systematic+reviews+&ots=HTxd9h5jVO&sig=1ZISqdH9pj3UNh17hlWUAos_WWE https://books.google.com/books?hl=en&lr=&id=ku0ubWDKFZgC&oi=fnd&pg=PR18&dq=text+mining+systematic+reviews+&ots=HTxd9h5jVO&sig=1ZISqdH9pj3UNh17hlWUAos_WWE#v=onepage&q&f=false VL - 8 Y2 - 2016/09/24/15:39:07 ID - 2368 ER - TY - JOUR AB - This meta-analysis examines the influence of electronic communication media on group idea generation tasks. Data from the following three areas of the brainstorming literature are synthesized to assess differences across performance variables and group member satisfaction: (1) electronic brainstorming (EBS) groups versus traditional face-to-face (FTF) interacting groups, (2) EBS groups versus nominal groups, and (3) EBS versus electronic nominal (e-nominal) groups. The results of this integration show that EBS groups are more productive and more satisfied with the interaction process than FTF groups. Additionally, large EBS groups outperformed nominal groups, whereas small nominal groups outperformed EBS groups. These findings have important implications for electronic collaboration and teamwork in both academic and organizational settings, especially given the recent proliferation of virtual teamwork. 2005 Elsevier Ltd. All rights reserved. AU - DeRosa, Darleen M. AU - Smith, Carter L. AU - Hantula, Donald A. DA - 2007 DO - 10.1016/j.chb.2005.07.003 IS - 3 J2 - Computers in Human Behavior KW - Computer supported cooperative work data mining Decision support systems Electronic communities Societies and institutions Virtual reality L1 - internal-pdf://2328268795/DeRosa-2007-The medium matters_ Mining the lon.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2007 SN - 07475632 SP - 1549-1581 ST - The medium matters: Mining the long-promised merit of group interaction in creative idea generation tasks in a meta-analysis of the electronic group brainstorming literature T2 - Including the Special Issue: Avoiding Simplicity, Confronting Complexity: Advances in Designing Powerful Electronic Learning Environments TI - The medium matters: Mining the long-promised merit of group interaction in creative idea generation tasks in a meta-analysis of the electronic group brainstorming literature UR - http://dx.doi.org/10.1016/j.chb.2005.07.003 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0747563205000506/1-s2.0-S0747563205000506-main.pdf?_tid=59da8c1a-8332-11e6-b456-00000aab0f6b&acdnat=1474816476_8eb15921cef8940654eb58caa4a15655 VL - 23 ID - 1790 ER - TY - JOUR AB - Background/Aim. The lack of effective therapy for advanced stages of melanoma emphasizes the importance of preventive measures and screenings of population at risk. Identifying individuals at high risk should allow targeted screenings and follow-up involving those who would benefit most. The aim of this study was to identify most significant factors for melanoma prediction in our population and to create prognostic models for identification and differentiation of individuals at risk. Methods. This case-control study included 697 participants (341 patients and 356 controls) that underwent extensive interview and skin examination in order to check risk factors for melanoma. Pairwise univariate statistical comparison was used for the coarse selection of the most significant risk factors. These factors were fed into logistic regression (LR) and alternating decision trees (ADT) prognostic models that were assessed for their usefulness in identification of patients at risk to develop melanoma. Validation of the LR model was done by Hosmer and Lemeshow test, whereas the ADT was validated by 10-fold cross-validation. The achieved sensitivity, specificity, accuracy and AUG for both models were calculated. The melanoma risk score (MRS) based on the outcome of the LR model was presented. Results. The LR model showed that the following risk factors were associated with melanoma: sunbeds (OR = 4.018; 95% CI 1.724-9.366 for those that sometimes used sunbeds), solar damage of the skin (OR = 8.274; 95% CI 2.661-25.730 for those with severe solar damage), hair color (OR = 3.222; 95% CI 1.984-5.231 for light brown/blond hair), the number of common naevi (over 100 naevi had OR = 3.57; 95% CI 1.427-8.931), the number of dysplastic naevi (from 1 to 10 dysplastic naevi OR was 2.672; 95% CI 1.572-4.540; for more than 10 naevi OR was 6.487; 95%; CI 1.993-21.119), Fitzpatricks phototype and the presence of congenital naevi. Red hair, phototype I and large congenital naevi were only present in melanoma patients and thus were strongly associated with melanoma. The percentage of correctly classified subjects in the LR model was 74.9%, sensitivity 71%, specificity 78.7% and AUG 0.805. For the ADT percentage of correctly classified instances was 71.9%, sensitivity 71.9%, specificity 79.4% and AUG 0.808. Conclusion. Application of different models for risk assessment and prediction of melanoma should provide efficient and standardized tool in the hands of clinicians. The presented models offer effective discrimination of individuals at high risk, transparent decision making and real-time implementation suitable for clinical practice. A continuous melanoma database growth would provide for further adjustments and enhancements in model accuracy as well as offering a possibility for successful application of more advanced data mining algorithms. AU - Nikolic, Jelena AU - Loncar-Turukalo, Tatjana AU - Sladojevic, Srdan AU - Marinkovic, Marija AU - Janjic, Zlata DA - 2014/08// DO - 10.2298/VSP130722045N IS - 8 PY - 2014 SN - 0042-8450 SP - 757-766 ST - Melanoma risk prediction models T2 - Vojnosanitetski Pregled TI - Melanoma risk prediction models VL - 71 ID - 2216 ER - TY - CONF AB - The paper is focused on automated knowledge discovery in musical pieces, based on transformations of digital musical notation. Usually a single musical piece is analyzed, to discover the structure as well as traits of separate voices. Melody and rhythm is processed with the use of three proposed operators, that serve as meta-data. In this work we focus on melody, so the processed data is labeled using fuzzy labels, created for detecting various voice characteristics. A comparative analysis of two musical pieces may be performed as well, that compares them in terms of various rhythmic or melodic traits (as a whole or with voice separation). AU - Rybnik, M. AU - Jastrzebska, A. C3 - International Conference of Numerical Analysis and Applied Mathematics 2015 (ICNAAM 2015), 22-28 Sept. 2015 DA - 2016/06/08/ DO - 10.1063/1.4951953 KW - data mining fuzzy set theory meta data music PB - AIP - American Institute of Physics PY - 2016 SN - 0094-243X SP - 180006-(4 pp.) ST - Melody-based knowledge discovery in musical pieces T2 - AIP Conference Proceedings T3 - AIP Conf. Proc. (USA) TI - Melody-based knowledge discovery in musical pieces UR - http://dx.doi.org/10.1063/1.4951953 VL - 1738 ID - 1418 ER - TY - JOUR AB - Background: Mercury (Hg) exposure from artisanal gold mining has adverse effects on the neuromotor function in adults. However, few studies have examined this relationship in children. O Objectives: To investigate the impact of Hg exposure on children's neuromotor function. Methods: Cross-sectional data on Hg risk factors and demographics were collected from n = 288 children (response = 68.9%). Based on complete cases (CCs) (n = 130) and multiple imputations (n = 288), associations between fingernail Hg and four different neuromotor function components were calculated using multiple logistic regression adjusted for confounders. Results: Of the children, 11.1, 14.9, 63.9, and 10.4% had pathologic pure motor skills, adaptive fine motor skills, adaptive gross motor skills, and static balance, respectively. No significant association between fingernail Hg and any neuromotor component was found. However, Hg burning in the household was significantly associated with children's pathologic pure motor skills (OR 3.07 95% CI 1.03-9.18). Conclusion: Elemental Hg exposure in the household might have adverse long-term effects on children's pure motor skills. AU - Ohlander, Johan AU - Huber, Stella Maria AU - Schomaker, Michael AU - Heumann, Christian AU - Schierl, Rudolf AU - Michalke, Bernhard AU - Jenni, Oskar G. AU - Caflisch, Jon AU - Moraga Munoz, Daniel AU - von Ehrenstein, Ondine S. AU - Radon, Katja DA - 2016 DO - 10.1080/10773525.2015.1125585 IS - 1 PY - 2016 SN - 1077-3525 SP - 27-35 ST - Mercury and neuromotor function among children in a rural town in Chile T2 - International Journal of Occupational and Environmental Health TI - Mercury and neuromotor function among children in a rural town in Chile VL - 22 ID - 2194 ER - TY - JOUR AB - The environment of Guizhou province of SW China is in part significantly impacted by mercury (Hg) mining activities. The exploitation and processing of Hg-bearing ore in the past have led to multiple sources of Hg contamination, including unprocessed ores and Hg waste calcines and liquid elemental Hg, making source control strategies difficult and expensive to implement. In this study, initially extended X-ray absorption fine structure (EXAFS) spectroscopy was used to determine the Hg species and to estimate the relative proportions of these species present in Hg-bearing wastes from the Wanshan Hg mine (WSMM) of the eastern Guizhou province. The results showed that cinnabar is the dominant Hg species in the unroasted ore samples, while the most prevalent Hg compounds in mine waste calcine is in the following order: meta-cinnabar, cinnabar and mercuric chloride. Our study demonstrated that mass dependent fractionation of Hg isotopes may occur during transformation of cinnabar to by-products (such as meta-cinnabar and mercuric chloride) by the roasting process. Hg stable isotope analysis of unroasted Hg ores and Hg waste calcines showed that Hg waste calcines (0.080.20%, 2o, n=11) were enriched by ~0.80% in 202Hg values compared to the unroasted Hg ores (-0.740.11%, 2o, n=14). Finally, using a combined triple mixing model, the source attribution of the downstream sediment in WSMM was estimated. Our study suggested that the Hg isotope could be a useful tool to trace and quantify the source of Hg in the environment. 2012 Elsevier B.V. AU - Yin, Runsheng AU - Feng, Xinbin AU - Wang, Jianxu AU - Li, Ping AU - Liu, Jinling AU - Zhang, Ying AU - Chen, Jiubin AU - Zheng, Lirong AU - Hu, Tiandou DA - 2013 DO - 10.1016/j.chemgeo.2012.04.030 J2 - Chemical Geology KW - Calcination Chlorine compounds Extended X ray absorption fine structure spectroscopy Isotopes Mercury compounds Mercury (metal) Ores Sedimentology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 00092541 SP - 72-79 ST - Mercury speciation and mercury isotope fractionation during ore roasting process and their implication to source identification of downstream sediment in the Wanshan mercury mining area, SW China T2 - Chemical Geology TI - Mercury speciation and mercury isotope fractionation during ore roasting process and their implication to source identification of downstream sediment in the Wanshan mercury mining area, SW China UR - http://dx.doi.org/10.1016/j.chemgeo.2012.04.030 VL - 336 ID - 1139 ER - TY - JOUR AB - Using microarrays, researchers are able to obtain a genome wide snapshot of a biological system under a given experimental context. Fortunately, a significant amount of gene regulation data is publicly available through various databases. We present a system that uses extra knowledge in published gene regulation relationships to examine findings in a microarray experiment and to aid biologists in generating hypotheses. Two algorithms are developed to highlight consistencies as well as inconsistencies between the data. We demonstrate that consistent as well as inconsistent subnetworks found in this manner are important in the discovery of active pathways and novel findings. AU - Kazmi, S. A. AU - Yoo-Ah, Kim AU - Dong-Guk, Shin DA - 2010 DO - 10.1504/IJDMB.2010.035896 IS - 5 J2 - International Journal of Data Mining and Bioinformatics KW - biology computing PY - 2010 SN - 1748-5673 SP - 487-504 ST - Meta analysis algorithms for microarray gene expression data using gene regulatory networks T2 - International Journal of Data Mining and Bioinformatics TI - Meta analysis algorithms for microarray gene expression data using gene regulatory networks UR - http://dx.doi.org/10.1504/IJDMB.2010.035896 VL - 4 ID - 1809 ER - TY - JOUR AB - Various classification algorithms became available due to a surge of interdisciplinary research interests in the areas of data mining and knowledge discovery. We develop a statistical meta-model which compares the classification performances of several algorithms in terms of data characteristics. This empirical model is expected to aid decision making processes of finding the best classification tool in the sense of providing the minimum classification error among alternatives. AU - Sohn, So Young DA - 1999 DO - 10.1109/34.809107 IS - 11 J2 - IEEE Transactions on Pattern Analysis and Machine Intelligence KW - Algorithms data mining Decision theory Image analysis Knowledge acquisition Mathematical models Pattern recognition Statistical methods N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 1999 SN - 01628828 SP - 1137-1144 ST - Meta analysis of classification algorithms for pattern recognition T2 - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - Meta analysis of classification algorithms for pattern recognition UR - http://dx.doi.org/10.1109/34.809107 VL - 21 ID - 1796 ER - TY - JOUR AB - Since the second half of the 1990s, a large number of genome-wide analyses have been described that study gene expression at the transcript level. To this end, two major strategies have been adopted, a first one relying on hybridization techniques such as microarrays, and a second one based on sequencing techniques such as serial analysis of gene expression (SAGE), cDNA-AFLP, and analysis based on expressed sequence tags (ESTs). Despite both types of profiling experiments becoming routine techniques in many research groups, their application remains costly and laborious. As a result, the number of conditions profiled in individual studies is still relatively small and usually varies from only two to few hundreds of samples for the largest experiments. More and more, scientific journals require the deposit of these high throughput experiments in public databases upon publication. Mining the information present in these databases offers molecular biologists the possibility to view their own small-scale analysis in the light of what is already available. However, so far, the richness of the public information remains largely unexploited. Several obstacles such as the correct association between ESTs and microarray probes with the corresponding gene transcript, the incompleteness and inconsistency in the annotation of experimental conditions, and the lack of standardized experimental protocols to generate gene expression data, all impede the successful mining of these data. Here, we review the potential and difficulties of combining publicly available expression data from respectively EST analyses and microarray experiments. With examples from literature, we show how meta-analysis of expression profiling experiments can be used to study expression behavior in a single organism or between organisms, across a wide range of experimental conditions. We also provide an overview of the methods and tools that can aid molecular biologists in exploiting these public data. AU - Fierro, Ana C. AU - Vandenbussche, Filip AU - Engelen, Kristof AU - Van de Peer, Yves AU - Marchal, Kathleen DA - 2008/12//undefined DO - 10.2174/138920208786847935 IS - 8 J2 - Curr Genomics L1 - internal-pdf://3126071313/Fierro-2008-Meta Analysis of Gene Expression D.pdf LA - eng PY - 2008 SN - 1389-2029 1389-2029 SP - 525-534 ST - Meta Analysis of Gene Expression Data within and Across Species T2 - Current genomics TI - Meta Analysis of Gene Expression Data within and Across Species UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694560/pdf/CG-9-525.pdf VL - 9 ID - 219 ER - TY - CONF AB - Increasing amounts of large data and information sets require new analysis techniques. The domain of data mining investigates new paradigms and methods adapted for scalability, flexibility and problem abstraction for large data sets. In particular the field of visual data mining offers valuable methods for analyzing large amounts of data intuitively. Visual data mining combines several visual and nonvisual methods to reveal patterns, coherences and other features of data sets. The application of meta data can support the selection of suitable mining methods as well as of appropriate parameter values to control these methods. The paper defines a variety of meta data for visual data mining purposes, for instance by specifying ranges of values, cluster structures and regions of interest. These meta data can be applied for a more efficient visualization of the data set. We introduce a framework for effective extraction of these meta data. AU - Nocke, T. AU - Schumann, H. C3 - CGIM 2002: 5th IASTED International Conference on Computer Graphics and Imaging, 12-14 Aug. 2002 DA - 2002 KW - data mining data visualisation meta data very large databases PB - Acta Press PY - 2002 SP - 206-13 ST - Meta data for visual data mining T3 - Proceedings of the Fifth IASTED International Conference Computer Graphics and Imaging TI - Meta data for visual data mining ID - 1818 ER - TY - CONF AB - We present a meta-Analysis of Big Data research activity since 2009. Our purpose here is to present 'tech mining' (bibliometric and text analyses of research publication abstract record sets) to provide a research landscape of who is doing what, where, and when. Our larger purpose is to help Forecast Innovation Pathways for big data amp; analytics over the coming decade. We download 7006 research publication abstracts from Web of Science resulting from a search algorithm devised to recall a high percentage of core Big Data research and a moderate percentage of peripherally related research (fair recall). We find interesting engagement of different disciplines in Big Data over time. On a national level, the USA and China dominate these fundamental research publications to a striking degree. Mapping topics presents interesting evidence on what topics are emerging in this dynamic field. 2015 IEEE. AU - Porter, Alan L. AU - Huang, Ying AU - Schuehle, Jannik AU - Youtie, Jan C3 - 4th IEEE International Congress on Big Data, BigData Congress 2015, June 27, 2015 - July 2, 2015 DA - 2015 DO - 10.1109/BigDataCongress.2015.44 KW - Abstracting Big data data mining World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 262-267 ST - Meta Data: Big Data Research Evolving across Disciplines, Players, and Topics T3 - Proceedings - 2015 IEEE International Congress on Big Data, BigData Congress 2015 TI - Meta Data: Big Data Research Evolving across Disciplines, Players, and Topics UR - http://dx.doi.org/10.1109/BigDataCongress.2015.44 ID - 1833 ER - TY - CONF AB - In this paper we present the Pikater multi-agent system designed for solving complex data mining tasks. We emphasize the unique intelligent features of the system - its ability to search the parameter space of the data mining methods to find the optimal configuration, and meta learning - finding the best possible method for the given data based on the ontological compatibility of datasets. 2011 IEEE. AU - Kazik, Ondrej AU - Pekova, Klara AU - Pilat, Martin AU - Neruda, Roman C3 - 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011, August 22, 2011 - August 27, 2011 DA - 2011 DO - 10.1109/WI-IAT.2011.233 KW - data mining Intelligent agents Multi agent systems ontology Search Engines Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 SP - 433-434 ST - Meta learning in multi-agent systems for data mining T3 - Proceedings - 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011 TI - Meta learning in multi-agent systems for data mining UR - http://dx.doi.org/10.1109/WI-IAT.2011.233 VL - 2 ID - 1828 ER - TY - CONF AB - The Business Process Model and Notation (BPMN) is the prevalent conceptual modeling language for business process modeling and process analysis. BPMN benefits from its expressiveness and the well-defined meta model, which is defined by the Meta Object Facility (MOF). The emergence of BPMN entails an increasing demand for language extensions in order to both benefit from the dissemination and apposite concepts. Although BPMN is one of very few languages that explicitly provides capabilities for its extension, the proposed mechanism reveals some shortcomings and inaccuracies concerning model abstractions, specificity and semantical clarity. A list of improvable aspects is hence provided based on an in-depth analysis of the extension mechanism. The analysis has a special focus on the abstract syntax (BPMN meta model). Several techniques for enhanced BPMN extension design are proclaimed by adapting alternative mechanisms for language extensibility: Profiling, under specification (hooking) and annotation (plugins and add-ons). The stated mechanisms are partly adapted from other modeling languages (profiling) or the field of Software Engineering (hooking, plug-ins, add-ons). Each approach is described by its core concepts, its application and by some examples. The approaches are finally compared regarding several criteria. Springer International Publishing Switzerland 2015. AU - Braun, Richard C3 - 3rd International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2015, February 9, 2015 - February 11, 2015 DA - 2015 DO - 10.1007/978-3-319-27869-8_13 KW - Computational linguistics data mining Java programming language Modeling languages Process engineering Software Design software engineering Systems engineering visual languages N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 18650929 SP - 230-247 ST - Meta model extensibility of BPMN: Current limitations and proposed improvements T3 - Communications in Computer and Information Science TI - Meta model extensibility of BPMN: Current limitations and proposed improvements UR - http://dx.doi.org/10.1007/978-3-319-27869-8_13 VL - 580 ID - 1529 ER - TY - CONF AB - Modern process-aware information systems store detailed information about processes as they are being executed. This kind of information can be used for very different purposes. The term process mining refers to the techniques and tools to extract knowledge (e.g., in the form of models) from this. Several key players in this area have developed sophisticated process mining tools, such as Aris PPM and the HP Business Cockpit, that are capable of using the information available to generate meaningful insights. What most of these commercial process mining tools have in common is that installation and maintenance of the systems requires enormous effort, and deep knowledge of the underlying information system. Moreover, information systems log events in different ways. Therefore, the interface between process-aware information systems and process mining tools is far from trivial. It is vital to correctly map and interpret event logs recorded by the underlying information systems. Therefore, we propose a meta model for event logs. We give the requirements for the data that should be available, both informally and formally. Furthermore, we back our meta model up with an XML format called MXML and a tooling framework that is capable of reading MXML files. Although, the approach presented in this paper is very pragmatic, it can be seen as a first step towards and ontological analysis of process mining data. AU - Van Dongen, B. F. AU - Van Der Aalst, W. M. P. C3 - 2nd Open Interop Workshop on Enterprise Modeling and Ontologies for Interoperability, EMOI - INTEROP 2005 - Co-located with the 17th Conference on Advanced Information Systems Engineering, CAiSE 2005, June 13, 2005 - June 14, 2005 DA - 2005 KW - data mining Enterprise resource planning Information systems Interoperability N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Sun SITE Central Europe CEUR-WS PY - 2005 SN - 16130073 ST - A meta model for process mining data T3 - CEUR Workshop Proceedings TI - A meta model for process mining data VL - 160 ID - 1876 ER - TY - CONF AB - High level synthesis (HLS) refers to an automated process that creates a digital hardware from an algorithmic description of some computation. From the perspective of Smalltalk, this process consists of converting code from the oriented object level to the register transfer level (RTL), that supports direct compilation to the hardware level. In this paper, we present first steps to achieve this process. We introduce a Smalltalk-based meta-model that allows expressing descriptions (i.e. models) of digital circuits. These descriptions can be materialized as Smalltalk code. A such circuit description can be run on top of the Smalltalk VM, simulating the parallelism intrinsic of hardware. Alternatively, it can be compiled into a binary representation directly transferable to FPGA chips, which can run and exchange data with Smalltalk objects. Copyright 2015 ACM. AU - Sang, L. E. Xuan AU - Lagadec, Loic AU - Fabresse, Luc AU - Laval, Jannik AU - Bouraqadi, Noury C3 - 10th International Workshop on Smalltalk Technologies, IWST 2015, July 15, 2015 - July 16, 2015 DA - 2015 DO - 10.1145/2811237.2811296 KW - automation Computer hardware description languages Dynamics Field programmable gate arrays (FPGA) Hardware High level synthesis Reconfigurable hardware N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2015 SP - ACM-Special Interest Group on Programming Languages; ESUG ST - A meta model supporting both hardware and smalltalk-based execution of FPGA circuits T3 - IWST 2015 - Proceedings of the 10th International Workshop on Smalltalk Technologies, in conjunction with the 23rd International Smalltalk Joint Conference TI - A meta model supporting both hardware and smalltalk-based execution of FPGA circuits UR - http://dx.doi.org/10.1145/2811237.2811296 ID - 1457 ER - TY - CONF AB - Systematic software reuse is emerging as a promising route to improved software development productivity and quality. While many benefits of patterns reuse have been identified, there is a need to develop a mechanism for automating the identification of relevant analysis patterns for conceptual modeling. To enable effective reuse of analysis patterns, a judgment needs to be made about instantiating and combining the analysis patterns correctly. We describe a "top-down" approach to explicitly express the semantics of analysis patterns and propose Meta Ontology for Describing Analysis Patterns (MODAP). We show how MODAP can help identify appropriate instances of analysis patterns including the discovery of valid combinations with other patterns in the same patterns base. AU - Hvalshagen, Merete AU - Khatri, Vijay AU - Lee, Changheon C3 - 15th Workshop on Information Technology and Systems, WITS 2005, December 10, 2005 - December 11, 2005 DA - 2005 KW - data mining Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - University of Arizona PY - 2005 SP - 111-116 ST - Meta ontology for describing analysis patterns in conceptual modeling T3 - 15th Workshop on Information Technology and Systems, WITS 2005 TI - Meta ontology for describing analysis patterns in conceptual modeling ID - 1774 ER - TY - JOUR AB - Data mining is defined as analyzing data from a large database .The task performed by data mining is clustering, which are used for grouping the data objects to form a new class .The two algorithms of clustering is MH-means (modified harmonic means ) and GSA(gravitational search algorithm).MH-means is the algorithm with some random based centroid for desired clusters. In this algorithm every data object are assigned to the closest centroid. It is used to calculate the mean value of data objects within the clusters , so that they reach an optimal solution. MH-meansis an iterative process. GSA is based on interaction of masses in universe through Newtonian Gravity law. The role of GSA is to identify the problem in space. By combining the MH-means and GSA algorithms the performance is increased. Along with this combination a new method Standard Dataset is also used. The standard dataset are used for increasing the convergence speed of the proposed methods. AU - Prasad, K. M. AU - Sabitha, R. DA - 2015/06/10/ IS - 1 J2 - Journal of Theoretical and Applied Information Technology KW - data mining Iterative methods pattern clustering random processes search problems PY - 2015 SN - 1992-8645 SP - 82-7 ST - Meta physical algorithmic representation for flawless clustering T2 - Journal of Theoretical and Applied Information Technology TI - Meta physical algorithmic representation for flawless clustering VL - 76 ID - 1733 ER - TY - CONF AB - A Meta study of four empirical studies of simulator training was performed. The empirical studies were performed at a battle tank simulator, a combat vehicle simulator, an active sonar anti-submarine warfare simulator, and at a simulated command and control staff exercise of an international naval mine counter-measures mission. The combined number of participants in the Meta study made use of inferential and causal statistics possible. The results showed higher ratings of motivation/fun and effect on reality than fidelity. This suggests that a simulator can provide both motivating and valuable training even if it does not have very high fidelity. The casual analysis with LISREL provided a model showing that the feeling of involvement in the simulation influences the training irr the simulator, which in turn has a positive influence on the transfer of training to real world performance. Since the analysis is based on amalgamated data from different studies with partly different conditions, site specific models may be different. Copyright 2010 by Human Factors and Ergonomics Society, Inc. All rights reserved. AU - Oskarsson, Per-Anders AU - Nahlinder, Staffan AU - Svensson, Erland C3 - 54th Human Factors and Ergonomics Society Annual Meeting 2010, HFES 2010, September 27, 2010 - October 1, 2010 DA - 2010 DO - 10.1518/107118110X12829370499600 KW - Automobile simulators Ergonomics Human computer interaction Military vehicles Naval warfare Simulators Sonar Space shuttles Underwater acoustics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Human Factors an Ergonomics Society Inc. PY - 2010 SN - 10711813 SP - 2422-2426 ST - A meta study of transfer of training T3 - Proceedings of the Human Factors and Ergonomics Society TI - A meta study of transfer of training UR - http://dx.doi.org/10.1518/107118110X12829370499600 VL - 3 ID - 1389 ER - TY - CONF AB - Meta synthesis system approach is a system approach for solving the open giant complex system problems proposed by Qian et al. During implementing a major program related to studying this approach supported by NSF of China a new flowchart for realizing this approach had suggested: "Meeting I Analysis Meeting II". In this flowchart we emphasized on the expert's opinion, knowledge, experience and wisdom. In recent years authors practiced this approach and flowchart in dealing with economic, social and human body systems and put the expert mining furthermore. Expert mining is different with the data mining based on the massive amount of data. The main characteristics of expert mining are subjective ideas existed in the brain of experts, number of samples not too large, In this paper we will introduce some basics, methods and tools in expert mining. 2008 IEEE. AU - Jifa, Gu AU - Wuqi, Song AU - Zhengxiang, Zhu C3 - 2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008, October 12, 2008 - October 15, 2008 DA - 2008 DO - 10.1109/ICSMC.2008.4811320 KW - Control theory Cybernetics data mining Flowcharting mining N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2008 SN - 1062922X SP - 467-471 ST - Meta synthesis and expert mining T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics TI - Meta synthesis and expert mining UR - http://dx.doi.org/10.1109/ICSMC.2008.4811320 ID - 1780 ER - TY - JOUR AB - A meta-analysis was undertaken, including 21 studies, to determine the impact of parental involvement on the academic achievement of minority children, Statistical analyses were undertaken to deter-mine the overall effects of parental involvement obtained for each study as well as specific components of parental involvement. Four different measures of academic achievement were used. The possible differing effects of parental involvement by gender and socioeconomic status were also considered. The results indicate that the impact of parental involvement overall is significant for all the minority groups under Study. For all groups, parental involvement, as a whole, affected all the academic variables under study by at least two tenths of a standard deviation unit. However, among some of the races, certain aspect, of parental involvement had a greater impact than did others. The significance of these results is discussed. AU - Jeynes, W. H. DA - 2003/02// DO - 10.1177/0013124502239392 IS - 2 L1 - internal-pdf://2740446580/Jeynes-2003-A meta-analysis - The effects of p.pdf PY - 2003 SN - 0013-1245 SP - 202-218 ST - A meta-analysis - The effects of parental involvement on minority children's academic achievement T2 - Education and Urban Society TI - A meta-analysis - The effects of parental involvement on minority children's academic achievement UR - http://eus.sagepub.com.ezproxy.lib.vt.edu/content/35/2/202.full.pdf VL - 35 ID - 1923 ER - TY - JOUR AB - Plants with tolerance to low-phosphorus (P) can grow better under low-P conditions, and understanding of genetic mechanisms of low-P tolerance can not only facilitate identifying relevant genes but also help to develop low-P tolerant cultivars. QTL meta-analysis was conducted after a comprehensive review of the reports on QTL mapping for low-P tolerance-related traits in maize. Meta-analysis produced 23 consensus QTL (cQTL), 17 of which located in similar chromosome regions to those previously reported to influence root traits. Meanwhile, candidate gene mining yielded 215 genes, 22 of which located in the cQTL regions. These 22 genes are homologous to 14 functionally characterized genes that were found to participate in plant low-P tolerance, including genes encoding miR399s, Pi transporters and purple acid phosphatases. Four cQTL loci (cQTL2-1, cQTL5-3, cQTL6-2, and cQTL10-2) may play important roles for low-P tolerance because each contains more original QTL and has better consistency across previous reports. AU - Zhang, Hongwei AU - Uddin, Mohammed Shalim AU - Zou, Cheng AU - Xie, Chuanxiao AU - Xu, Yunbi AU - Li, Wen-Xue DA - 2014/03//undefined DO - 10.1111/jipb.12168 IS - 3 J2 - J Integr Plant Biol KW - *Genes, Plant *Genetic Association Studies Adaptation, Physiological/drug effects/*genetics Candidate gene consensus QTL low-phosphorus tolerance maize Meta-analysis Phosphorus/*pharmacology Quantitative Trait Loci/genetics Zea mays/drug effects/*genetics/*physiology LA - eng PY - 2014 SN - 1744-7909 1672-9072 SP - 262-270 ST - Meta-analysis and candidate gene mining of low-phosphorus tolerance in maize T2 - Journal of integrative plant biology TI - Meta-analysis and candidate gene mining of low-phosphorus tolerance in maize VL - 56 ID - 47 ER - TY - CONF AB - In the social sciences, meta-analysis has been used on a limited scale only, mainly because there still remains a gap between the knowledge available and itsapplication in policymaking. The experimental results suggested that, compared to the automatic modeling process as typically applied in current decision tree modeling tools, interactive visual decision tree (IVDT) process can improve the effectiveness of modeling in terms of producing trees with relatively high classification accuracies and small sizes, enhance users' understanding of the algorithm, and give them greater satisfaction with the task. (2014) Trans Tech Publications, Switzerland. AU - Chen, Zu Yi AU - Zhao, Tai Xiang C3 - 4th International Conference on Materials Science and Information Technology, MSIT 2014, June 14, 2014 - June 15, 2014 DA - 2014 DO - 10.4028/www.scientific.net/AMR.989-994.1692 KW - Classification (of information) data mining decision trees Trees (mathematics) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Trans Tech Publications Ltd PY - 2014 SN - 10226680 SP - 1692-1694 ST - Meta-analysis and evaluation of visualization support to decision trees classification T3 - Advanced Materials Research TI - Meta-analysis and evaluation of visualization support to decision trees classification UR - http://dx.doi.org/10.4028/www.scientific.net/AMR.989-994.1692 http://www.scientific.net/AMR.989-994.1692 VL - 989-994 ID - 1798 ER - TY - JOUR AB - Recent advances in systems biology, omics, and computational studies allow us to carry out data mining for improving biofuel production bioprocesses. Of particular interest are bioprocesses that center on microbial capabilities to biotransform both the hexose and pentose fractions present in crop residues. This called for a systematic exploration of the components of the media to obtain higher-density cultures and more-productive fermentation operations than are currently found. By using a meta-analysis approach of the transcriptional responses to butanol stress, we identified the nutritional requirements of solvent-tolerant strain Clostridium beijerinckii SA-1 (ATCC 35702). The nutritional requirements identified were later validated using the chemostat pulse-and-shift technique. C. beijerinckii SA-1 was cultivated in a two-stage single-feed-stream continuous production system to test the proposed validated medium formulation, and the coutilization of D-glucose and D-xylose was evaluated by taking advantage of the well-known ability of solventogenic clostridia to utilize a large variety of carbon sources such as mono-, oligo-, and polysaccharides containing pentose and hexose sugars. Our results indicated that C. beijerinckii SA-1 was able to coferment hexose/pentose sugar mixtures in the absence of a glucose repression effect. In addition, our analysis suggests that the solvent and acid resistance mechanisms found in this strain are differentially regulated compared to strain NRRL B-527 and are outlined as the basis of the analysis toward optimizing butanol production. 2011, American Society for Microbiology. AU - Heluane, Humberto AU - Dagher, Matthew R. Evans AU - Bruno-Barcena, Jose M. DA - 2011 DO - 10.1128/AEM.00116-11 IS - 13 J2 - Applied and Environmental Microbiology KW - Acid resistance Agricultural wastes Alcohols Cultivation Glucose Nutrition Xylose L1 - internal-pdf://0730832933/Heluane-2011-Meta-analysis and functional vali.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 00992240 SP - 4473-4485 ST - Meta-analysis and functional validation of nutritional requirements of solventogenic clostridia growing under butanol stress conditions and coutilization of D-glucose and D-xylose T2 - Applied and Environmental Microbiology TI - Meta-analysis and functional validation of nutritional requirements of solventogenic clostridia growing under butanol stress conditions and coutilization of D-glucose and D-xylose UR - http://dx.doi.org/10.1128/AEM.00116-11 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3127714/pdf/zam4473.pdf VL - 77 ID - 1806 ER - TY - JOUR AB - The term data deluge is used widely to describe the rapidly accelerating growth of information in the technical literature, in scientific databases, and in informal sources such as the Internet and social media. The massive volume and increased complexity of information challenge traditional methods of data analysis but at the same time provide unprecedented opportunities to test hypotheses or uncover new relationships via mining of existing databases and literature. In this review, we discuss analytical approaches that are beginning to be applied to help synthesize the vast amount of information generated by the data deluge and thus accelerate the pace of discovery in plant pathology. We begin with a review of meta-analysis as an established approach for summarizing standardized (structured) data across the literature. We then turn to examples of synthesizing more complex, unstructured data sets through a range of data-mining approaches, including the incorporation of 'omics data in epidemiological analyses. We conclude with a discussion of methodologies for leveraging information contained in novel, open-source data sets through web crawling, text mining, and social media analytics, primarily in the context of digital disease surveillance. Rapidly evolving computational resources provide platforms for integrating large and complex data sets, motivating research that will draw on new types and scales of information to address big questions. AU - Scherm, H. AU - Thomas, C. S. AU - Garrett, K. A. AU - Olsen, J. M. DA - 2014 DO - 10.1146/annurev-phyto-102313-050214 J2 - Annu Rev Phytopathol KW - *Plant Pathology Big data Biomarkers data mining digital epidemiology digital surveillance Information storage and retrieval Internet Meta-analysis research synthesis text mining Transcriptome unstructured data LA - eng PY - 2014 SN - 0066-4286 0066-4286 SP - 453-476 ST - Meta-analysis and other approaches for synthesizing structured and unstructured data in plant pathology T2 - Annual review of phytopathology TI - Meta-analysis and other approaches for synthesizing structured and unstructured data in plant pathology VL - 52 ID - 48 ER - TY - JOUR AB - The k-Nearest Neighbors (k-NN) technique is a popular method for producing spatially contiguous predictions of forest attributes by combining field and remotely sensed data. In the framework of Working Group 2 of COST Action FP1001, we reviewed the scientific literature for forestry applications of k-NN. Information available in scientific publications on this topic was used to populate a database that was then used as the basis for a meta-analysis. We extracted qualitative and quantitative information from 260 experimental tests described in 148 scientific papers. The papers represented a geographic range of 26 countries and a temporal range from 1981 to 2013. Firstly, we describe the literature search and the information extracted and analyzed. Secondly, we report the results of the meta-analysis, especially with respect to estimation accuracies reported for k-NN applications for different configurations, different forest environments, and different input information. We also provide a summary of results that may reasonably be expected for those planning a k-NN application using remotely sensed data from different sensors and for different forest attributes. Finally, we identify some methodological publications that have advanced the state of the science with respect to k-NN. [All rights reserved Elsevier]. AU - Chirici, G. AU - Mura, M. AU - McInerney, D. AU - Py, N. AU - Tomppo, E. O. AU - Waser, L. T. AU - Travaglini, D. AU - McRoberts, R. E. DA - 2016/04// DO - 10.1016/j.rse.2016.02.001 J2 - Remote Sensing of Environment KW - Forestry REMOTE SENSING L1 - internal-pdf://3535875169/Chirici-2016-A meta-analysis and review of the.pdf PY - 2016 SN - 0034-4257 SP - 282-94 ST - A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data T2 - Remote Sensing of Environment TI - A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data UR - http://dx.doi.org/10.1016/j.rse.2016.02.001 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0034425716300293/1-s2.0-S0034425716300293-main.pdf?_tid=c75d88d4-8330-11e6-b69c-00000aab0f26&acdnat=1474815801_aa0b3338ee894fccfb706aa107fd4eec VL - 176 ID - 1810 ER - TY - JOUR AB - Yield potential and stability improvement with the goal of ensuring global food security is an important priority. Yield has a quantitative nature and is controlled by quantitative trait loci (QTL) and environmental factors. An increasingly large number of maize yield QTL have been identified, and how to integrate and re-analyze them is challenging. To this end, we tried to combine QTL meta-analysis with homology-based cloning techniques to dissect candidate loci/genes for maize yield. We first collected maize yield-related QTL from public resources. Then, 351 collected QTL were iteratively projected and meta-analyzed to obtain metaQTL (MQTL). A total of 54 MQTL were identified and tended to cluster in the maize genome. Seven MQTL containing ten maize orthologs of rice yield genes were dissected and temporarily termed syntenic MQTL. Maize orthologs of three functionally-characterized rice yield genes, GIF1, WFP/IPA1, and DEP1, were specially selected to undergo phylogenetic, proliferation, and selective pattern analysis. The results showed that maize orthologs were closely related to rice yield genes and subjected to mixed selective pressures, including positive selection during selective sweeps. The power of the combined techniques reported here was primarily validated not only by the congruency of MQTL and recently reported maize yield QTL but also by mined syntenic MQTL containing the well-characterized Miniature1 (Mn1) gene for maize kernel size and weight determination. Maize MQTL, especially syntenic MQTL regions, could serve not only for QTL fine-mapping and cloning but also for the marker-assisted selection breeding program. The maize yield candidate loci/genes presented here also deserve further investigation and will provide clues to the molecular bases of grain yield. Additionally, the combined technique described here will find its way into further quantitative trait research. AU - Wang, Yijun AU - Huang, Zhengjin AU - Deng, Dexiang AU - Ding, Haidong AU - Zhang, Rong AU - Wang, Suxin AU - Bian, Yunlong AU - Yin, Zhitong AU - Xu, Xiangming DA - 2013/03// DO - 10.1007/s11032-012-9818-4 IS - 3 PY - 2013 SN - 1380-3743 SP - 601-614 ST - Meta-analysis combined with syntenic metaQTL mining dissects candidate loci for maize yield T2 - Molecular Breeding TI - Meta-analysis combined with syntenic metaQTL mining dissects candidate loci for maize yield VL - 31 ID - 1901 ER - TY - JOUR AB - Biomarkers that are identified from a single study often appear to be biologically irrelevant or false positives. Meta-analysis techniques allow integrating data from multiple studies that are related but independent in order to identify biomarkers across multiple conditions. However, existing biomarker meta-analysis methods tend to be sensitive to the dataset being analyzed. Here, we propose a meta-analysis method, iMeta, which integrates t-statistic and fold change ratio for improved robustness. For evaluation of predictive performance of the biomarkers identified by iMeta, we compare our method with other meta-analysis methods. As a result, iMeta outperforms the other methods in terms of sensitivity and specificity, and especially shows robustness to study variance increase; it consistently shows higher classification accuracy on diverse datasets, while the performance of the others is highly affected by the dataset being analyzed. Application of iMeta to 59 drug-induced liver injury studies identified three key biomarker genes: Zwint, Abcc3, and Ppp1r3b. Experimental evaluation using RT-PCR and qRT-PCR shows that their expressional changes in response to drug toxicity are concordant with the result of our method. iMeta is available at http://imeta.kaist.ac.kr/index.html. AU - Cho, Hyeyoung AU - Kim, Hyosil AU - Na, Dokyun AU - Kim, So Youn AU - Jo, Deokyeon AU - Lee, Doheon DA - 2016/03/04/ DO - 10.1016/j.bbrc.2016.01.082 IS - 2 J2 - Biochem Biophys Res Commun KW - *Meta-Analysis as Topic *Software Biomarker discovery Biomarkers/*metabolism Computer Simulation Data Interpretation, Statistical Data Mining/methods Drug-Induced Liver Injury/*diagnosis/*metabolism Drug liver toxicity Effect size Gene Expression Profiling/*methods Humans Intracellular Signaling Peptides and Proteins/metabolism Meta-analysis Models, Statistical Multidrug Resistance-Associated Proteins/metabolism Nuclear Proteins/metabolism Protein Phosphatase 1/metabolism Reproducibility of results Sensitivity and specificity Systems Integration L1 - internal-pdf://0040610537/Cho-2016-Meta-analysis method for discovering.pdf LA - eng PY - 2016 SN - 1090-2104 0006-291X SP - 274-281 ST - Meta-analysis method for discovering reliable biomarkers by integrating statistical and biological approaches: An application to liver toxicity T2 - Biochemical and biophysical research communications TI - Meta-analysis method for discovering reliable biomarkers by integrating statistical and biological approaches: An application to liver toxicity UR - http://ac.els-cdn.com/S0006291X16300821/1-s2.0-S0006291X16300821-main.pdf?_tid=d9387cbc-8330-11e6-a252-00000aab0f26&acdnat=1474815830_4dfce475f6af062bb9adb83d6f3b91fb VL - 471 ID - 1 ER - TY - JOUR AB - Objective: Under SCL index system, through the comparative study, this paper investigates whether there are significant differences in mental illness tendency between Chinese coal mine workers underground and on the ground. Methods: This paper uses computer to retrieve in Medline, Sciencedirect, Web of Science, the Cochrane Library, Springerlink, CNKI, Wanfang and Weipu database. The retrieval time is from the very beginning of building database to the March of 2015. After the extraction of available data, Stata 10.1 analysis software was applied to heterogeneity test on the research. Then the paper uses the random effects model to calculate and combine odds ratio as well as 95% confidence interval. Results: 15 articles were finally included by using Meta analysis. Collating data of the experimental group and control group, this paper carries on forest figure mapping, publication bias test, sensitivity analysis and cumulative Meta analysis, and one study result is found to have great deviation impact on the overall conclusion. Eliminating the above research result, the results are greatly improved. Conclusion: Through the result of the Meta analysis, this paper concludes that there are significant differences in mental illness tendency between Chinese coal mine workers underground and on the ground. 2016 SERSC. AU - Sun, Shanhui AU - Li, Hong AU - Li, Zhuangzhuang DA - 2016 DO - 10.14257/ijunesst.2016.9.8.12 IS - 8 J2 - International Journal of u- and e- Service, Science and Technology KW - Coal Coal mines Diseases Miners random processes Sensitivity analysis Software testing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 20054246 SP - 149-160 ST - Meta-analysis of Chinese coal miners mental illness under SCL index system T2 - International Journal of u- and e- Service, Science and Technology TI - Meta-analysis of Chinese coal miners mental illness under SCL index system UR - http://dx.doi.org/10.14257/ijunesst.2016.9.8.12 VL - 9 ID - 1807 ER - TY - JOUR AB - OBJECTIVE: To assess the efficacy and safety of Dengzhanxixin injection for unstable angina pectoris. METHOD: All clinical studies of Dengzhanxixin injection for unstable angina pectoris (UAP) were searched from Cochrane library, Medline AU - Nie, Xiao-Lu AU - Shen, Hao AU - Xie, Yan-Ming AU - Hu, Jing AU - Zhang, Yue-Lun AU - Li, Yuan-Yuan DA - 2012/09//undefined IS - 18 J2 - Zhongguo Zhong Yao Za Zhi KW - Adult Aged Aged, 80 and over Angina, Unstable/*drug therapy Drugs, Chinese Herbal/*administration & dosage/adverse effects/therapeutic use Female Humans Male Middle Aged Randomized Controlled Trials as Topic LA - chi PY - 2012 SN - 1001-5302 1001-5302 SP - 2768-2773 ST - [Meta-analysis of Dengzhanxixin injection treatment for unstable angina pectoris] T2 - Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica TI - [Meta-analysis of Dengzhanxixin injection treatment for unstable angina pectoris] VL - 37 ID - 28 ER - TY - CONF AB - We will introduce the problem of classification in large cohort studies containing heterogeneous data. The data in a cohort study comes in separate groups, which can be turned on or off. Each group consists of data coming from one specific measurement instrument. We provide a cross-sectional investigation on this data to see the relative power of the different groups. We also propose a way of improving on the classification performance in individual cohort studies using other cohort studies by using an intuitive workflow approach. AU - Vis, J. K. AU - Kok, J. N. C3 - Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications. 6th International Symposium, ISoLA 2014, 8-11 Oct. 2014 DA - 2014 DO - 10.1007/978-3-662-45231-8_32 KW - data mining learning (artificial intelligence) pattern classification PB - Springer Verlag PY - 2014 SP - 407-19 ST - Meta-analysis of Disjoint Sets of Attributes in Large Cohort Studies T3 - Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications. 6th International Symposium, ISoLA 2014. Proceedings: LNCS 8803 TI - Meta-analysis of Disjoint Sets of Attributes in Large Cohort Studies UR - http://dx.doi.org/10.1007/978-3-662-45231-8_32 VL - pt. II ID - 1795 ER - TY - JOUR AB - A meta-synthesis study was conducted of 60 research studies on educational data mining (EDM) and their impacts on and outcomes for improving learning outcomes. After an overview, an examination of these outcomes is provided (Romero, Ventura, Espejo, & Hervás, 2008; Romero, et al., 2011). Then, a review of other EDM-related research published after 2008 (88 studies) was completed. Thirty-nine of those studies also offered an overview of EDM’s impact on learning outcomes. In addition, 12 of the 39 studies investigated the efficacy of EDM for learning outcomes. EDM characteristics (i.e., tools, techniques, models, procedures, measures, and results) were examined in each of the 12 studies. Ninety-four of the total 148 studies showed positive results for EDM. Directions for future research are discussed. AU - AlShammari, Iqbal A. AU - Aldhafiri, Mohammed D. AU - Al-Shammari, Zaid DA - 2013 DP - APA PsycNET IS - 2 KW - *Academic Achievement *Educational Psychology *School Learning Data Mining LA - English PY - 2013 SN - 0146-3934 SP - 326-333 ST - A meta-analysis of educational data mining on improvements in learning outcomes T2 - College Student Journal TI - A meta-analysis of educational data mining on improvements in learning outcomes UR - http://psycnet.apa.org.ezproxy.lib.vt.edu/index.cfm?fa=search.displayRecord&id=3FADC1DE-9041-E9D3-1B0A-3623CB6197E7&resultID=1&page=1&dbTab=all&search=true VL - 47 ID - 449 ER - TY - CONF AB - Functional neuroimaging offers huge amounts of data that require computational tools to help extract useful information about brain function. The ever increasing number of neuroimaging studies (above 5000 in 2012 alone) suggests the need for a meta-analysis of these findings. Meta-analysis is aimed at increasing the power and reliability of findings from individual studies. Currently, two methods of meta-analyses are the most popular in brain imaging literature. The coordinate based meta-analysis (CBMA) which refers to the maximum likelihood of brain activation based on a universal three dimensional coordinate system. The image based meta-analysis (IBMA) which considers the effect sizes from different studies to increase statistical power ignoring the inter-study consistency requirements. This technique is, however, suitable to account for inter-subject variability either pooled over studies or including the inter-study variability. While the coordinate based meta-analysis is easily found through published literature, the image based analysis requires the statistical parametric maps available. These Data mining techniques applied in brain imaging is often termed as the new paradigm in cognitive neuroscience. We here discuss in detail about the available analysis methods. 2013 IEEE. AU - Chawla, Manisha AU - Miyapuram, Krishna P. C3 - 2013 IEEE 2nd International Conference on Image Information Processing, IEEE ICIIP 2013, December 9, 2013 - December 11, 2013 DA - 2013 DO - 10.1109/ICIIP.2013.6707594 KW - Activation analysis Brain Mapping data mining Data processing maximum likelihood estimation neuroimaging Reliability analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2013 SP - 256-260 ST - Meta-analysis of functional neuroimaging data T3 - 2013 IEEE 2nd International Conference on Image Information Processing, IEEE ICIIP 2013 TI - Meta-analysis of functional neuroimaging data UR - http://dx.doi.org/10.1109/ICIIP.2013.6707594 ID - 1879 ER - TY - JOUR AB - Background: The information from multiple microarray experiments can be integrated in an objective manner via meta-analysis. However, multiple meta-analysis approaches are available and their relative strengths have not been directly compared using experimental data in the context of different gene expression scenarios and studies with different degrees of relationship. This study investigates the complementary advantages of meta-analysis approaches to integrate information across studies, and further mine the transcriptome for genes that are associated with complex processes such as behavioral maturation in honey bees. Behavioral maturation and division of labor in honey bees are related to changes in the expression of hundreds of genes in the brain. The information from various microarray studies comparing the expression of genes at different maturation stages in honey bee brains was integrated using complementary metaanalysis approaches. Results: Comparison of lists of genes with significant differential expression across studies failed to identify genes with consistent patterns of expression that were below the selected significance threshold, or identified genes with significant yet inconsistent patterns. The meta-analytical framework supported the identification of genes with consistent overall expression patterns and eliminated genes that exhibited contradictory expression patterns across studies. Sample-level meta-analysis of normalized gene-expression can detect more differentially expressed genes than the study-level metaanalysis of estimates for genes that were well described by similar model parameter estimates across studies and had small variation across studies. Furthermore, study-level meta-analysis was well suited for genes that exhibit consistent patterns across studies, genes that had substantial variation across studies, and genes that did not conform to the assumptions of the sample-level meta-analysis. Meta-analyses confirmed previously reported genes and helped identify genes (e. g. Tomosyn, Chitinase 5, Adar, Innexin 2, Transferrin 1, Sick, Oatp26F) and Gene Ontology categories (e. g. purine nucleotide binding) not previously associated with maturation in honey bees. Conclusion: This study demonstrated that a combination of meta-analytical approaches best addresses the highly dimensional nature of genome-wide microarray studies. As expected, the integration of gene expression information from microarray studies using meta-analysis enhanced the characterization of the transcriptome of complex biological processes. AU - Adams, Heather A. AU - Southey, Bruce R. AU - Robinson, Gene E. AU - Rodriguez-Zas, Sandra L. DA - 2008/10/24/ DO - 10.1186/1471-2164-9-503 L1 - internal-pdf://1101513929/Adams-2008-Meta-analysis of genome-wide expres.pdf PY - 2008 SN - 1471-2164 SP - 503 ST - Meta-analysis of genome-wide expression patterns associated with behavioral maturation in honey bees T2 - Bmc Genomics TI - Meta-analysis of genome-wide expression patterns associated with behavioral maturation in honey bees UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2582039/pdf/1471-2164-9-503.pdf VL - 9 ID - 1914 ER - TY - JOUR AB - Microarray-based studies of global gene expression (GE) have resulted in a large amount of data that can be mined for further insights into disease and physiology. Meta-analysis of these data is hampered by technical limitations due to many different platforms, gene annotations and probes used in different studies. We tested the feasibility of conducting a meta-analysis of GE studies to determine a transcriptional signature of hematopoietic progenitor and stem cells. Data from studies that used normal bone marrow-derived hematopoietic progenitors was integrated using both RefSeq and UniGene identifiers. We observed that in spite of variability introduced by experimental conditions and different microarray platforms, our meta-analytical approach can distinguish biologically distinct normal tissues by clustering them based on their cell of origin. When studied in terms of disease states, GE studies of leukemias and myelodysplasia progenitors tend to cluster with normal progenitors and remain distinct from other normal tissues, further validating the discriminatory power of this meta-analysis. Furthermore, analysis of 57 normal hematopoietic stem and progenitor cell GE samples was used to determine a gene expression signature characteristic of these cells. Genes that were most uniformly expressed in progenitors and at the same time differentially expressed when compared to other normal tissues were found to be involved in important biological processes such as cell cycle regulation and hematopoiesis. Validation studies using a different microarray platform demonstrated the enrichment of several genes such as SMARCE, Septin 6 and others not previously implicated in hematopoiesis. Most interestingly, alpha-integrin, the only common stemness gene discovered in a recent comparative murine analysis (Science 302(5644): 393) was also enriched in our dataset, demonstrating the usefulness of this analytical approach. AU - Sohal, Davendra AU - Yeatts, Andrew AU - Ye, Kenny AU - Pellagatti, Andrea AU - Zhou, Li AU - Pahanish, Perry AU - Mo, Yongkai AU - Bhagat, Tushar AU - Mariadason, John AU - Boultwood, Jacqueline AU - Melnick, Ari AU - Greally, John AU - Verma, Amit DA - 2008/08/13/ DO - 10.1371/journal.pone.0002965 IS - 8 PY - 2008 SN - 1932-6203 SP - e2965 ST - Meta-Analysis of Microarray Studies Reveals a Novel Hematopoietic Progenitor Cell Signature and Demonstrates Feasibility of Inter-Platform Data Integration T2 - Plos One TI - Meta-Analysis of Microarray Studies Reveals a Novel Hematopoietic Progenitor Cell Signature and Demonstrates Feasibility of Inter-Platform Data Integration VL - 3 ID - 1926 ER - TY - JOUR AB - Background: DNA microarray technology has had a great impact on muscle research and microarray gene expression data has been widely used to identify gene signatures characteristic of the studied conditions. With the rapid accumulation of muscle microarray data, it is of great interest to understand how to compare and combine data across multiple studies. Meta-analysis of transcriptome data is a valuable method to achieve it. It enables to highlight conserved gene signatures between multiple independent studies. However, using it is made difficult by the diversity of the available data: different microarray platforms, different gene nomenclature, different species studied, etc. Description: We have developed a system tool dedicated to muscle transcriptome data. This system comprises a collection of microarray data as well as a query tool. This latter allows the user to extract similar clusters of co-expressed genes from the database, using an input gene list. Common and relevant gene signatures can thus be searched more easily. The dedicated database consists in a large compendium of public data (more than 500 data sets) related to muscle (skeletal and heart). These studies included seven different animal species from invertebrates (Drosophila melanogaster, Caenorhabditis elegans) and vertebrates (Homo sapiens, Mus musculus, Rattus norvegicus, Canis familiaris, Gallus gallus). After a renormalization step, clusters of co-expressed genes were identified in each dataset. The lists of co-expressed genes were annotated using a unified re-annotation procedure. These gene lists were compared to find significant overlaps between studies. Conclusions: Applied to this large compendium of data sets, meta-analyses demonstrated that conserved patterns between species could be identified. Focusing on a specific pathology (Duchenne Muscular Dystrophy) we validated results across independent studies and revealed robust biomarkers and new pathways of interest. The meta-analyses performed with MADMuscle show the usefulness of this approach. Our method can be applied to all public transcriptome data. AU - Baron, Daniel AU - Dubois, Emeric AU - Bihouee, Audrey AU - Teusan, Raluca AU - Steenman, Marja AU - Jourdon, Philippe AU - Magot, Armelle AU - Pereon, Yann AU - Veitia, Reiner AU - Savagner, Frederique AU - Ramstein, Gerard AU - Houlgatte, Remi DA - 2011/02/16/ DO - 10.1186/1471-2164-12-113 L1 - internal-pdf://2306743118/Baron-2011-Meta-analysis of muscle transcripto.pdf PY - 2011 SN - 1471-2164 SP - 113 ST - Meta-analysis of muscle transcriptome data using the MADMuscle database reveals biologically relevant gene patterns T2 - Bmc Genomics TI - Meta-analysis of muscle transcriptome data using the MADMuscle database reveals biologically relevant gene patterns UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3049149/pdf/1471-2164-12-113.pdf VL - 12 ID - 1920 ER - TY - CHAP A2 - Ching, X. A2 - Dvorik, V. AB - With the development of network economy, network and information security has become an important factor in the further development of the network economy. Web data mining technology is a key technology to enhance the performance of network information security. It can effectively improve network and information security. Based on this, we study Meta-analysis of network information security and Web data mining techniques deeply. AU - Wu, Dongling AU - Shan, Shaolong PY - 2015 SN - 978-94-6252-067-7 SP - 1974-1977 ST - Meta-analysis of network information security and Web data mining techniques T2 - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy (icismme 2015) TI - Meta-analysis of network information security and Web data mining techniques VL - 126 ID - 1919 ER - TY - JOUR AB - The goals of this study were to gain a better quantitative understanding of the dynamic range of transcriptional and translational response observed in biological systems and to examine the reporting of regulatory events for trends and biases. A straightforward pattern-matching routine extracted 3,408 independent observations regarding transcriptional fold-changes and 1,125 regarding translational fold-changes from over 15 million MEDLINE abstracts. Approximately 95% of reported changes were > or =2-fold. Further, the historical trend of reporting individual fold-changes is declining in favor of high-throughput methods for transcription but not translation. Where it was possible to compare the average fold-changes in transcription and translation for the same gene/product (203 examples), approximately 53% were a < or =2-fold difference, suggesting a loose tendency for the two to be coupled in magnitude. We found also that approximately three-fourths of reported regulatory events have been at the transcriptional level. The frequency distribution appears to be normally distributed and peaks near 2-fold, suggesting that nature selects for a low-energy solution to regulatory responses. Because high-throughput technologies ordinarily sacrifice measurement quality for quantity, this also suggests that many regulatory events may not be reliably detectable by such technologies. Text mining of regulatory events and responses provides additional information incorporable into microarray analysis, such as prior fold-change observations and flagging genes that are regulated post-transcription. All extracted regulation and response patterns can be downloaded at the following website: www.ou.edu/microarray/ oumcf/Meta_analysis.xls. AU - Wren, Jonathan D. AU - Conway, Tyrrell DA - 2006 Spring DO - 10.1089/omi.2006.10.15 IS - 1 J2 - OMICS KW - *Gene Expression Regulation *Protein Biosynthesis *Transcription, Genetic Medline Microarray Analysis Statistics as Topic LA - eng PY - 2006 SN - 1536-2310 1536-2310 SP - 15-27 ST - Meta-analysis of published transcriptional and translational fold changes reveals a preference for low-fold inductions T2 - Omics : a journal of integrative biology TI - Meta-analysis of published transcriptional and translational fold changes reveals a preference for low-fold inductions VL - 10 ID - 102 ER - TY - JOUR AB - Classification of remotely sensed imagery for land-cover mapping purposes has attracted significant attention from researchers and practitioners. Numerous studies conducted over several decades have investigated a broad array of input data and classification methods. However, this vast assemblage of research results has not been synthesized to provide coherent guidance on the relative performance of different classification processes for generating land cover products. To address this problem, we completed a statistical meta-analysis of the past 15 years of research on supervised per-pixel image classification published in five high-impact remote sensing journals. The two general factors evaluated were classification algorithms and input data manipulation as these are factors that can be controlled by analysts to improve classification accuracy. The meta-analysis revealed that inclusion of texture information yielded the greatest improvement in overall accuracy of land-cover classification with an average increase of 12.1%. This increase in accuracy can be attributed to the additional spatial context information provided by including texture. Inclusion of ancillary data, multi-angle and time images also provided significant improvement in classification overall accuracy, with 8.5%, 8.0%, and 6.9% of average improvements, respectively. In contrast, other manipulation of spectral information such as index creation (e.g. Normalized Difference Vegetation Index) and feature extraction (e.g. Principal Components Analysis) offered much smaller improvements in accuracy. In terms of classification algorithms, support vector machines achieved the greatest accuracy, followed by neural network methods. The random forest classifier performed considerably better than the traditional decision tree classifier. Maximum likelihood classifiers, often used as benchmarking algorithms, offered low accuracy. Our findings will help guide practitioners to decide which classification to implement and also provide direction to researchers regarding comparative studies that will further solidify our understanding of different classification processes. However, these general guidelines do not preclude an analyst from incorporating personal preferences or considering specific algorithmic benefits that may be pertinent to a particular application. 2016. AU - Khatami, Reza AU - Mountrakis, Giorgos AU - Stehman, Stephen V. DA - 2016 DO - 10.1016/j.rse.2016.02.028 J2 - Remote Sensing of Environment KW - Algorithms artificial intelligence Classification (of information) data mining decision trees feature extraction Image analysis image classification Input output programs Learning systems Mapping Maximum likelihood Pixels Principal Component Analysis REMOTE SENSING Support Vector Machines Textures L1 - internal-pdf://1412017135/Khatami-2016-A meta-analysis of remote sensing.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 00344257 SP - 89-100 ST - A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research T2 - Remote Sensing of Environment TI - A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research UR - http://dx.doi.org/10.1016/j.rse.2016.02.028 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0034425716300578/1-s2.0-S0034425716300578-main.pdf?_tid=93d8808c-833e-11e6-acfc-00000aab0f6c&acdnat=1474821727_0e315050c7a338f66a54a37df03ce8dc VL - 177 ID - 1814 ER - TY - JOUR AB - Human geneticists are increasingly turning to study designs based on very large sample sizes to overcome difficulties in studying complex disorders. This in turn almost always requires multi-site data collection and processing of data through centralized repositories. While such repositories offer many advantages, including the ability to return to previously collected data to apply new analytic techniques, they also have some limitations. To illustrate, we reviewed data from seven older schizophrenia studies available from the NIMH-funded Center for Collaborative Genomic Studies on Mental Disorders, also known as the Human Genetics Initiative (HGI), and assessed the impact of data cleaning and regularization on linkage analyses. Extensive data regularization protocols were developed and applied to both genotypic and phenotypic data. Genome-wide nonparametric linkage (NPL) statistics were computed for each study, over various stages of data processing. To assess the impact of data processing on aggregate results, Genome-Scan Meta-Analysis (GSMA) was performed. Examples of increased, reduced and shifted linkage peaks were found when comparing linkage results based on original HGI data to results using post-processed data within the same set of pedigrees. Interestingly, reducing the number of affected individuals tended to increase rather than decrease linkage peaks. But most importantly, while the effects of data regularization within individual data sets were small, GSMA applied to the data in aggregate yielded a substantially different picture after data regularization. These results have implications for analyses based on other types of data (e.g., case-control GWAS or sequencing data) as well as data obtained from other repositories. AU - Walters, Kimberly A. AU - Huang, Yungui AU - Azaro, Marco AU - Tobin, Kathleen AU - Lehner, Thomas AU - Brzustowicz, Linda M. AU - Vieland, Veronica J. DA - 2014 DO - 10.1371/journal.pone.0084696 IS - 1 J2 - PLoS One KW - *Schizophrenia Data Interpretation, Statistical Data Mining/*methods Humans Medical Informatics/*methods National Institute of Mental Health (U.S.)/*statistics & numerical data United States LA - eng PY - 2014 SN - 1932-6203 1932-6203 SP - e84696 ST - Meta-analysis of repository data: impact of data regularization on NIMH schizophrenia linkage results T2 - PloS one TI - Meta-analysis of repository data: impact of data regularization on NIMH schizophrenia linkage results VL - 9 ID - 42 ER - TY - JOUR AB - Qi, Z.-m., Sun Y.-n., Wu, Q., Liu, C.-y., Hu, G.-h. and Chen, Q.-s. 2011. A meta-analysis of seed protein concentration QTL in soybean. Can. J. Plant Sci. 91: 221-230. An integrated map of QTLs related to seed protein concentration in soybean has been constructed, based on the public genetic map, soymap2 as a reference map, along with a set of 107 QTLs reported in the literature over the past 20 yr. Each of these QTLs was projected onto the soymap2 by software package BioMercator v2.1. Twenty-three consensus QTLs were detected. The confidence interval at all sites ranged from 1.52 to 14.31cM, and the proportion of the phenotypic variance associated with each of them from 1.5 to 20.8%. Major chromosomal sites were identified on LG I (Gm20), four important sites were identified, involving LG A1 (Gm05), B2 (Gm14), E (Gm07) and M (Gm15). A meta-analysis approach was used to improve the precision of the location of these sites. These results facilitate gene mining and molecular assist-selection in soybean. AU - Zhao-ming, Qi AU - Ya-nan, Sun AU - Qiong, Wu AU - Chun-yan, Liu AU - Guo-hua, Hu AU - Qing-shan, Chen DA - 2011/01// DO - 10.4141/CJPS09193 IS - 1 PY - 2011 SN - 0008-4220 SP - 221-230 ST - A meta-analysis of seed protein concentration QTL in soybean T2 - Canadian Journal of Plant Science TI - A meta-analysis of seed protein concentration QTL in soybean VL - 91 ID - 1916 ER - TY - JOUR AB - Increased understanding of the influences of management practices on soil properties and associated ecosystem function is needed to improve tools used to administer conservation programs in the United States. This study used meta-analysis to assess the influence of cropping systems (conventional, conservation with minimum tillage, conservation with no-till, and organic systems) and management practices (nitrogen [N] fertility and rotation length) on soil organic carbon (SOC). These factors are considered by tools that evaluate conservation performance and provision of ecosystem services. We also reviewed the literature to determine whether this approach could be applied to other proxy variables (erosion rates, soil erodibility factor [K values], available phosphorus [P], and nitrous oxide [N2O]). Data mining was used to populate a database with variables representing practices used by the Natural Resource Conservation Service's Conservation Measurement Tool (CMT) to determine eligibility for the Conservation Stewardship Program. Data collected from 55 peer-reviewed studies was categorized based on sampling depth (0 to 10, 0 to 15, 0 to 20, and 0 to 30 cm [0 to 3.9, 0 to 5.9, 0 to 7.8, and 0 to 11.8 in]). The magnitude of the effect estimated by meta-analysis was then compared to scores assigned to practices in the soil quality module of the CMT. Meta-analysis of data from the 0 to 20 cm (0 to 7.8 in) depth suggested that rates of SOC accrual were similar in organic systems using diversified crop rotations and conservation systems using inorganic fertility sources, increasing SOC by 9% compared to the conventional control. In comparisons at the 0 to 30 cm (0 to 11.8 in) depth, results from conservation systems using no-till and organic systems diverged, with conservation systems relying on no-till producing no gains while organic systems produced a 29% increase in SOC. While the use of organic amendments generally increased SOC, the magnitude of the effect was more modest than suggested by current CMT weighting. In addition, our results suggested that quality of manure, which is not differentiated in the CMT, influences the magnitude of the effect and that addition of wet manure may decrease SOC. A comparison of rotation length showed cropping systems with rotations of 3 years or longer were better able to increase SOC than shorter rotations. These findings suggested that the CMT generally ranks practices appropriately and shows how meta-analysis could be used to adjust credits awarded for use of reduced or no-till practices or different fertility sources. AU - Ugarte, C. M. AU - Kwon, H. AU - Andrews, S. S. AU - Wander, M. M. DA - 2014/10//SEP DO - 10.2489/jswc.69.5.422 IS - 5 PY - 2014 SN - 0022-4561 SP - 422-430 ST - A meta-analysis of soil organic matter response to soil management practices: An approach to evaluate conservation indicators T2 - Journal of Soil and Water Conservation TI - A meta-analysis of soil organic matter response to soil management practices: An approach to evaluate conservation indicators VL - 69 ID - 1927 ER - TY - JOUR AB - Next generation sequencing (NGS) has been used to characterize the overall genomic landscape of melanomas. Here, we systematically examined mutations from recently published melanoma NGS data involving 241 paired tumor-normal samples to identify potentially clinically relevant mutations. Melanomas were characterized according to an in-house clinical assay that identifies well-known specific recurrent mutations in five driver genes: BRAF (affecting V600), NRAS (G12, G13, and Q61), KIT (W557, V559, L576, K642, and D816), GNAQ (Q209), and GNA11 (Q209). Tumors with none of these mutations are termed "pan negative." We then mined the driver mutation-positive and pan-negative melanoma NGS data for mutations in 632 cancer genes that could influence existing or emerging targeted therapies. First, we uncovered several genes whose mutations were more likely associated with BRAF- or NRAS-driven melanomas, including TP53 and COL1A1 with BRAF, and PPP6C, KALRN, PIK3R4, TRPM6, GUCY2C, and PRKAA2 with NRAS. Second, we found that the 69 "pan-negative" melanoma genomes harbored alternate infrequent mutations in the five known driver genes along with many mutations in genes encoding guanine nucleotide binding protein a-subunits. Third, we identified 12 significantly mutated genes in "pan-negative" samples (ALK, STK31, DGKI, RAC1, EPHA4, ADAMTS18, EPHA7, ERBB4, TAF1L, NF1, SYK, and KDR), including five genes (RAC1, ADAMTS18, EPHA7, TAF1L, and NF1) with a recurrent mutation in at least two "pan-negative" tumor samples. This meta-analysis provides a road map for the study of additional potentially actionable genes in both driver mutation-positive and pan-negative melanomas. (C) 2014 AACR. AU - Xia, Junfeng AU - Jia, Peilin AU - Hutchinson, Katherine E. AU - Dahlman, Kimberly B. AU - Johnson, Douglas AU - Sosman, Jeffrey AU - Pao, William AU - Zhao, Zhongming DA - 2014/07// DO - 10.1158/1535-7163.MCT-13-0804 IS - 7 PY - 2014 SN - 1535-7163 SP - 1918-1928 ST - A Meta-analysis of Somatic Mutations from Next Generation Sequencing of 241 Melanomas: A Road Map for the Study of Genes with Potential Clinical Relevance T2 - Molecular Cancer Therapeutics TI - A Meta-analysis of Somatic Mutations from Next Generation Sequencing of 241 Melanomas: A Road Map for the Study of Genes with Potential Clinical Relevance VL - 13 ID - 1933 ER - TY - JOUR AB - Biofuel policy changes in the United States have renewed interest in soybean [Glycine max (L.) Merr.] biodiesel. Past studies with varying methodologies and functional units can provide valuable information for future work. A meta-analysis of nine peer-reviewed soybean life cycle analysis (LCA) biodiesel studies was conducted on the northern Great Plains in the United States. Results of LCA studies were assimilated into a standardized system boundary and functional units for global warming (GWP), eutrophication (EP), and acidification (AP) potentials using biodiesel conversions from peer-reviewed and government documents. Factors not fully standardized included variations in Ninf2/infO accounting, mid-or end-point impacts, land use change, allocation, and statistical sampling pools. A state-by-state comparison of GWP lower and higher heating values (LHV, HHV) showed differences attributable to variations in spatial sampling and agricultural practices (e.g., tillage, irrigation). The mean GWP of LHV was 21.1 gCOinf2/inf-eq MJsup-1/sup including outliers, and median EP LHV and AP LHV was 0.019 gPOinf4/inf-eq MJsup-1/sup and 0.17 gSOinf2/inf-eq MJsup-1/sup, respectively, using the limited data available. An LCA case study of South Dakota soybean-based biodiesel production resulted in GWP estimates (29 or 31 gCOinf2/inf-eq MJsup-1/sup; 100% mono alkyl esters [first generation] biodiesel or 100% fatty acid methyl ester [second generation] biodiesel) similar to meta-analysis results (30.1 gCOinf2/inf-eq MJsup-1/sup). Meta-analysis mean results, including outliers, resemble the California Low Carbon Fuel Standard for soybean biodiesel default value without land use change of 21.25 gCOinf2/inf-eq MJsup-1/sup. Results were influenced by resource investment differences in water, fertilizer (e.g., type, application), and tillage. Future biofuel LCA studies should include these important factors to better define reasonable energy variations in regional agricultural management practices. 2015 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America. AU - Sieverding, Heidi L. AU - Bailey, Lisa M. AU - Hengen, Tyler J. AU - Clay, David E. AU - Stone, James J. DA - 2015 DO - 10.2134/jeq2014.07.0320 IS - 4 J2 - Journal of Environmental Quality KW - Agricultural machinery Agriculture Amino acids Biodiesel Biofuels Carbon economics Esters Eutrophication Fatty acids Global warming Investments Land use Life cycle Nitrogen fixation Sampling Statistics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 00472425 SP - 1038-1048 ST - Meta-analysis of soybean-based biodiesel T2 - Journal of Environmental Quality TI - Meta-analysis of soybean-based biodiesel UR - http://dx.doi.org/10.2134/jeq2014.07.0320 VL - 44 ID - 1823 ER - TY - JOUR AB - Objective: This article presents a meta-analysis of 48 teen cigarette smoking cessation studies, the 1st meta-analysis of its kind. The authors conducted searches of electronic databases and unpublished manuscripts from 1970 to 2003. Fifty contextual elements were coded from each article. A weighted least squares random effects method was used to pool results from individual study net effects estimates. Multilevel random coefficients modeling was applied to control for the intrastudy variation. Main Outcome Measures: The primary outcome for the present analysis was quit rate. Data were entered as intent-to-treat (ITT) quit rates (not compliance sample rates). Overall treatment effect size and treatment effect sizes as a function of program content, modality, number of sessions, and length of follow-up were examined. Results: Across studies, program conditions, compared with control conditions, appeared to give smokers a 2.90% (95% confidence interval = 1.47-4.35%) absolute advantage in quitting, increasing the probability of quitting by approximately 46% (9.14% vs. 6.24%). Relatively higher quit rates were found in programs that included a motivation enhancement component, cognitive-behavioral techniques, and social influence approaches. Also, relatively higher quit rates were found in school-based clinic and classroom modalities. Furthermore, relatively higher quit rates were found for programs consisting of at least 5 quit sessions. Data also indicated that the effects were maintained at short-term (1 year or less) and longer term (longer than 1 year) follow-ups. Conclusion: Much more teen smoking cessation research is needed, but teen smoking cessation programming is effective, and the present study provides a framework to move forward. ((c) 2006 APA, all rights reserved). AN - 106215323. Language: English. Entry Date: 20070119. Revision Date: 20150711. Publication Type: Journal Article AU - Sussman, S. AU - Sun, P. AU - Dent, C. W. DA - 2006/09// DB - c8h DP - EBSCOhost IS - 5 J2 - Health Psychology KW - Adolescence Adolescent Health Adult Child Data Analysis, Statistical Data Collection Methods data mining Ethnic Groups Funding Source Human Information Resources Medline meta analysis Models, Psychological Models, Theoretical Psycinfo Research Methodology Search Engines Smoking Cessation -- Evaluation -- In Adolescence Smoking Cessation Programs -- In Adolescence Teaching Methods -- In Adolescence Treatment Outcomes N1 - equations & formulas; research; systematic review; tables/charts. Journal Subset: Biomedical; Peer Reviewed; USA. Special Interest: Evidence-Based Practice; Psychiatry/Psychology. Grant Information: Supported in part by Tobacco-Related Disease Research Program Grants 6RT-0182 and 9HT-3201. NLM UID: 8211523. PY - 2006 SN - 0278-6133 SP - 549-557 ST - A meta-analysis of teen cigarette smoking cessation T2 - Health Psychology TI - A meta-analysis of teen cigarette smoking cessation UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=106215323&scope=site VL - 25 ID - 404 ER - TY - JOUR AB - A growing number of studies argue that organizational improvisation is increasingly important for the competitive advantage of firms. Given growing interest in organizational improvisation, this paper proposed a framework for its outcomes and tested it using meta-analysis. Based on analysis of 49 correlations from 48 studies on the topic, the paper offered much needed clarity. The research results indicated that organizational improvisation-performance link was positive and significant. Results also showed that this relationship is context dependent. Using sub-group analysis and meta-regression analysis, the paper identified some moderators affecting this relationship. Factors such as the cultural context, the data source and improvisational measuring dimensions affected the impact of organizational improvisation on performance to a large extent. In addition, there wasn't publication bias in this study through the analysis of funnel plot, Begg's rank correlation test and Egger's regression analysis. Based on these findings, we developed recommendations for future research. AU - Gao, Pengbin AU - Song, Yiduo AU - Mi, Jianing DA - 2015 IS - 11 J2 - Metallurgical and Mining Industry KW - Competition Moderators Regression Analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 20760507 SP - 61-72 ST - A meta-analysis of the relationship between organizational improvisation and performance T2 - Metallurgical and Mining Industry TI - A meta-analysis of the relationship between organizational improvisation and performance VL - 7 ID - 1803 ER - TY - JOUR AB - Background: As one important cancer in world, breast cancer is a hot topic for researchers. A large number of genome-wide association studies of persons with breast cancer have widely studied the association between rs3803662 and breast cancer risk. However, the results remain inconclusive. So, we want to clarify the association between them through a classical statistics method: a meta-analysis. Methods and results: We mined the literature for publications on the TNRC9 rs3803662 polymorphism and breast cancer risk. We then performed a meta-analysis on the genotype data. To assess the association, we estimated odds ratios (ORs) with 95% confidence intervals (CIs). We performed sensitivity analysis, heterogeneity tests, cumulative meta-analysis, and bias assessment. Our meta-analysis confirmed that TNRC9 rs3803662 polymorphisms increased breast cancer risk using thirteen case-control studies. These data are consistent for all genetic models: the allele model, the dominant model, the recessive model, and the additive model. The results of subgroup analysis suggest that the association in Caucasians appeared more significant than in Asians. Conclusions: Our study suggests that TNRC9 rs3803662 polymorphisms may be a risk-conferring factor for breast cancer. Further functional studies on the role of rs3803662 in breast cancer pathogenesis are warranted. AU - Deng, Zhiping AU - Shi, Xugang AU - Liu, Qiufang AU - Wang, Zhouquan AU - Feng, Tian AU - Jin, Tianbo AU - Ren, Hong DA - 2016 IS - 3 PY - 2016 SN - 1940-5901 SP - 6228-6236 ST - Meta-analysis of TNRC9 rs3803662 polymorphism and breast cancer risk T2 - International Journal of Clinical and Experimental Medicine TI - Meta-analysis of TNRC9 rs3803662 polymorphism and breast cancer risk VL - 9 ID - 1890 ER - TY - JOUR AB - AIM: Meta-analysis on the effectiveness of the autologous stem cell transplantation in curing limb ischemic. METHOD: Consulting papers relate to the autologous stem cell transplantation in curing limb ischemic in PubMed, CNKI, Wan-fang Data and VIP. Based on include and exclude standards, we arrange at least 2 evaluators sifting these papers separately, doing Quality evaluation and information extraction and then cross checking. Negotiate through a third party if any disagreement comes out. Review Manager 4.2 is used in Meta-analysis. RESULT: Involved 7 papers, all in English version. Patients involved all diagnosed as critical limb ischemia (CLI). Results show that no adverse reaction occurred during this study. Amputation rate in patients with stem cell group treatment is lower than control group (P < 0.05). And no notable difference in improving ABI (P > 0.05). CONCLUSIONS: Applying autologous stem cell transplantation in curing limb ischemic does not have obviously effectiveness in the improvement of ABI of the limb ischemic patients. But it can dramatically reduce the rate of amputation. So autologous stem cell transplantation is a good and safe choice for patients have no choice but amputation. AU - Sun, Xiuqin AU - Ying, Jilin AU - Wang, Yunan AU - Li, Wei AU - Wu, Yaojiang AU - Yao, Baoting AU - Liu, Ying AU - Gao, Hongkai AU - Zhang, Xiaomei DA - 2015 IS - 6 J2 - Int J Clin Exp Med KW - limb ischemic Meta-analysis Stem cell LA - eng PY - 2015 SN - 1940-5901 1940-5901 SP - 8740-8748 ST - Meta-analysis on autologous stem cell transplantation in the treatment of limb ischemic T2 - International journal of clinical and experimental medicine TI - Meta-analysis on autologous stem cell transplantation in the treatment of limb ischemic VL - 8 ID - 35 ER - TY - JOUR AB - Defining the precise clean-up goals for lead (Pb) contaminated sites requires site-specific information on relative bioavailability data (RBA). While in vivo measurement is reliable but resource insensitive, in vitro approaches promise to provide high-throughput RBA predictions. One challenge on using in vitro bioaccessibility (BAc) to predict in vivo RBA is how to minimize the heterogeneities associated with in vivo-in vitro correlations (IVIVCs) stemming from various biomarkers (kidney, blood, liver, urinary and femur), in vitro approaches and studies. In this study, 252 paired RBA-BAc data were retrieved from 9 publications, and then a Bayesian hierarchical model was implemented to address these random effects. A generic linear model (RBA (%) = (0.87 0.16) BAc + (4.70 2.47)) of the IVIVCs was identified. While the differences of the IVIVCs among the in vitro approaches were significant, the differences among biomarkers were relatively small. The established IVIVCs were then applied to predict Pb RBA of which an overall Pb RBA estimation was 0.49 0.25. In particular the RBA in the residential land was the highest (0.58 0.19), followed by house dust (0.46 0.20) and mining/smelting soils (0.45 0.31). This is a new attempt to: firstly, use a meta-analysis to correlate Pb RBA and BAc; and secondly, estimate Pb RBA in relation to soil types. 2016 Elsevier Ltd. AU - Dong, Zhaomin AU - Yan, Kaihong AU - Liu, Yanju AU - Naidu, Ravi AU - Duan, Luchun AU - Wijayawardena, Ayanka AU - Semple, Kirk T. AU - Rahman, Mohammad Mahmudur DA - 2016 DO - 10.1016/j.envint.2016.04.009 J2 - Environment International KW - Biochemistry Biomarkers Forecasting Hierarchical systems Lead random processes Soils L1 - internal-pdf://0420687483/Dong-2016-A meta-analysis to correlate lead bi.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 01604120 SP - 139-145 ST - A meta-analysis to correlate lead bioavailability and bioaccessibility and predict lead bioavailability T2 - Environment International TI - A meta-analysis to correlate lead bioavailability and bioaccessibility and predict lead bioavailability UR - http://dx.doi.org/10.1016/j.envint.2016.04.009 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0160412016301398/1-s2.0-S0160412016301398-main.pdf?_tid=cfef17cc-8332-11e6-8bda-00000aacb361&acdnat=1474816674_1975c377a3e7e655718dca13eae8fd1c VL - 92-93 ID - 1808 ER - TY - JOUR AU - Walker, Esteban AU - Hernandez, Adrian V. AU - Kattan, Michael W. DA - 2008 DP - Google Scholar IS - 6 L1 - http://www.isdbweb.org/app/webroot/documents/file/1321_2.pdf PY - 2008 SP - 431 ST - Meta-analysis T2 - Cleveland Clinic Journal of Medicine TI - Meta-analysis: Its strengths and limitations UR - http://www.isdbweb.org/app/webroot/documents/file/1321_2.pdf VL - 75 Y2 - 2016/09/24/16:09:17 ID - 2459 ER - TY - JOUR AB - BACKGROUND: Researches have been conducted for the identification of differentially expressed genes (DEGs) by generating and mining of cDNA expressed sequence tags (ESTs) for more than a decade. Although the availability of public databases make possible the comprehensive mining of DEGs among the ESTs from multiple tissue types, existing studies usually employed statistics suitable only for two categories. Multi-class test has been developed to enable the finding of tissue specific genes, but subsequent search for cancer genes involves separate two-category test only on the ESTs of the tissue of interest. This constricts the amount of data used. On the other hand, simple pooling of cancer and normal genes from multiple tissue types runs the risk of Simpson's paradox. Here we presented a different approach which searched for multi-cancer DEG candidates by analyzing all pertinent ESTs in all categories and narrowing down the cancer biomarker candidates via integrative analysis with microarray data and selection of secretory and membrane protein genes as well as incorporation of network analysis. Finally, the differential expression patterns of three selected cancer biomarker candidates were confirmed by real-time qPCR analysis. RESULTS: Seven hundred and twenty three primary DEG candidates (p-value < 0.05 and lower bound of confidence interval of odds ratio >/= 1.65) were selected from a curated EST database with the application of Cochran-Mantel-Haenszel statistic (CMH). GeneGO analysis results indicated this set as neoplasm enriched. Cross-examination with microarray data further narrowed the list down to 235 genes, among which 96 had membrane or secretory annotations. After examined the candidates in protein interaction network, public tissue expression databases, and literatures, we selected three genes for further evaluation by real-time qPCR with eight major normal and cancer tissues. The higher-than-normal tissue expression of COL3A1, DLG3, and RNF43 in some of the cancer tissues is in agreement with our in silico predictions. CONCLUSIONS: Searching digitized transcriptome using CMH enabled us to identify multi-cancer differentially expressed gene candidates. Our methodology demonstrated simultaneously analysis for cancer biomarkers of multiple tissue types with the EST data. With the revived interest in digitizing the transcriptomes by NGS, cancer biomarkers could be more precisely detected from the ESTs. The three candidates identified in this study, COL3A1, DLG3, and RNF43, are valuable targets for further evaluation with a larger sample size of normal and cancer tissue or serum samples. AU - Wu, Timothy H. AU - Chu, Lichieh J. AU - Wang, Jian-Chiao AU - Chen, Ting-Wen AU - Tien, Yin-Jing AU - Lin, Wen-Chang AU - Ng, Wailap V. DA - 2012 DO - 10.1186/1471-2164-13-S7-S12 J2 - BMC Genomics KW - *Expressed Sequence Tags Biomarkers, Tumor/genetics/*metabolism Collagen Type III/genetics/metabolism Databases, Factual DNA-Binding Proteins/genetics/metabolism Gene Regulatory Networks Genome, Human Humans Nuclear Proteins/genetics/metabolism Odds Ratio Oncogene Proteins/genetics/metabolism Transcription Factors/genetics/metabolism LA - eng PY - 2012 SN - 1471-2164 1471-2164 SP - S12 ST - Meta-analytical biomarker search of EST expression data reveals three differentially expressed candidates T2 - BMC genomics TI - Meta-analytical biomarker search of EST expression data reveals three differentially expressed candidates VL - 13 Suppl 7 ID - 249 ER - TY - CONF AB - Frequent patterns mining is one of the most important data mining techniques, used for extracting information and knowledge from ordinary data. In this paper, we are interested by improving Apriori, which is one of the most used algorithm for extracting frequent patterns. First, we propose some enhancements for the Apriori algorithm. Then we develop Meta-Apriori a new recursive algorithm based on Apriori. As we know, the major drawback of Apriori is its temporal complexity, which makes it difficult to practice. The aim of our algorithm is to reduce substantially the runtime so as, to increase its efficiency while preserving its effectiveness. The main idea is to use the divide and conquer technique, which consists in partitioning the whole database into small ones and then applying Meta-Apriori if the database is huge or Apriori if it is of reasonable size. By merging the achieved results, we obtain the outcomes for the whole database. AU - Benhamouda, N. C. AU - Drias, H. AU - Hireche, C. C3 - Intelligent Information and Database Systems. 8th Asian Conference, ACIIDS 2016, 14-16 March 2016 DA - 2016 DO - 10.1007/978-3-662-49390-8_27 KW - data analysis Database management systems data mining divide and conquer methods feature extraction PB - Springer PY - 2016 SP - 277-85 ST - Meta-Apriori: a New Algorithm for Frequent Pattern Detection T3 - Intelligent Information and Database Systems. 8th Asian Conference, ACIIDS 2016. Proceedings: LNCS 9622 TI - Meta-Apriori: a New Algorithm for Frequent Pattern Detection UR - http://dx.doi.org/10.1007/978-3-662-49390-8_27 VL - pt.II ID - 1839 ER - TY - CONF AB - Association rules have been widely used in many application areas to extract from raw data new and useful information expressed in a comprehensive way for decision makers. Nowadays, with the increase of the volume and the variety of data, the classical data mining workflow is showing insufficient. We can expect in the near future that, more often than not, several mining processes will be carried out over the same or different sources, thus requiring extracted information to be fused in order to provide a unified, not overwhelming view to the user. In this paper we propose a new technique for fusing associations rules. The notion of meta-association rule is introduced for that purpose. Meta-association rules are association rules where the antecedent or the consequent can contain regular rules that have been previously extracted with a high reliability in a high percentage of the source databases. We illustrate out proposal with an example in the domain of crime data analysis. 2014 International Society of Information Fusion. AU - Ruiz, M. Dolores AU - Gomez-Romero, Juan AU - Martin-Bautista, Maria J. AU - Sanchez, Daniel AU - Delgado, Miguel C3 - 17th International Conference on Information Fusion, FUSION 2014, July 7, 2014 - July 10, 2014 DA - 2014 KW - Association rules data mining N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2014 SP - IBM;-Indra ST - Meta-association rules for fusing regular association rules from different databases T3 - FUSION 2014 - 17th International Conference on Information Fusion TI - Meta-association rules for fusing regular association rules from different databases ID - 1659 ER - TY - JOUR AB - Association rules have been widely used in many application areas to extract new and useful information expressed in a comprehensive way for decision makers from raw data. However, raw data may not always be available, it can be distributed in multiple datasets and therefore there resulting number of association rules to be inspected is overwhelming. In the light of these observations, we propose meta-association rules, a new framework for mining association rules over previously discovered rules in multiple databases. Meta-association rules are a new tool that convey new information from the patterns extracted from multiple datasets and give a summarized representation about most frequent patterns. We propose and compare two different algorithms based respectively on crisp rules and fuzzy rules, concluding that fuzzy meta-association rules are suitable to incorporate to the meta-mining procedure the obtained quality assessment provided by the rules in the first step of the process, although it consumes more time than the crisp approach. In addition, fuzzy meta-rules give a more manageable set of rules for its posterior analysis and they allow the use of fuzzy items to express additional knowledge about the original databases. The proposed framework is illustrated with real-life data about crime incidents in the city of Chicago. Issues such as the difference with traditional approaches are discussed using synthetic data. 2016 Elsevier B.V. AU - Ruiz, M. D. AU - Gomez-Romero, J. AU - Molina-Solana, M. AU - Campana, J. R. AU - Martin-Bautista, M. J. DA - 2016 DO - 10.1016/j.asoc.2016.08.014 J2 - Applied Soft Computing Journal KW - Association rules decision making Fuzzy inference Fuzzy rules N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 15684946 SP - 212-223 ST - Meta-association rules for mining interesting associations in multiple datasets T2 - Applied Soft Computing Journal TI - Meta-association rules for mining interesting associations in multiple datasets UR - http://dx.doi.org/10.1016/j.asoc.2016.08.014 VL - 49 ID - 1652 ER - TY - CONF AB - Previous in situ examination of U(VI) spiked concrete indicated that uranyl-oxyhydroxide phases that were initially formed, later led to the formation of mixed uranyl-oxyhydroxide/silicates, which subsequently transformed into uranyl-silicates, and finally altered into mixed uranyl-silicate/phosphate and uranyl-phosphate phases. We conducted solubility studies of the identified final uranyl-phosphate phase (calcium meta-autunite) in phosphate solutions ranging in concentration from 0.001 - 0.1 M as a function of pH. These studies indicated a secondary phosphate phase that formed during the solubility of meta-autunite regulated the uranium concentrations at relatively low levels under high pH conditions (12) typically encountered in cement pore waters. The importance of uranyl-phosphate minerals in concrete waste forms has, to date, been neglected because of the minimal amount of phosphorus present in most concrete compositions. However, because concrete is a continuously reacting solid, the thermodynamic stability of uranyl minerals that form at the later stages of reaction may have a substantial impact on the long-term fate of uranium in the waste forms. This study suggests that any future investigations should consider the potential benefit of including phosphorus in concrete waste forms. AU - Mattigod, S. AU - Wellman, D. AU - Glovack, J. AU - Arey, B. AU - Wood, M. C3 - Actinides 2008 - Basic Science, Applications and Technology, 25-28 March 2008 DA - 2008 KW - calcium compounds concrete minerals radioactive chemical analysis radioactive waste solubility Solutions thermochemistry Uranium compounds Water PB - Materials Research Society PY - 2008 SP - 195-201 ST - Meta-autunite solubility as related to uranium minerals in concrete waste forms T3 - Actinides 2008 - Basic Science, Applications and Technology TI - Meta-autunite solubility as related to uranium minerals in concrete waste forms ID - 1409 ER - TY - JOUR AB - In this paper, we analyze the quality of several commercial tools for sentiment detection. All tools are tested on nearly 30,000 short texts from various sources, such as tweets, news, reviews etc. The best commercial tools have average accuracy of 60%. We then apply machine learning techniques (Random Forests) to combine all tools, and show that this results in a meta-classifier that improves the overall performance significantly. AU - Cieliebak, Mark AU - Duerr, Oliver AU - Uzdilli, Fatih DA - 2014 PY - 2014 SP - 3100-3104 ST - Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools T2 - Lrec 2014 - Ninth International Conference on Language Resources and Evaluation TI - Meta-Classifiers Easily Improve Commercial Sentiment Detection Tools ID - 2152 ER - TY - JOUR AB - Mining activities, particularly acidmine drainage, often result in adverse effects on stream diversity and ecosystem functioning, and increased concern about these effects has generated a focus on restoration of mine-impacted waterways. However, many stream restoration projects have not led to increased stream diversity and ecological recovery. One reason for this failure may be that restoration practitioners focus on local environmental conditions and fail to consider the importance of dispersal as a driver of stream invertebrate composition. To test this hypothesis, we used a meta-community analysis to compare the influence of the local stream conditions with the regional supply of colonists. Invertebrate communities and physico-chemical conditions were sampled in 37 streams across a mine-impact gradient on the Stockton Plateau, West Coast of New Zealand's South Island. We found that pH, temperature, dissolved metals, and sediment significantly influenced invertebrate community composition. Furthermore, the spatial location of streams was a good predictor of stream diversity and invertebrate communities, independent of local environmental conditions. This result indicates an important role for regional dispersal barriers in determining stream invertebrate communities. Consequently, consideration of both the locations and strategic preservation of future colonist source streams and potential dispersal barriers during mine planning would enhance post-mining restoration. AU - Kitto, Justin A. J. AU - Gray, Duncan P. AU - Greig, Hamish S. AU - Niyogi, Dev K. AU - Harding, Jon S. DA - 2015/05// DO - 10.1111/rec.12179 IS - 3 L1 - internal-pdf://2556582386/Kitto-2015-Meta-community theory and stream re.pdf PY - 2015 SN - 1061-2971 SP - 284-291 ST - Meta-community theory and stream restoration: evidence that spatial position constrains stream invertebrate communities in a mine impacted landscape T2 - Restoration Ecology TI - Meta-community theory and stream restoration: evidence that spatial position constrains stream invertebrate communities in a mine impacted landscape UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/rec.12179/asset/rec12179.pdf?v=1&t=itiupwvi&s=eb9d7f5f702cbc9570c3d7bb19e7042cf1c111e1 VL - 23 ID - 2090 ER - TY - CONF AB - The main purpose of this article is to present one the most important aspect of designed and implemented module for data distribution among intrancts' metadata databases. The article detailed presents algorithm that was use in the system. This algorithm was fully designed and implemented both to enable cohesion among the databases and to be completely independent from any events that could occur in the working system. 2002 Novosibirsk State Tech. Univ. AU - Orzechowski, T. C3 - 3rd Annual Siberian Russian Workshop on Electron Devices and Materials, EDM 2002, July 1, 2002 - July 5, 2002 DA - 2002 DO - 10.1109/SREDM.2002.1024376 KW - Algorithms Database systems Electron devices Glossaries Intelligent databases Metadata Mobile agents N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2002 SN - 18153712 SP - 21-24 ST - Meta-data distribution in intelligent databases system T3 - International Workshop and Tutorials on Electron Devices and Materials, EDM - Proceedings TI - Meta-data distribution in intelligent databases system UR - http://dx.doi.org/10.1109/SREDM.2002.1024376 VL - 2 ID - 1287 ER - TY - CONF AB - The project CARMEN1 (Content Analysis, Retrieval and Metadata: Effective Networking) aimed among other goals at improving the expansion of searches in bibliographic databases into Internet searches. We pursued a set of different approaches to the treatment of semantic heterogeneity (metadata extraction, query translation using statistic relations and crossconcordances). This paper describes the concepts and implementation of this approaches and the evaluation of the impact for the retrieval result. Springer-Verlag Berlin Heidelberg 2002. AU - Strotgen, Robert C3 - 6th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2002, September 16, 2002 - September 18, 2002 DA - 2002 KW - data mining Digital Libraries Extraction Information services Metadata Search Engines Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2002 SN - 03029743 SP - 362-373 ST - Meta-data extraction and query translation. Treatment of semantic heterogeneity T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Meta-data extraction and query translation. Treatment of semantic heterogeneity VL - 2458 ID - 1668 ER - TY - JOUR AB - Endometrial Cancer (EC) is one of the most common female cancers. Genome-wide association studies (GWAS) have been investigated to identify genetic polymorphisms that are predictive of EC risks. Here we utilized a meta-dimensional integrative approach to seek genetically susceptible pathways that may be associated with tumorigenesis and progression of EC. We analyzed GWAS data obtained from Connecticut Endometrial Cancer Study (CECS) and identified the top 20 EC susceptible pathways. To further verify the significance of top 20 EC susceptible pathways, we conducted pathway-level multi-omics analyses using EC exome-Seq, RNA-Seq and survival data, all based on The Cancer Genome Atlas (TCGA) samples. We measured the overall consistent rankings of these pathways in all four data types. Some well-studied pathways, such as p53 signaling and cell cycle pathways, show consistently high rankings across different analyses. Additionally, other cell signaling pathways (e.g. IGF-1/mTOR, rac-1 and IL-5 pathway), genetic information processing pathway (e.g. homologous recombination) and metabolism pathway (e.g. sphingolipid metabolism) are also highly associated with EC risks, diagnosis and prognosis. In conclusion, the meta-dimensional integration of EC cohorts has suggested some common pathways that may be associated from predisposition, tumorigenesis to progression. AU - Wei, Runmin AU - De Vivo, Immaculata AU - Huang, Sijia AU - Zhu, Xun AU - Risch, Harvey AU - Moore, Jason H. AU - Yu, Herbert AU - Garmire, Lana X. DA - 2016/07/09/ DO - 10.18632/oncotarget.10509 J2 - Oncotarget KW - data integration data mining endometrial cancer (EC) GWAS pathways LA - Eng PY - 2016 SN - 1949-2553 1949-2553 ST - Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancer T2 - Oncotarget TI - Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancer ID - 367 ER - TY - JOUR AB - Together in silico and genetic mining approaches have recently designated the CYP98 family of plant cytochromes P450 as the family of enzymes that catalyzes the meta-hydroxylation step in the phenylpropanoid pathway. This meta-hydroxylation is not catalyzed on the free p-coumaric acid as anticipated, but on its conjugates with shikimic, quinic, or phenyllactic acids. While all CYP98s have in common phenol meta-hydroxylase activity, p-coumaroylshikimate remains their preferred substrate. High expression of CYP98s is detected in lignifying tissues in stems, roots, and siliques. The CYP98A3 gene disruption in Arabidopsis thaliana leads to a drastic inhibition of lignin synthesis, cell growth, and plant development. The metahydroxylation of phenolic precursors is thus essential for higher plant development. Isolation of coding sequences belonging to the CYP98 family from basil, wheat, and extensive functional analysis of the recombinant enzymes, together with CYP98s from other plant taxa, helps shedding some light on mechanisms of P450s evolution. Most importantly, the occurrence of the meta-hydroxylation on esters of shikimic or quinic acids introduces a new biochemical regulation mechanism in the phenylpropanoid pathway. AU - Schoch, Guillaume A. AU - Morant, Marc AU - Abdulrazzak, Nawroz AU - Asnaghi, Carole AU - Goepfert, Simon AU - Petersen, Maike AU - Ullmann, Pascaline AU - Werck-Reichhart, Daniele DA - 2006/08// DO - 10.1007/s10311-006-0062-1 IS - 3 PY - 2006 SN - 1610-3653 SP - 127-136 ST - The meta-hydroxylation step in the phenylpropanoid pathway: a new level of complexity in the pathway and its regulation T2 - Environmental Chemistry Letters TI - The meta-hydroxylation step in the phenylpropanoid pathway: a new level of complexity in the pathway and its regulation VL - 4 ID - 2125 ER - TY - CONF AB - A recent trend in the exploitation of unstructured text content is the use of natural language question answering (NLQA) systems. NLQA is an elaboration of traditional information retrieval techniques for satisfying a users information needs, where the goal is not simply to retrieve relevant documents but to additionally extract specific passages and semantic entities from these documents as candidate answers to a natural language question. NLQA is thus a tight integration of natural language processing (NLP), information retrieval (IR) and information extraction (IE) designed to circumvent the deep and brittle analysis of questions in favor of shallow but robust comprehension, to ultimately achieve a broad domain question-answering competence. It is argued here that the key to achieving good quality answers in a high-throughput setting lies in a systems ability to construct rich queries that incorporate knowledge from multiple sources. Springer-Verlag Berlin Heidelberg 2002. AU - Veale, Tony C3 - 13th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2002, September 12, 2002 - September 13, 2002 DA - 2002 KW - artificial intelligence Computational linguistics information retrieval Natural language processing systems query processing Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2002 SN - 03029743 SP - 127-134 ST - Meta-knowledge annotation for efficient natural-language question-answering T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Meta-knowledge annotation for efficient natural-language question-answering VL - 2464 ID - 1231 ER - TY - JOUR AB - Causality lies at the heart of biomedical knowledge, being involved in diagnosis, pathology or systems biology. Thus, automatic causality recognition can greatly reduce the human workload by suggesting possible causal connections and aiding in the curation of pathway models. For this, we rely on corpora that are annotated with classified, structured representations of important facts and findings contained within text. However, it is impossible to correctly interpret these annotations without additional information, e.g., classification of an event as fact, hypothesis, experimental result or analysis of results, confidence of authors about the validity of their analyses etc. In this study, we analyse and automatically detect this type of information, collectively termed meta-knowledge (MK), in the context of existing discourse causality annotations. AU - Mihaila, Claudiu AU - Ananiadou, Sophia DA - 2014 PY - 2014 SP - 1984-1991 ST - The Meta-knowledge of Causality in Biomedical Scientific Discourse T2 - Lrec 2014 - Ninth International Conference on Language Resources and Evaluation TI - The Meta-knowledge of Causality in Biomedical Scientific Discourse ID - 2050 ER - TY - CONF AB - The adoption of business intelligence technology in industries is growing rapidly. Business managers are not satisfied with ad hoc and static reports and they ask for more flexible and easy to use data analysis tools. Recently, application interfaces that expand the range of operations available to the user, hiding the underlying complexity, have been developed. The paper presents eLog, a business intelligence solution designed and developed in collaboration between the database group of the University of Modena and Reggio Emilia and eBilling, an Italian SME supplier of solutions for the design, production and automation of documentary processes for top Italian companies. eLog enables business managers to define OLAP reports by means of a web interface and to customize analysis indicators adopting a simple meta-language. The framework translates the user's reports into MDX queries and is able to automatically select the data cube suitable for each query. Over 140 medium and large companies have exploited the technological services of eBilling S.p.A. to manage their documents flows. In particular, eLog services have been used by the major media and telecommunications Italian companies and their foreign annex, such as Sky, Media set, H3G, Tim Brazil etc. The largest customer can provide up to 30 millions mail pieces within 6 months (about 200 GB of data in the relational DBMS). In a period of 18 months, eLog could reach 150 millions mail pieces (1 TB of data) to handle. AU - Bergamaschi, S. AU - Interlandidi, M. AU - Longo, M. AU - Po, L. AU - Vincini, M. C3 - 2012 IEEE 28th International Conference on Data Engineering (ICDE 2012), 1-5 April 2012 DA - 2012 DO - 10.1109/ICDE.2012.100 KW - business data processing Competitive intelligence data analysis data mining Query languages relational databases PB - IEEE Computer Society PY - 2012 SP - 1417-28 ST - A Meta-language for MDX Queries in eLog Business Solution T3 - 2012 IEEE 28th International Conference on Data Engineering (ICDE 2012) TI - A Meta-language for MDX Queries in eLog Business Solution UR - http://dx.doi.org/10.1109/ICDE.2012.100 ID - 1639 ER - TY - JOUR AB - A meta-learning approach to stream data analysis is presented in this work. The analysis is based on prediction of methane concentration in a coal mine. The results of the analysis show that the chosen approach achieves relatively low error values. Additionally, the impact of a data window size on a learning speed and quality was verified. The analysis is performed on a stream of measurements that was generated on a basis of real values collected in a coal mine. Springer International Publishing Switzerland 2016. AU - Kozielski, Michal DA - 2016 DO - 10.1007/978-3-319-34099-9_56 J2 - Communications in Computer and Information Science KW - Coal mines data handling data mining Forecasting Information analysis Methanation Methane N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 18650929 SP - 716-726 ST - A meta-learning approach to methane concentration value prediction T2 - 12th International Conference on Beyond Databases, Architectures and Structures, BDAS 2016, May 31, 2016 - June 3, 2016 TI - A meta-learning approach to methane concentration value prediction UR - http://dx.doi.org/10.1007/978-3-319-34099-9_56 http://link.springer.com/chapter/10.1007%2F978-3-319-34099-9_56 VL - 613 ID - 1604 ER - TY - CONF AB - One of the most challenging tasks in the knowledge discovery process is the selection of the best classification algorithm for a data set at hand. Thus, tools which help practitioners to choose the best classifier along with its parameter setting are highly demanded. These will not only be useful for trainees but also for the automation of the data mining process. Our approach is based on meta-learning, which relies on the application of learning algorithms on meta-data extracted from data mining experiments in order to better understand how these algorithms can become flexible in solving different kinds of learning problems. This paper presents a framework which allows novices to create and feed their own experiment database and later, analyse and select the best technique for their target data set. As case study, we evaluate different sets of meta-features on educational data sets and discuss which ones are more suitable for predicting student performance. Springer International Publishing Switzerland 2015. AU - Zorrilla, Marta AU - Garcia-Saiz, Diego C3 - 7th International Conference on Computational Collective Intelligence, ICCCI 2015, September 21, 2015 - September 23, 2015 DA - 2015 DO - 10.1007/978-3-319-24306-1_42 KW - Algorithms Classification (of information) data mining Learning algorithms Students N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 431-440 ST - Meta-learning based framework for helping non-expert miners to choice a suitable classification algorithm: An application for the educational field T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Meta-learning based framework for helping non-expert miners to choice a suitable classification algorithm: An application for the educational field UR - http://dx.doi.org/10.1007/978-3-319-24306-1_42 VL - 9330 ID - 1549 ER - TY - JOUR AB - This paper describes a meta-learner inference system development framework which is applied and tested in the implementation of bioinformatic inference systems. These inference systems are used for the systematic classification of the best candidates for inclusion in bacterial metabolic pathway maps. This meta-learner-based approach utilises a workflow where the user provides feedback with final classification decisions which are stored in conjunction with analysed genetic sequences for periodic inference system training. The inference systems were trained and tested with three different data sets related to the bacterial degradation of aromatic compounds. The analysis of the meta-learner-based framework involved contrasting several different optimisation methods with various different parameters. The obtained inference systems were also contrasted with other standard classification methods with accurate prediction capabilities observed. AU - Arredondo, T. AU - Ormazabal, W. DA - 2015 DO - 10.1504/IJDMB.2015.066775 IS - 2 J2 - International Journal of Data Mining and Bioinformatics KW - bioinformatics Genetics inference mechanisms learning (artificial intelligence) molecular biophysics pattern classification PY - 2015 SN - 1748-5673 SP - 139-66 ST - Meta-learning framework applied in bioinformatics inference system design T2 - International Journal of Data Mining and Bioinformatics TI - Meta-learning framework applied in bioinformatics inference system design UR - http://inderscience.metapress.com/link.asp?target=contribution&id=H6854K5558W33485 http://dx.doi.org/10.1504/IJDMB.2015.066775 VL - 11 ID - 1847 ER - TY - CHAP A2 - Rutkowski, L. A2 - Tadeusiewicz, R. A2 - Zadeh, L. A. A2 - Zurada, J. M. AB - We present a novel approach to meta-learning, which is not just a ranking of methods, not just a strategy for building model committees, but an algorithm performing a search similar to what human experts do when analyzing data, solving full scope of data mining problems. The search through the space of possible solutions is driven by special mechanisms of machine generators based on meta-schemes. The approach facilitates using human experts knowledge to restrict the search space and gaining meta-knowledge in an automated manner. The conclusions help in further search and may also be passed to other metalearners. All the functionality is included in our new general architecture for data mining, especially eligible for meta-learning tasks. AU - Grabczewski, Krzysztof AU - Jankowski, Norbert PY - 2008 SN - 978-3-540-69572-1 SP - 545-555 ST - Meta-learning with machine generators and complexity controlled exploration T2 - Artificial Intelligence and Soft Computing - Icaisc 2008, Proceedings TI - Meta-learning with machine generators and complexity controlled exploration VL - 5097 ID - 2083 ER - TY - CONF AB - This paper presents a novel approach for meta-level information extraction (IE). The common IE process model is extended by utilizing transfer knowledge and meta-features that are created according to already extracted information. We present two real-world case studies demonstrating the applicability and benefit of the approach and directly show how the proposed method improves the accuracy of the applied information extraction technique. 2009 Springer Berlin Heidelberg. AU - Kluegl, Peter AU - Atzmueller, Martin AU - Puppe, Frank C3 - 32nd Annual German Conference on Artificial Intelligence, KI 2009, September 15, 2009 - September 18, 2009 DA - 2009 DO - 10.1007/978-3-642-04617-9_30 KW - artificial intelligence Information analysis Potassium iodide N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2009 SN - 03029743 SP - 233-240 ST - Meta-level information extraction T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Meta-level information extraction UR - http://dx.doi.org/10.1007/978-3-642-04617-9_30 VL - 5803 LNAI ID - 1772 ER - TY - JOUR AB - AbstractPeople react to events, topics and entities by expressing their personal opinions and emotions. These reactions can correspond to a wide range of intensities, from very mild to strong. An adequate processing and understanding of these expressions has been the subject of research in several fields, such as business and politics. In this context, Twitter sentiment analysis, which is the task of automatically identifying and extracting subjective information from tweets, has received increasing attention from the Web mining community. Twitter provides an extremely valuable insight into human opinions, as well as new challenging Big Data problems. These problems include the processing of massive volumes of streaming data, as well as the automatic identification of human expressiveness within short text messages. In that area, several methods and lexical resources have been proposed in order to extract sentiment indicators from natural language texts at both syntactic and semantic levels. These approaches address different dimensions of opinions, such as subjectivity, polarity, intensity and emotion. This article is the first study of how these resources, which are focused on different sentiment scopes, complement each other. With this purpose we identify scenarios in which some of these resources are more useful than others. Furthermore, we propose a novel approach for sentiment classification based on meta-level features. This supervised approach boosts existing sentiment classification of subjectivity and polarity detection on Twitter. Our results show that the combination of meta-level features provides significant improvements in performance. However, we observe that there are important differences that rely on the type of lexical resource, the dataset used to build the model, and the learning strategy. Experimental results indicate that manually generated lexicons are focused on emotional words, being very useful for polarity prediction. On the other hand, lexicons generated with automatic methods include neutral words, introducing noise in the detection of subjectivity. Our findings indicate that polarity and subjectivity prediction are different dimensions of the same problem, but they need to be addressed using different subspace features. Lexicon-based approaches are recommendable for polarity, and stylistic part-of-speech based approaches are meaningful for subjectivity. With this research we offer a more global insight of the resource components for the complex task of classifying human emotion and opinion. 2014 Elsevier B.V. All rights reserved. AU - Bravo-Marquez, Felipe AU - Mendoza, Marcelo AU - Poblete, Barbara DA - 2014 DO - 10.1016/j.knosys.2014.05.016 J2 - Knowledge-Based Systems KW - automation Big data Classification (of information) data mining Natural language processing systems Semantics Social networking (online) L1 - internal-pdf://1242608872/Bravo-Marquez-2014-Meta-level sentiment models.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 09507051 SP - 86-99 ST - Meta-level sentiment models for big social data analysis T2 - Knowledge-Based Systems TI - Meta-level sentiment models for big social data analysis UR - http://dx.doi.org/10.1016/j.knosys.2014.05.016 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0950705114002068/1-s2.0-S0950705114002068-main.pdf?_tid=a61138b2-832e-11e6-b1d5-00000aacb35e&acdnat=1474814886_73e785a6b9b4882295713ee55e3ce4a7 VL - 69 ID - 1724 ER - TY - JOUR AB - PURPOSE: Neuroblastoma is a heterogeneous childhood tumor with poor survival outcome for the aggressive type despite intensive multimodal therapies. In this study, we aimed to identify new treatment options for neuroblastoma based on integrative genomic analysis. EXPERIMENTAL DESIGN: The Connectivity Map is a database comprising expression profiles in response to known therapeutic compounds. This renders it a useful tool in the search for potential therapeutic compounds based on comparison of gene expression profiles of diseased cells and a database of profiles in response to known therapeutic compounds. We have used this strategy in the search for new therapeutic molecules for neuroblastoma based on data of an integrative meta-analysis of gene copy number and expression profiles from 146 primary neuroblastoma tumors and normal fetal neuroblasts. RESULTS: In a first step, a 132-gene classifier was established that discriminates three major genomic neuroblastoma subgroups, reflecting inherent differences in gene expression between these subgroups. Subsequently, we screened the Connectivity Map database using gene lists generated by comparing expression profiles of fetal adrenal neuroblasts and the genomic subgroups of neuroblastomas. A putative therapeutic effect was predicted for several compounds of which six were empirically tested. A significant reduction in cell viability was shown for five of these molecules: 17-allylamino-geldanamycin, monorden, fluphenazine, trichostatin, and rapamycin. CONCLUSIONS: This proof-of-principle study indicates that an integrative genomic meta-analysis approach with inclusion of neuroblast data enables the identification of promising compounds for treatment of children with neuroblastoma. Further studies are warranted to explore in detail the therapeutic potential of these compounds. AU - De Preter, Katleen AU - De Brouwer, Sara AU - Van Maerken, Tom AU - Pattyn, Filip AU - Schramm, Alexander AU - Eggert, Angelika AU - Vandesompele, Jo AU - Speleman, Frank DA - 2009/06/01/ DO - 10.1158/1078-0432.CCR-08-2699 IS - 11 J2 - Clin Cancer Res KW - *Meta-Analysis as Topic Antineoplastic Agents/*pharmacology Cell Line, Tumor Cell Survival/drug effects Gene Expression Profiling/classification/*statistics & numerical data Genomics/methods Humans Neuroblastoma/classification/*genetics/pathology Neurons/metabolism L1 - internal-pdf://4254398301/De Preter-2009-Meta-mining of neuroblastoma an.pdf LA - eng PY - 2009 SN - 1078-0432 1078-0432 SP - 3690-3696 ST - Meta-mining of neuroblastoma and neuroblast gene expression profiles reveals candidate therapeutic compounds T2 - Clinical cancer research : an official journal of the American Association for Cancer Research TI - Meta-mining of neuroblastoma and neuroblast gene expression profiles reveals candidate therapeutic compounds UR - http://clincancerres.aacrjournals.org/content/clincanres/15/11/3690.full.pdf VL - 15 ID - 101 ER - TY - CONF AB - The use of general purpose modeling languages (GPMLs) in specifying software applications has given way to the use of domain-specific modeling languages (DSMLs). DSMLs offer a vocabulary of terms and concepts that are fundamental to the problem and solution domains, whereas GPMLs constructs are usually too generic to be directly applied in some domains. Many DSMLs are high-level textual programming languages, which offered little support for modeling at the analysis, and design phases of application development. The objective of this work is to develop semi-formal graphical DSMLs, which are to be used at the analysis and design stages of application development. The benefits derived from such DSML are reuse of domain artifacts; reduction in delivering completed products; rigorous analysis of domain applications; and more maintainable applications. AU - Grant, Emanuel S. C3 - 2012 International MultiConference of Engineers and Computer Scientists, IMECS 2012, March 14, 2012 - March 16, 2012 DA - 2012 KW - Computer Science High level languages Specification languages N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Newswood Limited PY - 2012 SN - 20780958 SP - 780-785 ST - A meta-model approach to defining UML-based domain-specific modeling language T3 - Lecture Notes in Engineering and Computer Science TI - A meta-model approach to defining UML-based domain-specific modeling language VL - 2195 ID - 1594 ER - TY - JOUR AB - Information networks that can be extracted from many domains are widely studied recently. Different functions for mining these networks are proposed and developed, such as ranking, community detection, and link prediction. Most existing network studies are on homogeneous networks, where nodes and links are assumed from one single type. In reality, however, heterogeneous information networks can better model the real-world systems, which are typically semi-structured and typed, following a network schema. In order to mine these heterogeneous information networks directly, we propose to explore the meta structure of the information network, i.e., the network schema. The concepts of meta-paths are proposed to systematically capture numerous semantic relationships across multiple types of objects, which are defined as a path over the graph of network schema. Meta-paths can provide guidance for search and mining of the network and help analyze and understand the semantic meaning of the objects and relations in the network. Under this framework, similarity search and other mining tasks such as relationship prediction and clustering can be addressed by systematic exploration of the network meta structure. Moreover, with user's guidance or feedback, we can select the best meta-path or their weighted combination for a specific mining task. AU - Sun, Yizhou AU - Han, Jiawei DA - 2013/08// IS - 4 PY - 2013 SN - 1007-0214 SP - 329-338 ST - Meta-Path-Based Search and Mining in Heterogeneous Information Networks T2 - Tsinghua Science and Technology TI - Meta-Path-Based Search and Mining in Heterogeneous Information Networks VL - 18 ID - 2160 ER - TY - JOUR AB - The authors propose a meta-pattern guided method for discovering multiple-level association rules with a top-down and progressively deepening style by integration the pattern-guided and multiple-level association rule mining techniques. A meta pattern is a rule template which predefines the form of the rules to be discovered, and can be used as guidance in the data mining process. AU - Ou-Yang, Weimin AU - Cai, Qingsheng DA - 1997/12// IS - 12 J2 - Journal of Software KW - data analysis Pattern recognition very large databases PY - 1997 SN - 1000-9825 SP - 920-7 ST - Meta-pattern guided discovery of multiple-level association rule in large databases T2 - Journal of Software TI - Meta-pattern guided discovery of multiple-level association rule in large databases VL - 8 ID - 1759 ER - TY - JOUR AB - Meta-synthesis knowledge system (MSKS) is based on the meta-synthesis system approach and knowledge science. This article introduces the basic theory of meta-synthesis knowledge system like DMTMC system, model integration, opinion synthesis, consensus building and expert mining. Similar MSKS systems are illustrated. Case studies and examples are also explored in this article. AU - Gu, Jifa DA - 2010/01// DO - 10.4018/jkss.2010010105 IS - 1 J2 - International Journal of Knowledge and Systems Science KW - Knowledge based systems PY - 2010 SN - 1947-8208 SP - 58-72 ST - Meta-Synthesis Knowledge System: Basics and Practice T2 - International Journal of Knowledge and Systems Science TI - Meta-Synthesis Knowledge System: Basics and Practice UR - http://dx.doi.org/10.4018/jkss.2010010105 http://www.igi-global.com/article/meta-synthesis-knowledge-system/41733 VL - 1 ID - 1819 ER - TY - JOUR AB - To deal with complicated decision-making problems which were difficult to be solved through current rule decision-making methods and system engineering methods, the Meta-synthetic Decision Support System (MS-DSS) was proposed. By analyzing characteristics and existing problems in current DSS, the requirements of MSDSS were put forward firstly according to the meta-synthetic process for complicated decision-making. Furthermore, the architecture of MSDSS catering to requirements based on Browser/Server was established; the components and functions of the system were discussed. And the key technologies piloting the implementation of the system such as model synthesizing, simulation synthesizing, information synthesizing, comments synthesizing and knowledge synthesizing were studied in detail. At last, an application example of prototype MSDSS oriented to proof of weapon and equipment was provided. AU - Han, Xiang-Lan AU - Wu, Hui-Zhong AU - Dou, Wan-Chun AU - Chen, Sheng-Lei DA - 2005 IS - 1 J2 - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS KW - Computer Simulation data mining Data warehouses Decision support systems Information analysis Multi agent systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2005 SN - 10065911 SP - 109-115 ST - Meta-synthetic decision support system for solution to complicated problem T2 - Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS TI - Meta-synthetic decision support system for solution to complicated problem VL - 11 ID - 1826 ER - TY - JOUR AB - Physicians and health care organizations always collect large amounts of data during patient care. These large and high-dimensional datasets are usually characterized by an inherent sparseness. Hence, analyzing these datasets to figure out interesting and hidden knowledge is a challenging task. This article proposes a new data mining framework based on generalized association rules to discover multiple-level correlations among patient data. Specifically, correlations among prescribed examinations, drugs, and patient profiles are discovered and analyzed at different abstraction levels. The rule extraction process is driven by a taxonomy to generalize examinations and drugs into their corresponding categories. To ease the manual inspection of the result, a worthwhile subset of rules (i.e., nonredundant generalized rules) is considered. Furthermore, rules are classified according to the involved data features (medical treatments or patient profiles) and then explored in a top-down fashion: from the small subset of high-level rules, a drill-down is performed to target more specific rules. The experiments, performed on a real diabetic patient dataset, demonstrate the effectiveness of the proposed approach in discovering interesting rule groups at different abstraction levels. AU - Antonelli, Dario AU - Baralis, Elena AU - Bruno, Giulia AU - Cagliero, Luca AU - Cerquitelli, Tania AU - Chiusano, Silvia AU - Garza, Paolo AU - Mahoto, Naeem A. DA - 2015/08// DO - 10.1145/2700479 IS - 4 PY - 2015 SN - 2157-6904 SP - 57 ST - MeTA: Characterization of Medical Treatments at Different Abstraction Levels T2 - Acm Transactions on Intelligent Systems and Technology TI - MeTA: Characterization of Medical Treatments at Different Abstraction Levels UR - http://dl.acm.org/citation.cfm?doid=2801030.2700479 VL - 6 ID - 1988 ER - TY - JOUR AB - By their metabolic activities, microorganisms have a crucial role in the biogeochemical cycles of elements. The complete understanding of these processes requires, however, the deciphering of both the structure and the function, including synecologic interactions, of microbial communities. Using a metagenomic approach, we demonstrated here that an acid mine drainage highly contaminated with arsenic is dominated by seven bacterial strains whose genomes were reconstructed. Five of them represent yet uncultivated bacteria and include two strains belonging to a novel bacterial phylum present in some similar ecosystems, and which was named 'Candidatus Fodinabacter communificans.' Metaproteomic data unravelled several microbial capabilities expressed in situ, such as iron, sulfur and arsenic oxidation that are key mechanisms in biomineralization, or organic nutrient, amino acid and vitamin metabolism involved in synthrophic associations. A statistical analysis of genomic and proteomic data and reverse transcriptase-PCR experiments allowed us to build an integrated model of the metabolic interactions that may be of prime importance in the natural attenuation of such anthropized ecosystems. The ISME Journal (2011) 5, 1735-1747; doi: 10.1038/ismej.2011.51; published online 12 May 2011 AU - Bertin, Philippe N. AU - Heinrich-Salmeron, Audrey AU - Pelletier, Eric AU - Goulhen-Chollet, Florence AU - Arsene-Ploetze, Florence AU - Gallien, Sebastien AU - Lauga, Beatrice AU - Casiot, Corinne AU - Calteau, Alexandra AU - Vallenet, David AU - Bonnefoy, Violaine AU - Bruneel, Odile AU - Chane-Woon-Ming, Beatrice AU - Cleiss-Arnold, Jessica AU - Duran, Robert AU - Elbaz-Poulichet, Francoise AU - Fonknechten, Nuria AU - Giloteaux, Ludovic AU - Halter, David AU - Koechler, Sandrine AU - Marchal, Marie AU - Mornico, Damien AU - Schaeffer, Christine AU - Smith, Adam Alexander Thil AU - Van Dorsselaer, Alain AU - Weissenbach, Jean AU - Medigue, Claudine AU - Le Paslier, Denis DA - 2011/11// DO - 10.1038/ismej.2011.51 IS - 11 L1 - internal-pdf://1704365084/Bertin-2011-Metabolic diversity among main mic.pdf PY - 2011 SN - 1751-7362 SP - 1735-1747 ST - Metabolic diversity among main microorganisms inside an arsenic-rich ecosystem revealed by meta- and proteo-genomics T2 - Isme Journal TI - Metabolic diversity among main microorganisms inside an arsenic-rich ecosystem revealed by meta- and proteo-genomics UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3197163/pdf/ismej201151a.pdf VL - 5 ID - 2113 ER - TY - JOUR AB - BACKGROUND: Standardization of analytical approaches and reporting methods via community-wide collaboration can work synergistically with web-tool development to result in rapid community-driven expansion of online data repositories suitable for data mining and meta-analysis. In metabolomics, the inter-laboratory reproducibility of gas-chromatography/mass-spectrometry (GC/MS) makes it an obvious target for such development. While a number of web-tools offer access to datasets and/or tools for raw data processing and statistical analysis, none of these systems are currently set up to act as a public repository by easily accepting, processing and presenting publicly submitted GC/MS metabolomics datasets for public re-analysis. DESCRIPTION: Here, we present MetabolomeExpress, a new File Transfer Protocol (FTP) server and web-tool for the online storage, processing, visualisation and statistical re-analysis of publicly submitted GC/MS metabolomics datasets. Users may search a quality-controlled database of metabolite response statistics from publicly submitted datasets by a number of parameters (eg. metabolite, species, organ/biofluid etc.). Users may also perform meta-analysis comparisons of multiple independent experiments or re-analyse public primary datasets via user-friendly tools for t-test, principal components analysis, hierarchical cluster analysis and correlation analysis. They may interact with chromatograms, mass spectra and peak detection results via an integrated raw data viewer. Researchers who register for a free account may upload (via FTP) their own data to the server for online processing via a novel raw data processing pipeline. CONCLUSIONS: MetabolomeExpress https://www.metabolome-express.org provides a new opportunity for the general metabolomics community to transparently present online the raw and processed GC/MS data underlying their metabolomics publications. Transparent sharing of these data will allow researchers to assess data quality and draw their own insights from published metabolomics datasets. AU - Carroll, Adam J. AU - Badger, Murray R. AU - Harvey Millar, A. DA - 2010 DO - 10.1186/1471-2105-11-376 J2 - BMC Bioinformatics KW - *Gas Chromatography-Mass Spectrometry Cluster Analysis Information Dissemination Internet Metabolomics/*methods L1 - internal-pdf://1402961682/Carroll-2010-The MetabolomeExpress Project_ en.pdf LA - eng PY - 2010 SN - 1471-2105 1471-2105 SP - 376 ST - The MetabolomeExpress Project: enabling web-based processing, analysis and transparent dissemination of GC/MS metabolomics datasets T2 - BMC bioinformatics TI - The MetabolomeExpress Project: enabling web-based processing, analysis and transparent dissemination of GC/MS metabolomics datasets UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2912306/pdf/1471-2105-11-376.pdf VL - 11 ID - 256 ER - TY - JOUR AB - Background: Standardization of analytical approaches and reporting methods via community-wide collaboration can work synergistically with web-tool development to result in rapid community-driven expansion of online data repositories suitable for data mining and meta-analysis. In metabolomics, the inter-laboratory reproducibility of gas-chromatography/mass-spectrometry (GC/MS) makes it an obvious target for such development. While a number of web-tools offer access to datasets and/or tools for raw data processing and statistical analysis, none of these systems are currently set up to act as a public repository by easily accepting, processing and presenting publicly submitted GC/MS metabolomics datasets for public re-analysis. Description: Here, we present MetabolomeExpress, a new File Transfer Protocol (FTP) server and web-tool for the online storage, processing, visualisation and statistical re-analysis of publicly submitted GC/MS metabolomics datasets. Users may search a quality-controlled database of metabolite response statistics from publicly submitted datasets by a number of parameters (eg. metabolite, species, organ/biofluid etc.). Users may also perform meta-analysis comparisons of multiple independent experiments or re-analyse public primary datasets via user-friendly tools for t-test, principal components analysis, hierarchical cluster analysis and correlation analysis. They may interact with chromatograms, mass spectra and peak detection results via an integrated raw data viewer. Researchers who register for a free account may upload (via FTP) their own data to the server for online processing via a novel raw data processing pipeline. Conclusions: MetabolomeExpress https://www.metabolome-express.org provides a new opportunity for the general metabolomics community to transparently present online the raw and processed GC/MS data underlying their metabolomics publications. Transparent sharing of these data will allow researchers to assess data quality and draw their own insights from published metabolomics datasets. AU - Carroll, Adam J. AU - Badger, Murray R. AU - Millar, A. Harvey DA - 2010/07/14/ DO - 10.1186/1471-2105-11-376 L1 - internal-pdf://4089174008/Carroll-2010-The MetabolomeExpress Project_ en.pdf PY - 2010 SN - 1471-2105 SP - 376 ST - The MetabolomeExpress Project: enabling web-based processing, analysis and transparent dissemination of GC/MS metabolomics datasets T2 - Bmc Bioinformatics TI - The MetabolomeExpress Project: enabling web-based processing, analysis and transparent dissemination of GC/MS metabolomics datasets UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2912306/pdf/1471-2105-11-376.pdf VL - 11 ID - 1955 ER - TY - JOUR AB - The role of metacognitive skills in the evidence analysis process has received little attention in the research literature. While the steps of the evidence analysis process are well defined, the role of higher-level cognitive operations (metacognitive strategies) in integrating the steps of the process is not well understood. In part, this is because it is not clear where and how metacognition is implicated in the evidence analysis process nor how these skills might be taught. The purposes of this paper are to (a) suggest a model for identifying critical thinking and metacognitive skills in evidence analysis instruction grounded in current educational theory and research and (b) demonstrate how freely available systematic review/meta-analysis tools can be used to focus on higher-order metacognitive skills, while providing a framework for addressing common student weaknesses. The final goal of this paper is to provide an instructional framework that can generate critique and elaboration while providing the conceptual basis and rationale for future research agendas on this topic. AU - Parrott, J. Scott AU - Rubinstein, Matthew L. DA - 2015 DO - 10.1186/s13643-015-0101-8 J2 - Syst Rev KW - *Data Mining *Metacognition *Models, Educational *Thinking Humans Meta-Analysis as Topic Models, Biological Research/*education Review Literature as Topic Statistics as Topic/*education Teaching/*methods LA - eng PY - 2015 SN - 2046-4053 2046-4053 SP - 112 ST - Metacognition and evidence analysis instruction: an educational framework and practical experience T2 - Systematic reviews TI - Metacognition and evidence analysis instruction: an educational framework and practical experience VL - 4 ID - 8 ER - TY - CONF AB - The goal of the diagnostic maturation process is to minimize system life cycle cost; once a diagnostic design has been deployed and begun operation it must be monitored for correctness and effectiveness within the context of its operational environment. The product data that is typically required for maturation analysis is generally stored in disparate heterogeneous data systems - this makes access, retrieval, and integration of the requisite information a costly and often incomplete process. A key issue when accessing heterogeneous information sources is how to bridge the differences in conceptual vocabulary that exist. This suggests a degree of semantic integration is required that allows the extraction and combination of information provided by the data sources. The approach should also provide a means to support the fusion of the information obtained from those sources with the knowledge of the system design and diagnostic engineers. This paper describes a metadata architecture that (1) supports mediated semantic integration of heterogeneous product data systems and (2) enables development of knowledge representations to support development of analytical maturation applications. The resulting synthesis of logical and ontological principles provides a strong basis for effective computational support for maturation application development. AU - Wilmering, T. J. AU - Jun, Yuan AU - VanRossum, D. C3 - AUTOTESTCON 2003. Proceedings. IEEE Systems Readiness Technology Conference, 22-25 Sept. 2003 DA - 2003 KW - Data warehouses meta data semantic networks vocabulary N1 -Also available on CD-ROM in PDF format
PB - IEEE PY - 2003 SP - 564-75 ST - A metadata architecture for mediated integration of product usage data [diagnostic maturation analysis] T3 - AUTOTESTCON 2003. Proceedings. IEEE Systems Readiness Technology Conference. Future Sustainment for Military and Aerospace (Cat. No.03CH37447) TI - A metadata architecture for mediated integration of product usage data [diagnostic maturation analysis] ID - 1461 ER - TY - JOUR AB - Bioinformatics emerged as a new discipline dedicated to the answer the queries about life science using computational approaches. The basic aim of bioinformatics is to create databases, analyse data sets and managing data generated through large-scale projects such as Human Genome project (HGP). It covers a wide variety of traditional computer science domains, such as data modeling, data retrieval, data mining, data integration, data managing, data warehousing, and simulation of biological information generated through laboratory and field experiments. Due to varied form, nature, and activities in the field of bioinformatics, presenting the information in cohesive fashion is major challenge. The bioinformatics information resources are heterogeneous in nature. Integration and interoperability of information is one of the biggest challenges in this field. Bioinformatics, as an emerging field, needs attention towards metadata application for resource discovery. This paper discusses the metadata element set description framework for integration of various information resources related to the field of bioinformatics available over internet. A web-based tool iBIRA: Integrated Bioinformatics Information Resources Access has been designed and developed for integration of bioinformatics information resources. Dublin Core metadata element set has been used for description of information resources and XML schema has been used for interoperability of information resources with others. A database has been designed using structure query language (SQL)-database management system and hypertext preprocessor (PHP)-as web programming languages for integration of bioinformatics resources. The database is designated to categorise various resources into biological database, institutions, journals, patents, software tools, web-servers, etc., and the search result is presented in the form of `tree view'. Each of these categories of the resources has been analysed for their metadata element set as per the DCMI terms. AU - Ram, S. AU - Rao, N. L. DA - 2014/09// IS - 5 J2 - DESIDOC Journal of Library & Information Technology KW - bioinformatics data integration Electronic publishing Information Resources information retrieval Internet meta data open systems patents SQL XML PY - 2014 SN - 0974-0643 SP - 384-92 ST - Metadata Description Framework for Integration of Bioinformatics Information Resources: A Case of iBIRA T2 - DESIDOC Journal of Library & Information Technology TI - Metadata Description Framework for Integration of Bioinformatics Information Resources: A Case of iBIRA VL - 34 ID - 880 ER - TY - CONF AB - This paper focuses on using layout-based techniques to automatically extract metadata when scanning office documents to an archive. Many office documents such as letters, inter-office memos, and invoices contain key information that is spatially arranged. Information arrayed in this manner is easy for a reader to identify and understand. However, location of information within office documents varies greatly between documents, unlike forms where layout is static. This poses a challenge for layout based metadata extraction techniques. Our system uses regular expression matching and stochastic grammars on lines of text to efficiently and accurately label text according to function, enabling archived documents to be precisely retrieved. AU - Stumbo, W. K. AU - Handley, J. C. C3 - Archiving 2005. Final Program and Proceedings, 26-29 April 2005 DA - 2005 KW - document image processing formal languages grammars information retrieval information retrieval systems meta data office environment text analysis PB - IS&T: Society for Imaging Science and Technology PY - 2005 SP - 184-7 ST - Metadata extraction from office documents T3 - Archiving 2005. Final Program and Proceedings TI - Metadata extraction from office documents ID - 744 ER - TY - CONF AB - Large scale digitization projects have been conducted at digital libraries to preserve cultural artifacts and to provide permanent access. The increasing amount of digitized resources, including scanned books and scientific publications, requires development of tools and methods that will efficiently analyze and manage large collections of digitized resources. In this work, we tackle the problem of extracting metadata from scanned volumes of journals. Our goal is to extract information describing internal structures and content of scanned volumes, which is necessary for providing effective content access functionalities to digital library users. We propose methods for automatically generating volume level, issue level, and article level metadata based on format and text features extracted from OCRed text. We show the performance of our system on scanned bound historical documents nearly two centuries old. We have developed the system and integrated it into an operational digital library, the Internet archive, for real-world usage. AU - Xiaonan, Lu AU - Kahle, B. AU - Wang, J. Z. AU - Giles, C. L. C3 - Joint Conference on Digital Libraries (JCDL 2008), 15-19 June 2008 DA - 2008 KW - Digital Libraries Electronic publishing information retrieval Internet library automation meta data scientific information systems text analysis PB - ACM PY - 2008 SP - 235-44 ST - A metadata generation system for scanned scientific volumes T3 - Joint Conference on Digital Libraries (JCDL 2008) TI - A metadata generation system for scanned scientific volumes ID - 747 ER - TY - CONF AB - Managing a large number of heterogeneous information sources and repositories, including databases, knowledge bases, file systems, digital library is a general problem faced by many organizations today. In this context, forest Web data sources provide complex query and analysis capabilities such as sequence similarity search engines that need to be integrated as well as the data. In this paper we introduce a framework to provide abilities for accessing and managing, in a metadata integrated manner, multiple forest information resources. Afterwards, the MIFOR (metadata integration for managing forest information resources) prototype is studied and developed as a resource discovery tool to map, convert and harvest metadata from structured and semistructured sources. AU - Nguyen, T. B. AU - Ibrahim, M. T. C3 - Proceedings. 15th International Workshop on Database and Expert Systems Applications, 30 Aug.-3 Sept. 2004 DA - 2004 KW - data mining Forestry Geographic information systems Internet meta data open systems query processing Search Engines PB - IEEE Comput. Soc. PY - 2004 SP - 586-91 ST - Metadata integration framework for managing forest heterogeneous information resources T3 - Proceedings. 15th International Workshop on Database and Expert Systems Applications TI - Metadata integration framework for managing forest heterogeneous information resources ID - 1030 ER - TY - CONF AB - Given the large heterogeneity of the World Wide Web, using metadata on the search engines side seems to be a useful track for information retrieval. Though, because a manual qualification at the Web scale is not accessible, this track is little followed. We propose a semi-automatic method for propagating metadata. In a first step, homogeneous corpus are extracted. We used in our study the following properties: the authority type, the site type, the information type, and the page type. This first step is realized by a clusterization which uses a similarity measure based on the co-citation frequency between pages. Given the cluster hierarchy, the second step selects a reduced number of documents to be manually qualified and propagates the given metadata values to the other documents belonging to the same cluster. A qualitative evaluation and a preliminary study about the scalability of this method are presented. AU - Prime-Claverie, C. AU - Beigbeder, M. AU - Lafouge, T. C3 - Proceedings. The 2005 IEEE/WIC/ACM International Conference on Web Intelligence, 19-22 Sept. 2005 DA - 2005 KW - Citation Analysis Internet meta data Search Engines PB - IEEE Comput. Soc. PY - 2005 SP - 602-5 ST - Metadata propagation in the Web using co-citations T3 - Proceedings. The 2005 IEEE/WIC/ACM International Conference on Web Intelligence TI - Metadata propagation in the Web using co-citations ID - 763 ER - TY - CONF AB - Data warehousing is a collection of concepts and tools, which aim at providing and maintaining a set of integrated data (the data warehouse - DW) for business decision support within an organization. They extract data from different operational data sources, and after some cleansing and transformation procedures data are integrated and loaded into a central repository to enable analysis and mining. Data and metadata lineage are important processes for data analysis. The first allows users to trace warehouse data items back to the original source item from which they were derived and the latter shows which operations have been performed to achieve that target data. This work proposes integrating metadata captured during transformation processes using the CWM metadata standard in order to enable data and metadata lineage. Additionally it presents a tool specially developed for performing this task. AU - de Santana, A. S. AU - de Carvalho Moura, A. M. C3 - Data Warehousing and Knowledge Discovery. 6th International Conference, DaWaK 2004. Proceedings, 1-3 Sept. 2004 DA - 2004 KW - data analysis Data Integrity data mining Data warehouses meta data PB - Springer-Verlag PY - 2004 SP - 249-58 ST - Metadata to support transformations and data metadata lineage in a warehousing environment T3 - Data Warehousing and Knowledge Discovery. 6th International Conference, DaWaK 2004. Proceedings (Lecture Notes in Comput. Sci. Vol.3181) TI - Metadata to support transformations and data metadata lineage in a warehousing environment ID - 1521 ER - TY - CONF AB - This paper presents a concept for the integration of quantitative and qualitative information sources with their accompanying management support functionalities from navigation and retrieval up to analysis and business intelligence. The integration is realized by a common keyword-based metadata base, retrievable and extendible by the end user on a web-based platform. This enables a dynamic acquisition of supplementary information on the usage, usability and benefit of basic and derived information objects, e.g. data warehouses, data marts, OLAP cubes, reports or (textual) documents. Being extended by functions to automatically catch contextual links during system usage, the concept is discussed as a contribution to the implementation of knowledge management. The concept is being developed and successfully tested in the practical environment of a reference project for the implementation of an IT-infrastructure to support decentralized decision-making at a German university. AU - Rieger, B. AU - Kleber, A. AU - von Maur, E. C3 - Proceedings of ECIS 2000: 8th European Conference on Information Systems, 3-5 July 2000 DA - 2000 KW - data mining Information Resources knowledge engineering meta data PB - Vienna Univ. PY - 2000 SP - 372-8 ST - Metadata-based integration of qualitative and quantitative information resources approaching knowledge management T3 - Proceedings of the 8th European Conference on Information Systems TI - Metadata-based integration of qualitative and quantitative information resources approaching knowledge management VL - vol.1 ID - 1055 ER - TY - CONF AB - This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the latent social context of user actions. It has important applications in information tasks such as search and recommendation. Social media has several unique challenges. (a) In social media, the context of user actions is constantly changing and co-evolving; hence the social context contains time-evolving multi-dimensional relations. (b) The social context is determined by the available system features and is unique in each social media website. In this paper we propose MetaFac (MetaGraph Factorization), a framework that extracts community structures from various social contexts and interactions. Our work has three key contributions: (1) metagraph, a novel relational hypergraph representation for modeling multi-relational and multi-dimensional social data; (2) an efficient factorization method for community extraction on a given metagraph; (3) an on-line method to handle time-varying relations through incremental metagraph factorization. Extensive experiments on real-world social data collected from the Digg social media website suggest that our technique is scalable and is able to extract meaningful communities based on the social media contexts. We illustrate the usefulness of our framework through prediction tasks. We outperform baseline methods (including aspect model and tensor analysis) by an order of magnitude. Copyright 2009 ACM. AU - Lin, Yu-Ru AU - Sun, Jimeng AU - Castro, Paul AU - Konuru, Ravi AU - Sundaram, Hari AU - Kelliher, Aisling C3 - 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '09, June 28, 2009 - July 1, 2009 DA - 2009 DO - 10.1145/1557019.1557080 KW - data mining Electric network analysis Factorization Social sciences Tensors Time varying networks Time varying systems Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2009 SP - 527-535 ST - MetaFac: Community discovery via relational hypergraph factorization T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - MetaFac: Community discovery via relational hypergraph factorization UR - http://dx.doi.org/10.1145/1557019.1557080 http://dl.acm.org/citation.cfm?doid=1557019.1557080 ID - 969 ER - TY - JOUR AB - Reef-building corals form close associations with organisms from all three domains of life and therefore have many potential viral hosts. Yet, knowledge of viral communities associated with corals is barely explored. This complexity presents a number of challenges in terms of the metagenomic assessments of coral viral communities, and requires specialised methods for purification and amplification of viral nucleic acids, as well as virome annotation. In this mini-review, we conduct a meta-analysis of the limited number of existing coral virome studies, as well as available coral transcriptome and metagenome data, to identify trends and potential complications inherent in different methods. The analysis shows that the method used for viral nucleic acid isolation drastically affects the observed viral assemblage and interpretation of the results. Further, the small number of viral reference genomes available, coupled with short sequence read lengths might cause errors in virus identification. Despite these limitations and potential biases, the data show that viral communities associated with corals are diverse, with double- and single-stranded DNA and RNA viruses. The identified viruses are dominated by dsDNA-tailed bacteriophages, but there are also viruses that infect eukaryote hosts, likely the endosymbiotic dinoflagellates, Symbiodinium spp., host coral, and other eukaryotes in close association. AU - Wood-Charlson, Elisha M. AU - Weynberg, Karen D. AU - Suttle, Curtis A. AU - Roux, Simon AU - van Oppen, Madeleine J. H. DA - 2015/02/13/ DO - 10.1111/1758-2229.12275 J2 - Environ Microbiol Rep KW - coral metagenome methodological biases Symbiodinium virome virus LA - Eng PY - 2015 SN - 1758-2229 1758-2229 ST - Metagenomic characterisation of viral communities in corals: Mining biological signal from methodological noise T2 - Environmental microbiology reports TI - Metagenomic characterisation of viral communities in corals: Mining biological signal from methodological noise ID - 223 ER - TY - JOUR AB - Reef-building corals form close associations with organisms from all three domains of life and therefore have many potential viral hosts. Yet knowledge of viral communities associated with corals is barely explored. This complexity presents a number of challenges in terms of the metagenomic assessments of coral viral communities and requires specialized methods for purification and amplification of viral nucleic acids, as well as virome annotation. In this minireview, we conduct a meta-analysis of the limited number of existing coral virome studies, as well as available coral transcriptome and metagenome data, to identify trends and potential complications inherent in different methods. The analysis shows that the method used for viral nucleic acid isolation drastically affects the observed viral assemblage and interpretation of the results. Further, the small number of viral reference genomes available, coupled with short sequence read lengths might cause errors in virus identification. Despite these limitations and potential biases, the data show that viral communities associated with corals are diverse, with double- and single-stranded DNA and RNA viruses. The identified viruses are dominated by double-stranded DNA-tailed bacteriophages, but there are also viruses that infect eukaryote hosts, likely the endosymbiotic dinoflagellates, Symbiodinium spp., host coral and other eukaryotes in close association. AU - Wood-Charlson, Elisha M. AU - Weynberg, Karen D. AU - Suttle, Curtis A. AU - Roux, Simon AU - van Oppen, Madeleine J. H. DA - 2015/10//undefined DO - 10.1111/1462-2920.12803 IS - 10 J2 - Environ Microbiol KW - *Coral Reefs Animals Anthozoa/*virology Dinoflagellida/virology DNA/genetics DNA, Single-Stranded/genetics DNA Viruses/*genetics/isolation & purification Eukaryotic Cells/virology Genome, Viral/*genetics Metagenomics Microbial Consortia/*genetics RNA Viruses/*genetics/isolation & purification Symbiosis/genetics Transcriptome LA - eng PY - 2015 SN - 1462-2920 1462-2912 SP - 3440-3449 ST - Metagenomic characterization of viral communities in corals: mining biological signal from methodological noise T2 - Environmental microbiology TI - Metagenomic characterization of viral communities in corals: mining biological signal from methodological noise VL - 17 ID - 211 ER - TY - CONF AB - The leaching heap and acid mine drainage are two key nodes in a bioleaching system. This study aimed to investigate the microbial community structural and functional diversity between the two nodes in bioleaching system from Dexing copper mine in Jiangxi province, China. 16SrRNA gene cloning and metagenomic analysis consistently indicated that there were obvious differences on microbial community structural and functional diversity in the two nodes. In leaching heap, the dominant species was the heterotrophic bacterium Acidiphilium; while the dominant species was the autotrophic bacterium Acidithiobacillus in acid mine drainage. Seven bacteria species were found in both two nodes, while the unique bacteria species in leaching heap and acid mine drainage were eleven and eight, respectively. In relation to the microbial community function aspect, all contigs and singlets were annotated against the non-redundant protein database of NCBI and clustering analyzed with COG database. For the two nodes, the COG clustering results showed that the functional category abundances were different, though the functional categories were similar. And the great majority of ORFs were forecasted as function unknown. All the results meant that the microbial community structural and functional diversity of bioleaching system was not as simple as former thought. This study could provide a new meta-view of theoretical support to bioleaching process. (2013) Trans Tech Publications, Switzerland. AU - Hu, Qi AU - Liang, Yi Li AU - Yin, Hua Qun AU - Guo, Xue AU - Hao, Xiao Dong AU - Liu, Xue Duan AU - Qiu, Guan Zhou C3 - 20th International Biohydrometallurgy Symposium, IBS 2013, October 8, 2013 - October 11, 2013 DA - 2013 DO - 10.4028/www.scientific.net/AMR.825.141 KW - Bacteria Bioleaching Clustering algorithms Copper mines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Trans Tech Publications Ltd PY - 2013 SN - 10226680 SP - 141-144 ST - Metagenomic insights into the microbial community diversity between leaching heap and acid mine drainage T3 - Advanced Materials Research TI - Metagenomic insights into the microbial community diversity between leaching heap and acid mine drainage UR - http://dx.doi.org/10.4028/www.scientific.net/AMR.825.141 http://www.scientific.net/AMR.825.141 VL - 825 ID - 855 ER - TY - CONF AB - Sentiment analysis functions by analyzing and extracting opinions from documents, websites, blogs, discussion forums and others to identify sentiment patterns on opinions expressed by consumers. It analyzes people's sentiment and identifies types of sentiment in comments expressed by consumers on certain matters. This paper highlights comparative studies on the types of feature selection in sentiment analysis based on natural language processing and modern methods such as Genetic Algorithm and Rough Set Theory. This study compares feature selection in text classification based on traditional and sentiment analysis methods. Feature selection is an important step in sentiment analysis because a suitable feature selection can identify the actual product features criticized or discussed by consumers. It can be concluded that metaheuristic based algorithms have the potential to be implemented in sentiment analysis research and can produce an optimal subset of features by eliminating features that are irrelevant and redundant. 2015 IEEE. AU - Ahmad, Siti Rohaidah AU - Bakar, Azuraliza Abu AU - Yaakub, Mohd Ridzwan C3 - Science and Information Conference, SAI 2015, July 28, 2015 - July 30, 2015 DA - 2015 DO - 10.1109/SAI.2015.7237148 KW - Algorithms Classification (of information) data mining feature extraction Genetic algorithms Natural language processing systems rough set theory Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 222-226 ST - Metaheuristic algorithms for feature selection in sentiment analysis T3 - Proceedings of the 2015 Science and Information Conference, SAI 2015 TI - Metaheuristic algorithms for feature selection in sentiment analysis UR - http://dx.doi.org/10.1109/SAI.2015.7237148 ID - 1505 ER - TY - CONF AB - Multi document summarization is the process of automatic creation of a summary of one or more text documents. We developed a multi-document summarization system which generate an extractive generic summary with maximum relevance and minimum redundancy. To achieve this, four features associated with sentences, that can influence the summarization process are extracted. It is difficult to find the appropriate weights corresponding to the features, which leads to good results. We propose a metaheuristic optimization based on solution population with multiple objective functions. The objective functions used takes care of both the statistical and semantic aspects of the documents. Our population based optimization converges rapidly to produce candidate sentences for summary. Evaluation of the proposed system is performed on DUC 2002 dataset using ROGUE tool kit. Experimental results shows that our system outperforms the state of the art works in terms of Recall and Precision. Springer International Publishing Switzerland 2015. AU - Premjith, P. S. AU - John, Ansamma AU - Wilscy, M. C3 - 3rd International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2015, December 9, 2015 - December 11, 2015 DA - 2015 DO - 10.1007/978-3-319-26832-3_33 KW - Optimization Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 347-358 ST - Metaheuristic optimization using sentence level semantics for extractive document summarization T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Metaheuristic optimization using sentence level semantics for extractive document summarization UR - http://dx.doi.org/10.1007/978-3-319-26832-3_33 VL - 9468 ID - 698 ER - TY - CONF AB - The identification of a set of genetic manipulations that result in a microbial strain with improved production capabilities of a metabolite with industrial interest is a big challenge in Metabolic Engineering. Evolutionary Algorithms and Simulated Annealing have been used in this task to identify sets of reaction deletions, towards the maximization of a desired objective function. To simulate the cell phenotype for each mutant strain, the Flux Balance Analysis approach is used, assuming organisms have maximized their growth along evolution. In this work, transcriptional information is added to the models using gene-reaction rules. The aim is to find the (near-)optimal set of gene knockouts necessary to reach a given productivity goal. The results obtained are compared with the ones reached using the deletion of reactions, showing that we obtain solutions with similar quality levels and number of knockouts, but biologically more feasible. Indeed, we show that several of the previous solutions are not viable using the provided rules. 2010 Springer-Verlag Berlin Heidelberg. AU - Vilaca, Paulo AU - Maia, Paulo AU - Rocha, Isabel AU - Rocha, Miguel C3 - 8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2010, April 7, 2010 - April 9, 2010 DA - 2010 DO - 10.1007/978-3-642-12211-8-18 KW - bioinformatics data mining Evolutionary algorithms Learning systems Metabolism Models Simulated annealing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2010 SN - 03029743 SP - 205-216 ST - Metaheuristics for strain optimization using transcriptional information enriched metabolic models T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Metaheuristics for strain optimization using transcriptional information enriched metabolic models UR - http://dx.doi.org/10.1007/978-3-642-12211-8-18 VL - 6023 LNCS ID - 1043 ER - TY - CONF AB - Traditionally, a single model is developed for a data mining task. As more data is being collected at a more detailed level, organizations are becoming more interested in having specific models for distinct parts of data (e.g. customer segments). From the business perspective, data can be divided naturally into different dimensions. Each of these dimensions is usually hierarchically organized (e.g. country, city, zip code), which means that, when developing a model for a given part of the problem (e.g. a zip code) the training data may be collected at different levels of this nested hierarchy (e.g. the same zip code, the city and the country it is located in). Selecting different levels of granularity may change the performance of the whole process, so the question is which level to use for a given part. We propose a metalearning model which recommends a level of granularity for the training data to learn the model that is expected to obtain the best performance. We apply decision tree and random forest algorithms for metalearning. At the base level, our experiment uses results obtained by outlier detection methods on the problem of detecting errors in foreign trade transactions. The results show that using metalearning help finding the best level of granularity. 2015 IEEE. AU - Zarmehri, Mohammad Nozari AU - Soares, Carlos C3 - International Joint Conference on Neural Networks, IJCNN 2015, July 12, 2015 - July 17, 2015 DA - 2015 DO - 10.1109/IJCNN.2015.7280656 KW - Codes (symbols) Commerce Database systems data mining decision trees Error detection Error statistics feature extraction International trade Metals N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 ST - Metalearning to choose the level of analysis in nested data: A case study on error detection in foreign trade statistics T3 - Proceedings of the International Joint Conference on Neural Networks TI - Metalearning to choose the level of analysis in nested data: A case study on error detection in foreign trade statistics UR - http://dx.doi.org/10.1109/IJCNN.2015.7280656 VL - 2015-September ID - 1501 ER - TY - CONF AB - Current data mining (DM) and machine learning (ML) tools are characterized by a plethora of algorithms but a lack of guidelines to select the right method according to the nature of the problem under analysis. Applications such as credit rating, medical diagnosis, mine-rock discrimination, fraud detection, and identification of objects in astronomical images generate thousands of instances for analysis with little or no additional information about the type of analysis technique most appropriate for the task at hand. Since real-world applications are generally time-sensitive, practitioners and researchers tend to use only a few available algorithms for data analysis, hoping that the set of assumptions embedded in these algorithms will match the characteristics of the data. Such practice in data mining and the application of machine learning has spurred the research community to investigate whether learning from data is made of a single operational layer - search for a good model that fits the data - or whether there are in fact several operational layers that can be exploited to produce an increase in performance over time. The latter alternative implies that it should be possible to learn about the learning process itself, and in particular that a system could learn to profit from previous experience to generate additional knowledge that can simplify the automatic selection of efficient models summarizing the data. This book provides a review and analysis of a research direction in machine learning and data mining known as metalearning.1 From a practical standpoint, the goal of metalearning is twofold. On the one hand, we wish to overcome some of the challenges faced by users with current data analysis tools. The aim here is to aid users in the task of selecting a suitable predictive model (or combination of models) while taking into account the domain of application. Without some kind of assistance, model selection and combination can turn into solid obstacles to end users who wish to access the technology more directly and cost-effectively. End users often lack not only the expertise necessary to select a suitable model, but also the availability of many models to proceed on a trial-and-error basis. A solution to this problem is attainable through the construction of metalearning systems that provide automatic and systematic user guidance by mapping a particular task to a suitable model (or combination of models). 2009 Springer-Verlag. C3 - Metalearning - Applications to Data Mining DA - 2009 DO - 10.1007/978-3-540-73263-1-1 KW - Algorithms data handling data mining Diagnosis image matching Learning systems Medical imaging Profitability Research Reviews N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2009 SN - 16112482 SP - 1-175 ST - Metalearning: Concepts and systems T3 - Cognitive Technologies TI - Metalearning: Concepts and systems UR - http://dx.doi.org/10.1007/978-3-540-73263-1-1 ID - 1358 ER - TY - JOUR AB - Orecretes are defined in the current study as a special type of duricrusts (chemical residues) with heavy metals, accumulated near-surface, but excluding deeper parts that developed under reducing conditions. More than 70 study areas across the globe, some of which containing more than one mineralized site, have been selected during this geomorphological study to cover the various morphoclimatic zones from pole to pole. The supergene mineral assemblages were investigated by means of XRD, SEM-EDS, EMPA (electron microprobe analysis), optical methods and oxygen isotope analysis of carbonates. While these methods remain incomplete, morphoclimatic studies supplemented by data from literature were conducted to determine the physical-chemical regime of orecretes in the course of supergene processes during the most recent parts of the Earth history. The current research is focused on the topmost metalliferous chemical residues and near-surface phosphate-bearing encrustations which act as a "sink" to a wide range of elements in addition to base metals. The orecretes are subdivided into oxicretes (oxide plus hydrate), carbocretes (carbonate), silicacretes (silica), halcretes (halogenides: Cl, J, F, and Br), sulcretes (sulfate plus APS minerals/aluminium phosphate sulfate minerals), phoscretes (phosphates), arsenocretes (arsenates), and vanadocretes (vanadates). Se-, Mo-, and oxalate-bearing orecretes, of less widespread occurrence than the afore-mentioned chemical residues, were named accordingly. The orecretes contain Pb, Cu, Zn, In, Fe, Mn, Ni, Co, W., REE, and Ag, as qualifier, each of which is added to the principal denominator (e.g., silicacrete-(Cu)). The development of orecretes is controlled by their parent material, the landforms, and the climate. The three principal factors render the orecretes under study a first-hand morpho-climatical marker for geomorphologists and climatologists, alike, as illustrated in a flow sheet. Climatologists might learn what was going on in the recent past but also get a tool to predict what we might expect in the near future if the morphoclimatic zones shift across the globe. (1) Orecretes-(Se-Mo) and arsenocretes only developed on parent material strongly enriched in the marker elements As, Se and Mo. Orecretes and carbocretes that occur in some sites as relic forms (see 3) may develop mineral deposits of their own near-surface, e.g., bauxites, ferricretes or uraniferous calcretes. (2) In poorly-reliefed areas, low-lands, plateaus, and highly-eroded mountain belts of Precambrian through Mesozoic age, the full range of orecretes from oxicretes through orecretes may be expected. In rift and graben structures as well as modern mountain belts of Cenozoic age, halcretes, vanadocretes, and phoscretes are less widespread, since the ratio of uplift vs. chemical weathering has a detrimental effect on these effervescence to be preserved when the morphoclimatic zone changed either by altitude or in time. Among the orecretes considerable changes in type and quantity may be observed along with latitudinal climatic zonation from the pole through the equator. These global horizontal changes are equivalent to the mineralogical variation encountered along with the vertical microclimatic zonation in mountainous regions with the (peri) glacial zone developing on top of the mountain chain. However along these vertical transects in highly-reliefed areas, the full spectrum of orecretes does rarely show up due to a more accelerated large-scale uplift and down wrapping relative to flat-lying areas. Nevertheless, orecretes offer a better insight into the weathering phenomena in mountainous areas than common weathering products such as clay minerals for their accommodation of physico-chemically critical elements into their lattice. (3) The latitudinal climatic zonation of orecretes has been discussed for the most recent time slices of the earth history, the Quaternary (<2 Ma) and Neogene (<20 Ma). The majority of orecretes investigated during this study formed during the Quaternary, as revealed by the shift o morphoclimatic zones across the globe and by the vertical zoning in modern mountain ranges. Using the oxygen isotopes of carbocretes to determine the paleotemperatures of orecretes along a transect perpendicular to various morphoclimatic zones, yielded a trend similar to that of the Quaternary climate curve. Irrespective of the precise age of formation, which can only be achieved for some U-, Mn- and C-bearing orecretes, these metalliferous duricrusts may be attributed to pedological and hydrological processes whose physico-chemical regime may be constrained based on thermo-dynamical calculations. The physico-chemical regime is mainly controlled by the chemical composition of the meteoric fluids (pH changes) under oxidizing and near-ambient hydrous conditions. (a) Oxicretes-(Fe-Mn-Cu -In) occur over the full pH range in the humid zone of moderate chemical weathering and likewise in tropical humid zones with pervasive chemical weathering. They often mark the onset of supergene alteration and occupy the position of relic forms marking, in places, a climate, which no longer exists. (b) Carbocretes-(Pb-Cu-Zn-Cd) formed within a pH-range similar to that of the oxicretes down to pH 4. Mountainous and periglacial regions are the most favorable morphoclimatic zones due to the retarded decomposition of organic matter in their soil types. Temperatures of carbocretes-(Cu-Zn-Pb) obtained from O isotope studies along the N-S trend fit the latitudinal morphoclimatic zonation across the globe. The temperature of formation controlled by the organic redox systems is higher in the humid tropical and mid latitude zones than in more arid zones relative to the mean annual temperatures due to the elevated groundwater level and increased rate of precipitation. (c) Silicacretes-(Cu-Zn) form in a pH range that only partially overlaps with those of carbocretes and oxicretes (absent in the strongly alkaline regime) and show up later in the succession of supergene alteration. Silicacretes favorably develop under "intermediate" morphoclimatic conditions with a balanced ratio between precipitation and evaporation. (d) For halcretes-(Cu-Ag), due to their high solubility, low precipitation plus high evaporation rates are decisive for their preservation. They are exclusive to the tropical semiarid and arid morphoclimatic zones in a low to neutral pH regime. (e) Sulcretes-(Fe-Cu-Pb-APS) similar to halcretes used to precipitate from acidic solutions, including the man-made acid-mine-drainage / AMD. They are indicative of strong evaporation in morphoclimatic zones where the chemical weathering is rather moderate and wind speed is rather high. Temperature is not per se a criterion for the presence or absence of sulfates, but dryness is critical for their precipitation. The boundaries between supergene and hypogene alteration is not sharp in this group of orecretes where APS minerals (aluminium phosphate sulfate) bridge the gap between the supergene and hypogene alteration by their varied solid solution series. Increasing amounts of REE within the APS s.s.s. (= solid solution series) and substitution of phosphate for sulfate in APS s.s.s. takes place as supergene morphoclimatic processes become more dominant in the near-surface alteration process. (f) Phoscretes (Al-Fe-Cu-Pb-REE) are rather heterogeneous with Al-enriched end members prevailing in acidic fluids and Al-free members under neutral to alkaline conditions. In the morphoclimatic humid mid latitude and tropical wet-dry zones phoscretes reveal a relative maximum as a function of the phosphate cycle within the biosphere/pedosphere. (g) Vanadocretes-(Pb-Cu-Zn) take an intermediate position between sulcretes and halcretes, to play a leading role in the sequence of aridity as follows: silicacrete >= sulcrete > vanadocrete > halcrete. They form exclusively under arid conditions as the rate of chemical weathering is low. (Ultra) basic magmatic rocks or (meta)biolites in the hinterland are mandatory to provide the V for the buildup of the orecrete. AU - Dill, Harald G. AU - Weber, Berthold AU - Botz, Reiner DA - 2013/04// DO - 10.1127/0077-7757/2013/0235 IS - 2 PY - 2013 SN - 0077-7757 SP - 123-195 ST - Metalliferous duricrusts ("orecretes") - markers of weathering: A mineralogical and climatic-geomorphological approach to supergene Pb-Zn-Cu-Sb-P mineralization on different parent materials T2 - Neues Jahrbuch Fur Mineralogie-Abhandlungen TI - Metalliferous duricrusts ("orecretes") - markers of weathering: A mineralogical and climatic-geomorphological approach to supergene Pb-Zn-Cu-Sb-P mineralization on different parent materials VL - 190 ID - 2307 ER - TY - JOUR AB - The Amazonian Craton hosts world-class metallogenic provinces with a wide range of styles of primary precious, rare, base metal, and placer deposits. This paper provides a synthesis of the geological database with regard to granitoid magmatic suites, spatio temporal distribution, tectonic settings, and the nature of selected mineral deposits. The Archean Carajas Mineral Province comprises greenstone belts (3.04 2.97 Ga), metavolcanic-sedimentary units (2.76-2.74 Ga), granitoids (3.07-2.84 Ga) formed in a magmatic arc and syn-collisional setting, post-orogenic A(2)-type granites as well as gabbros (ca. 2.74 Ga), and anorogenic granites (1.88 Ga). Archean iron oxide-Cu-Au (IOCG) deposits were synchronous or later than bimodal magmatism (2.74-2.70 Ga). Paleoproterozoic IOCG deposits, emplaced at shallow-crustal levels, are enriched with Nb-Y-Sn-Be-U. The latter, as well as Sn-W and Au-EGP deposits are coeval with ca. 1.88 Ga A(2)-type granites. The Tapajos Mineral Province includes a low-grade meta-volcano-sedimentary sequence (2.01 Ga), tonalites to granites (2.0-1.87 Ga), two talc-alkaline volcanic sequences (2.0-1.95 Ga to 1.89-1.87 Ga) and A-type rhyolites and granites (1.88 Ga). The talc-alkaline volcanic rocks host epithermal Au and base metal mineralization, whereas Cu-Au and Cu-Mo +/- Au porphyry-type mineralization is associated with sub-volcanic felsic rocks, formed in two continental magmatic arcs related to an accretionary event, resulting from an Andean-type northwards subduction. The Alta Floresta Gold Province consists of Paleoproterozoic plutono-volcanic sequences (1.98-1.75 Ga), generated in ocean ocean orogenies. Disseminated and vein-type Au +/- Cu and Au + base metal deposits are hosted by calc-alkaline I-type granitic intrusions (1.98 Ga, 1.90 Ga, and 1.87 Ga) and quartz-feldspar porphyries (ca. 1.77 Ga). Timing of the gold deposits has been constrained between 1.78 Ga and 1.77 Ga and linked to post-collisional Juruena arc felsic magmatism (e.g., Colider and Teles Pires suites). The Transamazonas Province corresponds to a N-S-trending orogenic belt, consolidated during the Trans amazonian cycle (2.26-1.95 Ga), comprising the Lourenco, Amapa, Carecuru, Bacaja, and Santana do Araguaia tectonic domains. They show a protracted tectonic evolution, and are host to the pre-, syn-, and post-orogenic to anorogenic granitic magmatism. Gold mineralization associated with magmatic events is still unclear. Greisen and pegmatite Sn-Nb-Ta deposits are related to 1.84 to 1.75 Ga late-orogenic to anorogenic A-type granites. The Pitinga Tin Province includes the Madeira Sn-Nb-Ta-F deposit, Sn-greisens and Sn-episyenites. These are associated with A-type granites of the Madeira Suite (1.84 -1.82 Ga), which occur within a cauldron complex (Iricoume Group). The A-type magmatism evolved from a post-collisional extension, towards a within-plate setting. The hydrothermal processes (400 degrees C 100 degrees C) resulted in albitization and formation of disseminated cryolite, pyrochlore columbitization, and formation of a massive cryolite deposit in the core of the Madeira deposit. The Rondonia Tin Province hosts rare-metal (Ta, Nb, Be) and Sn-W mineralization, which is associated with the Sao Lourenco-Caripunas (131-1.30 Ga), related to the post-collisional stage of the Rondonia San Ignacio Province (1.56-1.30 Ga), and to the Santa Clara (1.08-1.07 Ga) and Younger Granites of Rondonia (0.99-0.97 Ga) A type granites. The latter are linked to the evolution of the Sunsas-Aguapel Province (1.20-0.95 Ga). Rare metal polymetallic deposits are associated with late stage peraluminous granites, mainly as greisen, quartz vein, and pegmatite types. (C) 2015 Elsevier Ltd. All rights reserved. AU - Bettencourt, Jorge Silva AU - Juliani, Caetano AU - Xavier, Roberto P. AU - Monteiro, Lena V. S. AU - Bastos Neto, Artur C. AU - Klein, Evandro L. AU - Assis, Rafael R. AU - Leite, Washington Barbosa AU - Moreto, Carolina P. N. AU - Dias Fernandes, Carlos Marcello AU - Pereira, Vitor Paulo DA - 2016/07// DO - 10.1016/j.jsames.2015.11.014 L1 - internal-pdf://2534935307/Bettencourt-2016-Metallogenetic systems associ.pdf PY - 2016 SN - 0895-9811 SP - 22-49 ST - Metallogenetic systems associated with granitoid magmatism in the Amazonian Craton: An overview of the present level of understanding and exploration significance T2 - Journal of South American Earth Sciences TI - Metallogenetic systems associated with granitoid magmatism in the Amazonian Craton: An overview of the present level of understanding and exploration significance UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S089598111530095X/1-s2.0-S089598111530095X-main.pdf?_tid=fce2e57e-832d-11e6-9d1a-00000aab0f02&acdnat=1474814602_0c6b8780bdccbc523f1c0c62b53c7e05 VL - 68 ID - 2174 ER - TY - CONF AB - Evaluation is present at any phase of the life cycle of a product and each time engineering choices must be made or justified. In order to contribute to supporting the evaluation process, we propose in this paper a meta-model of data needed to evaluate product design within the Systems Engineering framework. Relevant to the MBSE approach, the proposed meta-model should facilitate the communication within a multidisciplinary design team as it highlights the concepts and relations that must be handled and shared by the designers. It could be a basis for the development of a computer assisted evaluation tool for designing interdisciplinary systems such as mechatronics ones. Some concepts and relationships of the proposed meta-model are illustrated in the mechatronic context of designing a module for a power-assisted wheelchair. 2012 IFAC. AU - Lo, M. AU - Couturier, P. C3 - 14th IFAC Symposium on Information Control Problems in Manufacturing, INCOM'12, May 23, 2012 - May 25, 2012 DA - 2012 DO - 10.3182/20120523-3-RO-2023.00192 KW - Manufacture Mathematical models Mechatronics Product Design Systems analysis Systems engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IFAC Secretariat PY - 2012 SN - 14746670 SP - 1562-1567 ST - A metamodel of evaluation in systems engineering: Application to a mechatronic design T3 - IFAC Proceedings Volumes (IFAC-PapersOnline) TI - A metamodel of evaluation in systems engineering: Application to a mechatronic design UR - http://dx.doi.org/10.3182/20120523-3-RO-2023.00192 VL - 14 ID - 765 ER - TY - JOUR AB - Enterprise Resource Planning (ERP) systems handle a huge amount of data related to the actual execution of business processes and the goal is to discover from transaction log a model of how the business processes are actually carried out. The authors' work captures the knowledge of existing approaches and tools in converting the data from transaction logs to event logs for process mining techniques. They conduct a detailed analysis of the artifact-centric approach concepts and describe its constructs by the ontological metamodel. The underlying logical and semantically rich structure of the approach is presented through the model definition. The paper specifies how concepts of the data source are mapped onto the concept of the event log. Dynamics NAV ERP system is used as an example to illustrate the data-oriented structure of ERP system. Copyright 2016, IGI Global. AU - Paji, Ana AU - Beejski-Vujaklija, Dragana DA - 2016 DO - 10.4018/IJDSST.2016040102 IS - 2 J2 - International Journal of Decision Support System Technology KW - data handling data mining Enterprise resource planning N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 19416296 SP - 18-28 ST - Metamodel of the artifact-centric approach to event log extraction from ERP systems T2 - International Journal of Decision Support System Technology TI - Metamodel of the artifact-centric approach to event log extraction from ERP systems UR - http://dx.doi.org/10.4018/IJDSST.2016040102 VL - 8 ID - 1210 ER - TY - CONF AB - As computational capabilities have increased, so too has our ability to apply engineering simulations to problems of ever increasing complexity. Unfortunately, while our desire to apply engineering analysis to problems of increasing complexity; the computational burden of these analysis tools often precludes their direct use on design problems where iteration is the norm. Not only does design entail iteration, the practice of design optimization relies upon iterative methods to arrive at an optimal and or robust design solution. Surrogate models, often called metamodels or models of models, are a common solution to this challenge. Numerous metamodeling techniques are available to the engineering designer. However, all metamodels face common issues in the acquisition of sufficient data to support the metamodel, algorithms to fit the metamodel to the data, and methods to exploit the metamodel for tasks such as design space visualization, analysis and optimization. This paper reviews the state of the art in metamodeling as a tool for product and process design. In addition to reviewing the various types of metamodels in use, discussions of current research issues in data acquisition, modeling the design space and using metamodels in product and process design are discussed. This review is intended to define the foundation for other papers within the conference session. 2011 by ASME. AU - Turner, Cameron J. C3 - ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011, August 28, 2011 - August 31, 2011 DA - 2011 DO - 10.1115/DETC2011-47483 KW - Computational complexity Iterative methods Optimization Process design Product Design N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Society of Mechanical Engineers PY - 2011 SP - 639-651 ST - Metamodeling in product and process design T3 - Proceedings of the ASME Design Engineering Technical Conference TI - Metamodeling in product and process design UR - http://dx.doi.org/10.1115/DETC2011-47483 VL - 2 ID - 660 ER - TY - CONF AB - State of the art in multimedia technology focuses in managing data collected from various sources, including documents, images, video, and speech. Therefore the effective management, analysis and mining of such heterogeneous data require the combination of various techniques. In this paper, we present an overview of the funded MetaOn project. The core objective of MetaOn is to construct and integrate semantically rich metadata collections extracted from documents, images and linguistic resources, to facilitate intelligent search and analysis. The proposed MetaOn framework involves ontology-based information extraction and data mining, semi-automatic construction of domain specific ontologies, content-based image indexing and retrieval, and metadata management. The Hellenic history has been chosen as a challenging application case study. AU - Karanikas, H. AU - Pelekis, N. AU - Iakovidis, D. K. AU - Kopanakis, I. AU - Mavroudakis, T. AU - Theodoridis, Y. C3 - Seventeenth International Conference on Database and Expert Systems Applications, 4-8 Sept. 2006 DA - 2006 KW - content-based retrieval data analysis data mining image retrieval information retrieval meta data multimedia computing ontologies (artificial intelligence) N1 -CD-ROM
PB - IEEE Comput. Soc. PY - 2006 SP - 5-pp. ST - MetaOn - ontology driven metadata construction and management for intelligent search in text and image collections T3 - Seventeenth International Conference on Database and Expert Systems Applications TI - MetaOn - ontology driven metadata construction and management for intelligent search in text and image collections ID - 1633 ER - TY - JOUR AB - Contemporary microbial ecology studies usually employ one or more "omics" approaches to investigate the structure and function of microbial communities. Among these, metaproteomics aims to characterize the metabolic activities of the microbial membership, providing a direct link between the genetic potential and functional metabolism. The successful deployment of metaproteomics research depends on the integration of high-quality experimental and bioinformatic techniques for uncovering the metabolic activities of a microbial community in a way that is complementary to other "meta-omic" approaches. The essential, quality-defining informatics steps in metaproteomics investigations are: (1) construction of the metagenome, (2) functional annotation of predicted protein-coding genes, (3) protein database searching, (4) protein inference, and (5) extraction of metabolic information. In this article, we provide an overview of current bioinformatic approaches and software implementations in metaproteome studies in order to highlight the key considerations needed for successful implementation of this powerful community-biology tool. AU - Abraham, Paul E. AU - Giannone, Richard J. AU - Xiong, Weili AU - Hettich, Robert L. DA - 2014 DO - 10.1002/0471250953.bi1326s46 J2 - Curr Protoc Bioinformatics KW - *Microbiota *Proteomics Databases, Protein Information storage and retrieval Mass Spectrometry Metagenomics metaproteomics Peptides/chemistry protein database search protein inference Proteins/chemistry Proteomics shotgun proteomics LA - eng PY - 2014 SN - 1934-340X 1934-3396 SP - 13.26.1-14 ST - Metaproteomics: extracting and mining proteome information to characterize metabolic activities in microbial communities T2 - Current protocols in bioinformatics / editoral board, Andreas D. Baxevanis ... [et al.] TI - Metaproteomics: extracting and mining proteome information to characterize metabolic activities in microbial communities UR - http://onlinelibrary.wiley.com/doi/10.1002/0471250953.bi1326s46/abstract VL - 46 ID - 380 ER - TY - JOUR AB - Fruit quality represents an important aspect of any fruit species, due to its economical importance and direct impact on consumers' appreciation. In order to generate a compendium about the genomic intervals putatively involved in the control of the several fruit quality components, a Meta-quantitative trait loci (QTL) analysis was performed starting from a QTL mapping survey individually conducted on four full-sib populations. These progenies were simultaneously genotyped with 1289 SNP markers, of which 52 % were in common for at least two maps. The combination of the genotypic and phenotypic datasets allowed the identification of 56 QTLs, which were subsequently projected into a consensus map, reducing the total number of genomic intervals to 27 MetaQTLs. The majority of these regions, associated to fruit quality traits such as fruit skin color and flesh firmness, resulted also consistent with previous reports presented to date to the scientific community. This MetaQTL overview would represents a valuable source for genome anchoring and data mining investigation, suitable for a further in silico identification of relevant causal genes. As example is reported the case of Md-PG1, a gene known to control fruit firmness in apple and retrieved within the confidence interval of a MetaQTL associated to fruit firmness. AU - Costa, Fabrizio DA - 2015/02// DO - 10.1007/s11295-014-0819-9 IS - 1 L1 - internal-pdf://1615935710/Costa-2015-MetaQTL analysis provides a compend.pdf PY - 2015 SN - 1614-2942 SP - 819 ST - MetaQTL analysis provides a compendium of genomic loci controlling fruit quality traits in apple T2 - Tree Genetics & Genomes TI - MetaQTL analysis provides a compendium of genomic loci controlling fruit quality traits in apple VL - 11 ID - 2095 ER - TY - CONF AB - The continuous monitoring of ground deformation and structural movement has become an important task in engineering. MetaSensing introduces a novel sensor system, the Fast Ground Based Synthetic Aperture Radar (FastGBSAR), based on innovative technologies that have already been successfully applied to airborne SAR applications. The FastGBSAR allows the remote sensing of deformations of a slope or infrastructure from up to a distance of 4 km. The FastGBSAR can be setup in two different configurations: in Real Aperture Radar (RAR) mode it is capable of accurately measuring displacements along a linear range profile, ideal for monitoring vibrations of structures like bridges and towers (displacement accuracy up to 0.01 mm). Modal parameters can be determined within half an hour. Alternatively, in Synthetic Aperture Radar (SAR) configuration it produces two-dimensional displacement images with an acquisition time of less than 5 seconds, ideal for monitoring areal structures like dams, landslides and open pit mines (displacement accuracy up to 0.1 mm). The MetaSensing FastGBSAR is the first ground based SAR instrument on the market able to produce two-dimensional deformation maps with this high acquisition rate. By that, deformation time series with a high temporal and spatial resolution can be generated, giving detailed information useful to determine the deformation mechanisms involved and eventually to predict an incoming failure. The system is fully portable and can be quickly installed on bedrock or a basement. The data acquisition and processing can be fully automated leading to a low effort in instrument operation and maintenance. Due to the short acquisition time of FastGBSAR, the coherence between two acquisitions is very high and the phase unwrapping is simplified enormously. This yields a high density of resolution cells with good quality and high reliability of the acquired deformations. The deformation maps can directly be used as input into an Early Warning system, to determine the state and danger of a slope or structure. In this paper, the technical principles of the instrument are described and case studies of different monitoring tasks are presented. 2014 SPIE. AU - Rodelsperger, Sabine AU - Meta, Adriano C3 - SAR Image Analysis, Modeling, and Techniques XIV, September 24, 2014 - September 25, 2014 DA - 2014 DO - 10.1117/12.2067243 KW - data acquisition data handling deformation Hydraulic structures Image analysis Modal analysis Monitoring Open pit mining Radar Radar measurement REMOTE SENSING Satellite ground stations Structural dynamics synthetic aperture radar Vibration measurement N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SPIE PY - 2014 SN - 0277786X SP - The-Society of Photo-Optical Instrumentation Engineers (SPIE) ST - MetaSensing's FastGBSAR: Ground based radar for deformation monitoring T3 - Proceedings of SPIE - The International Society for Optical Engineering TI - MetaSensing's FastGBSAR: Ground based radar for deformation monitoring UR - http://dx.doi.org/10.1117/12.2067243 VL - 9243 ID - 659 ER - TY - JOUR AB - We generalize the concept of quantum phase transitions, which is conventionally defined for a ground state and usually applied in the thermodynamic limit, to one for metastable states in finite-size systems. In particular, we treat the one-dimensional Bose gas on a ring in the presence of both interactions and rotation. To support our study, we bring to bear mean-field theory, i.e., the nonlinear Schrodinger equation, and linear perturbation or Bogoliubov-de Gennes theory. Both methods give a consistent result in the weakly interacting regime: there exist two topologically distinct quantum phases. The first is the typical picture of superfluidity in a Bose-Einstein condensate on a ring: average angular momentum is quantized and the superflow is uniform. The second is where one or more dark solitons appear as stationary states, breaking the symmetry, the average angular momentum becomes a continuous quantity. The phase of the condensate can therefore be continuously wound and unwound. 2009 The American Physical Society. AU - Kanamoto, R. AU - Carr, L. D. AU - Ueda, M. DA - 2009 DO - 10.1103/PhysRevA.79.063616 IS - 6 J2 - Physical Review A - Atomic, Molecular, and Optical Physics KW - Angular momentum Bose-Einstein condensation Electron tunneling Mean field theory Nonlinear equations Phase transitions Solitons Steam condensers N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 10502947 ST - Metastable quantum phase transitions in a periodic one-dimensional Bose gas: Mean-field and Bogoliubov analyses T2 - Physical Review A - Atomic, Molecular, and Optical Physics TI - Metastable quantum phase transitions in a periodic one-dimensional Bose gas: Mean-field and Bogoliubov analyses UR - http://dx.doi.org/10.1103/PhysRevA.79.063616 http://journals.aps.org/pra/abstract/10.1103/PhysRevA.79.063616 VL - 79 ID - 872 ER - TY - JOUR AB - Dynamic real-world applications that generate data continuously have introduced new challenges for the machine learning community, since the concepts to be learned are likely to change over time. In such scenarios, an appropriate model at a time point may rapidly become obsolete, requiring updating or replacement. As there are several learning algorithms available, choosing one whose bias suits the current data best is not a trivial task. In this paper, we present a meta-learning based method for periodic algorithm selection in time-changing environments, named MetaStream. It works by mapping the characteristics extracted from the past and incoming data to the performance of regression models in order to choose between single learning algorithms or their combination. Experimental results for two real regression problems showed that MetaStream is able to improve the general performance of the learning system compared to a baseline method and an ensemble-based approach. 2013 Elsevier B.V. AU - Rossi, Andre Luis Debiaso AU - de Leon Ferreira de Carvalho, Andre Carlos Ponce AU - Soares, Carlos AU - de Souza, Bruno Feres DA - 2014 DO - 10.1016/j.neucom.2013.05.048 IS - 1 J2 - Neurocomputing KW - Algorithms artificial intelligence data mining Learning algorithms Learning systems Regression Analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 09252312 SP - 52-64 ST - MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data T2 - Neurocomputing TI - MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data UR - http://dx.doi.org/10.1016/j.neucom.2013.05.048 VL - 127 ID - 1561 ER - TY - CONF AB - Experimental studies suggested that epigenetic gene silencing play an important role in cancer formation. Aberrant DNA methylation is one of the epigenetic silencing mechanisms related to downregulation or upregulation of miRNA expression in human cancer cells. However, there is still few comprehensive in silico study concerning DNA methylation-mediated miRNA aberrant expression events. Currently there are a number of epigenetic databases but seldom of them integrate DNA-methylation and miRNAs expression to identify epigenetic-regulated miRNA which targeted oncogene or tumor suppressor genes in cancer. We present MethmiRbase (http://ppi.bioinfo.Asia.edu.tw/MethmiRbase) a database that made use of meta-analysis to identify potential epigenetic-regulated miRNAs for three human cancers, i.e. lung adenocarcinoma, lung squamous carcinoma and ovarian cancers. We also included experimentally verified cancer-associated miRNA target genes in MethmiRbase. AU - Agustriawan, David AU - Wijaya, Ezra B. AU - Huang, Chien-Hung AU - Lim, Erwandy AU - Hsueh, I. Chin AU - Kurubanjerdjit, Nilubon AU - Tzeng, Ke-Rung AU - Ng, Ka-Lok C3 - International Multiconference of Engineers and Computer Scientists 2016, IMECS 2016, March 16, 2016 - March 18, 2016 DA - 2016 KW - Alkylation Biological organs Database systems Diseases DNA gene expression Genes Methylation RNA N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Newswood Limited PY - 2016 SN - 20780958 SP - 73-76 ST - MethmiRbase: A database of DNA methylation and miRNA expression in human cancer T3 - Lecture Notes in Engineering and Computer Science TI - MethmiRbase: A database of DNA methylation and miRNA expression in human cancer VL - 1 ID - 781 ER - TY - BOOK AU - Kostoff, Ronald N. DA - 2005/04// DP - Google Scholar PB - Google Patents PY - 2005 ST - Method for data and text mining and literature-based discovery TI - Method for data and text mining and literature-based discovery UR - https://www.google.com/patents/US6886010 Y2 - 2016/09/24/15:41:08 ID - 2390 ER - TY - JOUR AB - It is important to find out interactive links between pairs of utterances in multi-party conversation like an online chat. Though the usage of linguistic information is necessary to do this, we showed the better performance to this criterion by using physical meta-information that consists of the number of conversation members, the distance between utterances, and the frequency of individual utterance. We used three classifiers that are Artificial Neural Network (ANN), Decision Tree (DT) and Support Vector Machine (SVM) for learning these links. The purpose of learning by ANN is researching possibility of learning and linear separability. We use DT to know important elements for the links. And, we expect that the high classification performance by SVM. From the result of ANN, we found that the problem of detecting the links between utterances was linearly non-separable and could be learned by classifiers. The result of the examination of ANN learning showed the accuracy is 77.5%, the precision is 64.5% and the recall is 60.0%. We define the base line that the links exsist between adjoining utterances, the result of base line showed the accuracy is 44.0%, the precision is 33.8% and the recall is 22.7%. This result showed that the result of ANN was better than base line. The result of DT showed that the information of distance between utterances is an important element to detect the links. In the matter of links between others' utterances, the information of distance greatly influences detecting links with the information of number of participants or frequency of utterances. The result of the examination of SVM learning showed the accuracy is 79.1%, the precision is 72.7% and the recall is 71.1 % for link between same perosn's utterances, and the accuracy is 78.9%, the precision is 71.2% and the recall is 59.0% for link between others' utterances. The result of the examination without meta-information showed the accuracy is 62.6%, the precision is 47.5%, the recall is 36.6% for same person's utterances, and the accuracy is 77.7%, the precision is 74.2% and the recall is 49.4% for others'. These results showed we could find new links by using meta-information. In addition, we add two attributes as the linguistic information. The result using only linguistic information showed that the accuracy is 63.9%, the precision is 50.9%, the recall is 53.3% for same person's utterances, and the accuracy is 79.5%, the precision is 74.7% and the recall is 57.0% for others' utterances. On the other hand, the result using linguistic information and meta-information showed that the accuracy is 81.3%, the precision is 74.3% and the recall is 77.9% for link between same perosn's utterances, and the accuracy is 80.3%, the precision is 71.1% and the recall is 66.8% for link between others'. From this result, we can expect that the result using meta-information up about 10-20% over the result from only linguistic. AU - Nakamura, Junpei AU - Tajima, Yasuhiro AU - Kotani, Yoshiyuki DA - 2007 IS - 3 J2 - WSEAS Transactions on Communications KW - data mining knowledge engineering Learning systems Linguistics Online conferencing Telecommunication links N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2007 SN - 11092742 SP - 443-450 ST - A method of determining presence of the link between utterances using meta-information in character based multi-party conversation T2 - WSEAS Transactions on Communications TI - A method of determining presence of the link between utterances using meta-information in character based multi-party conversation VL - 6 ID - 1669 ER - TY - CONF AB - Based on the dynamic association rules, this paper puts forward the formal definition of meta-rules which makes use of the support vector and confidence vector as evaluation of rules, and introduces the usual mining process of the Meta-association Rules for dynamic association rule by the model of AR-Markov, the examples show that this method is effective in the analysing and predicting the change tendency of Meta-association Rules' support value and confidence value. AU - Feng, Jingjing AU - Zeng, Qingfei AU - Zhang, Zhonglin C3 - 2010 2nd International Conference on Networks Security, Wireless Communications and Trusted Computing (NSWCTC 2010), 24-25 April 2010 DA - 2010 DO - 10.1109/NSWCTC.2010.248 KW - data mining Markov processes meta data Support Vector Machines PB - IEEE Computer Society PY - 2010 SP - 210-14 ST - A Method of Mining the Meta-association Rules for Dynamic Association Rule Based on the Model of AR-Markov T3 - Proceedings of the 2nd International Conference on Networks Security, Wireless Communications and Trusted Computing (NSWCTC 2010) TI - A Method of Mining the Meta-association Rules for Dynamic Association Rule Based on the Model of AR-Markov UR - http://dx.doi.org/10.1109/NSWCTC.2010.248 VL - vol.2 ID - 1698 ER - TY - CONF AB - Data characterizing techniques have been developed to control learning algorithm selection by using statistical measurements of a dataset. To expand the framework of meta-learning, it is important to consider results of other learning algorithms. Therefore, we consider about a method to reuse objective rule evaluation indices of classification rules. Objective rule evaluation indices such as support, precision and recall are calculated by using a rule set and a validation dataset. This data-driven approach is often used to filter out not useful rules from obtained rule set by a rule learning algorithm. At the same time, these indices can detect differences between two validation datasets by using the rule set and the indices, because the definitions of indices independent on both of a rule and a dataset. In this paper, we present a method to characterize given datasets based on objective rule evaluation indices by using differences of correlation coefficients between each index. By comparing the differences, we describe the results of similar/dissimilar groups of the datasets. AU - Abe, H. AU - Tsumoto, S. C3 - Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009, 15-16 April 2009 DA - 2009 DO - 10.1117/12.820319 KW - data mining learning (artificial intelligence) pattern classification statistical analysis L1 - internal-pdf://2044897763/Abe-2009-A method to characterize dataset base.pdf PB - SPIE - The International Society for Optical Engineering PY - 2009 SN - 0277-786X SP - 73440D-(7 pp.) ST - A method to characterize dataset based on objective rule evaluation indices T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE - Int. Soc. Opt. Eng. (USA) TI - A method to characterize dataset based on objective rule evaluation indices UR - http://dx.doi.org/10.1117/12.820319 http://proceedings.spiedigitallibrary.org.ezproxy.lib.vt.edu/data/Conferences/SPIEP/11166/73440D_1.pdf VL - 7344 ID - 1390 ER - TY - JOUR AB - To the meta rule instantiation of meta-rule-guided data mining, the current methods to instantiate meta rule are discussed. It is pointed out that, besides data type of attribute, the set of attribute value restricts the instantiation of the same attribute variable of meta rule. The notion of connected attributes between relation tables and relative theories are proposed, based on which a method of instantiate meta rule is given. An example shows that the proposed method is effective and can greatly reduce the size of meta rule candidate instantiation set. AU - Zhu, Heng-Min AU - Liu, Jian-Guo AU - Wang, Ning-Sheng DA - 2005 IS - 10 J2 - Kongzhi yu Juece/Control and Decision KW - Database systems data mining Information analysis Knowledge acquisition Knowledge based systems Metadata N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2005 SN - 10010920 SP - 1120-1124 ST - Method to instantiate meta rule based on connected attributes T2 - Kongzhi yu Juece/Control and Decision TI - Method to instantiate meta rule based on connected attributes VL - 20 ID - 1634 ER - TY - CONF AB - Despite the increasing popularity of systematic literature reviews in Software Engineering, several researchers still indicate it as a costly and challenging process. Aiming at alleviating this costly process, we propose an iterative method to support the process of building the search string for a systematic review. This method uses Visual Text Mining techniques to support the researcher by suggesting new terms for the string. In order to do so, the method extracts relevant terms from studies selected by the researcher and displays them in a way that facilitate their visualization and supports building and refining the search string. In order to check the feasibility of this approach, we developed a tool that implements the proposed method. Interviews with researchers identified their difficulties in performing systematic reviews and captured their feedback with regards the use of the proposed method in a user study. The researchers indicated that this approach could be used to improve the process of building the search strings for systematic reviews. The study indicates that our approach can be used to facilitate the construction of the systematic literature review search string. Copyright 2015 ACM. AU - Mergel, Germano Duarte AU - Silveira, Milene Selbach AU - Da Silva, Tiago Silva C3 - 30th Annual ACM Symposium on Applied Computing, SAC 2015, April 13, 2015 - April 17, 2015 DA - 2015 DO - 10.1145/2695664.2695902 KW - Cost engineering data mining Information systems Iterative methods software engineering visualization L1 - internal-pdf://3006968068/p1594-mergel.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2015 SP - 1594-1601 ST - A method to support search string building in systematic literature reviews through visual text mining T3 - Proceedings of the ACM Symposium on Applied Computing TI - A method to support search string building in systematic literature reviews through visual text mining UR - http://dx.doi.org/10.1145/2695664.2695902 VL - 13-17-April-2015 ID - 1513 ER - TY - JOUR AB - OBJECTIVES: Overviews search for reviews rather than for primary studies. They might have the potential to support decision making within a shorter time frame by reducing production time. We aimed to summarize available instructions for authors intending to conduct overviews as well as the currently applied methodology of overviews in international Health Technology Assessment (HTA) agencies. METHODS: We identified 127 HTA agencies and scanned their websites for methodological handbooks as well as published overviews as HTA reports. Additionally, we contacted HTA agencies by e-mail to retrieve possible unidentified handbooks or other related sources. RESULTS: In total, eight HTA agencies providing methodological support were found. Thirteen HTA agencies were found to have produced overviews since 2007, but only six of them published more than four overviews. Overviews were mostly employed in HTA products related to rapid assessment. Additional searches for primary studies published after the last review are often mentioned in order to update results. CONCLUSIONS: Although the interest in overviews is rising, little methodological guidance for the conduct of overviews is provided by HTA agencies. Overviews are of special interest in the context of rapid assessments to support policy-making within a short time frame. Therefore, empirical work on overviews needs to be extended. National strategies and experience should be disclosed and discussed. AU - Pieper, Dawid AU - Antoine, Sunya-Lee AU - Morfeld, Jana-Carina AU - Mathes, Tim AU - Eikermann, Michaela DA - 2014/09//undefined DO - 10.1002/jrsm.1107 IS - 3 J2 - Res Synth Methods KW - *Practice Guidelines as Topic *Review Literature as Topic Data Mining/*standards Evidence-Based Medicine/*standards Internationality Periodicals as Topic/standards policy making public policy review technology assessment Technology Assessment, Biomedical/*methods/*standards/trends time factor LA - eng PY - 2014 SN - 1759-2887 1759-2879 SP - 187-199 ST - Methodological approaches in conducting overviews: current state in HTA agencies T2 - Research synthesis methods TI - Methodological approaches in conducting overviews: current state in HTA agencies VL - 5 ID - 308 ER - TY - JOUR AB - The Cochrane Collaboration was established in 1993, following the opening of the UK Cochrane Centre in 1992, at a time when searching for studies for inclusion in systematic reviews was not well-developed. Review authors largely conducted their own searches or depended on medical librarians, who often possessed limited awareness and experience of systematic reviews. Guidance on the conduct and reporting of searches was limited. When work began to identify reports of randomized controlled trials (RCTs) for inclusion in Cochrane Reviews in 1992, there were only approximately 20,000 reports indexed as RCTs in MEDLINE and none indexed as RCTs in Embase. No search filters had been developed with the aim of identifying all RCTs in MEDLINE or other major databases. This presented The Cochrane Collaboration with a considerable challenge in identifying relevant studies.Over time, the number of studies indexed as RCTs in the major databases has grown considerably and the Cochrane Central Register of Controlled Trials (CENTRAL) has become the best single source of published controlled trials, with approximately 700,000 records, including records identified by the Collaboration from Embase and MEDLINE. Search filters for various study types, including systematic reviews and the Cochrane Highly Sensitive Search Strategies for RCTs, have been developed. There have been considerable advances in the evidence base for methodological aspects of information retrieval. The Cochrane Handbook for Systematic Reviews of Interventions now provides detailed guidance on the conduct and reporting of searches. Initiatives across The Cochrane Collaboration to improve the quality inter alia of information retrieval include: the recently introduced Methodological Expectations for Cochrane Intervention Reviews (MECIR) programme, which stipulates 'mandatory' and 'highly desirable' standards for various aspects of review conduct and reporting including searching, the development of Standard Training Materials for Cochrane Reviews and work on peer review of electronic search strategies. Almost all Cochrane Review Groups and some Cochrane Centres and Fields now have a Trials Search Co-ordinator responsible for study identification and medical librarians and other information specialists are increasingly experienced in searching for studies for systematic reviews.Prospective registration of clinical trials is increasing and searching trials registers is now mandatory for Cochrane Reviews, where relevant. Portals such as the WHO International Clinical Trials Registry Platform (ICTRP) are likely to become increasingly attractive, given concerns about the number of trials which may not be registered and/or published. The importance of access to information from regulatory and reimbursement agencies is likely to increase. Cross-database searching, gateways or portals and improved access to full-text databases will impact on how searches are conducted and reported, as will services such as Google Scholar, Scopus and Web of Science. Technologies such as textual analysis, semantic analysis, text mining and data linkage will have a major impact on the search process but efficient and effective updating of reviews may remain a challenge.In twenty years' time, we envisage that the impact of universal social networking, as well as national and international legislation, will mean that all trials involving humans will be registered at inception and detailed trial results will be routinely available to all. Challenges will remain, however, to ensure the discoverability of relevant information in diverse and often complex sources and the availability of metadata to provide the most efficient access to information. We envisage an ongoing role for information professionals as experts in identifying new resources, researching efficient ways to link or mine them for relevant data and managing their content for the efficient production of systematic reviews. AU - Lefebvre, Carol AU - Glanville, Julie AU - Wieland, L. Susan AU - Coles, Bernadette AU - Weightman, Alison L. DA - 2013 DO - 10.1186/2046-4053-2-78 J2 - Syst Rev KW - *Databases, Bibliographic *Review Literature as Topic Abstracting and Indexing as Topic Evidence-Based Medicine Humans Information Storage and Retrieval/*methods/*standards/trends Randomized Controlled Trials as Topic Registries L1 - internal-pdf://0039848341/Lefebvre-2013-Methodological developments in s.pdf LA - eng PY - 2013 SN - 2046-4053 2046-4053 SP - 78 ST - Methodological developments in searching for studies for systematic reviews: past, present and future? T2 - Systematic reviews TI - Methodological developments in searching for studies for systematic reviews: past, present and future? UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015986/pdf/2046-4053-2-78.pdf VL - 2 ID - 76 ER - TY - CHAP A2 - Ebecken, N. F. F. A2 - Brebbia, C. A. A2 - Zanasi, A. AB - A new solution to management requirements and objectives is offered by the opportunity to access a wide range of information - gathered throughout many years of activity or coming from external sources - regarding the different aspects of corporate activity. The set-up of a correct commercial strategy, the creation of new products and services, the opening of new points of sale, and the conception of a cross-selling activity are issues that are generally faced by exploiting sector knowledge, experience and past mistakes. Innovation in new technologies and Data Mining activity do not deny traditional knowledge - which still remains essential - but combine the decisional steps with structured rules by creating a synthesis of complex and huge information heritage. In this particular situation it is important to adapt these techniques to the New Economy data and in particular to Web sites data: therefore, it is necessary to switch from the Data Warehouse to the Web Housing method and from Data Mining to Web Mining. The Web Mining method is based on Web Housing since that is where it draws the data and the meta-information from. Web Housing can be considered as a development of the Data Warehouse for e-Intelligence applications. The example mentioned in the introduction points out the methodological aspects featured in the next paragraphs: Web data quality, Web infrastructures and services management and a Web Mining-based methodological approach. AU - Mariani, P. AU - Mezzanzanica, M. AU - Verrecchia, F. PY - 2004 SN - 1-85312-806-6 SP - 625-635 ST - Methodological problems in the Web Mining field T2 - Data Mining Iv TI - Methodological problems in the Web Mining field VL - 7 ID - 2058 ER - TY - CONF AB - Systems medicine is an exciting new field which will provide effective answers to the challenges of integrating Big Data (meta analysis of datasets, multi omics, multi organs), characterize comorbidities, and building a multiscale model of human physiology. Today multi-scale and complex biomedical data are gathered and analysed in a rather simple way that in many cases misses the opportunity to uncover combinations of predictive disease profiles; always the subtle associations about comorbidities found in the meta data analysis need bioinformatics to suggest the most appropriate experimental validation. Modeling is superior to the data-mining correlative approach in transforming data into knowledge but data still should be used for parameter estimation. This is particularly true both in computational systems biology and bioengineering where mechanistic models, based on deterministic and stochastic differential equations, could be devised from biological experimental knowledge. Here the problem we encounter is of a different kind: we can observe what happens at almost all scales, from the whole organism down to the molecular level; however, putting things together in order to obtain real understanding is much more difficult and less developed. One important aspect of multi scale modeling is the homogenisation of models across multi spatial scales, which allow cell-level models (using ODE or agent based) to be systematically scaled up to the tissue/organ level, and related asymptotic techniques for the analysis of multiple timescale problems. Here the challenge is the model order reduction, i.e. to abandon high dimensional bioengineering systems in favour of the simplest mathematical model that does the job. Again the help comes from the bioinformatics analysis of the data which, leveraging on millions year evolution, describes the space of solutions explored by Nature. We discuss the powerful connection between bioinformatics and bioengineering through two case studies: the immune system response and the biomechanics of bone remodeling. Both systems provide interesting examples of Big Data, comorbidities and multi scale systems. AU - Lio, P. C3 - 6th International Conference on Bio-inspired Systems and Signal Processing. BIOSIGNALS 2013, 11-14 Feb. 2013 DA - 2013 KW - bioinformatics Biological organs biological tissues Biomechanics Biomedical engineering bone data integration data mining Differential equations Diseases Mathematical analysis meta data stochastic processes PB - INSTICC Press PY - 2013 SP - IS:23 ST - Methodologies for systems medicine: time to join the forces of bioengineering and bioinformatics T3 - Proceedings of the 6th International Conference on Bio-inspired Systems and Signal Processing. BIOSIGNALS 2013 TI - Methodologies for systems medicine: time to join the forces of bioengineering and bioinformatics ID - 1713 ER - TY - CONF AB - Many tools for data mining are complex and require skills and experience to be used successfully. Therefore, data mining is often considered an art as much as science. This paper presents some ideas on how to move forward from art to science, through the use of methodological standards and meta learning. AU - Francois, Damien C3 - 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning, ESANN 2008, April 23, 2008 - April 25, 2008 DA - 2008 KW - data mining Neural networks N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - d-side publication PY - 2008 SP - 239-246 ST - Methodology and standards for data analysis with machine learning tools T3 - ESANN 2008 Proceedings, 16th European Symposium on Artificial Neural Networks - Advances in Computational Intelligence and Learning TI - Methodology and standards for data analysis with machine learning tools ID - 1356 ER - TY - RPRT AB - The report provides a systematic review of major federal environmental legislation and regulatory programs affecting the management of air, water, land and solid waste. The legislation and regulatory programs summarized include: Clean Air Act and Amendments of 1977; Clean Water Act and Amendments of 1977; Safe Drinking Water Act; Resource Conservation and Recovery Act; Surface Mining Control and Reclamation Act; Toxic Substances Control Act; and Consolidated Permit Program. The overall goal of this report is to examine existing and future environmental regulatory programs in order that their potential impact on the development and commercialization of advanced, coal-based energy conversion systems can be recognized, assessed, and planned for. Moreover, it was determined that the analysis and interpretation of technical information and data collected during the study would be directed towards the development of a methodology by which environmental impacts could be systematically reviewed and problem areas identified. Needed research and engineering activities suggested by this approach would enable an advanced, coal-based energy conversion system to expeditiously proceed from project development through commercialization. (ERA citation 06:026813) AU - Delaney, B. T. AU - Roderique, D. D. AU - Sekulic, T. S. CY - United States DA - 1981/05// KW - Clean air act Clean water act Coal gasification Coal liquefaction Commercialization Legal aspects Permits Pollution laws Pollution regulations Resource recovery acts Reviews Surface mining acts Toxic substances control act Waste management N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 1981 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 165p ST - Methodology for Determining the Impact of Environmental Regulatory Programs. Final Report TI - Methodology for Determining the Impact of Environmental Regulatory Programs. Final Report ID - 463 ER - TY - JOUR AB - Background: DNA microarrays are popular tools for measuring gene expression of biological samples. This ever increasing popularity is ensuring that a large number of microarray studies are conducted, many of which with data publicly available for mining by other investigators. Under most circumstances, validation of differential expression of genes is performed on a gene to gene basis. Thus, it is not possible to generalize validation results to the remaining majority of non-validated genes or to evaluate the overall quality of these studies. Results: We present an approach for the global validation of DNA microarray experiments that will allow researchers to evaluate the general quality of their experiment and to extrapolate validation results of a subset of genes to the remaining non-validated genes. We illustrate why the popular strategy of selecting only the most differentially expressed genes for validation generally fails as a global validation strategy and propose random-stratified sampling as a better gene selection method. We also illustrate shortcomings of often-used validation indices such as overlap of significant effects and the correlation coefficient and recommend the concordance correlation coefficient (CCC) as an alternative. Conclusion: We provide recommendations that will enhance validity checks of microarray experiments while minimizing the need to run a large number of labour-intensive individual validation assays. AU - Miron, Mathieu AU - Woody, Owen Z. AU - Marcil, Alexandre AU - Murie, Carl AU - Sladek, Robert AU - Nadon, Robert DA - 2006/07/05/ DO - 10.1186/1471-2105-7-333 PY - 2006 SN - 1471-2105 SP - 333 ST - A methodology for global validation of microarray experiments T2 - Bmc Bioinformatics TI - A methodology for global validation of microarray experiments VL - 7 ID - 2273 ER - TY - CONF AB - This paper proposes a methodology for employing collaborative, immersive virtual environments as a high-end visualization interface for massive data-sets. The methodology employs feature detection, partitioning, summarization and decimation to significantly cull massive data-sets. These reduced data-sets are then distributed to the remote CAVEs, ImmersaDesks and desktop workstations for viewing. The paper also discusses novel techniques for collaborative visualization and meta-data creation. AU - Leigh, Jason AU - Johnson, Andrew E. AU - DeFanti, Thomas A. AU - Bailey, Stuart AU - Grossman, Robert C3 - Proceedings of the 1999 8th IEEE International Symposium on High Performance Distributed Computing - HPDC-8, August 3, 1999 - August 6, 1999 DA - 1999 KW - Computer supported cooperative work Computer workstations data mining data structures feature extraction Interfaces (computer) Virtual reality visualization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE PY - 1999 SN - 10828907 SP - 62-69 ST - Methodology for supporting collaborative exploratory analysis of massive data sets in tele-immersive environments T3 - IEEE International Symposium on High Performance Distributed Computing, Proceedings TI - Methodology for supporting collaborative exploratory analysis of massive data sets in tele-immersive environments ID - 1160 ER - TY - CONF AB - This paper proposes a methodology for employing collaborative, immersive virtual environments as a high-end visualization interface for massive data-sets. The methodology employs feature detection, partitioning, summarization and decimation to significantly cull massive data-sets. These reduced data-sets are then distributed to the remote CAVEs, ImmersaDesks and desktop workstations for viewing. The paper also discusses novel techniques for collaborative visualization and meta-data creation. AU - Leigh, J. AU - Johnson, A. E. AU - DeFanti, T. A. AU - Bailey, S. AU - Grossman, R. C3 - Proceedings. The Eighth International Symposium on High Performance Distributed Computing, 3-6 Aug. 1999 DA - 1999 DO - 10.1109/HPDC.1999.805283 KW - data mining Data reduction data visualisation feature extraction groupware meta data Virtual reality PB - IEEE Comput. Soc. PY - 1999 SP - 62-9 ST - A methodology for supporting collaborative exploratory analysis of massive data sets in tele-immersive environments T3 - Proceedings. The Eighth International Symposium on High Performance Distributed Computing (Cat. No.99TH8469) TI - A methodology for supporting collaborative exploratory analysis of massive data sets in tele-immersive environments UR - http://dx.doi.org/10.1109/HPDC.1999.805283 ID - 1467 ER - TY - JOUR AB - BACKGROUND: Streptococcus pneumoniae causes a considerable amount of morbidity and mortality in children <5. However, pneumococcal conjugate vaccines (PCVs) can prevent much of this burden. Until recently, PCVs were mostly available only in developed countries using a variety of dosing schedules. As more lower income countries make decisions to introduce PCV into their national immunization programs, an optimal schedule with which to administer PCV has become a key policy question. METHODS: We performed a systematic review of English literature published from 1994 to 2010 on the effects of PCV dosing schedules on immunogenicity, nasopharyngeal carriage, invasive pneumococcal disease and pneumonia. Data were independently double abstracted and cleaned for analysis. Descriptive analyses were performed. RESULTS: We identified 12,980 citations from the literature search (12,976) and secondary means (44). Double review of titles and abstracts yielded 769 articles that underwent full data abstraction. Of these, 350 were further analyzed and are presented in separate reports in this supplement. CONCLUSIONS: This article presents the methods utilized in our systematic review. Because of the heterogenity of the study methods of the reports identified by this review, we did not conduct formal meta-analyses. However, these methods allow us to present a full landscape of the literature on PCV dosing schedules. AU - Loo, Jennifer D. AU - Conklin, Laura AU - Deloria Knoll, Maria AU - Fleming-Dutra, Katherine E. AU - Park, Daniel E. AU - Kirk, Jennifer AU - Johnson, T. Scott AU - Goldblatt, David AU - O'Brien, Katherine L. AU - Whitney, Cynthia G. DA - 2014/01//undefined DO - 10.1097/INF.0000000000000085 J2 - Pediatr Infect Dis J KW - *Immunization Schedule Child, Preschool Data Mining/*methods Humans Infant Pneumococcal Infections/*prevention & control Pneumococcal Vaccines/*administration & dosage Vaccines, Conjugate/administration & dosage LA - eng PY - 2014 SN - 1532-0987 0891-3668 SP - S182-187 ST - Methods for a systematic review of pneumococcal conjugate vaccine dosing schedules T2 - The Pediatric infectious disease journal TI - Methods for a systematic review of pneumococcal conjugate vaccine dosing schedules VL - 33 Suppl 2 ID - 69 ER - TY - JOUR AB - The quality of data in public health information systems can be ensured by effective data quality assessment. In order to conduct effective data quality assessment, measurable data attributes have to be precisely defined. Then reliable and valid measurement methods for data attributes have to be used to measure each attribute. We conducted a systematic review of data quality assessment methods for public health using major databases and well-known institutional websites. 35 studies were eligible for inclusion in the study. A total of 49 attributes of data quality were identified from the literature. Completeness, accuracy and timeliness were the three most frequently assessed attributes of data quality. Most studies directly examined data values. This is complemented by exploring either data users' perception or documentation quality. However, there are limitations of current data quality assessment methods: a lack of consensus on attributes measured; inconsistent definition of the data quality attributes; a lack of mixed methods for assessing data quality; and inadequate attention to reliability and validity. Removal of these limitations is an opportunity for further improvement. AU - Chen, Hong AU - Yu, Ping AU - Hailey, David AU - Wang, Ning DA - 2014 J2 - Stud Health Technol Inform KW - Databases, Factual/*standards Data Mining/methods/*standards/statistics & numerical data Guideline Adherence/statistics & numerical data Guidelines as Topic Health Information Systems/*standards/*statistics & numerical data Internationality Public Health Informatics/standards Quality Assurance, Health Care/*methods/standards Research Design/*standards/*statistics & numerical data LA - eng PY - 2014 SN - 0926-9630 0926-9630 SP - 13-18 ST - Methods for assessing the quality of data in public health information systems: a critical review T2 - Studies in health technology and informatics TI - Methods for assessing the quality of data in public health information systems: a critical review VL - 204 ID - 87 ER - TY - JOUR AB - Rapid technological advances have led to the production of different types of biological data and enabled construction of complex networks with various types of interactions between diverse biological entities. Standard network data analysis methods were shown to be limited in dealing with such heterogeneous networked data and consequently, new methods for integrative data analyses have been proposed. The integrative methods can collectively mine multiple types of biological data and produce more holistic, systems-level biological insights. We survey recent methods for collective mining (integration) of various types of networked biological data. We compare different state-of-the-art methods for data integration and highlight their advantages and disadvantages in addressing important biological problems. We identify the important computational challenges of these methods and provide a general guideline for which methods are suited for specific biological problems, or specific data types. Moreover, we propose that recent non-negative matrix factorization-based approaches may become the integration methodology of choice, as they are well suited and accurate in dealing with heterogeneous data and have many opportunities for further development. AU - Gligorijevic, Vladimir AU - Przulj, Natasa DA - 2015/11/06/ DO - 10.1098/rsif.2015.0571 IS - 112 J2 - J R Soc Interface KW - *Automatic Data Processing *Databases, Factual *Models, Theoretical biological networks data fusion heterogeneous data integration non-negative matrix factorization omics data Systems Biology L1 - internal-pdf://0455843485/Gligorijevic-2015-Methods for biological data.pdf LA - eng PY - 2015 SN - 1742-5662 1742-5662 ST - Methods for biological data integration: perspectives and challenges T2 - Journal of the Royal Society, Interface / the Royal Society TI - Methods for biological data integration: perspectives and challenges UR - http://rsif.royalsocietypublishing.org/content/royinterface/12/112/20150571.full.pdf VL - 12 ID - 359 ER - TY - JOUR AB - Meta-analyses are methods to combine outcomes from different studies to investigate consistent effects of relatively small magnitude, which are difficult to distinguish from random variation within a single study. Several published meta-analyses addressed whether organic and conventional production methods affect the composition of plant foods differently. The meta-analyses were carried out using different options for the methodology and resulted in different conclusions. The types of designs of field trials and farm comparisons widely used in horticultural and agronomic research differ substantially from the clinical trials and epidemiological studies that most meta-analysis methodologies were developed for. Therefore, it is proposed that a systematic review and meta-analysis be carried out with the aim of developing a consolidated methodology. If successful, this methodology can then be used to determine effects of different production systems on plant food composition as well as other comparable factors with small but systematic effects across studies. AU - Brandt, Kirsten AU - Srednicka-Tober, Dominika AU - Baranski, Marcin AU - Sanderson, Roy AU - Leifert, Carlo AU - Seal, Chris DA - 2013/07/31/ DO - 10.1021/jf4008967 IS - 30 J2 - J Agric Food Chem KW - *Agriculture *Food Analysis Crops, Agricultural/*chemistry/*growth & development Data Mining/*methods Food Quality L1 - internal-pdf://1486222842/Brandt-2013-Methods for comparing data across.pdf LA - eng PY - 2013 SN - 1520-5118 0021-8561 SP - 7173-7180 ST - Methods for comparing data across differently designed agronomic studies: examples of different meta-analysis methods used to compare relative composition of plant foods grown using organic or conventional production methods and a protocol for a systematic review T2 - Journal of agricultural and food chemistry TI - Methods for comparing data across differently designed agronomic studies: examples of different meta-analysis methods used to compare relative composition of plant foods grown using organic or conventional production methods and a protocol for a systematic review UR - http://pubs.acs.org.ezproxy.lib.vt.edu/doi/pdfplus/10.1021/jf4008967 VL - 61 ID - 11 ER - TY - CONF AB - We describe an interactive system, built within the context of CLiMB project, which permits a user to locate the occurrences of named entities within a given text. The named entity tool was developed to identify references to a single art object (e.g. a particular building) with high precision in text related to images of that object in a digital collection. We start with an authoritative list of art objects, and seek to match variants of these named entities in related text. Our approach is to "decay" entities into progressively more general variants while retaining high precision. As variants become more general, and thus more ambiguous, we propose methods to disambiguate intermediate results. Our results are used to select records into which automatically generated metadata are loaded. AU - Davis, P. T. AU - Elson, D. K. AU - Klavans, J. L. C3 - Proceedings 2003 Joint Conference on Digital Libraries, 27-31 May 2003 DA - 2003 KW - art Computational linguistics data mining Digital Libraries image retrieval interactive systems meta data text analysis PB - IEEE Comput. Soc. PY - 2003 SP - 125-7 ST - Methods for precise named entity matching in digital collections T3 - Proceedings 2003 Joint Conference on Digital Libraries TI - Methods for precise named entity matching in digital collections ID - 1201 ER - TY - JOUR AB - Plasma is a rich mine of various biomarkers including proteins, metabolites and circulating nucleic acids. The diagnostic and therapeutic potential of these analytes has been quite recently uncovered, and the number of plasma biomarkers will still be growing in the coming years. A significant part of the blood plasma preparation is still handled manually, off-chip, via centrifugation or filtration. These batch methods have variable waiting times, and are often performed under non-reproducible conditions that may impair the collection of analytes of interest, with variable degradation. The development of miniaturised modules capable of automated and reproducible blood plasma separation would aid in the translation of lab-on-achip devices to the clinical market. Here we propose a systematic review of major plasma analytes and target applications, alongside existing solutions for micro-scale blood plasma extraction, focusing on the approaches that have been biologically validated for specific applications. AU - Kersaudy-Kerhoas, M. AU - Sollier, E. DA - 2013/09/07/ DO - 10.1039/c3lc50432h IS - 17 J2 - Lab on a Chip KW - Biochemistry biological specimen preparation Blood lab-on-a-chip molecular biophysics Proteins Reviews separation L1 - internal-pdf://0575705360/Kersaudy-Kerhoa-2013-Micro-scale blood plasma.pdf PY - 2013 SN - 1473-0197 SP - 3323-46 ST - Micro-scale blood plasma separation: from acoustophoresis to egg-beaters T2 - Lab on a Chip TI - Micro-scale blood plasma separation: from acoustophoresis to egg-beaters UR - http://dx.doi.org/10.1039/c3lc50432h http://pubs.rsc.org/en/content/articlepdf/2013/lc/c3lc50432h VL - 13 ID - 510 ER - TY - JOUR AB - The genome-wide role of heterotrimeric G-proteins in abiotic stress response in rice has not been examined from a functional genomics perspective, despite the availability of mutants and evidences involving individual genes/processes/stresses. Our rice whole transcriptome microarray analysis (GSE 20925 at NCBI GEO) using the G-alpha subunit (RGA1) null mutant (Daikoku 1 or dl) and its corresponding wild type (Oryza sativa Japonica Nipponbare) identified 2270 unique differentially expressed genes (DEGs). Out of them, we mined for all the potentially abiotic stress-responsive genes using Gene Ontology terms, STIFDB2.0 and Rice DB. The first two approaches produced smaller subsets of the 1886 genes found at Rice DB. The GO approach revealed similar regulation of several families of stress-responsive genes in RGA1 mutant. The Genevestigator analysis of the stress-responsive subset of the RGA1-regulated genes from STIFDB revealed cold and drought-responsive clusters. Meta data analysis at Rice DB revealed large stress-response categories such as cold (878 up/810 down), drought (882 up/837 down), heat (913 up/777 down), and salt stress (889 up/841 down). One thousand four hundred ninety-eight of them are common to all the four abiotic stresses, followed by fewer genes common to smaller groups of stresses. The RGA1-regulated genes that uniquely respond to individual stresses include 111 in heat stress, eight each in cold only and drought only stresses, and two genes in salt stress only. The common DEGs (1498) belong to pathways such as the synthesis of polyamine, glycine-betaine, proline, and trehalose. Some of the common DEGs belong to abiotic stress signaling pathways such as calcium-dependent pathway, ABA independent and dependent pathway, and MAP kinase pathway in the RGA1 mutant. Gene ontology of the common stress responsive DEGs revealed 62 unique molecular functions such as transporters, enzyme regulators, transferases, hydrolases, carbon and protein metabolism, binding to nucleotides, carbohydrates, receptors and lipids, morphogenesis, flower development, and cell homeostasis. We also mined 63 miRNAs that bind to the stress responsive transcripts identified in this study, indicating their post-transcriptional regulation. Overall, these results indicate the potentially extensive role of RGA1 in the regulation of multiple abiotic stresses in rice for further validation. AU - Jangam, Annie P. AU - Pathak, Ravi R. AU - Raghuram, Nandula DA - 2016/01/28/ DO - 10.3389/fpls.2016.00011 L1 - internal-pdf://3443299142/Jangam-2016-Microarray Analysis of Rice d1 (RG.pdf PY - 2016 SN - 1664-462X SP - 11 ST - Microarray Analysis of Rice d1 (RGA1) Mutant Reveals the Potential Role of G-Protein Alpha Subunit in Regulating Multiple Abiotic Stresses Such as Drought, Salinity, Heat, and Cold T2 - Frontiers in Plant Science TI - Microarray Analysis of Rice d1 (RGA1) Mutant Reveals the Potential Role of G-Protein Alpha Subunit in Regulating Multiple Abiotic Stresses Such as Drought, Salinity, Heat, and Cold UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4729950/pdf/fpls-07-00011.pdf VL - 7 ID - 2154 ER - TY - JOUR AB - Data mining published microarray experiments require that expression profiles are directly comparable. We performed linear global normalization on the data of 1967 Affymetrix U74av2 microarrays, i.e. the transcriptomes of >100 murine tissues or cell types. The mathematical transformation effectively nullifies inter-experimental or inter-laboratory differences between microarrays. The correctness of expression values was validated by quantitative RT-PCR. Using the database we analyze components of the aryl hydrocarbon receptor (AHR) signaling pathway in various tissues. We identified lineage and differentiation specific variant expression of AHR, ARNT, and HIF1alpha in the T-cell lineage and high expression of CYP1A1 in immature B cells and dendritic cells. Performing co-expression analysis we found unorthodox expression of the AHR in the absence of ARNT, particularly in stem cell populations, and can reject the hypothesis that ARNT2 takes over and is highly expressed when ARNT expression is low or absent. Furthermore the AHR shows no co-expression with any other transcript present on the chip. Analysis of differential gene expression under 308 conditions revealed 53 conditions under which the AHR is regulated, numerous conditions under which an intrinsic AHR action is modified as well as conditions activating the AHR even in the absence of known AHR ligands. Thus meta-analysis of published expression profiles is a powerful tool to gain novel insights into known and unknown systems. AU - Frericks, Markus AU - Meissner, Marc AU - Esser, Charlotte DA - 2007/05/01/ DO - 10.1016/j.taap.2007.01.014 IS - 3 J2 - Toxicol Appl Pharmacol KW - *Gene Expression Profiling Animals Cell Lineage/genetics HSP90 Heat-Shock Proteins/genetics Humans Male Mice Mice, Inbred C57BL Oligonucleotide Array Sequence Analysis/*methods Receptors, Aryl Hydrocarbon/*genetics Reproducibility of results Reverse Transcriptase Polymerase Chain Reaction/methods Signal Transduction/*genetics Tissue Array Analysis T-Lymphocytes/cytology/metabolism L1 - internal-pdf://3755258196/Frericks-2007-Microarray analysis of the AHR s.pdf LA - eng PY - 2007 SN - 0041-008X 0041-008X SP - 320-332 ST - Microarray analysis of the AHR system: tissue-specific flexibility in signal and target genes T2 - Toxicology and applied pharmacology TI - Microarray analysis of the AHR system: tissue-specific flexibility in signal and target genes UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0041008X07000440/1-s2.0-S0041008X07000440-main.pdf?_tid=8bb9886e-8335-11e6-a3d1-00000aacb35d&acdnat=1474817848_622d023280887bf9dc62b668a6a61671 VL - 220 ID - 330 ER - TY - JOUR AB - Microarray technology is expanding rapidly providing an extensive as well as promising source of data for better addressing complex questions involving biological processes. The ever increasing number and publicly available gene expression studies of human and other organisms provide strong motivation to carry out cross-study analyses. Besides, microarray technology provides several platforms to investigators that include arrays from commercial vendors like Affymetrix (R) (Santa Clara, CA, USA), Agilent (R) (Palo Alto, CA, USA), and other proprietorial arrays of various laboratories. Integration of multiple studies that are based on the same technological platform, or, combining data from different array platforms carries the potential towards higher accuracy, consistency and robust information mining. The integrated result often allows constructing a more complete and broader picture. In this work, we highlight as well as exemplify two frameworks of microarray data integration approaches that are in practice. This follows a discussion on the important issues that may influence any microarray data integration attempt. The review, in general, intends to serve as a starting point for those interested in exploring this area of microarray study, while realizing the pertinent issues underneath. AU - Sarmah, Chintanu Kumar AU - Samarasinghe, Sandhya DA - 2010/12// IS - 4 PY - 2010 SN - 1574-8936 SP - 280-289 ST - Microarray Data Integration: Frameworks and a List of Underlying Issues T2 - Current Bioinformatics TI - Microarray Data Integration: Frameworks and a List of Underlying Issues VL - 5 ID - 2290 ER - TY - JOUR AU - Quackenbush, John DA - 2002 DP - Google Scholar L1 - http://web.cs.mun.ca/~harold/Courses/Old/CS6754.W04/Diary/ng1032.pdf PY - 2002 SP - 496-501 ST - Microarray data normalization and transformation T2 - Nature genetics TI - Microarray data normalization and transformation UR - http://www.nature.com/ng/journal/v32/n4s/full/ng1032.html http://status.nature.com/ VL - 32 Y2 - 2016/09/24/16:02:05 ID - 2402 ER - TY - JOUR AB - The Microarray Explorer (MAExplorer) is a versatile Java-based data mining bioinformatic tool for analyzing quantitative cDNA expression profiles across multiple microarray platforms and DNA labeling systems. It may be run as either a stand-alone application or as a Web browser applet over the Internet, With this program it is possible to (i) analyze the expression of individual genes, (ii) analyze the expression of gene families and clusters, (iii) compare expression patterns and (iv) directly access other genomic databases for clones of interest. Data may be downloaded as required from a Web server or in the case of the stand-alone version, reside on the user's computer, Analyses are performed in real-time and maybe viewed and directly manipulated in images, reports,: scatter plots, histograms, expression profile plots and cluster analyses plots, A key feature is the clone data filter for constraining a working set of clones to those passing a variety of user-specified logical and statistical tests. Reports may be generated with hypertext Web access to UniGene, GenBank and other Internet databases for sets of clones found to be Of interest. Users may save their explorations on the Web Server or local computer and later recall or share them with other scientists in this groupware Web environment. The emphasis on direct manipulation of clones and sets of clones in graphics and tables provides a high level of interaction with the data, making it easier for investigators to test ideas when looking for patterns, We have used the MAExplorer to profile gene expression patterns of 1500 duplicated genes isolated from mouse mammary tissue. We have identified genes that are preferentially expressed during pregnancy and during lactation. One gene we identified, carbonic anhydrase III, is highly expressed in mammary tissue from virgin and pregnant mice and in. gene knock-out mice with underdeveloped mammary epithelium, Other genes, which include those encoding milk proteins, are preferentially expressed during lactation. MAExplorer may be accessed at http://www.lecb.ncifcrf.gov.MAExplorer. AU - Lemkin, P. F. AU - Thornwall, G. C. AU - Walton, K. D. AU - Hennighausen, L. DA - 2000/11/15/ DO - 10.1093/nar/28.22.4452 IS - 22 L1 - internal-pdf://3009322637/Lemkin-2000-The microarray explorer tool for d.pdf PY - 2000 SN - 0305-1048 SP - 4452-4459 ST - The microarray explorer tool for data mining of cDNA microarrays: application for the mammary gland T2 - Nucleic Acids Research TI - The microarray explorer tool for data mining of cDNA microarrays: application for the mammary gland UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC113879/pdf/gkd644.pdf VL - 28 ID - 2022 ER - TY - JOUR AB - Plants are exposed to a wide range of abiotic stresses (AS), which often occur in combination. Because physiological investigations typically focus on one stress, our understanding of unspecific stress responses remains limited. The plant redox homeostasis, i.e., the production and removal of reactive oxygen species (ROS), may be involved in many environmental stress conditions. Therefore, this study intended to identify genes, which are activated in diverse AS, focusing on ROS-related pathways. We conducted a meta-analysis (MA) of microarray experiments, focusing on rice. Transcriptome data were mined from public databases and fellow researchers, which represented 36 different experiments and investigated diverse AS, including ozone stress, drought, heat, cold, salinity, and mineral deficiencies/toxicities. To overcome the inherent artifacts of different MA methods, data were processed using Fisher, rOP, REM, and product of rank (GeneSelector), and genes identified by most approaches were considered as shared differentially expressed genes (DEGs). Two MA strategies were adopted: first, datasets were separated into shoot, root, and seedling experiments, and these tissues were analyzed separately to identify shared DEGs. Second, shoot and seedling experiments were classed into oxidative stress (OS), i.e., ozone and hydrogen peroxide treatments directly producing ROS in plant tissue, and other AS, in which ROS production is indirect. In all tissues and stress conditions, genes a priori considered as ROS-related were overrepresented among the DEGs, as they represented 4% of all expressed genes but 7-10% of the DEGs. The combined MA approach was substantially more conservative than individual MA methods and identified 1001 shared DEGs in shoots, 837 shared DEGs in root, and 1172 shared DEGs in seedlings. Within the OS and AS groups, 990 and 1727 shared DEGs were identified, respectively. In total, 311 genes were shared between OS and AS, including many regulatory genes. Combined co-expression analysis identified among those a cluster of 42 genes, many involved in the photosynthetic apparatus and responsive to drought, iron deficiency, arsenic toxicity, and ozone. Our data demonstrate the importance of redox homeostasis in plant stress responses and the power of MA to identify candidate genes underlying unspecific signaling pathways. AU - Neto, Joao B. de Abreu AU - Frei, Michael DA - 2016/01/12/ DO - 10.3389/fpls.2015.01260 PY - 2016 SN - 1664-462X SP - 1260 ST - Microarray Meta-Analysis Focused on the Response of Genes Involved in Redox Homeostasis to Diverse Abiotic Stresses in Rice T2 - Frontiers in Plant Science TI - Microarray Meta-Analysis Focused on the Response of Genes Involved in Redox Homeostasis to Diverse Abiotic Stresses in Rice VL - 6 ID - 1889 ER - TY - JOUR AB - Acid mine drainage (AMD) is a unique ecological niche for acid- and toxic metals-adapted microorganisms. These low-complexity systems offer a special opportunity for the ecological and evolutionary analyses of natural microbial assemblages. The last decade has witnessed an unprecedented interest in the study of AMD communities using 16S rRNA high-throughput sequencing and community genomic and postgenomic methodologies, significantly advancing our understanding of microbial diversity, community function, and evolution in acidic environments. This review describes new data on AMD microbial ecology and evolution, especially dynamics of microbial diversity, community functions, and population genomes, and further identifies gaps in our current knowledge that future research, with integrated applications of meta-omics technologies, will fill. AU - Huang, Li-Nan AU - Kuang, Jia-Liang AU - Shu, Wen-Sheng DA - 2016/07// DO - 10.1016/j.tim.2016.03.004 IS - 7 L1 - internal-pdf://0707255825/Huang-2016-Microbial Ecology and Evolution in.pdf PY - 2016 SN - 0966-842X SP - 581-593 ST - Microbial Ecology and Evolution in the Acid Mine Drainage Model System T2 - Trends in Microbiology TI - Microbial Ecology and Evolution in the Acid Mine Drainage Model System UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0966842X1600072X/1-s2.0-S0966842X1600072X-main.pdf?_tid=158f2a6c-833b-11e6-bae2-00000aab0f6c&acdnat=1474820227_14dadc7dd344462838f10eccef63d43a VL - 24 ID - 2168 ER - TY - JOUR AB - The low molecular weight hapten, Ochratoxin A (OTA), is a natural carcinogenic mycotoxin produced by Aspergillus and Penicillium fungi and so it commonly appears in wines, other foods, and in the environment. An amperometric biosensor has been developed that uses the immobilized synthetic peptide, NFO4; which possesses a high binding affinity and thus provides for molecular recognition of OTA; simulating the mycotoxin-specific antibody. Biotransducers were produced from a microlithographically fabricated electrochemical cell-on-a-chip that uses the microdisc electrode array working electrode format augmented with microporous graphitized carbon (MGC) that was electrodeposited within a poly(aniline-co-meta-aminoaniline) electroconductive polymer layer. A redox mediator, iron-nickel hexacyanoferrate (Fe|NiHCF) was amperometrically deposited onto the MGC. The device was then dip-coated with monomer cocktail that yielded poly(HEMA-co-AEMA) foam that was prepared in-situ by UV crosslinking and by sequentially freezing followed by freeze drying of the chip to yield a 3-D support for the chelation of Zn2+ions (ZnCl2) and the subsequent immobilization of N-terminus his-tagged peptide, NFO4. To conduct the biosensors assay, HRP conjugated OTA was added to the free OTA solutions and together competitively incubated on the biospecific MDEA ECC 5037-Pt|MGC|HCF|Hydrogel-NFO4 biotransducer. The amperometric response to peroxide was determined after 5min of enzymatic reaction following addition of standard substrate H2O2/luminol. Simultaneous analysis of light emission signals (max=425nm) allowed direct comparison of amperometric and luminescence performance. Using chitosan foam and a luminescence bioassay we obtained maximum inhibition at 10gL-1and half inhibition occurred at 2.1gL-1. Using poly(HEMA-co-AEMA) hydrogel and an amperometric bioassay (50s) we obtained maximum inhibition at 10gL-1and half inhibition occurred at 2.8gL-1. 2016. AU - Tria, Scherrine A. AU - Lopez-Ferber, David AU - Gonzalez, Catherine AU - Bazin, Ingrid AU - Guiseppi-Elie, Anthony DA - 2016 DO - 10.1016/j.bios.2016.01.018 J2 - Biosensors and Bioelectronics KW - Binding energy Bioassay Biosensors Carbon Conducting polymers Electrochemical electrodes Electrodes Hydrogels Luminescence Peptides N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 09565663 SP - 835-842 ST - Microfabricated biosensor for the simultaneous amperometric and luminescence detection and monitoring of Ochratoxin A T2 - Biosensors and Bioelectronics TI - Microfabricated biosensor for the simultaneous amperometric and luminescence detection and monitoring of Ochratoxin A UR - http://dx.doi.org/10.1016/j.bios.2016.01.018 VL - 79 ID - 580 ER - TY - JOUR AB - The discovery that the human genome codes for thousands (if not millions) of previously unrecognized non-protein coding RNAs with regulatory functions has changed our understanding of many physiological and pathological processes. A prominent class of non-coding RNAs with important functions in cancer initiation and progression comprised by very short single-stranded, mRNA translation modulating RNAs, termed microRNAs. The determination of microRNA expression profiles is now widely used in biology and pathology, employing a range of methodologies. A steadily growing number of studies describe the analysis of formalin-fixed paraffin-embedded, so-called "archival" specimens. However, procedures for data processing and calculations are far from standardized and differ considerably between published studies, making comparisons and meta-analyses still quite difficult. In this review, we provide a short overview of profiling methods used for archival samples and describe in detail a modified method for normalization and processing of raw data obtained by fluorescence-labeled bead technology from Luminex.Inc. AU - Streichert, Thomas AU - Otto, Benjamin AU - Lehmann, Ulrich DA - 2012/02//undefined DO - 10.1007/s12033-011-9427-1 IS - 2 J2 - Mol Biotechnol KW - *Biological Specimen Banks Data Interpretation, Statistical data mining Formaldehyde Gene Expression Profiling/*methods Humans MicroRNAs/*analysis/*genetics Oligonucleotide Array Sequence Analysis/methods Paraffin Embedding Principal Component Analysis Tissue Fixation/methods LA - eng PY - 2012 SN - 1559-0305 1073-6085 SP - 159-169 ST - MicroRNA expression profiling in archival tissue specimens: methods and data processing T2 - Molecular biotechnology TI - MicroRNA expression profiling in archival tissue specimens: methods and data processing VL - 50 ID - 217 ER - TY - CONF AB - The article summarizes recent research into data-mining techniques that are in progress at Stanford: 1. The Google search engine: beating Yahoo et al. at their own game. 2. Query flocks: generalizing association rules/market baskets in a query precompiler that uses a relational DBMS effectively. 3. Synthesizing knowledge from the Web: exploiting the Web's redundancy to extract data automatically. 4. Detecting low-frequency events: unlike marketing, where you only care about items that lots of people buy, extracting intelligence from text usually requires looking for a small number of unexpected juxtapositions of terms. AU - Ullman, J. D. C3 - IDEAS '99. International Database Engineering and Applications Symposium, 2-4 Aug. 1999 DA - 1999 DO - 10.1109/IDEAS.1999.787298 KW - data mining Information Resources query processing relational databases research initiatives Search Engines PB - IEEE Comput. Soc. PY - 1999 SP - 460-4 ST - The MIDAS data-mining project at Stanford T3 - Proceedings. IDEAS'99. International Database Engineering and Applications Symposium (Cat. No.PR00265) TI - The MIDAS data-mining project at Stanford UR - http://dx.doi.org/10.1109/IDEAS.1999.787298 ID - 1754 ER - TY - JOUR AB - BACKGROUND: Despite considerable efforts within the microarray community for standardising data format, content and description, microarray technologies present major challenges in managing, sharing, analysing and re-using the large amount of data generated locally or internationally. Additionally, it is recognised that inconsistent and low quality experimental annotation in public data repositories significantly compromises the re-use of microarray data for meta-analysis. MiMiR, the Microarray data Mining Resource was designed to tackle some of these limitations and challenges. Here we present new software components and enhancements to the original infrastructure that increase accessibility, utility and opportunities for large scale mining of experimental and clinical data. RESULTS: A user friendly Online Annotation Tool allows researchers to submit detailed experimental information via the web at the time of data generation rather than at the time of publication. This ensures the easy access and high accuracy of meta-data collected. Experiments are programmatically built in the MiMiR database from the submitted information and details are systematically curated and further annotated by a team of trained annotators using a new Curation and Annotation Tool. Clinical information can be annotated and coded with a clinical Data Mapping Tool within an appropriate ethical framework. Users can visualise experimental annotation, assess data quality, download and share data via a web-based experiment browser called MiMiR Online. All requests to access data in MiMiR are routed through a sophisticated middleware security layer thereby allowing secure data access and sharing amongst MiMiR registered users prior to publication. Data in MiMiR can be mined and analysed using the integrated EMAAS open source analysis web portal or via export of data and meta-data into Rosetta Resolver data analysis package. CONCLUSION: The new MiMiR suite of software enables systematic and effective capture of extensive experimental and clinical information with the highest MIAME score, and secure data sharing prior to publication. MiMiR currently contains more than 150 experiments corresponding to over 3000 hybridisations and supports the Microarray Centre's large microarray user community and two international consortia. The MiMiR flexible and scalable hardware and software architecture enables secure warehousing of thousands of datasets, including clinical studies, from microarray and potentially other -omics technologies. AU - Tomlinson, Chris AU - Thimma, Manjula AU - Alexandrakis, Stelios AU - Castillo, Tito AU - Dennis, Jayne L. AU - Brooks, Anthony AU - Bradley, Thomas AU - Turnbull, Carly AU - Blaveri, Ekaterini AU - Barton, Geraint AU - Chiba, Norie AU - Maratou, Klio AU - Soutter, Pat AU - Aitman, Tim AU - Game, Laurence DA - 2008 DO - 10.1186/1471-2105-9-379 J2 - BMC Bioinformatics KW - *Database Management Systems *Microarray Analysis/methods/utilization *User-Computer Interface Information Dissemination/methods Information Storage and Retrieval/*methods Internet/organization & administration Research Design LA - eng PY - 2008 SN - 1471-2105 1471-2105 SP - 379 ST - MiMiR--an integrated platform for microarray data sharing, mining and analysis T2 - BMC bioinformatics TI - MiMiR--an integrated platform for microarray data sharing, mining and analysis VL - 9 ID - 323 ER - TY - JOUR AB - Mining projects must have adequate closure plan, aimed at rehabilitation of disturbed area, which should be acceptable to local community as well as regulatory authority. A holistic or integrated mine closure plans are always coupled with systematic reviews and provide a comprehensive final closure document or system. Mine closure planning provides a conceptual framework that guides a mining project through the life cycle of the operation from pre-feasibility to site decommissioning and abandonment. An active care closure plan is one where, following the end of primary reclamation activities, there is still an on-going requirement for continual or regular operation, maintenance or monitoring. The mine closure plan identifies the actions to be taken systematically for the best results after mine closure. This involves assessment of impacts of mine closure, identification of engineering problems and determination of their solutions as well as developing practical operational competencies. AU - Pathak, Khanindra DA - 2011 IS - 9 J2 - Journal of Mines, Metals and Fuels KW - Energy resources Geotechnical engineering Plant shutdowns N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 00222755 SP - 261-273+278 ST - Mine closure planning: Concepts and concerns T2 - Journal of Mines, Metals and Fuels TI - Mine closure planning: Concepts and concerns VL - 59 ID - 896 ER - TY - JOUR AU - Netzer, Oded AU - Feldman, Ronen AU - Goldenberg, Jacob AU - Fresko, Moshe DA - 2012 DP - Google Scholar IS - 3 L1 - http://www1.idc.ac.il/Faculty/jgoldenberg/pdf/Mine%20your%20own.pdf PY - 2012 SP - 521-543 ST - Mine your own business T2 - Marketing Science TI - Mine your own business: Market-structure surveillance through text mining UR - http://pubsonline.informs.org/doi/abs/10.1287/mksc.1120.0713 VL - 31 Y2 - 2016/09/24/15:36:22 ID - 2342 ER - TY - CONF AB - Upper Paleozoic aged metamorphic rocks, which consist of micaschist, phyllite, metasandstone, marbles, meta dolomitic limestones were located at the basement. Upper Cretaceous ultrabasics have been overturned upon the Paleozoic metamorphic rocks. The Late Upper Cretaceous plutonic rocks are unconformably overlain by the Late Miocene-Early Pliocene volcanics, volcanism composed mainly tuffs and minor amount of volcanic breccia, agglomerate, trachyte and trachyandesitic lava flows and lacustrine volcano-sedimentary rocks. The volcano-sedimentary rocks generally composed of clastic, clayey, calcareous rocks (dolomitic and calcitic), tuffceous, evaporitic and silicified sediments. Mineralogic and geochemical properties of Neogene aged sedimentary units were investigated along from fourteen stratigraphic sections. Dolomite and dolomite+sepiolite are found in the bottom layers while calcite+dolomite and mainly calcite occur in the upper layers. In addition to carbonate minerals, some clay and nonclay minerals are determined, generally in the middle layers of some sections. Non clay minerals are mainly quartz, feldspar and gypsum. Palygorskite, smectite (montmorillonite and) saponite and illite minerals are other clay minerals that are found in less quantity. Brown, pale brown and white sepiolite types were defined by means of colour. XRD, chemical analysis, SEM and EDS were made in all samples, and also 18O and 13C isotope analysis of calcite and dolomite were made. Mineralogic composition, REE, TRTE, HFS and LIL element content of different stratigraphic section were determined. Mineralogic composition was generally controlled by major element content. Sepiolite content of the sections are controlled by generally SiO2, detrital mineral and partly MgO content. The composition of most calcites and dolomites are relatively homogeneous and low-Mg or high-Ca to near stoichiometry (3.029d104A3.033) and (2.895d104A2.903), respectively. REE, LIL, HFS, TRT elements generally present strongly positive correlation to each other and also LIL and REE element show strongly positive correlation to Al2O3, while SiO2 Al2O3and have strongly negative or moderately negative to CaO and MgO. LREE elements were enriched to HREEs. The depositional conditions were a shallow, quiet, perennial lacustrine and partly fluviative influx basin with fresh to slightly saline and slightly alkaline water chemistry. REE, TRTE, HFS elements indicate that sepiolites and carbonate minerals formed from felsic source rocks. AU - Karakaya, Muazzez Celik AU - Karakaya, Necati C3 - 8th International Scientific Conference on Modern Management of Mine Producing, Geology and Environmental Protection, SGEM 2008, June 16, 2008 - June 20, 2008 DA - 2008 KW - Calcite Carbonate minerals Clay minerals Electromagnetic launchers Environmental management Environmental protection Geochemistry Geochronology Isotopes Magnesia Metamorphic rocks Quartz Sedimentary rocks Sedimentology Stratigraphy Volcanoes N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Multidisciplinary Scientific Geoconference PY - 2008 SP - 139-147 ST - Mineralogic and geochemical features of Neogene aged sedimentary units of Polatli, sw Ankara (Turkey) T3 - 8th International Scientific Conference on Modern Management of Mine Producing, Geology and Environmental Protection, SGEM 2008 TI - Mineralogic and geochemical features of Neogene aged sedimentary units of Polatli, sw Ankara (Turkey) VL - 1 ID - 469 ER - TY - CHAP A2 - Tannapfel, A. AB - The term asbestos collectively refers to a group of naturally occurring fibrous minerals which have been exploited in numerous commercial and industrial settings and applications dating to antiquity. Its myriad uses as a "miracle mineral" owe to its remarkable properties of extreme resistance to thermal and chemical breakdown, tensile strength, and fibrous habit which allows it to be spun and woven into textiles. Abundant in nature, it has been mined considerably, and in all continents save Antarctica. The nomenclature concerning asbestos and its related species is complex, owing to the interest held therein by scientific disciplines such as geology, mineralogy and medicine, as well as legal and regulatory authorities. As fibrous silicates, asbestos minerals are broadly classified into the serpentine (chrysotile) and amphibole (crocidolite, amosite, tremolite, anthophyllite, actinolite) groups, both of which may also contain allied but nonfibrous forms of similar or even identical chemical composition, nonpathogenic to humans. Recently, fibrous amphiboles, not historically classified or regulated as asbestos (winchite, richterite), have been implicated in the causation of serious disease due to their profusion as natural contaminants of vermiculite, a commercially useful and nonfibrous silicate mineral. Although generally grouped, classified, and regulated collectively as asbestos, the serpentine and amphibole groups have different geologic occurrences and, more importantly, significant differences in crystalline structures and chemical compositions. These in turn impart differences in fiber structure and dimension, as well as biopersistence, leading to marked differences in relative potency for causing disease in humans for the group of minerals known as asbestos. AU - Sporn, Thomas A. PY - 2011 SN - 978-3-642-10861-7 SP - 1-11 ST - Mineralogy of Asbestos T2 - Malignant Mesothelioma TI - Mineralogy of Asbestos VL - 189 ID - 2251 ER - TY - JOUR AU - Carnahan, Ryan M. DA - 2012 DP - Google Scholar IS - S1 L1 - https://www.researchgate.net/profile/Kevin_Moores/publication/221764104_Mini-Sentinel's_systematic_reviews_of_validated_methods_for_identifying_health_outcomes_using_administrative_and_claims_data_methods_and_lessons_learned/links/54db6aec0cf2ba88a6901480.pdf internal-pdf://4013483729/Carnahan-2012-Mini-Sentinel's systematic revie.pdf PY - 2012 SP - 90-99 ST - Mini-Sentinel's systematic reviews of validated methods for identifying health outcomes using administrative data T2 - Pharmacoepidemiology and drug safety TI - Mini-Sentinel's systematic reviews of validated methods for identifying health outcomes using administrative data: summary of findings and suggestions for future research UR - http://onlinelibrary.wiley.com/doi/10.1002/pds.2318/full http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/pds.2318/asset/pds2318.pdf?v=1&t=itiqxik3&s=bdf516006eb09daed61b0eb7016da57614d6ab46 VL - 21 Y2 - 2016/09/24/16:02:05 ID - 2403 ER - TY - JOUR AB - Reasonable water resources allocation is an important control measure for region sustainable development and water resources utilization, which key problem is how to handily determine weights of region water resources allocation. For this purpose, a new scheme for determining weights of region water resources allocation, named MRIEM for short, was proposed to mine objective information of sub-regions and experience of experts during the water resources allocation process based on the principle of minimum relative information entropy. The research results show that as a meta-synthesis method for determining weights of region water resources allocation with distinct concept of mathematics and physics, MRIEM is handy and universal, its computation result is objective and reasonable, so it can widely be applied to theory and practice of different systems engineering. AU - Jin, Juliang AU - Cheng, Jilin AU - Wei, Yiming AU - Li, Ruzhong DA - 2007 IS - 1 J2 - Shuili Fadian Xuebao/Journal of Hydroelectric Engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2007 SN - 10031243 SP - 28-32 ST - Minimum relative information entropy method for determining weights of region water resources allocation T2 - Shuili Fadian Xuebao/Journal of Hydroelectric Engineering TI - Minimum relative information entropy method for determining weights of region water resources allocation VL - 26 ID - 541 ER - TY - JOUR AB - Metagenome analysis was used to understand the microbial community in activated sludge treating industrial wastewaters at a Common Effluent Treatment Plant (CETP) in South India. The taxonomic profile mapped onto National Center for Biotechnology Information (NCBI) taxonomy using MEtaGenome ANalyzer (MEGAN), demonstrated that the most abundant domain belonged to prokaryotes, dominated by bacteria. Bacteria representing nine phyla were identified from the sequence data including representatives from two new phyla, Synergistetes and Elusimicrobia. Functional analysis of the metagenome, with specific reference to the metabolism of aromatic compounds, revealed the dominance of genes of the central meta-cleavage pathway. This information was used to improve the degradative efficiency in the wastewater treatment plant. A pilot scale plant was set up with 200. L of activated sludge using salicylate induced sludge and results demonstrated 52% removal in chemical oxygen demand (COD) against non-induced biomass. 2013 Elsevier Ltd. AU - More, Ravi P. AU - Mitra, Suparna AU - Raju, Sajan C. AU - Kapley, Atya AU - Purohit, Hemant J. DA - 2014 DO - 10.1016/j.biortech.2013.11.065 J2 - Bioresource Technology KW - Bacteria Chemical oxygen demand Genes Wastewater treatment N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 09608524 SP - 137-146 ST - Mining and assessment of catabolic pathways in the metagenome of a common effluent treatment plant to induce the degradative capacity of biomass T2 - Bioresource Technology TI - Mining and assessment of catabolic pathways in the metagenome of a common effluent treatment plant to induce the degradative capacity of biomass UR - http://dx.doi.org/10.1016/j.biortech.2013.11.065 VL - 153 ID - 885 ER - TY - BOOK AB - Recently, Radio Frequency Identification (RFID) technology is being deployed for several applications, including supply-chain optimization, business process automation, asset tracking, and problem traceability applications. The problem with RFID data is that its degree increases according to time and location, thus, resulting in an enormous volume of data duplication. Therefore, it is difficult to extract useful hidden knowledge in RFID data using traditional association rule mining techniques, or analyze data using statistical techniques or queries. This paper suggest association rule generation method based on the meta rule which could find a meaningful rule by using inclusion relation and concept hierarchy between data, in order to extract a hidden pattern from RFID data. Therefore, we could not only eliminate the duplicated rule efficiently by using meta-rule but also reduce the complexity by processing the limited association rule examination. Also, this method is useful to improve the storage efficiency and to find a hidden association relationship between objects. AU - Kim, Younghee AU - Kim, Ungmo AU - Jung, Myungsook AU - Kang, Woojun AU - Noh, Youngju DA - 2009 PY - 2009 SN - 978-89-5519-138-7 ST - Mining Association Rules for RFID Data with Concept Hierarchy TI - Mining Association Rules for RFID Data with Concept Hierarchy ID - 2149 ER - TY - CONF AB - Recently, radio frequency identification (RFID) technology is being deployed for several applications, including supply-chain optimization, business process automation, asset tracking, and problem traceability applications. The problem with RFID data is that its degree increases according to time and location, thus, resulting in an enormous volume of data duplication. Therefore, it is difficult to extract useful hidden knowledge in RFID data using traditional association rule mining techniques, or analyze data using statistical techniques or queries. This paper suggest association rule generation method based on the meta rule which could find a meaningful rule by using inclusion relation and concept hierarchy between data, in order to extract a hidden pattern from RFID data. Therefore, we could not only eliminate the duplicated rule efficiently by using meta-rule but also reduce the complexity by processing the limited association rule examination. Also, this method is useful to improve the storage efficiency and to find a hidden association relationship between objects. AU - Younghee, Kim AU - Ungmo, Kim AU - Myungsook, Jung AU - Woojun, Kang AU - Youngju, Noh C3 - 2009 11th International Conference on Advanced Communication Technology, 15-18 Feb. 2009 DA - 2009 KW - data mining radiofrequency identification statistical analysis telecommunication computing PB - IEEE PY - 2009 SP - 1002-6 ST - Mining association rules for RFID data with concept hierarchy T3 - 2009 11th International Conference on Advanced Communication Technology TI - Mining association rules for RFID data with concept hierarchy VL - vol.2 ID - 1532 ER - TY - BOOK AB - On-line analytical processing (OLAP) provides tools to explore data cubes in order to extract interesting information. Nevertheless, OLAP is not capable of explaining relationships that could exist within data. Association rules are one kind of data mining techniques which finds associations among data. In this paper, we propose a framework for mining association rules from data cubes according to a sum-based aggregate measure which is more general than frequencies provided by the COUNT measure. Our mining process is guided by a meta-rule context driven by analysis objectives and exploits aggregate measures to revisit the definition of support and confidence. We also evaluate the interestingness of mined association rules according to Lift and Loevinger criteria and propose an algorithm for mining inter-dimensional association rules directly from a multidimensional structure of data. AU - Ben Messaoud, Riadh AU - Boussaid, Omar AU - Rabaseda, Sabine Loudcher DA - 2006 PY - 2006 SN - 978-1-4244-0673-9 ST - Mining association rules in OLAP cubes TI - Mining association rules in OLAP cubes ID - 2057 ER - TY - CONF AB - On-line analytical processing (OLAP) provides tools to explore data cubes in order to extract interesting information. Nevertheless, OLAP is not capable of explaining relationships that could exist within data. Association rules are one kind of data mining techniques which finds associations among data. In this paper, we propose a framework for mining association rules from data cubes according to a sum-based aggregate measure which is more general than frequencies provided by the COUNTmeasure. Our mining process is guided by a meta-rule context driven by analysis objectives and exploits aggregate measures to revisit the definition of support and confidence. We also evaluate the interestingness of mined association rules according to Lift and Loevinger criteria and propose an algorithm for mining inter-dimensional association rules directly from a multidimensional structure of data. 2006 IEEE. AU - Messaoud, Riadh Ben AU - Boussaid, Omar AU - Rabaseda, Sabine Loudcher C3 - 2006 Innovations in Information Technology, IIT, November 19, 2006 - November 21, 2006 DA - 2006 DO - 10.1109/INNOVATIONS.2006.301947 KW - Aggregates Association rules Associative processing data mining Data processing Decision support systems Information Management Information technology Innovation Laws and legislation mining Search Engines Technology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2006 ST - Mining association rules in OLAP cubes T3 - 2006 Innovations in Information Technology, IIT TI - Mining association rules in OLAP cubes UR - http://dx.doi.org/10.1109/INNOVATIONS.2006.301947 ID - 1524 ER - TY - CONF AB - This paper presents the ongoing development of a full-text natural language search engine for biomedical literature. The system aims to provide search on the full-text content of documents belonging to a database composed of scientific articles, while allowing users to submit their search queries using natural language. Beyond the text content of articles, the system engine also utilizes article metadata, empowering the search by considering extra information from picture and table captions. User queries can be submitted to the system in natural language, releasing the user from the burden of translating their search needs into a query language. AU - Almeida, H. AU - Jean-Louis, L. AU - Meurs, M. J. C3 - Advances in Artificial Intelligence. 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, 31 May-3 June 2016 DA - 2016 DO - 10.1007/978-3-319-34111-8_22 KW - medical information systems meta data natural language processing query processing Search Engines text analysis PB - Springer International Publishing PY - 2016 SP - 168-79 ST - Mining biomedical literature: An open source and modular approach T3 - Advances in Artificial Intelligence. 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016. Proceedings: LNCS 9673 TI - Mining biomedical literature: An open source and modular approach UR - http://dx.doi.org/10.1007/978-3-319-34111-8_22 ID - 1361 ER - TY - CONF AB - An efficient prospect to medical procedures such as diagnosis and therapy is by obtaining knowledge of medical experts from formal reports. Several studies have been carried out on finding differences in brain connectivity between schizophrenia patients and healthy controls with their results reported in natural language with tables and figures. In the area of biomedical research, natural language processing can be employed to retrieve relevant information from articles by scientific and medical experts, based on which a brain network characterizing schizophrenia could be built. Hence, this study presents suitable text mining model for retrieving information about brain region. Meta-analysis is employed to integrate knowledge from different, while relevant information is retrieved from scientific publications with Shift-And Pattern Matching. Evaluation on a set of 1,525 scientific literatures on schizophrenia shows the model has good recall of 73.7%. 2016 IEEE. AU - Mumini, Omisore Olatunji AU - Lingxue, Ren AU - Ivanov, Kamen AU - Wang, Lei C3 - 2016 IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2016, July 5, 2016 - July 7, 2016 DA - 2016 DO - 10.1109/ICCCBDA.2016.7529551 KW - Big data Brain cloud computing Computational linguistics data handling data mining Diagnosis Diseases Information analysis Natural language processing systems Pattern matching N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2016 SP - 157-163 ST - Mining brain features from schizophrenia studies with Shift-And pattern matching T3 - Proceedings of 2016 IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2016 TI - Mining brain features from schizophrenia studies with Shift-And pattern matching UR - http://dx.doi.org/10.1109/ICCCBDA.2016.7529551 ID - 1689 ER - TY - JOUR AB - BACKGROUND: The health sciences literature incorporates a relatively large subset of epidemiological studies that focus on population-level findings, including various determinants, outcomes and correlations. Extracting structured information about those characteristics would be useful for more complete understanding of diseases and for meta-analyses and systematic reviews. RESULTS: We present an information extraction approach that enables users to identify key characteristics of epidemiological studies from MEDLINE abstracts. It extracts six types of epidemiological characteristic: design of the study, population that has been studied, exposure, outcome, covariates and effect size. We have developed a generic rule-based approach that has been designed according to semantic patterns observed in text, and tested it in the domain of obesity. Identified exposure, outcome and covariate concepts are clustered into health-related groups of interest. On a manually annotated test corpus of 60 epidemiological abstracts, the system achieved precision, recall and F-score between 79-100%, 80-100% and 82-96% respectively. We report the results of applying the method to a large scale epidemiological corpus related to obesity. CONCLUSIONS: The experiments suggest that the proposed approach could identify key epidemiological characteristics associated with a complex clinical problem from related abstracts. When integrated over the literature, the extracted data can be used to provide a more complete picture of epidemiological efforts, and thus support understanding via meta-analysis and systematic reviews. AU - Karystianis, George AU - Buchan, Iain AU - Nenadic, Goran DA - 2014 DO - 10.1186/2041-1480-5-22 J2 - J Biomed Semantics KW - epidemiology Key characteristics Rule-based methodology text mining L1 - internal-pdf://0701539807/Karystianis-2014-Mining characteristics of epi.pdf LA - eng PY - 2014 SN - 2041-1480 SP - 22 ST - Mining characteristics of epidemiological studies from Medline: a case study in obesity T2 - Journal of biomedical semantics TI - Mining characteristics of epidemiological studies from Medline: a case study in obesity UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4062908/pdf/2041-1480-5-22.pdf VL - 5 ID - 64 ER - TY - JOUR AB - Time challenges data analysis, revealing dynamics and regularities in the data, which are not easily addressed by mining techniques. Among the usual goals, mining patterns along time plays a central role, since an accurate identification of patterns may improve significantly the accuracy of posterior classification models. Regularities, such as cycles and convergence, are of particular interest, revealing constancy or evolution on behaviors. Nevertheless, the explosion on the number of patterns identified impairs their usage on training classification models. In this paper, we propose a new strategy to identify and summarize a set of temporal patterns. The approach combines the discovery of cyclic and convergent patterns with the formulation of meta-patterns, a condensed but non-lossy representation. Experimental results on healthcare and climate datasets show a considerable reduction on the number of patterns discovered, without losing accuracy. AU - Serrano, Daniel AU - Barreto, Antonio AU - Antunes, Claudia DA - 2014 PY - 2014 SP - 1424-1435 ST - Mining Compact but Non-Lossy Convergent Patterns Over Time Series T2 - International Work-Conference on Time Series (itise 2014) TI - Mining Compact but Non-Lossy Convergent Patterns Over Time Series ID - 2162 ER - TY - CONF AB - Component repositories play an increasingly relevant role in software life-cycle management, from software distribution to end-user, to deployment and upgrade management. Software components shipped via such repositories are equipped with rich metadata that describe their relationship (e.g., Dependencies and conflicts) with other components. In this practice paper we show how to use a tool, distcheck, that uses component metadata to identify all the components in a repository that cannot be installed (e.g., Due to unsatisfiable dependencies), provides detailed information to help developers understanding the cause of the problem, and fix it in the repository. We report about detailed analyses of several repositories: the Debian distribution, the OPAM package collection, and Drupal modules. In each case, distcheck is able to efficiently identify not installable components and provide valuable explanations of the issues. Our experience provides solid ground for generalizing the use of distcheck to other component repositories. AU - Abate, P. AU - Di Cosmo, R. AU - Gesbert, L. AU - Le Fessant, F. AU - Treinen, R. AU - Zacchiroli, S. C3 - 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), 16-17 May 2015 DA - 2015 DO - 10.1109/MSR.2015.10 KW - data mining meta data object-oriented programming software management Software packages software tools PB - IEEE PY - 2015 SP - 24-33 ST - Mining Component Repositories for Installability Issues T3 - 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR) TI - Mining Component Repositories for Installability Issues UR - http://dx.doi.org/10.1109/MSR.2015.10 ID - 1573 ER - TY - JOUR AU - Jensen, Peter B. AU - Jensen, Lars J. AU - Brunak, Søren DA - 2012 DP - Google Scholar IS - 6 L1 - internal-pdf://0307571472/Jensen-2012-Mining electronic health records_.pdf PY - 2012 SP - 395-405 ST - Mining electronic health records T2 - Nature Reviews Genetics TI - Mining electronic health records: towards better research applications and clinical care UR - http://www.nature.com/nrg/journal/v13/n6/abs/nrg3208.html http://www.nature.com/nrg/journal/v13/n6/full/nrg3208.html http://www.nature.com.ezproxy.lib.vt.edu/nrg/journal/v13/n6/pdf/nrg3208.pdf VL - 13 Y2 - 2016/09/24/15:32:42 ID - 2311 ER - TY - JOUR AB - In epidemiology, time-series regression models are specially suitable for evaluating short-term effects of time-varying exposures to pollution. To summarize findings from different studies on different cities, the techniques of designed meta-analyses have been employed. In this context, city-specific findings are summarized by an 'effect size' measured on a common scale. Such effects are then pooled together on a second hierarchy of analysis. The objective of this article is to exploit exploratory analysis of city-specific time series. In fact, when dealing with many sources of data, that is, many cities, an exploratory analysis becomes almost unaffordable. Our idea is to explore the time series by fitting complete dynamic regression models. These models are easier to fit than models usually employed and allow implementation of very fast automated model selection algorithms. The idea is to highlight the common features across cities through this analysis, which might then be used to design the meta-analysis. The proposal is illustrated by analysing data on the relationship between daily nonaccidental deaths and air pollution in the 20 US largest cities. AU - Chiogna, M. AU - Gaetan, C. DA - 2005 DO - 10.1191/1471082X05st103oa IS - 4 J2 - Statistical Modelling KW - air pollution Regression Analysis time series L1 - internal-pdf://4005987940/Chiogna-2005-Mining epidemiological time serie.pdf PY - 2005 SN - 1471-082X SP - 309-25 ST - Mining epidemiological time series: an approach based on dynamic regression T2 - Statistical Modelling TI - Mining epidemiological time series: an approach based on dynamic regression UR - http://dx.doi.org/10.1191/1471082X05st103oa VL - 5 ID - 1865 ER - TY - CONF AB - In this paper, we introduce a new kind of mining problem --- mining erasable itemsets, which is de-rived from planning products of the manufacturing industry. For this problem, we first present the formal definition of mining erasable itemsets and discuss some basic properties of the problem. Based on our analyses, we propose an efficient algorithm, META, for mining erasable itemsets. For evaluating META algorithm, we built three synthetic product databases. The results of applying META algorithm to these synthetic databases show its effectiveness. 2009 IEEE. AU - Deng, Zhi-Hong AU - Fang, Guo-Dong AU - Wang, Zhong-Hui AU - Xu, Xiao-Ran C3 - 2009 International Conference on Machine Learning and Cybernetics, July 12, 2009 - July 15, 2009 DA - 2009 DO - 10.1109/ICMLC.2009.5212520 KW - Algorithms Chemical industry Control theory Cybernetics mining Robot learning N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2009 SP - 67-73 ST - Mining erasable itemsets T3 - Proceedings of the 2009 International Conference on Machine Learning and Cybernetics TI - Mining erasable itemsets UR - http://dx.doi.org/10.1109/ICMLC.2009.5212520 VL - 1 ID - 1407 ER - TY - JOUR AB - We describe a method for mining a neuroimaging database for associations between text and brain locations. The objective is to discover association rules between words indicative of cognitive function as described in abstracts of neuroscience papers and sets of reported stereotactic Talairach coordinates. We invoke a simple probabilistic framework in which kernel density estimates are used to model distributions of brain activation foci conditioned on words in a given abstract. The principal associations are found in the joint probability density between words and voxels. We show that the statistically motivated associations are well aligned with general neuroscientific knowledge. AU - Nielsen, Finn Arup AU - Hansen, Lars Kai AU - Balslev, Daniela DA - 2004 DO - 10.1385/NI:2:4:369 IS - 4 J2 - Neuroinformatics KW - *Brain Mapping *Databases, Factual Brain/*physiology Cognition/*physiology Data Interpretation, Statistical Humans Image Processing, Computer-Assisted/methods Information storage and retrieval Magnetic Resonance Imaging/methods Meta-Analysis as Topic Models, Neurological Neurosciences LA - eng PY - 2004 SN - 1539-2791 1539-2791 SP - 369-380 ST - Mining for associations between text and brain activation in a functional neuroimaging database T2 - Neuroinformatics TI - Mining for associations between text and brain activation in a functional neuroimaging database VL - 2 ID - 156 ER - TY - JOUR AB - Nitrogen (N) is the most important macronutrient for plant growth and development. Hence, understanding genetic architectures and functional genes involved in the response to N deficiency can greatly facilitate the development of low-N-tolerant cultivars. In this study, we collected 212 quantitative trait loci (QTL) of agronomically important traits under low-N stress conditions in maize. We then identified 21 consensus QTL (cQTL) strongly induced for low-N tolerance after excluding overlapping cQTL containing QTL simultaneously identified in meta-analyses of studies performed under other environmental conditions. Among the 21 cQTL, 30 candidate maize genes were identified from maize large-scale differential expression data derived from analyses of low-N stress, and the 12 most important maize orthologs were identified using homologous BLAST analyses of genes with known functions in N use efficiency in model plants. Furthermore, maize orthologs associated with low-N tolerance and metabolism were also predicted using large-scale expression data from other model plants. The present genetic loci and candidate genes indicate the molecular mechanisms of low-N tolerance in maize and may provide information for QTL fine mapping and molecular marker-assisted selection. AU - Luo, Bowen AU - Tang, Haitao AU - Liu, Hailan AU - Shunzong, Su AU - Zhang, Suzhi AU - Wu, Ling AU - Liu, Dan AU - Gao, Shibin DA - 2015/11// DO - 10.1007/s10681-015-1481-5 IS - 1 PY - 2015 SN - 0014-2336 SP - 117-131 ST - Mining for low-nitrogen tolerance genes by integrating meta-analysis and large-scale gene expression data from maize T2 - Euphytica TI - Mining for low-nitrogen tolerance genes by integrating meta-analysis and large-scale gene expression data from maize VL - 206 ID - 1928 ER - TY - JOUR AB - BACKGROUND: Most physiological processes in mammals are temporally regulated by means of a master circadian clock in the brain and peripheral oscillators in most other tissues. A transcriptional-translation feedback network of clock genes produces near 24 h oscillations in clock gene and protein expression. Here, we aim to identify novel additions to the clock network using a meta-analysis of public chromatin immunoprecipitation sequencing (ChIP-seq), proteomics and protein-protein interaction data starting from a published list of 1000 genes with robust transcriptional rhythms and circadian phenotypes of knockdowns. RESULTS: We identified 20 candidate genes including nine known clock genes that received significantly high scores and were also robust to the relative weights assigned to different data types. Our scoring was consistent with the original ranking of the 1000 genes, but also provided novel complementary insights. Candidate genes were enriched for genes expressed in a circadian manner in multiple tissues with regulation driven mainly by transcription factors BMAL1 and AU - Bhargava, Anuprabha AU - Herzel, Hanspeter AU - Ananthasubramaniam, Bharath DA - 2015 DO - 10.1186/s12918-015-0227-2 J2 - BMC Syst Biol KW - *Gene Expression Regulation Animals Circadian Rhythm Signaling Peptides and Proteins/*genetics data mining Feedback, Physiological Mammals/*genetics/metabolism Mice Models, Genetic NIH 3T3 Cells Promoter Regions, Genetic Proteomics Time Factors Transcription Factors/genetics/metabolism/physiology Transcription, Genetic L1 - internal-pdf://0382697713/Bhargava-2015-Mining for novel candidate clock.pdf LA - eng PY - 2015 SN - 1752-0509 1752-0509 SP - 78 ST - Mining for novel candidate clock genes in the circadian regulatory network T2 - BMC systems biology TI - Mining for novel candidate clock genes in the circadian regulatory network UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4650315/pdf/12918_2015_Article_227.pdf VL - 9 ID - 66 ER - TY - JOUR AB - Advances in the field of genomics and 'metagenomics' have dramatically revised our view of microbial biodiversity and its potential for biotechnological applications. Considering the estimation that 99% of microorganisms in most environments are not amenable to culturing, very little is known about their genomes, genes and encoded enzymatic activities. The isolation, archiving and analysis of environmental DNA (or so-called 'metagenomes') has enabled us to mine microbial diversity, allowing us to access their genomes, identify protein coding sequences and even to reconstruct biochemical pathways, providing insights into the properties and functions of these organisms. The generation and analysis of (meta)genomic libraries is thus a powerful approach to harvest and archive environmental genetic resources. It will enable us to identify which organisms are present, what they do, and how their genetic information can be beneficial to mankind. 2005 Elsevier Ltd. All rights reserved. AU - Ferrer, Manuel AU - Martinez-Abarca, Francisco AU - Golyshin, Peter N. DA - 2005 DO - 10.1016/j.copbio.2005.09.001 IS - 6 J2 - Current Opinion in Biotechnology KW - Biodiversity Biotechnology Enzymes Genes Genetic engineering Microorganisms Proteins L1 - internal-pdf://2489630238/Ferrer-2005-Mining genomes and 'metagenomes' f.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2005 SN - 09581669 SP - 588-593 ST - Mining genomes and 'metagenomes' for novel catalysts T2 - Chemical Biotechnology/Pharmaceutical Biotechnology TI - Mining genomes and 'metagenomes' for novel catalysts UR - http://dx.doi.org/10.1016/j.copbio.2005.09.001 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0958166905001382/1-s2.0-S0958166905001382-main.pdf?_tid=d4e719a4-8333-11e6-97c9-00000aab0f02&acdnat=1474817112_5aef37340ef0d9479f5fd28bc7822b3d VL - 16 ID - 975 ER - TY - JOUR AB - We propose a two-stage approach to analyze genome-wide association data in order to identify a set of promising single-nucleotide polymorphisms (SNPs). In stage one, we select a list of top signals from single SNP analyses by controlling false discovery rate. In stage two, we use the least absolute shrinkage and selection operator (LASSO) regression to reduce false positives. The proposed approach was evaluated using simulated quantitative traits based on genome-wide SNP data on 8,861 Caucasian individuals from the Atherosclerosis Risk in Communities (ARIC) Study. Our first stage, targeted at controlling false negatives, yields better power than using Bonferroni-corrected significance level. The LASSO regression reduces the number of significant SNPs in stage two: it reduces false-positive SNPs and it reduces true-positive SNPs also at simulated causal loci due to linkage disequilibrium. Interestingly, the LASSO regression preserves the power from stage one, i.e., the number of causal loci detected from the LASSO regression in stage two is almost the same as in stage one, while reducing false positives further. Real data on systolic blood pressure in the ARIC study was analyzed using our two-stage approach which identified two significant SNPs, one of which was reported to be genome-significant in a meta-analysis containing a much larger sample size. On the other hand, a single SNP association scan did not yield any significant results. AU - Shi, Gang AU - Boerwinkle, Eric AU - Morrison, Alanna C. AU - Gu, C. Charles AU - Chakravarti, Aravinda AU - Rao, D. C. DA - 2011/02//undefined DO - 10.1002/gepi.20556 IS - 2 J2 - Genet Epidemiol KW - *Genome-Wide Association Study *Polymorphism, Single Nucleotide Computer Simulation False Negative Reactions False Positive Reactions Humans Linkage Disequilibrium Models, Statistical Molecular Epidemiology/methods Regression Analysis Reproducibility of results LA - eng PY - 2011 SN - 1098-2272 0741-0395 SP - 111-118 ST - Mining gold dust under the genome wide significance level: a two-stage approach to analysis of GWAS T2 - Genetic epidemiology TI - Mining gold dust under the genome wide significance level: a two-stage approach to analysis of GWAS VL - 35 ID - 279 ER - TY - CONF AB - Real world physical and abstract data objects are interconnected, forming gigantic, interconnected networks. By structuring these data objects into multiple types, such networks become semi-structured heterogeneous information networks. Most real world applications that handle big data, including interconnected social media and social networks, scientific, engineering, or medical information systems, online e-commerce systems, and most database systems, can be structured into heterogeneous information networks. For example, in a medical care network, objects of multiple types, such as patients, doctors, diseases, medication, and links such as visits, diagnosis, and treatments are intertwined together, providing rich information and forming heterogeneous information networks. Effective analysis of large-scale heterogeneous information networks poses an interesting but critical challenge. In this talk, we present a set of data mining scenarios in heterogeneous information networks and show that mining heterogeneous information networks is a new and promising research frontier in data mining research. Departing from many existing network models that view data as homogeneous graphs or networks, the semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and can uncover surprisingly rich knowledge from interconnected data. This heterogeneous network modeling will lead to the discovery of a set of new principles and methodologies for mining interconnected data. The examples to be used in this discussion include (1) meta path-based similarity search, (2) rank-based clustering, (3) rank-based classification, (4) meta path-based link/relationship prediction, (5) relation strength-aware mining, as well as a few other recent developments. We will also point out some promising research directions and provide convincing arguments on that mining heterogeneous information networks is the next frontier in data mining. 2012 Author. AU - Han, Jaiwei C3 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012, August 12, 2012 - August 16, 2012 DA - 2012 DO - 10.1145/2339530.2339533 KW - Database systems data mining Diagnosis Heterogeneous networks Information services medical information systems Online Systems Research Semantics Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2012 SP - 2-3 ST - Mining heterogeneous information networks: The next frontier T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - Mining heterogeneous information networks: The next frontier UR - http://dx.doi.org/10.1145/2339530.2339533 http://dl.acm.org/citation.cfm?doid=2339530.2339533 ID - 1444 ER - TY - CONF AB - Meta-paths in heterogeneous information networks are almost always hand created and have, so far, only been attempted on data sets with very small type systems like DBLP, IMDB, etc. Most real-world heterogeneous information networks have large and complex type systems. As the size and complexity of the type-system grows it becomes more and more difficult for humans to form reasonable meta-path queries. This work introduces a new technique to discover a new market for data called interesting meta-paths from complex heterogeneous information networks. Our interestingness measure is based on classical knowledge discovery principles, but have been applied in such a way that only interesting meta-paths are mined from the hundreds-of-thousands of possible choices. As in classical pattern mining literature, precision and recall statistics are difficult to obtain, instead we evaluate the effectiveness of our results using a quantitative node-similarity analysis as well as a large user study. Finally, we apply the newly discovered interesting meta-paths to find similar nodes on the Wikipedia heterogeneous information networks. 2014 IEEE. AU - Shi, Baoxu AU - Weninger, Tim C3 - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014, December 14, 2014 DA - 2015 DO - 10.1109/ICDMW.2014.25 KW - Complex networks data mining Information services Java programming language N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2015 SN - 23759232 SP - 488-495 ST - Mining interesting meta-paths from complex heterogeneous information networks T3 - IEEE International Conference on Data Mining Workshops, ICDMW TI - Mining interesting meta-paths from complex heterogeneous information networks UR - http://dx.doi.org/10.1109/ICDMW.2014.25 VL - 2015-January ID - 1749 ER - TY - BOOK AB - Nowadays, information technologies are widely used in business. Enterprises hope to make good use of the advanced technologies to analyze customer purchase behavior for better marketing. So it has become a hot issue to find interesting customer purchase patterns in a large amount of information. This paper proposes a method of granular computing to mine interesting purchase patterns. The granule represents a set of tuples that have the same attribute value in the database. For all tuples involved in interesting purchase patterns, we can represent them by using existing granules or creating new granules by logical operations (AND or OR) among existing granules. And then we use these granules to generate interesting patterns. This method not only can improve performance efficiently without scanning database repeatedly, but it is easier to understand for users and improves process flexibility. Especially for some complicated user demands, some high-level concepts which users take interest in don't exist in the database, but we can generate new granules by OR operations to represent them. So it's very convenient to mine interesting purchase patterns using granular computing. AU - Lv, Yingjie AU - Li, Yijun AU - Song, Di DA - 2007 PY - 2007 SN - 978-1-4244-0884-9 ST - Mining interesting purchase patterns: A method of granular computing TI - Mining interesting purchase patterns: A method of granular computing ID - 2145 ER - TY - CONF AB - Issue Tracking systems (ITS) such as Google Code Hosting and Bugzilla facilitate software maintenance activities through bug reporting, archiving and fixing. The large number of bug reports and their unstructured text makes it impractical for developers to manually extract actionable intelligence to expedite bug fixing. In this paper, we present an application of mining bug report description and threaded discussion comments using Latent Dirichlet Allocation (LDA) which is a topic modeling technique. We apply LDA on the Chromium Browser Project bug archives (open-source) to extract topics (discovery of semantically related terms) and the latent semantic relationship between documents (bug reports) and extracted topics for corpus exploration, trend analysis and understanding evolution in maintenance domain. We conduct a series of experiments to uncover latent topics potentially useful for developers and testers based on the bug meta-data such as time, priority, type, category and status. Copyright 2014 ACM. AU - Aggarwal, Ayushi AU - Waghmare, Gajendra AU - Sureka, Ashish C3 - 3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2014, June 3, 2014 DA - 2014 DO - 10.1145/2593801.2593810 KW - artificial intelligence Computer software maintenance data mining Maintenance Open source software Program debugging Semantics software engineering Statistics Tracking (position) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2014 SP - 52-58 ST - Mining issue tracking systems using topic models for trend analysis, corpus exploration, and understanding evolution T3 - 3rd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE 2014 - Proceedings TI - Mining issue tracking systems using topic models for trend analysis, corpus exploration, and understanding evolution UR - http://dx.doi.org/10.1145/2593801.2593810 http://dl.acm.org/citation.cfm?doid=2593801.2593810 ID - 1556 ER - TY - CONF AB - Most objects and data in the real world are interconnected, forming complex, heterogeneous but often semistructured information networks. However, many database researchers consider a database merely as a data repository that supports storage and retrieval rather than an information-rich, inter-related and multi-typed information network that supports comprehensive data analysis, whereas many network researchers focus on homogeneous networks. Departing from both, we view interconnected, semi-structured datasets as heterogeneous, information-rich networks and study how to uncover hidden knowledge in such networks. For example, a university database can be viewed as a heterogeneous information network, where objects of multiple types, such as students, professors, courses, departments, and multiple typed relationships, such as teach and advise are intertwined together, providing abundant information. In this tutorial, we present an organized picture on mining heterogeneous information networks and introduce a set of interesting, effective and scalable network mining methods. The topics to be covered include (i) database as an information network, (ii) mining information networks: clustering, classification, ranking, similarity search, and meta path-guided analysis, (iii) construction of quality, informative networks by data mining, (iv) trend and evolution analysis in heterogeneous information networks, and (v) research frontiers. We show that heterogeneous information networks are informative, and link analysis on such networks is powerful at uncovering critical knowledge hidden in large semi-structured datasets. Finally, we also present a few promising research directions. 2012 IEEE. AU - Han, Jiawei AU - Sun, Yizhou AU - Yan, Xifeng AU - Yu, Philip S. C3 - IEEE 28th International Conference on Data Engineering, ICDE 2012, April 1, 2012 - April 5, 2012 DA - 2012 DO - 10.1109/ICDE.2012.145 KW - Database systems Information services Quality Control Research teaching N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SN - 10844627 SP - 1214-1217 ST - Mining knowledge from data: An information network analysis approach T3 - Proceedings - International Conference on Data Engineering TI - Mining knowledge from data: An information network analysis approach UR - http://dx.doi.org/10.1109/ICDE.2012.145 ID - 1579 ER - TY - CONF AB - Surrogate fitness functions are a popular technique for speeding up metaheuristics, replacing calls to a costly fitness function with calls to a cheap model. However, surrogates also represent an explicit model of the fitness function, which can be exploited beyond approximating solution fitness. This paper proposes that mining surrogate fitness models can yield useful additional information on the problem to the decision maker, adding value to the optimisation process. An existing fitness model based on Markov networks is presented and applied to the optimisation of glazing on a building facade. Analysis of the model reveals how its parameters point towards the global optima of the problem after only part of the optimisation run, and reveals useful properties like the relative sensitivities of the problem variables. 2016 ACM. AU - Brownlee, Alexander E. I. C3 - 2016 Genetic and Evolutionary Computation Conference, GECCO 2016 Companion, July 20, 2016 - July 24, 2016 DA - 2016 DO - 10.1145/2908961.2931711 KW - decision making Health Heuristic algorithms Heuristic programming Markov processes Optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2016 SP - 1267-1274 ST - Mining markov network surrogates for value-added optimisation T3 - GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference TI - Mining markov network surrogates for value-added optimisation UR - http://dx.doi.org/10.1145/2908961.2931711 http://dl.acm.org/citation.cfm?doid=2908961.2931711 ID - 1157 ER - TY - JOUR AB - BACKGROUND: Multi-item adverse drug event (ADE) associations are associations relating multiple drugs to possibly multiple adverse events. The current standard in pharmacovigilance is bivariate association analysis, where each single drug-adverse effect combination is studied separately. The importance and difficulty in the detection of multi-item ADE associations was noted in several prominent pharmacovigilance studies. In this paper we examine the application of a well established data mining method known as association rule mining, which we tailored to the above problem, and demonstrate its value. The method was applied to the FDAs spontaneous adverse event reporting system (AERS) with minimal restrictions and expectations on its output, an experiment that has not been previously done on the scale and generality proposed in this work. RESULTS: Based on a set of 162,744 reports of suspected ADEs reported to AERS and published in the year 2008, our method identified 1167 multi-item ADE associations. A taxonomy that characterizes the associations was developed based on a representative sample. A significant number (67% of the total) of potential multi-item ADE associations identified were characterized and clinically validated by a domain expert as previously recognized ADE associations. Several potentially novel ADEs were also identified. A smaller proportion (4%) of associations were characterized and validated as known drug-drug interactions. CONCLUSIONS: Our findings demonstrate that multi-item ADEs are present and can be extracted from the FDA's adverse effect reporting system using our methodology, suggesting that our method is a valid approach for the initial identification of multi-item ADEs. The study also revealed several limitations and challenges that can be attributed to both the method and quality of data. AU - Harpaz, Rave AU - Chase, Herbert S. AU - Friedman, Carol DA - 2010 DO - 10.1186/1471-2105-11-S9-S7 J2 - BMC Bioinformatics KW - *Adverse Drug Reaction Reporting Systems/statistics & numerical data *Drug-Related Side Effects and Adverse Reactions Algorithms Databases, Factual Data Mining/*methods Drug Synergism United States United States Food and Drug Administration L1 - internal-pdf://1531585205/Harpaz-2010-Mining multi-item drug adverse eff.pdf LA - eng PY - 2010 SN - 1471-2105 1471-2105 SP - S7 ST - Mining multi-item drug adverse effect associations in spontaneous reporting systems T2 - BMC bioinformatics TI - Mining multi-item drug adverse effect associations in spontaneous reporting systems UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967748/pdf/1471-2105-11-S9-S7.pdf VL - 11 Suppl 9 ID - 352 ER - TY - JOUR AB - Breeding maize varieties for high nitrogen (N) use efficiency (NUE) by marker-assisted selection using NUE quantitative trait locus (QTL) or by genetic transfer of NUE-associated genes is a viable approach for increasing grain yield in N-limited production areas. In this investigation, we evaluated a set of introgression line populations under N supply and N deficiency conditions. From 42 QTLs for grain yield and yield components, 23 were identified under N supply conditions and 33 from N limited conditions. Meta-analysis of published maize NUE QTLs revealed 37 "consensus" QTLs, of which, 18 was detected under low N conditions. In addition, 258 unique ESTs associated with low N stress response, N uptake, transport, and assimilation were aligned on the maize genome by in silico mapping. Integrating the EST map with the QTL map has resulted in the identification of candidate NUE-associated genes of the following functional categories: N uptake, transport, and assimilation; carbon (C) metabolism and assimilation; and cascades of stress response and signal transduction genes. Nine candidates that have been introgressed into Ye478 significantly altered grain yield/yield components. It is suggested that the dynamics of interactions between C and N metabolism are important for maize yield. A high NUE variety should have a highly efficient C assimilation per unit N and actively express CO2 assimilation-related genes under N-limited conditions. AU - Liu, Ruixiang AU - Zhang, Hao AU - Zhao, Pu AU - Zhang, Zuxin AU - Liang, Wenke AU - Tian, Zhigang AU - Zheng, Yonglian DA - 2012/04// DO - 10.1007/s11105-011-0346-x IS - 2 PY - 2012 SN - 0735-9640 SP - 297-308 ST - Mining of Candidate Maize Genes for Nitrogen Use Efficiency by Integrating Gene Expression and QTL Data T2 - Plant Molecular Biology Reporter TI - Mining of Candidate Maize Genes for Nitrogen Use Efficiency by Integrating Gene Expression and QTL Data VL - 30 ID - 1963 ER - TY - JOUR AB - Spontaneous adverse event reporting systems are widely used to identify adverse reactions to drugs following their introduction into the marketplace. In this article, a James-Stein type shrinkage estimation strategy was developed in a Bayesian logistic regression model to analyze pharmacovigilance data. This method is effective in detecting signals as it combines information and borrows strength across medically related adverse events. Computer simulation demonstrated that the shrinkage estimator is uniformly better than the maximum likelihood estimator in terms of mean squared error. This method was used to investigate the possible association of a series of diabetic drugs and the risk of cardiovascular events using data from the Canada Vigilance Online Database. AU - An, Lihua AU - Fung, Karen Y. AU - Krewski, Daniel DA - 2010 DO - 10.1080/10543401003619056 IS - 5 PY - 2010 SN - 1054-3406 SP - 998-1012 ST - Mining Pharmacovigilance Data Using Bayesian Logistic Regression with James-Stein Type Shrinkage Estimation T2 - Journal of Biopharmaceutical Statistics TI - Mining Pharmacovigilance Data Using Bayesian Logistic Regression with James-Stein Type Shrinkage Estimation VL - 20 ID - 2040 ER - TY - CONF AB - A publication record denotes a list of semi-structured citation string of publications of a research institute or an individual researcher. Publication records are integrated into a digital library to become an important knowledge base which in turn enables a variety of applications. A publication record is usually found among other information on a publication Web page (or publication page for short). It is thus an interesting problem to extract publication record from these Web pages. The problem is difficult due to several reasons including the flexibility in formatting the metadata of a publication into a semi-structured citation string and expressing the citation string into its visual presentation in HTML. Furthermore, two citation strings with similar visual presentation on the same Web page may have different HTML constructs. In this paper, we present a content analysis approach based on Conditional Random Fields and data region boundary analysis to automatically extract citation record on a publication page. Experimental results show that our method performs well on a benchmark containing manually crafted publication Web pages. The precision, recall, and F-measure are 82.5%, 87.6%, and 85.0% respectively. This is an improvement over previous results. AU - Jen-Ming, Chung AU - Ya-Huei, Lin AU - Hahn-Ming, Lee AU - Jan-Ming, Ho C3 - 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT 2012), 4-7 Dec. 2012 DA - 2012 DO - 10.1109/WI-IAT.2012.67 KW - Citation Analysis data mining Digital Libraries hypermedia markup languages Internet meta data statistical analysis PB - IEEE Computer Society PY - 2012 SP - 319-26 ST - Mining Publication Records on Personal Publication Web Pages Based on Conditional Random Fields T3 - 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT 2012) TI - Mining Publication Records on Personal Publication Web Pages Based on Conditional Random Fields UR - http://dx.doi.org/10.1109/WI-IAT.2012.67 ID - 1654 ER - TY - JOUR AB - BACKGROUND: Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a specific microarray experiment profits enormously from cross-comparing to other experiments. This process is generally performed by numerical meta-analysis of published data where the researcher chooses the datasets to be analyzed based on assumptions about the biological relations of published datasets to his own data, thus severely limiting the possibility of finding surprising connections. Here we propose using a repository of published gene lists for the identification of interesting datasets to be subjected to more detailed numerical analysis. RESULTS: We have compiled lists of genes that have been reported as differentially regulated in cancer related microarray studies. We searched these gene lists for statistically significant overlaps with lists of genes regulated by the tumor suppressors p16 and pRB. We identified a highly significant overlap of p16 and pRB target genes with genes regulated by the EWS/FLI fusion protein. Detailed numerical analysis of these data identified two sets of genes with clearly distinct roles in the G1/S and the G2/M phases of the cell cycle, as measured by enrichment of Gene Ontology categories. CONCLUSION: We show that mining of published gene lists in the absence of numerical detail about gene expression levels constitutes a fast, easy to perform, widely applicable, and unbiased route towards the identification of biologically related gene expression microarray datasets. AU - Finocchiaro, Giacomo AU - Mancuso, Francesco AU - Muller, Heiko DA - 2005 DO - 10.1186/1471-2105-6-S4-S14 J2 - BMC Bioinformatics KW - *Gene Expression Regulation, Neoplastic Cell Cycle Computational Biology/*methods Cyclin-Dependent Kinase Inhibitor p16/biosynthesis Databases, Factual Databases, Genetic Data Interpretation, Statistical Gene Expression Profiling/*methods Humans Information storage and retrieval Models, Statistical Models, Theoretical Neoplasms/*metabolism Oligonucleotide Array Sequence Analysis/*methods Oncogene Proteins, Fusion/biosynthesis Proto-Oncogene Protein c-fli-1 Research Design Retinoblastoma Protein/biosynthesis RNA-Binding Protein EWS Software Statistics as Topic Transcription Factors/biosynthesis L1 - internal-pdf://4206391009/Finocchiaro-2005-Mining published lists of can.pdf LA - eng PY - 2005 SN - 1471-2105 1471-2105 SP - S14 ST - Mining published lists of cancer related microarray experiments: identification of a gene expression signature having a critical role in cell-cycle control T2 - BMC bioinformatics TI - Mining published lists of cancer related microarray experiments: identification of a gene expression signature having a critical role in cell-cycle control UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866394/pdf/1471-2105-6-S4-S14.pdf VL - 6 Suppl 4 ID - 275 ER - TY - JOUR AB - A typical problem in the field of moving object (MO) databases consists in discovering interesting trajectory patterns. To solve this problem, data mining techniques are commonly used. Due to the huge volume of these trajectory data, some form of compression facilitates the data processing. One of such compression techniques is based on the notion of stops and moves. In this approach, a set of places that are relevant to the application, denoted Places of Interest (POIs) is selected. If a moving object spends a pre-defined amount of time in a place of interest, this place is considered a stop for the object's trajectory. Thus, raw trajectories given by (Oid, t, x, y)-tuples can be replaced by a sequence of application-relevant stops. This leads to the concept of semantic trajectory, in short, a trajectory obtained by replacing raw trajectory data with a sequence of stops, and enriched with metadata of the POIs corresponding to such stops. We present a language based on regular expressions over constraints, denoted RE-SPaM, that can intensionally express sequential patterns. The constraints in RE-SPaM are defined as conjunctions of equalities over metadata of the POIs. In addition, we introduce a data mining algorithm, based on sequential pattern mining techniques, where uninteresting sequences are pruned in advance making use of the automaton that accepts a RE-SPaM expression. This makes the task of the analyst easier, and the mining algorithm more efficient. We also show that RE-SPaM can be extended to support spatial functions, thus integrating spatial data in a moving object setting (proposals so far only account for the MO trajectories themselves). We denote the resulting language RE-SPaM+S. We show that the overhead of this extension is negligible, due to caching techniques that we explain in the paper. We close the paper with a case study over which we perform experiments to study the main variables that impact the performance of the mining algorithm. AU - Gomez, L. AU - Vaisman, A. A. DA - 2013 DO - 10.3233/IDA-130610 IS - 5 J2 - Intelligent Data Analysis KW - Data compression data integration data mining meta data visual databases PY - 2013 SN - 1088-467X SP - 857-98 ST - Mining semantic trajectories T2 - Intelligent Data Analysis TI - Mining semantic trajectories UR - http://dx.doi.org/10.3233/IDA-130610 http://content.iospress.com/articles/intelligent-data-analysis/ida00610 VL - 17 ID - 1609 ER - TY - JOUR AB - The implementation of crosscutting concerns in object-oriented (OO) systems entails scattering and tangling of code across several components increasing code duplication and making the system harder to comprehend, maintain, evolve and reuse. Therefore, identification of crosscutting concerns drives the re-engineering or refactoring tasks in order to improve modularization of an existing system and increasing its overall internal quality. This paper proposes an approach to identify and analyse the components implementing the static and dynamic crosscutting in OO systems. The approach defines a meta-model representing the structure of an OO system in terms of its components. A static analysis of an OO software system is performed to create an instance of this meta-model. Such meta-model is finally analysed to find static and dynamic crosscutting among concerns. The effectiveness and efficiency of the proposed approach have been validated in an empirical assessment where it was applied to some OO Java systems. The obtained results show a good level of effectiveness for the crosscutting analysis. Copyright 2016 John Wiley & Sons, Ltd. AU - Bernardi, Mario Luca AU - Cimitile, Marta AU - Di Lucca, Giuseppe DA - 2016 DO - 10.1002/smr.1769 IS - 5 J2 - Journal of Software: Evolution and Process KW - Aspect oriented programming Modular construction Object oriented programming Reverse engineering Static analysis L1 - internal-pdf://2407636607/Bernardi-2016-Mining static and dynamic crossc.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 20477481 SP - 306-339 ST - Mining static and dynamic crosscutting concerns: A role-based approach T2 - Journal of Software: Evolution and Process TI - Mining static and dynamic crosscutting concerns: A role-based approach UR - http://dx.doi.org/10.1002/smr.1769 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/smr.1769/asset/smr1769.pdf?v=1&t=itiqedh8&s=7dede523d3b5ce73966faa0f65df9679b26e129a VL - 28 ID - 1412 ER - TY - JOUR AB - Huge volumes of biomedical text data discussing about different biomedical entities are being generated every day. Hidden in those unstructured data are the strong relevance relationships between those entities, which are critical for many interesting applications including building knowledge bases for the biomedical domain and semantic search among biomedical entities. In this paper, we study the problem of discovering strong relevance between heterogeneous typed biomedical entities from massive biomedical text data. We first build an entity correlation graph from data, in which the collection of paths linking two heterogeneous entities offer rich semantic contexts for their relationships, especially those paths following the patterns of top-k selected meta paths inferred from data. Guided by such meta paths, we design a novel relevance measure to compute the strong relevance between two heterogeneous entities, named EntityRel. Our intuition is, two entities of heterogeneous types are strongly relevant if they have strong direct links or they are linked closely to other strongly relevant heterogeneous entities along paths following the selected patterns. We provide experimental results on mining strong relevance between drugs and diseases. More than 20 millions of MEDLINE abstracts and 5 types of biological entities (Drug, Disease, Compound, Target, MeSH) are used to construct the entity correlation graph. A prototype of drug search engine for disease queries is implemented. Extensive comparisons are made against multiple state-of-the-arts in the examples of Drug-Disease relevance discovery. AU - Ming, Ji AU - Qi, He AU - Jiawei, Han AU - Spangler, S. DA - 2015/07// DO - 10.1007/s10618-014-0396-4 IS - 4 J2 - Data Mining and Knowledge Discovery KW - data mining Graph theory medical information systems query processing Search Engines text analysis PY - 2015 SN - 1384-5810 SP - 976-98 ST - Mining strong relevance between heterogeneous entities from unstructured biomedical data T2 - Data Mining and Knowledge Discovery TI - Mining strong relevance between heterogeneous entities from unstructured biomedical data UR - http://dx.doi.org/10.1007/s10618-014-0396-4 VL - 29 ID - 1651 ER - TY - JOUR AB - There have been many comparative studies of classification methods in which real datasets are used as a gauge to assess the relative performance of the methods. Since these comparisons often yield inconclusive or limited results on how methods perform, it is often believed that a broader approach combining these studies would shed some light on this difficult question. This paper describes such an attempt: we have sampled the available literature and created a dataset of 5807 classification results. We show that one of the possible ways to analyze the resulting data is an overall assessment of the classification methods, and we present methods for that particular aim. The merits and demerits of such an approach are discussed, and conclusions are drawn which may assist future research: we argue that the current state of the literature hardly allows large-scale investigations. AU - Jamain, Adrien AU - Hand, David J. DA - 2008/06// DO - 10.1007/s00357-008-9003-y IS - 1 L1 - internal-pdf://3279244727/Jamain-2008-Mining supervised classification p.pdf PY - 2008 SN - 0176-4268 SP - 87-112 ST - Mining supervised classification performance studies: A meta-analytic investigation T2 - Journal of Classification TI - Mining supervised classification performance studies: A meta-analytic investigation VL - 25 ID - 1910 ER - TY - JOUR AB - Formalin-fixed paraffin-embedded (FFPE) tissue samples represent a potentially invaluable resource for transcriptomic research. However, use of FFPE samples in genomic studies has been limited by technical challenges resulting from nucleic acid degradation. Here we evaluated gene expression profiles derived from fresh-frozen (FRO) and FFPE mouse liver tissues preserved in formalin for different amounts of time using 2 DNA microarray protocols and 2 whole-transcriptome sequencing (RNA-seq) library preparation methodologies. The ribo-depletion protocol outperformed the other methods by having the highest correlations of differentially expressed genes (DEGs), and best overlap of pathways, between FRO and FFPE groups. The effect of sample time in formalin (18 h or 3 weeks) on gene expression profiles indicated that test article treatment, not preservation method, was the main driver of gene expression profiles. Meta- and pathway analyses indicated that biological responses were generally consistent for 18 h and 3 week FFPE samples compared with FRO samples. However, clear erosion of signal intensity with time in formalin was evident, and DEG numbers differed by platform and preservation method. Lastly, we investigated the effect of time in paraffin on genomic profiles. Ribo-depletion RNA-seq analysis of 8-, 19-, and 26-year-old control blocks resulted in comparable quality metrics, including expected distributions of mapped reads to exonic, untranslated region, intronic, and ribosomal fractions of the transcriptome. Overall, our results indicate that FFPE samples are appropriate for use in genomic studies in which frozen samples are not available, and that ribo-depletion RNA-seq is the preferred method for this type of analysis in archival and long-aged FFPE samples. AU - Webster, A. Francina AU - Zumbo, Paul AU - Fostel, Jennifer AU - Gandara, Jorge AU - Hester, Susan D. AU - Recio, Leslie AU - Williams, Andrew AU - Wood, Charles E. AU - Yauk, Carole L. AU - Mason, Christopher E. DA - 2015/12//undefined DO - 10.1093/toxsci/kfv195 IS - 2 J2 - Toxicol Sci KW - *Fixatives *Formaldehyde *Frozen Sections *Oligonucleotide Array Sequence Analysis *Paraffin Embedding Animals archival RNA biorepositories Computational Biology Databases, Genetic Female FFPE Furans/*toxicity Gene Expression Profiling/*methods Gene Expression Regulation/*drug effects Gene Regulatory Networks Liver/*drug effects/metabolism Mice microarray Rats Reproducibility of results RNA, Messenger/*genetics RNA-seq RNA Stability Sequence Analysis, DNA Sequence Analysis, RNA Time Factors Tissue Fixation/*methods toxicogenomics LA - eng PY - 2015 SN - 1096-0929 1096-0929 SP - 460-472 ST - Mining the Archives: A Cross-Platform Analysis of Gene Expression Profiles in Archival Formalin-Fixed Paraffin-Embedded Tissues T2 - Toxicological sciences : an official journal of the Society of Toxicology TI - Mining the Archives: A Cross-Platform Analysis of Gene Expression Profiles in Archival Formalin-Fixed Paraffin-Embedded Tissues VL - 148 ID - 167 ER - TY - JOUR AB - It is common practice in genome-wide association studies (GWAS) to focus on the relationship between disease risk and genetic variants one marker at a time. When relevant genes are identified it is often possible to implicate biological intermediates and pathways likely to be involved in disease aetiology. However, single genetic variants typically explain small amounts of disease risk. Our idea is to construct allelic scores that explain greater proportions of the variance in biological intermediates, and subsequently use these scores to data mine GWAS. To investigate the approach's properties, we indexed three biological intermediates where the results of large GWAS meta-analyses were available: body mass index, C-reactive protein and low density lipoprotein levels. We generated allelic scores in the Avon Longitudinal Study of Parents and Children, and in publicly available data from the first Wellcome Trust Case Control Consortium. We compared the explanatory ability of allelic scores in terms of their capacity to proxy for the intermediate of interest, and the extent to which they associated with disease. We found that allelic scores derived from known variants and allelic scores derived from hundreds of thousands of genetic markers explained significant portions of the variance in biological intermediates of interest, and many of these scores showed expected correlations with disease. Genome-wide allelic scores however tended to lack specificity suggesting that they should be used with caution and perhaps only to proxy biological intermediates for which there are no known individual variants. Power calculations confirm the feasibility of extending our strategy to the analysis of tens of thousands of molecular phenotypes in large genome-wide meta-analyses. We conclude that our method represents a simple way in which potentially tens of thousands of molecular phenotypes could be screened for causal relationships with disease without having to expensively measure these variables in individual disease collections. AU - Evans, David M. AU - Brion, Marie Jo A. AU - Paternoster, Lavinia AU - Kemp, John P. AU - McMahon, George AU - Munafo, Marcus AU - Whitfield, John B. AU - Medland, Sarah E. AU - Montgomery, Grant W. AU - Timpson, Nicholas J. AU - St Pourcain, Beate AU - Lawlor, Debbie A. AU - Martin, Nicholas G. AU - Dehghan, Abbas AU - Hirschhorn, Joel AU - Smith, George Davey DA - 2013/10//undefined DO - 10.1371/journal.pgen.1003919 IS - 10 J2 - PLoS Genet KW - *Alleles *Genome-Wide Association Study *Phenotype Adaptor Proteins, Vesicular Transport/genetics C-Reactive Protein/genetics Genetic Diseases, Inborn/*genetics Genetic Predisposition to Disease Genome, Human Genotype Humans Longitudinal Studies Polymorphism, Single Nucleotide/genetics L1 - internal-pdf://3947044645/Evans-2013-Mining the human phenome using alle.pdf LA - eng PY - 2013 SN - 1553-7404 1553-7390 SP - e1003919 ST - Mining the human phenome using allelic scores that index biological intermediates T2 - PLoS genetics TI - Mining the human phenome using allelic scores that index biological intermediates UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814299/pdf/pgen.1003919.pdf VL - 9 ID - 127 ER - TY - CONF AB - This study investigates factors that may determine satisfaction in customer service operations. We utilized more than 170,000 online chat sessions between customers and agents to identify characteristics of chat sessions that incurred dissatisfying experience. Quantitative data analysis suggests that sentiments or moods conveyed in online conversation are the most predictive factor of perceived satisfaction. Conversely, other session related meta data (such as that length, time of day, and response time) has a weaker correlation with user satisfaction. Knowing in advance what can predict satisfaction allows customer service staffs to identify potential weaknesses and improve the quality of service for better customer experience. 2015 ACM. AU - Park, Kunwoo AU - Kim, Jaewoo AU - Park, Jaram AU - Cha, Meeyoung AU - Nam, Jiin AU - Yoon, Seunghyun AU - Rhim, Eunhee C3 - 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, October 19, 2015 - October 23, 2015 DA - 2015 DO - 10.1145/2806416.2806621 KW - Customer satisfaction Knowledge management Quality of service Sales Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2015 SP - 1879-1882 ST - Mining the minds of customers from online chat logs T3 - International Conference on Information and Knowledge Management, Proceedings TI - Mining the minds of customers from online chat logs UR - http://dx.doi.org/10.1145/2806416.2806621 VL - 19-23-Oct-2015 ID - 997 ER - TY - JOUR AB - We present a general method for automatic meta-analyses in neuroscience and apply it on text data from published functional imaging studies to extract main functions associated with a brain area-the posterior cingulate cortex (PCC). Abstracts from PubMed are downloaded, words extracted and converted to a bag-of-words matrix representation. The combined data are analyzed with hierarchical non-negative matrix factorization. We find that the prominent themes in the PCC corpus are episodic memory retrieval and pain. We further characterize the distribution in PCC of the Talairach coordinates available in some of the articles. This shows a tendency to functional segregation between memory and pain components where memory activations are predominantly in the caudal part and pain in the rostral part of PCC. AU - Nielsen, Finn Arup AU - Balslev, Daniela AU - Hansen, Lars Kai DA - 2005/09//undefined DO - 10.1016/j.neuroimage.2005.04.034 IS - 3 J2 - Neuroimage KW - Algorithms Brain Mapping Cerebral Cortex/*physiology/radionuclide imaging Databases, Factual Emotions/physiology Gyrus Cinguli/*physiology/radionuclide imaging Humans Memory/*physiology Pain/physiopathology/*psychology/radionuclide imaging Stress Disorders, Post-Traumatic/physiopathology LA - eng PY - 2005 SN - 1053-8119 1053-8119 SP - 520-532 ST - Mining the posterior cingulate: segregation between memory and pain components T2 - NeuroImage TI - Mining the posterior cingulate: segregation between memory and pain components VL - 27 ID - 289 ER - TY - CONF AB - Conventional tools for automatic metadata creation mostly extract named entities or patterns from texts and annotate them with information about persons, locations, dates, and so on. However, this kind of entity type information is often too primitive for more advanced intelligent applications such as concept-based search. Here, we try to generate semantically-deep metadata with limited human intervention. The main idea behind our approach is to use Web mining and categorization techniques to create thematic metadata. The proposed approach, comprises of three computational modules: feature extraction, HCQF (hier-concept query formulation) and text instance categorization. The feature extraction module sends the name of text instances to Web search engines, and the returned highly-ranked search-result pages are used to describe them. AU - Chien-Chung, Huang AU - Shui-Lung, Chuang AU - Lee-Feng, Chien C3 - Proceedings. 20th International Conference on Data Engineering, 30 March-2 April 2004 DA - 2004 KW - data mining feature extraction Internet meta data query formulation Search Engines text analysis PB - IEEE Comput. Soc. PY - 2004 SP - 834 ST - Mining the Web for generating thematic metadata from textual data T3 - Proceedings. 20th International Conference on Data Engineering TI - Mining the Web for generating thematic metadata from textual data ID - 1586 ER - TY - CHAP A2 - Hobbs, M. A2 - Goscinski, A. M. A2 - Zhou, W. AB - Large scale distributed computing infrastructure captures the use of high number of nodes, poor communication performance and continously varying resources that are not available at any time. In this paper, we focus on the different tools available for mining traces of the activities of such aforementioned architecture. We propose new techniques for fast management of a frequent itemset mining parallel algorithm. The technique allow us to exhibit statistical results about the activity of more that one hundred PCs connected to the web. AU - Cerin, C. AU - Koskas, M. PY - 2005 SN - 3-540-29235-7 SP - 132-138 ST - Mining traces of large scale systems T2 - Distributed and Parallel Computing TI - Mining traces of large scale systems VL - 3719 ID - 2030 ER - TY - CONF AB - Proliferation of phishing attacks in recent years has presented an important cyber security research area. Over the years, there has been an increase in the technology, diversity, and sophistication of these attacks in response to increased user awareness and countermeasures. In this paper, we propose a novel scheme to automatically detect phishing URLs by mining and extracting Meta data on URLs from various Web services. Applying the proposed approach on real-world data sets, it is demonstrated that Logistic Regression classifier can achieve an overall accuracy of 97.2-99.8%, false positive rate of 0.1-1% and false negative rate of 0.7-6.5% in detecting phishing and non-phishing URLs. AU - Basnet, R. B. AU - Sung, A. H. C3 - 2012 Eleventh International Conference on Machine Learning and Applications (ICMLA), 12-15 Dec. 2012 DA - 2012 DO - 10.1109/ICMLA.2012.104 KW - Computer crime data mining meta data pattern classification Regression Analysis Web services PB - IEEE Computer Society PY - 2012 SP - 568-73 ST - Mining Web to Detect Phishing URLs T3 - 2012 Eleventh International Conference on Machine Learning and Applications (ICMLA) TI - Mining Web to Detect Phishing URLs UR - http://dx.doi.org/10.1109/ICMLA.2012.104 VL - vol.1 ID - 1638 ER - TY - JOUR AB - Background: Human disease often arises as a consequence of alterations in a set of associated genes rather than alterations to a set of unassociated individual genes. Most previous microarray-based meta-analyses identified disease-associated genes or biomarkers independent of genetic interactions. Therefore, in this study, we present the first meta-analysis method capable of taking gene combination effects into account to efficiently identify associated biomarkers (ABs) across different microarray platforms.Results: We propose a new meta-analysis approach called MiningABs to mine ABs across different array-based datasets. The similarity between paired probe sequences is quantified as a bridge to connect these datasets together. The ABs can be subsequently identified from an " improved" common logit model (c-LM) by combining several sibling-like LMs in a heuristic genetic algorithm selection process. Our approach is evaluated with two sets of gene expression datasets: i) 4 esophageal squamous cell carcinoma and ii) 3 hepatocellular carcinoma datasets. Based on an unbiased reciprocal test, we demonstrate that each gene in a group of ABs is required to maintain high cancer sample classification accuracy, and we observe that ABs are not limited to genes common to all platforms. Investigating the ABs using Gene Ontology (GO) enrichment, literature survey, and network analyses indicated that our ABs are not only strongly related to cancer development but also highly connected in a diverse network of biological interactions.Conclusions: The proposed meta-analysis method called MiningABs is able to efficiently identify ABs from different independently performed array-based datasets, and we show its validity in cancer biology via GO enrichment, literature survey and network analyses. We postulate that the ABs may facilitate novel target and drug discovery, leading to improved clinical treatment. Java source code, tutorial, example and related materials are available at " http://sourceforge.net/projects/miningabs/" . 2014 Cheng et al.; licensee BioMed Central Ltd. AU - Cheng, Chun-Pei AU - DeBoever, Christopher AU - Frazer, Kelly A. AU - Liu, Yu-Cheng AU - Tseng, Vincent S. DA - 2014 DO - 10.1186/1471-2105-15-173 IS - 1 J2 - BMC Bioinformatics KW - Diseases gene expression Genetic algorithms Surveys L1 - internal-pdf://2860117065/Cheng-2014-MiningABs_ Mining associated biomar.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 14712105 ST - MiningABs: Mining associated biomarkers across multi-connected gene expression datasets T2 - BMC Bioinformatics TI - MiningABs: Mining associated biomarkers across multi-connected gene expression datasets UR - http://dx.doi.org/10.1186/1471-2105-15-173 https://www-ncbi-nlm-nih-gov.ezproxy.lib.vt.edu/pmc/articles/PMC4068973/pdf/1471-2105-15-173.pdf VL - 15 ID - 1872 ER - TY - JOUR AB - The problem of missing values in data tables arises in almost all domains. With the volume of the information growing every day on the communication channels and the necessity of the integration of this data for data analysis and data mining, this reflects even more. In this paper with two step process first we recover missing values using Least Square method (LS) [1] then we use our own Density Based Class Boost Algorithm (DCBA) [2] in order to improve learner performance. In this process we model the data using Meta learner once when data tables have been cleaned (removing empty rows containing missing values), then when data has been recovered and lastly after application of The Mixture Model. In this paper our contributions are toward three issues: first the effect of data cleaning in the mean of losing data with missing cells in model performance, second the effect of Least Square method in data generation in such highly correlated features datasets and third the effect of the combination model in classifier performance. AU - Malazizi, L. DA - 2014/02/28/ IS - 3 J2 - Journal of Theoretical and Applied Information Technology KW - collections of physical data data analysis data mining least squares approximations mixture models PY - 2014 SN - 1992-8645 SP - 446-51 ST - The mixture model: combining least square method and density based class boost algorithm in producing missing data and better models T2 - Journal of Theoretical and Applied Information Technology TI - The mixture model: combining least square method and density based class boost algorithm in producing missing data and better models VL - 60 ID - 1510 ER - TY - CONF AB - As a powerful tool for summarizing the distributed medical information, Meta-analysis has played an important role in medical research in the past decades. In this paper, a more general statistical model for meta-analysis is proposed to integrate heterogeneous medical researches efficiently. The novel model, named mixture random effect model (MREM), is constructed by Gaussian Mixture Model (GMM) and unifies the existing fixed effect model and random effect model. The parameters of the proposed model are estimated by Markov Chain Monte Carlo (MCMC) method. Not only can MREM discover underlying structure and intrinsic heterogeneity of meta datasets, but also can imply reasonable subgroup division. These merits embody the significance of our methods for heterogeneity assessment. Both simulation results and experiments on real medical datasets demonstrate the performance of the proposed model. Springer-Verlag Berlin Heidelberg 2005. AU - Xia, Yinglong AU - Weng, Shifeng AU - Zhang, Changshui AU - Li, Shao C3 - 4th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2005, July 9, 2005 - July 11, 2005 DA - 2005 KW - Computer Simulation data mining Markov processes Mathematical models Metadata random processes Statistical methods N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2005 SN - 03029743 SP - 630-640 ST - Mixture random effect model based meta-analysis for medical data mining T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Mixture random effect model based meta-analysis for medical data mining VL - 3587 LNAI ID - 1788 ER - TY - JOUR AB - The concept of mine abstract resource layer was proposed for the first time based on resource-oriented idea and REST architecture. Function, document, interface and work flow of each heterogeneous network are abstracted as metadata of abstract resource which are marked by standard URI in the mine abstract resource layer, and the metadata are analyzed and processed in decision layer or intelligent analysis layer for correspond operation and analysis results. A design scheme of mobile digital office platform of mine based on REST architecture was proposed and implementing method was introduced that quickly integrated multi heterogeneous networks at a mobile terminal through an example of establishment of mobile office platform of Shenmu Zhangjiamao Coal Mining Co., Ltd.. The application showed that the mobile office platform runs stably with smooth operation, which improves working flexibility and efficiency greatly. AU - Lan, Wei AU - Di, Ming AU - Wang, Feng DA - 2012/09// IS - 9 J2 - Industry and Mine Automation KW - Coal meta data mining industry mobile computing network interfaces telecommunication terminals PY - 2012 SN - 1671-251X SP - 97-100 ST - Mobile Digital Office Platform of Mine Based on REST Architecture T2 - Industry and Mine Automation TI - Mobile Digital Office Platform of Mine Based on REST Architecture VL - 38 ID - 1250 ER - TY - JOUR AB - Background: Ecological momentary assessment (EMA) is a useful method to tap the dynamics of psychological and behavioral phenomena in real-world contexts. However, the response burden of (self-report) EMA limits its clinical utility. Objective: The aim was to explore mobile phone-based unobtrusive EMA, in which mobile phone usage logs are considered as proxy measures of clinically relevant user states and contexts. Methods: This was an uncontrolled explorative pilot study. Our study consisted of 6 weeks of EMA/unobtrusive EMA data collection in a Dutch student population (N=33), followed by a regression modeling analysis. Participants self-monitored their mood on their mobile phone (EMA) with a one-dimensional mood measure (1 to 10) and a two-dimensional circumplex measure (arousal/valence, -2 to 2). Meanwhile, with participants' consent, a mobile phone app unobtrusively collected (meta) data from six smartphone sensor logs (unobtrusive EMA: calls/short message service (SMS) text messages, screen time, application usage, accelerometer, and phone camera events). Through forward stepwise regression (FSR), we built personalized regression models from the unobtrusive EMA variables to predict day-to-day variation in EMA mood ratings. The predictive performance of these models (ie, cross-validated mean squared error and percentage of correct predictions) was compared to naive benchmark regression models (the mean model and a lag-2 history model). Results: A total of 27 participants (81%) provided a mean 35.5 days (SD 3.8) of valid EMA/unobtrusive EMA data. The FSR models accurately predicted 55% to 76% of EMA mood scores. However, the predictive performance of these models was significantly inferior to that of naive benchmark models. Conclusions: Mobile phone-based unobtrusive EMA is a technically feasible and potentially powerful EMA variant. The method is young and positive findings may not replicate. At present, we do not recommend the application of FSR-based mood prediction in real-world clinical settings. Further psychometric studies and more advanced data mining techniques are needed to unlock unobtrusive EMA's true potential. AU - Asselbergs, Joost AU - Ruwaard, Jeroen AU - Ejdys, Michal AU - Schrader, Niels AU - Sijbrandij, Marit AU - Riper, Heleen DA - 2016/03// DO - 10.2196/jmir.5505 IS - 3 PY - 2016 SN - 1438-8871 SP - e72 ST - Mobile Phone-Based Unobtrusive Ecological Momentary Assessment of Day-to-Day Mood: An Explorative Study T2 - Journal of Medical Internet Research TI - Mobile Phone-Based Unobtrusive Ecological Momentary Assessment of Day-to-Day Mood: An Explorative Study VL - 18 ID - 2026 ER - TY - CONF AB - This paper presents a system dedicated to support crises managers that is focused on the collaboration issues of the actors involved in the response. Based on context knowledge, decision makers' objectives and responders' capabilities, the system designs in a semi-automatic way a set of collaborative process alternatives that can optimize coordination activities during an ongoing crisis resolution. The technical design of the system mixes optimization algorithms with inference of logical rules on an ontology. Candidate processes are evaluated through multi-criteria decision analysis and proposed to the decision-makers with associated key performance indicators to help them with their choice. The overall approach is model driven through a crisis meta-model and an axiomatic theory of crisis management. AU - Bidoux, Loic AU - Pignon, Jean-Paul AU - Benaben, Frederick C3 - 11th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2014, May 1, 2014 - May 1, 2014 DA - 2014 KW - Algorithms Benchmarking decision making Inference engines Information systems Optimization Process design N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - The Pennsylvania State University PY - 2014 SP - 245-249 ST - A model driven system to support optimal collaborative processes design in crisis management T3 - ISCRAM 2014 Conference Proceedings - 11th International Conference on Information Systems for Crisis Response and Management TI - A model driven system to support optimal collaborative processes design in crisis management ID - 581 ER - TY - JOUR AB - This paper presents a new model for intrusion detection based on hierarchical neural networks. The model uses techniques of protocol analysis and data mining to construct features automatically. A new method with meta-learning is discussed, which divides the intricate task of intrusion detection into several single ones and equips intrusion detection system with better capacity of protecting from attack. AU - Yang, Zhi-Zhang AU - Lin, Bo-Gang AU - Ni, Yi-Tao DA - 2006 IS - SUPPL. J2 - Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis Sunyatseni KW - Computer crime Computer Networks feature extraction Flowcharting Learning algorithms Neural networks Pattern recognition security of data N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2006 SN - 05296579 SP - 201-204 ST - Model for intrusion detection based on hierarchical neural networks T2 - Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis Sunyatseni TI - Model for intrusion detection based on hierarchical neural networks VL - 45 ID - 611 ER - TY - JOUR AU - Hogan, Joseph W. AU - Laird, Nan M. DA - 1997 DP - Google Scholar IS - 3 L1 - internal-pdf://0363304213/Hogan-1997-MODEL-BASED APPROACHES TO ANALYSING.pdf PY - 1997 SP - 259-272 ST - MODEL-BASED APPROACHES TO ANALYSING INCOMPLETE LONGITUDINAL AND FAILURE TIME DATA T2 - Statistics in medicine TI - MODEL-BASED APPROACHES TO ANALYSING INCOMPLETE LONGITUDINAL AND FAILURE TIME DATA UR - http://onlinelibrary.wiley.com/doi/10.1002/(SICI)1097-0258(19970215)16:3%3C259::AID-SIM484%3E3.0.CO;2-S/full http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/(SICI)1097-0258(19970215)16:3%3C259::AID-SIM484%3E3.0.CO;2-S/asset/484_ftp.pdf?v=1&t=ititn21w&s=839f1470809b6b87267250f0bd00fdf401201595 VL - 16 Y2 - 2016/09/24/16:04:32 ID - 2415 ER - TY - JOUR AB - The multimedia metamodel defines platform-independent multimedia concepts, opening the way for novel approaches to designing content repurposing solutions. Designers can use the metamodel to create content and add metadata to existing content, simplifying content analysis and repurposing. This model-driven approach and proposed design solutions are useful not only for many multimedia designers and researchers, where the model-driven tools can help them create better multimedia interfaces, but also for lecturers and students of multimedia courses. In the latter case, the unified multimedia metamodel offers context for sometimes subtle relationships between multimedia concepts. The metamodel can also facilitate the collaborative creation of broader knowledge about multimedia phenomena. In our future work, we plan to extend the proposed metamodel and include domains from related fields, such as user modeling and intelligent tutoring systems that deal with high-level user models. We are also designing multimodal test environments, reusable multimedia components, and data mining tools for evaluating various aspects of multimedia and multimodal communication. AU - Obrenovic, Z. AU - Starcevic, D. AU - Selic, B. DA - 2004/01// DO - 10.1109/MMUL.2004.1261109 IS - 1 J2 - IEEE Multimedia KW - data models groupware hypermedia markup languages meta data multimedia communication Web sites PY - 2004 SN - 1070-986X SP - 62-71 ST - A model-driven approach to content repurposing T2 - IEEE Multimedia TI - A model-driven approach to content repurposing UR - http://dx.doi.org/10.1109/MMUL.2004.1261109 VL - 11 ID - 1033 ER - TY - JOUR AB - Known conceptual and technical limitations of mainstream environmental health data analysis have directed research to new avenues. The goal is to deal more efficiently with the inherent uncertainty and composite space-time heterogeneity of key attributes, account for multi-sourced knowledge bases (health models, survey data, empirical relationships etc.), and generate more accurate predictions across space-time. Based on a versatile, knowledge synthesis methodological framework, we introduce new space-time covariance functions built by integrating epidemic propagation models and we apply them in the analysis of existing flu datasets. Within the knowledge synthesis framework, the Bayesian maximum entropy theory is our method of choice for the spatiotemporal prediction of the ratio of new infectives (RNI) for a case study of flu in France. The space-time analysis is based on observations during a period of 15 weeks in 1998-1999. We present general features of the proposed covariance functions, and use these functions to explore the composite space-time RNI dependency. We then implement the findings to generate sufficiently detailed and informative maps of the RNI patterns across space and time. The predicted distributions of RNI suggest substantive relationships in accordance with the typical physiographic and climatologic features of the country. 2012 Springer Science+Business Media B.V. AU - Kolovos, Alexander AU - Angulo, Jose Miguel AU - Modis, Konstantinos AU - Papantonopoulos, George AU - Wang, Jin-Feng AU - Christakos, George DA - 2013 DO - 10.1007/s10661-012-2593-1 IS - 1 J2 - Environmental Monitoring and Assessment KW - Digital storage Environmental engineering Forecasting Maximum entropy methods L1 - internal-pdf://2651099597/Kolovos-2013-Model-driven development of covar.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 01676369 SP - 815-831 ST - Model-driven development of covariances for spatiotemporal environmental health assessment T2 - Environmental Monitoring and Assessment TI - Model-driven development of covariances for spatiotemporal environmental health assessment UR - http://dx.doi.org/10.1007/s10661-012-2593-1 VL - 185 ID - 507 ER - TY - JOUR AB - With rapidly growing interconnected collections of cultural materials, we need new approaches to information organization. We propose that schematic models which describe the content of documents rather than descriptions about the documents are the key for this new generation of descriptive systems. We explore process-oriented models implemented with linguistic frames as an approach to organizing a collection of rich content such as descriptions of history. We show how linguistic frames can implement the state-change model and how those frames might be applied to the organization of content such as history texts and complex materials such as historical newspapers. We focus on verb frames because we base our approach on state changes in entities which are described with verbs. We propose that systems of information organization for rich content such as historical texts be based on a "fabric" of entities and events. For instance, we describe incorporating into the fabric complex entities such as those with multiple parts. We also describe disaggregating complex events with sequences of related events which we call flows, as well as propose a flexible approach to grouping events and a schematic description of people including their mental states. Our approach is a companion to the original content and explicitly allows for versioning, metadata, and hierarchies of entity classes, as well as partonomies, functionality and instances. While our focus here is on history, the structures we define should be able to be applied across a variety of fields and they should be useful as targets for text mining. In a subsequent paper, we extend the fabric to use discourse elements to describe the relationships among events. AU - Allen, R. B. DA - 2013/07// DO - 10.1045/july2013-allen-pt1 IS - 7-8 J2 - D-Lib Magazine KW - data mining History Linguistics meta data text analysis PY - 2013 SN - 1082-9873 SP - 10-17 ST - Model-oriented Information Organization: Part 1, The Entity-event Fabric T2 - D-Lib Magazine TI - Model-oriented Information Organization: Part 1, The Entity-event Fabric UR - http://dx.doi.org/10.1045/july2013-allen-pt1 VL - 19 ID - 1368 ER - TY - BOOK A3 - Seitz, J. AB - Nowadays some online research platforms (e.g., Web of Science or IEEE Xplore) provide bibliographic content and tools to access, analyze, and manage the world's leading journals and conference proceedings in sciences, social science, arts, and humanities. However, when facing increasingly mass literature, it's very difficult for researchers to effectively and systematically acquire the knowledge structure about a particular topic by using traditional literature reviewing method. Therefore we need explore new knowledge discovery tools for knowledge representation in an effective and efficient way. This paper proposes a knowledge system meta-network model by identifying the concepts representing entities and relationships from bibliometric data, and a methodology framework for meta-network modeling and analysis by using integrated techniques, including text mining, network text analysis, social network analysis, longitudinal network analysis and visualization. Case study using the Web of Science database as data source, explores the knowledge structure and interdisciplinary cooperation mode, as well as hot topics evolution in the field of World Trade Web. AU - Liu, Xiao AU - Wang, Jun DA - 2014 PY - 2014 SN - 978-0-9800510-7-0 ST - A Modeling and Analysis Framework for Knowledge System Based on Meta-Network Approach TI - A Modeling and Analysis Framework for Knowledge System Based on Meta-Network Approach ID - 2097 ER - TY - JOUR AB - Modern scientific collaborations require large-scale integration of various processes. Higher-level dataflow languages are used on top of parallel and distributed dataflow systems to enable faster data-intensive workflow programs development, their easier optimization, and more maintainable code. In this paper, we present the rationales, design, and application of the needed advanced support for modeling and optimizing data flows for data mining and integration processes. The optimization research and development is based on dataflow pre-execution modeling and extending the registry of process activities by advanced annotations. Additionally, the overall process from a dynamic model to a static model as input for the optimization algorithms is described. This novel approach is implemented within an advanced graphical user interface, called the Process Designer, in order to support semi-automatic optimization as well as within a dataflow execution platform, called the Gateway. It can be adapted to any dataflow language implementation. The Process Designer architecture based on modern (meta-)modeling concepts naturally supports validated transformations between external textual and internal graphical representations of the targeted dataflow language, and in this way significantly increases the productivity and robustness of the implementation processes. 2013 Elsevier B.V. All rights reserved. AU - Wohrer, Alexander AU - Brezany, Peter AU - Janciak, Ivan AU - Mehofer, Eduard DA - 2014 DO - 10.1016/j.future.2013.10.004 IS - 1 J2 - Future Generation Computer Systems KW - Algorithms Data flow analysis Data transfer Design Graphical user interfaces Models Optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 0167739X SP - 12-27 ST - Modeling and optimizing large-scale data flows T2 - Future Generation Computer Systems TI - Modeling and optimizing large-scale data flows UR - http://dx.doi.org/10.1016/j.future.2013.10.004 VL - 31 ID - 720 ER - TY - CONF AB - Risk Assessment is a common practice in the information system security domain, besides that it is a useful tool to assess risk exposure and drive management decisions. Cloud computing has been an emerging computing model in the IT field. It provides computing resources as general utilities that can be leased and released by users in an on-demand fashion. It is about growing interest in many companies around the globe, but adopting cloud computing comes with greater risks, which need to be assessed. The main target of risk assessment is to define appropriate controls for reducing or eliminating those risks. The goal of this paper was to use an ensemble technique to increase the predictive performance. The main idea of using ensembles is that the combination of predictors can lead to an improvement of a risk assessment model in terms of better generalization and/or in terms of increased efficiency. We conducted a survey and formulated different associated risk factors to simulate the data from the experiments. We applied different feature selection algorithms such as best-first and random search algorithms and ranking methods to reduce the attributes to 4, 5, and 10 attributes, which enabled us to achieve better accuracy. Six function approximation algorithms, namely Isotonic Regression, Randomizable Filter Classifier, Kstar, Extra tree, IBK, and the multilayered perceptron, were selected after experimenting with more than thirty different algorithms. Further, the meta-schemes algorithm named voting is adopted to improve the generalization performance of best individual classifier and to build highly accurate risk assessment model. Springer International Publishing Switzerland 2015. AU - Ahmed, Nada AU - Abraham, Ajith C3 - 4th World Congress on Information and Communication Technologies, WICT 2014, December 8, 2014 - December 11, 2014 DA - 2015 DO - 10.1007/978-3-319-17398-6_24 KW - Algorithms Approximation algorithms cloud computing data mining decision making Decision support systems Digital storage Filtration Information Management Risk Assessment Risk management Trees (mathematics) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 21945357 SP - 261-274 ST - Modeling cloud computing risk assessment using ensemble methods T3 - Advances in Intelligent Systems and Computing TI - Modeling cloud computing risk assessment using ensemble methods UR - http://dx.doi.org/10.1007/978-3-319-17398-6_24 VL - 355 ID - 1090 ER - TY - CONF AB - We describe the Data Mining OPtimization Ontology (DMOP), which was developed to support informed decision-making at various choice points of the knowledge discovery (KD) process. It can be used as a reference by data miners, but its primary purpose is to automate algorithm and model selection through semantic meta-mining, i.e., ontology-based meta-analysis of complete data mining processes in view of extracting patterns associated with mining performance. DMOP contains in-depth descriptions of DM tasks (e.g., learning, feature selection), data, algorithms, hypotheses (mined models or patterns), and workflows. Its development raised a number of non-trivial modeling problems, the solution to which demanded maximal exploitation of OWL 2 representational potential. We discuss a number of modeling issues encountered and the choices made that led to version 5.3 of the DMOP ontology. AU - Keet, C. Maria AU - Lawrynowicz, Agnieszka AU - D'Amato, Claudia AU - Hilario, Melanie C3 - 10th International Workshop on OWL: Experiences and Directions, OWLED 2013 - Co-located with 10th Extended Semantic Web Conference, ESWC 2013, May 26, 2013 - May 27, 2013 DA - 2013 KW - Birds data mining decision making Semantic Web Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - CEUR-WS PY - 2013 SN - 16130073 ST - Modeling issues and choices in the Data Mining OPtimization Ontology T3 - CEUR Workshop Proceedings TI - Modeling issues and choices in the Data Mining OPtimization Ontology VL - 1080 ID - 1832 ER - TY - JOUR AB - We describe a system for meta-analytical modeling of activation foci from functional neuroimaging studies. Our main vehicle is a set of density models in Talairach space capturing the distribution of activation foci in sets of experiments labeled by lobar anatomy. One important use of such density models is identification of novelty, i.e. low-probability database events. We rank the novelty of the outliers and investigate the cause for 21 of the most novel, finding several outliers that are entry and transcription errors or infrequent or non-conforming terminology. We briefly discuss the use of atlases for outlier detection. AU - Nielsen, F. A. AU - Hansen, L. K. DA - 2002/03// DO - 10.1002/hbm.10012 IS - 3 J2 - Human Brain Mapping KW - Brain data analysis data mining medical image processing medical information systems statistical analysis PY - 2002 SN - 1065-9471 SP - 146-56 ST - Modeling of activation data in the BrainMapTM database: detection of outliers T2 - Human Brain Mapping TI - Modeling of activation data in the BrainMapTM database: detection of outliers UR - http://dx.doi.org/10.1002/hbm.10012 VL - 15 ID - 1528 ER - TY - CONF AB - In order to acquire infrequent events as new ideas and evaluate the ideas quantitatively, it is necessary to know how people create and refine ideas and to model creating and refining process. In this paper, we focused on relations between thinking time and writing time in handwriting, and proposed to model the relation by externalization, classification, relation, transportation and systematization, which are elements to make sentences. The relation depended on questions and formats of sheets. When sheets give participants the question answered by sentences, writing time become longer as thinking time is longer. On the other hand, if sheets give the question which could be answered only by words, writing time become shorter as thinking time is longer. We hypothesized that participants spent more time classifying, relating and transporting words in answering only by words than in answering by sentences. We could also confirm that when the same questions were given twice, writing time became longer and thinking time became shorter second time than first time. It was because enough externalizations were performed first time and participants spent less time externalizing second time. 2014 IEEE. AU - Ikegami, Kenshin AU - Ohsawa, Yukio C3 - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014, December 14, 2014 DA - 2015 DO - 10.1109/ICDMW.2014.85 KW - data mining Models Technology transfer N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2015 SN - 23759232 SP - 447-454 ST - Modeling of writing and thinking process in handwriting by digital pen analysis T3 - IEEE International Conference on Data Mining Workshops, ICDMW TI - Modeling of writing and thinking process in handwriting by digital pen analysis UR - http://dx.doi.org/10.1109/ICDMW.2014.85 VL - 2015-January ID - 1211 ER - TY - CONF AB - Web log files store data related to the use of a website. Analyzing these data in detail is therefore crucial for improving the user browsing experience. However, usually Web log data are stored in flat files in different formats which hinders their analysis, thus obliging to use specific Web log analysis tools. In this context, approaches for structuring Web log data to better analyze them are highly required. To this aim, in this paper we propose a metamodel for Web log data in order to unify features of every available format at the same time that unnecessary technical details are omitted. This metamodel supports the design of Web log models regardless the format of the Web log files. A set of guidelines have been also proposed to define a multidimensional schema of a data warehouse from our Web log model to be used in advanced analysis tools such as OLAP (OnLine Analytical Processing) or data mining tools in order to enhance the analysis of Web usage by means of log data. 2010 IEEE. AU - Hernandez, Paul AU - Garrigos, Irene AU - Mazon, Jose-Norberto C3 - 21st International Workshop on Database and Expert Systems Applications, DEXA 2010, August 30, 2010 - September 3, 2010 DA - 2010 DO - 10.1109/DEXA.2010.65 KW - data mining Data processing Data reduction Data warehouses Expert systems Problem solving N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 SP - 297-301 ST - Modeling Web logs to enhance the analysis of Web usage data T3 - Proceedings - 21st International Workshop on Database and Expert Systems Applications, DEXA 2010 TI - Modeling Web logs to enhance the analysis of Web usage data UR - http://dx.doi.org/10.1109/DEXA.2010.65 ID - 1531 ER - TY - JOUR AB - Summarized text is a simplified and condensed version of the original text containing highlighted information to help the audience get the gist in a short period of time. Typically, text summarization produces abstract or a paragraph-like outputs by omitting details and irrelevant information. However, the text summary can also be produced in a visualized form, such as a chart, graph or table representing a collection of similar cases. The visualized version generates a statistical-like presentation, which often involves numerical and ordinal observation of the gathered knowledge from the text. This requires lexical syntactic understanding of the text. Essential to achieve this goal is topic identification, message analysis/interpretation and knowledge summarization generation. The objective of this study is to model knowledge summarization problem using the evolving fuzzy grammar technique and we focus on metadata generation for producing visualized knowledge summarization. The process comprises of: (i) identifying the underlying structure of the texts for knowledge summarization, (ii) represent the identified knowledge for summarization manipulation and (iii) presentation of the summarized knowledge. A prototype called FTCat is developed as a proof of concept and we demonstrate its practicality in summarizing news reports. AU - Sharef, N. M. AU - Hahn, A. A. AU - Mustapha, N. DA - 2013 DO - 10.3844/ajassp.2013.606.614 IS - 6 J2 - American Journal of Applied Sciences KW - data mining data structures data visualisation fuzzy set theory grammars meta data text analysis PY - 2013 SN - 1546-9239 SP - 606-14 ST - Modelling knowledge summarization by evolving fuzzy grammar T2 - American Journal of Applied Sciences TI - Modelling knowledge summarization by evolving fuzzy grammar UR - http://dx.doi.org/10.3844/ajassp.2013.606.614 VL - 10 ID - 1179 ER - TY - CONF AB - The process of selecting open-source software (OSS) for adoption is not straightforward as it involves exploring various sources of information to determine the quality, maturity, activity, and user support of each project. In the context of the OSSMETER project, we have developed a forge-agnostic metamodel that captures the meta-information common to all OSS projects. We specialise this metamodel for popular OSS forges in order to capture forge-specific meta-information. In this paper we present a dataset conforming to these meta-models for over 500,000 OSS projects hosted on three popular OSS forges: Eclipse, SourceForge, and GitHub. The dataset enables different kinds of automatic analysis and supports objective comparisons of cross-forge OSS alternatives with respect to a user's needs and quality requirements. Copyright 2014 ACM. AU - Williams, James R. AU - Di Ruscio, Davide AU - Matragkas, Nicholas AU - Di Rocco, Juri AU - Kolovos, Dimitrios S. C3 - 11th International Working Conference on Mining Software Repositories, MSR 2014, May 31, 2014 - June 1, 2014 DA - 2014 DO - 10.1145/2597073.2597132 KW - data mining Open source software open systems software engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2014 SP - 408-411 ST - Models of OSS project meta-information: A dataset of three forges T3 - 11th Working Conference on Mining Software Repositories, MSR 2014 - Proceedings TI - Models of OSS project meta-information: A dataset of three forges UR - http://dx.doi.org/10.1145/2597073.2597132 ID - 1621 ER - TY - JOUR AB - Systematic reviews are being increasingly used to inform all levels of healthcare, from bedside decisions to policy-making. Since they are designed to minimize bias and subjectivity, they are a preferred option to assess the comparative effectiveness and safety of healthcare interventions. However, producing systematic reviews and keeping them up-to-date is becoming increasingly onerous for three reasons. First, the body of biomedical literature is expanding exponentially with no indication of slowing down. Second, as systematic reviews gain wide acceptance, they are also being used to address more complex questions (e.g., evaluating the comparative effectiveness of many interventions together rather than focusing only on pairs of interventions). Third, the standards for performing systematic reviews have become substantially more rigorous over time. To address these challenges, we must carefully prioritize the questions that should be addressed by systematic reviews and optimize the processes of research synthesis. In addition to reducing the workload involved in planning and conducting systematic reviews, we also need to make efforts to increase the transparency, reliability and validity of the review process; these aims can be grouped under the umbrella of 'modernization' of the systematic review process. AU - Wallace, Byron C. AU - Dahabreh, Issa J. AU - Schmid, Christopher H. AU - Lau, Joseph AU - Trikalinos, Thomas A. DA - 2013/05// DO - 10.2217/CER.13.17 IS - 3 PY - 2013 SN - 2042-6305 SP - 273-282 ST - Modernizing the systematic review process to inform comparative effectiveness: tools and methods T2 - Journal of Comparative Effectiveness Research TI - Modernizing the systematic review process to inform comparative effectiveness: tools and methods VL - 2 ID - 1882 ER - TY - JOUR AB - Background: Pre-eclampsia is the most common complication occurring during pregnancy. In the majority of cases, it is concurrent with other pathologies in a comorbid manner (frequent co-occurrences in patients), such as diabetes mellitus, gestational diabetes and obesity. Providing bronchial asthma, pulmonary tuberculosis, certain neurodegenerative diseases and cancers as examples, we have shown previously that pairs of inversely comorbid pathologies (rare co-occurrences in patients) are more closely related to each other at the molecular genetic level compared with randomly generated pairs of diseases. Data in the literature concerning the causes of pre-eclampsia are abundant. However, the key mechanisms triggering this disease that are initiated by other pathological processes are thus far unknown. The aim of this work was to analyse the characteristic features of genetic networks that describe interactions between comorbid diseases, using pre-eclampsia as a case in point. Results: The use of ANDSystem, Pathway Studio and STRING computer tools based on text-mining and database-mining approaches allowed us to reconstruct associative networks, representing molecular genetic interactions between genes, associated concurrently with comorbid disease pairs, including pre-eclampsia, diabetes mellitus, gestational diabetes and obesity. It was found that these associative networks statistically differed in the number of genes and interactions between them from those built for randomly chosen pairs of diseases. The associative network connecting all four diseases was composed of 16 genes (PLAT, ADIPOQ, ADRB3, LEPR, HP, TGFB1, TNFA, INS, CRP, CSRP1, IGFBP1, MBL2, ACE, ESR1, SHBG, ADA). Such an analysis allowed us to reveal differential gene risk factors for these diseases, and to propose certain, most probable, theoretical mechanisms of pre-eclampsia development in pregnant women. The mechanisms may include the following pathways: [TGFB1 or TNFA]-[IL1B]-[pre-eclampsia]; [TNFA or INS]-[NOS3]-[pre-eclampsia]; [INS]-[HSPA4 or CLU]-[pre-eclampsia]; [ACE]-[MTHFR]-[pre-eclampsia]. Conclusions: For pre-eclampsia, diabetes mellitus, gestational diabetes and obesity, we showed that the size and connectivity of the associative molecular genetic networks, which describe interactions between comorbid diseases, statistically exceeded the size and connectivity of those built for randomly chosen pairs of diseases. Recently, we have shown a similar result for inversely comorbid diseases. This suggests that comorbid and inversely comorbid diseases have common features concerning structural organization of associative molecular genetic networks. AU - Glotov, Andrey S. AU - Tiys, Evgeny S. AU - Vashukova, Elena S. AU - Pakin, Vladimir S. AU - Demenkov, Pavel S. AU - Saik, Olga V. AU - Ivanisenko, Timofey V. AU - Arzhanova, Olga N. AU - Mozgovaya, Elena V. AU - Zainulina, Marina S. AU - Kolchanov, Nikolay A. AU - Baranov, Vladislav S. AU - Ivanisenko, Vladimir A. DA - 2015/04/15/ DO - 10.1186/1752-0509-9-S2-S4 L1 - internal-pdf://1124734562/Glotov-2015-Molecular association of pathogene.pdf PY - 2015 SN - 1752-0509 SP - S4 ST - Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome) T2 - Bmc Systems Biology TI - Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome) UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4407242/pdf/1752-0509-9-S2-S4.pdf VL - 9 ID - 2286 ER - TY - JOUR AB - High-throughput '-omics' data can be combined with large-scale molecular interaction networks, for example, protein-protein interaction networks, to provide a unique framework for the investigation of human molecular biology. Interest in these integrative '-omics' methods is growing rapidly because of their potential to understand complexity and association with disease; such approaches have a focus on associations between phenotype and "network-type." The potential of this research is enticing, yet there remain a series of important considerations. Here, we discuss interaction data selection, data quality, the relative merits of using data from large high-throughput studies versus a meta-database of smaller literature-curated studies, and possible issues of sociological or inspection bias in interaction data. Other work underway, especially international consortia to establish data formats, quality standards and address data redundancy, and the improvements these efforts are making to the field, is also evaluated. We present options for researchers intending to use large-scale molecular interaction networks as a functional context for protein or gene expression data, including microRNAs, especially in the context of human disease. AU - Schramm, Sarah-Jane AU - Jayaswal, Vivek AU - Goel, Apurv AU - Li, Simone S. AU - Yang, Yee Hwa AU - Mann, Graham J. AU - Wilkins, Marc R. DA - 2013/12//undefined DO - 10.1002/pmic.201200570 IS - 23-24 J2 - Proteomics KW - *Protein Interaction Maps Databases, Protein/standards data mining Humans Integrative omics Interactome MicroRNAs/genetics Molecular Sequence Annotation Neoplasms/*metabolism Network Protein Interaction Mapping Protein-protein interaction Proteome/genetics/metabolism RNA Interference Systems Biology LA - eng PY - 2013 SN - 1615-9861 1615-9853 SP - 3393-3405 ST - Molecular interaction networks for the analysis of human disease: utility, limitations, and considerations T2 - Proteomics TI - Molecular interaction networks for the analysis of human disease: utility, limitations, and considerations VL - 13 ID - 370 ER - TY - CONF AB - A number of applications deal with monitoring moving objects: cars, aircrafts, ships, persons, etc. Traditionally, this requires capturing data from sensor networks, image or video analysis, or using other application-specific resources. We show in this demonstration paper howWeb content can be exploited instead to gather information (tra-jectories, metadata) about moving objects. As this content is marred with uncertainty and inconsistency, we develop a methodology for estimating uncertainty and filtering the resulting data. We present as an application a demonstration of a system that constructs tra-jectories of ships from social networking data, presenting to a user inferred trajectories, meta-information, as well as uncertainty levels on extracted information and trustworthiness of data providers. Copyright 2014 ACM. AU - Lamine, Mouhamadou AU - Montenez, Ba Sebastien AU - Abdessalem, Talel AU - Senellart, Pierre C3 - 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2014, November 4, 2014 - November 7, 2014 DA - 2014 DO - 10.1145/2666310.2666370 KW - Geographic information systems Information systems Sensor networks Ships Trajectories Uncertainty analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2014 SP - 565-568 ST - Monitoring moving objects using uncertain web data T3 - GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems TI - Monitoring moving objects using uncertain web data UR - http://dx.doi.org/10.1145/2666310.2666370 http://dl.acm.org/citation.cfm?doid=2666310.2666370 VL - 04-07-November-2014 ID - 689 ER - TY - CONF AB - We propose a methodology to monitor the quality of the meta-data used to describe content in web portals. It is based on the analysis of the meta-data using statistics, visualization and data mining tools. The methodology enables the site's editor to detect and correct problems in the description of contents, thus improving the quality of the web portal and the satisfaction of its users. We also define a general architecture for a platform to support the proposed methodology. We have implemented this platform and tested it on a Portuguese portal for management executives. The results validate the methodology proposed. Springer-Verlag Berlin Heidelberg 2005. AU - Soares, Carlos AU - Jorge, Alipio Mario AU - Domingues, Marcos Aurelio C3 - 12th Portuguese Conference on Artificial Intelligence, EPIA 2005 - Progress in Artificial Intelligence, December 5, 2005 - December 8, 2005 DA - 2005 DO - 10.1007/11595014_37 KW - data mining Metadata portals Problem solving Statistical methods User interfaces N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2005 SN - 03029743 SP - 371-382 ST - Monitoring the quality of meta-data in web portals using statistics, visualization and data mining T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Monitoring the quality of meta-data in web portals using statistics, visualization and data mining UR - http://dx.doi.org/10.1007/11595014_37 VL - 3808 LNCS ID - 1837 ER - TY - JOUR AB - This review is a meta-analysis of data describing proteins regulated by morphine influence studied worldwide across last years administration. Up to date (July 2010), 15 studies concerning this subject have been published. Animal models, examined brain structures, the route of morphine administration and proteomic platforms used for identification of differentially expressed proteins were described. Standardization of obtained results allowed for creation of database of proteins, whose expression was altered by morphine administration (www.addiction-proteomics.org). Their analysis by tools available in Celera Panther Database was possible too. Proteins, which seem to be the most promising candidates for further research, due to their consistent appearance in different studies, were indicated. Created database may facilitate further studies by providing a possibility to compare results obtained during different experiments. At the end, dynamic picture of proteome after morphine administration, which emerges from the obtained results, is discussed and need for standardization of proteomics experiments is stressed. As meta-analysis is a very powerful tool for evaluation and comparison of multiple data. We believe this approach will be useful in the nearest future to extract vital information from a vast number of similar publications. Morphinome database created already by our group is a comfortable tool for validation and verification of new data received after morphine influence on proteomes investigations. It gives a chance for fast comparison of results without hours spent on life science literature mining. AU - Bodzon-Kulakowska, Anna AU - Kulakowski, Konrad AU - Drabik, Anna AU - Moszczynski, Adam AU - Silberring, Jerzy AU - Suder, Piotr DA - 2011/01//undefined DO - 10.1002/pmic.200900848 IS - 1 J2 - Proteomics KW - *Computational Biology *Proteomics Animals Databases, Protein Humans Morphine Dependence/*metabolism L1 - internal-pdf://1566288819/Bodzon-Kulakows-2011-Morphinome--a meta-analys.pdf LA - eng PY - 2011 SN - 1615-9861 1615-9853 SP - 5-21 ST - Morphinome--a meta-analysis applied to proteomics studies in morphine dependence T2 - Proteomics TI - Morphinome--a meta-analysis applied to proteomics studies in morphine dependence UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/pmic.200900848/asset/5_ftp.pdf?v=1&t=itiqi0fz&s=93a32c0d71ea176673c73523d76400e4437cb38e VL - 11 ID - 103 ER - TY - CHAP AB - This is the protocol for a review and there is no abstract. The objectives are as follows: To summarise the effects of repellents on preventing new cases of Plasmodium falciparum andPlasmodium vivax malaria. Specifically, to summarise and evaluate the effect of: * Insecticide treated clothing (ITC); * Topical repellents; and * Spatial repellents. AU - Maia, Marta F. AU - Kliner, Merav AU - Richardson, Marty AU - Lengeler, Christian AU - Moore, Sarah J. DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD011595/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2015 ST - Mosquito repellents for malaria prevention T2 - Cochrane Database of Systematic Reviews TI - Mosquito repellents for malaria prevention UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD011595/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD011595/full Y2 - 2016/09/18/20:15:38 ID - 436 ER - TY - CONF AB - Data broadcasting services are required to provide user interactivity through connecting additional contents such as object information to audio-visual contents. H.264/AVC-based metadata authoring tools include functions which identify and track position and motion of objects. In this work, we propose a method for tracking the target object by using partially decoded texture data and motion vectors extracted directly from H.264/AVC bitstream. This method achieves low computational complexity and high performance through the dissimilarity energy minimization algorithm which tracks feature points adaptively according to these characteristics. The experiment has shown that the proposed method had high performance with fast processing time. AU - Wonsang, You AU - Houari Sabirin, M. S. AU - Munchurl, Kim C3 - Multimedia Content Analysis and Mining. International Workshop, MCAM 2007, 30 June-1 July 2007 DA - 2007 KW - broadcasting Computational complexity decoding dynamic programming image motion analysis image texture meta data object detection target tracking video coding PB - Springer-Verlag PY - 2007 SP - 483-92 ST - Moving object tracking in H.264/AVC bitstream T3 - Multimedia Content Analysis and Mining. International Workshop, MCAM 2007 TI - Moving object tracking in H.264/AVC bitstream ID - 804 ER - TY - CONF AB - This article describes a new approach of HTML pages search via Internet, which is based on the semantic understanding of pages content by means of multi-agent technology. Multi-agent text understanding system, which is the basis of the approach, converts an input query and pages, received from conventional search engines, to formalized semantic descriptors, and evaluates similarity of these descriptors. Both text understanding and descriptor comparison algorithms use the knowledge about problem domain, represented in open and easy-to-update form of ontology. The approach developed was applied to the analysis of web-pages related to car industry. As a result a meta search engine was developed, capable of analyzing pages, retrieved from traditional search engines and sorting pages by their semantic relevance to the user request. In this article one will find description of the system, testing results and future perspectives. Springer-Verlag Berlin Heidelberg 2007. AU - Kanteev, Marat AU - Minakov, Igor AU - Rzevski, George AU - Skobelev, Petr AU - Volman, Simon C3 - 2nd International Workshop Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2007, June 3, 2007 - June 5, 2007 DA - 2007 KW - Multi agent systems Online searching ontology query processing Search Engines Semantics Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2007 SN - 03029743 SP - 269-274 ST - Multi-agent meta-search engine based on domain ontology T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Multi-agent meta-search engine based on domain ontology VL - 4476 LNAI ID - 1438 ER - TY - JOUR AB - When therapy using interferon medication for chronic hepatitis patients, various conceptual knowledge/rules will benefit for giving a treatment. The paper describes our work on cooperatively using various data mining agents including GDT-RS, learning with ordered information (LOI), and peculiarity oriented mining (POM) in a spiral discovery process with the multi-phase such as pre-processing, rule mining, and post-processing, for multi-aspect analysis of the hepatitis data and meta learning. GDT-RS is an inductive learning system for discovering decision rules. LOI discovers ordering rules and important features. POM finds peculiarity data/rules. Our methodology and experimental results show that the perspective of medical doctors will be changed from a single type of experimental data analysis towards a holistic view, by using our multi-aspect mining approach. AU - Ohshima, Muneaki AU - Zhong, Ning AU - Dong, Juzhen AU - Yokoi, Hideto DA - 2009/09// DO - 10.1142/S0219622009003478 IS - 3 PY - 2009 SN - 0219-6220 SP - 445-472 ST - MULTI-ASPECT MINING IN HEPATITIS DATA T2 - International Journal of Information Technology & Decision Making TI - MULTI-ASPECT MINING IN HEPATITIS DATA VL - 8 ID - 1990 ER - TY - CONF AB - Analysts who are using visualization methods for big data concept exploration increasingly expect to comprehend more distinct relationships and prominent concepts in support of their hypotheses or decisions. To expedite this knowledge discovery process, Vector Space Modeling (VSM) in conjunction with probabilistic analysis enables rapid knowledge-based relationship discovery while allowing for exploration of multi-embedded concepts than otherwise it is difficult to perceive. In this paper, we present a technique for intrinsic ontology concepts similarity matching based on VSM for exploitation and knowledge discovery from multimodality sensors metadata generated in Persistent Surveillance Systems (PSS). To reduce data dimensionality, Principal Component Analysis (PCA) and Latent Dirichlet Allocation (LDA) is applied to arrive at more abstract concepts. The proposed technique is able to reveal intrinsic concept relationships from multi-dimensional metadata structures. Experimental results demonstrate effectiveness of this approach for analytical ontological patterns exploitation. In this paper, the expediency of this technique for Visual Analytics application is demonstrated. The result indicates that the newly developed system can significantly enhance situation awareness and expedite actionable decision making. AU - Habibi, M. S. AU - Shirkhodaie, A. C3 - Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, 5 May 2014 DA - 2014 DO - 10.1117/12.2050918 KW - Big data data mining Data reduction data structures data visualisation meta data ontologies (artificial intelligence) Principal Component Analysis Probability sensor fusion L1 - internal-pdf://2478499907/Habibi-2014-Multi-Attributed Tagged Big Data E.pdf PB - SPIE - The International Society for Optical Engineering PY - 2014 SN - 0277-786X SP - 90910W-(12 pp.) ST - Multi-Attributed Tagged Big Data Exploitation for Hidden Concepts Discovery T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE, Int. Soc. Opt. Eng. (USA) TI - Multi-Attributed Tagged Big Data Exploitation for Hidden Concepts Discovery UR - http://dx.doi.org/10.1117/12.2050918 http://proceedings.spiedigitallibrary.org.ezproxy.lib.vt.edu/data/Conferences/SPIEP/79954/90910W.pdf VL - 9091 ID - 1181 ER - TY - JOUR AB - This paper presents a method of construction of a multidimensional data model based on relational databases and XML technology. It discusses the system structure of the data warehouse, construction of logical multidimensional data model based on object-oriented technology, and storage of the multidimensional data model's metadata by an XML document. If there are extraction and transformation and summary tools we can construct a data warehouse system. So we can analyse data through OLAP and data mining. AU - Sun, Huan-liang AU - Li, Tong AU - Lu, Li AU - Zhang, Xiao-shan DA - 2002/11// IS - 11 J2 - Mini-Micro Systems KW - data mining data models Data warehouses hypermedia markup languages meta data object-oriented databases relational databases PY - 2002 SN - 1000-1220 SP - 1306-9 ST - Multi-dimensional data model of data warehouse based on XML technology T2 - Mini-Micro Systems TI - Multi-dimensional data model of data warehouse based on XML technology VL - 23 ID - 1280 ER - TY - CONF AB - Modality is a key facet in medical image retrieval, as a user is likely interested in only one of e.g. radiology images, flowcharts, and pathology photos. While assessing image modality is trivial for humans, reliable automatic methods are required to deal with large un-annotated image bases, such as figures taken from the millions of scientific publications. We present a multi-disciplinary approach to tackle the classification problem by combining image features, meta-data, textual and referential information. Our system achieved an accuracy of 96.86% in cross-validation on the ImageCLEF 2011 training dataset having 18 imbalanced modality classes, and an accuracy of 90.2% on the Image- CLEF2010 dataset having 8 well-balanced modality classes. We evaluate the importance of the individual feature sets in detail, and provide an error analysis pointing at weaknesses of our method and obstacles in the classification task. For the benefit of the image classification community, we make the results of our feature extraction methods publicly available at http://categorizer.tmit.bme.hu/illes/imageclef2011modality. Keywords: image classification, image feature extraction, image modality, text mining. AU - Gal, Viktor AU - Solt, Illes AU - Gedeon, Tom AU - Nachtegael, Mike C3 - 2011 Cross Language Evaluation Forum Conference, CLEF 2011, September 19, 2011 - September 22, 2011 DA - 2011 KW - Classification (of information) data mining Extraction feature extraction image classification Image processing image retrieval Medical imaging Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - CEUR-WS PY - 2011 SN - 16130073 ST - Multi-disciplinary modality classification for medical images T3 - CEUR Workshop Proceedings TI - Multi-disciplinary modality classification for medical images VL - 1177 ID - 782 ER - TY - CONF AB - The vast amount of information in the Internet is not easy to find and use. Information Extraction technology is one of alternatives that can solve this problem. Conventional Natural Language Processing approach is hampered by its portability, scalability and adaptability. Introduction of Machine Learning into Information Extraction is one of solutions. Inductive Learning only needs annotated training examples. The problem is there is no performance consistency of algorithms on various information domains. Automatic and smart classifier selection from various machine learning algorithms is one of the best way to handle this problem. The goal of this paper is to propose a method for Information Extraction System based on Inductive Learning and Meta Learning that have good performance. In this paper Multi-Inductive Learning is developed to answer that question. Multi-Inductive Learning is consist of several Inductive Learning algorithms that have significant difference in their mechanism. This is to ensure there is bias variance in this method. Through k-fold cross validation on training document, Multi-Inductive Learning algorithm can choose the best classifier for each slot on a certain domain. These best classifiers then employ to do full extraction on testing document. The conducted experiment shows that Multi-Inductive Learning has better performance than that of single Inductive Learning algorithm-based Information Extraction systems. On Reuters Corporate Acquisition, Multi-Inductive Learning gives a score of 46.3 % and has the best performance among other state of the art information systems. Out of nine slots that should be extracted, six of them give the best performance. Multi-Inductive Learning also gives better performance on Job Posting dataset. Average performance of it gives 82.1 % and is the best among other state of the art of Information Extraction. Out of 17 slots that should be tested, nine of them are extracted with the best performance. 2011 IEEE. AU - Muludi, Kurnia AU - Widyantoro, Dwi H. AU - Kuspriyanto AU - Santoso, Oerip S. C3 - 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011, July 17, 2011 - July 19, 2011 DA - 2011 DO - 10.1109/ICEEI.2011.6021680 KW - Computational linguistics Electrical engineering Information analysis information retrieval systems Learning algorithms Learning systems Mergers and acquisitions Natural language processing systems Problem solving N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 SP - IEEE-Indonesia Section; IEEE Eng. Med. Biol. Soc. - Indonesia Chapter; IEEE Circuit and Systems Society - Indonesia Chapter; IEEE Electron Devices, Educ., Signal Process.,; Power Energy Syst. Soc. - Indonesia Jt. Chapter ST - Multi-Inductive Learning approach for Information Extraction T3 - Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 TI - Multi-Inductive Learning approach for Information Extraction UR - http://dx.doi.org/10.1109/ICEEI.2011.6021680 ID - 1188 ER - TY - CONF AB - Document clustering is an unsupervised machine learning method that separates a large subject heterogeneous collection (Document Base or Corpus) into smaller, more manageable subject homogeneous collections (clusters). Traditional method of document clustering uses features like words, sequence, phrases, etc. These features are independent to each other and do not cater semantics. In order to perform semantic viable clustering, we believe that the problem of document clustering has two main components: (1) to represent the document in such a form that it inherently captures semantics of the text. This may also help to reduce dimensionality of the document and (2) to define a similarity measure based on the semantic representation such that it assigns higher numerical values to document pairs which have higher semantic relationship. In this paper, we propose a representation of document, based on three distinct layers: these are lexical, syntactic and semantic layers. We believe that these three layers are essential to ensure semantics into document meta descriptor. Using these three layer's features we propose a similarity function for performing document clustering. We performed an extensive series of experiments on standard text mining data sets with external clustering evaluations like: F-Measure and Purity. 2016 Copyright held by the owner/author(s). AU - Rafi, Muhammad AU - Sharif, Muhammad Naveed AU - Arshad, Waleed AU - Mohsin, Sheharyar AU - Rafay, Habibullah C3 - 6th International Conference on Web Intelligence, Mining and Semantics, WIMS 2016, June 13, 2016 - June 15, 2016 DA - 2016 DO - 10.1145/2912845.2912880 KW - artificial intelligence Cluster Analysis data mining information retrieval Learning systems Semantics Semantic Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2016 ST - Multi-layer semantics based document clustering T3 - ACM International Conference Proceeding Series TI - Multi-layer semantics based document clustering UR - http://dx.doi.org/10.1145/2912845.2912880 VL - 13-15-June-2016 ID - 1035 ER - TY - RPRT AB - Empirically grounded multi-agent meta-network multi-level simulations were developed, tested, validated and then used to explain and predict socio-cultural outcomes. Virtual experiments employing real and virtual data were conducted examining the impact of group structure and the communication media on the evolution of the group, the culture and the change in sentiment. The Arab Spring was used as a case example. A formal theory of socio-cultural dynamics based on the co-evolution of self and the groups one is a member of was instantiated as multi-level construct. The results indicate that: model re-use for social-network diffusion models is feasible; adding social cognition to a multi-level model improves realism, accuracy of predictions, and decreases memory consumption and improves run-time speed. AU - Carley, K. M. CY - United States DA - 2014/11// KW - COMPUTERIZED SIMULATION Culture GROUP DYNAMICS Information processing MASS MEDIA MULTIAGENT SYSTEMS SOCIAL COMMUNICATION SOCIAL PSYCHOLOG N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 2014 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 13p ST - Multi-Level Cultural Models TI - Multi-Level Cultural Models ID - 629 ER - TY - JOUR AB - Image thresholding is well accepted and one of the most imperative practices to accomplish image segmentation. This has been widely studied over the past few decades. However, as the multi-level thresholding computationally takes more time when level increases, hence, in this article, quantum mechanism is used to propose six different quantum inspired meta-heuristic methods for performing multi-level thresholding faster. The proposed methods are Quantum Inspired Genetic Algorithm, Quantum Inspired Particle Swarm Optimization, Quantum Inspired Differential Evolution, Quantum Inspired Ant Colony Optimization, Quantum Inspired Simulated Annealing and Quantum Inspired Tabu Search. As a sequel to the proposed methods, we have also conducted experiments with the two-Stage multi-threshold Otsu method, maximum tsallis entropy thresholding, the modified bacterial foraging algorithm, the classical particle swarm optimization and the classical genetic algorithm. The effectiveness of the proposed methods is demonstrated on fifteen images at the different level of thresholds quantitatively and visually. Thereafter, the results of six quantum meta-heuristic methods are considered to create consensus results. Finally, statistical test, called Friedman test, is conducted to judge the superiority of a method among them. Quantum Inspired Particle Swarm Optimization is found to be superior among the proposed six quantum meta-heuristic methods and the other five methods are used for comparison. A Friedman test again conducted between the Quantum Inspired Particle Swarm Optimization and all the other methods to justify the statistical superiority. Finally, the computational complexities of the proposed methods have been elucidated for the sake of finding out the time efficiency of the proposed methods. AU - Dey, Sandip AU - Saha, Indrajit AU - Bhattacharyya, Siddhartha AU - Maulik, Ujjwal DA - 2014 DO - 10.1016/j.knosys.2014.04.006 DP - APA PsycNET KW - *Algorithms *Expert Systems *Heuristics *Mathematical Modeling *Statistical Tests Data Mining Information Meta Analysis L1 - internal-pdf://3305865142/Dey-2014-Multi-level thresholding using quantu.pdf LA - English PY - 2014 SN - 0950-7051 SP - 373-400 ST - Multi-level thresholding using quantum inspired meta-heuristics T2 - Knowledge-Based Systems TI - Multi-level thresholding using quantum inspired meta-heuristics UR - http://psycnet.apa.org.ezproxy.lib.vt.edu/index.cfm?fa=search.displayRecord&id=3FADC1DE-9041-E9D3-1B0A-3623CB6197E7&resultID=6&page=1&dbTab=all&search=true http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0950705114001282/1-s2.0-S0950705114001282-main.pdf?_tid=931bcf7a-8332-11e6-b7e1-00000aacb35d&acdnat=1474816572_9e0c9bd0c6774e2dd8cbfe21dc6a3eb1 VL - 67 ID - 454 ER - TY - JOUR AB - Major depressive disorder (MDD) is a common psychiatric illness characterized by low mood and loss of interest in pleasurable activities. Despite years of effort, recent genome-wide association studies (GWAS) have identified few susceptibility variants or genes that are robustly associated with MDD. Standard single-SNP (single nucleotide polymorphism)-based GWAS analysis typically has limited power to deal with the extensive heterogeneity and substantial polygenic contribution of individually weak genetic effects underlying the pathogenesis of MDD. Here, we report an alternative, gene-set-based association analysis of MDD in an effort to identify groups of biologically related genetic variants that are involved in the same molecular function or cellular processes and exhibit a significant level of aggregated association with MDD. In particular, we used a text-mining-based data analysis to prioritize candidate gene sets implicated in MDD and conducted a multi-locus association analysis to look for enriched signals of nominally associated MDD susceptibility loci within each of the gene sets. Our primary analysis is based on the meta-analysis of three large MDD GWAS data sets (total N=4346 cases and 4430 controls). After correction for multiple testing, we found that genes involved in glutamatergic synaptic neurotransmission were significantly associated with MDD (set-based association P=6.9 x 10(-4)). This result is consistent with previous studies that support a role of the glutamatergic system in synaptic plasticity and MDD and support the potential utility of targeting glutamatergic neurotransmission in the treatment of MDD. AU - Lee, P. H. AU - Perlis, R. H. AU - Jung, J. Y. AU - Byrne, E. M. AU - Rueckert, E. AU - Siburian, R. AU - Haddad, S. AU - Mayerfeld, C. E. AU - Heath, A. C. AU - Pergadia, M. L. AU - Madden, P. A. F. AU - Boomsma, D. I. AU - Penninx, B. W. AU - Sklar, P. AU - Martin, N. G. AU - Wray, N. R. AU - Purcell, S. M. AU - Smoller, J. W. DA - 2012 DO - 10.1038/tp.2012.95 J2 - Transl Psychiatry KW - Depressive Disorder, Major/*genetics Genetic Predisposition to Disease Genome-Wide Association Study Glutamic Acid/*metabolism Humans Synaptic Transmission/*genetics/physiology L1 - internal-pdf://0421101832/Lee-2012-Multi-locus genome-wide association a.pdf LA - eng PY - 2012 SN - 2158-3188 2158-3188 SP - e184 ST - Multi-locus genome-wide association analysis supports the role of glutamatergic synaptic transmission in the etiology of major depressive disorder T2 - Translational psychiatry TI - Multi-locus genome-wide association analysis supports the role of glutamatergic synaptic transmission in the etiology of major depressive disorder UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3565768/pdf/tp201295a.pdf VL - 2 ID - 165 ER - TY - CONF AB - Text documents clustering is a popular unsupervised text mining tool. It is used for partitioning a collection of text documents into similar clusters based on the distance or similarity measure as decided by an objective function. Text clustering algorithm often makes prior assumptions to satisfy objective function, which is optimized either through traditional techniques or meta-heuristic techniques. In text clustering techniques, the right decision for any document distribution is done using an objective function. Normally, clustering algorithms perform poorly when the configuration of the well-formulated objective function is not sound and complete. Therefore, we proposed multi-objectives-based method namely, combine distance and similarity measure for improving the text clustering technique. Multi-objectives text clustering method is combined with two evaluating criteria which emerge as a robust alternative in several situations. In particular, the multi-objective function in the text clustering domain is not a popular, and it is a core issue that affects the performance of the text clustering technique. The performance of multi-objectives function is investigated using the k-mean text clustering technique. The experiments were conducted using seven standard text datasets. The results showed that the proposed multi-objectives based method outperforms the other measures in term of the performance of the text clustering, evaluated by using two common clustering measures, namely, Accuracy and F-measure. AU - Abualigah, L. M. AU - Khader, A. T. AU - Al-Betar, M. A. C3 - 2016 7th International Conference on Computer Science and Information Technology (CSIT), 13-14 July 2016 DA - 2016 DO - 10.1109/CSIT.2016.7549464 KW - data mining pattern clustering text analysis unsupervised learning PB - IEEE PY - 2016 SP - 6-pp. ST - Multi-objectives-based text clustering technique using K-mean algorithm T3 - 2016 7th International Conference on Computer Science and Information Technology (CSIT) TI - Multi-objectives-based text clustering technique using K-mean algorithm UR - http://dx.doi.org/10.1109/CSIT.2016.7549464 ID - 1319 ER - TY - JOUR AB - An increasing number of studies have profiled gene expressions in tumor specimens using distinct microarray platforms and analysis techniques. One challenging task is to develop robust statistical models in order to integrate multi-platform findings. We compare some methodologies on the field with respect to estrogen receptor (ER) status, and focus on a unified-among-platforms scale implemented by Shen et al. in 2004, which is based on a Bayesian mixture model. Under this scale, we study the ER intensity similarities between four breast cancer datasets derived from various platforms. We evaluate our results with an independent dataset in terms of ER sample classification, given the derived gene ER signatures of the integrated data. We found that integrated multi-platform gene signatures and fold-change variability similarities between different platform measurements can assist the statistical analysis of independent microarray datasets in terms of ER classification. AU - Tsiliki, Georgia AU - Zervakis, Michalis AU - Ioannou, Marina AU - Sanidas, Elias AU - Stathopoulos, Eustathios AU - Potamias, George AU - Tsiknakis, Manolis AU - Kafetzopoulos, Dimitris DA - 2011/11//undefined DO - 10.1109/TITB.2011.2158232 IS - 6 J2 - IEEE Trans Inf Technol Biomed KW - *Databases, Genetic *Models, Molecular *Models, Statistical *Systems Integration artificial intelligence Bayes Theorem Breast Neoplasms/genetics Computer Simulation Data Mining/*methods Female Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Microarray Analysis/*methods Receptors, Estrogen/*analysis Reproducibility of results LA - eng PY - 2011 SN - 1558-0032 1089-7771 SP - 806-812 ST - Multi-platform data integration in microarray analysis T2 - IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society TI - Multi-platform data integration in microarray analysis VL - 15 ID - 348 ER - TY - CONF AB - User-generated videos have become increasingly popular in recent years. Due to advances in camera technology it is now very easy and convenient to record videos with mobile devices, such as smartphones. Here we consider an application where users collect and share a large set of videos that are related to a geographic area, say a city. Such a repository can be a great source of information for prospective tourists when they plan to visit a city and would like to get a preview of its main areas. The challenge that we address is how to automatically create a preview video summary from a large set of source videos. The main features of our technique are that it is fully automatic and leverages meta-data sensor information which is acquired in conjunction with videos. The meta-data is collected from GPS and compass sensors and is used to describe the viewable scenes of the videos. Our method then proceeds in three steps through the analysis of the sensor data. First, we generate a single video summary. Shot boundaries are detected based on different motion types of camera movements and key frames are extracted related to motion patterns. Second, we build video skims for popular places (i.e., hotspots) aiming to provide maximal coverage of hotspot areas with minimal redundancy (per-spot multi-video summary). Finally, the individual hotspot skims are linked together to generate a pleasant video tour that visits all the popular places (multi-spot multi-video summary). 2012 ACM. AU - Zhang, Ying AU - Wang, Guanfeng AU - Seo, Beomjoo AU - Zimmermann, Roger C3 - 3rd ACM Multimedia Systems Conference, MMSys'12, February 22, 2012 - February 24, 2012 DA - 2012 DO - 10.1145/2155555.2155565 KW - Cameras Mobile devices multimedia systems Sensors Video recording N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2012 SP - 53-64 ST - Multi-video summary and skim generation of sensor-rich videos in geo-space T3 - MMSys'12 - Proceedings of the 3rd Multimedia Systems Conference TI - Multi-video summary and skim generation of sensor-rich videos in geo-space UR - http://dx.doi.org/10.1145/2155555.2155565 ID - 801 ER - TY - CONF AB - The proceedings contain 15 papers. The topics discussed include: adding new communication services to the FIPA message transport system; analysis of multi-agent interactions with process mining techniques; engineering agent conversations with the DIALOG framework; modeling and simulation of tests for agents; agent based simulation architecture for evaluating operational policies in transshipping containers; diagnosis of multi-agent plan execution; framework and complexity results for coordinating non-cooperative planning agents; a model driven approach to agent-based service-oriented architectures; meta-models, models, and model transformations: towards interoperable agents; formation of virtual organizations through negotiation; continuations and behavior components engineering in multi-agent systems; evaluating mobile agent platform security; and a new model for trust and reputation management with an ontology based approach for similarity between tasks. C3 - 4th German Conference on Multiagent System Technologies, MATES 2006, September 19, 2006 - September 20, 2006 DA - 2006 KW - Computer Simulation data mining Data transfer Multi agent systems Software agents Technical presentations Telecommunication services N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2006 SN - 03029743 ST - Multiagent System Technologies - 4th German Conference, MATES 2006, Proceedings T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Multiagent System Technologies - 4th German Conference, MATES 2006, Proceedings VL - 4196 LNAI ID - 990 ER - TY - JOUR AB - One of the important data mining method in biomedical research is classification task. Recent advances in biomedicine provide opportunities for molecular biology, such as measurement of activity of thousands of molecular tissue biomarkers. For example we can use data of gene expression measured by DNA microarrays or RNA-Seq technique, DNA methylation levels measured by DNA methylation microarrays or protein and phosphoprotein levels measured by reverse phase protein array. A big problem in applying large-scale genomic and proteomic data for classification problem is the dimension of these data. In this work, we propose novel multiclass feature selection and classification system for merged data from different molecular biomedical techniques. However, when we merge these data the biggest problem is the huge number of features with a limited number of samples. For that reason the feature selection step is crucial in high dimension data classification problem. Our results have shown that integrated analysis with proper feature selection and classification techniques used for large-scale meta-data can improve the classification accuracy and feature selection stability index. We have proofed, that for merged data we observe significantly higher classification accuracy for the same number of selected features as for single technique dataset. [All rights reserved Elsevier]. AU - Student, S. AU - Pieter, J. AU - Fujarewicz, K. DA - 2016 DO - 10.1016/j.protcy.2016.01.093 J2 - Procedia Technology KW - Biomedical engineering data mining DNA feature selection medical computing meta data Proteins RNA PY - 2016 SN - 2212-0173 SP - 938-45 ST - Multiclass Classification Problem of Large-Scale Biomedical Meta-Data T2 - Procedia Technology TI - Multiclass Classification Problem of Large-Scale Biomedical Meta-Data UR - http://dx.doi.org/10.1016/j.protcy.2016.01.093 VL - 22 ID - 1732 ER - TY - JOUR AB - A multidimensional analysis of machine learning methods performance in the classification of bioactive compounds was carried out. Eleven learning algorithms (including 4 meta-classifiers): J48, RandomForest, NaiveBayes, PART, Hyperpipes, SMO, Ibk, MultiBoostAB, Decorate, FilteredClassifier and Bagging, implemented in the WEKA package, were evaluated in the classification of 5 protein target ligands (cyclooxygenase-2, HIV-1 protease and metalloproteinase inhibitors, M1 and 5-HT1A agonists), using 8 different fingerprints for molecular representation (EStateFP, FP, ExtFP, GraphFP, KlekFP, MACCSFP, PubChemFP, and SubFP). The influence of the number of actives in the training data as well as the computational expenses expressed by the time required for building a predictive model was also taken into account. Tests were performed for sets containing a similar number of actives and inactives and also for datasets recreating virtual screening conditions. In order to facilitate the interpretation of results, the evaluating parameters (recall, precision, and MCC) values were presented in the form of heat maps. The classification of cyclooxygenase-2 inhibitors was almost perfect regardless of the conditions, yet the results for the rest of the targets varied between different experiments. The performance of machine learning methods was improved by increasing the number of actives in the training data; however, the moving to virtual screening conditions was generally connected with a significant fall in precision. Some methods, e.g. SMO, Bagging, Decorate and MultiBoostAB, were more stable regarding changes in classification conditions, whereas in the case of the others, such as NaiveBayes, J48 or Hyperpipes, the performance strongly varied between different datasets, fingerprints and targets. The application of meta-learning led to an increase in the values of evaluating parameters. KlekFP was a fingerprint which yielded the best results, although its use was connected with great computational expenses. On the other hand, EStateFP and SubFP gave worse results, especially in virtual screening-like conditions. [All rights reserved Elsevier]. AU - Smusz, S. AU - Kurczab, R. AU - Bojarski, A. J. DA - 2013/10/15/ DO - 10.1016/j.chemolab.2013.08.003 J2 - Chemometrics and Intelligent Laboratory Systems KW - Bayes methods biology computing data mining Enzymes learning (artificial intelligence) meta data molecular biophysics pattern classification PY - 2013 SN - 0169-7439 SP - 89-100 ST - A multidimensional analysis of machine learning methods performance in the classification of bioactive compounds T2 - Chemometrics and Intelligent Laboratory Systems TI - A multidimensional analysis of machine learning methods performance in the classification of bioactive compounds UR - http://dx.doi.org/10.1016/j.chemolab.2013.08.003 VL - 128 ID - 1446 ER - TY - CONF AB - Due to heavy traffic the network monitoring is very difficult and cumbersome job, hence the probability of network attacks increases substantially. So there is the need of extraction anomalies. Anomaly extraction means to find flows associated with the anomalous events, in a large set of flows observed during an anomalous time interval. Anomaly extraction is very important for root-cause analysis, network forensics, attack mitigation and anomaly modeling. To identify the suspicious flows, we use meta-data provided by several histogram based detectors and then apply association rule with multidimensional mining concept to find and summarize anomalous flows. By taking rich traffic data from a backbone network, we show that our technique effectively finds the flows associated with the anomalous events. So by applying multidimensional mining rule to extract anomaly, we can reduce the work-hours needed for analyzing alarms and making anomaly systems more effective. 2013 IEEE. AU - Patil, Pratima R. AU - Bhamare, Mamta C3 - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013, August 29, 2013 - August 31, 2013 DA - 2013 DO - 10.1109/ICACC.2013.8 KW - Association rules Computer crime data mining Extraction N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2013 SP - 5-8 ST - Multidimensional data mining for anomaly extraction T3 - Proceedings - 2013 3rd International Conference on Advances in Computing and Communications, ICACC 2013 TI - Multidimensional data mining for anomaly extraction UR - http://dx.doi.org/10.1109/ICACC.2013.8 ID - 1613 ER - TY - CONF AB - A new distributive analysis approach to retrieve multilingual hyperdocument is suggested. A set of general and computational knowledge, which is completely independent of the linguistic domains is used in this approach to learn about the number of languages involved in a web site. The mining process considers three main stages: pre-processing (hyperdocument vectoring), processing (clustering) and post processing (clusters pruning). The structural properties of the different meta-cluaters are extracted in order to predicate the nature of their inter-relations. AU - Nguyen, Tuan Dang AU - Zreik, Khaldoun C3 - Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004, April 19, 2004 - April 23, 2004 DA - 2004 KW - Computational methods data mining Data reduction Graph theory knowledge engineering Learning algorithms Learning systems Statistical methods Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2004 SP - 443-444 ST - Multilingual hyperdocument recognition: A document mining approach T3 - Proceedings - 2004 International Conference on Information and Communication Technologies: From Theory to Applications, ICTTA 2004 TI - Multilingual hyperdocument recognition: A document mining approach ID - 1381 ER - TY - CONF AB - This paper represents results from our ongoing research project in the foresight area. The goal of the project is to develop web based tools which automatically detect activity and trends regarding given keywords. This knowledge can be used to enable decision makers to react proactively to arising challenges. As for now we can detect trends worldwide in more than 60 languages and assign these trends accordingly to over 100 national states. To reach this goal we utilize the big search engines as their core competence is to determine the relevance of a document regarding the search query. The search engines allows slicing of the results by language and country. In the next step we download some of the proposed documents for analysis. Because of the amount of information required we reach the field of Big Data. Therefore an extra effort is made to ensure scalability of the application. We introduce a new approach to activity and trend detection by combining the data collection and detection methods. To finally detect trends in the gathered data we use data mining methods which allow us to be independent from the language a document is written in. The input of these methods is the text data of the downloaded documents and a specially prepared index structure containing meta data and various other information which accumulate during the collection of the documents. We show that we can reliably detect trends and activities in highly active topics and discuss future research. Jan Stutzki. AU - Stutzki, Jan C3 - 4th Student Conference on Operational Research, SCOR 2014, May 2, 2014 - May 4, 2014 DA - 2014 DO - 10.4230/OASIcs.SCOR.2014.16 KW - Big data data mining information retrieval Search Engines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing PY - 2014 SN - 21906807 SP - 16-24 ST - Multilingual trend detection in the web T3 - OpenAccess Series in Informatics TI - Multilingual trend detection in the web UR - http://dx.doi.org/10.4230/OASIcs.SCOR.2014.16 VL - 37 ID - 1207 ER - TY - JOUR AB - The idea of ensemble methodology is to combine multiple predictive models in order to achieve a better prediction performance. In this task we analyze the self-adaptive methods for improving the performance of Ant Colony Decision Tree and Forest algorithms. Our goal is to present and compare new meta-ensemble approaches based on Ant Colony Optimization. The proposed meta-classifiers (consisting of homogeneous classifiers) can be characterized by the self-adaptability or the good accommodation with the analyzed data sets and offer appropriate classification accuracy. In this article we provide an overview of ensemble methods in classification tasks and concentrate on the different methodologies, such as Bagging, Boosting and Random Forest. We present all important types of ensemble methods including Boosting and Bagging in context of distributed approach, where agent-ants create better solutions employing adaptive mechanisms. Self adaptive, combining methods and modeling appropriate issues, such as ensembles presented here are discussed in context of the quality of the results. Smaller trees in decision forest without loss of accuracy are achieved during the analysis of different data sets. AU - Kozak, Jan AU - Boryczka, Urszula DA - 2015 DO - 10.1016/j.knosys.2014.11.027 J2 - Knowledge-Based Systems KW - Algorithms Ant colony optimization artificial intelligence Classification (of information) data mining decision trees L1 - internal-pdf://0192433878/Kozak-2015-Multiple boosting in the Ant Colony.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 09507051 SP - 141-151 ST - Multiple boosting in the Ant Colony Decision Forest meta-classifier T2 - Knowledge-Based Systems TI - Multiple boosting in the Ant Colony Decision Forest meta-classifier UR - http://dx.doi.org/10.1016/j.knosys.2014.11.027 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0950705114004274/1-s2.0-S0950705114004274-main.pdf?_tid=5ee8e73a-833f-11e6-a5fc-00000aab0f01&acdnat=1474822068_a2268ff3a5644a02365d03b85f5a0bc0 VL - 75 ID - 1675 ER - TY - CONF AB - Traditional Exemplar-SVMs (ESVM) require millions of negative samples to establish a linear exemplar detector. However, Exemplar Linear Discriminant Analysis (ELDA) can achieve similar performance while avoid negative samples mining. To construct a strong object classifier, Multiple Instance Learning (MIL) is used to combine exemplar detectors and reduce annotation ambiguity. By applying MIL to Exemplar-LDA (ELDA), we simplify the training process and achieve better performance than ESVM on object detection. Moreover, exemplar models can transfer the available meta-data (segmentation, geometric structure, etc.) of training samples directly onto the detected objects, which provide more accurate and richer attributions than the detection results of a bounding box. 2016 IEEE. AU - Chen, Yu AU - Cai, Ling AU - Zhao, Yuming AU - Hu, Fuqiao C3 - 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, March 20, 2016 - March 25, 2016 DA - 2016 DO - 10.1109/ICASSP.2016.7471998 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2016 SN - 15206149 SP - 1856-1860 ST - Multiple instance learning for model ensemble and meta data transfer T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings TI - Multiple instance learning for model ensemble and meta data transfer UR - http://dx.doi.org/10.1109/ICASSP.2016.7471998 VL - 2016-May ID - 1341 ER - TY - CHAP A2 - Masulli, F. A2 - Micheli, A. A2 - Sperduti, A. AB - The ability to sequence DNA has opened up the possibility to investigate if there are specific relationships between genetic information and various diseases. A variation of the individual nucleotides in DNA is called a single nucleotide polymorphism (SNP). These may have no effect or may cause subtle differences in physical or psychological characteristics. Some may actually affect a person's response to drug therapy and even confer a personal susceptibility or resistance to a certain disease. For this reason, analysis of SNPs has become the subject of extensive research. In this chapter we show an example of a multiple-test analysis of SNPs for the assessment of susceptibility to pre-eclampsia. There are many different methods that can be used for such analysis, but we focus on one known as the Transmission Disequilibrium Test (TDT). By analyzing all possible combinations of SNPs in a database related to pre-eclampsia, we identify the combinations of particular interest. This is a useful tool for the preliminary analysis of such data in order to indicate candidate SNPs for further association studies. AU - Fiaschi, Linda AU - Garibaldi, Jonathan M. AU - Krasnogor, Natalio PY - 2009 SN - 978-1-60750-010-0 SP - 141-154 ST - Multiple-Test Analysis of Sequences of SNPs for Determining Susceptibility to Pre-eclampsia T2 - Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita TI - Multiple-Test Analysis of Sequences of SNPs for Determining Susceptibility to Pre-eclampsia VL - 196 ID - 1993 ER - TY - JOUR AB - Song, with its memory enhancement potential and ability to engage, has been employed as a learning tool in some academic settings. Of the countless learning environments, health science may seem the most atypical setting for the musical mnemonic, and yet it may be the most suitable for its application. With medicine's robust history of student-made mnemonics, it only seems natural that learners and instructors alike have begun to experiment with song meant to educate and entertain, primarily imparting them through popular media-sharing sites. This initial assessment of song in health science is meant to highlight notions of efficacy, audience, and use through an informal survey of 10 user-made YouTube musical mnemonics. Two of these mnemonics were co-created by the author, while the remaining eight were identified via select search terms and significant viewer numbers. Resulting YouTube data infers that instructors play a major role in the use of musical mnemonics in health science education. User comments indicate that some students have found value in mnemonic songs, helping them recall information during assessments. More robust research methods, like AU - Cirigliano, Matthew M. DA - 2013 DO - 10.3109/0142159X.2012.733042 IS - 3 J2 - Med Teach KW - *Mental Recall *Music *Teaching Humans Learning Students, Health Occupations/*psychology United States LA - eng PY - 2013 SN - 1466-187X 0142-159X SP - e1020-1026 ST - Musical mnemonics in health science: a first look T2 - Medical teacher TI - Musical mnemonics in health science: a first look VL - 35 ID - 252 ER - TY - JOUR AB - BACKGROUND: Mycobacterium tuberculosis (Mtb) has evolved multiple strategies to counter host immunity. Proteins are one important player in the host-pathogen interaction. A comprehensive list of such proteins will benefit our understanding of pathogenesis of Mtb. METHODS: A genome-scale dataset was created from different sources of published data: global gene expression studies in disease models; genome-wide insertional mutagenesis defining gene essentiality under different conditions; genes lost in clinical isolates; subcellular localization analysis and non-homology analysis. Using data mining and meta-analysis, expressed proteins critical for intracellular survival of Mtb are first identified, followed by subcellular localization analysis, finally filtering a series of subtractive channel of analysis to find out promising drug target candidates. RESULTS: The analysis found 54 potential candidates essential for the intracellular survival of the pathogen and non-homologous to host or gut flora, and might be promising drug targets. CONCLUSION: Based on our meta-analysis and bioinformatics analysis, 54 hits were found from Mtb around 4000 open reading frames. These hits can be good candidates for further experimental investigation. AU - Li, Wu AU - Fan, Xiangyu AU - Long, Quanxin AU - Xie, Longxiang AU - Xie, Jianping DA - 2015/06//undefined DO - 10.1016/j.meegid.2015.02.014 J2 - Infect Genet Evol KW - Bacterial Proteins/genetics/physiology Computational Biology Effector Gene Expression/physiology Genes, Bacterial/genetics/physiology Genome, Bacterial/genetics/physiology Host-pathogen interaction Host-Pathogen Interactions/genetics/*physiology Humans Mycobacterium tuberculosis Mycobacterium tuberculosis/genetics/pathogenicity/*physiology Prediction Tuberculosis, Pulmonary/microbiology L1 - internal-pdf://2122466788/Li-2015-Mycobacterium tuberculosis effectors i.pdf LA - eng PY - 2015 SN - 1567-7257 1567-1348 SP - 1-11 ST - Mycobacterium tuberculosis effectors involved in host-pathogen interaction revealed by a multiple scales integrative pipeline T2 - Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases TI - Mycobacterium tuberculosis effectors involved in host-pathogen interaction revealed by a multiple scales integrative pipeline UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S156713481500057X/1-s2.0-S156713481500057X-main.pdf?_tid=71866104-8341-11e6-932f-00000aacb362&acdnat=1474822958_cb5e2ca494090d10235e694dee27f7a4 VL - 32 ID - 133 ER - TY - CONF AB - The rate of data production in the Life Sciences has now reached such proportions that to consider it irresponsible to fund data generation without proper concomitant funding and infrastructure for storing, analyzing and exchanging the information and knowledge contained in, and extracted from, those data, is not an exaggerated position any longer. The chasm between data production and data handling has become so wide, that many data go unnoticed or at least run the risk of relative obscurity, fail to reveal the information contained in the data set or remains inaccessible due to ambiguity, or financial or legal toll-barriers. As a result, inconsistency, ambiguity and redundancy of data and information on the Web are becoming impediments to the performance of comprehensive information extraction and analysis. This paper attempts a stepwise explanation of the use of richly annotated RDF-statements as carriers of unambiguous, meta-analyzed information in the form of traceable nano-publications. AU - Mons, Barend AU - Velterop, Jan C3 - Workshop on Semantic Web Applications in Scientific Discourse 2009, SWASD 2009 - Collocated with the 8th International Semantic Web Conference, ISWC 2009, October 26, 2009 - October 26, 2009 DA - 2009 KW - applications Semantic Web World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Sun SITE Central Europe CEUR-WS PY - 2009 SN - 16130073 ST - Nano-publication in the e-science era T3 - CEUR Workshop Proceedings TI - Nano-publication in the e-science era VL - 523 ID - 603 ER - TY - JOUR AB - NaCTeM is a collaboration between the Universities of Manchester and Liverpool AU - Heatley, Louise M. LA - English M3 - XHTML ST - National Centre for Text Mining — NaCTEM TI - National Centre for Text Mining — NaCTEM UR - http://www.nactem.ac.uk/ Y2 - 2016/09/24/20:45:39 ID - 2490 ER - TY - RPRT AB - The Spokane Quadrangle has been evaluated to delineate areas and determine geologic environments that could contain uranium deposits of at least 100 tons U sub 3 O sub 8 in rocks at an average grade of not less than 100 ppM. Three environments meet these requirements and are classified as favorable in terms of the National Uranium Resource Evaluation. The delineation of the favorable areas is based, in part, on evaluation of reported uranium occurrences, geochemical sampling, radiometric information obtained from ground traverses, and reconnaissance aerial radiometric data. An environment favorable for authigenic uranium deposits is in the Mt. Spokane area, a past producing uranium area where meta-autunite is found in fractures and shears. In the northwestern corner of the quadrangle, Cretaceous plutonic rocks are favorable for magmatic-hydrothermal uranium deposits because of the high background uranium content, alteration attributed to hydrothermal processes, and a uranium occurrence in the same rocks a few kilometers north. An environment favorable for polymetallic vein-type deposits is in the eastern part of the quadrangle in a broad zone of west-northwest-trending faults in metasedimentary rocks of the Precambrian Belt Supergroup. Structurally controlled uraninite occurrences, previously dated as late Precambrian, are reported in five mines in the Coeur d'Alene district, along the east-central margin of the quadrangle. (ERA citation 07:045833) AU - Fleshman, B. R. CY - United States DA - 1982/04// KW - Aerial surveying data analysis evaluation Geochemical surveys Idaho Radiometric surveys Uraninites Uranium deposits Washington N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 1982 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 102p ST - National Uranium Resource Evaluation, Spokane Quadrangle, Washington and Idaho TI - National Uranium Resource Evaluation, Spokane Quadrangle, Washington and Idaho ID - 593 ER - TY - CONF AB - Extracting relevant information in multilingual context from massive amounts of unstructured, structured and semi-structured data is a challenging task. Various theories have been developed and applied to ease the access to multicultural and multilingual resources. This papers describes a methodology for the development of an ontology-based Cross-Language Information Retrieval (CLIR) application and shows how it is possible to achieve the translation of Natural Language (NL) queries in any language by means of a knowledge-driven approach which allows to semi-automatically map natural language to formal language, simplifying and improving in this way the human-computer interaction and communication. The outlined research activities are based on Lexicon-Grammar (LG), a method devised for natural language formalization, automatic textual analysis and parsing. Thanks to its main characteristics, LG is independent from factors which are critical for other approaches, i.e. interaction type (voice or keyboard-based), length of sentences and propositions, type of vocabulary used and restrictions due to users' idiolects. The feasibility of our knowledge-based methodological framework, which allows mapping both data and metadata, will be tested for CLIR by implementing a domain-specific early prototype system. AU - Monti, J. AU - Monteleone, M. AU - Di Buono, M. P. AU - Marano, F. C3 - 2013 International Conference on Social Computing (SocialCom), 8-14 Sept. 2013 DA - 2013 DO - 10.1109/SocialCom.2013.108 KW - Big data formal languages grammars Human computer interaction meta data natural language processing ontologies (artificial intelligence) query formulation vocabulary PB - IEEE Computer Society PY - 2013 SP - 725-31 ST - Natural Language Processing and Big Data - An Ontology-Based Approach for Cross-Lingual Information Retrieval T3 - 2013 International Conference on Social Computing (SocialCom) TI - Natural Language Processing and Big Data - An Ontology-Based Approach for Cross-Lingual Information Retrieval UR - http://dx.doi.org/10.1109/SocialCom.2013.108 ID - 719 ER - TY - JOUR AB - Radiological reporting has generated large quantities of digital content within the electronic health record, which is potentially a valuable source of information for improving clinical care and supporting research. Although radiology reports are stored for communication and documentation of diagnostic imaging, harnessing their potential requires efficient and automated information extraction: they exist mainly as free-text clinical narrative, from which it is a major challenge to obtain structured data. Natural language processing (NLP) provides techniques that aid the conversion of text into a structured representation, and thus enables computers to derive meaning from human (ie, natural language) input. Used on radiology reports, NLP techniques enable automatic identification and extraction of information. By exploring the various purposes for their use, this review examines how radiology benefits from NLP. A systematic literature search identified 67 relevant publications describing NLP methods that support practical applications in radiology. This review takes a close look at the individual studies in terms of tasks (ie, the extracted information), the NLP methodology and tools used, and their application purpose and performance results. Additionally, limitations, future challenges, and requirements for advancing NLP in radiology will be discussed. AU - Pons, Ewoud AU - Braun, Loes M. M. AU - Hunink, M. G. Myriam AU - Kors, Jan A. DA - 2016/05//undefined DO - 10.1148/radiol.16142770 IS - 2 J2 - Radiology KW - *Natural Language Processing *Radiology *Radiology Information Systems electronic health records Humans Information storage and retrieval LA - eng PY - 2016 SN - 1527-1315 0033-8419 SP - 329-343 ST - Natural Language Processing in Radiology: A Systematic Review T2 - Radiology TI - Natural Language Processing in Radiology: A Systematic Review VL - 279 ID - 99 ER - TY - JOUR AB - Objective Prostate cancer continues to be the most commonly diagnosed cancer in men, and there is limited knowledge on its preventable risk factors. A number of occupational exposures in natural resource-based industries are suspected to be related to prostate cancer risk. This study investigates associations between employment in these industries and prostate cancer. Methods Data were from a population-based, case-control study previously conducted in Northeastern Ontario. Incident cases (N=760) aged 45-85 years and diagnosed with prostate cancer between 1995 and 1998 were identified from the Ontario Cancer Registry. Controls (N=1632) were recruited using telephone listings, and were frequency matched to cases by age. Lifetime occupational history was collected for all participants. Logistic regression was used to estimate ORs and their associated 95% CIs. Results Elevated risks were observed for employment in forestry and logging industries (OR=1.87, 95% CI 1.32 to 2.73) and occupations (OR=1.71, 95% CI 1.24 to 2.35), and these risks increased with duration of employment for >= 10 years. Elevated risks were also found for employment in wood products industries (OR=1.45, 95% CI 1.07 to 1.97), and paper and allied products industries (OR=1.43, 95% CI 1.03 to 2.00), and when duration of employment was >= 10 years. There were also elevated risks in agriculture and mining-related work; however, these findings were not consistent across industry and occupation categories. Conclusions Prostate cancer risk may be associated with work in several natural resource industries, primarily in the forest industries. To further evaluate observed associations, studies should focus on natural resource-based exposures in larger populations with improved exposure assessment. AU - Sritharan, Jeavana AU - Demers, Paul A. AU - Harris, Shelley A. AU - Cole, Donald C. AU - Kreiger, Nancy AU - Sass-Kortsak, Andrea AU - Lightfoot, Nancy DA - 2016/08// DO - 10.1136/oemed-2016-103573 IS - 8 PY - 2016 SN - 1351-0711 SP - 506-511 ST - Natural resource-based industries and prostate cancer risk in Northeastern Ontario: a case-control study T2 - Occupational and Environmental Medicine TI - Natural resource-based industries and prostate cancer risk in Northeastern Ontario: a case-control study VL - 73 ID - 2294 ER - TY - CONF AB - As the design of mechatronic systems relies on different technical and scientific disciplines, it is often difficult to anticipate, at the earliest, the consequences of design choices on the final product. The role of the evaluation process is to support designers each time engineering choices must be made or justified. Being able to estimate the impact of design decisions on key technical performance indicators is one objective of our research. After having presented the activities of the evaluation process, we propose a meta-model of the data required by evaluation in the context of the Systems Engineering framework. Then we investigate how the top down and bottom up tracing of technical requirements through Block Systems and between systems engineering layers of the 'onion model' may help designers analyze the consequences of design decisions on the final product. The research is illustrated through the development of a wheelchair with electrical assistance so as to allow reduced mobility people to move and work outside with less tiredness. Copyright 2012 by ASME. AU - Lo, Mambaye AU - Couturier, Pierre C3 - ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2012, July 2, 2012 - July 4, 2012 DA - 2012 DO - 10.1115/ESDA2012-82230 KW - Design Engineering research Fluid mechanics Systems analysis Systems engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Society of Mechanical Engineers PY - 2012 SP - 311-321 ST - Needs for tracing the consequences of decisions in mechatronics design T3 - ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis, ESDA 2012 TI - Needs for tracing the consequences of decisions in mechatronics design UR - http://dx.doi.org/10.1115/ESDA2012-82230 VL - 2 ID - 571 ER - TY - JOUR AB - The current research on information extraction mainly focuses on affirmative information. However there are more negation and uncertainty information in natural language texts. For purpose of separating them from affirmative information, it is necessary to make an intensive study of negation and uncertainty information extraction. For this task, this study firstly constructs a Chinese corpus including 16 841 sentences. Employing the sequence labeling model and the convolution tree kernel model, it systematically explores the efficiency of various kinds of serialized dependency features and structured parsing features. Finally, it proposes a meta-decision tree model to integrate the above two models. Experimental results show that the performances of the new method on negation and uncertainty information extraction achieve 69.84% and 58.57% of accuracy respectively, providing a solid foundation for related studies in the future. Copyright 2016, Institute of Software, the Chinese Academy of Sciences. All rights reserved. AU - Zou, Bo-Wei AU - Qian, Zhong AU - Chen, Zhan-Cheng AU - Zhu, Qiao-Ming AU - Zhou, Guo-Dong DA - 2016 DO - 10.13328/j.cnki.jos.004860 IS - 2 J2 - Ruan Jian Xue Bao/Journal of Software KW - Computational linguistics data mining decision trees Information analysis information retrieval Natural language processing systems Syntactics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 10009825 SP - 309-328 ST - Negation and uncertainty information extraction oriented to natural language text T2 - Ruan Jian Xue Bao/Journal of Software TI - Negation and uncertainty information extraction oriented to natural language text UR - http://dx.doi.org/10.13328/j.cnki.jos.004860 VL - 27 ID - 1365 ER - TY - JOUR AB - PURPOSE: Epithelial ovarian cancer (EOC) is usually detected at an advanced stage and is frequently lethal. Although many patients respond to initial surgery and standard chemotherapy consisting of a platinum-based agent and a taxane, most experience recurrence and eventually treatment-resistant disease. Although there have been numerous efforts to apply protein-targeted agents in EOC, these studies have so far documented little efficacy. Our goal was to identify broadly susceptible signaling proteins or pathways in EOC. EXPERIMENTAL DESIGN: As a new approach, we conducted data-mining meta-analyses integrating results from multiple siRNA screens to identify gene targets that showed significant inhibition of cell growth. On the basis of this meta-analysis, we established that many genes with such activity were clients of the protein chaperone HSP90. We therefore assessed ganetespib, a clinically promising second-generation small-molecule HSP90 inhibitor, for activity against EOC, both as a single agent and in combination with cytotoxic and targeted therapeutic agents. RESULTS: Ganetespib significantly reduced cell growth, induced cell-cycle arrest and apoptosis in vitro, inhibited growth of orthotopic xenografts and spontaneous ovarian tumors in transgenic mice in vivo, and inhibited expression and activation of numerous proteins linked to EOC progression. Importantly, paclitaxel significantly potentiated ganetespib activity in cultured cells and tumors. Moreover, combined treatment of cells with ganetespib and siRNAs or small molecules inhibiting genes identified in the meta-analysis in several cases resulted in enhanced activity. CONCLUSION: These results strongly support investigation of ganetespib, a single-targeted agent with effects on numerous proteins and pathways, in augmenting standard EOC therapies. AU - Liu, Hanqing AU - Xiao, Fang AU - Serebriiskii, Ilya G. AU - O'Brien, Shane W. AU - Maglaty, Marisa A. AU - Astsaturov, Igor AU - Litwin, Samuel AU - Martin, Lainie P. AU - Proia, David A. AU - Golemis, Erica A. AU - Connolly, Denise C. DA - 2013/09/15/ DO - 10.1158/1078-0432.CCR-13-1115 IS - 18 J2 - Clin Cancer Res KW - Animals Antineoplastic Agents, Phytogenic/pharmacology Apoptosis/*drug effects Blotting, Western Cell Cycle/*drug effects Cell Proliferation/*drug effects Drug Synergism Drug Therapy, Combination Female Flow Cytometry Gene Regulatory Networks/*drug effects HSP90 Heat-Shock Proteins/*antagonists & inhibitors/genetics/metabolism Humans Mice Mice, SCID Mice, Transgenic Ovarian Neoplasms/drug therapy/genetics/*metabolism Paclitaxel/pharmacology Protein Array Analysis RNA, Small Interfering/genetics Triazoles/pharmacology Tumor Cells, Cultured Xenograft Model Antitumor Assays LA - eng PY - 2013 SN - 1078-0432 1078-0432 SP - 5053-5067 ST - Network analysis identifies an HSP90-central hub susceptible in ovarian cancer T2 - Clinical cancer research : an official journal of the American Association for Cancer Research TI - Network analysis identifies an HSP90-central hub susceptible in ovarian cancer VL - 19 ID - 83 ER - TY - JOUR AB - This article describes the analysis, design and implementation of the network information resources management system (NIRMS), which uses distributed modes of content management to collect information resources on the Internet for Chinese patrons. The first two sections describe the architecture and framework of the NIRMS and the network resources management metadata (NRMM) schema. Then the modules for resource inspection and evaluation, knowledge mining and users' information feedback are discussed. AU - Chengyu, Zhang AU - Ping, Wang AU - Yi, Zhao AU - Qiang, Lai AU - Li, Kong DA - 2003 DO - 10.1108/14684520310471743 IS - 2 J2 - Online Information Review KW - Content Management data mining Information Resources Internet meta data software architecture L1 - internal-pdf://2273885595/Chengyu-2003-Network information resources man.pdf PY - 2003 SN - 1468-4527 SP - 129-35 ST - Network information resources management system based on knowledge mining T2 - Online Information Review TI - Network information resources management system based on knowledge mining UR - http://dx.doi.org/10.1108/14684520310471743 VL - 27 ID - 1553 ER - TY - CONF AB - The dynamics of populational metaheuristic algorithms, such as the differential evolution, can be represented by evolving complex networks. The differential evolution is a widely-used real parameter optimization method with excellent results and many real-world applications. The search for hidden relationships, behaviors, and patterns in complex networks representing populational metaheuristics can provide an interesting information about the underlying optimization processes. Various methods for visual network investigation and mining became very popular in the last decade and represent a natural set of tools for such analyses. Here, we introduce a new approach for the visual analysis of such network with a special emphasis on network readability. The proposed method is universal and can be applied to any type of complex network modelling any algorithm applied to any problem. 2015 IEEE. AU - Gajdo, Petr AU - Kromer, Pavel AU - Zelinka, Ivan C3 - IEEE Symposium Series on Computational Intelligence, SSCI 2015, December 8, 2015 - December 10, 2015 DA - 2015 DO - 10.1109/SSCI.2015.215 KW - Algorithms artificial intelligence Complex networks Evolutionary algorithms Optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 1522-1528 ST - Network visualization of population dynamics in the differential evolution T3 - Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015 TI - Network visualization of population dynamics in the differential evolution UR - http://dx.doi.org/10.1109/SSCI.2015.215 ID - 1169 ER - TY - JOUR AB - We present a novel strategy for deriving a classification system of functional neuroimaging paradigms that relies on hierarchical clustering of experiments archived in the BrainMap database. The goal of our proof-of-concept application was to examine the underlying neural architecture of the face perception literature from a meta-analytic perspective, as these studies include a wide range of tasks. Task-based results exhibiting similar activation patterns were grouped as similar, while tasks activating different brain networks were classified as functionally distinct. We identified four sub-classes of face tasks: (1) Visuospatial Attention and Visuomotor Coordination to Faces, (2) Perception and Recognition of Faces, (3) Social Processing and Episodic Recall of Faces, and (4) Face Naming and Lexical Retrieval. Interpretation of these sub-classes supports an extension of a well-known model of face perception to include a core system for visual analysis and extended systems for personal information, emotion, and salience processing. Overall, these results demonstrate that a large-scale data mining approach can inform the evolution of theoretical cognitive models by probing the range of behavioral manipulations across experimental tasks. AU - Laird, Angela R. AU - Riedel, Michael C. AU - Sutherland, Matthew T. AU - Eickhoff, Simon B. AU - Ray, Kimberly L. AU - Uecker, Angela M. AU - Fox, P. Mickle AU - Turner, Jessica A. AU - Fox, Peter T. DA - 2015/10/01/ DO - 10.1016/j.neuroimage.2015.06.044 J2 - Neuroimage KW - Attention/physiology Brain Mapping Brain/*physiology Cluster Analysis Cognitive paradigms data mining Emotions/physiology Face perception Faces Facial Expression Facial Recognition/*physiology Functional Neuroimaging Humans Image Processing, Computer-Assisted/methods Mental Recall/physiology Meta-analysis neuroinformatics Recognition (Psychology)/physiology Research Design L1 - internal-pdf://2444012428/Laird-2015-Neural architecture underlying clas.pdf LA - eng PY - 2015 SN - 1095-9572 1053-8119 SP - 70-80 ST - Neural architecture underlying classification of face perception paradigms T2 - NeuroImage TI - Neural architecture underlying classification of face perception paradigms UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1053811915005480/1-s2.0-S1053811915005480-main.pdf?_tid=d937b660-833f-11e6-91b8-00000aacb360&acdnat=1474822273_892d19b4b637955d93e8f65e9ed1959b VL - 119 ID - 130 ER - TY - CONF AB - Earlier research has investigated the use of data envelopment analysis (DEA) as a tool for providing meaningful benchmarking of software project team performance. This relates the time spent on the different phases of a development project to the complexity of the system as defined by its function point count and its user-base. That research was of direct use when benchmarking the performance of completed projects. This paper describes an extension to this research to facilitate its use as a project estimation tool prior to actual commencement of a software development project. The result of this research is a stand-alone tool that allows project managers to assess their estimates against completed projects. AU - Flitman, A. M. C3 - ANNIE 2000. Smart Engineering Systems Design Conference, 5-8 Nov. 2000 DA - 2000 KW - data envelopment analysis neural nets project management software cost estimation software development management PB - ASME PY - 2000 SP - 941-6 ST - A neural network DEA meta-model to facilitate software development time and cost estimation T3 - Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining, and Complex Systems. Vol.10. Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2000) TI - A neural network DEA meta-model to facilitate software development time and cost estimation ID - 1448 ER - TY - CONF AB - Manufacturing generates a vast amount of data both from operations and simulation. Extracting appropriate information from this data can provide insights to increase a manufacturer's competitive advantage through improved sustainability, productivity, and flexibility of their operations. Manufacturers, as well as other industries, have successfully applied a promising statistical learning technique, called neural networks (NNs), to extract meaningful information from large data sets, so called big data. However, the application of NN to manufacturing problems remains limited because it involves the specialized skills of a data scientist. This paper introduces an approach to automate the application of analytical models to manufacturing problems. We present an NN meta-model (MM), which defines a set of concepts, rules, and constraints to represent NNs. An NN model can be automatically generated and manipulated based on the specifications of the NN MM. In addition, we present an algorithm to generate a predictive model from an NN and available data. The predictive model is represented in either Predictive Model Markup Language (PMML) or Portable Format for Analytics (PFA). Then we illustrate the approach in the context of a specific manufacturing system. Finally, we identify future steps planned towards later implementation of the proposed approach. AU - Lechevalier, D. AU - Hudak, S. AU - Ak, R. AU - Lee, Y. T. AU - Foufou, S. C3 - 2015 IEEE International Conference on Big Data (Big Data), 29 Oct.-1 Nov. 2015 DA - 2015 DO - 10.1109/BigData.2015.7363903 KW - Big data data analysis manufacturing systems neural nets production engineering computing Programming Languages PB - IEEE PY - 2015 SP - 1428-35 ST - A neural network meta-model and its application for manufacturing T3 - 2015 IEEE International Conference on Big Data (Big Data) TI - A neural network meta-model and its application for manufacturing UR - http://dx.doi.org/10.1109/BigData.2015.7363903 ID - 1488 ER - TY - JOUR AB - BACKGROUND: Neurodegenerative diseases (NDs) are characterized by the progressive loss of neurons in the human brain. Although the majority of NDs are sporadic, evidence is accumulating that they have a strong genetic component. Therefore, significant efforts have been made in recent years to not only identify disease-causing genes but also genes that modify the severity of NDs, so-called genetic modifiers. To date there exists no compendium that lists and cross-links genetic modifiers of different NDs. DESCRIPTION: In order to address this need, we present NeuroGeM, the first comprehensive knowledgebase providing integrated information on genetic modifiers of nine different NDs in the model organisms D. melanogaster, C. elegans, and S. cerevisiae. NeuroGeM cross-links curated genetic modifier information from the different NDs and provides details on experimental conditions used for modifier identification, functional annotations, links to homologous proteins and color-coded protein-protein interaction networks to visualize modifier interactions. We demonstrate how this database can be used to generate new understanding through meta-analysis. For instance, we reveal that the Drosophila genes DnaJ-1, thread, Atx2, and mub are generic modifiers that affect multiple if not all NDs. CONCLUSION: As the first compendium of genetic modifiers, NeuroGeM will assist experimental and computational scientists in their search for the pathophysiological mechanisms underlying NDs. http://chibi.ubc.ca/neurogem. AU - Na, Dokyun AU - Rouf, Mushfiqur AU - O'Kane, Cahir J. AU - Rubinsztein, David C. AU - Gsponer, Jorg DA - 2013 DO - 10.1186/1755-8794-6-52 J2 - BMC Med Genomics KW - *Databases, Genetic Animals Computational Biology/*methods data mining Gene Ontology Humans Neurodegenerative Diseases/*genetics LA - eng PY - 2013 SN - 1755-8794 1755-8794 SP - 52 ST - NeuroGeM, a knowledgebase of genetic modifiers in neurodegenerative diseases T2 - BMC medical genomics TI - NeuroGeM, a knowledgebase of genetic modifiers in neurodegenerative diseases VL - 6 ID - 113 ER - TY - JOUR AB - Psychopathology is worthy of consideration to inform the application of functional neuroimaging to the study of mental disorders. By promoting an approach based on mental processes underlying disorders rather than an approached based on diagnostic categories, it offers the opportunity to identify biomarkers that could be used as nosological tools. Such biomarkers may eventually inform treatment strategies. However, the question of whether functional brain imaging can be used to learn something about psychopathology, that is understanding the nature and the relationships of mental processes that underlie psychiatric disorders, remains controversial. A potential advantage of functional brain imaging could be the examination of non-conscious mental processes that could be both non reportable by the subject and difficult to capture with behavioral measures. As an example, several studies found depression and anxiety to be associated with amygdala aberrant reactivity to masked emotional stimuliThis might be interpreted as signaling automatic cognitive biases such as those proposed by cognitive theory. But when trying to deduce the presence of a mental process M from a specific pattern of brain activity A, frequently referred to as reverse inference, one has to consider several issues, regardless of the nature of the mental process. These issues can be best formalized with a Bayesian approach where the probability of the presence of M according to A, P(M/A) depends on the a priori probability of M to be present, P(M), as well as on conditional probabilities P(RIM) and P(P(R/(M) over bar). Obviously, P(M) depends on the specificity of the experimental paradigm used. However, reverse inference usually takes place when A was unexpected (i.e. not supposed to be engaged by the experimental task). Conditional probabilities regarding the probability of A according to the presence or the absence of M, P(AIM) and p(A/(M) over bar) can be estimated using methods of data mining based on growing databases. The less A is specific to M, that is to say the higher p(A/(M) over bar) is, the less valid the reverse inference will be. This is even worse when the definition of R is loose. Despite these limitations, reverse inference is nevertheless a powerful heuristic tool when it comes to generate testable hypotheses about the nature of mental processes and their relationships. Combined with carefully designed experimental paradigms, functional brain imaging is thus likely to bring new knowledge to psychopathology. (C) 2015 Elsevier Masson SAS. All rights reserved. AU - Lemogne, Cedric DA - 2015/03// DO - 10.1016/j.amp.2015.01.004 IS - 3 PY - 2015 SN - 0003-4487 SP - 275-278 ST - Neuroimaging: A tool for psychopathology? T2 - Annales Medico-Psychologiques TI - Neuroimaging: A tool for psychopathology? VL - 173 ID - 2200 ER - TY - JOUR AB - Neuronal morphology affects network connectivity, plasticity, and information processing. Uncovering the design principles and functional consequences of dendritic and axonal shape necessitates quantitative analysis and computational modeling of detailed experimental data. Digital reconstructions provide the required neuromorphological descriptions in a parsimonious, comprehensive, and reliable numerical format. NeuroMorpho.Org is the largest web-accessible repository service for digitally reconstructed neurons and one of the integrated resources in the Neuroscience Information Framework (NIF). Here we describe the NeuroMorpho.Org approach as an exemplary experience in designing, creating, populating, and curating a neuroscience digital resource. The simple three-tier architecture of NeuroMorpho.Org (web client, web server, and relational database) encompasses all necessary elements to support a large-scale, integrate-able repository. The data content, while heterogeneous in scientific scope and experimental origin, is unified in format and presentation by an in house standardization protocol. The server application (MRALD) is secure, customizable, and developer-friendly. Centralized processing and expert annotation yields a comprehensive set of metadata that enriches and complements the raw data. The thoroughly tested interface design allows for optimal and effective data search and retrieval. Availability of data in both original and standardized formats ensures compatibility with existing resources and fosters further tool development. Other key functions enable extensive exploration and discovery, including 3D and interactive visualization of branching, frequently measured morphometrics, and reciprocal links to the original PubMed publications. The integration of NeuroMorpho.Org with version-1 of the NIF (NIFv1) provides the opportunity to access morphological data in the context of other relevant resources and diverse subdomains of neuroscience, opening exciting new possibilities in data mining and knowledge discovery. The outcome of such coordination is the rapid and powerful advancement of neuroscience research at both the conceptual and technological level. AU - Halavi, Maryam AU - Polavaram, Sridevi AU - Donohue, Duncan E. AU - Hamilton, Gail AU - Hoyt, Jeffrey AU - Smith, Kenneth P. AU - Ascoli, Giorgio A. DA - 2008/09//undefined DO - 10.1007/s12021-008-9030-1 IS - 3 J2 - Neuroinformatics KW - Animals Computational Biology/*methods/trends Databases as Topic/*organization & administration/trends Humans Information Storage and Retrieval/methods/standards/trends Internet/organization & administration/trends Meta-Analysis as Topic Neuroanatomy/methods/trends Neurons/cytology Neurosciences/*methods/trends Software/standards/trends L1 - internal-pdf://2840465360/Halavi-2008-NeuroMorpho.Org implementation of.pdf LA - eng PY - 2008 SN - 1559-0089 1539-2791 SP - 241-252 ST - NeuroMorpho.Org implementation of digital neuroscience: dense coverage and integration with the NIF T2 - Neuroinformatics TI - NeuroMorpho.Org implementation of digital neuroscience: dense coverage and integration with the NIF UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2655120/pdf/nihms96081.pdf VL - 6 ID - 151 ER - TY - JOUR AB - Aiming at the difficult problem of key techniques for large-scale location prediction about deep concealed ore bodies of mine, the quantitative methods for determination the effective level of different techniques and methods and the three-dimensional location quantitative prediction technique of deep concealed ore bodies were studied. A series of new technique fruits were introduced, including "Meta-analysis comparison method", "Effectivity evaluation method", "Three-dimensional morphological analysis of geological body", "Simulation of ore-controlling geological factors", "Three-dimensional quantitative analysis and extraction of ore-forming information" and "Geological three-dimensional visual modeling". Meanwhile, the application examples of "effectiveness quantitative comparison of the several geophysical methods" in Tongshan Mine and "three-dimensional visual quantitative location prediction of deep concealed ore bodies" in Fenghuangshan Mine were also introduced. AU - Peng, Sheng-Lin AU - Fan, Jun-Chang AU - Shao, Yong-Jun AU - Mao, Xian-Cheng AU - Lai, Jian-Qing AU - Chen, Jin AU - Wang, Ying AU - Wang, Xiong-Jun AU - Zhang, Jian-Dong DA - 2012 IS - 3 J2 - Zhongguo Youse Jinshu Xuebao/Chinese Journal of Nonferrous Metals KW - Factor analysis Forecasting Ore analysis Ore deposits Ore treatment Three dimensional Three dimensional computer graphics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 10040609 SP - 844-853 ST - New breakthrough in key technologies of location prediction about deep concealed ore bodies of mine T2 - Zhongguo Youse Jinshu Xuebao/Chinese Journal of Nonferrous Metals TI - New breakthrough in key technologies of location prediction about deep concealed ore bodies of mine VL - 22 ID - 1600 ER - TY - CONF AB - Recently, the Software-as-a-Service (SaaS) model has been gaining more and more attention. In SaaS model, both applications and databases will be deployed in servers managed by untrustworthy service providers. Thus, the service providers might maliciously delete, modify or falsify tenants' data due to some reasons, which brings great challenge to adoption of SaaS model. So this paper defines data integrity concept for SaaS data storage security, which could be measured in terms of durable integrity, correct integrity and provenance integrity. Basing on the meta-data driven data storage model and data chunking technology, SaaS data integrity issues will be mapped as a series of integrity issues of data chunks. Via cyclic group, data chunks traversal approach for verification is presented, and then SaaS data integrity verification can be realized based on the integrity verification of data chunks. Also, we demonstrate the correctness of the mechanism through analysis in this paper. AU - Yuliang, Shi AU - Kun, Zhang AU - Qingzhong, Li C3 - Web Information Systems and Mining. International Conference, WISM 2010, 23-24 Oct. 2010 DA - 2010 DO - 10.1007/978-3-642-16515-3_30 KW - business data processing Database management systems Data Integrity security of data software architecture PB - Springer PY - 2010 SP - 236-43 ST - A new data integrity verification mechanism for SaaS T3 - Web Information Systems and Mining. Proceedings International Conference, WISM 2010 TI - A new data integrity verification mechanism for SaaS UR - http://dx.doi.org/10.1007/978-3-642-16515-3_30 ID - 686 ER - TY - JOUR AB - Spatial-OLAP (SOLAP) technologies are dedicated to multidimensional analysis of large volumes of (spatial) data. Spatial data are subject to different types of uncertainty, in particular spatial vagueness. Although several researches propose new models to cope with spatial vagueness, their integration in SOLAP systems is still in an embryonic state. Also, analyzing multidimensional data with metadata brought by the exploitation of the new models can be too complex and demanding for decision-makers. To help reduce spatial vagueness consequences on the exactness of SOLAP analysis queries, the authors present a new approach for designing SOLAP datacubes based on end-users'tolerance to the risks of misinterpretation of fact data. An experimentation of the new approach on agri-environmental data is also proposed. AU - Edoh-Alove, E. AU - Bimonte, S. AU - Pinet, F. AU - Bedard, Y. DA - 2015/07// DO - 10.4018/ijaeis.2015070103 IS - 3 J2 - International Journal of Agricultural and Environmental Information Systems KW - data mining meta data query processing visual databases PY - 2015 SN - 1947-3192 SP - 29-49 ST - New Design Approach to Handle Spatial Vagueness in Spatial OLAP Datacubes: Application to Agri-environmental Data T2 - International Journal of Agricultural and Environmental Information Systems TI - New Design Approach to Handle Spatial Vagueness in Spatial OLAP Datacubes: Application to Agri-environmental Data UR - http://dx.doi.org/10.4018/ijaeis.2015070103 http://www.igi-global.com/article/new-design-approach-to-handle-spatial-vagueness-in-spatial-olap-datacubes/128849 VL - 6 ID - 1123 ER - TY - CONF AB - Hyperspectral imaging is a new technique in remote sensing in which an imaging spectrometer collects hundred of images (at different wavelength channels) for the same area on the surface of Earth. Over the last years, hyperspectral image data sets have been collected from a great amount of locations over the world using a variety of instruments for Earth observation. Only a small amount of them are available for public use and they are spread among different storage locations and exhibit significant heterogeneity regarding the storage format. Therefore, the development of a standardized hyperspectral data repository is a highly desired goal in the remote sensing community. In this paper, we describe the development of a shared digital repository for remotely sensed hyperspectral data, which allows uploading new hyperspectral data sets along with meta-data, ground-truth and analysis results (spectral information). Such repository is presented as a web service for providing the management of images through a web interface, and it is available online from http://www.hypercomp.es/repository. Most importantly, the developed system includes a spectral unmixing-based content based image retrieval (CBIR) functionality which allows searching for images from the database using spectrally pure components or endmembers in the scene. A full spectral unmixing chain is implemented for spectral information extraction, which allows filtering images using the similarity of the spectral signature and abundance of a given ground-truth. In order to accelerate the process of obtaining the spectral information for new entries in the system, we resort to an efficient implementations of spectral unmixing algorithms of graphics processing units (GPUs). AU - Sevilla Cedillo, J. AU - Plaza Miguel, A. C3 - 2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 23-26 Sept. 2013 DA - 2014 DO - 10.1109/SYNASC.2013.68 KW - content-based retrieval filtering theory geophysical image processing graphics processing units hyperspectral imaging image retrieval REMOTE SENSING Web services PB - IEEE PY - 2014 SP - 473-80 ST - A New Digital Repository for Remotely Sensed Hyperspectral Imagery on GPUs T3 - 2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) TI - A New Digital Repository for Remotely Sensed Hyperspectral Imagery on GPUs UR - http://dx.doi.org/10.1109/SYNASC.2013.68 ID - 684 ER - TY - JOUR AU - Moorhead, S. Anne AU - Hazlett, Diane E. AU - Harrison, Laura AU - Carroll, Jennifer K. AU - Irwin, Anthea AU - Hoving, Ciska DA - 2013 DP - Google Scholar IS - 4 PY - 2013 SP - e85 ST - A new dimension of health care T2 - Journal of medical Internet research TI - A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication UR - http://www.jmir.org/2013/4/e85/?trendmd-shared=1 https://www.jmir.org/2013/4/e85/?trendmd-shared=1 VL - 15 Y2 - 2016/09/24/16:03:41 ID - 2410 ER - TY - JOUR AU - Collins, Francis S. AU - Varmus, Harold DA - 2015 DP - Google Scholar IS - 9 L1 - internal-pdf://0937558955/Collins-2015-A new initiative on precision med.pdf PY - 2015 SP - 793-795 ST - A new initiative on precision medicine T2 - New England Journal of Medicine TI - A new initiative on precision medicine UR - http://www.nejm.org/doi/full/10.1056/nejmp1500523 http://www.nejm.org/doi/pdf/10.1056/NEJMp1500523 VL - 372 Y2 - 2016/09/24/15:37:02 ID - 2350 ER - TY - JOUR AB - Neuroblastoma is one of the most aggressive solid tumors in the childhood. Therapy resistance to anticancer drugs represents the major limitation to the effectiveness of clinical treatment. To better understand the mechanisms underlying cisplatin resistance, we performed a comparative proteomic study of the human neuroblastoma cell line SH-SY5Y and its cisplatin resistant counterpart by both the classical 2-DE electrophoresis coupled to mass spectrometry and the more innovative label-free nLC-MS(E). The differentially expressed proteins were classified by bioinformatic tools according to their biological functions and their involvement in several cellular processes. Moreover, a meta-mining investigation of protein ontologies was also performed on available data from previously published proteomics studies to highlight the modulation of significant cellular pathways, which may regulate the sensitivity of neuroblastoma to cisplatin. In particular, we hypothesized a major role of the transcription factor nuclear factor-erythroid 2-related factor 2 (Nrf2) pathway. Confocal microscopy experiments, enzyme assay, and Western blotting of proteins regulated by Nrf2 provided evidences that this pathway, playing a protective role in normal cells, may represent a potential novel target to control cisplatin resistance in neuroblastoma. AU - D'Aguanno, Simona AU - D'Alessandro, Annamaria AU - Pieroni, Luisa AU - Roveri, Antonella AU - Zaccarin, Mattia AU - Marzano, Valeria AU - De Canio, Michele AU - Bernardini, Sergio AU - Federici, Giorgio AU - Urbani, Andrea DA - 2011/02/04/ DO - 10.1021/pr100457n IS - 2 J2 - J Proteome Res KW - *Proteomics Antineoplastic Agents/pharmacology Cell Line, Tumor Cell Survival/drug effects Chromatography, Liquid Cisplatin/*pharmacology Computer Simulation Databases, Protein data mining Drug Resistance, Neoplasm/drug effects Electrophoresis, Gel, Two-Dimensional Humans Mass Spectrometry Neoplasm Proteins/metabolism Neuroblastoma/*drug therapy/*metabolism NF-E2-Related Factor 2/metabolism Proteome/analysis/*metabolism Signal Transduction/drug effects L1 - internal-pdf://2059344234/D'Aguanno-2011-New insights into neuroblastoma.pdf LA - eng PY - 2011 SN - 1535-3907 1535-3893 SP - 416-428 ST - New insights into neuroblastoma cisplatin resistance: a comparative proteomic and meta-mining investigation T2 - Journal of proteome research TI - New insights into neuroblastoma cisplatin resistance: a comparative proteomic and meta-mining investigation UR - http://pubs.acs.org.ezproxy.lib.vt.edu/doi/pdfplus/10.1021/pr100457n VL - 10 ID - 369 ER - TY - CONF AB - Associating meaningful keyphrases to text documents and Web pages is an activity that can significantly increase the accuracy of Information Retrieval, Personalization and Recommender systems, but the growing amount of text data available is too large for an extensive manual annotation. On the other hand, automatic keyphrase generation can significantly support this activity. This task is already performed with satisfactory results by several systems proposed in the literature, however, most of them focuses solely on the English language which represents approximately more than 50% of Web contents. Only few other languages have been investigated and Italian, despite being the ninth most used language on the Web, is not among them. In order to overcome this shortage, we propose a novel multi-language, unsupervised, knowledge-based approach towards keyphrase generation. To support our claims, we developed DIKpE-G, a prototype system which integrates several kinds of knowledge for selecting and evaluating meaningful keyphrases, ranging from linguistic to statistical, meta/structural, social, and ontological knowledge. DIKpE-G performs well over English and Italian texts. Copyright 2014 SCITEPRESS - Science and Technology Publications All rights reserved. AU - Degl'Innocenti, Dante AU - De Nart, Dario AU - Tasso, Carlo C3 - 6th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2014, October 21, 2014 - October 24, 2014 DA - 2014 KW - Classification (of information) data mining information retrieval Knowledge based systems Linguistics Natural language processing systems Search Engines Social networking (online) Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - INSTICC Press PY - 2014 SP - 78-85 ST - A new multi-lingual knowledge-base approach to keyphrase extraction for the Italian language T3 - KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval TI - A new multi-lingual knowledge-base approach to keyphrase extraction for the Italian language ID - 931 ER - TY - JOUR AB - The purpose of this paper is to develop automated methods for creating metadata for documents in an institutional repository. Two methods are examined for automatically building metadata in an institutional repository context. Text mining techniques are employed to discover relationships among documents with similar content, from which are inferred possible values for missing or incomplete metadata elements. Machine learning techniques are used to identify and extract specific metadata element values from document content. Text mining techniques can be used to cluster documents with similar content. This allows values for metadata elements, like keyword, to be projected from documents with established metadata to related documents. Machine learning techniques are found to be reasonably accurate for extracting from documents values for metadata elements, such as, title, author, and abstract. Results show sufficient promise to support the next phase of the project: the development of assistive tools for use by metadata specialists to create or edit document metadata. This paper focuses on the use of automated metadata extraction techniques to assist metadata creation, lessening the time and effort required to add documents to institutional repositories. AU - Al-Digeil, M. AU - Burk, A. AU - Forest, D. AU - Whitney, J. DA - 2007 DO - 10.1108/10650750710831547 IS - 4 J2 - OCLC Systems & Services KW - data mining Digital Libraries information retrieval learning (artificial intelligence) library automation meta data text analysis L1 - internal-pdf://4084960732/Al-Digeil-2007-New possibilities for metadata.pdf PY - 2007 SN - 1065-075X SP - 403-10 ST - New possibilities for metadata creation in an institutional repository context T2 - OCLC Systems & Services TI - New possibilities for metadata creation in an institutional repository context UR - http://dx.doi.org/10.1108/10650750710831547 http://www.emeraldinsight.com.ezproxy.lib.vt.edu/doi/pdfplus/10.1108/10650750710831547 VL - 23 ID - 1150 ER - TY - JOUR AB - Factors that affect the safety of coal mine roof is a multi-faceted, information fusion technology can take full advantage of multi-source information complementary and comprehensive, and improving information quality and credibility of coal mine roof safety. In analyzing the current monitoring means, a coal mine roof safety evaluation model is presented based on Dempster-Shafer evidence fusion theory , After normalizing the various sensor data, the model can acquire the basic probability assignment of the system judging the security situation of the roof, and then using the Dempster-Shafe synthesis rule to synthesize the multi-evidence, and acquiring the whole judgment of the security situation of the roof; as to the problem of the failure of Dempster evidence synthesis rule under the high conflict, establish similarity matrix through the evidence distance, determine the weight coefficient of the evidence, and use the Dempster rule to combine after the pretreatment of the evidence. Through the simulation and compared with other improved methods, the model is proved to decrease the influences that the conflict makes to the combination result, and at the same time improve the convergence rate of evidence combination and reduce the risk of decision-making under the high conflict evidence. AU - Rui-sheng, Jia AU - Hong-mei, Sun AU - Chong-qing, Zhang AU - Xue-ting, Lv DA - 2012/02// DO - 10.4304/jcp.7.2.499-506 IS - 2 J2 - Journal of Computers KW - accidents Coal inference mechanisms Knowledge based systems Matrix algebra mechanical engineering computing mining industry Probability Roofs safety sensor fusion PY - 2012 SN - 1796-203X SP - 499-506 ST - A New Safety Evaluation Model of Coal Mine Roof based on Multi-sensor Fusion in case of Information Confliction T2 - Journal of Computers TI - A New Safety Evaluation Model of Coal Mine Roof based on Multi-sensor Fusion in case of Information Confliction UR - http://dx.doi.org/10.4304/jcp.7.2.499-506 VL - 7 ID - 724 ER - TY - JOUR AU - Platt, Richard AU - Wilson, Marcus AU - Chan, K. Arnold AU - Benner, Joshua S. AU - Marchibroda, Janet AU - McClellan, Mark DA - 2009 DP - Google Scholar IS - 7 PY - 2009 SP - 645-647 ST - The new Sentinel Network—improving the evidence of medical-product safety T2 - New England Journal of Medicine TI - The new Sentinel Network—improving the evidence of medical-product safety UR - http://www.nejm.org/doi/full/10.1056/NEJMp0905338 VL - 361 Y2 - 2016/09/24/15:39:07 ID - 2371 ER - TY - CONF AB - Cardinality constraints as well as key constraints and functional Many CASE (Computer-Aided Software Engineering) tools are based on ER-model. They are used interactively by database designers to create an ER-schema for their database applications. dependencies are among the most popular classes of constraints in database models. While each constraint class is now well understood, little is done about their interaction. Today cardinality constraints and key constraints are embedded in most CASE tools, which are usually based on the Entity-Relationship model. However, these tools do not offer intelligent consistency checking routines for cardinality constraints. They do not consider the global coherence of them. Conflicts among the constraints are not detected. Our aim is then, to propose a tool for reasoning about a set of cardinality constraints, key and certain functional dependencies in order to help in database design. We will treat the global coherence of cardinality constraints. We propose two steps: a syntactical analysis according to our ER Meta-schema and a semantic analysis in order to verify the cardinality constraints and their interactions. 2001 IEEE. AU - Boufares, Faouzi AU - Kraiem, Naoufel C3 - 2nd Asia-Pacific Conference on Quality Software, APAQS 2001, December 10, 2001 - December 11, 2001 DA - 2001 DO - 10.1109/APAQS.2001.990035 KW - Computer aided software engineering Database systems data mining Information systems Semantics software engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2001 SP - 302-307 ST - A new tool to analyze ER-schemas T3 - Proceedings - 2nd Asia-Pacific Conference on Quality Software, APAQS 2001 TI - A new tool to analyze ER-schemas UR - http://dx.doi.org/10.1109/APAQS.2001.990035 ID - 1069 ER - TY - JOUR AB - This paper aims to give a general review of existing literature on adaptive educational hypermedia systems and to reveal technological trends and approaches within these studies. Fifty-six studies conducted between 2002 and 2012 were examined, to identify prominent themes and approaches. According to the content analysis, the new technological trends and approaches were grouped into seven categories: standardization, semantic web, modular frameworks, data mining, machine learning techniques, social web, and device adaptation. Furthermore, four challenges are suggested as explanation why adaptive systems are still not used on a large scale: inter-operability, open corpus knowledge, usage across a variety of delivery devices, and the design of meta-adaptive systems. AU - Somyurek, Sibel DA - 2015/02// IS - 1 PY - 2015 SN - 1492-3831 SP - 221-241 ST - The New Trends in Adaptive Educational Hypermedia Systems T2 - International Review of Research in Open and Distance Learning TI - The New Trends in Adaptive Educational Hypermedia Systems VL - 16 ID - 2081 ER - TY - CONF AB - In this paper, we propose a novel news video mining method based on statistical analysis and visualization. We divide the process of news video mining into three steps: preprocess, news video data mining, and pattern visualization. In the first step, we concentrate on content-based segmentation, clustering and events detection to acquire the metadata. In the second step, we perform news video data mining by some statistical methods. Considering news videos' features, in the analysis process we mainly concentrate on two factors: time and space. And in the third step, we try to visualize the mined patterns. We design two visualization methods: time-tendency graph and time-space distribution graph. Time-tendency graph is to reflect the tendencies of events, while time-space distribution graph is to reflect the relationships of time and space among various events. In this paper, we integrate news video analysis techniques with data mining techniques of statistical analysis and visualization to discover some implicit important information from large amount of news videos. Our experiments prove that this method is helpful for decision-making to some extent. AU - Yu-Xiang, Xie AU - Xi-Dao, Luan AU - Song-Yang, Lao AU - Ling-Da, Wu AU - Peng, Xiao AU - Zhi-Guang, Han C3 - Image and Video Retrieval. Third International Conference, CIVR 2004. Proceedings, 21-23 July 2004 DA - 2004 KW - content-based retrieval data mining data visualisation decision making digital video broadcasting feature extraction Graph theory image segmentation meta data multimedia computing pattern clustering statistical analysis video databases Video signal processing PB - Springer-Verlag PY - 2004 SP - 115-22 ST - A news video mining method based on statistical analysis and visualization T3 - Image and Video Retrieval. Third International Conference, CIVR 2004. Proceedings (Lecture Notes in Comput. Sci. Vol.3115) TI - A news video mining method based on statistical analysis and visualization ID - 1719 ER - TY - JOUR AB - Because of the rapidly changing economic environment of today, most organizations are finding it more and more difficult to win a competitive advantage or even simply maintain the status quo. However, some pioneering organizations have already started to redefine their long-cherished conventional wisdom for strategic planning and implementation by embracing the new information technology known as business intelligence (BI). This paper describes how Fujitsu can help build smarter business applications like customer relationship management (CRM) systems with revolutionary IT innovations such as concept extraction, text mining, and knowledge synthesis. AU - Saito, K. AU - Kato, H. AU - Kasakawa, M. DA - 1999 IS - 3 J2 - Fujitsu KW - business data processing data mining Data warehouses marketing data processing PY - 1999 SN - 0016-2515 SP - 130-4 ST - Next-generation data warehouse: business intelligence T2 - Fujitsu TI - Next-generation data warehouse: business intelligence VL - 50 ID - 911 ER - TY - CHAP A2 - Gupta, A. A2 - Henzinger, T. A. AB - Comprehensive bioinformatics repositories for the standard model organisms like mouse [9], rat [8], zebrafish [12], Drosophila [10] and Xenopus [4] provide access to all levels of sequence data sets, including genome, transcriptome and proteome data. For non-standard model organisms, very little information from publically accessible data have been collected and organized. This situation prevents dissemination of useful research information to a broader research community and keeps such model organisms in isolation. One of these organisms is the red spotted newt Notophthalmus viridescens, known for its exceptional regenerative capabilities for more than 200 years. The newt possesses the ability to entirely replace lost appendages [5, 13] and regenerate the lens [7], parts of the central nervous system [2], and the heart [1, 11]. These unique features make the newt an excellent model to study fundamental processes of tissue regeneration. Challenging is the fact, that the estimated genome size of the newt is up to 10 times larger than that of humans. These circumstances have severely impeded genome projects despite the increasing speed and capacities of modern sequencing machines and assembly algorithms. As a result of these drawbacks, approximately only 100 non-redundant protein sequences for the newt are available in the NCBI-NR database, although a set of almost 11 000 sequenced Expressed Sequence Tags ( ESTs) from regenerating hearts of the newt Notophthalmus viridescens exists [3]. In this context the 'Newtomics Resource' (http:/8/newtomics.mpi-bn.mpg.de/) [6] is developed as a bioinformatics tool with an integrated database, which enables researchers to analyze, retrieve and store data sets dedicated to the molecular characterization of this organism in a data-warehouse like manner. Newtomics has a unique transcript-centered database design, which refers to the biological reality and allows analyzing, storing, managing and data-mining of complex high-throughput datasets, as well as meta-information. The integrated design combines high-throughput data from NGS and traditional sequencing, annotation and functional characterization as well as quantitative expression data from time-series microarray-experiments and RNA-seq approaches. Furthermore, Newt-omics is also capable to work with large sets of identified peptides derived from a mass spectrometry approach. The design is open to additional datasets from different sources, without the need to change the database-structure or the data within. The integrated information is analyzed and data-mined by bioinformatics tools and pipelines, which processes the external data from operational sources. A web based graphical user interface allows access to the sets of molecular data. The implemented tools and the transcript-centered view combines and visualizes all kinds of data and allows a live view of the data on the transcriptomic and proteomic level. The open design and the bioinformatics tools allow a transfer of these achievements and use this important bio-computational tool in similar projects, which also focus on the characterization of niche model organisms. AU - Bruckskotten, Marc AU - Looso, Mario AU - Braun, Thomas PY - 2013 SN - 978-3-642-40708-6 978-3-642-40707-9 SP - 261-262 ST - Next-Newtomics: The Next Generation Repository for Bioinformatical Interpreted Omics Datasets from the Newt Notophthalmus viridescens T2 - Computational Methods in Systems Biology TI - Next-Newtomics: The Next Generation Repository for Bioinformatical Interpreted Omics Datasets from the Newt Notophthalmus viridescens VL - 8130 ID - 2034 ER - TY - CHAP AB - Background Background Nicotine receptor partial agonists may help people to stop smoking by a combination of maintaining moderate levels of dopamine to counteract withdrawal symptoms (acting as an agonist) and reducing smoking satisfaction (acting as an antagonist). Objectives Objectives To review the efficacy of nicotine receptor partial agonists, including varenicline and cytisine, for smoking cessation. Search methods Search methods We searched the Cochrane Tobacco Addiction Group's specialised register for trials, using the terms ('cytisine' or 'Tabex' or 'dianicline' or 'varenicline' or 'nicotine receptor partial agonist') in the title or abstract, or as keywords. The register is compiled from searches of MEDLINE, EMBASE, and PsycINFO using MeSH terms and free text to identify controlled trials of interventions for smoking cessation and prevention. We contacted authors of trial reports for additional information where necessary. The latest update of the specialised register was in May 2015, although we have included a few key trials published after this date. We also searched online clinical trials registers. Selection criteria Selection criteria We included randomised controlled trials which compared the treatment drug with placebo. We also included comparisons with bupropion and nicotine patches where available. We excluded trials which did not report a minimum follow-up period of six months from start of treatment. Data collection and analysis Data collection and analysis We extracted data on the type of participants, the dose and duration of treatment, the outcome measures, the randomisation procedure, concealment of allocation, and completeness of follow-up. The main outcome measured was abstinence from smoking at longest follow-up. We used the most rigorous definition of abstinence, and preferred biochemically validated rates where they were reported. Where appropriate we pooled risk ratios (RRs), using the Mantel-Haenszel fixed-effect model. Main results Main results Two trials of cytisine (937 people) found that more participants taking cytisine stopped smoking compared with placebo at longest follow-up, with a pooled risk ratio (RR) of 3.98 (95% confidence interval (CI) 2.01 to 7.87; low-quality evidence). One recent trial comparing cytisine with NRT in 1310 people found a benefit for cytisine at six months (RR 1.43, 95% CI 1.13 to 1.80). One trial of dianicline (602 people) failed to find evidence that it was effective (RR 1.20, 95% CI 0.82 to 1.75). This drug is no longer in development. We identified 39 trials that tested varenicline, 27 of which contributed to the primary analysis (varenicline versus placebo). Five of these trials also included a bupropion treatment arm. Eight trials compared varenicline with nicotine replacement therapy (NRT). Nine studies tested variations in varenicline dosage, and 13 tested usage in disease-specific subgroups of patients. The included studies covered 25,290 participants, 11,801 of whom used varenicline. The pooled RR for continuous or sustained abstinence at six months or longer for varenicline at standard dosage versus placebo was 2.24 (95% CI 2.06 to 2.43; 27 trials, 12,625 people; high-quality evidence). Varenicline at lower or variable doses was also shown to be effective, with an RR of 2.08 (95% CI 1.56 to 2.78; 4 trials, 1266 people). The pooled RR for varenicline versus bupropion at six months was 1.39 (95% CI 1.25 to 1.54; 5 trials, 5877 people; high-quality evidence). The RR for varenicline versus NRT for abstinence at 24 weeks was 1.25 (95% CI 1.14 to 1.37; 8 trials, 6264 people; moderate-quality evidence). Four trials which tested the use of varenicline beyond the 12-week standard regimen found the drug to be well-tolerated during long-term use. The number needed to treat with varenicline for an additional beneficial outcome, based on the weighted mean control rate, is 11 (95% CI 9 to 13). The most commonly reported adverse effect of varenicline was nausea, which was mostly at mild to moderate levels and usually subsided over time. Our analysis of reported serious adverse events occurring during or after active treatment suggests there may be a 25% increase in the chance of SAEs among people using varenicline (RR 1.25; 95% CI 1.04 to 1.49; 29 trials, 15,370 people; high-quality evidence). These events include comorbidities such as infections, cancers and injuries, and most were considered by the trialists to be unrelated to the treatments. There is also evidence of higher losses to follow-up in the control groups compared with the intervention groups, leading to a likely underascertainment of the true rate of SAEs among the controls. Early concerns about a possible association between varenicline and depressed mood, agitation, and suicidal behaviour or ideation led to the addition of a boxed warning to the labelling in 2008. However, subsequent observational cohort studies and meta-analyses have not confirmed these fears, and the findings of the EAGLES trial do not support a causal link between varenicline and neuropsychiatric disorders, including suicidal ideation and suicidal behaviour. The evidence is not conclusive, however, in people with past or current psychiatric disorders. Concerns have also been raised that varenicline may slightly increase cardiovascular events in people already at increased risk of those illnesses. Current evidence neither supports nor refutes such an association, but we await the findings of the CATS trial, which should establish whether or not this is a valid concern. Authors' conclusions Authors' conclusions Cytisine increases the chances of quitting, although absolute quit rates were modest in two recent trials. Varenicline at standard dose increased the chances of successful long-term smoking cessation between two- and three-fold compared with pharmacologically unassisted quit attempts. Lower dose regimens also conferred benefits for cessation, while reducing the incidence of adverse events. More participants quit successfully with varenicline than with bupropion or with NRT. Limited evidence suggests that varenicline may have a role to play in relapse prevention. The most frequently recorded adverse effect of varenicline is nausea, but mostly at mild to moderate levels and tending to subside over time. Early reports of possible links to suicidal ideation and behaviour have not been confirmed by current research. Future trials of cytisine may test extended regimens and more intensive behavioural support. AU - Cahill, Kate AU - Lindson-Hawley, Nicola AU - Thomas, Kyla H. AU - Fanshawe, Thomas R. AU - Lancaster, Tim DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006103.pub7/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2016 ST - Nicotine receptor partial agonists for smoking cessation T2 - Cochrane Database of Systematic Reviews TI - Nicotine receptor partial agonists for smoking cessation UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006103.pub7/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006103.pub7/full Y2 - 2016/09/18/20:15:38 ID - 420 ER - TY - JOUR AB - BACKGROUND: Despite the importance of health care fraud and the political, legislative and administrative attentions paid to it, combating fraud remains a challenge to the health systems. We aimed to identify, categorize and assess the effectiveness of the interventions to combat health care fraud and abuse. METHODS: The interventions to combat health care fraud can be categorized as the interventions for 'prevention' and 'detection' of fraud, and 'response' to fraud. We conducted sensitive search strategies on Embase, CINAHL, and PsycINFO from 1975 to 2008, and Medline from 1975-2010, and on relevant professional and organizational websites. Articles assessing the effectiveness of any intervention to combat health care fraud were eligible for inclusion in our review. We considered including the interventional studies with or without a concurrent control group. Two authors assessed the studies for inclusion, and appraised the quality of the included studies. As a limited number of studies were found, we analyzed the data using narrative synthesis. FINDINGS: The searches retrieved 2229 titles, of which 221 full-text studies were assessed. We found no studies using an RCT design. Only four original articles (from the US and Taiwan) were included: two studies within the detection category, one in the response category, one under the detection and response categories, and no studies under the prevention category. The findings suggest that data-mining may improve fraud detection, and legal interventions as well as investment in anti-fraud activities may reduce fraud. DISCUSSION: Our analysis shows a lack of evidence of effect of the interventions to combat health care fraud. Further studies using robust research methodologies are required in all aspects of dealing with health care fraud and abuse, assessing the effectiveness and cost-effectiveness of methods to prevent, detect, and respond to fraud in health care. AU - Rashidian, Arash AU - Joudaki, Hossein AU - Vian, Taryn DA - 2012 DO - 10.1371/journal.pone.0041988 IS - 8 J2 - PLoS One KW - *Fraud Cost-Benefit Analysis LA - eng PY - 2012 SN - 1932-6203 1932-6203 SP - e41988 ST - No evidence of the effect of the interventions to combat health care fraud and abuse: a systematic review of literature T2 - PloS one TI - No evidence of the effect of the interventions to combat health care fraud and abuse: a systematic review of literature VL - 7 ID - 246 ER - TY - CONF AB - Much content related information can be extracted from recorded soundtracks, such as those of multimedia files. The soundtracks might be heuristically classified into three categories namely speech, music and ambient or event sounds. Research in the past focused on algorithms to classify audio clips in an exclusive manner. However, soundtracks from media content are often presented as overlapped mixtures of all these three types of sounds. Nonexclusive segmentation and indexing are therefore essential pre-processors for effective audio information mining and metadata generation. This paper emphasizes the importance of nonexclusive indexing and segmentation methods, identifies the challenges and proposes a universal architecture for nonexclusive segmentation and indexing as a pre-processor for audio information mining, metadata extraction and scene analysis. Related feature selection, pattern recognition and signal processing algorithms are presented and testing results discussed. 2013 IEEE. AU - Li, Francis F. C3 - 2013 6th International Congress on Image and Signal Processing, CISP 2013, December 16, 2013 - December 18, 2013 DA - 2013 DO - 10.1109/CISP.2013.6743930 KW - Algorithms Audio systems Classification (of information) Computer architecture Indexing (of information) Metadata Pattern recognition Signal processing Sound recording N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2013 SP - 1593-1597 ST - Nonexclusive audio segmentation and indexing as a pre-processor for audio information mining T3 - Proceedings of the 2013 6th International Congress on Image and Signal Processing, CISP 2013 TI - Nonexclusive audio segmentation and indexing as a pre-processor for audio information mining UR - http://dx.doi.org/10.1109/CISP.2013.6743930 VL - 3 ID - 1276 ER - TY - JOUR AB - Background: Coronary heart diseases/coronary artery diseases (CHDs/CAD), the most common form of cardiovascular disease (CVD), are a major cause for death and disability in developing/developed countries. CAD risk factors could be detected by physicians to prevent the CAD occurrence in the near future. Invasive coronary angiography, a current diagnosis method, is costly and associated with morbidity and mortality in CAD patients. The aim of this study was to design a computer-based noninvasive CAD diagnosis system with clinically interpretable rules. Materials and Methods: In this study, the Cleveland CAD dataset from the University of California UCI (Irvine) was used. The interval-scale variables were discretized, with cut points taken from the literature. A fuzzy rule-based system was then formulated based on a neuro-fuzzy classifier (NFC) whose learning procedure was speeded up by the scaled conjugate gradient algorithm. Two feature selection (FS) methods, multiple logistic regression (MLR) and sequential FS, were used to reduce the required attributes. The performance of the NFC (without/with FS) was then assessed in a hold-out validation framework. Further cross-validation was performed on the best classifier. Results: In this dataset, 16 complete attributes along with the binary CHD diagnosis (gold standard) for 272 subjects (68% male) were analyzed. MLR + NFC showed the best performance. Its overall sensitivity, specificity, accuracy, type I error (a) and statistical power were 79%, 89%, 84%, 0.1 and 79%, respectively. The selected features were "age and ST/heart rate slope categories," "exercise-induced angina status," fluoroscopy, and thallium-201 stress scintigraphy results. Conclusion: The proposed method showed "substantial agreement" with the gold standard. This algorithm is thus, a promising tool for screening CAD patients. Original AU - Marateb, Hamid Reza AU - Goudarzi, Sobhan DA - 2015/03// IS - 3 PY - 2015 SN - 1735-1995 SP - 214-223 ST - A noninvasive method for coronary artery diseases diagnosis using a clinically-interpretable fuzzy rule-based system T2 - Journal of Research in Medical Sciences TI - A noninvasive method for coronary artery diseases diagnosis using a clinically-interpretable fuzzy rule-based system VL - 20 ID - 2029 ER - TY - JOUR AB - Nonlinear dynamics of a simple bead-spring glass-forming polymer were studied with molecular dynamics simulations. The energy response to sinusoidal variations in the temperature was tracked in order to evaluate the dynamic heat capacity. The amplitude dependence of the response is the focus of the current paper where pronounced nonlinear behavior is observed for large amplitudes in the temperature driving force. We generalize the usual linear response analysis to the nonlinear regime so that higher order terms in the Fourier series of the energy response can be compactly analyzed. This is done by grouping all Fourier terms contributing to entropy generation into a loss contribution and the remainder yields the storage term. Finally, the bead-spring system is mapped onto three simpler models. First is a potential energy inspired trap model consisting of interconnected potential energy meta-basins and barriers. Second is the Tool-Narayanaswamy-Moynihan (TNM) model. Third is a version of the TNM model with a temperature dependent heat capacity. Qualitatively similar nonlinear behaviors are observed in all cases. 2012 American Institute of Physics. AU - Brown, Jonathan R. AU - McCoy, John D. DA - 2012 DO - 10.1063/1.4772467 IS - 24 J2 - Journal of Chemical Physics KW - Entropy Fourier series Molecular dynamics Potential energy Specific heat L1 - internal-pdf://0552910253/Brown-2012-Nonlinear dynamic heat capacity of.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 00219606 ST - Nonlinear dynamic heat capacity of a bead-spring polymeric glass former T2 - Journal of Chemical Physics TI - Nonlinear dynamic heat capacity of a bead-spring polymeric glass former UR - http://dx.doi.org/10.1063/1.4772467 http://scitation.aip.org.ezproxy.lib.vt.edu/docserver/fulltext/aip/journal/jcp/137/24/1.4772467.pdf?expires=1474815654&id=id&accname=2102195&checksum=A5F663FC21B504DC078AE47B7AF2DD3D VL - 137 ID - 569 ER - TY - CONF AB - People are increasingly using social media, especially online communities, to discuss mental health issues and seek supports. Understanding topics, interaction, sentiment and clustering structures of these communities informs important aspects of mental health. It can potentially add knowledge to the underlying cognitive dynamics, mood swings patterns, shared interests, and interaction. There has been growing research interest in analyzing online mental health communities; however sentiment analysis of these communities has been largely under-explored. This study presents an analysis of online Live Journal communities with and without mental health-related conditions including depression and autism. Latent topics for mood tags, affective words, and generic words in the content of the posts made in these communities were learned using nonparametric topic modelling. These representations were then input into a nonparametric clustering to discover meta-groups among the communities. The best performance results can be achieved on clustering communities with latent mood-based representation for such communities. The study also found significant differences in usage latent topics for mood tags and affective features between online communities with and without affective disorders. The findings reveal useful insights into hyper-group detection of online mental health-related communities. 2015 IEEE. AU - Dao, Bo AU - Nguyen, Thin AU - Venkatesh, Svetha AU - Phung, Dinh C3 - IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015, October 19, 2015 - October 21, 2015 DA - 2015 DO - 10.1109/DSAA.2015.7344841 KW - data mining Health Online Systems Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - Booz-Allen Hamilton; et al.; IEEE Big Data Initiative; IEEE Computational Intelligence Society (CIS); InfoSys; Tata Consultancy Services ST - Nonparametric discovery of online mental health-related communities T3 - Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015 TI - Nonparametric discovery of online mental health-related communities UR - http://dx.doi.org/10.1109/DSAA.2015.7344841 ID - 870 ER - TY - JOUR AB - We present a novel framework for the optimization and synthesis of complex reactor networks based on systems knowledge in an effort to overcome convergence and computational speed limitations associated with current reactor network synthesis technologies. Reaction pathway analysis uses data mining techniques for knowledge acquisition to develop design rules which are subsequently used to focus superstructure optimization using meta-heuristics in the form of tabu search. The paper focuses on the components of the framework and presents successful applications to previously studied reactor network optimization problems. 2004 Institution of Chemical Engineers. AU - Ashley, V. M. AU - Linke, P. DA - 2004 DO - 10.1205/cerd.82.8.952.41547 IS - 8 J2 - Chemical Engineering Research and Design KW - Computational methods Engineering research Operations research Optimization Speed Synthesis (chemical) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2004 SN - 02638762 SP - 952-960 ST - A novel approach for reactor network synthesis using knowledge discovery and optimization techniques T2 - Chemical Engineering Research and Design TI - A novel approach for reactor network synthesis using knowledge discovery and optimization techniques UR - http://dx.doi.org/10.1205/cerd.82.8.952.41547 VL - 82 ID - 1597 ER - TY - CONF AB - Measuring the semantic similarity between words is a significant feature of the web mining domain. The notion of semantic similarity finds applications in various horizons such as relation extraction, community mining, document clustering, and automatic meta data extraction. This paper introduces a method for measuring the semantic similarity of English words. It combines web search engine based similarity measures namely page counts and probability measure from text snippets with the lexical taxonomy based measures of similarity. The adopted measures are employed and learned using support vector machines. The proposed method is successful in achieving a competent accuracy for the said purpose. 2014 IEEE. AU - Sahni, Lakshay AU - Sehgal, Anubhav AU - Kochar, Shaivi AU - Ahmad, Faiyaz AU - Ahmad, Tanvir C3 - 2014 2nd International Symposium on Computational and Business Intelligence, ISCBI 2014, December 7, 2014 - December 8, 2014 DA - 2014 DO - 10.1109/ISCBI.2014.26 KW - data mining Extraction Information analysis information retrieval Probability Search Engines Semantics Semantic Web Social networking (online) World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2014 SP - 89-92 ST - A Novel Approach to Find Semantic Similarity Measure between Words T3 - Proceedings - 2014 2nd International Symposium on Computational and Business Intelligence, ISCBI 2014 TI - A Novel Approach to Find Semantic Similarity Measure between Words UR - http://dx.doi.org/10.1109/ISCBI.2014.26 ID - 1261 ER - TY - CONF AB - In an mRNA sequence, the prediction of the exact codon where the process of translation starts (translation initiation site - TIS) is a particularly important problem. So far it has been tackled by several researchers that apply various statistical and machine learning techniques, achieving high accuracy levels, often over 90%. In this paper we propose a machine learning approach that can further improve the prediction accuracy. First, we provide a concise review of the literature in this field. Then we propose a novel feature set. We perform extensive experiments on a publicly available, real world dataset for various vertebrate organisms using a variety of novel features and classification setups. We evaluate our results and compare them with a reference study and show that our approach that involves new features and a combination of the ribosome scanning model with a meta-classifier shows higher accuracy in most cases. AU - Tzanis, G. AU - Berberidis, C. AU - Vlahavas, I. C3 - Biological and Medical Data Analysis. 7th International Symposium, ISBMDA 2006. Proceedings, 7-8 Dec. 2006 DA - 2006 KW - biology computing data mining learning (artificial intelligence) macromolecules pattern classification PB - Springer-Verlag PY - 2006 SP - 92-103 ST - A novel data mining approach for the accurate prediction of translation initiation sites T3 - Biological and Medical Data Analysis. 7th International Symposium, ISBMDA 2006. Proceedings (Lecture Notes in Bioinformatics Vol. 4345) TI - A novel data mining approach for the accurate prediction of translation initiation sites ID - 1778 ER - TY - JOUR AB - The World Wide Web (WWW) is growing in both the volume of traffic and the complexity of website, it has become very important to classify this web traffic and the usage of the web site according to predetermined attributes. Web Usage Mining (WUM) is the process of extracting knowledge from the accessed data by the web users. Classifying web users' sessions provides valuable information for web designers to respond to their individual needs in time. The main objective of this paper is to classify users' sessions. However, most of classification algorithms obtained good performance for specific problems, but they are not robust enough for all kinds of problems. Combination of multiple classifiers can be considered as a general solution method for pattern discovery. It has been shown that the combination of classifiers obtains better results compared to a single classifier provided that its components are independent or they have diverse outputs. This paper compares the accuracy of ensemble models, which take advantage of groups of learners to yield better results. The Base classifiers that have been used in this approach are: decision tree algorithm, k-Nearest Neighbor, Naive Bayesian and BayesNet. Stacking and Voting are used as Meta classifiers. The performance of our approach is measured and compared using Sudan University of Science and Technology (SUST) web log data with session based timing. Different comparative analysis and evaluation were done using various metrics, such as Error Rate, ROC curves, Confusion Matrix, F- measure and the Matthews correlation coefficient. The results show that these ensemble machine learning models using voting meta classifier can significantly improve users sessions classification. It can achieve high accuracy in comparison with the outcomes of the all base and meta classifiers proposed. AU - Hamed Ahmed Elhebir, M. AU - Abraham, A. DA - 2015 J2 - International Journal of Computer Information Systems and Industrial Management Applications KW - Bayes methods data mining Internet learning (artificial intelligence) pattern classification Web sites PY - 2015 SN - 2150-7988 SP - 189-95 ST - A Novel Ensemble Approach to Enhance the Performance of Web Server Logs Classification T2 - International Journal of Computer Information Systems and Industrial Management Applications TI - A Novel Ensemble Approach to Enhance the Performance of Web Server Logs Classification VL - 7 ID - 1130 ER - TY - JOUR AB - In the field of weather forecasting especially in rainfall prediction many researchers employed different data mining techniques to deal with that problem by using different predictors. This paper proposes a novel method to develop long-term weather forecasting model for rainfall prediction by using ensemble technique. Monthly meteorological data that obtained from Central Bureau of Statistics Sudan from 2000 to 2012, for 24 meteorological stations distributed among the country has been used. The dataset contained date, minimum temperature relative humidity, wind direction and rainfall as the predictors. In the experiments we built 10 base algorithm models (Gaussian Processes, Linear Regression, Multilayer Perceptron, IBk, KStar, Decision Table, M5Rules, M5P, REP Tree and User Classifier.), 7 Meta algorithms(Additive Regression, Bagging, Multi Scheme, Random Subset, Regressionby Discretization, Stacking, and Vote).The new novel ensemble method has been constructed based of Meta classifier Vote combining with three base classifiers IBK, K-star and M5P.The models have been evaluated by using correlation coefficient; mean absolute error and root mean-squared error as performance metrics. Also we use the both time taken to build the model and time taken to test model on supplied test set to compare and differentiate among the models results show that the new novel ensemble method has the best performance comparing to both basic and Meta algorithms. AU - Bushara, N. O. AU - Abraham, A. DA - 2015 J2 - International Journal of Computer Information Systems and Industrial Management Applications KW - atmospheric humidity atmospheric temperature data mining Gaussian processes multilayer perceptrons rain Regression Analysis weather forecasting wind PY - 2015 SN - 2150-7988 SP - 116-30 ST - Novel Ensemble Method for Long Term Rainfall Prediction T2 - International Journal of Computer Information Systems and Industrial Management Applications TI - Novel Ensemble Method for Long Term Rainfall Prediction VL - 7 ID - 1420 ER - TY - JOUR AB - Sales forecasting is very beneficial to most businesses. A successful business needs accurate sales forecasting to understand the market and sales trends. This paper presents a novel sales forecasting model by integrating support vector regression (SVR) and bat algorithm (BA). Since the accuracy of SVR forecasting mainly depends on SVR parameters, we use BA for tuning these parameters because Bat is a newly introduced algorithm and has many parameters. In order to find the best set of BA parameters Taguchi method was utilized. We validated our model on four known UCI datasets. Then we applied our model in printed circuit board (PCB) sales forecasting case study. We compared the accuracy of the proposed model with Genetic algorithm (GA)-SVR, particle swarm optimization (PSO)-SVR, and classic-SVR. The experimental results show that the proposed model outperforms the others. To ensure the robustness of our proposed model, sensitivity analysis was also done using our model to find out the effects of dependent variables values on sales time series. AU - Tavakkoli, Amirmohammad AU - Rezaeenour, Jalal AU - Hadavandi, Esmaeil DA - 2015/01// DO - 10.1142/S0219622014500849 IS - 1 PY - 2015 SN - 0219-6220 SP - 195-215 ST - A Novel Forecasting Model Based on Support Vector Regression and Bat Meta-Heuristic (Bat-SVR): Case Study in Printed Circuit Board Industry T2 - International Journal of Information Technology & Decision Making TI - A Novel Forecasting Model Based on Support Vector Regression and Bat Meta-Heuristic (Bat-SVR): Case Study in Printed Circuit Board Industry VL - 14 ID - 1989 ER - TY - JOUR AB - Relative insulin deficiency, in response to increased metabolic demand (obesity, genetic insulin resistance, pregnancy and aging) lead to Type2 diabetes. Susceptibility of the type 2 diabetes has a genetic basis, as a subset of people with risk factors (obesity, Insulin Resistance, pregnancy), develop Type2 Diabetes. We aimed to identify 'cluster' of overexpressed genes, underlying increased beta cell survival in diabetes resistant C57BL/6J ob/ob mice (compared to diabetes susceptible BTBR ob/ob mice). We used 'consensus' overexpression status to identify 'cluster' of 11 genes consisting of Aldh18a1, Rfc4, Dynlt3, Prom1, H13, Psen1, Ssr4, Dad1, Anpep, Fam111a and Plk1. Information (biological processes, molecular functions, cellular components, protein-protein interactions/associations, gene deletion/knockout/inhibition studies) of all the genes in 'cluster' were collected by text mining using different literature search tools, gene information databases and protein-protein interaction databases. Beta cell specific function of these genes were also inferred using meta analysis tool of Beta Cell Biology Consortium, by studying the expression pattern of these genes in microarray studies related to beta-cell stimulation/injury, pancreas development and growth and cell differentiation. In the 'clusters', 6 genes (Dad1, Psen1, Ssr4, Rfc4, H13, Plk1) have a role in cell survival. Only Psen1 was previously identified to have role in successful beta cell compensation. We advocate these genes to be potentially involved in successful beta cell compensation and prevent T2D in humans, by conferring protection against diabetogenic insults. AU - Singh, Himadri AU - Farouk, Mohammed AU - Bose, Barish Baran AU - Singh, Prabhakar DA - 2013 DO - 10.6026/97320630009037 IS - 1 J2 - Bioinformation KW - Dad1 Diabetes metabolic load obesity Psen1 LA - eng PY - 2013 SN - 0973-2063 0973-2063 SP - 37-41 ST - Novel genes underlying beta cell survival in metabolic stress T2 - Bioinformation TI - Novel genes underlying beta cell survival in metabolic stress VL - 9 ID - 280 ER - TY - CONF AB - First, we proposed a heterogeneous information integration framework for colliery based on ontology and SOA. Then, we discussed the three levels of colliery information integration, i.e. datasets' creation, the transparent access of datasets, services' creation and collaboration. The contents were transmitted to specified application through data translation, service process description and data routing system. The framework can come true by following path: mine integrated automation, ontology extracting and metadata base creation, integration of services and applications. AU - Hu, Qing-Song AU - Zhang, Shen AU - Ding, En-Jie C3 - 2009 Fifth International Conference on Semantics, Knowledge and Grid (SKG 2009), 12-14 Oct. 2009 DA - 2009 DO - 10.1109/SKG.2009.30 KW - Coal Information analysis meta data mining industry ontologies (artificial intelligence) PB - IEEE PY - 2009 SP - 414-15 ST - A novel heterogeneous information integration framework for colliery T3 - Proceedings of the 2009 Fifth International Conference on Semantics, Knowledge and Grid (SKG 2009) TI - A novel heterogeneous information integration framework for colliery UR - http://dx.doi.org/10.1109/SKG.2009.30 ID - 889 ER - TY - JOUR AB - Portfolio selection is one of the major capital allocation and budgeting issues in financial management, and a variety of models have been presented for optimal selection. Semi-variance is usually considered as a risk factor in drawing up an efficient frontier and the optimal portfolio. Since semi-variance offers a better estimation of the actual risk portfolio, it was used as a measure to approximate the risk of investment in this work. The optimal portfolio selection is one of the non-deterministic polynomial (NP)-hard problems that have not been presented in an exact algorithm, which can solve this problem in a polynomial time. Meta-heuristic algorithms are usually used to solve such problems. A novel hybrid harmony search and artificial bee colony algorithm and its application were introduced in order to draw efficient frontier portfolios. Computational results show that this algorithm is more successful than the harmony search method and genetic algorithm. In addition, it is more accurate in finding optimal solutions at all levels of risk and return. AU - Seyedhosseini, S. M. AU - Esfahani, M. J. AU - Ghaffari, M. DA - 2016/01// DO - 10.1007/s11771-016-3061-9 IS - 1 J2 - Journal of Central South University. Science & Technology of Mining and Metallurgy KW - budgeting Computational complexity optimisation risk analysis search problems venture capital PY - 2016 SN - 2095-2899 SP - 181-8 ST - A novel hybrid algorithm based on a harmony search and artificial bee colony for solving a portfolio optimization problem using a mean-semi variance approach T2 - Journal of Central South University. Science & Technology of Mining and Metallurgy TI - A novel hybrid algorithm based on a harmony search and artificial bee colony for solving a portfolio optimization problem using a mean-semi variance approach UR - http://dx.doi.org/10.1007/s11771-016-3061-9 VL - 23 ID - 658 ER - TY - CONF AB - Uncovering genetic pathways is equivalent to finding clusters of genes with expression levels that evolve coherently under subsets of conditions. Conventional clustering approaches like K-Means, heuristic biclustering approaches like Greedy Algorithms, meta-heuristic biclustering approaches like Genetic Algorithm, Simulated Annealing or Particle Swarm Optimization may not be specific enough to find correlations between genes in an appropriate manner, as each of the algorithms has its own merits and demerits. In this paper, a hybrid PSO-SA BIClustering algorithm namely PSO-SA-BIC that combines features of binary PSO with Simulated Annealing has been proposed in order to extract biclusters of gene expression data. A novel fitness function, based on ACV has been used to identify shifting pattern and scaling pattern biclusters. Experimental results on bench mark datasets show that PSO-SA-BIC algorithm is outperforming the classical algorithms by providing statistically significant biclusters. AU - Thangavel, K. AU - Bagyamani, J. AU - Rathipriya, R. C3 - International Conference on Communication Technology and System Design 2011, ICCTSD 2011, December 7, 2011 - December 9, 2011 DA - 2012 DO - 10.1016/j.proeng.2012.01.962 KW - Clustering algorithms Communication data mining gene expression Heuristic algorithms Particle swarm optimization (PSO) Simulated annealing Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Elsevier Ltd PY - 2012 SN - 18777058 SP - 1048-1055 ST - Novel hybrid PSO-SA model for biclustering of expression data T3 - Procedia Engineering TI - Novel hybrid PSO-SA model for biclustering of expression data UR - http://dx.doi.org/10.1016/j.proeng.2012.01.962 VL - 30 ID - 923 ER - TY - CHAP A2 - Hassanien, A. E. A2 - Azar, A. T. A2 - Snasel, V. A2 - Kacprzyk, J. A2 - Abawajy, J. H. AB - The progress in bio-informatics and biotechnology area has generated a big amount of sequence data that requires a detailed analysis. Recent advances in future generation sequencing technologies have resulted in a tremendous raise in the rate of that protein sequence data are being obtained. Big Data analysis is a clear bottleneck in many applications, especially in the field of bio-informatics, because of the complexity of the data that needs to be analyzed. Protein sequence analysis is a significant problem in functional genomics. Proteins play an essential role in organisms as they perform many important tasks in their cells. In general, protein sequences are exhibited by feature vectors. A major problem of protein dataset is the complexity of its analysis due to their enormous number of features. Feature selection techniques are capable of dealing with this high dimensional space of features. In this chapter, the new feature selection algorithm that combines the Improved Harmony Search algorithm with Rough Set theory for Protein sequences is proposed to successfully tackle the big data problems. An Improved harmony search (IHS) algorithm is a comparatively new population based meta-heuristic optimization algorithm. This approach imitates the music improvisation process, where each musician improvises their instrument's pitch by seeking for a perfect state of harmony and it overcomes the limitations of traditional harmony search (HS) algorithm. An Improved Harmony Search hybridized with Rough Set Quick Reduct for faster and better search capabilities. The feature vectors are extracted from protein sequence database, based on amino acid composition and K-mer patterns or K-tuples and then feature selection is carried out from the extracted feature vectors. The proposed algorithm is compared with the two prominent algorithms, Rough Set Quick Reduct and Rough Set based PSO Quick Reduct. The experiments are carried out on protein primary single sequence data sets that are derived from PDB on SCOP classification, based on the structural class predictions such as all alpha, all beta, all alpha+beta and all alpha/beta. The feature subset of the protein sequences predicted by both existing and proposed algorithms are analyzed with the decision tree classification algorithms. AU - Bagyamathi, M. AU - Inbarani, H. Hannah PY - 2015 SN - 978-3-319-11056-1 978-3-319-11055-4 SP - 173-204 ST - A Novel Hybridized Rough Set and Improved Harmony Search Based Feature Selection for Protein Sequence Classification T2 - Big Data in Complex Systems: Challenges and Opportunities TI - A Novel Hybridized Rough Set and Improved Harmony Search Based Feature Selection for Protein Sequence Classification VL - 9 ID - 2039 ER - TY - CONF AB - Manually annotating unstructured texts for finding significant concepts is a knowledge intensive process and, given the amount of data available on the Web and on digital libraries nowadays, it is not cost effective. Therefore automatic annotators capable to perform like human experts are extremely desirable. State of the art systems already offer good performance but they are often limited to one language, one domain of application, and can not entail concepts that do not appear but are logically/semantically implied in the text. In order to overcome this shortcomings, we propose here a novel knowledge-based, language independent, unsupervised approach towards keyphrase generation. We developed DIKpE-G, an experimental prototype system which integrates different kinds of knowledge, from linguistic to statistical, meta/structural, social, and ontological knowledge. DIKpE-G is capable to extract, evaluate, and infer meaningful concepts from a natural language text. The prototype performs well over both Italian and English texts. Springer International Publishing Switzerland 2015. AU - DeglInnocenti, Dante AU - de Nart, Dario AU - Tasso, Carlo C3 - 6th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2014, October 21, 2014 - October 24, 2014 DA - 2015 DO - 10.1007/978-3-319-25840-9_9 KW - Classification (of information) Computational linguistics cost effectiveness Digital Libraries information retrieval Knowledge based systems knowledge engineering Knowledge management Natural language processing systems Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 18650929 SP - 132-142 ST - A novel knowledge-based architecture for concept mining on Italian and english texts T3 - Communications in Computer and Information Science TI - A novel knowledge-based architecture for concept mining on Italian and english texts UR - http://dx.doi.org/10.1007/978-3-319-25840-9_9 VL - 553 ID - 971 ER - TY - JOUR AB - In recent years, coordinate-based meta-analyses have become a powerful and widely used tool to study co-activity across neuroimaging experiments, a development that was supported by the emergence of large-scale neuroimaging databases like BrainMap. However, the evaluation of co-activation patterns is constrained by the fact that previous coordinate-based meta-analysis techniques like Activation Likelihood Estimation (ALE) and Multilevel Kernel Density Analysis (MKDA) reveal all brain regions that show convergent activity within a dataset without taking into account actual within-experiment co-occurrence patterns. To overcome this issue we here propose a novel meta-analytic approach named PaMiNI that utilizes a combination of two well-established data-mining techniques, Gaussian mixture modeling and the Apriori algorithm. By this, PaMiNI enables a data-driven detection of frequent co-activation patterns within neuroimaging datasets. The feasibility of the method is demonstrated by means of several analyses on simulated data as well as a real application. The analyses of the simulated data show that PaMiNI identifies the brain regions underlying the simulated activation foci and perfectly separates the co-activation patterns of the experiments in the simulations. Furthermore, PaMiNI still yields good results when activation foci of distinct brain regions become closer together or if they are non-Gaussian distributed. For the further evaluation, a real dataset on working memory experiments is used, which was previously examined in an ALE meta-analysis and hence allows a cross-validation of both methods. In this latter analysis, PaMiNI revealed a fronto-parietal "core" network of working memory and furthermore indicates a left-lateralization in this network. Finally, to encourage a widespread usage of this new method, the PaMiNI approach was implemented into a publicly available software system. AU - Caspers, Julian AU - Zilles, Karl AU - Beierle, Christoph AU - Rottschy, Claudia AU - Eickhoff, Simon B. DA - 2014/04/15/ DO - 10.1016/j.neuroimage.2013.12.024 J2 - Neuroimage KW - *Algorithms *Meta-Analysis as Topic *Neuroimaging Association analysis BrainMap database Brain/*physiology Coordinate-based meta-analysis Databases, Factual Gaussian mixture modeling Humans Likelihood Functions PaMiNI L1 - internal-pdf://1061730690/Caspers-2014-A novel meta-analytic approach_ m.pdf LA - eng PY - 2014 SN - 1095-9572 1053-8119 SP - 390-402 ST - A novel meta-analytic approach: mining frequent co-activation patterns in neuroimaging databases T2 - NeuroImage TI - A novel meta-analytic approach: mining frequent co-activation patterns in neuroimaging databases UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4981640/pdf/nihms775168.pdf VL - 90 ID - 13 ER - TY - JOUR AB - Clustering the web documents is one of the most important approaches for mining and extracting knowledge from the web. Recently, one of the most attractive trends in clustering the high dimensional web pages has been tilt toward the learning and optimization approaches. In this paper, we propose novel hybrid harmony search (HS) based algorithms for clustering the web documents that finds a globally optimal partition of them into a specified number of clusters. By modeling clustering as an optimization problem, first, we propose a pure harmony search-based clustering algorithm that finds near global optimal clusters within a reasonable time. Then, we hybridize K-means and harmony clustering in two ways to achieve better clustering. Experimental results reveal that the proposed algorithms can find better clusters when compared to similar methods and also illustrate the robustness of the hybrid clustering algorithms. 2007 Elsevier Inc. All rights reserved. AU - Mahdavi, M. AU - Chehreghani, M. Haghir AU - Abolhassani, H. AU - Forsati, R. DA - 2008 DO - 10.1016/j.amc.2007.12.058 IS - 1-2 J2 - Applied Mathematics and Computation KW - Cluster Analysis Heuristic algorithms Knowledge acquisition Optimization Web services N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2008 SN - 00963003 SP - 441-451 ST - Novel meta-heuristic algorithms for clustering web documents T2 - Applied Mathematics and Computation TI - Novel meta-heuristic algorithms for clustering web documents UR - http://dx.doi.org/10.1016/j.amc.2007.12.058 VL - 201 ID - 1308 ER - TY - CONF AB - Past research has challenged us with the task of showing relational patterns between text-based data and then clustering for predictive analysis using Golay Code technique. We focus on a novel approach to extract metaknowledge in multimedia datasets. Our collaboration has been an on-going task of studying the relational patterns between data points based on met features extracted from metaknowledge in multimedia datasets. Those selected are significant to suit the mining technique we applied, Golay Code algorithm. In this research paper we summarize findings in optimization of metaknowledge representation for 23-bit representation of structured and unstructured multimedia data in order to be processed in 23-bit Golay Code for cluster recognition. 2015 IEEE. AU - Bari, Nima AU - Vichr, Roman AU - Kowsari, Kamran AU - Berkovich, Simon Y. C3 - 1st IEEE International Conference on Multimedia Big Data, BigMM 2015, April 20, 2015 - April 22, 2015 DA - 2015 DO - 10.1109/BigMM.2015.78 KW - Big data Block codes Clustering algorithms Codes (symbols) data handling data mining feature extraction Search Engines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 204-207 ST - Novel Metaknowledge-Based Processing Technique for Multimediata Big Data Clustering Challenges T3 - Proceedings - 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015 TI - Novel Metaknowledge-Based Processing Technique for Multimediata Big Data Clustering Challenges UR - http://dx.doi.org/10.1109/BigMM.2015.78 ID - 1104 ER - TY - CONF AB - Automatic text classification means assigning text documents to the categories automatically. Web documents are a kind of text documents but they differ in two ways. First, Web documents are structured documents. Second, Web documents have relationship with each other through hyperlinks. In this article we propose a novel method for Web text classification. Our proposed method enhances classifier performance in two steps. First, we try to use Web graph information to create a virtual page for target Web page and use it instead of target Web page. Then we learn classifiers with these virtual pages. Second, we use different classifier methods such as naive Bayes, decision tree, ripper rule learner and SVM and learn these classifiers with different virtual pages. Then we use meta classifier to get all classifier results then combine these results with voting methods. Our experiments show that meta classifier improves classifier performance. AU - Moradi, P. AU - Abdollahzadeh, A. AU - Shiri, M. I. C3 - International Conference on Information & Communication Technologies: from Theory to Applications, 24-28 April 2006 DA - 2006 KW - classification learning (artificial intelligence) text analysis Web sites N1 -CD-ROM
PB - IEEE PY - 2006 SP - 6-pp. ST - Novel method for improving Web text classifiers performance through machine learning T3 - International Conference on Information Communication Technologies: from Theory to Applications (IEEE Cat. No. 06EX1220C) TI - Novel method for improving Web text classifiers performance through machine learning ID - 1011 ER - TY - CONF AB - As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more essential to analyze both structured data and unstructured textual data simultaneously. However information contained in non structured data (documents and so on) is only partially used in business intelligence (BI). Indeed On-Line Analytical Processing (OLAP) cubes which are the main support of BI analysis in decision support systems have focused on structured data. This is the reason why OLAP is being extended to unstructured textual data. In this paper we introduce the innovative Diamond multidimensional model that will serve as a basis for semantic OLAP on XML documents and then we describe the meta modeling, generation and implementation of a the Diamond multidimensional model. AU - Azabou, M. AU - Khrouf, K. AU - Feki, J. AU - Soule-Dupuy, C. AU - Valles, N. C3 - Model and Data Engineering. 4th International Conference, MEDI 2014, 24-26 Sept. 2014 DA - 2014 DO - 10.1007/978-3-319-11587-0_24 KW - business data processing Competitive intelligence data analysis data mining data models Decision support systems text analysis XML PB - Springer International Publishing PY - 2014 SP - 258-72 ST - A Novel Multidimensional Model for the OLAP on Documents: Modeling, Generation and Implementation T3 - Model and Data Engineering. 4th International Conference, MEDI 2014. Proceedings: LNCS 8748 TI - A Novel Multidimensional Model for the OLAP on Documents: Modeling, Generation and Implementation UR - http://dx.doi.org/10.1007/978-3-319-11587-0_24 ID - 1100 ER - TY - JOUR AB - BACKGROUND: The uncharacterized proteins of the human proteome offer an untapped potential for cancer biomarker discovery. Numerous predicted open reading frames (ORFs) are present in diverse chromosomes. The mRNA and protein expression data, as well as the mutational and variant information for these ORF proteins are available in the cancer-related bioinformatics databases. MATERIALS AND METHODS: ORF proteins were mined using bioinformatics and proteomic tools to predict motifs and domains, and cancer relevance was established using cancer genome, transcriptome and proteome analysis tools. RESULTS: A novel testis-restricted ORF protein present in chromosome X called CXorf66 was detected in the serum, plasma and neutrophils. This gene is termed secreted glycoprotein in chromosome X (SGPX). The SGPX gene is up-regulated in cancer of the brain, lung and in leukemia, and down-regulated in liver and prostate cancer. Brain cancer in female patients exhibited elevated copy numbers of the SGPX gene. CONCLUSION: The SGPX gene is a putative novel cancer biomarker. Our results demonstrate the feasibility of mining the 'dark matter' of the cancer proteome for rapid cancer biomarker discovery. AU - Delgado, Ana Paula AU - Hamid, Sheilin AU - Brandao, Pamela AU - Narayanan, Ramaswamy DA - 2014/04//Mar- undefined IS - 2 J2 - Cancer Genomics Proteomics KW - Biomarkers Biomarkers, Tumor cell trafficking Chromosomes, Human, X/*genetics/metabolism 'dark matter' of the genome DNA Copy Number Variations DNA Mutational Analysis gene expression Humans Membrane Glycoproteins/chemistry/*genetics/metabolism Models, Molecular Neoplasms/*genetics/metabolism ORF Protein Structure, Tertiary secreted protein serum protein Signal peptide uncharacterized proteins vesicular transport X-chromosome L1 - internal-pdf://2229656757/Delgado-2014-A novel transmembrane glycoprotei.pdf LA - eng PY - 2014 SN - 1790-6245 1109-6535 SP - 81-92 ST - A novel transmembrane glycoprotein cancer biomarker present in the X chromosome T2 - Cancer genomics & proteomics TI - A novel transmembrane glycoprotein cancer biomarker present in the X chromosome UR - http://cgp.iiarjournals.org/content/11/2/81.full.pdf VL - 11 ID - 207 ER - TY - JOUR AB - This paper aims at introducing new approaches for designing and optimising induction heat treatment processes. Although the final objectives of induction heating processes may deal with some specific mechanical or metallurgical properties for manufactured parts, we shall primarily focus here on achieving an accurate control of temperature distribution and evolution in the Heat Affected Zone (HAZ). This objective can be formalised as a classical optimisation problem: we seek to minimise a cost function which measures the difference between computed and goal temperatures - along with some constraints on process parameters. We deal here with both zero-order algorithms - using a method based on Efficient Global Optimization algorithm which is an optimisation procedure assisted by a meta model - as well as first-order algorithms. These algorithms have been coupled with 2-D and 3-D finite element models developed in our laboratory; this model is based on a coupling procedure between Maxwell equations and heat transfer models, and has been extended to mechanical and metallurgical computations. [All rights reserved Elsevier]. AU - Naar, R. AU - Bay, F. DA - 2013/02/15/ DO - 10.1016/j.apm.2012.04.058 IS - 4 J2 - Applied Mathematical Modelling KW - finite element analysis heat transfer heat treatment induction heating optimisation temperature distribution PY - 2013 SN - 0307-904X SP - 2074-85 ST - Numerical optimisation for induction heat treatment processes T2 - Applied Mathematical Modelling TI - Numerical optimisation for induction heat treatment processes UR - http://dx.doi.org/10.1016/j.apm.2012.04.058 VL - 37 ID - 592 ER - TY - CONF AB - During the pressing step, the clay tiles undergo stresses which result in the appearance of defects. A rheological study, based on free compression tests, allowed to confirm the Elasto-viscoplastic behaviour of the clay. The different constitutive parameters were estimated by fitting the force-displacement experimental curves using the optimisation algorithm (ES Metamodel) implanted in the commercial software Forge 2009®. The influence of the tribological parameters was studied using squeezing numerical simulations of a full tile. The numerical model was validated with experimental squeezing test of technological specimen with a tile lug. Then, we have compared experimental force with the numerical one and deduced that the clay/tool interface is not perfectly sliding. A friction Tresca's law was used to model the clay/tool interface. Numerical results showed that the actual geometry of tile lug didn't allow to form correctly the tile. Several areas undergo tensile stress, air traps ,... A new geometry of tile lug was proposed in order to limit this phenomenon. Using a simplified defect criteria (Latham and Cockroft), the numerical model allowed to locate the areas where there is a risk of crack. (2012) Trans Tech Publications. AU - Vignes, Jeremie AU - Schmidt, Fabrice AU - Dusserre, Gilles AU - De Almeida, Olivier AU - Dalmasso, Jean Frederic C3 - 15th Conference of the European Scientific Association on Material Forming, ESAFORM 2012, March 14, 2012 - March 16, 2012 DA - 2012 DO - 10.4028/www.scientific.net/KEM.504-506.1403 KW - Algorithms Clay Compression testing Computer Simulation Curve fitting friction Numerical methods Numerical models Rheology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Trans Tech Publications Ltd PY - 2012 SN - 10139826 SP - 1403-1408 ST - Numerical simulations of clay tiles compression T3 - Key Engineering Materials TI - Numerical simulations of clay tiles compression UR - http://dx.doi.org/10.4028/www.scientific.net/KEM.504-506.1403 VL - 504-506 ID - 598 ER - TY - JOUR AB - Positive interactions among plants, such as the nurse effect, can attenuate environmental stress (e.g., drought) or reduce the intensity of perturbations (e.g., herbivory), thus enhancing the possibility of regeneration in natural systems. This study analyses the potential use of nurse plants for restoring artificial environments, such as mine hard-rock dumps. We evaluated seedling recruitment and survival in open areas and beneath the canopy of nurse shrubs, with and without grazing exclusion, on an abandoned copper tailings storage facility in north-central Chile. The nurse species was Baccharis linearis (Asteraceae), and seedling species were B. linearis, Haplopappus parvifolius (Asteraceae), Schismus arabicus (Poaceae), and several forb/grass taxa. A field survey showed that seedlings of all species were more abundant beneath the Baccharis shrub canopy coverage than in the open spaces between shrubs. Only Baccharis seedlings produced a significant difference. We found a decreasing sequence of seedling survival under the following conditions: beneath the Baccharis canopy with herbivore exclusion, beneath the canopy without exclusion, in the open field with exclusion, and finally, in the open field without exclusion. Substrates beneath shrubs had higher P and K levels at depths < 10 cm than substrates in open areas. Water content, substrate compaction, and plant diversity did not differ between microenvironments. Our results demonstrate the importance of both the nurse effect and herbivore exclusion in enhancing seedling establishment on abandoned mine tailings storage facilities in semi-arid north-central Chile. Thus shedding light upon the ecological restoration possibilities in such disturbed environments. AU - Cuevas, Jaime G. AU - Silva, Sergio I. AU - Leon-Lobos, Pedro AU - Ginocchio, Rosanna DA - 2013/03// IS - 1 PY - 2013 SN - 0716-078X SP - 63-74 ST - Nurse effect and herbivory exclusion facilitate plant colonization in abandoned mine tailings storage facilities in north-central Chile T2 - Revista Chilena De Historia Natural TI - Nurse effect and herbivory exclusion facilitate plant colonization in abandoned mine tailings storage facilities in north-central Chile VL - 86 ID - 2199 ER - TY - JOUR AB - A strong and effective primary care capacity has been demonstrated to be crucial for controlling costs, improving outcomes, and ultimately enhancing the performance and sustainability of healthcare systems. However, current challenges are such that the future of primary care is unlikely to be an extension of the current dominant model. Profound environmental challenges are accumulating and are likely to drive significant transformation in the field. In this article we build upon the concept of "disruptive innovations" to analyze data from two separate research projects conducted in Quebec (Canada). Results from both projects suggest that introducing nurse practitioners into primary care teams has the potential to disrupt the status quo. We propose three scenarios for the future of primary care and for nurse practitioners' potential contribution to reforming primary care delivery models. In conclusion, we suggest that, like the canary in the coal mine, nurse practitioners' place in primary care will be an indicator of the extent to which healthcare system reforms have actually occurred. (C) 2016 The Authors. Published by Elsevier Ireland Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). AU - Contandriopoulos, Damien AU - Brousselle, Astrid AU - Breton, Mylaine AU - Sangster-Gormley, Esther AU - Kilpatrick, Kelley AU - Dubois, Carl-Ardy AU - Brault, Isabelle AU - Perroux, Melanie DA - 2016/06// DO - 10.1016/j.healthpol.2016.03.015 IS - 6 L1 - internal-pdf://2880811462/Contandriopoulo-2016-Nurse practitioners, cana.pdf PY - 2016 SN - 0168-8510 SP - 682-689 ST - Nurse practitioners, canaries in the mine of primary care reform T2 - Health Policy TI - Nurse practitioners, canaries in the mine of primary care reform UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S016885101630077X/1-s2.0-S016885101630077X-main.pdf?_tid=3366095c-8331-11e6-b456-00000aab0f6b&acdnat=1474815982_fcebc21735f3d67bc8336f8d131760b2 VL - 120 ID - 2148 ER - TY - JOUR AB - There is rising evidence of an inverse association between chronic diseases and diets characterized by rich fruit and vegetable consumption. Dietary components may act directly or indirectly on the human genome and modulate multiple processes involved in disease risk and disease progression. However, there is currently no exhaustive resource on the health benefits associated to specific dietary interventions, or a resource covering the broad molecular content of food. Here we present the first release of NutriChem, available at http://cbs.dtu.dk/services/NutriChem-1.0 a database generated by text mining of 21 million MEDLINE abstracts for information that links plant-based foods with their small molecule components and human disease phenotypes. NutriChem contains text-mined data for 18478 pairs of 1772 plant-based foods and 7898 phytochemicals, and 6242 pairs of 1066 plant-based foods and 751 diseases. In addition, it includes predicted associations for 548 phytochemicals and 252 diseases. To the best of our knowledge this database is the only resource linking the chemical space of plant-based foods with human disease phenotypes and provides a foundation for understanding mechanistically the consequences of eating behaviors on health. AU - Jensen, Kasper AU - Panagiotou, Gianni AU - Kouskoumvekaki, Irene DA - 2015/01/28/ DO - 10.1093/nar/gku724 IS - D1 L1 - internal-pdf://1337856142/Jensen-2015-NutriChem_ a systems chemical biol.pdf PY - 2015 SN - 0305-1048 SP - D940-D945 ST - NutriChem: a systems chemical biology resource to explore the medicinal value of plant-based foods T2 - Nucleic Acids Research TI - NutriChem: a systems chemical biology resource to explore the medicinal value of plant-based foods UR - http://nar.oxfordjournals.org/content/43/D1/D940.full.pdf VL - 43 ID - 2237 ER - TY - JOUR AB - Background: The database of a major regional health insurer was employed to identify the number and frequency of covered patients with chronic kidney disease (CKD). We then examined the characteristics of their care as defined, in part, by the frequency of physician visits and specialty referral, the characteristics of laboratory testing and total costs as indices of the quality of care of the subject population. Methods: This retrospective, cross-sectional study analyzed insurance claims, laboratory results and medication prescription data. Patients with two estimated glomerular filtration rate readings below 60 ml/min/1.73 m(2) (n = 20,388) were identified and classified by CKD stage. Results: The prevalence of CKD stages 3a and above was 12 %. Vascular comorbidities were common with prevalence increasing steadily from stage 3a through stage 5. Only 55.6 % of stage 4 CKD patients had claims for nephrology visits within one year of their index date. Fifty-nine percent of patients had claims for renin-angiotensin system (RAS) blockers. Twenty-five percent of patients in stage 3a CKD filled a prescription for non-steroidal anti-inflammatory drugs. Fifty-two percent of patients who developed end-stage renal disease received their first dialysis treatment as inpatients. Conclusions: The pattern of medical practice observed highlights apparent deficiencies in the care of CKD patients including inappropriate medication use, delayed nephrology referral, and a lack of preparation for dialysis. This study shows the potential value of using large patient databases available through insurers to assess and likely improve regional CKD care. AU - Arora, Pradeep AU - Elkin, Peter L. AU - Eberle, Joseph AU - Bono, J. James AU - Argauer, Laura AU - Murray, Brian M. AU - Ram, Raghu AU - Venuto, Rocco C. DA - 2015/12/03/ DO - 10.1186/s12882-015-0194-2 L1 - internal-pdf://1713258270/Arora-2015-An observational study of the quali.pdf PY - 2015 SN - 1471-2369 SP - 199 ST - An observational study of the quality of care for chronic kidney disease: a Buffalo and Albany, New York metropolitan area study T2 - Bmc Nephrology TI - An observational study of the quality of care for chronic kidney disease: a Buffalo and Albany, New York metropolitan area study UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4669622/pdf/12882_2015_Article_194.pdf VL - 16 ID - 2003 ER - TY - JOUR AB - ObjectiveDespite the proliferation of databases with increasingly rich patient data, prediction of medication adherence remains poor. We proposed and evaluated approaches for improved adherence prediction. Data SourcesWe identified Medicare beneficiaries who received prescription drug coverage through CVS Caremark and initiated a statin. Study DesignA total of 643 variables were identified at baseline from prior claims and linked Census data. In addition, we identified three postbaseline predictors, indicators of adherence to statins during each of the first 3months of follow-up. We estimated 10 models predicting subsequent adherence, using logistic regression and boosted logistic regression, a nonparametric data-mining technique. Models were also estimated within strata defined by the index days supply. ResultsIn 77,703 statin initiators, prediction using baseline variables only was poor with maximum cross-validated C-statistics of 0.606 and 0.577 among patients with index supply 30days and >30days, respectively. Using only indicators of initial statin adherence improved prediction accuracy substantially among patients with shorter initial dispensings (C=0.827/0.518), and, when combined with investigator-specified variables, prediction accuracy was further improved (C=0.842/0.596). ConclusionsObserved adherence immediately after initiation predicted future adherence for patients whose initial dispensings were relatively short. AU - Franklin, Jessica M. AU - Shrank, William H. AU - Lii, Joyce AU - Krumme, Alexis K. AU - Matlin, Olga S. AU - Brennan, Troyen A. AU - Choudhry, Niteesh K. DA - 2016/02// DO - 10.1111/1475-6773.12310 IS - 1 L1 - internal-pdf://1968922326/Franklin-2016-Observing versus Predicting_ Ini.pdf PY - 2016 SN - 0017-9124 SP - 220-239 ST - Observing versus Predicting: Initial Patterns of Filling Predict Long-Term Adherence More Accurately Than High-Dimensional Modeling Techniques T2 - Health Services Research TI - Observing versus Predicting: Initial Patterns of Filling Predict Long-Term Adherence More Accurately Than High-Dimensional Modeling Techniques UR - http://onlinelibrary.wiley.com/store/10.1111/1475-6773.12310/asset/hesr12310.pdf?v=1&t=itisc5gc&s=cf29a8a6dddfef46fd2c57e3ce8a2a0472c964b4 VL - 51 ID - 2158 ER - TY - JOUR AB - OBJECTIVES: We examined which occupations and industries are currently at high risk for bladder cancer in men. METHODS: We combined data from 11 case-control studies conducted between 1976-1996 in six European countries. The study comprised 3346 incident cases and 6840 controls, aged 30-79 years. Lifetime occupational and smoking histories were examined using common coding. RESULTS: Odds ratios for eight a priori defined high-risk occupations were low, and with the exception of metal workers and machinists (OR = 1.16, 95% CI = 1.02-1.32), were not statistically significant. Higher risks were observed for specific categories of painters, metal, textile and electrical workers, for miners, transport operators, excavating-machine operators, and also for non-industrial workers such as concierges and janitors. Industries entailing a high risk included salt mining, manufacture of carpets, paints, plastics and industrial chemicals. An increased risk was found for exposure to PAHs (OR for highest exposure tertile = 1.23, 95% CI = 1.07-1.4). The risk attributable to occupation ranged from 4.2 to 7.4%, with an estimated 4.3% for exposure to PAHs. CONCLUSIONS: Metal workers, machinists, transport equipment operators and miners are among the major occupations contributing to occupational bladder cancer in men in Western Europe. In this population one in 10 to one in 20 cancers of the bladder can be attributed to occupation. AU - Kogevinas, Manolis AU - t Mannetje, Andrea AU - Cordier, Sylvaine AU - Ranft, Ulrich AU - Gonzalez, Carlos A. AU - Vineis, Paolo AU - Chang-Claude, Jenny AU - Lynge, Elsebeth AU - Wahrendorf, Jurgen AU - Tzonou, Anastasia AU - Jockel, Karl-Heinz AU - Serra, Consol AU - Porru, Stefano AU - Hours, Martine AU - Greiser, Eberhard AU - Boffetta, Paolo DA - 2003/12//undefined IS - 10 J2 - Cancer Causes Control KW - Adult Aged Carcinogens/*adverse effects Case-Control Studies Europe/epidemiology Humans Incidence Male Middle Aged Occupational Diseases/*epidemiology/etiology Occupational Exposure/*adverse effects Occupations Odds Ratio Population Surveillance/methods Risk Assessment Risk Factors Socioeconomic Factors Urinary Bladder Neoplasms/*epidemiology/*etiology LA - eng PY - 2003 SN - 0957-5243 0957-5243 SP - 907-914 ST - Occupation and bladder cancer among men in Western Europe T2 - Cancer causes & control : CCC TI - Occupation and bladder cancer among men in Western Europe VL - 14 ID - 302 ER - TY - JOUR AB - Background: Although suicide rates among Japanese men of working-age have steadily increased over the past two decades, the distribution by occupation and industry is not uniform. Little is known regarding occupation and industry differences in relation to suicide risk. This study examined differences in suicide risk among Japanese men of working age (25-59 years) during 2010. Methods: We analysed the Japanese government's 2010 national survey data regarding occupation and industry-specific death rates. Poisson regression models were formulated for each occupation and industry to estimate the relative risk of death by suicide. Potential interactions between age and occupation/industry were also examined. Results: Suicide incidence was highest among workers in the fields of agriculture and mining. When compared with referent groups (sales for occupation and wholesale and retail for industry), the age-adjusted relative risk of suicide was highest for administrative and managerial workers (Incident Relative Risk [IRR]: 3.91, 95% Confidence Interval [95%CI]: 3.16-4.85), service industries (IRR: 3.63, 95%C1: 2.93-4.51) and agriculture (IRR: 3.53, 95%C1: 2.84-4.38) occupations, and for mining (IRR: 23.9, 95%C1: 19.429.4), fisheries (IRR: 6.26, 95%C1: 5.03-7.80), electricity and gas (IRR: 5.86, 95%C1: 4.71-7.30) and agricultural industries (IRR: 4.73, 95%C1: 3.78-5.91). Limitations: Bias resulting from misclassification of deceased individuals' occupation or industry was a potential limitation of this study. Furthermore, detailed information regarding occupation-related factors, such as employment status, had not been recorded in the initial survey. Conclusions: These findings help elucidate Japanese occupations and industries with a higher suicide risk, most likely due to economic changes or workplace factors relating to stress and depression. (C) 2015 Elsevier BY. All rights reserved. AU - Wada, Koji AU - Eguchi, Hisashi AU - Prieto-Merino, David AU - Smith, Derek R. DA - 2016/01/15/ DO - 10.1016/j.jad.2015.10.032 PY - 2016 SN - 0165-0327 SP - 316-321 ST - Occupational differences in suicide mortality among Japanese men of working age T2 - Journal of Affective Disorders TI - Occupational differences in suicide mortality among Japanese men of working age VL - 190 ID - 2257 ER - TY - JOUR AB - Crystalline silica is a widely used industrial material that is readily available worldwide, and is one of the most common types of particulate mineral pollutants. It has been classified as a group 1 human carcinogen of the respiratory system; however, whether it is linked to gastric cancer remains uncertain. We conducted a systemic review and meta-analyses to search for evidence of the relationship between gastric cancer and occupational exposure to crystalline silica. We searched for articles on occupations involving silica exposure and gastric cancer studies up to December 2014. Pooled-risk estimates of the association between occupational crystalline silica exposure and risk of gastric cancer were calculated by a random effects model. Metaregression analyses of industry type and histological confirmation status, study design and industrial subgroup analyses were performed. 29 articles, including 9 case-control and 20 cohort studies, were analysed. The overall summary effects size was 1.25 (95% CI 1.18 to 1.34) for the association of occupational silica exposure with gastric cancer. Both heterogeneity and publication bias were partially attenuated after subgroup analyses. Heterogeneity of studies was attenuated after metaregression by industry. Higher overall effects were observed in the mining and foundry industries. We found a significant relationship between occupational crystalline silica exposure and gastric cancer. Our results were strengthened by various subgroup analyses and, considering the biological plausibility of our premise, further studies are required to better understand this association. AU - Lee, Wanhyung AU - Ahn, Yeon-Soon AU - Lee, Seunghyun AU - Song, Bo Mi AU - Hong, Seri AU - Yoon, Jin-Ha DA - 2016/09/12/ DO - 10.1136/oemed-2016-103552 J2 - Occup Environ Med KW - crystalline silica gastric cancer LA - Eng PY - 2016 SN - 1470-7926 1351-0711 ST - Occupational exposure to crystalline silica and gastric cancer: a systematic review and meta-analysis T2 - Occupational and environmental medicine TI - Occupational exposure to crystalline silica and gastric cancer: a systematic review and meta-analysis UR - http://oem.bmj.com/content/early/2016/09/12/oemed-2016-103552 ID - 15 ER - TY - JOUR AB - OBJECTIVES: This review considers the state of occupational injury surveillance and prevention among migrant workers in China and suggests areas of focus for future research on the topic. METHODS: Bibliographic databases were searched for qualitative and quantitative studies on surveillance of and interventions to prevent occupational injury among migrant workers in mainland China. Additional abstracts were identified from the citations of relevant articles from the database search. Studies fitting the inclusion criteria were evaluated, and findings were extracted and summarised. RESULTS: The search uncovered 726 studies in the English-language databases searched, and 3109 in the Chinese database. This article analyses a total of 19 research articles that fit the inclusion criteria with qualitative or quantitative data on occupational injury surveillance and prevention of migrant workers in China. Despite evidence of the vulnerability of migrant workers in the workplace, there is little systematic surveillance of occupational injury and few evaluated interventions. CONCLUSIONS: Migrant workers account for a disproportionate burden of occupational injury morbidity and mortality in China. However, data are inconsistent and inadequate to detail injury incidence or to evaluate interventions. The following are suggestions to decrease injury incidence among migrants: strengthen the national system of occupational injury surveillance; focus surveillance and interventions on high-risk occupations employing migrants such as construction, manufacturing and small mining operations; improve occupational safety training and access to appropriate safety equipment; evaluate recent changes in occupational health and safety and evaluate outcome of multi-party interventions to reduce occupational injury among migrant workers. AU - Fitzgerald, Simon AU - Chen, Xin AU - Qu, Hui AU - Sheff, Mira Grice DA - 2013/10//undefined DO - 10.1136/injuryprev-2012-040578 IS - 5 J2 - Inj Prev KW - *Emigrants and Immigrants/statistics & numerical data *Public Health Surveillance China/epidemiology Humans Occupational Health/standards Occupational Injuries/epidemiology/*prevention & control Preventive Health Services/*standards LA - eng PY - 2013 SN - 1475-5785 1353-8047 SP - 348-354 ST - Occupational injury among migrant workers in China: a systematic review T2 - Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention TI - Occupational injury among migrant workers in China: a systematic review UR - http://injuryprevention.bmj.com/content/19/5/348.long VL - 19 ID - 214 ER - TY - JOUR AB - BACKGROUND: The aim of this study was to compute attributable fractions (AF) to occupational factors in an area in North-Eastern France with high lung cancer rates and a past of mining and steel industry. METHODS: A population-based case-control study among males aged 40-79 was conducted, including confirmed primary lung cancer cases from all hospitals of the study region. Controls were stratified by broad age-classes, district and socioeconomic classes. Detailed occupational and personal risk factors were obtained in face-to-face interviews. Cumulative occupational exposure indices were obtained from the questionnaires. Attributable fractions were computed from multiple unconditional logistic regression models. RESULTS: A total of 246 cases and 531 controls were included. The odds ratios (ORs) adjusted on cumulative smoking and family history of lung cancer increased significantly with the cumulative exposure indices to asbestos, polycyclic aromatic hydrocarbons and crystalline silica, and with exposure to diesel motor exhaust. The AF for occupational factors exceeded 50%, the most important contributor being crystalline silica and asbestos. CONCLUSION: These AFs are higher than most published figures. This can be because of the highly industrialised area or methods for exposure assessments. Occupational factors are important risk factors and should not be forgotten when defining high-risk lung cancer populations. AU - Wild, P. AU - Gonzalez, M. AU - Bourgkard, E. AU - Courouble, N. AU - Clement-Duchene, C. AU - Martinet, Y. AU - Fevotte, J. AU - Paris, C. DA - 2012/03/27/ DO - 10.1038/bjc.2012.75 IS - 7 PY - 2012 SN - 0007-0920 SP - 1346-1352 ST - Occupational risk factors have to be considered in the definition of high-risk lung cancer populations T2 - British Journal of Cancer TI - Occupational risk factors have to be considered in the definition of high-risk lung cancer populations VL - 106 ID - 2291 ER - TY - CHAP AB - Background Background There is uncertainty as to whether and what extent occupational safety and health regulation and legislation enforcement activities, such as inspections, are effective and efficient to improve workers' health and safety. We use the term regulation to refer both to regulation and legislation. Objectives Objectives To assess the effects of occupational safety and health regulation enforcement tools for preventing occupational diseases and injuries. Search methods Search methods We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE (PubMed), EMBASE (embase.com), CINAHL (EBSCO), PsycINFO (Ovid), OSH update, HeinOnline, Westlaw International, EconLit and Scopus from the inception of each database until January 2013. We also checked reference lists of included articles and contacted study authors to identify additional published, unpublished and ongoing studies. Selection criteria Selection criteria We included randomised controlled trials (RCTs), controlled before-after studies (CBAs), interrupted time series (ITS) and econometric panel studies of firms or workplaces evaluating inspections, warnings or orders, citations or fines, prosecution or firm closure by governmental representatives and if the outcomes were injuries, diseases or exposures. In addition, we included qualitative studies of workers' or employers' attitudes or beliefs towards enforcement tools. Data collection and analysis Data collection and analysis Pairs of authors independently extracted data on the main characteristics, the risk of bias and the effects of the interventions. We expressed intervention effects as risk ratios (RR) or mean differences (MD). We recalculated other effect measures into RRs or MDs. We combined the results of similar studies in a meta-analysis. Main results Main results We located 23 studies: two RCTs with 1414 workplaces, two CBAs with 9903 workplaces, one ITS with six outcome measurements, 12 panel studies and six qualitative studies with 310 participants. Studies evaluated the effects of inspections in general and the effects of their consequences, such as penalties. Studies on the effects of prosecution, warnings or closure were not available or were of such quality that we could not include their results. The effect was measured on injury rates, on exposure to physical workload and on compliance with regulation, with a follow-up varying from one to four years. All studies had serious limitations and therefore the quality of the evidence was low to very low. The injury rates in the control groups varied across studies from 1 to 23 injuries per 100 person-years and compliance rates varied from 40% to 75% being compliant. The effects of inspections were inconsistent in seven studies: injury rates decreased or stayed at a similar level compared to no intervention at short and medium-term follow-up. In studies that found a decrease the effect was small with a 10% decrease of the injury rate. At long-term follow-up, in one study there was a significant decrease of 23% (95% confidence interval 8% to 23%) in injury rates and in another study a substantial decrease in accident rates, both compared to no intervention. First inspections, follow-up inspections, complaint and accident inspections resulted in higher compliance rates compared to the average effect of any other type of inspections. In small firms, inspections with citations or with more penalties could result in fewer injuries or more compliance in the short term but not in the medium term. Longer inspections and more frequent inspections probably do not result in more compliance. In two studies, there was no adverse effect of inspections on firm survival, employment or sales. Qualitative studies show that there is support for enforcement among workers. However, workers doubt if the inspections are effective because inspections are rare and violations can be temporarily fixed to mislead inspectors. Authors' conclusions Authors' conclusions There is evidence that inspections decrease injuries in the long term but not in the short term. The magnitude of the effect is uncertain. There are no studies that used chemical or physical exposures as outcome. Specific, focused inspections could have larger effects than inspections in general. The effect of fines and penalties is uncertain. The quality of the evidence is low to very low and therefore these conclusions are tentative and can be easily changed by better future studies. There is an urgent need for better designed evaluations, such as pragmatic randomised trials, to establish the effects of existing and novel enforcement methods, especially on exposure and disorders. AU - Mischke, Christina AU - Verbeek, Jos H. AU - Job, Jenny AU - Morata, Thais C. AU - Alvesalo-Kuusi, Anne AU - Neuvonen, Kaisa AU - Clarke, Simon AU - Pedlow, Robert I. DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD010183.pub2/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2013 ST - Occupational safety and health enforcement tools for preventing occupational diseases and injuries T2 - Cochrane Database of Systematic Reviews TI - Occupational safety and health enforcement tools for preventing occupational diseases and injuries UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD010183.pub2/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD010183.pub2/full Y2 - 2016/09/18/20:15:38 ID - 424 ER - TY - JOUR AB - The yellow tea thrips, Scirtothrips dorsalis Hood (Thysanoptera: Thripidae), has recently become one of the key pests causing economic damage to the fruit production of mango (Mangifera indica L). In this study, we investigated the seasonal fluctuation of S. dorsalis populations using data mining techniques in which logistic regression (LR), decision tree (DT), and artificial neural networks (ANNs) were performed for cross analysis and the optimality of these three approaches. Subsequently, crucial factors that affect the population dynamics of S. dorsalis can be determined. Our results showed correctly classified instances of DT >= 83% by 10-fold cross-validation, which exhibited the highest degree of accuracy among the three methods followed by ANNs and LR. We anticipate that using an intelligent prediction model can increase prediction reliability to understand the occurrence and population dynamics of S. dorsalis under different environmental conditions. Therefore, our model could be useful for farmers to implement control measures against S. dorsalis and to manage its damages to plants. Furthermore, the model proposed can be used as a basis for assessing pesticide applications and for reducing excessive pesticide costs. (C) 2015 Published by Elsevier B.V. on behalf of Korean Society of Applied Entomology, Taiwan Entomological Society and Malaysian Plant Protection Society. AU - Lin, Chun-Nan AU - Wei, Miao-Ying AU - Chang, Niann-Tai AU - Chuang, Yi-Yuan DA - 2015/09// DO - 10.1016/j.aspen.2015.04.004 IS - 3 L1 - internal-pdf://0374138644/Lin-2015-The occurrence of Scirtothrips dorsal.pdf PY - 2015 SN - 1226-8615 SP - 361-367 ST - The occurrence of Scirtothrips dorsalis Hood in mango orchards and factors influencing its population dynamics in Taiwan T2 - Journal of Asia-Pacific Entomology TI - The occurrence of Scirtothrips dorsalis Hood in mango orchards and factors influencing its population dynamics in Taiwan UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1226861515000424/1-s2.0-S1226861515000424-main.pdf?_tid=bfd02c0a-8341-11e6-a19c-00000aacb35d&acdnat=1474823089_9e0e66480dc08a8c8dccd2f2ce0d4198 VL - 18 ID - 1892 ER - TY - CONF AB - With the tremendous growth of social networks, there has been a growth in the amount of new data created every minute on these networking sites. Twitter acts as a great source of rich information for millions of users. Twitter messages, or tweets, are limited to 140 data characters. This limitation in length makes difficult their analysis. However, various accessible meta-data are associated with every message. Taking into account these meta-data, they can be very useful for analysis and making decisions. Applying OLAP (On-Line Analytical Processing) and data mining technologies on large volumes of tweets is a challenge that would allow the extraction of information and knowledge such as user behavior, new emerging issues, trends... This paper proposes a generic multidimensional model dedicated to the OLAP of tweets with some results and analyses for testing this multi-dimensional model on various data extracted from tweets. 2014 IEEE. AU - Ben Kraiem, Maha AU - Feki, Jamel AU - Khrouf, Kais AU - Ravat, Franck AU - Teste, Olivier C3 - 8th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2014, May 28, 2014 - May 30, 2014 DA - 2014 DO - 10.1109/RCIS.2014.6861029 KW - Behavioral research data mining INFORMATION science Metadata Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2014 SN - 21511349 SP - EMSI;-IEEE Morocco Section; Laboratoire de Mathematiques Informatique et Applications (LAMIA) ST - OLAP of the tweets: From modeling toward exploitation T3 - Proceedings - International Conference on Research Challenges in Information Science TI - OLAP of the tweets: From modeling toward exploitation UR - http://dx.doi.org/10.1109/RCIS.2014.6861029 ID - 1406 ER - TY - JOUR AB - Teenage driving and associated accidents have been thoroughly studied. With the graying of our population in the United States, a focus on senior drivers and related accidents is needed. Unfortunately, there is not one comprehensive study that reviews the major existing studies conducted on senior drivers and accidents. In examining the literature, it also appears that data mining has rarely been applied in studying relationships between senior driver characteristics and accidents. This paper addresses these two needs by providing a meta-analysis of the existing literature on senior drivers and showing how data mining techniques could be used in this application. 2005 Elsevier Ltd. All rights reserved. AU - Bayam, Evrim AU - Liebowitz, Jay AU - Agresti, William DA - 2005 DO - 10.1016/j.eswa.2005.04.025 IS - 3 J2 - Expert Systems with Applications KW - accidents Automobile drivers Database systems data mining Data processing Expert systems L1 - internal-pdf://1335354340/Bayam-2005-Older drivers and accidents_ A meta.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2005 SN - 09574174 SP - 598-629 ST - Older drivers and accidents: A meta analysis and data mining application on traffic accident data T2 - Expert Systems with Applications TI - Older drivers and accidents: A meta analysis and data mining application on traffic accident data UR - http://dx.doi.org/10.1016/j.eswa.2005.04.025 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0957417405000771/1-s2.0-S0957417405000771-main.pdf?_tid=765ed56c-832d-11e6-956f-00000aab0f6c&acdnat=1474814376_04effa3f13f62bc4ab53504821a11d32 VL - 29 ID - 1785 ER - TY - JOUR AB - BACKGROUND: The Omaha System (OS) is one of the oldest of the American Nurses Association recognized standardized terminologies describing and measuring the impact of healthcare services. This systematic review presents the state of science on the use of the OS in practice, research, and education. AIMS: (1) To identify, describe and evaluate the publications on the OS between 2004 and 2011, (2) to identify major trends in the use of the OS in research, practice, and education, and (3) to suggest areas for future research. METHODS: Systematic search in the largest online healthcare databases (PUBMED, CINAHL, Scopus, PsycINFO, Ovid) from 2004 to 2011. Methodological quality of the reviewed research studies was evaluated. RESULTS: 56 publications on the OS were identified and analyzed. The methodological quality of the reviewed research studies was relatively high. Over time, publications' focus shifted from describing clients' problems toward outcomes research. There was an increasing application of advanced statistical methods and a significant portion of authors focused on classification and interoperability research. There was an increasing body of international literature on the OS. Little research focused on the theoretical aspects of the OS, the effective use of the OS in education, or cultural adaptations of the OS outside the USA. CONCLUSIONS: The OS has a high potential to provide meaningful and high quality information about complex healthcare services. Further research on the OS should focus on its applicability in healthcare education, theoretical underpinnings and international validity. Researchers analyzing the OS data should address how they attempted to mitigate the effects of missing data in analyzing their results and clearly present the limitations of their studies. AU - Topaz, Maxim AU - Golfenshtein, Nadya AU - Bowles, Kathryn H. DA - 2014/02//Jan- undefined DO - 10.1136/amiajnl-2012-001491 IS - 1 J2 - J Am Med Inform Assoc KW - *Bibliometrics *Nursing Research *Outcome Assessment (Health Care) *Vocabulary, Controlled Clinical Coding Databases, Bibliographic data mining electronic health records Humans Nursing Classification Nursing Informatics Omaha System Terminology as Topic LA - eng PY - 2014 SN - 1527-974X 1067-5027 SP - 163-170 ST - The Omaha System: a systematic review of the recent literature T2 - Journal of the American Medical Informatics Association : JAMIA TI - The Omaha System: a systematic review of the recent literature VL - 21 ID - 192 ER - TY - CONF AB - Business Intelligence (BI) allows a corporation's executives to acquire a better understanding of their customers, the market, supply and resources, and competitors in order to make effective strategic decisions. BI technologies provide historical, current and predictive views of business operations such as reporting, online analytical processing, business performance management, competitive intelligence, benchmarking, and predictive analytics. Web Services technologies responded quickly to help such evolution and in many situations the Web Services application is driving businesses and dictating a new way of doing business. Web information usually contains multimedia data with unstructured fashions. Through the effective analysis of company's Web information, we could make effective market analysis, compare customer feedback on similar products, discover the strengths and weaknesses of their competitors, retain highly valuable customers, and make smart business decisions. In this paper, we discuss two case studies on data integration and data mining. The first case is for the traditional data analytics using relational database techniques such as Oracle database and Cognos BI tool for integrating and mining a company's web site. The second case is for multimedia data analytics using Monago database and Pentaho BI tool for integrating and mining multimedia data presented in a company's web site. We compare both cases in aspects of Data Integration, Metadata, Query Performance and Data Analytics. Finally, we present experimental results for using the above data mining techniques and tools to better understand features of each customer group and develop customized customer reward programs. AU - Ping-Tsai, Chung AU - Chung, S. H. C3 - 2013 IEEE Long Island Systems, Applications and Technology Conference (LISAT), 3 May 2013 DA - 2013 DO - 10.1109/LISAT.2013.6578235 KW - Competitive intelligence data analysis data integration data mining meta data multimedia systems query processing relational databases Web services Web sites PB - IEEE PY - 2013 SP - 6-pp. ST - On data integration and data mining for developing business intelligence T3 - 2013 IEEE Long Island Systems, Applications and Technology Conference (LISAT) TI - On data integration and data mining for developing business intelligence UR - http://dx.doi.org/10.1109/LISAT.2013.6578235 ID - 1706 ER - TY - JOUR AB - Most Web Search Engines (WSEs) are appropriate for focalized search, i.e., they make the assumption that users can accurately describe their information need using a small sequence of terms. However, as several user studies have shown, a high percentage of search tasks are exploratory, and focalized search very commonly leads to inadequate interactions and poor results. This paper proposes exploiting static and dynamically mined metadata for enriching web searching with exploration services. Online results clustering, which is a mining task of dynamic nature since it is based on query-dependent snippets, is useful for providing users with overviews of the top results and thus allowing them to restrict their focus to the desired parts. On the other hand, the various static metadata that are available to a search engine (e.g., domain, language, date, and filetype) are commonly exploited only through the advanced (form-based) search facilities that some WSEs offer (and users rarely use). We propose an approach that combines both kinds of metadata by adopting the interaction paradigm of dynamic taxonomies and faceted exploration, which allows the users to restrict their focus gradually using both static and dynamically derived metadata. Special focus is given on the design and analysis of incremental algorithms for speeding up the exploration process. The experimental evaluation over a real WSE shows that this combination results to an effective, flexible, and efficient exploration experience. Finally, we report the results of a user study indicating that this direction is promising in terms of user preference, satisfaction, and effort. AU - Papadakos, P. AU - Armenatzoglou, N. AU - Kopidaki, S. AU - Tzitzikas, Y. DA - 2012/03// DO - 10.1007/s10115-011-0388-2 IS - 3 J2 - Knowledge and Information Systems KW - data mining Internet meta data query processing Search Engines PY - 2012 SN - 0219-1377 SP - 493-525 ST - On exploiting static and dynamically mined metadata for exploratory web searching T2 - Knowledge and Information Systems TI - On exploiting static and dynamically mined metadata for exploratory web searching UR - http://dx.doi.org/10.1007/s10115-011-0388-2 VL - 30 ID - 1514 ER - TY - JOUR AB - Recent discussions in the editorial committee of the SMO Journal, following a forum article (Sigmund, Struct Multidisc Optim 43(5):589-596, 2011) on nongradient methods in topology optimization, have shown that an analysis of global optimization contributions to SMO might be useful. Springer-Verlag 2012. AU - Le Riche, Rodolphe AU - Haftka, Raphael T. DA - 2012 DO - 10.1007/s00158-012-0785-5 IS - 5 J2 - Structural and Multidisciplinary Optimization KW - Global optimization software engineering Structural optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 1615147X SP - 627-629 ST - On global optimization articles in SMO T2 - Structural and Multidisciplinary Optimization TI - On global optimization articles in SMO UR - http://dx.doi.org/10.1007/s00158-012-0785-5 http://link.springer.com/article/10.1007%2Fs00158-012-0785-5 VL - 46 ID - 677 ER - TY - JOUR AB - The paper faces the problems of constructing granular measurement structures for Ambient Intelligence (AmI) systems. Primarily, the AmI concept is discussed and its multidisciplinary aspects are revealed. Some key technologies of AmI are presented, a new interpretation of AmI system as the artificial cognitive-regulative meta-agent is introduced, an appropriate agent architecture is built. New trends in measurement theory are considered: Distributed, Intelligent, Soft, Cognitive Measurement. The notion of Granular Measurement is proposed and the related two-level structure of intelligent measuring instrument is conceived, where knowledge is obtained from quantitative data analysis. We deal with the problem of transition from row sensor data to useful information and knowledge by applying Zadeh's granulation theory. Here , according to Pierce's ideas, the selection of mathematical structures for sensor data mining is associated with the interpretation of multi-valued logics as formal pragmatics tools. The concepts of Vassil'ev's and Belnap's sensors are introduced, some sensor networks based on such sensors are analysed. Logical-algebraic models of dialogue between sensors are suggested on the basis of product logics and bilattices. As a result, a map for overcoming partial contradictions in simple sensor networks is constructed. AU - Tarasov, V. B. DA - 2013 IS - 5 J2 - Information Measuring and Control Systems KW - ambient intelligence cognition Computational linguistics computerised instrumentation data analysis data mining Granular computing intelligent sensors measurement systems multi-agent systems multivalued logic Wireless sensor networks PY - 2013 SN - 2070-0814 SP - 65-74 ST - On granular structures of measurement in ambient intelligence systems: Vassil'ev's and Belnap's sensors and their communication models T2 - Information Measuring and Control Systems TI - On granular structures of measurement in ambient intelligence systems: Vassil'ev's and Belnap's sensors and their communication models VL - 11 ID - 1672 ER - TY - CONF AB - Graph clustering becomes an important problem due to emerging applications involving the web, social networks and bio-informatics. Recently, many such applications generate data in the form of streams. Clustering massive, dynamic graph streams is significantly challenging because of the complex structures of graphs and computational difficulties of continuous data. Meanwhile, a large volume of side information is associated with graphs, which can be of various types. The examples include the properties of users in social network activities, the meta attributes associated with web click graph streams and the location information in mobile communication networks. Such attributes contain extremely useful information and have the potential to improve the clustering process, but are neglected by most recent graph stream mining techniques. In this paper, we define a unified distance measure on both link structures and side attributes for clustering. In addition, we propose a novel optimization framework DMO, which can dynamically optimize the distance metric and make it adapt to the newly received stream data. We further introduce a carefully designed statistics SGS(C) which consume constant storage spaces with the progression of streams. We demonstrate that the statistics maintained are sufficient for the clustering process as well as the distance optimization and can be scalable to massive graphs with side attributes. We will present experiment results to show the advantages of the approach in graph stream clustering with both links and side information over the baselines. AU - Zhao, Yuchen AU - Yu, Philip S. C3 - 13th SIAM International Conference on Data Mining, SMD 2013, May 2, 2013 - May 4, 2013 DA - 2013 KW - Cluster Analysis Clustering algorithms Complex networks data mining Digital storage Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Society for Industrial and Applied Mathematics Publications PY - 2013 SP - 139-150 ST - On graph stream clustering with side information T3 - SIAM International Conference on Data Mining 2013, SMD 2013 TI - On graph stream clustering with side information ID - 899 ER - TY - CONF AB - In this article a synoptic review of machine learning techniques with imbalanced data and a class of corresponding learning algorithms is presented. This class of algorithms includes the meta-algorithms: Cost sensitive, Metacost, Rotation forest-cost sensitive, rotation forest-smote. Four learning algorithms (with base classifiers J48 and part processing with F-measure and a predetermined imbalanced data set) are compared in the computational environment WEKA leading to comparative numerical results. The basic concepts of research quality evaluation methodologies are presented, an adaptive citation qualitative-quantitative approach and advanced bibliometric indicators are given. Basic components of research quality performance such as research journal cited publications, citing publications and research quality evaluations at various academic levels are considered and corresponding numerical results are given. An alternative approach using certain machine learning algorithms with imbalanced data in the case of research quality evaluation methodologies is proposed. 2014 IEEE. AU - Lipitakis, Anastasia-Dimitra AU - Lipitakis, Evanglia A. E. C. C3 - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014, March 10, 2014 - March 13, 2014 DA - 2014 DO - 10.1109/CSCI.2014.81 KW - artificial intelligence Competitive intelligence data mining Forestry Learning algorithms Learning systems Quality Control Research N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2014 SP - 451-457 ST - On machine learning with imbalanced data and research quality evaluation methodologies T3 - Proceedings - 2014 International Conference on Computational Science and Computational Intelligence, CSCI 2014 TI - On machine learning with imbalanced data and research quality evaluation methodologies UR - http://dx.doi.org/10.1109/CSCI.2014.81 VL - 1 ID - 903 ER - TY - CONF AB - The goal of this paper is to investigate to what extent a rule learning heuristic can be learned from experience. To that end, we let a rule learner learn a large number of rules and record their performance on the test set. Subsequently, we train regression algorithms on predicting the test set performance of a rule from its training set characteristics. We investigate several variations of this basic scenario, including the question whether it is better to predict the performance of the candidate rule itself or of the resulting final rule. Our experiments on a number of independent evaluation sets show that the learned heuristics outperform standard rule learning heuristics. We also analyze their behavior in coverage space. AU - Janssen, F. AU - Furnkranz, J. C3 - 2007 7th IEEE International Conference on Data Mining (ICDM '07), 28-31 Oct. 2007 DA - 2007 DO - 10.1109/ICDM.2007.51 KW - learning (artificial intelligence) Regression Analysis PB - IEEE PY - 2007 SP - 529-34 ST - On meta-learning rule learning heuristics T3 - 2007 7th IEEE International Conference on Data Mining (ICDM '07) TI - On meta-learning rule learning heuristics UR - http://dx.doi.org/10.1109/ICDM.2007.51 ID - 1530 ER - TY - BOOK A3 - Wang, Y. A2 - Zhang, D. A2 - Latombe, J. C. A2 - Kinsner, W. AB - We introduce the notion of generating decision rules that involve inequalities. While a conventional decision rule expresses the trivial equality relations between attributes and values from the same or different objects, inequality rules express the non-equivalent relationships between attributes and values. The problem of mining inequality rules is formulated as a process of mining equality rules from a compensatory decision table. In order to mine high-order inequality rules, one can transform the original decision table to a high-order compensatory decision table, in which each new entity is a pair of objects. Any standard data-mining algorithm can then be used. We theoretically analyze the complexity of proposed models based on their meta-level representation in cognitive informatics. Mining inequalities in decision table makes a complementary feature of a rule induction system, which may result in generating a small number of short rules for domains where attributes have large number of values, and when majority of them are correlated with the same decision class. AU - Liu, Yang AU - Bai, Guohua AU - Feng, Boqin DA - 2008 PY - 2008 SN - 978-1-4244-2538-9 ST - On Mining Rules that Involve Inequalities from Decision Table TI - On Mining Rules that Involve Inequalities from Decision Table ID - 2074 ER - TY - CONF AB - OLAP operations are widely accepted as a suitable method for decision support by data analysis. In this investigation, we discuss two operators GROUP and APPLY based on meta objects over relations. Using the two, we define three aggregate operators, ROLL-UP, STAGE-UP and DRILL-DOWN for OLAP processing. We show the last two are inverse operators. The goal of this work is to assign semantics to the operators that guarantee its inversibility. Also we discuss how they can be implemented. AU - Kashikawa, S. AU - Shioya, I. AU - Miura, T. C3 - Proceedings of the IASTED International Conference Applied Informatics. International Symposium on Software Engineering, Databases, and Applications, 18-21 Feb. 2002 DA - 2001 KW - data analysis data mining Data warehouses meta data object-oriented databases relational databases PB - Acta Press PY - 2001 SP - 333-8 ST - On OLAP operations using meta data T3 - Proceedings of the IASTED International Conference Applied Informatics International Symposium on Software Engineering, Databases, and Applications TI - On OLAP operations using meta data ID - 1763 ER - TY - JOUR AB - Automating the process of semantic annotation of digital personal photographs is a crucial step towards efficient and effective management of this increasingly high volume of content. However, this is still a highly challenging task for the research community. This paper proposes a novel solution. Our solution integrates all contextual information available to and from the users, such as their daily emails, schedules, chat archives, web browsing histories, documents, online news, Wikipedia data, and so forth. We then analyze this information and extract important semantic terms, using them as semantic keyword suggestions for their photos. Those keywords are in the form of named entities, such as names of people, organizations, locations, and date/time as well as high frequency terms. Experiments conducted with 10 subjects and a total of 313 photos proved that our proposed approach can significantly help users with the annotation process. We achieved a 33% gain in annotation time as compared to manual annotation. We also obtained very positive results in the accuracy rate of our suggested keywords. AU - Sarin, S. AU - Nagahashi, T. AU - Miyosawa, T. AU - Kameyama, W. DA - 2008 DO - 10.1155/2008/592690 J2 - Advances in Multimedia KW - Content Management data mining Image processing image retrieval Internet meta data personal computing PY - 2008 SN - 1687-5680 SP - 592690-(16 pp.) ST - On the design and exploitation of user's personal and public information for semantic personal digital photograph annotation T2 - Advances in Multimedia TI - On the design and exploitation of user's personal and public information for semantic personal digital photograph annotation UR - http://dx.doi.org/10.1155/2008/592690 ID - 976 ER - TY - JOUR AB - BACKGROUND: The volume of search engine queries about disease-relevant items reflects public interest and correlates with disease prevalence as proven by the example of flu (influenza). Other influences include media attention or holidays. STUDY GOAL: The present work investigates if the seasonality of prevalence or symptom severity of dermatoses correlates with search engine query data. METHODS: The relative weekly volume of dermatological relevant search terms was assessed by the online tool Google Trends for the years 2009-2013. For each item, the degree of seasonality was calculated via frequency analysis and a geometric approach. RESULTS: Many dermatoses show a marked seasonality, reflected by search engine query volumes. Unexpected seasonal variations of these queries suggest a previously unknown variability of the respective disease prevalence. Furthermore, using the example of allergic rhinitis, a close correlation of search engine query data with actual pollen count can be demonstrated. DISCUSSION: In many cases, search engine query data are appropriate to estimate seasonal variability in prevalence of common dermatoses. This finding may be useful for real-time analysis and formation of hypotheses concerning pathogenetic or symptom aggravating mechanisms and may thus contribute to improvement of diagnostics and prevention of skin diseases. AU - Kohler, M. J. AU - Springer, S. AU - Kaatz, M. DA - 2014/09//undefined DO - 10.1007/s00105-014-2848-6 IS - 9 J2 - Hautarzt KW - *Seasons Data Mining/*statistics & numerical data Female Humans Incidence Male Population Surveillance/*methods Search Engine/*statistics & numerical data Skin Diseases/*epidemiology Spatio-Temporal Analysis Statistics as Topic LA - ger PY - 2014 SN - 1432-1173 0017-8470 SP - 814-822 ST - [On the seasonality of dermatoses: a retrospective analysis of search engine query data depending on the season] T2 - Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete TI - [On the seasonality of dermatoses: a retrospective analysis of search engine query data depending on the season] VL - 65 ID - 97 ER - TY - CONF AB - Part-whole relation (PWR), as a fundamental element to model the real world, has long been concerned by researchers and practitioners. Theoretical work has been undertaken to develop the classifications of distinct types of part-whole relations (PWRs) and their properties in an attempt to clarify their semantics. There is no empirical evaluation, however, that supports whether it is necessary to specify distinct types of PWRs and their properties in conceptual modeling. In this light, this study first designs a specific representation of PWRs through a systematic review of the literature, and then by employing the theory of ontological clarity and the theory of cognitive fit, empirically compares its performance with that of conventional representation of PWRs. The findings are expected to enrich the growing body of knowledge that supports the usefulness of ontological and cognitive theories, and provide empirical evidence regarding how to model the PWRs for practitioners. AU - Wang, Yonggui AU - Xu, Dongming AU - Rohde, Fiona C3 - 17th Americas Conference on Information Systems 2011, AMCIS 2011, August 4, 2011 - August 8, 2011 DA - 2011 KW - data mining Information systems ontology Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - AIS/ICIS Administrative Office PY - 2011 SP - 3375 ST - On the specification of part-whole relations in conceptual modeling: An empirical study T3 - 17th Americas Conference on Information Systems 2011, AMCIS 2011 TI - On the specification of part-whole relations in conceptual modeling: An empirical study VL - 5 ID - 728 ER - TY - CONF AB - Model-to-model transformations constitute an important ingredient in model-driven engineering. As real world transformations are complex, systematic approaches are required to ensure their correctness. The ATLAS Transformation Language (ATL) is a mature transformation language which has been successfully applied in several areas. However, the executable nature of ATL is a barrier for the validation of transformations. In contrast, transformation models provide an integrated structural description of the source and target metamodels and the transformation between them. While not being executable, transformation models are wellsuited for analysis and verification of transformation properties. In this paper, we discuss (a) how ATL transformations can be translated into equivalent transformation models and (b) illustrate how these surrogates can be employed to validate properties of the original transformation. Copyright 20XX ACM. AU - Buttner, Fabian AU - Cabot, Jordi AU - Gogolla, Martin C3 - 8th International Workshop on Model-Driven Engineering, Verification and Validation, MoDeVVa 2011 - Co-located with the 14th International Conference on Model Driven Engineering Languages and Systems, MoDELS, October 17, 2011 - October 17, 2011 DA - 2011 DO - 10.1145/2095654.2095666 KW - Computer programming languages Models N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2011 ST - On validation of ATL transformation rules by transformation models T3 - ACM International Conference Proceeding Series TI - On validation of ATL transformation rules by transformation models UR - http://dx.doi.org/10.1145/2095654.2095666 http://dl.acm.org/citation.cfm?doid=2095654.2095666 ID - 567 ER - TY - JOUR AB - Traditional On-Line Analysis Processing (OLAP)development method was difficult to offer suitable solutions for enterprises' decision demands. Complexity and efficiency were the major problems concerning the development of OLAP system. To tackle these problems, a new OLAP development method based on Model Driven Architecture (MDA) in an integrated Data Warehouse (DW) modeling framework was proposed. By using UML Profile and Common Warehouse Metamodel (CWM), OLAP Platform Independent Model (PIM) Meta-model and OLAP Platform Specific Model (PSM) Meta-model were constructed, a set of transformation rules from OLAP PIM metamodel to OLAP PSM meta-model by using the Query/View/Transformation (QVT) relation language was proposed, transformation between PIM model and PSM model under the model transformation tool-MediniQVT and IBM Eclipse Modeling Framework (EMF) was implemented, OLAP Structured Query Language (SQL) code by using user-defined transformation Java class between PSM model and SQL code was generated so that model-driven OLAP development was accomplished. Finally, this method was applied in practice and proved to be feasible and effective. AU - Song, Xu-dong AU - Hu, Mo-qian AU - Liu, Xiao-bing DA - 2010/02// IS - 2 J2 - Computer Integrated Manufacturing Systems KW - data mining Data warehouses software architecture Specification languages PY - 2010 SN - 1006-5911 SP - 423-30 ST - On-line analysis processing development method based on model driven architecture T2 - Computer Integrated Manufacturing Systems TI - On-line analysis processing development method based on model driven architecture VL - 16 ID - 1295 ER - TY - CONF AB - VISION (versatile information system - integrated, on-line) represents a comprehensive, holistic, top down approach to information collection, management, and ultimate transformation into knowledge. VISION employs a Web based approach that combines a modular instrumentation suite and a digital library (VDLS) with modern communications technology. VDLS is a Web based collaborative knowledge management system that incorporates associated data marts and additional test information sources such as reports, analyses and documents. One of these data marts contains engineering performance data. A Web based online analytical processing (OLAP) toolbox has been developed to allow querying of this data mart via a Java graphical user interface (GUI). Currently, the OLAP toolbox contains functions to perform metadata searches, view a Global Positioning System (GPS) map of the location of the item under test, view time series traces of all the parameters, generate custom plots of any parameter or download raw data files. The work described in this paper adds additional functions to this toolbox that allows test engineers, data analysts or mechanical engineers to quickly find the data of interest. Tools were developed that use wavelet transforms for both data validation purposes and for data de-noising. Other tools were created that use Google Earth to plot GPS coordinates as markers where each marker contains a balloon of information (e.g., time, date, latitude, longitude, speed, direction). In addition, Google Earth was used in a spatial data mining application where the GPS coordinates of extreme values (i.e., values exceeding a given threshold) are plotted along the track. All of the algorithms developed in this paper were tested using a dataset from the 10 ton dump truck of the family of medium tactical vehicles (FMTV). Up to 35 sensors were used in these tests measuring everything from GPS position to engine speed to strain rate. The tests were conducted at the Aberdeen Test Center on a variety of courses covering everything from smooth paved surfaces to block gravel to dirt. AU - Yetzer, K. AU - Warnock, A. AU - Krishnamurthy, A. C3 - 2007 HPCMP Users Group Conference - High Performance Computing Modernization program: A Bridge to Future Defense - HPCMPUGC '07, 18-21 June 2007 DA - 2008 KW - data mining Data warehouses Global positioning system Graphical user interfaces Information Management Internet Java Knowledge management meta data query processing visual databases wavelet transforms PB - IEEE PY - 2008 SP - 259-64 ST - On-line analytical processing tools for the VISION engineering performance data mart T3 - 2007 HPCMP Users Group Conference-High Performance Computing Modernization program: A Bridge to Future Defense - HPCMPUGC '07 TI - On-line analytical processing tools for the VISION engineering performance data mart ID - 1355 ER - TY - CONF AB - Metadata is the command center in the process of data warehousing, and which is very helpful to data ETL (Extraction, Transformation and Loading), data storage management, data analysis and data mining. CWM (Common Warehouse Metamodel) is an open industry metadata standard, and which is widely used currently, public meta-models and its rules defined in CWM can properly support data transformation and cleansing. One metadata-driven development approach is proposed to support the design and development of data ETL process. One data transformation module is realized, and which is used to specify how to use metadata in ETL process. Finally, the development process and steps of using CWM to build ETL tool are given. 2010 IEEE. AU - Pei, Ying AU - Xu, Jungang AU - Wang, Qiang C3 - 2nd International Workshop on Database Technology and Applications, DBTA2010, November 27, 2010 - November 28, 2010 DA - 2010 DO - 10.1109/DBTA.2010.5658928 KW - data handling Data warehouses Metadata Warehouses N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 SP - Huazhong-University of Science and Technology; Research Association of Modern Education and Computer Science; Wuhan University; Hubei University of Technology; IEEE Harbin Section ST - One CWM-based data transformation method in ETL process T3 - 2010 2nd International Workshop on Database Technology and Applications, DBTA2010 - Proceedings TI - One CWM-based data transformation method in ETL process UR - http://dx.doi.org/10.1109/DBTA.2010.5658928 ID - 884 ER - TY - JOUR AB - The mammalian auditory system extracts features from the acoustic environment based on the responses of spatially distributed sets of neurons in the subcortical and cortical auditory structures. The characteristic responses of these neurons (linearly approximated by their spectro-temporal receptive fields, or STRFs) suggest that auditory representations are formed, as early as in the inferior colliculi, on the basis of a time, frequency, rate (temporal modulations) and scale (spectral modulations) analysis of sound. However, how these four dimensions are integrated and processed in subsequent neural networks remains unclear. In this work, we present a new methodology to generate computational insights into the functional organization of such processes. We first propose a systematic framework to explore more than a hundred different computational strategies proposed in the literature to process the output of a generic STRF model. We then evaluate these strategies on their ability to compute perceptual distances between pairs of environmental sounds. Finally, we conduct a meta-analysis of the dataset of all these algorithms' accuracies to examine whether certain combinations of dimensions and certain ways to treat such dimensions are, on the whole, more computationally effective than others. We present an application of this methodology to a dataset of ten environmental sound categories, in which the analysis reveals that (1) models are most effective when they organize STRF data into frequency groupingswhich is consistent with the known tonotopic organization of receptive fields in auditory structures -, and that (2) models that treat STRF data as time series are no more effective than models that rely only on summary statistics along timewhich corroborates recent experimental evidence on texture discrimination by summary statistics. 2015 Hemery and Aucouturier AU - Hemery, Edgar AU - Aucouturier, Jean-Julien DA - 2015 DO - 10.3389/fncom.2015.00080 IS - JULY J2 - Frontiers in Computational Neuroscience KW - Mammals Modulation Neural networks Pattern recognition Pattern recognition systems time series Time series analysis L1 - internal-pdf://0240959156/Hemery-2015-One hundred ways to process time.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 16625188 SP - 1-18 ST - One hundred ways to process time, frequency, rate and scale in the central auditory system: A pattern-recognition meta-analysis T2 - Frontiers in Computational Neuroscience TI - One hundred ways to process time, frequency, rate and scale in the central auditory system: A pattern-recognition meta-analysis UR - http://dx.doi.org/10.3389/fncom.2015.00080 http://journal-cdn.frontiersin.org/article/112697/files/pubmed-zip/versions/2/pdf VL - 9 ID - 1820 ER - TY - CONF AB - The research is connected with the field of biometrics. Biometrics research consists of fingerprint scans, retina scans, voiceprint analyses, and so on [E.D. Zwicky et al., (2000)]. A handprint signature is collected from a cardholder when filling out the application form and formularized to an electronic signature. This e-signature is then transmitted and stored in metadata frames of a data warehouse. We extract the e-signature consisting of a group of numbers from the warehouse. This group of numbers is used in online analytical mining (OLAM) [Joseph Fong et al., (2000)]. In our case study, we use the Internet as a network channel. We use the technique of online analytical mining to justify the e-signature. Our neural network system in the card center learns a sample e-signature and makes a decision on a tested e-signature, whether it is correct or not. Once the tested e-signature is examined by the system, the e-signature becomes a record in our system. We store it for the next evaluation of a tested e-signature in case of failure of a first round test with the initial e-signature. The second round test would be done with the latest e-signature with a positive result. AU - Fong, J. AU - San Kuen, Cheung C3 - ISDB'02: IASTED International Conference on Information Systems and Databases, 25-27 Sept. 2002 DA - 2002 KW - credit transactions data mining Data warehouses fingerprint identification Internet message authentication meta data neural nets PB - Acta Press PY - 2002 SP - 287-92 ST - Online analytical mining for e-signature T3 - Proceedings of the IASTED International Conference Information Systems and Databases TI - Online analytical mining for e-signature ID - 1526 ER - TY - JOUR AB - A meta-analysis involving 42 articles was performed to study the existence of potential contextual moderators of the relationship between information quality (IQ) and consumer satisfaction in the online environment. A moderator analysis involving website type (retail or e-services), sample characteristics (respondent type and respondent origin) and the IQ categories used (representational and non-representational) in articles revealed that whereas website type and IQ categories moderate the relationship between perceived online IQ and consumer satisfaction, sample characteristics do not. Implications of the results for researchers and practitioners and directions of future research are presented. 2015 Elsevier B.V. All rights reserved. AU - Ghasemaghaei, Maryam AU - Hassanein, Khaled DA - 2015 DO - 10.1016/j.im.2015.07.001 IS - 8 J2 - Information and Management KW - data mining Information analysis Moderators Quality Control Social networking (online) Websites L1 - internal-pdf://1116945487/Ghasemaghaei-2015-Online information quality a.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 03787206 SP - 965-981 ST - Online information quality and consumer satisfaction: The moderating roles of contextual factors - A meta-analysis T2 - Information and Management TI - Online information quality and consumer satisfaction: The moderating roles of contextual factors - A meta-analysis UR - http://dx.doi.org/10.1016/j.im.2015.07.001 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0378720615000695/1-s2.0-S0378720615000695-main.pdf?_tid=1e42c088-8336-11e6-8091-00000aacb35f&acdnat=1474818094_48803d362a6605af349ac3700e5747c9 VL - 52 ID - 1800 ER - TY - CONF AB - Online media provides opportunities for marketers through which they can deliver effective brand messages to a wide range of audiences at scale. Advertising technology platforms enable advertisers to reach their target audience by delivering ad impressions to online users in real time. In order to identify the best marketing message for a user and to purchase impressions at the right price, we rely heavily on bid prediction and optimization models. Even though the bid prediction models are well studied in the literature, the equally important subject of model evaluation is usually overlooked or not discussed in detail. Effective and reliable evaluation of an online bidding model is crucial for making faster model improvements as well as for utilizing the marketing budgets more efficiently. In this paper, we present an experimentation framework for bid prediction models where our focus is on the practical aspects of model evaluation. Specifically, we outline the unique challenges we encounter in our platform due to a variety of factors such as heterogeneous goal definitions, varying budget requirements across different campaigns, high seasonality and the auction-based environment for inventory purchasing. Then, we introduce return on investment (ROI) as a unified model performance (i.e., success) metric and explain its merits over more traditional metrics such as click-through rate (CTR) or conversion rate (CVR). Most importantly, we discuss commonly used evaluation and metric summarization approaches in detail and propose a more accurate method for online evaluation of new experimental models against the baseline. Our meta-analysis-based approach addresses various shortcomings of other methods and yields statistically robust conclusions that allow us to conclude experiments more quickly in a reliable manner. We demonstrate the effectiveness of our evaluation strategy on real campaign data through some experiments. 2015 IEEE. AU - Shariat, Shahriar AU - Orten, Burkay AU - Dasdan, Ali C3 - 15th IEEE International Conference on Data Mining, ICDM 2015, November 14, 2015 - November 17, 2015 DA - 2016 DO - 10.1109/ICDM.2015.32 KW - Budget control Commerce data mining Forecasting Marketing Optimization Statistical tests N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2016 SN - 15504786 SP - 369-378 ST - Online model evaluation in a large-scale computational advertising platform T3 - Proceedings - IEEE International Conference on Data Mining, ICDM TI - Online model evaluation in a large-scale computational advertising platform UR - http://dx.doi.org/10.1109/ICDM.2015.32 VL - 2016-January ID - 1247 ER - TY - JOUR AB - Online portfolio selection is a fundamental problem in computational finance, which has been extensively studied across several research communities, including finance, statistics, artificial intelligence, machine learning, and data mining. This article aims to provide a comprehensive survey and a structural understanding of online portfolio selection techniques published in the literature. From an online machine learning perspective, we first formulate online portfolio selection as a sequential decision problem, and then we survey a variety of state-of-the-art approaches, which are grouped into several major categories, including benchmarks, Follow-the-Winner approaches, Follow-the-Loser approaches, Pattern-Matching-based approaches, and Meta-Learning Algorithms. In addition to the problem formulation and related algorithms, we also discuss the relationship of these algorithms with the capital growth theory so as to better understand the similarities and differences of their underlying trading ideas. This article aims to provide a timely and comprehensive survey for both machine learning and data mining researchers in academia and quantitative portfolio managers in the financial industry to help them understand the state of the art and facilitate their research and practical applications. We also discuss some open issues and evaluate some emerging new trends for future research. AU - Li, Bin AU - Hoi, Steven C. H. DA - 2014/01// DO - 10.1145/2512962 IS - 3 PY - 2014 SN - 0360-0300 SP - 35 ST - Online Portfolio Selection: A Survey T2 - Acm Computing Surveys TI - Online Portfolio Selection: A Survey UR - http://dl.acm.org/citation.cfm?doid=2578702.2512962 VL - 46 ID - 2098 ER - TY - JOUR AU - Zielstorff, Rita D. DA - 1998 DP - Google Scholar IS - 3 PY - 1998 SP - 227-236 ST - Online practice guidelines T2 - Journal of the American Medical Informatics Association TI - Online practice guidelines UR - http://jamia.oxfordjournals.org/content/5/3/227.short VL - 5 Y2 - 2016/09/24/16:08:30 ID - 2447 ER - TY - CONF AB - An algorithm of online similarity query of dynamic time sequences is proposed as for the need of time sequences real-time analysis. This algorithm uses improved Euclidean Distance as similar measurement and then evaluates the similar distance between dynamic time sequences and pattern time sequences in a batch pattern using Fast Fourier Transform. In order to shorten waiting time prediction patterns are used to predict feature value and accomplish fast response of online query by comparing the similarity between prediction sequences and pattern sequences. Simulation results show that the proposed algorithm can efficiently and correctly solve the online similar query. 2012 IEEE. AU - Zhang, Zichun AU - Liu, Yongdan AU - Guo, Xiaoyun AU - Zhu, Jianhua C3 - 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012, October 30, 2012 - November 1, 2012 DA - 2012 DO - 10.1109/CCIS.2012.6664605 KW - Algorithms cloud computing data mining Fast Fourier transforms Forecasting N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 1346-1352 ST - Online query algorithm of dynamic time sequences based on fast fourier transform T3 - Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 TI - Online query algorithm of dynamic time sequences based on fast fourier transform UR - http://dx.doi.org/10.1109/CCIS.2012.6664605 VL - 3 ID - 878 ER - TY - CONF AB - This paper describes a theoretical approach on data mining, information classifying and a global overview of our OntoExtractor application, concerning the analysis of incoming data flow and generate metadata structures. In order to help the user to classify a big and varied group of data, our proposal is to use fuzzy-based techniques to compare and classify the data. Before comparing the elements, the incoming flow of information has to be converted into a common structured format like XML. With those structured documents now we can compare and cluster the various data and generate a metadata structure about this data repository. AU - Zhan, Cui AU - Damiani, E. AU - Leida, M. AU - Viviani, M. C3 - Knowledge-Based Intelligent Information and Engineering Systems. 9th International Conference, KES 2005. Proceedings Part I, 14-16 Sept. 2005 DA - 2005 KW - classification data mining fuzzy set theory meta data ontologies (artificial intelligence) PB - Springer-Verlag PY - 2005 SP - 112-18 ST - OntoExtractor: a fuzzy-based approach in clustering semi-structured data sources and metadata generation T3 - Knowledge-Based Intelligent Information and Engineering Systems. 9th International Conference, KES 2005. Proceedings Part I (Lecture Notes in Artificial Intelligence Vol. 3681) TI - OntoExtractor: a fuzzy-based approach in clustering semi-structured data sources and metadata generation ID - 1329 ER - TY - CONF AB - In a series of publications, we have employed ontological theories and principles to evaluate and improve the quality of conceptual modeling grammars and models. In this article, we advance this research program by conducting an ontological analysis to investigate the proper representation of types whose instances are collectives, as well as the representation of part-whole relations involving them. As a result, we provide an ontological interpretation for these notions, as well as modeling guidelines for their sound representation in conceptual modeling. Moreover, we present a precise qualification for the parthood relations of member-collective and subcollective-collective in terms of formal mereological theories of parthood, as well as in terms of the modal meta-properties of essential and inseparable parts. 2011 Springer-Verlag. AU - Guizzardi, Giancarlo C3 - 23rd International Conference on Advanced Information Systems Engineering, CAiSE 2011, June 20, 2011 - June 24, 2011 DA - 2011 DO - 10.1007/978-3-642-21640-4_12 KW - data mining Information systems Models ontology Quality Control Systems engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2011 SN - 03029743 SP - 138-153 ST - Ontological foundations for conceptual part-whole relations: The case of collectives and their parts T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Ontological foundations for conceptual part-whole relations: The case of collectives and their parts UR - http://dx.doi.org/10.1007/978-3-642-21640-4_12 VL - 6741 LNCS ID - 1014 ER - TY - CONF AB - This paper describes some improvements of our previous work that realizes an integrated framework for extracting constraint-based multi-level association rules with an ontology support. The ontology is not the repository of the data, but it models the application domain describing the meta-data. Furthermore, it permits to focus the analysis only on a subset of data and to express multilevel constraints on them. In this context, we report some theoretical notion already introduced and a detailed description of the recent improvements: the introduction of the object properties in the framework, and the implementation of an user interface. AU - Belland, Andrea AU - Furletti, Barbara AU - Grossi, Valerio AU - Romei, Andrea C3 - IASTED International Conference on Artificial Intelligence and Applications, AIA 2008, February 13, 2008 - February 15, 2008 DA - 2008 KW - applications artificial intelligence Association rules Associative processing data mining Information Management ontology User interfaces N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Acta Press PY - 2008 SP - 110-115 ST - Ontological support for association rule mining T3 - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2008 TI - Ontological support for association rule mining ID - 1493 ER - TY - CONF AB - Data management in post-genomic clinical trials is the process of collecting and validating clinical and genomic data with the goal to answer research questions and to preserve it for future scientific investigation. Comprehensive metadata describing the semantics of the data are needed to leverage it for further research like cross-trial analysis. Current clinical trial management systems mostly lack sufficient metadata and are not semantically interoperable. This paper outlines our approach to develop an application that allows trial chairmen to design their trial and especially the required data management system with comprehensive metadata according to their needs, integrating a clinical trial ontology into the design process. To demonstrate the built-in interoperability of data management systems developed in this way, we integrate these applications into a European biomedical Grid for cancer research in a way that the research data collected in the data management systems can be seamlessly analyzed and mined by researchers. AU - Weiler, G. AU - Brochhausen, M. AU - Graf, N. AU - Schera, F. AU - Hoppe, A. AU - Kiefer, S. C3 - 29th Annual International Conference of the IEEE EMBS, 23-26 Aug. 2007 DA - 2007 KW - Cancer Genetics Grid computing medical computing meta data ontologies (artificial intelligence) PB - IEEE PY - 2007 SP - 6434-7 ST - Ontology based data management systems for post-genomic clinical trials within a European grid infrastructure for cancer research T3 - Proceedings of the 29th Annual International Conference of the IEEE EMBS TI - Ontology based data management systems for post-genomic clinical trials within a European grid infrastructure for cancer research ID - 514 ER - TY - CONF AB - Usually data mining applications present diverse models to get the waited specific results. However the same don't include any ontology to represent and better assist the understanding of the concepts of metamodel, sub-model and relationships that implicitly exist in the models. Relational models of mining are widely used and multi-relational models recently start to become important. This article focuses the use of multi-relational data mining and shows a case study that considers the ontology representation and describes the processes to create a new perspective of this methodology utilization. 2008 IEEE. AU - Bortoleto, Silvio AU - Ebecken, Nelson F. F. C3 - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008, November 26, 2008 - November 28, 2008 DA - 2008 DO - 10.1109/ISDA.2008.285 KW - Information Management Intelligent systems mining ontology Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2008 SP - 460-463 ST - Ontology model for multi-relational data mining application T3 - Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 TI - Ontology model for multi-relational data mining application UR - http://dx.doi.org/10.1109/ISDA.2008.285 VL - 2 ID - 1693 ER - TY - CONF AB - A Computer-Aided Decision System (CADS) based on the diagnostic-based ontology is developed in order to provide and broadcast of the knowledge of the medical experts (medicine, surgeon, physiotherapist, etc) for the diagnosis and treatment of children deformities specifically the lower limbs. We proposed a new infrastructure of the CADS which consists of four components: a diagnostic-based ontology of the musculoskeletal system of the lower limbs, a biomechanics meta-database, a statistical classification based on data mining techniques, and an interactive module as Web-based module for managing the interaction between experts, patients and the CADS. As applications, the Rotational Abnormalities (RA) and the clubfoot deformity of the musculoskeletal system of the lower limbs were studied. The quality of the diagnosis and treatment will be improved through an evidence-based diagnostic, a conservative treatment, and a follow up process. The use of the diagnostic-based ontology in the diagnosis process is a new approach which could be of help to improve the diagnosis and subsequently the treatment. Moreover, CADS could be extended to other children deformities. 2009 Springer Berlin Heidelberg. AU - Dao, T. T. AU - Marin, F. AU - Tho, M. C. Ho Bas C3 - 4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008, November 23, 2008 - November 27, 2008 DA - 2008 DO - 10.1007/978-3-540-89208-3_366 KW - Biomechanics Computer aided analysis Computer aided diagnosis Computer architecture data mining Diseases multimedia systems Musculoskeletal system ontology Pathology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2008 SN - 16800737 SP - 1540-1543 ST - Ontology-based computer-aided decision system: A new architecture and application concerning the musculoskeletal system of the lower limbs T3 - IFMBE Proceedings TI - Ontology-based computer-aided decision system: A new architecture and application concerning the musculoskeletal system of the lower limbs UR - http://dx.doi.org/10.1007/978-3-540-89208-3_366 VL - 22 ID - 1096 ER - TY - CONF AB - Patent documents consist of well-structured descriptions of the technology innovation and the research results. Patent documents are typically written with specific terminologies which often require the expertise of domain experts to interpret and organize for patent analysis. The rapid growth of number of patents applications and registry increases the difficulty in extracting and synthesizing knowledge from patents. The aim of this paper is to construct a framework of expressing and extracting accurate knowledge from patent documents that are related to dental implant connections. First, domain related patents are collected from the United States Patent and Trademark Office. Text mining techniques are used to analyze the key words in the sample set of patents. An ontology is created to express the domain knowledge by using a new ontology engineering technique. In recent years, the aging population has increased the demand for new products and innovations in the dental implant industry. Dental implants are a global, medically accepted treatment used to restore the human masticatory function. The patents collected in the domain of implant connections are used to test the validity and reliability of the ontology development framework. The study of patents related to dental implant connections is considered a critical part of advancing dental implant devices since these designs and innovations are subjected to extensive clinical trials. Given an accurate ontology schema, dental researchers correlate successful prior art designs to successful clinical trials to better understand the interaction between a new artificial body part and the response of the surgical implantation. The value of a patent increases dramatically if the device can be safely used by dentists to treat patients with fewer failures and longer utility. AU - Trappey, A. J. C. AU - Hsin-Yi, Peng AU - Trappey, C. V. AU - Tong-Mei, Wang C3 - 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 27-29 June 2013 DA - 2013 DO - 10.1109/CSCWD.2013.6580972 KW - data mining dentistry ontologies (artificial intelligence) patents Patient treatment surgery text analysis PB - IEEE PY - 2013 SP - 257-62 ST - Ontology-based dental implant connection patent analysis T3 - Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD) TI - Ontology-based dental implant connection patent analysis UR - http://dx.doi.org/10.1109/CSCWD.2013.6580972 ID - 825 ER - TY - CONF AB - Manufacturing systems are getting more and more distributed, mainly because of the growing interconnection through networks of machines, manufacturing lines, cells, plants or enterprises. Agent technology has proven to be a solution to manage distributed systems, reinforcing the importance of information and communication, and focusing attention on the interoperability between the different parts. In this paper, the interoperability of a distributed manufacturing system is addressed, in an application employing software agents faced to heterogeneous resources. The approach consists to unify all the data exchanged by the agents in a common framework, and follows first the design of all the information in a meta model, then the construction of an ontology, and finally the specification of a common description language. 2007 IEEE. AU - Diep, Daniel AU - Alexakos, Christos AU - Wagner, Thomas C3 - 12th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2007, September 25, 2007 - September 28, 2007 DA - 2007 DO - 10.1109/EFTA.2007.4416869 KW - Agents Electric power transmission networks Factory automation Interoperability Manufacture Multi agent systems ontology Semiconductor quantum dots Software agents Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2007 SP - 855-862 ST - An ontology-based interoperability framework for distributed manufacturing control T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA TI - An ontology-based interoperability framework for distributed manufacturing control UR - http://dx.doi.org/10.1109/EFTA.2007.4416869 ID - 640 ER - TY - JOUR AB - BACKGROUND: The investigation of the interconnections between the molecular and genetic events that govern biological systems is essential if we are to understand the development of disease and design effective novel treatments. Microarray and next-generation sequencing technologies have the potential to provide this information. However, taking full advantage of these approaches requires that biological connections be made across large quantities of highly heterogeneous genomic datasets. Leveraging the increasingly huge quantities of genomic data in the public domain is fast becoming one of the key challenges in the research community today. METHODOLOGY/RESULTS: We have developed a novel data mining framework that enables researchers to use this growing collection of public high-throughput data to investigate any set of genes or proteins. The connectivity between molecular states across thousands of heterogeneous datasets from microarrays and other genomic platforms is determined through a combination of rank-based enrichment statistics, meta-analyses, and biomedical ontologies. We address data quality concerns through dataset replication and meta-analysis and ensure that the majority of the findings are derived using multiple lines of evidence. As an example of our strategy and the utility of this framework, we apply our data mining approach to explore the biology of brown fat within the context of the thousands of publicly available gene expression datasets. CONCLUSIONS: Our work presents a practical strategy for organizing, mining, and correlating global collections of large-scale genomic data to explore normal and disease biology. Using a hypothesis-free approach, we demonstrate how a data-driven analysis across very large collections of genomic data can reveal novel discoveries and evidence to support existing hypothesis. AU - Kupershmidt, Ilya AU - Su, Qiaojuan Jane AU - Grewal, Anoop AU - Sundaresh, Suman AU - Halperin, Inbal AU - Flynn, James AU - Shekar, Mamatha AU - Wang, Helen AU - Park, Jenny AU - Cui, Wenwu AU - Wall, Gregory D. AU - Wisotzkey, Robert AU - Alag, Satnam AU - Akhtari, Saeid AU - Ronaghi, Mostafa DA - 2010 DO - 10.1371/journal.pone.0013066 IS - 9 J2 - PLoS One KW - *Databases, Genetic *Data Mining Animals Database management systems Gene Expression Profiling Humans Meta-Analysis as Topic L1 - internal-pdf://2362825621/Kupershmidt-2010-Ontology-based meta-analysis.pdf LA - eng PY - 2010 SN - 1932-6203 1932-6203 ST - Ontology-based meta-analysis of global collections of high-throughput public data T2 - PloS one TI - Ontology-based meta-analysis of global collections of high-throughput public data UR - http://journals.plos.org/plosone/article/asset?id=10.1371/journal.pone.0013066.PDF VL - 5 ID - 26 ER - TY - CHAP A2 - Jankowski, N. A2 - Duch, W. A2 - Grabczewski, K. AB - This chapter describes a principled approach to meta-learning that has three distinctive features. First, whereas most previous work on meta-learning focused exclusively on the learning task, our approach applies meta-learning to the full knowledge discovery process and is thus more aptly referred to as meta-mining. Second, traditional meta-learning regards learning algorithms as black boxes and essentially correlates properties of their input (data) with the performance of their output (learned model). We propose to tear open the black box and analyse algorithms in terms of their core components, their underlying assumptions, the cost functions and optimization strategies they use, and the models and decision boundaries they generate. Third, to ground meta-mining on a declarative representation of the data mining (DM) process and its components, we built a DM ontology and knowledge base using the Web Ontology Language (OWL). AU - Hilario, Melanie AU - Nguyen, Phong AU - Do, Huyen AU - Woznica, Adam AU - Kalousis, Alexandros PY - 2011 SN - 978-3-642-20979-6 SP - 273-315 ST - Ontology-Based Meta-Mining of Knowledge Discovery Workflows T2 - Meta-Learning in Computational Intelligence TI - Ontology-Based Meta-Mining of Knowledge Discovery Workflows VL - 358 ID - 2062 ER - TY - JOUR AB - Ontology-driven conceptual modeling (ODCM) is still a relatively new research domain in the field of information systems and there is still much discussion on how the research in ODCM should be performed and what the focus of this research should be. Therefore, this article aims to critically survey the existing literature in order to assess the kind of research that has been performed over the years, analyze the nature of the research contributions and establish its current state of the art by positioning, evaluating and interpreting relevant research to date that is related to ODCM. To understand and identify any gaps and research opportunities, our literature study is composed of both a systematic mapping study and a systematic review study. The mapping study aims at structuring and classifying the area that is being investigated in order to give a general overview of the research that has been performed in the field. A review study on the other hand is a more thorough and rigorous inquiry and provides recommendations based on the strength of the found evidence. Our results indicate that there are several research gaps that should be addressed and we further composed several research opportunities that are possible areas for future research. 2015 - IOS Press and the authors. All rights reserved. AU - Verdonck, Michael AU - Gailly, Frederik AU - De Cesare, Sergio AU - Poels, Geert DA - 2015 DO - 10.3233/AO-150154 IS - 3-4 J2 - Applied Ontology KW - data mining Mapping ontology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 15705838 SP - 197-227 ST - Ontology-driven conceptual modeling: A'systematic literature mapping and review T2 - Applied Ontology TI - Ontology-driven conceptual modeling: A'systematic literature mapping and review UR - http://dx.doi.org/10.3233/AO-150154 VL - 10 ID - 875 ER - TY - JOUR AB - While vaccine efficacy and safety research has dramatically progressed with the methods of in silico prediction and data mining, many challenges still exist. A formal ontology is a human- and computer-interpretable set of terms and relations that represent entities in a specific domain and how these terms relate to each other. Several community-based ontologies (including Vaccine Ontology, Ontology of Adverse Events and Ontology of Vaccine Adverse Events) have been developed to support vaccine and adverse event representation, classification, data integration, literature mining of host-vaccine interaction networks, and analysis of vaccine adverse events. The author further proposes minimal vaccine information standards and their ontology representations, ontology-based linked open vaccine data and meta-analysis, an integrative One Network ('OneNet') Theory of Life, and ontology-based approaches to study and apply the OneNet theory. In the Big Data era, these proposed strategies provide a novel framework for advanced data integration and analysis of fundamental biological networks including vaccine immune mechanisms. AU - He, Yongqun DA - 2014/07//undefined DO - 10.1586/14760584.2014.923762 IS - 7 J2 - Expert Rev Vaccines KW - *Biological Ontologies *Databases, Factual *Drug Design adverse event Brucella Vaccine/immunology Computer Simulation Data Interpretation, Statistical data mining Humans interaction network literature mining Meningitis, Meningococcal/immunology/prevention & control Meningococcal Vaccines/immunology Meta-analysis Neisseria meningitidis/immunology ontology theory vaccine vaccine efficacy Vaccines/*adverse effects/*immunology/therapeutic use vaccine safety L1 - internal-pdf://1487105994/He-2014-Ontology-supported research on vaccine.pdf LA - eng PY - 2014 SN - 1744-8395 1476-0584 SP - 825-841 ST - Ontology-supported research on vaccine efficacy, safety and integrative biological networks T2 - Expert review of vaccines TI - Ontology-supported research on vaccine efficacy, safety and integrative biological networks UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4815432/pdf/nihms766456.pdf VL - 13 ID - 143 ER - TY - CONF AB - The proceedings contain 105 papers. The topics discussed include: jMock: supporting responsibility-based design with mock objects; advanced refactorings in eclipse; JQuery: finding your way through tangled code; modeling event driven applications with a specification language (MEDASL); design snippets: partial design representations extracted from source code; meta-programming for the real world; JRA: offline analysis of runtime behavior; modeling and building software product lines with eclipse; PRISM is research in aSpect mining; smell detection for eclipse; program transformations for re-engineering C++ components [OOPSLA/GPCE]; C-SAW and GenAWeave: a two-level aspect weaving toolsuite; the concern manipulation environment [OOPSLA/GPCE]; object-oriented, structural software configuration management; implementing DSL in MetaOCaml; modeling dynamics of agile software development; interactive visualization of object-oriented programs; and generic ownership: practical ownership in programming languages. C3 - 19th Annual ACM Conference on Object-Oriented Programming, Systems, Languages, and Applications, OOPSLA'04, October 24, 2004 - October 28, 2004 DA - 2004 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2004 SP - ACM-SIGPLAN ST - OOPSLA'04 - Conference Companion: 19th Annual ACM Conference on Object-Oriented Programming, Systems, Languages, and Applications T3 - Proceedings of the Conference on Object-Oriented Programming Systems, Languages, and Applications, OOPSLA TI - OOPSLA'04 - Conference Companion: 19th Annual ACM Conference on Object-Oriented Programming, Systems, Languages, and Applications ID - 552 ER - TY - CONF AB - In the context of distance learning and teaching, a reengineering process needs a feedback on the learners' uses of the learning system. The feedback could be given by interviews, questionnaires, but in many systems, it is also provided by the analysis of log files. Our works on the reengineering driven by models of e-learning systems, propose an architecture for usage analysis and a meta-language for describing the tracks' semantic and for linking them to observation needs defined in the predictive scenario. This architecture wants to be a collaborative cluster of services available for and designed by a community of practices on usage analysis. Concerning our meta-language UTL, we consider that it is important to interpret tracks in order to compare the designer's intentions with the learners' activities during a session. AU - Iksal, S. AU - Choquet, C. C3 - Proceedings. 5th IEEE International Conference on Advanced Learning Technologies, 5-8 July 2005 DA - 2005 KW - Computer aided instruction data mining Distance learning systems re-engineering teaching PB - IEEE Comput. Soc. PY - 2005 SP - 177-81 ST - An open architecture for usage analysis in a e-learning context T3 - Proceedings. 5th IEEE International Conference on Advanced Learning Technologies TI - An open architecture for usage analysis in a e-learning context ID - 1522 ER - TY - JOUR AB - To improve the capability and usability of the personal health record (PHR) as a tool to empower consumers in the management of their own health, we have proposed the concept of an intelligent PHR (iPHR) and built a prototype iPHR system with four functions. These four functions use various health knowledge and computer science techniques to automatically provide users with personalized healthcare information to facilitate their well-being. This paper discusses several open issues in iPHR, including two enhancements to an existing function and two potential new functions. The two enhancements are for automatically compiling relevant self-care activities for each health issue and automatically identifying contraindicated self-care activities, respectively. One potential new function is personalized search for individual healthcare providers. Another potential new function is personalized local search for health-related services to help maintain patients in their homes. We include some preliminary thoughts on how to address these open issues with the hope to stimulate future research work on iPHR. AU - Luo, Gang DA - 2013/06// DO - 10.1007/s10916-013-9943-6 IS - 3 PY - 2013 SN - 0148-5598 SP - 9943 ST - Open Issues in Intelligent Personal Health Record - An Updated Status Report for 2012 T2 - Journal of Medical Systems TI - Open Issues in Intelligent Personal Health Record - An Updated Status Report for 2012 VL - 37 ID - 2069 ER - TY - JOUR ST - Open Science Prize | Automatic Synthesis of Systematic Reviews TI - Open Science Prize | Automatic Synthesis of Systematic Reviews UR - https://www.openscienceprize.org/p/s/1735166/? Y2 - 2016/09/24/20:34:21 ID - 2481 ER - TY - BOOK A3 - Liu, Y. A2 - Chen, A. AB - In the area of Earth Observation, because Imaging Satellite Remote Sensing Data has been widely used in various fields, many studies have been carried out for its archive and "meta-data + file"[1] approach, a de facto standard for imaging data ' s archive, has been widely adopted. However, Non-Imaging Satellite Remote Sensing Data, as scientific data, is mainly used in scientific research and has relatively narrow range of applications. The study of its archive method is lagging behind and a recognized archive mode has not yet been established now. As Non-Imaging Satellite Remote Sensing Data has characteristics of complex storage structure, high sampling frequency, large data volume and short repetition period, an proprietary efficient Non-Imaging Satellite Remote Sensing Data archive system is needed for its storing, retrieving, and data mining and analyzing. In this paper, characteristics of DEMETER observation data are analyzed at first, and then a management framework is presented for DEMETER observation data archive. At last, an open source based archiving system for the data is developed and conclusion is given for further research on China's earthquake electro-magnetic satellite data archive. AU - Wang, Chaoliang AU - Song, Xianfeng AU - Xu, Fangzhou DA - 2010 PY - 2010 SN - 978-1-4244-7302-1 ST - Open Source Solution to Geospatial Infrastructure for DEMETER Observation Data Archives TI - Open Source Solution to Geospatial Infrastructure for DEMETER Observation Data Archives ID - 2172 ER - TY - CONF AB - Dinarido-Albanido-Hellenic folded alpine belt is interpreted as a result of Mesozoic - Cenozoic convergence and continental collision of a series of micro-blocks localized between the Eurasian and African plates. The ophiolites of the Balkan Peninsula are particularly formed in the ocean basins which were divided by micro-continents during the Mesozoic period and they are products of the Mesozoic - Cenozoic obduction. The Vardar Ophiolites from the region of Gjilan are covered by a chaotic sequence, well stratified, including the ophiolitic melange. In the region of Gjilan, the Ophiolitic constituens are the upper part of the stratified gabbros, isotropic gabbros and a dolerite dike-complex. The geochemical analysis (unpublished data) of the dolerite dike - complex confirm a normal composition MORB - type rocks. After mapping (1: 25000) the region of Gjilan [1], we have concluded that the ophiolitic melange is placed on gabbros, on the parallel dike-complex and on the granites that are mainly intruded in parallel dolerite-dikes. This melange consists of a marl - clay matrix and interbedded sandstones. The blocks are mostly represented by basalt from a few meters to a few tens of meters in size. There are also limestone blocks, meta-sandstones etc. This succession is followed by pelagic sediments represented by breccias limestones, marls and typical radiolarites of turbidites. In the micrite to pelmicrite breccias limestones the presence of Crescientiella morronensis confirm the Upper Jurassic age. The limestones with siliceous intercalations show benthic small foraminifera assemblages characteristics of the Upper Jurassic age. In the top of this sedimentary melange (the sediments show the characteristics of a true flysche where the thickness of limestone layers is around 100m). The age is Upper Jurassic. The entire sequence is closed by a massive limestone with clayly-marly intercalations. The structural relations of the sedimentary melange with the ophiolites situated below and the litostratigraphic evidence of this sedimentary melange of Gjilan region suggest their sedimentary origin and not their tectonic origin [2]. The structural and kinematic data concerning the metamorphic rock of the Dardania zone show the evidence of a transport of the ocean slab towards the northeast. SGEM2011 All Rights Reserved by the International Multidisciplinary Scientific GeoConference SGEM. AU - Fejza, Islam AU - Meshi, Avni AU - Muceku, Bardhyl AU - Tmava, Ahmet AU - Utu, Andrea AU - Avdullahi, Sabri AU - Meha, Murat C3 - 11th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2011, June 20, 2011 - June 25, 2011 DA - 2011 KW - Analytical geochemistry Fertilizers Hydraulic structures Levees Limestone Metamorphic rocks Rocks Sandstone Sedimentology tectonics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Multidisciplinary Scientific Geoconference and EXPO PY - 2011 SP - 297-303 ST - The ophiolitic melange in the Gjilan region (Kosovo) is the supra-ophiolitic sedimentary melange or infra-ophiolitic tectonic melange? T3 - 11th International Multidisciplinary Scientific Geoconference and EXPO - Modern Management of Mine Producing, Geology and Environmental Protection, SGEM 2011 TI - The ophiolitic melange in the Gjilan region (Kosovo) is the supra-ophiolitic sedimentary melange or infra-ophiolitic tectonic melange? VL - 1 ID - 582 ER - TY - JOUR AU - Pang, Bo AU - Lee, Lillian DA - 2008 DP - Google Scholar IS - 1-2 PY - 2008 SP - 1-135 ST - Opinion mining and sentiment analysis T2 - Foundations and trends in information retrieval TI - Opinion mining and sentiment analysis UR - http://dl.acm.org/citation.cfm?id=1454712 VL - 2 Y2 - 2016/09/24/15:33:48 ID - 2319 ER - TY - JOUR AB - Purpose - The purpose of this paper is to address the challenge of opinion mining in text documents to perform further analysis such as community detection and consistency control. More specifically, we aim to identify and extract opinions from natural language documents and to represent them in a structured manner to identify communities of opinion holders based on their common opinions. Another goal is to rapidly identify similar or contradictory opinions on a target issued by different holders. Design/methodology/approach - For the opinion extraction problem we opted for a supervised approach focusing on the feature selection problem to improve our classification results. On the community detection problem, we rely on the Infomap community detection algorithm and the multi-scale community detection framework used on a graph representation based on the available opinions and social data. Findings - The classification performance in terms of precision and recall was significantly improved by adding a set of "meta-features" based on grouping rules of certain part of speech (POS) instead of the actual words. Concerning the evaluation of the community detection feature, we have used two quality metrics: the network modularity and the normalized mutual information (NMI). We evaluated seven one-target similarity functions and ten multi-target aggregation functions and concluded that linear functions perform poorly for data sets with multiple targets, while functions that calculate the average similarity have greater resilience to noise. Originality/value - Although our solution relies on existing approaches, we managed to adapt and integrate them in an efficient manner. Based on the initial experimental results obtained, we managed to integrate original enhancements to improve the performance of the obtained results. Emerald Group Publishing Limited. AU - Dinsoreanu, Mihaela AU - Potolea, Rodica DA - 2014 DO - 10.1108/IJWIS-04-2014-0016 IS - 4 J2 - International Journal of Web Information Systems KW - Classification (of information) data mining feature extraction Natural language processing systems Population Dynamics Quality Control Taxonomies Text processing L1 - internal-pdf://2967581135/Dinsoreanu-2014-Opinion-driven communities' de.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 17440084 SP - 324-342 ST - Opinion-driven communities' detection T2 - International Journal of Web Information Systems TI - Opinion-driven communities' detection UR - http://dx.doi.org/10.1108/IJWIS-04-2014-0016 VL - 10 ID - 1016 ER - TY - JOUR AB - When examining the evidence on therapeutic interventions to answer a comparative effectiveness research question, one should consider all studies that are informative on the interventions' causal effects. "Single group studies" evaluate outcomes longitudinally in cohorts of subjects who are managed with a single treatment strategy. Because these studies are "missing" a direct, concurrent comparison group, they are typically deemed non-informative on comparative effectiveness. However, in principle, single group studies can provide information on causal treatment effects by extrapolating expected outcomes in the "missing" untreated arm. Single group studies rely on before-after, implicit, or historical comparisons as a proxy for an ideal comparison group. The validity of these comparisons must be carefully examined on a case-by-case basis. While in many cases, researchers will disagree on whether such extrapolations are reasonable; circumstances exist where such studies are generally acceptable as a source of evidence. This article provides an overview of issues related to the interpretation of single group studies with a focus on the assumptions required to support their consideration in comparative effectiveness reviews. We discuss the various settings in which single group studies are employed, common research designs that systematic reviewers need to interpret, and challenges associated with using these designs to inform comparative effectiveness questions. AU - Paulus, Jessica K. AU - Dahabreh, Issa J. AU - Balk, Ethan M. AU - Avendano, Esther E. AU - Lau, Joseph AU - Ip, Stanley DA - 2014/06//undefined DO - 10.1002/jrsm.1101 IS - 2 J2 - Res Synth Methods KW - *Clinical Trials as Topic *Research Design *Review Literature as Topic before-after studies Comparative Effectiveness Research/*methods confounding Data Mining/*methods Evidence-Based Medicine historical controls observational studies Outcome Assessment (Health Care)/*methods single arm studies single group studies LA - eng PY - 2014 SN - 1759-2887 1759-2879 SP - 152-161 ST - Opportunities and challenges in using studies without a control group in comparative effectiveness reviews T2 - Research synthesis methods TI - Opportunities and challenges in using studies without a control group in comparative effectiveness reviews VL - 5 ID - 310 ER - TY - JOUR AB - Coupling of evolutionary algorithms (EA) with meta-models (MM) is used to investigate the concept of the optimal die semi-angle in wire drawing. Traditional process design by minimization of the wire drawing force highlights an optimal die angle which increases with friction factor and reduction ratio. When wire drawing optimization is applied on the Latham and Cockcroft damage criterion, an optimal die semi-angle no longer appears: in this mono-objective optimization, the lowest industrially achievable die angle is recommended. Thanks to EA-MM coupling, multi-objective optimizations have been performed and the Pareto optimal front has been precisely plotted so as to find the best compromise. Simultaneous optimization of damage and wire drawing force suggests a refined vision of the optimal die semi-angle concept. Choosing a lower angle than the traditional optimum allows damage to be decreased without a significant increase of the drawing force. However, it is shown that a die semi-angle slightly above the optimum should be selected, for fear of friction drift; this explains the rather high traditional value of the angle. AU - Masse, T. AU - Fourment, L. AU - Montmitonnet, P. AU - Bobadilla, C. AU - Foissey, S. DA - 2013/09// DO - 10.1007/s12289-012-1092-9 IS - 3 J2 - International Journal of Material Forming KW - evolutionary computation friction materials science computing optimisation Pareto analysis production engineering computing wire drawing PY - 2013 SN - 1960-6206 SP - 377-89 ST - The optimal die semi-angle concept in wire drawing, examined using automatic optimization techniques T2 - International Journal of Material Forming TI - The optimal die semi-angle concept in wire drawing, examined using automatic optimization techniques UR - http://dx.doi.org/10.1007/s12289-012-1092-9 VL - 6 ID - 597 ER - TY - JOUR AB - This work concerns the preliminary design stage for machining systems equipped with multi-spindle heads. The goal is to find for a given part an optimal system configuration which satisfies all technological, technical and economical constraints at minimal cost. In this article, the analysis of this design stage is firstly presented. Then, a mathematical model is given for the considered combinatorial optimization problem. Finally, efficient exact and heuristic methods are suggested to solve this problem. On the basis of the obtained theoretical results, a prototype of decision support system for the preliminary design stage for machining systems is developed. 2010 Lavoisier, Paris. AU - Guschinskaya, Olga DA - 2010 DO - 10.3166/jesa.44.771-790 IS - 7 J2 - Journal Europeen des Systemes Automatises KW - artificial intelligence Combinatorial optimization Decision support systems Decision theory Design Graph theory Heuristic algorithms Heuristic methods Integer programming machining Mathematical models N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2010 SN - 12696935 SP - 771-790 ST - Optimisation in design of multi-spindle machining systems T2 - Journal Europeen des Systemes Automatises TI - Optimisation in design of multi-spindle machining systems UR - http://dx.doi.org/10.3166/jesa.44.771-790 VL - 44 ID - 520 ER - TY - CONF AB - Manufacturing industry has come to recognize the potential of the data it generates as an information source for quality management departments to detect potential problems in the production as early and as accurately as possible. This is essential for reducing warranty costs and ensuring customer satisfaction. One of the greatest challenges in quality management is that the amount of data produced during the development and manufacturing process and in the after sales market grows rapidly. Thus, the need for automated detection of meaningful information arises. This work focuses on enhancing quality management by applying data mining approaches and introduces: (i) a meta model for data integration; (ii) a novel company internal analysis method which uses statistics and data mining to process the data in its entirety to find interesting, concealed information; and (iii) the application Q-AURA (quality - abnormality and cause analysis), an implementation of the concepts for an industrial partner in the automotive industry. 2014 Springer International Publishing. AU - Leitner, Thomas AU - Feilmayr, Christina AU - Woc, Wolfram C3 - 16th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2014, September 2, 2014 - September 4, 2014 DA - 2014 DO - 10.1007/978-3-319-10160-6_24 KW - Automotive industry Cost Benefit Analysis Customer satisfaction data mining Data warehouses Quality Control quality management N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2014 SN - 03029743 SP - 266-273 ST - Optimizing reaction and processing times in automotive industry's quality management: A data mining approach T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Optimizing reaction and processing times in automotive industry's quality management: A data mining approach UR - http://dx.doi.org/10.1007/978-3-319-10160-6_24 http://link.springer.com/chapter/10.1007%2F978-3-319-10160-6_24 VL - 8646 LNCS ID - 1608 ER - TY - CONF AB - SMOTE (Synthetic minority over-sampling technique) is a commonly used over-sampling technique to subside the imbalanced dataset problem. Traditionally SMOTE has two key important parameters, one is to control the amount of over-sampling, and the other specifies the area of the nearest neighbors. These two parameters are arbitrarily chosen by user. So there are no universally best default values. In this paper, we propose a method that uses metaheuristic optimization algorithms, Bat-inspired algorithm (BAT) and particle swarm optimization algorithm (PSO), to optimize the selection of these two parameters for improving the performance of classifiers for data mining imbalanced data. Users are allowed to define the minimum requirements for two performance indicators, such as Kappa and accuracy. The method iteratively searches for the best pair of SMOTE parameters. Two metaherustics, PSO and BAT are used to find the best parameter values for achieving the required performance via SMOTE. At the end, the highest possible accuracy is obtained while satisfying a minimum degree of Kappa as defined by the user. In comparison to the brute-force method, our method shows advantage in shorter run-time and good classification performance. 2015 IEEE. AU - Li, Jinyan AU - Fong, Simon AU - Zhuang, Yan C3 - 3rd International Symposium on Computational and Business Intelligence, ISCBI 2015, December 7, 2015 - December 9, 2015 DA - 2015 DO - 10.1109/ISCBI.2015.12 KW - Algorithms artificial intelligence data mining decision trees Importance sampling Information analysis Iterative methods Optimization Particle swarm optimization (PSO) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 26-32 ST - Optimizing SMOTE by Metaheuristics with Neural Network and Decision Tree T3 - Proceedings - 2015 3rd International Symposium on Computational and Business Intelligence, ISCBI 2015 TI - Optimizing SMOTE by Metaheuristics with Neural Network and Decision Tree UR - http://dx.doi.org/10.1109/ISCBI.2015.12 ID - 1053 ER - TY - JOUR AB - This study attempts to optimize the prediction accuracy of the compressive strength of high-performance concrete (HPC) by comparing data-mining methods. Modeling the dynamics of HPC, which is a highly complex composite material, is extremely challenging. Concrete compressive strength is also a highly nonlinear function of ingredients. Several studies have independently shown that concrete strength is determined not only by the water-to-cement ratio but also by additive materials. The compressive strength of HPC is a function of all concrete content, including cement, fly ash, blast-furnace slag, water, superplasticizer, age, and coarse and fine aggregate. The quantitative analyses in this study were performed by using five different data-mining methods: two machine learning models (artificial neural networks and support vector machines), one statistical model (multiple regression), and two metaclassifier models (multiple additive regression trees and bagging regression trees). The methods were developed and tested against a data set derived from 17 concrete strength test laboratories. The cross-validation of unbiased estimates of the prediction models for performance comparison purposes indicated that multiple additive regression tree (MART) was superior in prediction accuracy, training time, and aversion to overfitting. Analytical results suggested that MART-based modeling is effective for predicting the compressive strength of varying HPC age. 2011 American Society of Civil Engineers. AU - Chou, Jui-Sheng AU - Chiu, Chien-Kuo AU - Farfoura, Mahmoud AU - Al-Taharwa, Ismail DA - 2011 DO - 10.1061/(ASCE)CP.1943-5487.0000088 IS - 3 J2 - Journal of Computing in Civil Engineering KW - Cements Compressive strength data mining Fly ash Forecasting Mathematical models Neural networks Optimization Plant extracts Regression Analysis Slags Statistical tests Trees (mathematics) Water content N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 08873801 SP - 242-253 ST - Optimizing the prediction accuracy of concrete compressive strength based on a comparison of data-mining techniques T2 - Journal of Computing in Civil Engineering TI - Optimizing the prediction accuracy of concrete compressive strength based on a comparison of data-mining techniques UR - http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000088 VL - 25 ID - 1868 ER - TY - CONF AB - In this paper, a recently developed meta-heuristic optimization algorithm namely Cuckoo Search (CS) is introduced for analyzing a 4 4 dipole planar array (DPA) taking mutual coupling into account. The CS algorithm is employed to optimize the DPA using the multi-objective fitness function considering the Directivity (D), Half Power Beam Width (HPBW), and Front to Side Lobe Level (FSLL) of the antenna. The array is simulated using self developed Method of Moments (MOM) codes using MATLAB (7.8.0.347) and verified using standard MININEC (14.0) software package. Finally, the optimized results are compared with the results of other antenna arrays obtained using various other popular optimization techniques to evaluate the performance of the DPA. The computation time using CS is much less than PSO and 4 4 DPA provides higher D with low FSLL. Springer India 2015. AU - Pradhan, Hrudananda AU - Mangaraj, Biswa Binayak AU - Misra, Iti Saha C3 - 1st International Conference on Computational Intelligence in Data Mining, ICCIDM 2014, December 20, 2014 - December 21, 2014 DA - 2015 DO - 10.1007/978-81-322-2208-8_22 KW - Algorithms Antenna arrays Antenna lobes artificial intelligence Cesium data mining Dipole antennas MATLAB Method of moments Particle swarm optimization (PSO) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Science and Business Media Deutschland GmbH PY - 2015 SN - 21903018 SP - 235-245 ST - Optimum design and performance analysis of dipole planar array antenna with mutual coupling using cuckoo search algorithm T3 - Smart Innovation, Systems and Technologies TI - Optimum design and performance analysis of dipole planar array antenna with mutual coupling using cuckoo search algorithm UR - http://dx.doi.org/10.1007/978-81-322-2208-8_22 VL - 32 ID - 1232 ER - TY - CONF AB - Function decomposition is a machine learning algorithm that induces the target concept in the form of a hierarchy of intermediate concepts and their definitions. Though it is effective in discovering the concept structure hidden in the training data, it suffers much from under sampling. In this paper, we propose an oracle based meta learning method that generates new examples with the help of a bagged ensemble to induce accurate classifiers when the training data sets are small. Here the values of new examples to be generated and the number of such examples required are automatically determined by the algorithm. Previous work in this area deals with the generation of fixed number of random examples irrespective of the size of the training set's attribute space. Experimental analysis on different sized data sets shows that our algorithm significantly improves accuracy of function decomposition and is superior to existing meta-learning method. AU - Yada, R. S. S. AU - Khemani, D. C3 - Artificial Intelligence: Methodology, Systems, and Applications. 11th International Conference, AIMSA 2004. Proceedings, 2-4 Sept. 2004 DA - 2004 KW - data mining learning (artificial intelligence) PB - Springer-Verlag PY - 2004 SP - 158-67 ST - An oracle based meta-learner for function decomposition T3 - Artificial Intelligence: Methodology, Systems, and Applications. 11th International Conference, AIMSA 2004. Proceedings (Lecture Notes in Artificial Intelligence Vol.3192) TI - An oracle based meta-learner for function decomposition ID - 1536 ER - TY - CONF AB - Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze them. In this paper, we present an effective approach to address the pattern ordering problem by combining the rank information gathered from disparate sources. Although rank aggregation techniques have been developed for applications such as meta-search engines, they are not directly applicable to pattern ordering for two reasons. First, the techniques are mostly supervised, i.e., they require a sufficient amount of labeled data. Second, the objects to be ranked are assumed to be independent and identically distributed (i.i.d), an assumption that seldom holds in pattern ordering. The method proposed in this paper is an adaptation of the original Hedge algorithm, modified to work in an unsupervised learning setting. Techniques for addressing the i.i.d. violation in pattern ordering are also presented. Experimental results demonstrate that our unsupervised Hedge algorithm outperforms many alternative techniques such as those based on weighted average ranking and singular value decomposition. AU - Tan, Pang-Ning AU - Jin, Rong C3 - KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 22, 2004 - August 25, 2004 DA - 2004 KW - Algorithms Competition Computational complexity Computer Simulation data mining data structures Estimation Functions Mathematical models Problem solving Regression Analysis Search Engines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2004 SP - 695-700 ST - Ordering patterns by combining opinions from multiple sources T3 - KDD-2004 - Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - Ordering patterns by combining opinions from multiple sources ID - 1101 ER - TY - JOUR AB - The Idaho cobalt belt is a 60-km-long alignment of deposits composed of cobaltite, Co pyrite, chalcopyrite, and gold with anomalous Nb, Y, Be, and rare-earth elements (REEs) in a quartz-biotite-tourmaline gangue hosted in Mesoproterozoic metasedimentary rocks of the Lemhi Group. It is the largest cobalt resource in the United States with historic production from the Blackbird Mine. All of the deposits were deformed and metamorphosed to upper greenschist-lower amphibolite grade in the Cretaceous. They occur near a 1377 Ma anorogenic bimodal plutonic complex. The enhanced solubility of Fe, Co, Cu, and Au as chloride complexes together with gangue biotite rich in Fe and Cl and gangue quartz containing hypersaline inclusions allows that hot saline fluids were involved. The isotopes of B in gangue tourmaline are suggestive of a marine source, whereas those of Pb in ore suggest a U Th-enriched source. The ore and gangue minerals in this belt may have trapped components in fluid inclusions that are distinct from those in post-ore minerals and metamorphic minerals. Such components can potentially be identified and distinguished by their relative abundances in contrasting samples. Therefore, we obtained samples of Co and Cu sulfides, gangue quartz, biotite, and tourmaline and post-ore quartz veins as well as Cretaceous metamorphic garnet and determined the gas, noble gas isotope, and ion ratios of fluid inclusion extracts by mass spectrometry and ion chromatography. The most abundant gases present in extracts from each sample type are biased toward the gas-rich population of inclusions trapped during maximum burial and metamorphism. All have CO2/CH 4 and N2/Ar ratios of evolved crustal fluids, and many yield a range of H2-CH4-CO2-H2S equilibration temperatures consistent with the metamorphic grade. Cretaceous garnet and post-ore minerals have high RH and RS values suggestive of reduced sulfidic conditions. Most extracts have anomalous 4He produced by decay of U and Th and 38Ar produced by nucleogenic production from 41K. In contrast, some ore and gangue minerals yield significant SO2 and have low RH and R S values of a more oxidized fluid. Three extracts from gangue quartz have high helium R/RA values indicative of a mantle source and neon isotope compositions that require nucleogenic production of 22Ne in fluorite from U Th decay. Two extracts from gangue quartz have estimated 40K/40Ar that permit a Precambrian age. Extracts from gangue quartz in three different ore zones are biased toward the hypersaline population of inclusions and have a tight range of ion ratios (Na, K, NH4, Cl, Br, F) suggestive of a single fluid. Their Na, Cl, Br ratios suggest this fluid was a mixture of magmatic and basinal brine. Na-K-Ca temperatures (279-347C) are similar to homogenization temperatures of hypersaline inclusions. The high K/Na of the brine may be due to albitization of K silicate minerals in country rocks. Influx of K-rich brines is consistent with the K meta - somatism necessary to form gangue biotite with high Cl. An extract from a post-ore quartz vein is distinct and has Na, Cl, Br ratios that resemble metamorphic fluids in Cretaceous silver veins of the Coeur d'Alene district in the Belt Basin. The results show that in some samples, for certain components, it is possible to "see through" the Cretaceous metamorphic overprint. Of great import for genetic models, the volatiles trapped in gangue quartz have 3He derived from a mantle source and 22Ne derived from fluorite, both of which may be attributed to nearby 1377 Ma basalt-rhyolite magmatism. The brine trapped in gangue quartz is a mixture of magmatic fluid and evaporated seawater. The former requires a granitic intrusion that is present in the bimodal intrusive complex, and the latter equatorial paleolatitudes that existed in the Mesoproterozoic. The results permit genetic models involving heat and fluids from the neighboring bimodal plutonic complex and convection of basinal brine in the Lemhi Group. While the inferred fluid sources in the Idaho cobalt belt are similar in any respects to those in iron oxide copper-gold deposits, the fluids were more reduced such that iron was fixed in biotite and tourmaline instead of iron oxides. 2012 Society of Economic Geologists, Inc. AU - Andis, Gary P. L. AU - Hofstra, Albert H. DA - 2012 DO - 10.2113/econgeo.107.6.1189 IS - 6 J2 - Economic Geology KW - Argon Brines Bromine Carbon dioxide Chlorine Chlorine compounds Cobalt Cobalt deposits Copper compounds Deposits Fluorspar Garnets Gases Gold Gold deposits Helium Ions Iron oxides Isotopes Lead Mass Spectrometry Mica Mineralogy Neon Niobium Ores Quartz Seawater Sulfur dioxide tectonics L1 - internal-pdf://3211441679/Andis-2012-Ore genesis constraints on the Idah.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 03610128 SP - 1189-1205 ST - Ore genesis constraints on the Idaho cobalt belt from fluid inclusion gas, noble gas isotope, and ion ratio analyses T2 - Economic Geology TI - Ore genesis constraints on the Idaho cobalt belt from fluid inclusion gas, noble gas isotope, and ion ratio analyses UR - http://dx.doi.org/10.2113/econgeo.107.6.1189 http://econgeol.geoscienceworld.org.ezproxy.lib.vt.edu/content/econgeo/107/6/1189.full.pdf VL - 107 ID - 1149 ER - TY - JOUR AB - Organizations are complex dynamic systems composed of an ecology of networks connecting agents (people and intelligent artificial agents), knowledge, resources, and tasks/projects. Organizational management can be characterized as the science of managing the relationships in these networks so as to meet organizational goals such as high performance, minimal costs, and adaptability. Even the most effective managers often have little understanding of the underlying networks and have access only to out of date information on the state of the organization. Consequently, they rely on experience, hearsay, and tradition in designing teams and assessing the vulnerabilities in the organization, often leading to catastrophic errors. Such catastrophc errors can occur as a management change creates either a less than effective team or destroys the competency of an existing team in forming a new team. These problems are exacerbated for organizations in dynamic environments where there is volatility, changing missions, high turnover, and rapidly advancing technology. Advances in network analysis, multi-agent modeling, data-mining and information capture now open the possibility of effective real time monitoring and design of teams, organizations, and games. This enables reasoning about organizations using up-to-date information on the current state of the organization ("actual" or gamed) including who knows who, who knows what, who has done what, what needs to be done and so on. In this chapter, a meta-matrix view of organizations is presented and the process of using measures and tools based on this formulation for team design for "actual" and/or gamed organizations are described and illustrated using data from a dynamic organization. New approaches to assessing organizational vulnerability are described. Finally, the way in which such tools could be linked into existing real time data streams and the values of such linkage are discussed both for actual and gamed organizations. AU - Carley, Kathleen M. DA - 2005 DO - 10.1002/0471739448.ch14 PY - 2005 SP - 389-423 ST - ORGANIZATIONAL DESIGN AND ASSESSMENT IN CYBER-SPACE T2 - Organizational Simulation TI - ORGANIZATIONAL DESIGN AND ASSESSMENT IN CYBER-SPACE UR - http://onlinelibrary.wiley.com/doi/10.1002/0471739448.ch14/summary ID - 2187 ER - TY - BOOK A3 - Gilliland, S. W. A2 - Steiner, D. D. A2 - Skarlicki, D. P. AB - This chapter is about the mechanisms that cause organizational leaders and members (and thus, organizations) to operate toward the physical environ-ment in just ways-or, alternatively, to fail to be environmentally just. Two definitions of environmental justice found in public policy, environmental science, and philosophical documents and debates are presented. Next, a model of organizational environmental justice behavior is presented that includes the major justicc motives that psychologists, economists, and other social scientists have described; the taxonomy of major forms of identity and their relations to justice motives; values (cultural and personal); and the relationship of all of those categories of things to environmental justice. To further explicate the model, we present a case analysis of the environmental justice issues and processes surrounding coal mining at the Navajo (Dine(1)) Nation (Reservation) in New Mexico and Arizona. AU - James, Keith AU - Hall, David AU - Redsteer, Margaret Hiza AU - Doppelt, Robert DA - 2008 PY - 2008 SN - 978-1-59311-823-5 ST - ORGANIZATIONAL ENVIRONMENTAL JUSTICE WITH A NAVAJO (DINE) NATION CASE EXAMPLE TI - ORGANIZATIONAL ENVIRONMENTAL JUSTICE WITH A NAVAJO (DINE) NATION CASE EXAMPLE ID - 2279 ER - TY - JOUR AB - Despite a surge of studies examining the impact of organizational improvisation on product innovation performance, empirical researches showed the controversial results. To resolve this problem, this paper conducted a meta-analysis to restudy the relationship between organizational improvisation and product innovation performance based on the empirical research results of 25 independent samples. And this paper identified some moderators affecting this relationship. The research results indicated that the organizational improvisation-product innovation performance link was positive and significant. Results also showed that this relationship is context dependent. Factors such as the publication time, industrial characteristics, level of analysis, measuring dimensions affected the impact of organizational improvisation on product innovation performance to a large extent. In addition, publication bias, sensitive analysis and cumulative analysis were carried out. Based on these findings, we develop recommendations for future research. Metallurgical and Mining Industry. AU - Gao, Pengbin AU - Song, Yiduo AU - Mi, Jianing DA - 2015 IS - 6 J2 - Metallurgical and Mining Industry KW - Innovation Metallurgical engineering Mining engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 20760507 SP - 221-232 ST - Organizational improvisation and product innovation performance: A meta-analysis T2 - Metallurgical and Mining Industry TI - Organizational improvisation and product innovation performance: A meta-analysis VL - 7 ID - 1801 ER - TY - THES AB - Studies have been carried out on the water soluble ligand, 1,3,5-triaza-7-phosphaadamantane, PTA, and a series of d$\sp{10}$ metal-PTA complexes to determine the effect of PTA binding to the metal center via the phosphorus atom on the basicity of the nitrogen atoms of the ligand. Potentiometric titrations of PTA, O = PTA, and the complexes $\rm Pd\sp{II}Cl\sb2(PTA)\sb2,\ \lbrack Pd\sp{II}Cl(PTA)\sb3\rbrack Cl,\ Pd\sp0(PTA)\sb4,$ and $\rm Pt\sp0(PTA)\sb4$ with a standardized solution of HCl(0.1M) were performed to determine the respective pK$\rm\sb{a}$'s of the compounds. It was demonstrated that PTA when phosphorus bound to $\rm\lbrack M\sp{+2}\rbrack$ centers is less basic, i.e., has a lower pK$\rm\sb{a},$ than when correspondingly bound in $\rm\lbrack M\sp0\rbrack$ species. Furthermore, trends in basicity of the nitrogen atoms in PTA were established, where the basicity decreases in the following order: PTA-Pt complexes $$ their Pd analogs, and PTA $$ its oxide, O = PTA. A series of water-soluble transition-metal complexes, utilizing PTA and meta-sulfonatophenyldiphenylphosphine (TPPMS), were synthesized and their properties and reactivities were investigated. The complexes cis-$\rm PdCl\sb2(PTA)\sb2,\ \lbrack PdCl(PTA)\sb3\rbrack Cl,\ \lbrack Pd(PTAH)\sb4\rbrack Cl\sb4,\ \lbrack Pt(PTAH)\sb4\rbrack Cl\sb4,$ and $\rm\lbrack Ni(NO)(PTA)\sb3\rbrack BPh\sb4,$ have all been structurally characterized by single-crystal x-ray diffraction studies. NMR, infrared, and UV-visible spectoscopic techniques were employed to study the reactivities of the transition metal complexes in aqueous solution. Water-soluble analogs of Vaska's complex, trans-Ir(CO)Cl(PPh$\sb3)\sb2,$ were synthesized, and their reactivities were investigated in aqueous solution. The complex trans-Ir(CO)Cl(TPPMS)$\sb2$ has been structurally characterized by single-crystal x-ray diffraction studies. NMR, infrared, UV-visible spectrophotometric techniques, and pH titrametric measurements were employed to study the properties and reactivities of these complexes in aqueous solutions. Although generally similar in reactivity with acids and ethylene, the reactions of Ir(CO)Cl(TPPMS)$\sb2$ with dihydrogen and dioxygen are irreversible in water. This can be attributed to the interaction of water with both the metal complex and the substrate. ProQuest Subject Headings: Inorganic chemistry, Organic chemistry. Citation reproduced with permission of ProQuest LLC. AU - Decuir, Tara Jean DA - 1997 KW - Alkalinity Atoms Chlorine compounds Ethylene Inorganic compounds Iridium Ligands Metal complexes Metals Nitrogen Organometallics Palladium Palladium compounds Phosphorus Platinum Single crystals Solution mining Solutions Synthesis (chemical) Titration Transition metal compounds Transition metals X ray diffraction N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - ProQuest LLC PY - 1997 ST - Organometallic chemistry of low-valent d(8) and d(10) complexes in aqueous solution TI - Organometallic chemistry of low-valent d(8) and d(10) complexes in aqueous solution ID - 775 ER - TY - CONF AB - Similarity search service has always been one of the most popular topics in data mining. In recent years similarity search has been embedded in a more comprehensive framework and the semantic meanings behind meta paths play a crucial role in measuring similarity in heterogeneous information networks. PathSim has been considered one of the state-of-art models to find peer objects in the network. However, it only conducts similarity search in a global setting and the object attributes are not taken into consideration. In this paper, we propose OSim, a novel OLAP-based similarity search service solver. OSim is an attribute-enriched meta path-based measure to capture similarity based on object connectivity, visibility and features. A set of common attribute dimensions are defined across different types of objects and each dimension forms a hierarchical attribute tree. A path on the tree is represented by a node vector, pointing from the highest to a lowest level node. An object therefore can be described by a set of such node vectors. Online Analytical Processing techniques are further utilized in this framework to provide analysis in multiple resolutions and to improve search efficiency. Experiments show that our approaches improve search efficiency without compromising effectiveness. Springer International Publishing Switzerland 2016. AU - Niu, Xiaoguang AU - Zhang, Yihao AU - Huang, Ting AU - Wu, Xiaoping C3 - 11th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2016, August 8, 2016 - August 10, 2016 DA - 2016 DO - 10.1007/978-3-319-42836-9_47 KW - Arts computing data mining Efficiency Forestry Information services Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2016 SN - 03029743 SP - 536-547 ST - OSim: An OLAP-based similarity search service solver for dynamic information networks T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - OSim: An OLAP-based similarity search service solver for dynamic information networks UR - http://dx.doi.org/10.1007/978-3-319-42836-9_47 VL - 9798 ID - 930 ER - TY - JOUR AB - AIM: To determine whether kneeling or squatting for prolonged periods is sufficiently causally associated with an increased risk of injury or degenerative disease of the knee joint as to meet the classic criteria to be considered an occupational disease of coal miners for whom these are or have been routine working postures. METHOD: Systematic literature searches were made for studies relating to kneeling and squatting as part of the working environment of coal mines and the role of these postures in causation of knee disorders in coal miners, analogous occupations, populations, and communities. The working environment and potentially damaging forces on the knee when kneeling or squatting were described. Papers on the incidence or prevalence of knee disorders in occupational and other groups were scored against five criteria independently by each author, and from this a single consensus score representing the overall strength of evidence given by the research was awarded. The evidence was then weighed against the criteria for an occupational disease. RESULTS: Nineteen published papers were scored, the majority of which focussed on osteoarthritis as the outcome of interest. Few of the studies found focussed specifically on miners, and those that did tended to involve small numbers of subjects and were carried out before 1960, when the mining population was at its largest but epidemiological evidence of the risk factors for knee disorders was not well established. The non-mining studies in the review represent groups of workers with a similar or lesser kneeling content in their work. CONCLUSION: The papers reviewed provide sufficient evidence to conclude that work involving kneeling and/or squatting is causally associated with an increased risk of osteoarthritis of the knee. In some of the more recent epidemiologically sound studies, frequent or prolonged kneeling or squatting doubles the general risk of osteoarthritis of the knees found in the general population. This may be of particular importance in welfare and medico-legal situations. There was also evidence to suggest that lifting, in combination with kneeling/squatting, an activity also performed by miners in the course of their work, is associated with an excess risk of osteoarthritis above that attributed to kneeling/squatting alone. AN - 106383205. Language: English. Entry Date: 20060120. Revision Date: 20150711. Publication Type: Journal Article AU - McMillan, G. AU - Nichols, L. DA - 2005/08// DB - c8h DP - EBSCOhost IS - 8 J2 - Occupational & Environmental Medicine KW - Cartilage Diseases -- Physiopathology Computerized Literature Searching databases Descriptive Statistics Embase Funding Source Human Joint Diseases -- Etiology Joint Diseases -- Physiopathology Knee Joint -- Physiology Medline Menisci, Tibial -- Pathology mining Occupational Diseases -- Etiology Occupational Exposure -- Adverse Effects Osteoarthritis, Knee -- Etiology Posture Pressure Prevalence Protective Clothing Risk Factors Systematic review N1 - research; systematic review; tables/charts. Journal Subset: Biomedical; Blind Peer Reviewed; Europe; Expert Peer Reviewed; Peer Reviewed; UK & Ireland. Grant Information: Funded by the Union of Democratic Mineworkers. NLM UID: 9422759. PY - 2005 SN - 1351-0711 SP - 567-575 ST - Osteoarthritis and meniscus disorders of the knee as occupational diseases of miners T2 - Occupational & Environmental Medicine TI - Osteoarthritis and meniscus disorders of the knee as occupational diseases of miners UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=106383205&scope=site VL - 62 ID - 412 ER - TY - JOUR AB - New-onset diabetes might help to yield biomarkers for the early diagnosis of pancreatic cancer (PaC). In this study, we computationally predicted and experimentally validated osteoprotegerin (OPG) being associated with pancreatic cancer related new-onset diabetes. We first performed a meta-analysis on microarray datasets to search for genes specifically highly expressed in PaC, and then filtered for cytokines involved in islet dysfunction. The expression of OPG in PaC and normal pancreas were validated by immunohistochemistry. Serum OPG levels in healthy controls, non-cancerous diabetes and PaC patients with or without diabetes were detected by enzyme-linked immunosorbent assay (ELISA). In silico assay found that OPG up-regulated in PaC tissues in comparison to normal pancreas. Immunohistochemical data further confirmed that OPG was overexpressed in PaC samples. Furthermore, increased expression of OPG in PaC tissues correlated to the occurrence of new-onset diabetes, and adversely affected the patients' overall survival in both univariate and multivariate analysis. In addition, the serum levels of OPG were significantly higher in pancreatic cancer patients with new-onset diabetes than other groups including pancreatic patients without diabetes, new-onset type 2 diabetes and healthy controls. In conclusion, there is a close association between OPG and pancreatic cancer related new-onset diabetes, and OPG might serve as a potential biomarker for the early diagnosis of pancreatic cancer from populations with new-onset diabetes. AU - Shi, Wanchun AU - Qiu, Wei AU - Wang, Wenhua AU - Zhou, Xiaohui AU - Zhong, Xiaojing AU - Tian, Gang AU - Deng, Anmei DA - 2014/12//undefined DO - 10.5582/bst.2014.01092 IS - 6 J2 - Biosci Trends KW - Biomarkers, Tumor/*blood data mining Diabetes Mellitus, Type 2/blood/etiology/*physiopathology Gene Expression Regulation, Neoplastic/*physiology Humans Immunohistochemistry Kaplan-Meier Estimate Osteoprotegerin/*blood Pancreatic Neoplasms/blood/*complications/*physiopathology Protein Array Analysis LA - eng PY - 2014 SN - 1881-7823 1881-7815 SP - 322-326 ST - Osteoprotegerin is up-regulated in pancreatic cancers and correlates with cancer-associated new-onset diabetes T2 - Bioscience trends TI - Osteoprotegerin is up-regulated in pancreatic cancers and correlates with cancer-associated new-onset diabetes VL - 8 ID - 94 ER - TY - JOUR AB - Objective: To analyze which factors contribute to improvement in glycemic control in educational interventions in type 2 diabetes reported in randomized controlled trials (RCT) published in 2001-2005. Methods: Papers were extracted from Medline and Scopus using educational intervention and adults with type 2 diabetes as keywords. Inclusion criteria were RCT design. Data were analyzed with a data-mining program. Results: Of 464 titles extracted, 21 articles reporting 18 studies met the inclusion criteria. Data mining showed that for initial glycosylated hemoglobin (HbAlc) level <= 7.9% the diabetes education intervention achieved a small change in HbAlc level, or from +0.1 to -0.7%. For initial HbAlc >= 8.0%, a significant drop in HbAlc level of 0.8-2.5% was found. Data mining indicated that duration, educational content and intensity of education did not predict changes in HbAlc levels. Conclusion: Initial HbAlc level is the single most important factor affecting improvements in glycemic control in response to patient education. Data mining is an appropriate and sufficiently sensitive method to analyze outcomes of educational interventions. Diversity in conceptualization of interventions and diversity of instruments used for Outcome measurements could have hampered actual discovery of effective educational practices. Practice implications: Participation in educational interventions generally seems to benefit people with type 2 diabetes. Use of standardized instruments is encouraged as it gives better opportunities to identify conclusive results with consequent development of clinical guidelines. (C) 2007 Elsevier Ireland Ltd. All rights reserved. AU - Sigurdardottir, Arun K. AU - Jonsdottir, Helga AU - Benediktsson, Rafn DA - 2007/07// DO - 10.1016/j.pec.2007.03.007 IS - 1-2 PY - 2007 SN - 0738-3991 SP - 21-31 ST - Outcomes of educational interventions in type 2 diabetes: WEKA data-mining analysis T2 - Patient Education and Counseling TI - Outcomes of educational interventions in type 2 diabetes: WEKA data-mining analysis VL - 67 ID - 2045 ER - TY - JOUR AU - Sigurdardottir, Arun K. AU - Jonsdottir, Helga AU - Benediktsson, Rafn DA - 2007 DP - Google Scholar IS - 1 L1 - https://www.researchgate.net/profile/Helga_Jonsdottir2/publication/6402785_Outcomes_of_educational_interventions_in_type_2_diabetes_WEKA_data-mining_analysis/links/55f4044208ae6a34f66085cd.pdf PY - 2007 SP - 21-31 ST - Outcomes of educational interventions in type 2 diabetes T2 - Patient education and counseling TI - Outcomes of educational interventions in type 2 diabetes: WEKA data-mining analysis UR - http://www.sciencedirect.com/science/article/pii/S0738399107001012 https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.pec-journal.com%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLHj3ZzqSv9HPw%253D%253D%26MAID%3DABztnwWfyb14NE5%252F55o7hw%253D%253D%26JSESSIONID%3Daaa7zV12l3ORFeuixtvDv%26ORIGIN%3D837086645%26RD%3DRD&acw=&utt= VL - 67 Y2 - 2016/09/24/15:41:08 ID - 2388 ER - TY - JOUR AB - Introduction: The purpose of this systematic review was to compare the clinical and radiographic outcomes of nonsurgical retreatment with those of endodontic surgery to determine which modality offers more favorable outcomes. Methods: The study began with targeted electronic searches of MEDLINE, PubMed, and Cochrane databases, followed with exhaustive hand searching and citation mining for all articles reporting clinical and/or radiographic outcomes for at least a mean follow-up of 2 years for these procedures. Pooled and weighted success rates were determined from a meta-analysis of the data abstracted from the articles. Results: A significantly higher success rate was found for endodontic surgery at 2-4 years (77.8%) compared with nonsurgical retreatment for the same follow-up period (70.9%; P <.05). At 4-6 years, however, this relationship was reversed, with nonsurgical retreatment showing a higher success rate of 83.0% compared with 71.8% for endodontic surgery (P <.05). Insufficient numbers of articles were available to make comparisons after 6 years of follow-up period. Endodontic surgery studies showed a statistically significant decrease in success with each increasing follow-up interval (P <.05). The weighted success for 2-4 years was 77.8%, which declined at 4-6 years to 71.8% and further declined at 6+ years to 62.9% (P <.05). Conversely, the nonsurgical retreatment success rates demonstrated a statistically significant increase in weighted success from 2-4 years (70.9%) to 4-6 years (83.0%; P <.05). Conclusions: On the basis of these results it appears that endodontic surgery offers more favorable initial success, but nonsurgical retreatment offers a more favorable long-term outcome. (J Endod 2009;35:930-937) AU - Torabinejad, Mahmoud AU - Corr, Robert AU - Handysides, Robert AU - Shabahang, Shahrokh DA - 2009 DP - Google Scholar IS - 7 L1 - https://www.aae.org/uploadedfiles/publications_and_research/endodontics_colleagues_for_excellence_newsletter/fall2010_torabinejad_outcomes.pdf PY - 2009 SP - 930-937 ST - Outcomes of nonsurgical retreatment and endodontic surgery T2 - Journal of endodontics TI - Outcomes of nonsurgical retreatment and endodontic surgery: a systematic review UR - http://www.sciencedirect.com/science/article/pii/S0099239909003677 https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.jendodon.com%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLHj3ZzqSv9HPw%253D%253D%26MAID%3DABztnwWfyb14NE5%252F55o7hw%253D%253D%26JSESSIONID%3Daaa7zV12l3ORFeuixtvDv%26ORIGIN%3D924305905%26RD%3DRD&acw=&utt= VL - 35 Y2 - 2016/09/24/15:41:08 ID - 2389 ER - TY - CHAP AB - Background Background Some people believe that patients who take part in randomised controlled trials (RCTs) face risks that they would not face if they opted for non-trial treatment. Others think that trial participation is beneficial and the best way to ensure access to the most up-to-date physicians and treatments. This is an updated version of the original Cochrane review published in Issue 1, 2005. Objectives Objectives To assess the effects of patient participation in RCTs ('trial effects') independent both of the effects of the clinical treatments being compared ('treatment effects') and any differences between patients who participated in RCTs and those who did not. We aimed to compare similar patients receiving similar treatment inside and outside of RCTs. Search methods Search methods In March 2007, we searched The Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, The Cochrane Methodology Register, SciSearch and PsycINFO for potentially relevant studies. Our search yielded 7586 new references. In addition, we reviewed the reference lists of relevant articles. Selection criteria Selection criteria Randomized studies and cohort studies with data on clinical outcomes of RCT participants and similar patients who received similar treatment outside of RCTs. Data collection and analysis Data collection and analysis At least two review authors independently assessed studies for inclusion, assessed study quality and extracted data. Main results Main results We identified 30 new non-randomized cohort studies (45 comparisons): no new RCTs were found. This update now includes five RCTs (yielding 6 comparisons) and 80 non-randomized cohort studies (130 comparisons), with 86,640 patients treated in RCTs and 57,205 patients treated outside RCTs. In the randomised studies, patients were invited to participate in an RCT or not; these comparisons provided limited information because of small sample sizes (a total of 412 patients) and the nature of the questions they addressed. When the results of RCTs and non-randomized cohorts that reported dichotomous outcomes were combined, there were 98 comparisons; there was also heterogeneity (P < 0.00001, I2 = 42.2%) between studies. No statistical significant differences were found for 85 of the 98 comparisons. Eight comparisons reported statistically significant better outcomes for patients treated within RCTs, and five comparisons reported statistically significant worse outcomes for patients treated within RCTs. There was significant heterogeneity (P < 0.00001, I2 = 58.2%) among the 38 continuous outcome comparisons. No statistically significant differences were found for 30 of the 38 comparisons. Three comparisons reported statistically significant better outcomes for patients treated within RCTs, and five comparisons reported statistically significant worse outcomes for patients treated within RCTs. Authors' conclusions Authors' conclusions This review indicates that participation in RCTs is associated with similar outcomes to receiving the same treatment outside RCTs. These results challenge the assertion that the results of RCTs are not applicable to usual practice. AU - Vist, Gunn Elisabeth AU - Bryant, Dianne AU - Somerville, Lyndsay AU - Birminghem, Trevor AU - Oxman, Andrew D. DP - Wiley Online Library LA - en PB - John Wiley & Sons, Ltd PY - 2008 ST - Outcomes of patients who participate in randomized controlled trials compared to similar patients receiving similar interventions who do not participate T2 - Cochrane Database of Systematic Reviews TI - Outcomes of patients who participate in randomized controlled trials compared to similar patients receiving similar interventions who do not participate UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.MR000009.pub4/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.MR000009.pub4/full Y2 - 2016/09/18/20:19:23 ID - 440 ER - TY - JOUR AB - STATEMENT OF PROBLEM: Dentists and patients are regularly confronted by a difficult treatment question: should a tooth be saved through root canal treatment and restoration (RCT), be extracted without any tooth replacement, be replaced with a fixed partial denture (FPD) or an implant-supported single crown (ISC)? PURPOSE: The purpose of this systematic review was to compare the outcomes, benefits, and harms of endodontic care and restoration compared to extraction and placement of ISCs, FPDs, or extraction without tooth replacement. MATERIAL AND METHODS: Searches performed in MEDLINE, Cochrane, and EMBASE databases were enriched by hand searches, citation mining, and expert recommendation. Evidence tables were developed following quality and inclusion criteria assessment. Pooled and weighted mean success and survival rates, with associated confidence intervals, were calculated for single implant crowns, fixed partial dentures, and initial nonsurgical root canal treatments. Data related to extraction without tooth replacement and psychosocial outcomes were evaluated by a narrative review due to literature limitations. RESULTS: The 143 selected studies varied considerably in design, success definition, assessment methods, operator type, and sample size. Direct comparison of treatment types was extremely rare. Limited psychosocial data revealed the traumatic effect of loss of visible teeth. Economic data were largely absent. Success rates for ISCs were higher than for RCTs and FPDs, respectively; however, success criteria differed greatly among treatment types, rendering direct comparison of success rates futile. Long-term survival rates for ISCs and RCTs were similar and superior to those for FPDs. CONCLUSIONS: Lack of comparative studies with similar outcomes criteria with comparable time intervals limited comparison of these treatments. ISC and RCT treatments resulted in superior long-term survival, compared to FPDs. Limited data suggested that extraction without replacement resulted in inferior psychosocial outcomes compared to alternatives. Long-term, prospective clinical trials with large sample sizes and clearly defined outcomes criteria are needed. AU - Torabinejad, Mahmoud AU - Anderson, Patricia AU - Bader, Jim AU - Brown, L. Jackson AU - Chen, Lie H. AU - Goodacre, Charles J. AU - Kattadiyil, Mathew T. AU - Kutsenko, Diana AU - Lozada, Jaime AU - Patel, Rishi AU - Petersen, Floyd AU - Puterman, Israel AU - White, Shane N. DA - 2007/10//undefined DO - 10.1016/S0022-3913(07)60102-4 IS - 4 J2 - J Prosthet Dent KW - *Dental Implants, Single-Tooth *Dental Prosthesis, Implant-Supported *Denture, Partial, Fixed *Root Canal Therapy Cost-Benefit Analysis Crowns Dental Restoration Failure Dental Restoration, Permanent Humans Survival Analysis Tooth Extraction/*psychology Treatment Outcome LA - eng PY - 2007 SN - 0022-3913 0022-3913 SP - 285-311 ST - Outcomes of root canal treatment and restoration, implant-supported single crowns, fixed partial dentures, and extraction without replacement: a systematic review T2 - The Journal of prosthetic dentistry TI - Outcomes of root canal treatment and restoration, implant-supported single crowns, fixed partial dentures, and extraction without replacement: a systematic review VL - 98 ID - 235 ER - TY - JOUR AB - The paper surveys methods and approaches for the task of keyword extraction. The systematic review of methods was gathered which resulted in a comprehensive review of existing approaches. Work related to keyword extraction is elaborated for supervised and unsupervised methods, with a special emphasis on graph-based methods. Various graph-based methods are analyzed and compared. The paper provides guidelines for future research plans and encourages the development of new graph-based approaches for keyword extraction. AU - Beliga, S. AU - Mestrovic, A. AU - Martincic-Ipsic, S. DA - 2015/06// IS - 1 J2 - Journal of Information and Organizational Sciences KW - data mining Graph theory learning (artificial intelligence) PY - 2015 SN - 1846-3312 SP - 1-20 ST - An Overview of Graph-Based Keyword Extraction Methods and Approaches T2 - Journal of Information and Organizational Sciences TI - An Overview of Graph-Based Keyword Extraction Methods and Approaches VL - 39 ID - 713 ER - TY - JOUR AB - 1. Preference-performance relationships are thought to be particularly important for sessile herbivores, such as leaf miners, whose choice of host plant is entirely determined by the ovipositing female. However, this relationship has seldom been examined between a non-native herbivore and non-native host plants. 2. Leaf damage and oviposition patterns by the invasive horse-chestnut leaf miner, Cameraria ohridella Deschka & Dimic, 1986 (Lepidoptera: Gracillariidae), were investigated on 11 different species of Aesculus L. (Sapindaceae) at the Royal Botanic Gardens, Kew. The tree species studied were of different continental origin and belonged to four different sections of the genus Aesculus. 3. Oviposition was recorded on all the investigated species of Aesculus, with egg densities being greatest on Aesculus hippocastanum L. and Aesculus turbinata Blume. By contrast, mines were formed on only six out of the 11 studied species. 4. There was a positive correlation between eggs laid on leaves of a species and levels of leaf tissue damage by C. ohridella, although eggs were laid on species on which larvae did not develop. 5. Host suitability for C. ohridella was related to the phylogeny of the genus Aesculus. Species belonging to the section Aesculus were susceptible to the leaf miner; species in the section Pavia showed variable susceptibility; and species in the section Calothyrsus and Macrothyrsus were found to be resistant. AU - D'Costa, Lilla AU - Koricheva, Julia AU - Straw, Nigel AU - Simmonds, Monique S. J. DA - 2013/10// DO - 10.1111/een.12037 IS - 5 L1 - internal-pdf://1003886059/D'Costa-2013-Oviposition patterns and larval d.pdf PY - 2013 SN - 0307-6946 SP - 456-462 ST - Oviposition patterns and larval damage by the invasive horse-chestnut leaf miner Cameraria ohridella on different species of Aesculus T2 - Ecological Entomology TI - Oviposition patterns and larval damage by the invasive horse-chestnut leaf miner Cameraria ohridella on different species of Aesculus UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/een.12037/asset/een12037.pdf?v=1&t=itirdumz&s=d44a0b50ae0b2b88d8b38318c9be662e5cb52cde VL - 38 ID - 2261 ER - TY - CONF AB - One of the ways to face the abatement of CO2 emissions in power plants is the combustion of coal using oxy-fuel technology. In this case coal would be burned in a O2/CO2 atmosphere and the flue gas would consist mainly of CO2 which after condensation of water could be quasy-ready for storage. Most of the work related to oxy-fuel combustion has been applied to high volatile coals. In this study run of mine and single seam coals ranging in rank from low volatile bituminous to meta-anthracite have been burned under oxy-fuel combustion conditions. A drop tube furnace (DTF) operated at 1300 C with oxygen concentration in CO2 ranging from 0 to 30 % has been used to prepare the chars. The results have been compared with those of conventional combustion in air using the same DTF. Characterisation of chars included measurement of reactivity in a thermobalance at 550 C, determination micropore surface area by CO2 adsorption at 0C and the petrographic examination. The results indicated similar conversion under O2/CO2 and O2/N2 atmospheres for equivalent O2 concentration in the lowest rank members of the series whereas highest conversion under oxy-fuel combustion conditions were obtained for the highest ranked coals. The characteristics of the chars (CO2 Surface area and reactivity) were similar up to 10% oxygen concentration in the reacting gas and further increase in oxygen resulted in loss of porosity and reactivity. 10% O2 in CO2 is also the threshold for observing a significant drop in particle size. Optical microscopy revealed that the semi-anthracites still retained certain plasticity as seen by the development of devolatilisation voids. AU - Borrego, A. G. AU - Alvarez, D. AU - Fernandez-Dominguez, I. AU - Ballesteros, J. C. AU - Menendez, R. C3 - 24th Annual International Pittsburgh Coal Conference 2007, PCC 2007, September 10, 2007 - September 14, 2007 DA - 2007 KW - Anthracite Atmospheric composition Carbon dioxide Coal combustion Coal storage Flue gases Fuels Optical microscopy Oxygen Thermogravimetric analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Pittsburgh Coal Conference PY - 2007 SP - 927-934 ST - Oxy-combustion of high rank coals T3 - 24th Annual International Pittsburgh Coal Conference 2007, PCC 2007 TI - Oxy-combustion of high rank coals VL - 2 ID - 589 ER - TY - JOUR AU - van de Wetering, Rogier AU - Batenburg, Ronald DA - 2009 DP - Google Scholar IS - 2 PY - 2009 SP - 127-140 ST - A PACS maturity model T2 - International journal of medical informatics TI - A PACS maturity model: a systematic meta-analytic review on maturation and evolvability of PACS in the hospital enterprise UR - http://www.sciencedirect.com/science/article/pii/S1386505608001056 https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.ijmijournal.com%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLGliB%252BRW%252F74SA%253D%253D%26MAID%3DOkLs0xBQURD%252B%252BtWOY76KdA%253D%253D%26JSESSIONID%3DaaaZJK5fQKdrKh2ZIKwDv%26ORIGIN%3D418465607%26RD%3DRD&acw=&utt= VL - 78 Y2 - 2016/09/24/16:07:56 ID - 2443 ER - TY - CONF AB - This paper applies two-dimensional conditional random fields (2D CRF) to page analysis and information extraction. In this paper we discuss features and labels for information extraction by 2D CRF. We evaluated the method by applying it to the problem of extracting bibliographic components from scanned title pages of academic papers. The experimental results show that 2D CRF improves the performance of information extraction compared to chain-model CRF. AU - Takasu, A. C3 - 2nd International Conference on Pattern Recognition Applications and Methods. ICPRAM 2013, 15-18 Feb. 2013 DA - 2013 KW - bibliographic systems information retrieval meta data random processes PB - INSTICC Press PY - 2013 SP - 564-7 ST - Page Analysis by 2D Conditional Random Fields T3 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods. ICPRAM 2013 TI - Page Analysis by 2D Conditional Random Fields ID - 1257 ER - TY - JOUR AB - Understanding the molecular mechanisms associated with disease is a central goal of modern medical research. As such, many thousands of experiments have been published that detail individual molecular events that contribute to a disease. Here we use a semi-automated text mining approach to accurately and exhaustively curate the primary literature for chronic pain states. In so doing, we create a comprehensive network of 1,002 contextualized protein-protein interactions (PPIs) specifically associated with pain. The PPIs form a highly interconnected and coherent structure, and the resulting network provides an alternative to those derived from connecting genes associated with pain using interactions that have not been shown to occur in a painful state. We exploit the contextual data associated with our interactions to analyse subnetworks specific to inflammatory and neuropathic pain, and to various anatomical regions. Here, we identify potential targets for further study and several drug-repurposing opportunities. Finally, the network provides a framework for the interpretation of new data within the field of pain. (C) 2014 The Authors. Published by Elsevier B.V. on behalf of International Association for the Study of Pain. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). AU - Jamieson, Daniel G. AU - Moss, Andrew AU - Kennedy, Michael AU - Jones, Sherrie AU - Nenadic, Goran AU - Robertson, David L. AU - Sidders, Ben DA - 2014/11// DO - 10.1016/j.pain.2014.06.020 IS - 11 L1 - internal-pdf://2247052132/Jamieson-2014-The pain interactome_ Connecting.pdf PY - 2014 SN - 0304-3959 SP - 2243-2252 ST - The pain interactome: Connecting pain-specific protein interactions T2 - Pain TI - The pain interactome: Connecting pain-specific protein interactions UR - http://ac.els-cdn.com/S0304395914003091/1-s2.0-S0304395914003091-main.pdf?_tid=ae707eac-833b-11e6-ba2e-00000aacb35e&acdnat=1474820483_b9dbd5606462e07f0cb8e9d4b80c45a8 VL - 155 ID - 2196 ER - TY - JOUR AB - Uncovering the latent structure of the data is an active research topic in data mining. However, in the distance metric learning framework, previous studies have mainly focused on the classification performance. In this work, we consider the distance metric learning problem in the ranking setting, where predicting the order between the data vectors is more important than predicting the class labels. We focus on two problems: improving the ranking prediction accuracy and identifying the latent structure of the data. The core of our model consists of ranking the data using a Mahalanobis distance function. The additional use of non-negativity constraints and an entropy-based cost function allows us to simultaneously minimize the ranking error while identifying useful meta-features. To demonstrate its usefulness for information retrieval applications, we compare the performance of our method with four other methods on four UCI data sets, three text data sets, and four image data sets. Our approach shows good ranking accuracies, especially when few training data are available. We also use our model to extract and interpret the latent structure of the data sets. In addition, our approach is simple to implement and computationally efficient and can be used for data embedding and visualization. AU - Pessiot, Jean-Francois AU - Kim, Hyeryung AU - Fujibuchi, Wataru DA - 2013/08// DO - 10.1007/s10115-012-0574-x IS - 2 PY - 2013 SN - 0219-1377 SP - 459-487 ST - Pairwise ranking component analysis T2 - Knowledge and Information Systems TI - Pairwise ranking component analysis VL - 36 ID - 2114 ER - TY - JOUR AB - Manual curation of biomedical literature has become extremely tedious process due to its exponential growth in recent years. To extract meaningful information from such large and unstructured text, newer and more efficient mining tool is required. Here, we introduce PALM-IST, a computational platform that not only allows users to explore biomedical abstracts using keyword based text mining but also extracts biological entity (e.g., gene/protein, drug, disease, biological processes, cellular component, etc.) information from the extracted text and subsequently mines various databases to provide their comprehensive inter-relation (e.g., interaction, expression, etc.). PALM-IST constructs protein interaction network and pathway information data relevant to the text search using multiple data mining tools and assembles them to create a meta-interaction network. It also analyzes scientific collaboration by extraction and creation of "co-authorship network," for a given search context. Hence, this useful combination of literature and data mining provided in PALM-IST can be used to extract novel protein-protein interaction (PPI), to generate meta-pathways and further to identify key crosstalk and bottleneck proteins. PALM-IST is available at www.hpppi.iicb.res.in/ctm. AU - Mandloi, Sapan AU - Chakrabarti, Saikat DA - 2015/05/19/ DO - 10.1038/srep10021 PY - 2015 SN - 2045-2322 SP - 10021 ST - PALM-IST: Pathway Assembly from Literature Mining - an Information Search Tool T2 - Scientific Reports TI - PALM-IST: Pathway Assembly from Literature Mining - an Information Search Tool VL - 5 ID - 2075 ER - TY - JOUR AB - PURPOSE: To investigate the distribution of co-activation patterns of the recently identified ventral visual areas FG1 and FG2 of the posterior fusiform gyrus using the novel meta-analytic approach PaMiNI (Pattern Mining in NeuroImaging). MATERIALS AND METHODS: All neuroimaging experiments reporting activation foci within FG1 or FG2 were retrieved from the BrainMap database. The stereotaxic activation foci in standard reference space were analyzed with PaMiNI. Here, Gaussian mixture modeling was applied to the stereotaxic coordinates of all foci to identify the underlying brain regions of each dataset. Then, association analysis was performed to reveal frequent co-activations across the modeled brain regions. RESULTS: Co-activation patterns of FG1 were mainly found within the visual system, i.e. in early visual areas, and were symmetrically distributed across both hemispheres. FG2 features several extra-visual co-activations, mainly to inferior frontal, premotor and parietal regions. Furthermore, the co-activations of FG2 showed clear lateralization to the left FG2. CONCLUSION: FG1 shows characteristics of an intermediate visual area between the early ventral visual cortex and the category-specific higher-order areas. Co-activation patterns of FG2 indicate that FG2 is a higher-order visual area that probably corresponds to the posterior fusiform face area and partly the visual word-form area. Key points. Co-activation patterns of areas FG1 and FG2 were analyzed with PaMiNI. FG1 features mainly symmetric co-activations to areas of the visual system. FG2 shows several extra-visual co-activations, which are left-lateralized. FG1 corresponds to a hierarchically intermediate, FG2 to a higher-order visual area. The PaMiNI approach is extended to seed-specific mapping of co-activation patterns. AU - Caspers, J. AU - Eickhoff, S. B. AU - Amunts, K. AU - Antoch, G. AU - Zilles, K. DA - 2015/10//undefined DO - 10.1055/s-0041-105062 IS - 10 J2 - Rofo KW - Brain Mapping/methods Data Mining/methods Dominance, Cerebral/physiology Humans Nerve Net/physiology Pattern Recognition, Automated Temporal Lobe/*physiopathology Vision, Ocular/*physiology Visual Pathways/*physiology L1 - internal-pdf://2648102644/Caspers-2015-PaMiNI-Derived Co-Activation Patt.pdf LA - eng PY - 2015 SN - 1438-9010 1438-9010 SP - 892-898 ST - PaMiNI-Derived Co-Activation Patterns Indicate Differential Hierarchical Levels for Two Ventral Visual Areas of the Fusiform Gyrus T2 - RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin TI - PaMiNI-Derived Co-Activation Patterns Indicate Differential Hierarchical Levels for Two Ventral Visual Areas of the Fusiform Gyrus UR - https://www.thieme-connect.com/products/ejournals/pdf/10.1055/s-0041-105062.pdf VL - 187 ID - 121 ER - TY - CONF AB - Large-scale neuroimaging databases provide a rich fundus of functional neuroimaging experiments exhibiting maximum activation coordinates for specific task conditions. Aiming to explore major neuronal networks of the human brain, we developed a meta-analytic pattern-mining approach which combines Gaussian mixture modeling with the Apriori algorithm to identify frequent activation patterns within these databases. The approach has been implemented in the PaMiNI (PatternMining in NeuroImaging) system, providing manifold facilities for the finding, inspection, and analysis of relevant patterns. After briefly sketching the background of PaMiNI, we give an overview of the system and describe its architecture. Using an example application, a system walkthrough illustrates how PaMiNI can be used for the discovery of networks comprising functionally connected brain regions. 2012 IEEE. AU - Caspers, Julian AU - Zilles, Karl AU - Eickhoff, Simon B. AU - Beierle, Christoph C3 - 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012, June 20, 2012 - June 22, 2012 DA - 2012 DO - 10.1109/CBMS.2012.6266302 KW - Brain Functional Neuroimaging Neurons N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2012 SN - 10637125 ST - PaMiNI: A comprehensive system for mining frequent neuronal patterns of the human brain T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems TI - PaMiNI: A comprehensive system for mining frequent neuronal patterns of the human brain UR - http://dx.doi.org/10.1109/CBMS.2012.6266302 ID - 992 ER - TY - JOUR AB - BACKGROUND: Pancreatic cancer is the 5th leading cause of cancer death in both males and females. In recent years, a wealth of gene and protein expression studies have been published broadening our understanding of pancreatic cancer biology. Due to the explosive growth in publicly available data from multiple different sources it is becoming increasingly difficult for individual researchers to integrate these into their current research programmes. The Pancreatic Expression database, a generic web-based system, is aiming to close this gap by providing the research community with an open access tool, not only to mine currently available pancreatic cancer data sets but also to include their own data in the database. DESCRIPTION: Currently, the database holds 32 datasets comprising 7636 gene expression measurements extracted from 20 different published gene or protein expression studies from various pancreatic cancer types, pancreatic precursor lesions (PanINs) and chronic pancreatitis. The pancreatic data are stored in a data management system based on the BioMart technology alongside the human genome gene and protein annotations, sequence, homologue, SNP and antibody data. Interrogation of the database can be achieved through both a web-based query interface and through web services using combined criteria from pancreatic (disease stages, regulation, differential expression, expression, platform technology, publication) and/or public data (antibodies, genomic region, gene-related accessions, ontology, expression patterns, multi-species comparisons, protein data, SNPs). Thus, our database enables connections between otherwise disparate data sources and allows relatively simple navigation between all data types and annotations. CONCLUSION: The database structure and content provides a powerful and high-speed data-mining tool for cancer research. It can be used for target discovery i.e. of biomarkers from body fluids, identification and analysis of genes associated with the progression of cancer, cross-platform meta-analysis, SNP selection for pancreatic cancer association studies, cancer gene promoter analysis as well as mining cancer ontology information. The data model is generic and can be easily extended and applied to other types of cancer. The database is available online with no restrictions for the scientific community at http://www.pancreasexpression.org/. AU - Chelala, Claude AU - Hahn, Stephan A. AU - Whiteman, Hannah J. AU - Barry, Sayka AU - Hariharan, Deepak AU - Radon, Tomasz P. AU - Lemoine, Nicholas R. AU - Crnogorac-Jurcevic, Tatjana DA - 2007 DO - 10.1186/1471-2164-8-439 J2 - BMC Genomics KW - *Database Management Systems *Gene Expression Profiling *Information Storage and Retrieval *Models, Theoretical Humans Immunohistochemistry Internet Pancreas/*metabolism Pancreatic Neoplasms/*genetics L1 - internal-pdf://2273590853/Chelala-2007-Pancreatic Expression database_ a.pdf LA - eng PY - 2007 SN - 1471-2164 1471-2164 SP - 439 ST - Pancreatic Expression database: a generic model for the organization, integration and mining of complex cancer datasets T2 - BMC genomics TI - Pancreatic Expression database: a generic model for the organization, integration and mining of complex cancer datasets UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2216037/pdf/1471-2164-8-439.pdf VL - 8 ID - 324 ER - TY - JOUR AB - The Pancreatic Expression Database (PED, http://www.pancreasexpression.org) is the only device currently available for mining of pancreatic cancer literature data. It brings together the largest collection of multidimensional pancreatic data from the literature including genomic, proteomic, microRNA, methylomic and transcriptomic profiles. PED allows the user to ask specific questions on the observed levels of deregulation among a broad range of specimen/experimental types including healthy/patient tissue and body fluid specimens, cell lines and murine models as well as related treatments/drugs data. Here we provide an update to PED, which has been previously featured in the Database issue of this journal. Briefly, PED data content has been substantially increased and expanded to cover methylomics studies. We introduced an extensive controlled vocabulary that records specific details on the samples and added data from large-scale meta-analysis studies. The web interface has been improved/redesigned with a quick search option to rapidly extract information about a gene/protein of interest and an upload option allowing users to add their own data to PED. We added a user guide and implemented integrated graphical tools to overlay and visualize retrieved information. Interoperability with biomart-compatible data sets was significantly improved to allow integrative queries with pancreatic cancer data. AU - Dayem Ullah, Abu Z. AU - Cutts, Rosalind J. AU - Ghetia, Millika AU - Gadaleta, Emanuela AU - Hahn, Stephan A. AU - Crnogorac-Jurcevic, Tatjana AU - Lemoine, Nicholas R. AU - Chelala, Claude DA - 2014/01//undefined DO - 10.1093/nar/gkt959 IS - Database issue J2 - Nucleic Acids Res KW - *Databases, Genetic *Gene Expression Animals Humans Internet Mice Pancreas/*metabolism Pancreatic Neoplasms/*genetics/metabolism L1 - internal-pdf://1597141723/Dayem Ullah-2014-The pancreatic expression dat.pdf LA - eng PY - 2014 SN - 1362-4962 0305-1048 SP - D944-949 ST - The pancreatic expression database: recent extensions and updates T2 - Nucleic acids research TI - The pancreatic expression database: recent extensions and updates UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3965100/pdf/gkt959.pdf VL - 42 ID - 237 ER - TY - JOUR AB - Purpose - Melting universality, quantification and relative computability into a meta-synthesis, pansystems theory develops ail investigation on W-fuzziness and 0*-fuzziness connected with generalized conceptions such as derivative, equation, variational principle and OR. The purpose of this paper is to unify various mathematical structures, fuzziness categories, definitions of systems are unified within a general framework. Design/methodology/approach - The paper includes topics: pansystems approach to fuzzy systems and relations, pansystems variational principle and Zadeh's extension principle, pansystems clustering and its fuzzy embodiment, pansystems topology and approximation to fuzziness, relative unification of fuzziness and roughness. Findings - Zadeh extension principle about fuzziness transmission can be considered as a specific model of pansystems extremum principle, and so the more modes can be developed. Based on them a further investigation is present on pansystems clustering, which is a W-fuzzy clustering, an extension or sublation of traditional one and fuzzy one. Originality/value - Pansystems clustering embodies mutuality of many logoi of different subbraches with classification-styled OR, including related interpromotions of the principles among knowledge rediscovery, data mining, mathematical reasoning and the investigations of fuzzy systems. W-fuzziness and 0*-fuzziness realize a relative unification for many logoi and principles. AU - Sheng, Minglan DA - 2009 DO - 10.1108/03684920910973225 IS - 6 PY - 2009 SN - 0368-492X SP - 1021-1028 ST - Pansystems-based fuzzy systems relations and clustering T2 - Kybernetes TI - Pansystems-based fuzzy systems relations and clustering VL - 38 ID - 2056 ER - TY - JOUR AB - Parameter identification, model calibration, and uncertainty quantification are important steps in the model-building process, and are necessary for obtaining credible results and valuable information. Sensitivity analysis of hydrological model is a key step in model uncertainty quantification, which can identify the dominant parameters, reduce the model calibration uncertainty, and enhance the model optimization efficiency. There are, however, some shortcomings in classical approaches, including the long duration of time and high computation cost required to quantitatively assess the sensitivity of a multiple-parameter hydrological model. For this reason, a two-step statistical evaluation framework using global techniques is presented. It is based on (1) a screening method (Morris) for qualitative ranking of parameters, and (2) a variance-based method integrated with a meta-model for quantitative sensitivity analysis, i.e., the Sobol method integrated with the response surface model (RSMSobol). First, the Morris screening method was used to qualitatively identify the parameters' sensitivity, and then ten parameters were selected to quantify the sensitivity indices. Subsequently, the RSMSobol method was used to quantify the sensitivity, i.e., the first-order and total sensitivity indices based on the response surface model (RSM) were calculated. The RSMSobol method can not only quantify the sensitivity, but also reduce the computational cost, with good accuracy compared to the classical approaches. This approach will be effective and reliable in the global sensitivity analysis of a complex large-scale distributed hydrological model. Copyright 2013 Editorial Office of Water Science and Engineering. AU - Song, Xiao-Meng AU - Kong, Fan-Zhe AU - Zhan, Che-Sheng AU - Han, Ji-Wei AU - Zhang, Xin-Hua DA - 2013 DO - 10.3882/j.issn.1674-2370.2013.01.001 IS - 1 J2 - Water Science and Engineering KW - Calibration Climate models Hydrology Identification (control systems) Sensitivity analysis Surface properties Uncertainty analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 16742370 SP - 1-17 ST - Parameter identification and global sensitivity analysis of Xin'anjiang model using meta-modeling approach T2 - Water Science and Engineering TI - Parameter identification and global sensitivity analysis of Xin'anjiang model using meta-modeling approach UR - http://dx.doi.org/10.3882/j.issn.1674-2370.2013.01.001 VL - 6 ID - 1625 ER - TY - CONF AB - In this article, we present a novel statistical representation method for knowledge extraction from a corpus containing short texts. Then we introduce the contrast parameter which could be adjusted for targeting different conceptual levels in text mining and knowledge extraction. The method is based on second order co-occurrence vectors whose efficiency for representing meaning has been established in many applications, especially for representing word senses in different contexts and for disambiguation purposes. We evaluate our method on two tasks: classification of textual description of dreams, and classification of medical abstracts for systematic reviews. 2009 IEEE. AU - Razavi, Amir H. AU - Matwin, Stan AU - Inkpen, Diana AU - Kouznetsov, Alexandre C3 - 2009 IEEE International Conference on Data Mining Workshops, ICDMW 2009, December 6, 2009 - December 6, 2009 DA - 2009 DO - 10.1109/ICDMW.2009.49 KW - data mining knowledge representation Technical presentations N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2009 SP - 471-476 ST - Parameterized contrast in second order soft co-occurrences: A novel text representation technique in text mining and knowledge extraction T3 - ICDM Workshops 2009 - IEEE International Conference on Data Mining TI - Parameterized contrast in second order soft co-occurrences: A novel text representation technique in text mining and knowledge extraction UR - http://dx.doi.org/10.1109/ICDMW.2009.49 ID - 1332 ER - TY - CONF AB - The popularity of Web 2.0 has resulted in a large number of publicly available online consumer reviews created by a demographically diverse user base. Information about the authors of these reviews, such as age, gender and location, provided by many online consumer review platforms may allow companies to better understand the preferences of different market segments and improve their product design, manufacturing processes and marketing campaigns accordingly. However, previous work in sentiment analysis has largely ignored these additional user meta-data. To address this deficiency, in this paper, we propose parametric and non-parametric User-aware Sentiment Topic Models (USTM) that incorporate demographic information of review authors into topic modeling process in order to discover associations between market segments, topical aspects and sentiments. Qualitative examination of the topics discovered using USTM framework in the two datasets collected from popular online consumer review platforms as well as quantitative evaluation of the methods utilizing those topics for the tasks of review sentiment classification and user attribute prediction both indicate the utility of accounting for demographic information of review authors in opinion mining. AU - Yang, Zaihan AU - Kotov, Alexander AU - Mohan, Aravind AU - Lu, Shiyong C3 - 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015, August 9, 2015 - August 13, 2015 DA - 2015 DO - 10.1145/2766462.2767758 KW - Classification (of information) Commerce Consumer Behavior data mining Electronic commerce information retrieval Marketing Population statistics Product Design N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2015 SP - 413-422 ST - Parametric and non-parametric user-aware sentiment topic models T3 - SIGIR 2015 - Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval TI - Parametric and non-parametric user-aware sentiment topic models UR - http://dx.doi.org/10.1145/2766462.2767758 ID - 883 ER - TY - JOUR AB - OBJECTIVE: To assess the efficacy and safety of parenterally administered Shenqi Fuzheng for heart failure. METHOD: We searched for all clinical studies, up to February 2013, of parenterally administered Shenqi Fuzheng in the Cochrane library, Medline, EMbase, CBM, CNKI, VIP and Wanfang. Quality assessment and information extraction was completed and screened by two independent reviewers. The quality of the included studies was evaluated according to the Cochrane collaboration's tool for assessing risk of bias and allocation concealment. Revman 5. 2. 4 software was used for data analysis. RESULT: A total of 21 randomized controlled trials were included in this systematic review, all of them were of low quality. Meta-analysis showed that the group receiving parenterally administered Shenqi Fuzheng in addition to conventional treatment had better therapeutic effectiveness rates than the conventional treatment group [OR = 3.91, 95% Cl (2.63, 5.83)], with enhanced LVEF [MD = 0.08, 95% Cl (0.05, 0.12)], SV [MD = 9.42, 95% Cl (6.61, 12.22)], CI [MD = 0.60, 95% Cl (0.46,0.73)], CO [MD = 0.98, 95% Cl (0.61, 1.36)], reduced BNP [MD = -139.05, 95% Cl (-211.08, - 67.02)]. The ADR/ADE information of parenterally administered Shenqi Fuzheng in all studies showed that the symptoms of ADR/ADE were mild. CONCLUSION: Conclusions from this review may have a high risk of bias due to the low quality of thestudies. Hence, reliable conclusions cannot be drawn about the efficacy of parenterally administered Shenqi Fuzheng in the treatment of heart failure. More trials of high quality are required. AU - Shen, Hao AU - Ai, Qing-Hua AU - Xie, Yan-Ming AU - Hao, Yang AU - Hu, Jing AU - Zhang, Yue-Lun DA - 2013/09//undefined IS - 18 J2 - Zhongguo Zhong Yao Za Zhi KW - Adult Aged Drugs, Chinese Herbal/*administration & dosage/adverse effects Female Heart Failure/*drug therapy/physiopathology Humans Male Middle Aged Randomized Controlled Trials as Topic Treatment Outcome Young Adult LA - chi PY - 2013 SN - 1001-5302 1001-5302 SP - 3200-3208 ST - [Parenterally administered shenqi fuzheng for heart failure: a systematic review and meta-analysis] T2 - Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica TI - [Parenterally administered shenqi fuzheng for heart failure: a systematic review and meta-analysis] VL - 38 ID - 14 ER - TY - JOUR AB - Diagnosis of Parkinson's disease (PD) is currently assessed by the clinical evaluation of extrapyramidal signs. The identification of specific biomarkers would be advisable, however most studies stop at the discovery phase, with no biomarkers reaching clinical exploitation. To this purpose, we developed an automated literature analysis procedure to retrieve all the background knowledge available in public databases. The bioinformatic platform allowed us to analyze more than 51,000 scientific papers dealing with PD, containing information on 4121 proteins. Out of these, we could track back 35 PD-related proteins as present in at least two published 2-DE maps of human plasma. Then, 9 different proteins (haptoglobin, transthyretin, apolipoprotein A-1, serum amyloid P component, apolipoprotein E, complement factor H, fibrinogen gamma, thrombin, complement C3) split into 32 spots were identified as a potential diagnostic pattern. Eventually, we compared the collected literature data to experimental gels from 90 subjects (45 PD patients, 45 non-neurodegenerative control subjects) to experimentally verify their potential as plasma biomarkers of PD. AU - Alberio, Tiziana AU - Bucci, Enrico M. AU - Natale, Massimo AU - Bonino, Dario AU - Di Giovanni, Marco AU - Bottacchi, Edo AU - Fasano, Mauro DA - 2013/09/02/ DO - 10.1016/j.jprot.2013.01.025 J2 - J Proteomics KW - *Automatic Data Processing *Data Mining 2-DE Aged Biomarkers Biomarkers/blood Blood Proteins/*metabolism Female Humans Male Meta-analysis Middle Aged Parkinson Disease/*blood/diagnosis Parkinson's disease Plasma L1 - internal-pdf://2953234494/Alberio-2013-Parkinson's disease plasma biomar.pdf LA - eng PY - 2013 SN - 1876-7737 1874-3919 SP - 107-114 ST - Parkinson's disease plasma biomarkers: an automated literature analysis followed by experimental validation T2 - Journal of proteomics TI - Parkinson's disease plasma biomarkers: an automated literature analysis followed by experimental validation UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1874391913000559/1-s2.0-S1874391913000559-main.pdf?_tid=468893f6-832c-11e6-a32a-00000aab0f02&acdnat=1474813866_a787188577404b17c2c6ca06059998a4 VL - 90 ID - 185 ER - TY - CONF AB - There is a consensus that U. S. patent examiners, who are responsible for identifying prior art relevant to adjudication of patentability of patent applications, often lack the time, resources and/or experience necessary to conduct a dequateprior art search. This study aims to build an automatic and effective system of patent citation recommendation for patent examiners. In addition to focusing on content and bibliographic information, our proposed system considers another important piece of information that is known by patent examiners, namely, applicant citations. We integrate applicant citations and bibliographic information of patents into a heterogeneous citation bibliographic network. Based on this network, we explore metapaths based relationships between a query patent application and a candidate prior patent and classify them into two categories:(1) Bibliographic meta-paths, (2) Applicant Bibliographic metapaths. We propose a framework based on a two-phase ranking approach: the first phase involves selection of a candidate subset from the whole U. S. patent data, and the second phase uses supervised learning models to rank prior patents in the candidate subset. The results show that both bibliographic informationand applicant citation information are very useful for examiner citation recommendation, and that our approach significantly outperforms a search engine. AU - Tao-yang, Fu AU - Zhen, Lei AU - Wang-Chien, Lee C3 - 2015 IEEE International Conference on Data Mining (ICDM), 14-17 Nov. 2015 DA - 2015 DO - 10.1109/ICDM.2015.151 KW - Citation Analysis learning (artificial intelligence) patents Recommender systems PB - IEEE Computer Society PY - 2015 SP - 751-6 ST - Patent Citation Recommendation for Examiners T3 - 2015 IEEE International Conference on Data Mining (ICDM) TI - Patent Citation Recommendation for Examiners UR - http://dx.doi.org/10.1109/ICDM.2015.151 ID - 1070 ER - TY - JOUR AB - Investigation of foodborne diseases requires the capture and analysis of time-sensitive information on microbial pathogens that is derived from multiple analytical methods and sources. The web-based Pathogen-annotated Tracking Resource Network (PATRN) system (www.patrn.net) was developed to address the data aggregation, analysis, and communication needs important to the global food safety community for the investigation of foodborne disease. PATRN incorporates a standard vocabulary for describing isolate metadata and provides a representational schema for a prototypic data exchange standard using a novel data loading wizard for aggregation of assay and attribution information. PATRN currently houses expert-curated, high-quality foundational datasets consisting of published experimental results from conventional assays and next generation analysis platforms for isolates of Escherichia coli, Listeria monocytogenes, and Salmonella, Shigella, Vibrio and Cronobacter species. A suite of computational tools for data mining, clustering, and graphical representation is available. Within PATRN, the public curated data repository is complemented by a secure private workspace for user-driven analyses, and for sharing data among collaborators. To demonstrate the data curation, loading wizard features, and analytical capabilities of PATRN, three use-case scenarios are presented. Use-case scenario one is a comparison of the distribution and prevalence of plasmid-encoded virulence factor genes among 249 Cronobacter strains with similar attributes to that of nine Cronobacter isolates from recent cases obtained between March and October, 2010-2011. To highlight PATRN's data management and trend finding tools, analysis of datasets, stored in PATRN as part of an ongoing surveillance project to identify the predominant molecular serogroups among Cronobacter sakazakii isolates observed in the USA is shown. Use-case scenario two demonstrates the secure workspace available for private users to upload and analyze sensitive data, and for collating cross-platform datasets to identify and validate congruent datapoints. SNP datasets from WGS assemblies and pan-genome microarrays are analyzed in a combinatorial fashion to determine relatedness of 33 Salmonella enterica strains to six strains collected as part of an outbreak investigation. Use-case scenario three utilizes published surveillance results that describe the incidence and sources of O157:H7 E. coli isolates associated with a produce pre-harvest surveillance study that occurred during 2002-2006. In summary, PATRN is a web-based integrated platform containing tools for the management, analysis and visualization of data about foodborne pathogens. [All rights reserved Elsevier]. AU - Gopinath, G. AU - Hari, K. AU - Jain, R. AU - Mammel, M. K. AU - Kothary, M. H. AU - Franco, A. A. AU - Grim, C. J. AU - Jarvis, K. G. AU - Sathyamoorthy, V. AU - Hu, L. AU - Datta, A. R. AU - Patel, I. R. AU - Jackson, S. A. AU - Gangiredla, J. AU - Kotewicz, M. L. AU - LeClerc, J. E. AU - Wekell, M. AU - McCardell, B. A. AU - Solomotis, M. D. AU - Tall, B. D. DA - 2013/06// DO - 10.1016/j.fm.2013.01.001 IS - 2 J2 - Food Microbiology KW - data mining data structures Diseases food processing industry food safety Internet meta data pattern clustering L1 - internal-pdf://3514692743/Gopinath-2013-The Pathogen-annotated Tracking.pdf PY - 2013 SN - 0740-0020 SP - 303-18 ST - The Pathogen-annotated Tracking Resource Network (PATRN) system: A web-based resource to aid food safety, regulatory science, and investigations of foodborne pathogens and disease T2 - Food Microbiology TI - The Pathogen-annotated Tracking Resource Network (PATRN) system: A web-based resource to aid food safety, regulatory science, and investigations of foodborne pathogens and disease UR - http://dx.doi.org/10.1016/j.fm.2013.01.001 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0740002013000026/1-s2.0-S0740002013000026-main.pdf?_tid=8bf5b176-8336-11e6-8704-00000aab0f01&acdnat=1474818278_478b90a3e25307364515ab0a7bb8cfdb VL - 34 ID - 1611 ER - TY - JOUR AU - Ramanan, Vijay K. AU - Shen, Li AU - Moore, Jason H. AU - Saykin, Andrew J. DA - 2012 DP - Google Scholar IS - 7 PY - 2012 SP - 323-332 ST - Pathway analysis of genomic data T2 - TRENDS in Genetics TI - Pathway analysis of genomic data: concepts, methods, and prospects for future development UR - http://www.sciencedirect.com/science/article/pii/S0168952512000364 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3378813/ https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.cell.com%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLFhx%252B6Ws3Nrug%253D%253D%26MAID%3DqVhLRMHou5S1LjKdveWUPQ%253D%253D%26JSESSIONID%3DaaaC3k1K7lyaRemPgmwDv%26ORIGIN%3D525253278%26RD%3DRD&acw=&utt= VL - 28 Y2 - 2016/09/24/15:37:02 ID - 2349 ER - TY - JOUR AB - By running gene and pathway analyses for several smoking behaviours in the Tobacco and Genetics Consortium (TAG) sample of 74 053 individuals, 21 genes and several chains of biological pathways were implicated. Analyses were carried out using the HYbrid Set-based Test (HYST) as implemented in the Knowledge-based mining system for Genome-wide Genetic studies software. Fifteen genes are novel and were not detected with the single nucleotide polymorphism-based approach in the original TAG analysis. For quantity smoked, 14 genes passed the false discovery rate of 0.05 (corrected for multiple testing), with the top association signal located at the IREB2 gene (P=1.57E-37). Three genomic loci were significantly associated with ever smoked. The top signal is located at the noncoding antisense RNA transcript BDNF-AS (P=6.25E-07) on 11p14. The SLC25A21 gene (P=2.09E-08) yielded the top association signal in the analysis of smoking cessation. The 19q13 noncoding RNA locus exceeded the genome-wide significance in the analysis of age at initiation (P=1.33E-06). Pathways belonging to the Neuronal system pathways, harbouring the nicotinic acetylcholine receptor genes expressing the alpha (CHRNA 1-9), beta (CHRNB 1-4), gamma, delta and varepsilon subunits, yielded the smallest P-values in the pathway analysis of the quantity smoked (lowest P=4.90E-42). Additionally, pathways belonging to 'a subway map of cancer pathways' regulating the cell cycle, mitotic DNA replication, axon growth and synaptic plasticity were found significantly enriched for genetic variants in ever smokers relative to never smokers (lowest P=1.61E-07). In addition, these pathways were also significantly associated with the quantity smoked (lowest P=4.28E-17). Our results shed light on one of the world's leading causes of preventable death and open a path to potential therapeutic targets. These results are informative in decoding the biological bases of other disease traits, such as depression and cancers, with which smoking shares genetic vulnerabilities.Molecular Psychiatry advance online publication, 29 March 2016; doi:10.1038/mp.2016.20. AU - Minica, C. C. AU - Mbarek, H. AU - Pool, R. AU - Dolan, C. V. AU - Boomsma, D. I. AU - Vink, J. M. DA - 2016/03/29/ DO - 10.1038/mp.2016.20 J2 - Mol Psychiatry LA - Eng PY - 2016 SN - 1476-5578 1359-4184 ST - Pathways to smoking behaviours: biological insights from the Tobacco and Genetics Consortium meta-analysis T2 - Molecular psychiatry TI - Pathways to smoking behaviours: biological insights from the Tobacco and Genetics Consortium meta-analysis ID - 60 ER - TY - JOUR AB - INTRODUCTION: This study aimed to determine if data mining methodologies could identify reproducible predictors of dapagliflozin-specific treatment response in the phase 3 clinical program dataset. METHODS: Baseline and early treatment response variables were selected and data mining used to identify/rank all variables associated with reduction in glycated hemoglobin (HbA1c) at week 26. Generalized linear modeling was then employed using an independent dataset to identify which (if any) variables were predictive of dapagliflozin-specific treatment response as compared with treatment response in the study's control arm. The most parsimonious (i.e., simplest) model was validated by meta-analysis of nine other trials. This staged approach was used to minimize risk of type I errors. RESULTS: From the large dataset, 22 variables were selected for model generation as potentially predictive for dapagliflozin-specific reduction in HbA1c. Although baseline HbA1c was the variable most strongly associated with reduction in HbA1c at study end (i.e., the best prognostic variable), baseline fasting plasma glucose (FPG) was the only predictive dapagliflozin-specific variable in the model. Placebo-adjusted treatment effect of dapagliflozin plus metformin vs. metformin alone for change in HbA1c from baseline was -0.65% at the average baseline FPG of 192.3 mg/dL (10.7 mmol/L). This response changed by -0.32% for every SD [57.2 mg/dL (3.2 mmol/L)] increase in baseline FPG. Effect of baseline FPG was confirmed in the meta-analysis of nine studies, but the magnitude was smaller. No other variable was independently predictive of a dapagliflozin-specific reduction in HbA1c. CONCLUSIONS: This methodology successfully identified a reproducible baseline predictor of differential response to dapagliflozin. Although baseline FPG was shown to be a predictor, the effect size was not of sufficient magnitude to suggest clinical usefulness in identifying patients who would uniquely benefit from dapagliflozin treatment. The findings do support potential benefit for dapagliflozin treatment that is consistent with current recommended use. AU - Bujac, Sarah AU - Del Parigi, Angelo AU - Sugg, Jennifer AU - Grandy, Susan AU - Liptrot, Tom AU - Karpefors, Martin AU - Chamberlain, Chris AU - Boothman, Anne-Marie DA - 2014/12//undefined DO - 10.1007/s13300-014-0090-y IS - 2 J2 - Diabetes Ther L1 - internal-pdf://2577737062/Bujac-2014-Patient Characteristics are not Ass.pdf LA - eng PY - 2014 SN - 1869-6953 SP - 471-482 ST - Patient Characteristics are not Associated with Clinically Important Differential Response to Dapagliflozin: a Staged Analysis of Phase 3 Data T2 - Diabetes therapy : research, treatment and education of diabetes and related disorders TI - Patient Characteristics are not Associated with Clinically Important Differential Response to Dapagliflozin: a Staged Analysis of Phase 3 Data UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4269640/pdf/13300_2014_Article_90.pdf VL - 5 ID - 147 ER - TY - CONF AB - Pattern representation of knowledge is a close metaphor for the brain representation. This conclusion comes from developmental neurology, general brain research and cognitive psychology. Algebraic representations are sets, and computer representations are strings. Logic and uncertainty calculi are considered as meta-patterns. Basic difference between visual and knowledge representation patterns is the usually strange behavior of metric but this can be used for mining further knowledge in the direction of improving the metric. The paper discusses the main knowledge pattern relations, their forms of representation and some calculi of those. Similarities and differences to other representations are detailed and some statements are given on the advantages of the pattern view. The general philosophy was experimented on several projects. The major real life application was a neuro-developmental system but legal-social-psychological problems and economy analysis are also investigated by these means. The method has an obvious input combination with knowledge elicitation procedures and output to graphic representations for man-machine symbiosis. AU - Vamos, T. C3 - Proceedings of 12th European Meeting on Cybernetics and Systems Research. EMCSR 1994, 5-8 April 1994 DA - 1994 KW - data visualisation Knowledge acquisition knowledge representation PB - World Scientific PY - 1994 SP - 1863-70 ST - Pattern representation of knowledge T3 - Cybernetics and Systems '94. Proceedings of the Twelfth European Meeting on Cybernetics and Systems Research TI - Pattern representation of knowledge VL - vol.2 ID - 564 ER - TY - CONF AB - Competence management in collaborative networks depends on the identification of gaps between the actual performance and the desired behavior. Therefore, collaborative networks need means to express their goals and intentions as well as to measure this against their own performance. In this paper, we present the i*-based modeling framework for agent-oriented elicitation of dependencies and goal-orientation in collaborative networks. Moreover, we sketch a method to translate the resulting models into a pattern-oriented analysis framework, which allows to compare the models with social network analysis results on real media traces left by the networks while collaborating using social software. This results in the identification of hidden or missing competences within a network. We will illustrate the approach with examples from ongoing project work. Finally, we discuss a collection of collaborative patterns indicating which (meta-)competences can be acquired. 2010 IFIP. AU - Klamma, Ralf AU - Petrushyna, Zinayida C3 - 11th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2010, October 11, 2010 - October 13, 2010 DA - 2010 DO - 10.1007/978-3-642-15961-9_43 KW - Electric network analysis Network management Virtual corporation N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer New York PY - 2010 SN - 18684238 SP - 364-371 ST - Pattern-based competence management: On the gap between intentions and reality T3 - IFIP Advances in Information and Communication Technology TI - Pattern-based competence management: On the gap between intentions and reality UR - http://dx.doi.org/10.1007/978-3-642-15961-9_43 VL - 336 AICT ID - 641 ER - TY - JOUR AB - Preventing habitual smoking by young people forms an important goal of health promotion in schools. In achieving this target, information is needed about the age at which smoking becomes a temptation for young people as well as knowledge about the attitudes that are associated with smoking; At two elementary schools and at one grammar school in a community of a former coal-mining area, 985 German pupils aged 11-18 years were interviewed with the Youth Self Report (YSR) together with a questionnaire concerning their smoking habits. The rate of smoking among the pupils rose from the age group 11-15 years to the age group 16-18 years (in this age access to cigarettes is no longer restricted by law) from 12% to 63%; between the sexes there is no difference in smoking habits. According to the scales of the YSR in both types of school, smokers scored significantly higher on scales of "antisocial" and "aggressive behaviour". On the other hand non-smokers scored significantly higher on the scale "social problems". The significantly higher rate of smokers in both elementary schools compared with the corresponding rate in the grammar school will be interpreted by two interrelated explanations: the influence of lower social class as well as the lack of the deferred gratification pattern as an ingredient of the culture in elementary schools. The difference between smoking and non-smoking juveniles according to the scales of the YSR can be explained by the association of smoking behaviour with the juvenile culture of deviant groups on the one hand and by the attitudes of the non-smokers, who are more reluctant in joining peer groups. The results support a strategy for effectively preventing habitual smoking habits of juveniles in schools by combining youth activities inside and outside the schools. AU - Pruss, U. AU - Brandenburg, A. AU - von Ferber, C. AU - Lehmkuhl, G. DA - 2004/06//MAY IS - 5 PY - 2004 SN - 0032-7034 SP - 305-318 ST - Patterns of behaviour of juvenile smokers and non-smokers T2 - Praxis Der Kinderpsychologie Und Kinderpsychiatrie TI - Patterns of behaviour of juvenile smokers and non-smokers VL - 53 ID - 2277 ER - TY - JOUR AB - OBJECTIVE: To explore the most effective herbal combinations commonly used by highly experienced Chinese medicine (CM) physicians for the treatment of insomnia. METHODS: We collected and analyzed data related to insomnia treatment from the clinics of 7 highly experienced CM physicians in Beijing. The sample included 162 patients and 460 consultations in total. Patient outcomes, such as sleep quality and sleep time per day, were manually collected from the medical records by trained CM clinicians. Three data mining methods, support vector machine (SVM), logistic regression and decision tree, and multifactor dimensionality reduction (MDR), were used to determine and confirm the herbal combinations that resulted in positive outcomes in patients suffering from insomnia. RESULTS: Results show that MDR is the most efficient method to predict the effective herbal combinations. Using the MDR model, we identified several combinations of herbs with 100% positive outcomes, such as stir-fried spine date seed, Szechwan lovage rhizome, and prepared thinleaf milkwort root; white peony root, golden thread, and stir-fried spine date seed; and Asiatic cornelian cherry fruit with fresh rehmannia. CONCLUSIONS: Results indicate that herbal combinations are effective treatments for patients with insomnia compared with individual herbs. It is also shown that MDR is a potent data mining method to identify the herbal combination with high rates of positive outcome. AU - Zhou, Xue-zhong AU - Zhang, Run-shun AU - Shah, Jatin AU - Rajgor, Dimple AU - Wang, Ying-hui AU - Pietrobon, Ricardo AU - Liu, Bao-yan AU - Chen, Jie AU - Zhu, Jian-gui AU - Gao, Rong-lin DA - 2011/09//undefined DO - 10.1007/s11655-011-0841-9 IS - 9 J2 - Chin J Integr Med KW - *Clinical Competence *Medicine, Chinese Traditional *Physicians Adolescent Adult Aged Aged, 80 and over data mining Drugs, Chinese Herbal/*therapeutic use Drug Therapy, Combination Female Humans Male Middle Aged Outpatients Sleep Initiation and Maintenance Disorders/*drug therapy Treatment Outcome Young Adult LA - eng PY - 2011 SN - 1672-0415 1672-0415 SP - 655-662 ST - Patterns of herbal combination for the treatment of insomnia commonly employed by highly experienced Chinese medicine physicians T2 - Chinese journal of integrative medicine TI - Patterns of herbal combination for the treatment of insomnia commonly employed by highly experienced Chinese medicine physicians VL - 17 ID - 228 ER - TY - CONF AB - The proceedings contain 47 papers. The topics discussed include: WSMeta: a meta-model for web services to compare service interfaces; community structure, interaction and evolution analysis of online social networks around real-world social phenomena; eventsense: capturing the pulse of large-scale events by mining social media streams; Eventsense: capturing the pulse of large-scale events by mining social media streams; modeling and managing virtual network environments; deterministic under-sampling with error correction in OFDM systems; incorporating change detection in network coordinate systems for large data transfers; estimation of radio capacity of a spread spectrum cognitive radio Rayleigh fading system; inlined monitors for security policy enforcement in web applications; WIVSS: a new methodology for scoring information systems vulnerabilities; and an empirical study on efficiency and effectiveness of localized vs Latin-based CAPTCHA challenges. C3 - 17th Panhellenic Conference on Informatics, PCI 2013, September 19, 2013 - September 21, 2013 DA - 2013 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2013 SP - Aristotle-University of Thessaloniki; Alexander TEI of Thessaloniki; The University of Sheffield; University of Macedonia ST - PCI 2013 - 17th Panhellenic Conference in Informatics, Proceedings T3 - ACM International Conference Proceeding Series TI - PCI 2013 - 17th Panhellenic Conference in Informatics, Proceedings ID - 527 ER - TY - JOUR AB - Objectives: Data extraction from original study reports is a time-consuming, error-prone process in systematic review development. Information extraction (IE) systems have the potential to assist humans in the extraction task, however majority of IE systems were not designed to work on Portable Document Format (PDF) document, an important and common extraction source for systematic review. In a PDF document, narrative content is often mixed with publication metadata or semi-structured text, which add challenges to the underlining natural language processing algorithm. Our goal is to categorize PDF texts for strategic use by IE systems. Methods: We used an open-source tool to extract raw texts from a PDF document and developed a text classification algorithm that follows a multi-pass sieve framework to automatically classify PDF text snippets (for brevity, texts) into TITLE, ABSTRACT, BODYTEXT, SEMISTRUCTURE, and METADATA categories. To validate the algorithm, we developed a gold standard of PDF reports that were included in the development of previous systematic reviews by the Cochrane Collaboration. In a two-step procedure, we evaluated (1) classification performance, and compared it with machine learning classifier, and (2) the effects of the algorithm on an IE system that extracts clinical outcome mentions. Results: The multi-pass sieve algorithm achieved an accuracy of 92.6%, which was 9.7% (p 0.001) higher than the best performing machine learning classifier that used a logistic regression algorithm. F-measure improvements were observed in the classification of TITLE (+15.6%), ABSTRACT (+54.2%), BODYTEXT (+3.7%), SEMISTRUCTURE (+34%), and MEDADATA (+14.2%). In addition, use of the algorithm to filter semi-structured texts and publication metadata improved performance of the outcome extraction system (F-measure +4.1%, p = 0.002). It also reduced of number of sentences to be processed by 44.9% (p 0.001), which corresponds to a processing time reduction of 50% (p = 0.005). Conclusions: The rule-based multi-pass sieve framework can be used effectively in categorizing texts extracted from PDF documents. Text classification is an important prerequisite step to leverage information extraction from PDF documents. 2016 Elsevier Inc. AU - Bui, Duy Duc An AU - Del Fiol, Guilherme AU - Jonnalagadda, Siddhartha DA - 2016 DO - 10.1016/j.jbi.2016.03.026 J2 - Journal of Biomedical Informatics KW - Abstracting Algorithms artificial intelligence Classification (of information) Computational linguistics data mining Information analysis information retrieval information retrieval systems Learning algorithms Learning systems Metadata Natural language processing systems Sieves Text processing XML L1 - internal-pdf://2383132805/Bui-2016-PDF text classification to leverage i.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 15320464 SP - 141-148 ST - PDF text classification to leverage information extraction from publication reports T2 - Journal of Biomedical Informatics TI - PDF text classification to leverage information extraction from publication reports UR - http://dx.doi.org/10.1016/j.jbi.2016.03.026 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S153204641630017X/1-s2.0-S153204641630017X-main.pdf?_tid=dca3fc98-832e-11e6-882f-00000aab0f26&acdnat=1474814977_33a36d3ecfca71899a7ededac8b7fac6 VL - 61 ID - 1511 ER - TY - CONF AB - This paper describes how pedigree is used to support and enhance situation and threat assessment. It is based on the findings of the technology group of the Data Fusion Levels Two and Three Workshop sponsored by the Office of Naval Research held in Arlington, VA from 15-18 Nov. 2005. It identifies areas that need improvement in situation assessment and threat assessment, such as interoperability, automation, pedigree management, system usability, reliability, and uncertainty. The concept of pedigree must include "standard" metadata, lineage, plus a computational model of the quality of the information. The system must automatically propagate changes and update to derived products when source information or source-pedigree information changes. Several other processes must be automated: generate pedigree, identify and auto fill gaps, fuse pedigree, update pedigree, display of information quality and confidence. The paper concludes with suggestions for future research and development. AU - Ceruti, M. G. AU - Subrata, Das AU - Ashenfelter, A. AU - Raven, G. AU - Brooks, R. AU - Sudit, M. AU - Chen, G. AU - Wright, E. C3 - 2006 9th International Conference on Information Fusion, 10-13 July 2006 DA - 2006 KW - data mining meta data pattern clustering security of data sensor fusion uncertainty handling N1 -CD-ROM
PB - IEEE PY - 2006 SP - 8-pp. ST - Pedigree information for enhanced situation and threat assessment T3 - 2006 9th International Conference on Information Fusion TI - Pedigree information for enhanced situation and threat assessment ID - 963 ER - TY - CONF AB - The accuracy and appropriateness of an analysis often cannot be verified by the contemporary peer review process. Peer review is also unlikely to identify possible publication bias in situ (PBIS) (running many different statistical models but only reporting the results of one, often an outlier result). A review of articles reporting analyses of a cohort of Swedish construction workers revealed unacknowledged and unexplained variations in methodology, including the use of different variables measuring tobacco use, age and body mass index and a failure to adequately and accurately reference previous related articles about the cohort. Seemingly minor changes in methodology, such as the cutoffs used to convert continuous variables to categorical variables may result in significant changes to the results. These inconsistencies were likely not discovered during the peer review process as it would have required that reviewers conduct a systematic review of previous analyses of the dataset. Practical solutions to this dilemma include enhanced post publication review and ensuring that data are available for secondary analysis. AU - Heavner, Karyn AU - Phillips, Carl V. AU - Rodu, Brad C3 - 13th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2009, Jointly with the 15th International Conference on Information Systems Analysis and Synthesis, ISAS 2009, July 10, 2009 - July 13, 2009 DA - 2009 KW - Cybernetics data mining Data reduction INFORMATION science Information systems Management information systems Publishing Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Social Science Council,ISSC PY - 2009 SP - 261-266 ST - Peer review in epidemiology cannot accomplish its ostensible goals due to incomplete reporting and unverifiable analyses T3 - WMSCI 2009 - The 13th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 15th International Conference on Information Systems Analysis and Synthesis, ISAS 2009 - Proc. TI - Peer review in epidemiology cannot accomplish its ostensible goals due to incomplete reporting and unverifiable analyses VL - 1 ID - 692 ER - TY - CONF AB - The sharing and integration of health care data such as medical history, pathology, therapy, radiology images, etc., is a key requirement for improving the patient diagnosis and in general the patient care. Today, many EPR (Electronic Patient Record) systems are present both in the same or different health centers and record a huge amount of data regarding a patient. In most cases the care treatment of a patient involves different healthcare facilities, including the cares provided by the family doctors. Managing these data, typically petabytes or terabytes in size, and optimizing the applications (image analysis, data mining, etc.) for these architectures is one of the challenges that must be tackled. Therefore, there is a clear need for the design and implementation of new scalable approaches to deal with the associated information overload and cognitive complexity issues. A possible solution involves considering a simplification of data coming from different EPRs, in a structured schema, typically called a meta-EPR. Owing to the security of patient data, each health center manages its own meta-EPR whereas a framework integrates these data among different sites. This work addresses the issue of sharing and integrating health care data, proposing a meta-EPR, based on Peer-to-peer (P2P) technology for data fusion. We describe an implementation of a distributed information service, that shares meta-EPRs and provides aggregation of relevant clinical information about patients based on a structured P2P overlay. 2013 IEEE. AU - Mirto, Maria AU - Cafaro, Massimo AU - Aloisio, Giovanni C3 - 26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013, June 20, 2013 - June 22, 2013 DA - 2013 DO - 10.1109/CBMS.2013.6627813 KW - data fusion data integration Diagnosis Hospital data processing Information services Medical imaging Patient treatment N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SP - 343-348 ST - Peer-to-peer data discovery in health centers T3 - Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems TI - Peer-to-peer data discovery in health centers UR - http://dx.doi.org/10.1109/CBMS.2013.6627813 ID - 604 ER - TY - CONF AB - The growing importance of social media and heterogeneous relational data emphasizes to the fundamental problem of combining different sources of evidence (or modes) efficiently. In this work, we are considering the problem of people retrieval where the requested information consists of persons and not of documents. Indeed, the processed queries contain generally both textual keywords and social links while the target collection consists of a set of documents with social metadata. Traditional approaches tackle this problem by early or late fusion where, typically, a person is represented by two sets of features: a word profile and a contact/link profile. Inspired by cross-modal similarity measures initially designed to combine image and text, we propose in this paper new ways of combining social and content aspects for retrieving people from a collection of documents with social metadata. To this aim, we define a set of multimodal similarity measures between socially-labelled documents and queries, that could then be aggregated at the person level to provide a final relevance score for the general people retrieval problem. Then, we examine particular instances of this problem: author retrieval, recipient recommendation and alias detection. For this purpose, experiments have been conducted on the ENRON email collection, showing the benefits of our proposed approach with respect to more standard fusion and aggregation methods. AU - Mantrach, A. AU - Renders, J. M. C3 - International Conference on Knowledge Discovery and Information Retrieval (KDIR 2011), 26-29 Oct. 2011 DA - 2011 KW - data mining distributed databases Electronic mail feature extraction Image processing information retrieval meta data Pattern matching relational databases Social sciences text analysis PB - INSTICC Press PY - 2011 SP - 333-41 ST - People retrieval leveraging textual and social data T3 - Proceedings International Conference on Knowledge Discovery and Information Retrieval (KDIR 2011) TI - People retrieval leveraging textual and social data ID - 956 ER - TY - CONF AB - Metaheuristic-based data mining algorithms are frequently used in literature for discovering meaningful rules out of huge datasets. However, in the design criteria of these algorithms, the choice of objective functions affects the performance of the algoritm and classification accuracy. ABCMiner is one of these algorithms and is a classification rule learning algorithm based on a swarm based metaheuristic algorithm, Artificial Bee Colony algorithm. In this paper, the performances of two different objective functions on ABCMiner are evaluated. The experimental evaluation is conducted using real datasets. 2013 IEEE. AU - Koylu, Fehim AU - Celik, Mete AU - Karaboga, Dervis C3 - 2013 21st Signal Processing and Communications Applications Conference, SIU 2013, April 24, 2013 - April 26, 2013 DA - 2013 DO - 10.1109/SIU.2013.6531402 KW - Algorithms Classification (of information) data mining Signal processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2013 ST - Performance analysis of abcminer algorithm with different objective functions T3 - 2013 21st Signal Processing and Communications Applications Conference, SIU 2013 TI - Performance analysis of abcminer algorithm with different objective functions UR - http://dx.doi.org/10.1109/SIU.2013.6531402 ID - 1470 ER - TY - JOUR AB - The purpose of this study is the application of meta-heuristic algorithms and fuzzy logic in the optimization and clustering to predict the sawability of dimension stone. Survey and classification of dimension stones based on their physical and mechanical properties can be so impressive in the optimization of machine applications that are in this industry such as circular diamond saw block cutting machine. In this paper, physical and mechanical properties were obtained from laboratory testing on dimension stone block samples collected from 12 quarries located in Iran and their results were optimized and classified by one of the strongest meta-heuristic algorithms and fuzzy clustering technique. The clustering of dimension stone was determined by Lloyds algorithm (k-means clustering) based on imperialist competitive algorithm and fuzzy C-mean by MATLAB software. The hourly production rate of each studied dimension stones was considered as a criterion to evaluate the clustering efficacy. The results of this study showed that the Imperialist Competitive algorithm and fuzzy C-mean are very suitable for clustering with respect to the physical and mechanical properties of the dimension stone, and the results obtained showed the superiority of the ICA. 2016 The Natural Computing Applications Forum AU - Mikaeil, Reza AU - Haghshenas, Sina Shaffiee AU - Haghshenas, Sami Shaffiee AU - Ataei, Mohammad DA - 2016 DO - 10.1007/s00521-016-2557-4 KW - Algorithms Classification (of information) Cluster Analysis Clustering algorithms C (programming language) Fuzzy clustering Fuzzy Logic Heuristic algorithms Machinery MATLAB Mechanical properties Optimization Sawing Saws N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 09410643 SP - 1-10 ST - Performance prediction of circular saw machine using imperialist competitive algorithm and fuzzy clustering technique TI - Performance prediction of circular saw machine using imperialist competitive algorithm and fuzzy clustering technique UR - http://dx.doi.org/10.1007/s00521-016-2557-4 ID - 836 ER - TY - JOUR AB - Background: Unprotected sex work remains a major driver of HIV/sexually transmitted infection (STI) epidemics in many countries. STI treatment can lower disease burden, complications and prevalence of HIV cofactors. Periodic presumptive treatment (PPT) has been used with sex workers to reduce their high burden of largely asymptomatic STIs. The objective of this review is to assess benefits and harms of PPT among female sex workers. Methods: We searched MEDLINE for studies related to sex work and STIs during 1990-2010, extracted data from eligible studies in duplicate and conducted meta-analysis by study design using random effects models. Results: Two thousand, three hundred and fifteen articles were screened, 18 studies met inclusion criteria and 14 were included in meta-analyses. One published randomized controlled trial (RCT) reported significant reductions of gonorrhoea (Neisseria gonorrhoeae) [rate ratio (RR) 0.46, 95% confidence interval (CI) 0.31-0.68] and chlamydia (Chlamydia trachomatis) (RR 0.38, 95% CI 0.26-0.57), but no effect on serologic syphilis (RR 1.02, 95% CI 0.54-1.95). Similar results were seen for N. gonorrhoeae and C. trachomatis in pooled analyses, including data from one unpublished RCT and across study designs, and correlated with initial prevalence (R-2 = 0.155). One observational study reported genital ulcer disease (GUD) declines in sex workers, and two reported impact among male client populations for N. gonorrhoeae [odds ratio (OR) 0.60, 95% CI 0.38-0.94], C. trachomatis (OR 0.47, 95% CI 0.31-0.71) and GUD (OR 0.21, 95% CI 0.11-0.42). No studies reported evidence of risk compensation or antibiotic resistance. Conclusion: PPT can reduce prevalence of gonorrhoea, chlamydia and ulcerative STIs among sex workers in whom prevalence is high. Sustained STI reductions can be achieved when PPT is implemented together with peer interventions and condom promotion. Additional benefits may include impact on STI and HIV transmission at population level. (C) 2012 Wolters Kluwer Health | Lippincott Williams & Wilkins AIDS 2012, 26: 437-445 AU - Steen, Richard AU - Chersich, Matthew AU - Gerbase, Antonio AU - Neilsen, Graham AU - Wendland, Annika AU - Ndowa, Francis AU - Akl, Elie A. AU - Lo, Ying-Ru AU - de Vlas, Sake J. DA - 2012/02/20/ DO - 10.1097/QAD.0b013e32834ed991 IS - 4 PY - 2012 SN - 0269-9370 SP - 437-445 ST - Periodic presumptive treatment of curable sexually transmitted infections among sex workers: a systematic review T2 - Aids TI - Periodic presumptive treatment of curable sexually transmitted infections among sex workers: a systematic review VL - 26 ID - 1946 ER - TY - JOUR AN - 112356981. Language: English. Entry Date: 20160126. Revision Date: 20160721. Publication Type: Article. Journal Subset: Biomedical AU - Kogan, Alexis Coulourides AU - Wilber, Kathleen AU - Mosqueda, Laura DA - 2016/01// DB - c8h DO - 10.1111/jgs.13873 DP - EBSCOhost IS - 1 J2 - Journal of the American Geriatrics Society KW - Aged Aged, 80 and over Chronic Disease CINAHL Database Cochrane Library Community Health Services -- Utilization -- In Old Age Consumer Attitudes Data Analysis Software Data Mining -- Methods Decision Making, Patient Dementia Descriptive Statistics Functional Status Funding Source Home Health Care -- Utilization -- In Old Age Human Medline Nursing Models, Theoretical Organizational Culture Patient Centered Care -- In Old Age Patient Centered Care -- Standards Program Implementation PubMed P-Value Systematic review L1 - internal-pdf://2094613281/Kogan-2016-Person-Centered Care for Older Adul.pdf N1 - Peer Reviewed; USA. Special Interest: Evidence-Based Practice; Gerontologic Care. Grant Information: This work was supported by a grant from The SCAN Foundation (TSF).. NLM UID: 7503062. PY - 2016 SN - 0002-8614 SP - e1-e7 ST - Person-Centered Care for Older Adults with Chronic Conditions and Functional Impairment: A Systematic Literature Review T2 - Journal of the American Geriatrics Society TI - Person-Centered Care for Older Adults with Chronic Conditions and Functional Impairment: A Systematic Literature Review UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=112356981&scope=site http://onlinelibrary.wiley.com/store/10.1111/jgs.13873/asset/jgs13873.pdf?v=1&t=itiurps2&s=cd037ec96905a114221a13b0c0f8c18ae15f1317 VL - 64 ID - 393 ER - TY - CONF AB - The paper presents one of the main modules of HAMIS recommender system built for 34 business companies (clients) involved in heavy equipment repair in the US and Canada. This module is responsible for meta-actions discovery from a large collection of comments, written as text, collected from customers about their satisfaction with services provided by each client. Meta-actions, when executed, trigger action rules discovered from customers data which are in a table format. We specifically focus on the process of mining meta-actions, which consists of four representative and characteristic steps involving sentiment analysis and text summarization. Arranging these four steps in proposed order distinguishes our work from others and better serves our purpose. Compared to procedures presented in other works, each step in our procedure is adapted accordingly with respect to our own observations and knowledge of the domain. Results obtained from the experiments prove the high effectiveness of the proposed approach for mining meta-actions. Springer International Publishing Switzerland 2015. AU - Kuang, Jieyan AU - Ra, Zbigniew W. AU - Daniel, Albert C3 - 22nd International Symposium on Methodologies for Intelligent Systems, ISMIS 2015, October 21, 2015 - October 23, 2015 DA - 2015 DO - 10.1007/978-3-319-25252-0_9 KW - Customer satisfaction Intelligent systems Natural language processing systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 79-87 ST - Personalized meta-action mining for NPS improvement T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Personalized meta-action mining for NPS improvement UR - http://dx.doi.org/10.1007/978-3-319-25252-0_9 http://link.springer.com/chapter/10.1007%2F978-3-319-25252-0_9 VL - 9384 ID - 1646 ER - TY - CONF AB - In the context of the CAPTAIN MEMO memory prosthesis for elderly, we propose the PersonLink ontology for modeling, storing and reasoning on family relationships links. Rules are provided to infer new links and/or check inconsistencies in the inputs. On the one hand PersonLink is as generic as possible and is integrated in the linked data formalisms; on the other hand a prosthesis has to be adaptable to users. Thus the PersonLink ontology defines rigorously and precisely family relationships, and takes into account the differences that may exist between cultures/languages, including new relationships emerging in our societies nowadays. The transition from one culture/language to another one cannot be solved with a simple translation of terms, but refers to a meta-ontology and associated mechanisms. Springer International Publishing Switzerland 2015. AU - Herradi, Noura AU - Hamdi, Faycal AU - Metais, Elisabeth AU - Ghorbel, Fatma AU - Soukane, Assia C3 - 34th International Conference on Conceptual Modeling, ER 2015 and held with in Conceptual Modeling for Ambient Assistance and Healthy Ageing, AHA 2015, Conceptual Modeling of Services, CMS 2015, Event Modeling and Processing in Business Process Management, EMoV 2015, Modeling and Management of Big Data, MoBiD 2015, Modeling and Reasoning for Business Intelligence, MORE-BI 2015, Conceptual Modeling in Requirements Engineering and Business Analysis, MReBA 2015, Quality of Modeling and Modeling of Quality, QMMQ 2015, Symposium on Conceptual Modeling Education, SCME 2015, October 19, 2015 - October 22, 2015 DA - 2015 DO - 10.1007/978-3-319-25747-1_1 KW - Administrative data processing Big data data handling data mining Enterprise resource management Management science Prosthetics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 3-13 ST - Personlink: An ontology representing family relationships for the CAPTAIN MEMO memory prosthesis T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Personlink: An ontology representing family relationships for the CAPTAIN MEMO memory prosthesis UR - http://dx.doi.org/10.1007/978-3-319-25747-1_1 VL - 9382 ID - 830 ER - TY - JOUR AU - Almenoff, June AU - Tonning, Joseph M. AU - Gould, A. Lawrence AU - Szarfman, Ana AU - Hauben, Manfred AU - Ouellet-Hellstrom, Rita AU - Ball, Robert AU - Hornbuckle, Ken AU - Walsh, Louisa AU - Yee, Chuen AU - others DA - 2005 DP - Google Scholar IS - 11 L1 - https://www.researchgate.net/profile/A_Lawrence_Gould/publication/7534434_Perspectives_on_the_Use_of_Data_Mining_in_Pharmacovigilance/links/541849060cf203f155ada51a.pdf PY - 2005 SP - 981-1007 ST - Perspectives on the use of data mining in pharmacovigilance T2 - Drug safety TI - Perspectives on the use of data mining in pharmacovigilance UR - http://link.springer.com/article/10.2165/00002018-200528110-00002 VL - 28 Y2 - 2016/09/24/16:02:05 ID - 2401 ER - TY - JOUR AB - The Muteh mining district is located in 70 km northeast of Golpaygan city within the Sanandaj-Sirjan metamorphic belt. There are 2 gold mines, 7 gold occurrences and numerous mineral indices in the Muteh gold district. There are few researches on Muteh gold district, but a detailed model is not clear yet. The aim of this study is to determine mineralogy of gold-bearing rocks and the role of these rocks in concentration of gold and to improve our knowledge about Muteh model. Detailed fieldwork carried out at different scales at the Muteh district. About 50 outcrops samples examined petrographically. Fifteen samples containing veinlets of sulfides and quartz selected for H, O and S stable isotope analysis. Petrography characterized by optical microscopy, scanning electron microscopy (SEM) and X-ray powder diffraction (XRD) analysis. Geological studies indicated that the study area show a major poly-phase metamorphism. Since the latest metamorphism was weaker than the earlier ones, the older rocks were affected by more intense metamorphism. The metamorphic rocks mainly consist of schists, quartzite, marble, amphibolite and gneisses. These rocks show two foliations (S1 and S2). The S2 foliation is the major phase in the metamorphic rocks. Pyrite is the most abundant and the important gold-bearing mineral at the study area. Based on evidences of deformation (S2) and crystallization, three main types of pyrites can be distinguished in the Muteh deposit: (1) pre-tectonic or gold bearing pyrite (2) syn-tectonic or disseminated pyrites along the foliation of the host rocks. (3) pyrite aggregates in the host rocks or in the metamorphic segregation quartz veins crosscutting the foliation of the host rocks. The sulfur isotope studies were carried out on pyrites within quartz veinlets, biotite schist and meta-volcanic rocks at the Muteh deposit. Five available data are highly variable even from the same types of hosted rocks and their 34S are +2.2, 6.6, 9.1, 13.9 and 16.9 0/00. There are three generations of pyrite in Muteh gold district. According to isotope data, it seems that source of sulfurs were not homogenous. The values showed more than one geological event for generation of pyrites in the study area. Compositions of sulfur isotopes indicated several different sources or processes for the sulfide fluids. The sulfur of these pyrites might have derived either directly from regional metamorphism that produced the metamorphic fluid or through dissolution and leaching of pre-existing sulfide-bearing minerals. AU - Abdollahi, M. J. AU - Karimpour, M. H. AU - Kheradmand, A. DA - 2009 DO - 10.3844/ajassp.2009.1086.1092 IS - 6 J2 - American Journal of Applied Sciences KW - Geochemistry Gold Petrology Quartz Rocks L1 - internal-pdf://3172686010/Abdollahi-2009-Petrography and sulphur isotope.pdf PY - 2009 SN - 1546-9239 SP - 1086-92 ST - Petrography and sulphur isotope studies of pyrites in the Muteh gold deposit T2 - American Journal of Applied Sciences TI - Petrography and sulphur isotope studies of pyrites in the Muteh gold deposit UR - http://dx.doi.org/10.3844/ajassp.2009.1086.1092 http://thescipub.com/PDF/ajassp.2009.1086.1092.pdf VL - 6 ID - 741 ER - TY - JOUR AB - Sized samples of anthracite were obtained from three preparation plants (breakers), several beneficiating multiple coals, in the Pennsylvania Anthracite Fields. Vitrinite reflectance spans 5.07% Rmax(anthracite, approaching meta-anthracite) in the east to 2.36% Rmax(semi-anthracite) in the west. Maceral distributions do not show the size partitioning observed in many bituminous coals. All sites showed distinct Gd anomalies, possibly a function of hydrothermal metamorphism of the coals. The rare earth distribution pattern (L-, M-, and H-type) within the products from each breaker are similar. Principal components analysis confirmed an observation from the latter assessment that coals from the same breaker tend to cluster together, but distinct from the clusters of the other breakers. 2016 Elsevier Ltd AU - Hower, James C. AU - Dai, Shifeng DA - 2016 DO - 10.1016/j.fuel.2016.07.055 J2 - Fuel KW - Anthracite Bituminous coal Coal Principal Component Analysis Rare earth elements Rare earths L1 - internal-pdf://2328710161/Hower-2016-Petrology and chemistry of sized Pe.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 00162361 SP - 305-315 ST - Petrology and chemistry of sized Pennsylvania anthracite, with emphasis on the distribution of rare earth elements T2 - Fuel TI - Petrology and chemistry of sized Pennsylvania anthracite, with emphasis on the distribution of rare earth elements UR - http://dx.doi.org/10.1016/j.fuel.2016.07.055 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0016236116306585/1-s2.0-S0016236116306585-main.pdf?_tid=c673dfae-833a-11e6-8d3b-00000aacb360&acdnat=1474820094_4af5c71b7c0fde8d3f1d8a470119be31 VL - 185 ID - 771 ER - TY - JOUR AB - Rationale, aims and objectivesPharmacovigilance (PV), or drug safety monitoring, aims to improve patient safety through the detection and management of drug-related adverse reactions. It is implemented both by spontaneous reporting of adverse drug reactions (ADRs) and by careful detection of signals suggestive of drug toxicity. PV is an important clinical topic in clinical practice and pharmacotherapy, assuring the maintenance of a safe risk/benefit ratio throughout the commercial life cycle of a drug. MethodsWe conducted a structured literature search on PubMed, Scopus, Cinahl and the Cochrane Library. We also performed manual searches in international databases of ADR individual reports to outline a structured profile on the topic. Our goal was to review key elements that affect safety monitoring of cancer drugs and their appropriate use, highlighting the strengths and weaknesses of PV in oncology. ResultsThis paper provides an understanding of the methodologies used by PV in current clinical practice and particularly in cancer drug therapy; a focus upon reporting of ADRs by health professionals and patients; and a focus upon methods used by PV to detect new signals of risk/harm related to medicines utilization. ConclusionTo our knowledge, few articles focus upon the importance of PV and post-marketing surveillance of cancer drug therapies. Structured management of spontaneous reports of ADRs and data collection is essential to monitoring the safe use of drugs in this field in which pharmacotherapy is affected by high incidence of drug-related complications and by a narrow benefit/risk ratio. AU - Baldo, Paolo AU - De Paoli, Paolo DA - 2014/10// DO - 10.1111/jep.12184 IS - 5 L1 - internal-pdf://1504569917/Baldo-2014-Pharmacovigilance in oncology_ eval.pdf PY - 2014 SN - 1356-1294 SP - 559-569 ST - Pharmacovigilance in oncology: evaluation of current practice and future perspectives T2 - Journal of Evaluation in Clinical Practice TI - Pharmacovigilance in oncology: evaluation of current practice and future perspectives UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/jep.12184/asset/jep12184.pdf?v=1&t=itiq972q&s=3c33dc5bc513eab1cb33997e6dafc8e5df5c6099 VL - 20 ID - 2067 ER - TY - JOUR AB - Calcium aluminate is the main constituent in calcium aluminate cements, used in a wide range of applications in construction and mining industries and recently also as biomedical implant. In applications that demand very precise reaction features, such as the biomedical ones, the phase purity is of very high importance. In this paper the formation of CaAl2O4 from CaCO3-Al2O3 powder mixtures has been studied, varying holding times between 1 and 40 h and temperatures between 1300 and 1500 degrees C. Phase formation was studied in samples both quenched from the holding temperatures and in samples slowly cooled. Samples were characterized by X-ray powder diffraction (XRPD), using Guinier-Hagg film data and the Rietveld method, and scanning (SEM) and transmission (TEM) electron microscopy. Samples for TEM with very high site accuracy were produced using focused ion beam microscopy. In addition to CA (CaAl2O4) the samples contained major amounts of CA(2) (CaAl4O7), C(12)A(7) (Ca12Al14O33) and minor amounts of un-reacted A (Al2O3). Trace amounts of C(3)A (Ca3Al2O6) were observed only for samples heated to 1500 degrees C. The amount of the Ca-rich phase C(12)A(7) was found to decrease with time as it reacts with A and, to a less degree, CA(2) to form CA. In agreement with previous studies the amount of CA(2) formed decreases comparatively slowly with time. Its un-reactivity is due to that it is concentrated in isolated porous regions of sizes up to 100 mu m. The formation of the Ca aluminates is found to be in response to local equilibriums within small inhomogeneous regions, with no specific phase acting as an intermediate phase. Samples quenched from 1500 degrees C were found to contain smaller amounts of poorly crystallized phases. A reaction between C and A takes place already at 900 degrees C, forming a meta-stable orthorhombic modification of CA. The orthorhombic unit cell with a = 8.732(2) b = 8.078(2) angstrom, c = root 3 center dot a = 15.124(4) angstrom was verified by electron diffraction, revealing frequent twinning and disorder of the crystallites. (c) 2007 Elsevier Ltd. All rights reserved. AU - Iftekhar, Shahriar AU - Grins, Jekabs AU - Svensson, Gunnar AU - Loof, Jesper AU - Jarmar, Tobias AU - Botton, Gianluigi A. AU - Andrei, Carmen M. AU - Engqvist, Hakan DA - 2008 DO - 10.1016/j.jeurceramsoc.2007.08.012 IS - 4 L1 - internal-pdf://1281944976/Iftekhar-2008-Phase formation of CaAl2O4 from.pdf PY - 2008 SN - 0955-2219 SP - 747-756 ST - Phase formation of CaAl2O4 from CaCO3-Al2O3 powder mixtures T2 - Journal of the European Ceramic Society TI - Phase formation of CaAl2O4 from CaCO3-Al2O3 powder mixtures UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0955221907005237/1-s2.0-S0955221907005237-main.pdf?_tid=70b6524e-833b-11e6-a8a8-00000aab0f6c&acdnat=1474820380_02ff128f242cfcc2a784b8b23453a819 VL - 28 ID - 2175 ER - TY - CONF AB - To better understand the physics that govern the precipitation of meta-stable phases in aluminum alloy, including precipitation kinetics, crystal structure, morphological evolution and particle size distribution of precipitates, the coarsening kinetics of precipitates in a ternary Al-Si-Mg alloy was studied using phase-field simulations. The bulk thermodynamic information and atomic diffusion mobility was obtained from the first principle calculation, CALPHAD, as well as experiments, while the experimental values for the interfacial and elastic energy are directly employed in the phase-field model. The morphological evolution and average precipitate size are predicted as a function of time for a given temperature and composition. Comparison of the phase-field simulation results with experiments shows good quantitative agreement in both time and length scales. AU - Gao, Zhiqiang AU - Liao, Hengcheng AU - Dong, Ke AU - Wang, Qigui C3 - 1st World Congress on Integrated Computational Materials Engineering, ICME, July 10, 2011 - July 14, 2011 DA - 2011 KW - Aluminum Aluminum alloys Cerium alloys Crystal structure Experiments Particle size analysis Precipitates Precipitation (chemical) Silicon Silicon alloys Ternary systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - John Wiley and Sons Inc. PY - 2011 SP - 69-73 ST - Phase-field simulation and experimental study of precipitates in an Al-Si-Mg alloy T3 - Proceedings of the 1st World Congress on Integrated Computational Materials Engineering, ICME TI - Phase-field simulation and experimental study of precipitates in an Al-Si-Mg alloy ID - 519 ER - TY - JOUR AU - Yu, Wei AU - Clyne, Melinda AU - Khoury, Muin J. AU - Gwinn, Marta DA - 2010 DP - Google Scholar IS - 1 PY - 2010 SP - 145-146 ST - Phenopedia and Genopedia T2 - Bioinformatics TI - Phenopedia and Genopedia: disease-centered and gene-centered views of the evolving knowledge of human genetic associations UR - http://bioinformatics.oxfordjournals.org/content/26/1/145.short http://bioinformatics.oxfordjournals.org/content/26/1/145.full VL - 26 Y2 - 2016/09/24/15:39:07 ID - 2372 ER - TY - JOUR AB - To characterize protein phosphorylation in developing seed, a large-scale, mass spectrometry-based phosphoproteomic study was performed on whole seeds at five sequential stages of development in soybean (Glycine max), rapeseed (Brassica napus), and Arabidopsis (Arabidopsis thaliana). Phosphopeptides were enriched from 0.5 mg of total peptides using a combined strategy of immobilized metal affinity and metal oxide affinity chromatography. Enriched phosphopeptides were analyzed by Orbitrap tandem mass spectrometry and mass spectra mined against cognate genome or cDNA databases in both forward and randomized orientations, the latter to calculate false discovery rate. We identified a total of 2,001 phosphopeptides containing 1,026 unambiguous phosphorylation sites from 956 proteins, with an average false discovery rate of 0.78% for the entire study. The entire data set was uploaded into the Plant Protein Phosphorylation Database (www.p3db.org), including all meta-data and annotated spectra. The Plant Protein Phosphorylation Database is a portal for all plant phosphorylation data and allows for homology-based querying of experimentally determined phosphosites. Comparisons with other large-scale phosphoproteomic studies determined that 652 of the phosphoproteins are novel to this study. The unique proteins fall into several Gene Ontology categories, some of which are overrepresented in our study as well as other large-scale phosphoproteomic studies, including metabolic process and RNA binding; other categories are only overrepresented in our study, like embryonic development. This investigation shows the importance of analyzing multiple plants and plant organs to comprehensively map the complete plant phosphoproteome. AU - Meyer, Louis J. AU - Gao, Jianjiong AU - Xu, Dong AU - Thelen, Jay J. DA - 2012/05// DO - 10.1104/pp.111.191700 IS - 1 PY - 2012 SN - 0032-0889 SP - 517-528 ST - Phosphoproteomic Analysis of Seed Maturation in Arabidopsis, Rapeseed, and Soybean T2 - Plant Physiology TI - Phosphoproteomic Analysis of Seed Maturation in Arabidopsis, Rapeseed, and Soybean VL - 159 ID - 2229 ER - TY - JOUR AB - Assessing the effects of nutrient addition on organic matter decomposition in tropical tree plantations is essentially important because of the increasing importance of the afforestation along with the increases in the intensified management practices and fertilizer use. We tested the effects of phosphorus (P) addition on microbial respiration during the decomposition of Acacia mangium litters and leaves by using an incubation experiment. Following hypotheses were examined: (i) P addition reduces microbial respiration during the litter decomposition if labile carbon (C) and nitrogen (N) are little; while (ii) the effect is not clear in the fresh leaf decomposition due to the large amount of labile C and N. P addition significantly reduced the rates of microbial respiration during the litter decomposition, with the following possible mechanisms; (i) decrease in C or N investment in phosphatase due to the reduced P requirement makes microbes decompose fewer litters to get C or N, (ii) P addition improved microbial respiratory efficiency and reduced energy required to maintain microbial activity. Meanwhile in high-quality leaf, such decrease in microbial respiration rates during the decomposition by P addition did not occur. We suggested that P fertilization in fast-growing tree plantations in tropics may reduce organic matter decomposition. Since the present study is a short-term incubation study, longer studies or field experiments are required to fully understand the effects of P addition on the organic matter decomposition in P-limited tropical forests. AU - Mori, Taiki AU - Ishizuka, Shigehiro AU - Konda, Ryota AU - Wicaksono, Agus AU - Heriyanto, Joko AU - Hardjono, Arisman AU - Ohta, Seiichi DA - 2015/12/01/ DO - 10.3759/tropics.24.113 IS - 3 PY - 2015 SN - 1882-5729 SP - 113-118 ST - Phosphorus addition reduced microbial respiration during the decomposition of Acacia mangium litter in South Sumatra, Indonesia T2 - Tropics TI - Phosphorus addition reduced microbial respiration during the decomposition of Acacia mangium litter in South Sumatra, Indonesia VL - 24 ID - 2132 ER - TY - JOUR AB - Increasing soil organic carbon (SOC) in agricultural soils can mitigate atmospheric CO2 concentration and also contribute to increased soil fertility and ecosystem resilience. The role of major nutrients in SOC dynamics is complex, due to simultaneous effects on net primary productivity (NPP) that influence crop residue carbon inputs and in the rate of heterotrophic respiration (carbon outputs). This study investigated the effect on SOC stocks of three different levels of phosphorus and potassium (PK) fertilisation rates in the absence of nitrogen fertilisation and of three different levels of nitrogen fertiliser in the absence of PK fertiliser. This was done by analysing data from 10 meta-replicated Swedish long-term field experiments (> 45 years). With N fertilisation, SOC stocks followed yield increases. However, for all PK levels, we found average SOC losses ranging from 0.04 +/- 0.09 Mg ha(-1) yr(-1) (ns) for the lowest to 0.09 +/- 0.07 Mg ha(-1) yr(-1) (p = 0.008) for the highest application rate, while crop yields as a proxy for carbon input increased significantly with PK fertilisation by 1, 10 and 15 %. We conclude that SOC dynamics are mainly output-driven in the PK-fertilised regime but mostly input-driven in the N-fertilised regime, due to the much more pronounced response of NPP to N than to PK fertilisation. It has been established that P rather than K is the element affecting ecosystem carbon fluxes, where P fertilisation has been shown to (i) stimulate heterotrophic respiration, (ii) reduce the abundance of arbuscular mycorrhizal fungi and (iii) decrease the crop root : shoot ratio, leading to higher root-derived carbon input. The higher export of N in the PK-fertilised plots in this study could (iv) have led to increased N mining and thus mineralisation of organic matter. More integrated experiments are needed to gain a better understanding of the relative importance of each of the above-mentioned mechanisms leading to SOC losses after P addition. AU - Poeplau, Christopher AU - Bolinder, Martin A. AU - Kirchmann, Holger AU - Katterer, Thomas DA - 2016 DO - 10.5194/bg-13-1119-2016 IS - 4 PY - 2016 SN - 1726-4170 SP - 1119-1127 ST - Phosphorus fertilisation under nitrogen limitation can deplete soil carbon stocks: evidence from Swedish meta-replicated long-term field experiments T2 - Biogeosciences TI - Phosphorus fertilisation under nitrogen limitation can deplete soil carbon stocks: evidence from Swedish meta-replicated long-term field experiments VL - 13 ID - 2287 ER - TY - CONF AB - Dhanjori Volcanics (DhV 2.1Ga) one of the early Proterozoic mafic volcanic suites of the Singhbhum Craton shows major characteristic of a greenstone schist belt. These belts are known for gold occurrences. It is believed that the Dhanjori meta-volcanics and its variant group are the source of the sulfides in DhV. Audio Magnetotelluric (AMT) measurements over DhV were carried to draw inferences on the pobible metallogeny. Dimensionality analysis of the data shows that the structure is quasi 2-D. Non-linear conjugate gradient inversion of transverse electric and magnetic modes together delineates several shallow mineralization pobibly abociated with sulfides enveloped by moderately conducting host rock. These are related to sulfide bodies with variable concentration of pyrites which may be of gold bearing. The sensitivity analysis shows that the conducting features are insensitive to moderately sensitive. AU - Singh, Shailendra AU - Shalivahan AU - Maurya, V. P. AU - Tripathi, Anurag AU - Bage, A. K. C3 - 17th Annual Conference of the International Association for Mathematical Geosciences, IAMG 2015, September 5, 2015 - September 13, 2015 DA - 2015 KW - Gold Gold deposits Magnetotellurics Mineralogy Sensitivity analysis Sulfur compounds N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Association for Mathematical Geology (IAMG) PY - 2015 SP - 698-707 ST - Pilot audio magnetotelluric (AMT) survey over greenstone schist belt of dhanjorivolcanics, eastern India: Inferences on metallogeny T3 - Proceedings of IAMG 2015 - 17th Annual Conference of the International Association for Mathematical Geosciences TI - Pilot audio magnetotelluric (AMT) survey over greenstone schist belt of dhanjorivolcanics, eastern India: Inferences on metallogeny ID - 644 ER - TY - JOUR AU - Shemilt, Ian AU - Simon, Antonia AU - Hollands, Gareth J. AU - Marteau, Theresa M. AU - Ogilvie, David AU - O'Mara-Eves, Alison AU - Kelly, Michael P. AU - Thomas, James DA - 2014 DP - Google Scholar IS - 1 PY - 2014 SP - 31-49 ST - Pinpointing needles in giant haystacks T2 - Research synthesis methods TI - Pinpointing needles in giant haystacks: use of text mining to reduce impractical screening workload in extremely large scoping reviews UR - http://onlinelibrary.wiley.com/doi/10.1002/jrsm.1093/full VL - 5 Y2 - 2016/09/24/15:32:42 ID - 2312 ER - TY - CONF AB - This paper introduces PKUSpace - a collaborative platform for scientific learning and researching. Supported by efficient automated metadata extraction and powerful text classification modules, PKUSpace provides users with a very helpful and interactive procedure to upload e-resources. We use heuristic methods and regular expression matching techniques to mine different patterns and extract relevant metadata. Upon the well-organized e-sources, we build a uniform retrieval interface with multi-function to provide taxonomy navigation, full-text search, structural search in the metadata level and meta-searching module with novel result-merging method. Combining two on-line scoring methods: scoring with exponential distribution and metadata scoring, we achieve an effective merging result of matched documents. Furthermore, PKUSpace provides an academic forum for students and professional users in every community to discuss their ideas and research work freely. AU - Ming, Zhang AU - Dong-qing, Yang AU - Zhi-Hong, Deng AU - Ying, Feng AU - Wen-qing, Wang AU - Pei-xiang, Zhao AU - Sai, Wu AU - Shu-an, Wang AU - Shi-Wei, Tang C3 - Advances in Web-Based Learning - ICWL 2004. Third International Conference. Proceedings, 8-11 Aug. 2004 DA - 2004 KW - Computer aided instruction groupware Knowledge acquisition meta data text analysis PB - Springer-Verlag PY - 2004 SP - 120-7 ST - PKUSpace: a collaborative platform for scientific researching T3 - Advances in Web-Based Learning - ICWL 2004. Third International Conference. Proceedings (Lecture Notes in Comput. Soc. Vol.3143) TI - PKUSpace: a collaborative platform for scientific researching ID - 921 ER - TY - JOUR AB - High-throughput gene expression profiling using microarrays has given plant biologists a powerful new technology to discover gene function and understand cellular processes. Bioinformatics has rapidly developed to deliver the tools necessary to interpret this gene expression data, but opportunities to further exploit the mass of data from hundreds of experiments are becoming dependent upon the use of sophisticated database repositories. Data mining of these resources will allow plant biologists to compare and link expression profiles and experimental factors to uncover functions and processes that would not normally be visible from analysing a small set of microarray experiments. This in-silico analysis will become critical when designing new experiments and interpreting new results. Consequently microarray databases and their ongoing development are now as important to plant functional genomics as the initial microarray data capture and analysis tools. In order for plant biologists to grasp these new opportunities, an appreciation of microarray database technology and future developments in biological data integration is required. The challenge for plant functional genomics is to embrace these new technologies lest the opportunities for significant discoveries be lost. AU - Kennedy, G. C. AU - Wilson, I. W. DA - 2004 DO - 10.1071/FP03216 IS - 4 PY - 2004 SN - 1445-4408 SP - 295-314 ST - Plant functional genomics: opportunities in microarray databases and data mining T2 - Functional Plant Biology TI - Plant functional genomics: opportunities in microarray databases and data mining UR - http://www.publish.csiro.au/?paper=FP03216 VL - 31 ID - 2016 ER - TY - JOUR AB - In this work, genetic algorithms and multilayer neural networks are applied to plant virus identification. The initial data set is derived via a well known prototype method, which uses specially designed biosensors to monitor the virus reactions. Several techniques have been introduced for preprocessing the plant virus waves. They include segmentation along the time axis for fast response, nonlinear normalization to emphasize significant information, averaging samples of the plant virus waves to suppress noise effects, reduction in the number of samples to realize a more compact network, etc. Given the features of the acquired virus time-series signals of the problem under study, an evolutionary method is proposed in order to produce meta-data from the original time-series initial information, reduce the dimensionality of the input data space, and to eliminate the noise inherent in the initial raw information. A genetic algorithm is employed so as to smooth out the initial information while, the so produced meta-data sets are used in the training and testing of the applied neural network, producing fitter training data. The method is tested against some of the most commonly used classifiers in machine learning via cross-validation and proved its potential towards assisting virus identification. (C) 2009 Elsevier B.V. All rights reserved. AU - Glezakos, Thomas J. AU - Moschopoulou, Georgia AU - Tsiligiridis, Theodore A. AU - Kintzios, Spiridon AU - Yialouris, Constantine P. DA - 2010/03// DO - 10.1016/j.compag.2009.09.007 IS - 2 L1 - internal-pdf://0522971726/Glezakos-2010-Plant virus identification based.pdf PY - 2010 SN - 0168-1699 SP - 263-275 ST - Plant virus identification based on neural networks with evolutionary preprocessing T2 - Computers and Electronics in Agriculture TI - Plant virus identification based on neural networks with evolutionary preprocessing UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0168169909001860/1-s2.0-S0168169909001860-main.pdf?_tid=416baf34-8336-11e6-b456-00000aab0f6b&acdnat=1474818153_6c266c3fb9f796beea0aeade2d67dbeb VL - 70 ID - 2047 ER - TY - JOUR AB - DNA sequences accumulating in the International Nucleotide Sequence Databases (INSD) form a rich source of information for taxonomic and ecological meta-analyses. However, these databases include many erroneous entries, and the data itself is poorly annotated with metadata, making it difficult to target and extract entries of interest with any degree of precision. Here we describe the web-based workbench PlutoF, which is designed to bridge the gap between the needs of contemporary research in biology and the existing software resources and databases. Built on a relational database, PlutoF allows remote-access rapid submission, retrieval, and analysis of study, specimen, and sequence data in INSD as well as for private datasets though web-based thin clients. In contrast to INSD, PlutoF supports internationally standardized terminology to allow very specific annotation and linking of interacting specimens and species. The sequence analysis module is optimized for identification and analysis of environmental ITS sequences of fungi, but it can be modified to operate on any genetic marker and group of organisms. The workbench is available at http://plutof.ut.ee. AU - Abarenkov, Kessy AU - Tedersoo, Leho AU - Nilsson, R. Henrik AU - Vellak, Kai AU - Saar, Irja AU - Veldre, Vilmar AU - Parmasto, Erast AU - Prous, Marko AU - Aan, Anne AU - Ots, Margus AU - Kurina, Olavi AU - Ostonen, Ivika AU - Jogeva, Janno AU - Halapuu, Siim AU - Poldmaa, Kadri AU - Toots, Maert AU - Truu, Jaak AU - Larsson, Karl-Henrik AU - Koljalg, Urmas DA - 2010 DO - 10.4137/EBO.S6271 L1 - internal-pdf://0719885386/Abarenkov-2010-PlutoF-a Web Based Workbench fo.pdf PY - 2010 SN - 1176-9343 SP - 189-196 ST - PlutoF-a Web Based Workbench for Ecological and Taxonomic Research, with an Online Implementation for Fungal ITS Sequences T2 - Evolutionary Bioinformatics TI - PlutoF-a Web Based Workbench for Ecological and Taxonomic Research, with an Online Implementation for Fungal ITS Sequences UR - http://www.la-press.com/redirect_file.php?fileId=3277&filename=2406-EBO-PlutoF%E2%80%94a-Web-Based-Workbench-for-Ecological-and-Taxonomic-Research,-.pdf&fileType=pdf VL - 6 ID - 1942 ER - TY - JOUR AB - High-throughput small RNA (sRNA) sequencing technology enables an entirely new perspective for plant microRNA (miRNA) research and has immense potential to unravel regulatory networks. Novel insights gained through data mining in publically available rich resource of sRNA data will help in designing biotechnology-based approaches for crop improvement to enhance plant yield and nutritional value. Bioinformatics resources enabling meta-analysis of miRNA expression across multiple plant species are still evolving. Here, we report PmiRExAt, a new online database resource that caters plant miRNA expression atlas. The web-based repository comprises of miRNA expression profile and query tool for 1859 wheat, 2330 rice and 283 maize miRNA. The database interface offers open and easy access to miRNA expression profile and helps in identifying tissue preferential, differential and constitutively expressing miRNAs. A feature enabling expression study of conserved miRNA across multiple species is also implemented. Custom expression analysis feature enables expression analysis of novel miRNA in total 117 datasets. New sRNA dataset can also be uploaded for analysing miRNA expression profiles for 73 plant species. PmiRExAt application program interface, a simple object access protocol web service allows other programmers to remotely invoke the methods written for doing programmatic search operations on PmiRExAt database.Database URL:http://pmirexat.nabi.res.in. AU - Gurjar, Anoop Kishor Singh AU - Panwar, Abhijeet Singh AU - Gupta, Rajinder AU - Mantri, Shrikant S. DA - 2016 DO - 10.1093/database/baw060 J2 - Database (Oxford) L1 - internal-pdf://2215357781/Gurjar-2016-PmiRExAt_ plant miRNA expression a.pdf LA - eng PY - 2016 SN - 1758-0463 1758-0463 ST - PmiRExAt: plant miRNA expression atlas database and web applications T2 - Database : the journal of biological databases and curation TI - PmiRExAt: plant miRNA expression atlas database and web applications UR - http://database.oxfordjournals.org/content/2016/baw060.full.pdf VL - 2016 ID - 199 ER - TY - CONF AB - The development of a fully automatic facial expression recognition system is an open problem. Its implications are very important, with applications ranging from machine intelligence and interaction to psychology research. In order to obtain a viable system, it is necessary to get valid parameters to characterize the facial expression in an image or a video sequence. Several different techniques have been implemented, using global-based, local-based and hybrid methods. In our work we developed a new algorithm based on POEM algorithms. We tested the performance using the Cohn-Kanade database and we compared the results with algorithms using geometric features and regular LBP patterns. Additionally, since the parameters have high linear and non-linear dependence they don't have an homogeneous statistic importance as descriptors, so we performed data mining processing. Our results show that POEM-based algorithms have high performance and low cost, even with low resolution images, outperforming most of traditional state of the art works. Preliminary tests also show the viability of using meta classifiers in order to further improve the performance. AU - Silva, E. AU - Esparza, C. AU - Mejia, Y. C3 - 2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA 2012), 12-14 Sept. 2012 DA - 2012 DO - 10.1109/STSIVA.2012.6340576 KW - data mining face recognition geometry image classification image sequences statistical analysis PB - IEEE PY - 2012 SP - 162-7 ST - POEM-based facial expression recognition, a new approach T3 - 2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA 2012) TI - POEM-based facial expression recognition, a new approach UR - http://dx.doi.org/10.1109/STSIVA.2012.6340576 ID - 1398 ER - TY - JOUR AB - Polygons provide natural representations for many types of geospatial objects, such as countries, buildings, and pollution hotspots. Thus, polygon-based data mining techniques are particularly useful for mining geospatial datasets. In this paper, we propose a polygon-based clustering and analysis framework for mining multiple geospatial datasets that have inherently hidden relations. In this framework, polygons are first generated from multiple geospatial point datasets by using a density-based contouring algorithm called DCONTOUR. Next, a density-based clustering algorithm called Poly-SNN with novel dissimilarity functions is employed to cluster polygons to create meta-clusters of polygons. Finally, post-processing analysis techniques are proposed to extract interesting patterns and user-guided summarized knowledge from meta-clusters. These techniques employ plug-in reward functions that capture a domain expert's notion of interestingness to guide the extraction of knowledge from meta-clusters. The effectiveness of our framework is tested in a real-world case study involving ozone pollution events in Texas. The experimental results show that our framework can reveal interesting relationships between different ozone hotspots represented by polygons; it can also identify interesting hidden relations between ozone hotspots and several meteorological variables, such as outdoor temperature, solar radiation, and wind speed. AU - Sujing, Wang AU - Eick, C. F. DA - 2014/07// DO - 10.1007/s10707-013-0190-2 IS - 3 J2 - GeoInformatica KW - air pollution data mining environmental science computing Geographic information systems Ozone pattern clustering PY - 2014 SN - 1384-6175 SP - 569-94 ST - A polygon-based clustering and analysis framework for mining spatial datasets T2 - GeoInformatica TI - A polygon-based clustering and analysis framework for mining spatial datasets UR - http://dx.doi.org/10.1007/s10707-013-0190-2 VL - 18 ID - 1704 ER - TY - JOUR AB - Computer simulation has become the standard tool in many engineering fields for designing and optimizing systems, as well as for assessing their reliability. Optimization and uncertainty quantification problems typically require a large number of runs of the computational model at hand, which may not be feasible with high-fidelity models directly. Thus surrogate models (a.k.a meta-models) have been increasingly investigated in the last decade. Polynomial chaos expansions (PCE) and Kriging are two popular nonintrusive meta-modeling techniques. PCE surrogates the computational model with a series of orthonormal polynomials in the input variables where polynomials are chosen in coherency with the probability distributions of those input variables. A least-square minimization technique may be used to determine the coefficients of the PCE. Kriging assumes that the computer model behaves as a realization of a Gaussian random process whose parameters are estimatedfrom the available computer runs, i.e., input vectors and response values. These two techniques have been developed more or less in parallel so far with little interaction between the researchers in the two fields. In this paper, PC-Kriging is derived as a new nonintrusive meta-modeling approach combining PCE and Kriging. A sparse set of orthonormal polynomials (PCE) approximates the global behavior of the computational model whereas Kriging manages the local variability of the model output. An adaptive algorithm similar to the least angle regression algorithm determines the optimal sparse set of polynomials. PC-Kriging is validated on various benchmark analytical functions which are easy to sample for reference results. From the numerical investigations it is concluded that PC-Kriging performs better than or at least as good as the two distinct meta-modeling techniques. A larger gain in accuracy is obtained when the experimental design has a limited size, which is an asset when dealing with demanding computational models. AU - Schobi, R. AU - Sudret, B. AU - Wiart, J. DA - 2015 IS - 2 J2 - International Journal for Uncertainty Quantification KW - chaos digital simulation Gaussian processes least squares approximations minimisation polynomials Probability random processes Regression Analysis PY - 2015 SN - 2152-5080 SP - 171-93 ST - Polynomial-Chaos-Based Kriging T2 - International Journal for Uncertainty Quantification TI - Polynomial-Chaos-Based Kriging VL - 5 ID - 586 ER - TY - JOUR AB - BACKGROUND: Coal is produced across 25 states and provides 42% of US energy. With production expected to increase 7.6% by 2035, proximate populations remain at risk of exposure to carcinogenic coal products such as silica dust and organic compounds. It is unclear if population exposure is associated with increased risk, or even which cancers have been studied in this regard. METHODS: We performed a systematic review of English-language manuscripts published since 1980 to determine if coal mining exposure was associated with increased cancer risk (incidence and mortality). RESULTS: Of 34 studies identified, 27 studied coal mining as an occupational exposure (coal miner cohort or as a retrospective risk factor) but only seven explored health effects in surrounding populations. Overall, risk assessments were reported for 20 cancer site categories, but their results and frequency varied considerably. Incidence and mortality risk assessments were: negative (no increase) for 12 sites; positive for 1 site; and discordant for 7 sites (e.g. lung, gastric). However, 10 sites had only a single study reporting incidence risk (4 sites had none), and 11 sites had only a single study reporting mortality risk (2 sites had none). The ecological study data were particularly meager, reporting assessments for only 9 sites. While mortality assessments were reported for each, 6 had only a single report and only 2 sites had reported incidence assessments. CONCLUSIONS: The reported assessments are too meager, and at times contradictory, to make definitive conclusions about population cancer risk due to coal mining. However, the preponderance of this and other data support many of Hill's criteria for causation. The paucity of data regarding population exposure and risk, the widespread geographical extent of coal mining activity, and the continuing importance of coal for US energy, warrant further studies of population exposure and risk. AU - Jenkins, Wiley D. AU - Christian, W. Jay AU - Mueller, Georgia AU - Robbins, K. Thomas DA - 2013 DO - 10.1371/journal.pone.0071312 IS - 8 J2 - PLoS One KW - *Coal Mining Databases, Bibliographic Environmental Exposure/adverse effects Female Humans Incidence Lung Neoplasms/*epidemiology/etiology Male Occupational Exposure/adverse effects Risk Stomach Neoplasms/*epidemiology/etiology United States/epidemiology L1 - internal-pdf://0306851320/Jenkins-2013-Population cancer risks associate.pdf LA - eng PY - 2013 SN - 1932-6203 1932-6203 SP - e71312 ST - Population cancer risks associated with coal mining: a systematic review T2 - PloS one TI - Population cancer risks associated with coal mining: a systematic review UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3744577/pdf/pone.0071312.pdf VL - 8 ID - 221 ER - TY - JOUR AB - A population pharmacokinetics study using the NONMEM program was undertaken to determine the effects of different covariates on the pharmacokinetic parameters of etoposide. A total of 1,044 plasma etoposide concentrations were determined by high-performance liquid chromatography (HPLC) in 100 patients (pts; 75 men and 25 women aged 25-85 years) treated for various tumor types with i.v. (57 pts) or oral (43 pts) etoposide. For 67 pts, etoposide plasma protein binding was deter-mined by equilibrium dialysis; the unbound fraction ranged from 4% to 24%. A linear two-compartment model with first-order absorption (for oral dosing) accurately described the concentration versus time data. The central and peripheral volumes of distribution were significantly correlated with the body surface area [Vc (L) = 5.5 x BSA (m(2)) and Vp = 4.1 x BSA], but even after BSA had been taken into account, the interindividual variability of the two volumes remained high (34% and 57%, respectively). The clearance (CL) was not correlated with the following covariates: age, BSA, sex, height, and levels of serum bilirubin and liver enzymes. The final regression model for CL was CL (ml/min) = 49.8 x (1 - 0.009 x PRO)x WT/Scr + 33.8 x (1 - 0.29 x META) x (1 - 0.012 x ALB), where ALB, PRO, WT, and Scr, respectively, were albuminemia, proteinemia (g/l), weight (kg), and serum creatinine (mu M) and META = 1 if the patient had liver metastases (otherwise, META = 0). The interindividual variability in CL (mean value 30 ml/min) decreased only from 32% to 26% when these covariates were taken into account. The mean oral bioavailability was 66%, showing an interindividual variability of 37%. The plasma clearance of the unbound fraction was strongly and negatively correlated with Scr but was not dependent on either PRO or ALB. These data show that modifications in PRO levels do not directly affect plasma exposure to unbound etoposide. This analysis makes possible the rational consideration of modifications of covariates such as Scr in etoposide dosing. This population data base will constitute the prerequisite for adaptative control with feedback dosing for continuous oral administration of etoposide. AU - Nguyen, L. AU - Chatelut, E. AU - Chevreau, C. AU - Tranchand, B. AU - Lochon, I. AU - Bachaud, J. M. AU - Pujol, A. AU - Houin, G. AU - Bugat, R. AU - Canal, P. DA - 1998/01// IS - 2 PY - 1998 SN - 0344-5704 SP - 125-132 ST - Population pharmacokinetics of total and unbound etoposide T2 - Cancer Chemotherapy and Pharmacology TI - Population pharmacokinetics of total and unbound etoposide VL - 41 ID - 2254 ER - TY - JOUR AB - Information and communication technology (ICT)-enhanced research methods such as educational data mining (EDM) have allowed researchers to effectively model a broad range of constructs pertaining to the student, moving from traditional assessments of knowledge to assessment of engagement, meta-cognition, strategy and affect. The automated detection of these constructs allows EDM researchers to develop intervention strategies that can be implemented either by the software or the teacher. It also allows for secondary analyses of the construct, where the detectors are applied to a data set that is much larger than one that could be analyzed by more traditional methods. However, in many cases, the data used to develop EDM models are collected from students who may not be representative of the broader populations who are likely to use ICT. In order to use EDM models (automated detectors) with new populations, their generalizability must be verified. In this study, we examine whether detectors of affect remain valid when applied to new populations. Models of four educationally relevant affective states were constructed based on data from urban, suburban and rural students using ASSISTments software for middle school mathematics in the Northeastern United States. We found that affect detectors trained on a population drawn primarily from one demographic grouping do not generalize to populations drawn primarily from the other demographic groupings, even though those populations might be considered part of the same national or regional culture. Models constructed using data from all three subpopulations are more applicable to students in those populations than those trained on a single group, but still do not achieve ideal population validity - the ability to generalize across all subgroups. In particular, models generalize better across urban and suburban students than rural students. These findings have important implications for data collection efforts, validation techniques, and the design of interventions that are intended to be applied at scale. 2014 British Educational Research Association. AU - Ocumpaugh, Jaclyn AU - Baker, Ryan AU - Gowda, Sujith AU - Heffernan, Neil AU - Heffernan, Cristina DA - 2014 DO - 10.1111/bjet.12156 IS - 3 J2 - British Journal of Educational Technology KW - data mining Detectors Information technology Population statistics Research Students N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 00071013 SP - 487-501 ST - Population validity for educational data mining models: A case study in affect detection T2 - British Journal of Educational Technology TI - Population validity for educational data mining models: A case study in affect detection UR - http://dx.doi.org/10.1111/bjet.12156 VL - 45 ID - 1755 ER - TY - CHAP AB - Background Background Overeating and harmful alcohol and tobacco use have been linked to the aetiology of various non-communicable diseases, which are among the leading global causes of morbidity and premature mortality. As people are repeatedly exposed to varying sizes and shapes of food, alcohol and tobacco products in environments such as shops, restaurants, bars and homes, this has stimulated public health policy interest in product size and shape as potential targets for intervention. Objectives Objectives 1) To assess the effects of interventions involving exposure to different sizes or sets of physical dimensions of a portion, package, individual unit or item of tableware on unregulated selection or consumption of food, alcohol or tobacco products in adults and children. 2) To assess the extent to which these effects may be modified by study, intervention and participant characteristics. Search methods Search methods We searched CENTRAL, MEDLINE, EMBASE, PsycINFO, eight other published or grey literature databases, trial registries and key websites up to November 2012, followed by citation searches and contacts with study authors. This original search identified eligible studies published up to July 2013, which are fully incorporated into the review. We conducted an updated search up to 30 January 2015 but further eligible studies are not yet fully incorporated due to their minimal potential to change the conclusions. Selection criteria Selection criteria Randomised controlled trials with between-subjects (parallel-group) or within-subjects (cross-over) designs, conducted in laboratory or field settings, in adults or children. Eligible studies compared at least two groups of participants, each exposed to a different size or shape of a portion of a food (including non-alcoholic beverages), alcohol or tobacco product, its package or individual unit size, or of an item of tableware used to consume it, and included a measure of unregulated selection or consumption of food, alcohol or tobacco. Data collection and analysis Data collection and analysis We applied standard Cochrane methods to select eligible studies for inclusion and to collect data and assess risk of bias. We calculated study-level effect sizes as standardised mean differences (SMDs) between comparison groups, measured as quantities selected or consumed. We combined these results using random-effects meta-analysis models to estimate summary effect sizes (SMDs with 95% confidence intervals (CIs)) for each outcome for size and shape comparisons. We rated the overall quality of evidence using the GRADE system. Finally, we used meta-regression analysis to investigate statistical associations between summary effect sizes and variant study, intervention or participant characteristics. Main results Main results The current version of this review includes 72 studies, published between 1978 and July 2013, assessed as being at overall unclear or high risk of bias with respect to selection and consumption outcomes. Ninety-six per cent of included studies (69/72) manipulated food products and 4% (3/72) manipulated cigarettes. No included studies manipulated alcohol products. Forty-nine per cent (35/72) manipulated portion size, 14% (10/72) package size and 21% (15/72) tableware size or shape. More studies investigated effects among adults (76% (55/72)) than children and all studies were conducted in high-income countries - predominantly in the USA (81% (58/72)). Sources of funding were reported for the majority of studies, with no evidence of funding by agencies with possible commercial interests in their results. A meta-analysis of 86 independent comparisons from 58 studies (6603 participants) found a small to moderate effect of portion, package, individual unit or tableware size on consumption of food (SMD 0.38, 95% CI 0.29 to 0.46), providing moderate quality evidence that exposure to larger sizes increased quantities of food consumed among children (SMD 0.21, 95% CI 0.10 to 0.31) and adults (SMD 0.46, 95% CI 0.40 to 0.52). The size of this effect suggests that, if sustained reductions in exposure to larger-sized food portions, packages and tableware could be achieved across the whole diet, this could reduce average daily energy consumed from food by between 144 and 228 kcal (8.5% to 13.5% from a baseline of 1689 kcal) among UK children and adults. A meta-analysis of six independent comparisons from three studies (108 participants) found low quality evidence for no difference in the effect of cigarette length on consumption (SMD 0.25, 95% CI -0.14 to 0.65). One included study (50 participants) estimated a large effect on consumption of exposure to differently shaped tableware (SMD 1.17, 95% CI 0.57 to 1.78), rated as very low quality evidence that exposure to shorter, wider bottles (versus taller, narrower bottles) increased quantities of water consumed by young adult participants. A meta-analysis of 13 independent comparisons from 10 studies (1164 participants) found a small to moderate effect of portion or tableware size on selection of food (SMD 0.42, 95% CI 0.24 to 0.59), rated as moderate quality evidence that exposure to larger sizes increased the quantities of food people selected for subsequent consumption. This effect was present among adults (SMD 0.55, 95% CI 0.35 to 0.75) but not children (SMD 0.14, 95% CI -0.06 to 0.34). In addition, a meta-analysis of three independent comparisons from three studies (232 participants) found a very large effect of exposure to differently shaped tableware on selection of non-alcoholic beverages (SMD 1.47, 95% CI 0.52 to 2.43), rated as low quality evidence that exposure to shorter, wider (versus taller, narrower) glasses or bottles increased the quantities selected for subsequent consumption among adults (SMD 2.31, 95% CI 1.79 to 2.83) and children (SMD 1.03, 95% CI 0.41 to 1.65). Authors' conclusions Authors' conclusions This review found that people consistently consume more food and drink when offered larger-sized portions, packages or tableware than when offered smaller-sized versions. This suggests that policies and practices that successfully reduce the size, availability and appeal of larger-sized portions, packages, individual units and tableware can contribute to meaningful reductions in the quantities of food (including non-alcoholic beverages) people select and consume in the immediate and short term. However, it is uncertain whether reducing portions at the smaller end of the size range can be as effective in reducing food consumption as reductions at the larger end of the range. We are unable to highlight clear implications for tobacco or alcohol policy due to identified gaps in the current evidence base. AU - Hollands, Gareth J. AU - Shemilt, Ian AU - Marteau, Theresa M. AU - Jebb, Susan A. AU - Lewis, Hannah B. AU - Wei, Yinghui AU - Higgins, Julian P. T. AU - Ogilvie, David DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD011045.pub2/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2015 ST - Portion, package or tableware size for changing selection and consumption of food, alcohol and tobacco T2 - Cochrane Database of Systematic Reviews TI - Portion, package or tableware size for changing selection and consumption of food, alcohol and tobacco UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD011045.pub2/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD011045.pub2/full Y2 - 2016/09/18/20:15:38 ID - 415 ER - TY - JOUR AB - The current statistical, machine learning, and data mining (data analysis) algorithms available are only suited for analyzing single datasets (studies) in isolation. The findings of the analysis and the knowledge produced (e.g,. important predicting variables and risk-factors, rules for prediction, etc.) are published and this knowledge is then manually synthesized within the human brain. In this paper we argue that this process can be further automated: it is possible to develop algorithms that integratively analyze (co-analyze) data from different studies with different characteristics and measured quantities (variables). To develop such algorithms, we further argue that modeling and inducing causal relations is necessary. We call this process Integrative Causal Analysis or INCA. We present three cases and corresponding existing or newly developed algorithms and techniques that illustrate the feasibility of integrative causal analysis and the key enabling ideas. Specifically, we discuss algorithms for learning causal relations from (a) data obtained over different experimental conditions, (b) data over different variable sets, and (c) data over semantically similar variables that nevertheless cannot be pulled together for various technical reasons. The latter case particularly, often occurs in the setting of analyzing multiple gene-expression datasets. The grand vision of Integrative Causal Analysis is to enable the automated or semi-automated, large-scale integration of a large part of the available data to construct causal models involving a significant part of human concepts. AU - Tsamardinos, Ioannis AU - Triantafillou, Sofia DA - 2009/09//JUN IS - 2-3 PY - 2009 SN - 1472-8915 SP - 163-175 ST - The possibility of integrative causal analysis: learning from different datasets and studies T2 - Engineering Intelligent Systems for Electrical Engineering and Communications TI - The possibility of integrative causal analysis: learning from different datasets and studies VL - 17 ID - 2130 ER - TY - CONF AB - This paper explored the possible aspects of the application of intelligent systems in business enterprises, as well as the impact that these systems have on the overall business of the company. Based on the analysis and systematic review recent literature in this field in the world and conducted research in companies in Serbia, the paper presents the results of conducted survey of a representative sample of small and medium-sized enterprises in Serbia. Featured are the most important elements of this problem that are based on a thorough analysis of the latest research in the field of application of business intelligence system. SGEM2015. AU - Deni, Neboja AU - Stevanovi, Vesna AU - Milievi, Violeta AU - Goran, Raic C3 - 15th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2015, June 18, 2015 - June 24, 2015 DA - 2015 KW - Competitive intelligence Industrial economics Information analysis Intelligent systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Multidisciplinary Scientific Geoconference PY - 2015 SN - 13142704 SP - 257-264 ST - Possible business aspects of application of intelligent systems in small and medium enterprises in Serbia T3 - International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM TI - Possible business aspects of application of intelligent systems in small and medium enterprises in Serbia VL - 1 ID - 575 ER - TY - JOUR AB - The contribution describes the differences between modernism and post-modernism as historical periods of the twentieth century and establishes comparable differences between structuralism and post-structuralism as semiotic approaches. Like modernism, structuralism rejects traditional modes of thought, attempts to reconstruct academic disciplines on the basis of a few fundamental principles and strives to work with reconstructed terminologies and axioms. Like post-modernism, post-structuralism is characterized by the necessity of finding ways to continue research based on the fragmentary results left by structuralist projects. In the beginning of the twentieth century, structuralism itself had responded to materialism, atomism, historicism, and naturalism by introducing its own methodology built around the dichotomies of signified and signifier; paradigm and syntagm, synchrony and diachrony, longue and parole. Rather than rejecting this apparatus, post-structuralism explicated the paradoxes behind these dichotomies and tried to overcome them by under-mining the first concept of each pair This change of perspective foregrounded the material, processual, and intertextual character of signs as well as the sense-producing function of interpretation. Rejecting rigidly fixed methods as well as general theories, and waiving the distinction between object-signs and meta-signs in favor of their joint reflection, post-structuralist semiotics became an alternative to conventional practices of academic sign analysis and now approaches the status of an art. AU - Posner, Roland DA - 2011 DO - 10.1515/semi.2011.002 IS - 1-4 PY - 2011 SN - 0037-1998 SP - 9-30 ST - Post-modernism, post-structuralism, post-semiotics? Sign theory at the fin de siecle T2 - Semiotica TI - Post-modernism, post-structuralism, post-semiotics? Sign theory at the fin de siecle VL - 183 ID - 2283 ER - TY - JOUR AU - Neria, Yuval AU - Nandi, Arijit AU - Galea, Sandro DA - 2008 DP - Google Scholar IS - 04 PY - 2008 SP - 467-480 ST - Post-traumatic stress disorder following disasters T2 - Psychological medicine TI - Post-traumatic stress disorder following disasters: a systematic review UR - http://journals.cambridge.org/abstract_s0033291707001353 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877688/ https://www.cambridge.org/core/journals/psychological-medicine/article/post-traumatic-stress-disorder-following-disasters-a-systematic-review/4D7C81052A8CCF01FD3DA2BA30A587A2 VL - 38 Y2 - 2016/09/24/15:37:30 ID - 2366 ER - TY - JOUR AB - BACKGROUND: Extracting and visualizing of protein-protein interaction (PPI) from text literatures are a meaningful topic in protein science. It assists the identification of interactions among proteins. There is a lack of tools to extract PPI, visualize and classify the results. RESULTS: We developed a PPI search system, termed PPLook, which automatically extracts and visualizes protein-protein interaction (PPI) from text. Given a query protein name, PPLook can search a dataset for other proteins interacting with it by using a keywords dictionary pattern-matching algorithm, and display the topological parameters, such as the number of nodes, edges, and connected components. The visualization component of PPLook enables us to view the interaction relationship among the proteins in a three-dimensional space based on the OpenGL graphics interface technology. PPLook can also provide the functions of selecting protein semantic class, counting the number of semantic class proteins which interact with query protein, counting the literature number of articles appearing the interaction relationship about the query protein. Moreover, PPLook provides heterogeneous search and a user-friendly graphical interface. CONCLUSIONS: PPLook is an effective tool for biologists and biosystem developers who need to access PPI information from the literature. PPLook is freely available for non-commercial users at http://meta.usc.edu/softs/PPLook. AU - Zhang, Shao-Wu AU - Li, Yao-Jun AU - Xia, Li AU - Pan, Quan DA - 2010 DO - 10.1186/1471-2105-11-326 J2 - BMC Bioinformatics KW - *Algorithms Data Mining/*methods Internet Proteins/*metabolism Software User-Computer Interface LA - eng PY - 2010 SN - 1471-2105 1471-2105 SP - 326 ST - PPLook: an automated data mining tool for protein-protein interaction T2 - BMC bioinformatics TI - PPLook: an automated data mining tool for protein-protein interaction VL - 11 ID - 382 ER - TY - JOUR AB - A new era in medical science has dawned with the realization of the critical role of the "forgotten organ", the enteric microbiota, in generating a variety of functions which sustain health and, when disrupted, lead to disease. Central to this beneficial interaction between the microbiota and man is the manner in which the bacteria contained within the gut "talk" to the immune system and, in particular, the immune system that is so widespread within the gut itself, the gut-associated (or mucosa-associated) lymphoid system. Into this landscape come two new players: probiotics and prebiotics. While many products have masqueraded as probiotics, only those which truly and reproducibly contain live organisms and which have been shown, in high quality human studies, to confer a health benefit can actually claim this title. Several human disease states have benefited from the use of probiotics, most notably, diarrheal illnesses, some inflammatory bowel diseases, certain infectious disorders and, most recently, irritable bowel syndrome. Prebiotics promote the growth of "good" bacteria and, while a variety of health benefits have been attributed to their use, prebiotics have been subjected to few large scale clinical trials. (C) 2010 Elsevier Ltd. All rights reserved. AU - Quigley, Eamonn M. M. DA - 2010/03// DO - 10.1016/j.phrs.2010.01.004 IS - 3 PY - 2010 SN - 1043-6618 SP - 213-218 ST - Prebiotics and probiotics; modifying and mining the microbiota T2 - Pharmacological Research TI - Prebiotics and probiotics; modifying and mining the microbiota VL - 61 ID - 2185 ER - TY - JOUR AB - A mineral assemblage of coffinite, USiO4 center dot nH(2)O, n = 0-2, carbonate-fluorapatite (CFAp) and (Ca, Sr)-(meta) autunite (M-Aut) from the Woodrow Mine, Grants uranium region, New Mexico, has been investigated in order to understand the influence of a Prich micro-geochemical environment on precipitation of coffinite and its subsequent alteration under oxidizing conditions. Finegrained coffinite (<= 10 mu m) precipitated under reducing conditions replacing CFAp, pyrite and aluminosilicates. Electron-microprobe analyses (EMPA) of coffinite indicate limited incorporation of P2O5 and CaO, <2.7 and <3.0 wt%, respectively, into the coffinite structure during replacement of CFAp. The chemical formula of coffinite is (U0.95 +/- 0.09Ca0.15 +/- 0.02)(Sigma 1.10 +/- 0.1)(Si0.84 +/- 0.08P0.06 +/- 0.02)(sigma 0.90 +/- 0.08). Analysis by high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM) revealed that coffinite initially formed as crystals as large as 100 nm at the edges of altered CFAp. Subsequently, infiltration of (Na, Ba, Sr)-rich oxidizing fluids into fractures resulted in precipitation of Sr-rich M-Aut (up to 4 wt% of SrO) at the expense of coffinite and CFAp. Highresolution TEM reveals that Na-rich fluids caused a distortion of the ideal coffinite structure and stabilized amorphous domains that formed due to alpha-decay event radiation damage. Subsequently, the Na-enriched amorphous areas of coffinite were preferentially altered, and secondary porosity formed at the scale of similar to 1 mu m. Porosity also was formed during alteration of CFAp to M-Aut, which facilitated the migration of oxidizing fluids over distances of similar to 150 mu m into CFAp, as evidenced by precipitation of M-Aut. We report, for the first time, the precipitation of coffinite at the expense of apatite and the subsequent alteration of coffinite under P-rich, oxidizing conditions. These results show that micro-scale dissolution of apatite can create conditions conducive to the precipitation of U(IV)-and U(VI)-minerals, leading to the reduced mobility of U-species under both reducing and oxidizing conditions. AU - Deditius, Artur P. AU - Utsunomiya, Satoshi AU - Pointeau, Veronique AU - Ewing, Rodney C. DA - 2010/02// DO - 10.1127/0935-1221/2010/0022-1990 IS - 1 L1 - internal-pdf://3398284700/Deditius-2010-Precipitation and alteration of.pdf PY - 2010 SN - 0935-1221 SP - 75-88 ST - Precipitation and alteration of coffinite (USiO4 center dot nH(2)O) in the presence of apatite T2 - European Journal of Mineralogy TI - Precipitation and alteration of coffinite (USiO4 center dot nH(2)O) in the presence of apatite UR - http://eurjmin.geoscienceworld.org.ezproxy.lib.vt.edu/content/gseurjmin/22/1/75.full.pdf VL - 22 ID - 2193 ER - TY - JOUR AB - We artificially invaded a set of small islands with the large lizard Leiocephalus carinatus to determine effects on food-web elements including an intermediate predator, the lizard Anolis sagrei; the latter was previously found to have major, mostly direct effects on web spiders, as well as detectable indirect effects on aerial arthropods (including parasitoids) and leaf damage. In addition to these food-web elements, we monitored ground-surface arthropods; they are expected to be affected directly; as well as indirectly via A. sagrei, by L. carinatus. Five islands were randomly selected for invasion while six others served as controls. In addition, four islands without A. sagrei were monitored to determine the natural state of the sagrei-free food web. We also monitored a variety of A. sagrei's traits, from behavioral through physiological and demographic to morphological, to elucidate the mechanisms whereby L. carinatus might affect the smaller lizard and to evaluate trait-mediated as well as density-mediated effects. Comparison of unmanipulated islands with and without A. sagrei showed that A. sagrei appeared to be affecting web-spider density and diversity, numbers of small aerial arthropods, number of large ground-surface arthropods, and two types of leaf damage, scars and mines. All effects were negative save one: Small aerial arthropods were more abundant with A. sagrei; this variable and parasitoid abundance were negatively related to web-spider density, implicating an indirect effect pathway from A. sagrei via web spiders. Introduction of L. carinatus had major and immediate effects on A. sagrei density and perch height; effects on perch diameter, percentage hatchlings, and the width of the body,size distribution followed over time. Behavioral shifts in habitat use continued to the end of the experiment, after changes in population density had mostly leveled off. Adult-male body condition became poorer after introduction of L. carinatus. Among islands, percentage use of the ground was correlated negatively with percentage vegetated area of the island and positively with premanipulation relative hindlimb length. We hypothesize that longer-legged individuals do better on the ground because they are faster there. Conditional evidence for an increase in adult-male relative hindlimb length suggested that, when the ground-inhabiting L. carinatus was introduced, such individuals were differentially able to escape predation. Introduction of L. carinatus significantly reversed A. sagrei's effect on number of species and density of web, spiders but had no other major effects on lower level food-web elements. Thus, a relatively short-chained (two links) effect, with a relatively strong second link (A. sagrei on spiders), showed the greatest indirect effect of the manipulation. Another potentially strong indirect effect, that on large ground-surface arthropods, did not occur, possibly because of compensatory (direct) predation by L. carinatus. Thus presence of omnivory may also be relevant to whether reversal of effects occurs. Although most A. sagrei effects were not reversed in the time available for the experiment, this may be typical, as natural L. carinatus colonizations can dwindle away to extinction over about the same time span, producing at best only short-term indirect effects. Population-density estimates from other sites and comparisons to other experimental studies suggest that, in general, predators on Anolis may have erratic effects in space and time. AU - Schoener, T. W. AU - Spiller, D. A. AU - Losos, J. B. DA - 2002/08// DO - 10.1890/0012-9615(2002)072[0383:POACAL]2.0.CO;2 IS - 3 PY - 2002 SN - 0012-9615 SP - 383-407 ST - Predation on a common Anolis lizard: Can the food-web effects of a devastating predator be reversed? T2 - Ecological Monographs TI - Predation on a common Anolis lizard: Can the food-web effects of a devastating predator be reversed? VL - 72 ID - 2295 ER - TY - JOUR AB - A number of in vitro assays are available for the determination of arsenic (As) bioaccessibility and prediction of As relative bioavailability (RBA) to quantify exposure for site-specific risk assessment. These data are usually considered in isolation; however, meta analysis may provide predictive capabilities for source-specific As bioaccessibility and RBA. The objectives of this study were to predict As RBA using previously published in vivo/in vitro correlations and to assess the influence of As sources on As RBA independent of geographical location. Data representing 351 soils (classified based on As source) and 514 independent bioaccessibility values were retrieved from the literature for comparison. Arsenic RBA was predicted using published in vivo/in vitro regression models, and 90th and 95th percentiles were determined for each As source classification and in vitro methodology. Differences in predicted mean As RBA were observed among soils contaminated from different As sources and within source materials when various in vitro methodologies were utilized. However, when in vitro data were standardized by transforming SBRC intestinal, IVG, and PBET data to SBRC gastric phase values (through linear regression models), predicted As RBA values for As sources followed the order CCA posts >/= herbicide/pesticide > mining/smelting > gossan soils with 95th percentiles for predicted As RBA of 78.0, 78.4, 67.0, and 23.7%, respectively. AU - Juhasz, Albert L. AU - Weber, John AU - Smith, Euan DA - 2011/12/15/ DO - 10.1021/es2018384 IS - 24 J2 - Environ Sci Technol KW - Arsenic/analysis/*chemistry/metabolism Environmental Pollution/*statistics & numerical data Humans Linear Models Risk Assessment/methods Soil Pollutants/analysis/*chemistry/metabolism L1 - internal-pdf://2634557495/Juhasz-2011-Predicting arsenic relative bioava.pdf LA - eng PY - 2011 SN - 1520-5851 0013-936X SP - 10676-10683 ST - Predicting arsenic relative bioavailability in contaminated soils using meta analysis and relative bioavailability-bioaccessibility regression models T2 - Environmental science & technology TI - Predicting arsenic relative bioavailability in contaminated soils using meta analysis and relative bioavailability-bioaccessibility regression models UR - http://pubs.acs.org.ezproxy.lib.vt.edu/doi/pdfplus/10.1021/es2018384 VL - 45 ID - 141 ER - TY - JOUR AB - A number of in vitro assays are available for the determination of arsenic (As) bioaccessibility and prediction of As relative bioavailability (RBA) to quantify exposure for site-specific risk assessment. These data are usually considered in isolation; however, meta analysis may provide predictive capabilities for source-specific As bioaccessibility and RBA. The objectives of this study were to predict As RBA using previously published in vivo/in vitro correlations and to assess the influence of As sources on As RBA independent of geographical location. Data representing 351 soils (classified based on As source) and 514 independent bioaccessibility values were retrieved from the literature for comparison. Arsenic RBA was predicted using published in vivo/in vitro regression models, and 90th and 95th percentiles were determined for each As source classification and in vitro methodology. Differences in predicted mean As RBA were observed among soils contaminated from different As sources and within source materials when various in vitro methodologies were utilized. However, when in vitro data were standardized by transforming SBRC intestinal, IVG, and PBET data to SBRC gastric phase values (through linear regression models), predicted As RBA values for As sources followed the order CCA posts >= herbicide/pesticide > mining/smelting > gossan soils with 95th percentiles for predicted As RBA of 78.0, 78.4, 67.0, and 23.7%, respectively. AU - Juhasz, Albert L. AU - Weber, John AU - Smith, Euan DA - 2011/12/15/ DO - 10.1021/es2018384 IS - 24 L1 - internal-pdf://1376941062/Juhasz-2011-Predicting Arsenic Relative Bioava.pdf PY - 2011 SN - 0013-936X SP - 10676-10683 ST - Predicting Arsenic Relative Bioavailability in Contaminated Soils Using Meta Analysis and Relative Bioavailability-Bioaccessibility Regression Models T2 - Environmental Science & Technology TI - Predicting Arsenic Relative Bioavailability in Contaminated Soils Using Meta Analysis and Relative Bioavailability-Bioaccessibility Regression Models UR - http://pubs.acs.org.ezproxy.lib.vt.edu/doi/pdfplus/10.1021/es2018384 VL - 45 ID - 1922 ER - TY - CONF AB - Lately, many academic and industrial fields have shifted research focus from data acquisition to data analysis. This transition has been facilitated by the usage of Machine Learning (ML) techniques to automatically identify patterns and extract non-trivial knowledge from data. The experimental procedures associated with that are usually complex and computationally demanding. Scheduling is a typical method used to decide how to allocate tasks into available resources. An important step for such is to guess how long an application would take to execute. In this paper, we introduce an approach for predicting processing time specifically of ML tasks. It employs a metalearning framework to relate characteristics of datasets and current machine state to actual execution time. An empirical study was conducted using 78 publicly available datasets, 6 ML algorithms and 4 meta-regressors. Experimental results show that our approach outperforms a commonly used baseline method. Statistical tests advise using SVMr as meta-regressor. These achievements indicate the potential of metalearning to tackle the problem and encourage further developments. AU - Priya, R. AU - de Souza, B. F. AU - Rossi, A. L. D. AU - de Carvalho, A. C. P. L. F. C3 - 2011 World Congress on Information and Communication Technologies (WICT), 11-14 Dec. 2011 DA - 2011 DO - 10.1109/WICT.2011.6141418 KW - data analysis data mining learning (artificial intelligence) Resource allocation statistical testing task analysis PB - IEEE PY - 2011 SP - 1193-8 ST - Predicting Execution Time of Machine Learning Tasks using Metalearning T3 - Proceedings of the 2011 World Congress on Information and Communication Technologies (WICT) TI - Predicting Execution Time of Machine Learning Tasks using Metalearning UR - http://dx.doi.org/10.1109/WICT.2011.6141418 ID - 1206 ER - TY - JOUR AB - Knowledge discovery in biomedicine is a time-consuming process starting from the basic research, through preclinical testing, towards possible clinical applications. Crossing of conceptual boundaries is often needed for groundbreaking biomedical research that generates highly inventive discoveries. We demonstrate the ability of a creative literature mining method to advance valuable new discoveries based on rare ideas from existing literature. When emerging ideas from scientific literature are put together as fragments of knowledge in a systematic way, they may lead to original, sometimes surprising, research findings. If enough scientific evidence is already published for the association of such findings, they can be considered as scientific hypotheses. In this chapter, we describe a method for the computer-aided generation of such hypotheses based on the existing scientific literature. Our literature-based discovery of NF-kappaB with its possible connections to autism was recently approved by scientific community, which confirms the ability of our literature mining methodology to accelerate future discoveries based on rare ideas from existing literature. AU - Petric, Ingrid AU - Cestnik, Bojan DA - 2014 DO - 10.1007/978-1-4939-0709-0_10 J2 - Methods Mol Biol KW - *Databases, Bibliographic Animals Autistic Disorder/genetics/metabolism Data Mining/*methods Humans Literature Based Discovery/*methods NF-kappa B/genetics/metabolism LA - eng PY - 2014 SN - 1940-6029 1064-3745 SP - 159-168 ST - Predicting future discoveries from current scientific literature T2 - Methods in molecular biology (Clifton, N.J.) TI - Predicting future discoveries from current scientific literature VL - 1159 ID - 301 ER - TY - CONF AB - Literature-based discovery aims to discover hidden connections between previously disconnected research areas. Heterogeneous bibliographic information network (HBIN) provides a latent, semi-structured, bibliographic information model to signal the potential connections between scientific papers. This paper introduces a novel literature-based discovery method that builds meta path features from HBIN network to predict co-citation links between previously disconnected literatures. We evaluated the performance of our method in predicting future co-citation links between fish oil and Raynaud's syndrome papers. Our experimental results showed that HBIN meta path features could predict future cocitation links between these papers with high accuracy (0.851 F-Measure; 0.845 precision; 0.857 recall), outperforming the existing document similarity algorithms such as LDA, TF-IDF, and Bibliographic Coupling. AU - Sebastian, Y. AU - Siew, E. G. AU - Orimaye, S. O. C3 - Advances in Knowledge Discovery and Data Mining.19th Pacific-Asia Conference, PAKDD 2015, 19-22 May 2015 DA - 2015 DO - 10.1007/978-3-319-18032-8_48 KW - bibliographic systems Citation Analysis data mining information networks learning (artificial intelligence) pattern classification PB - Springer International Publishing PY - 2015 SP - 610-21 ST - Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network T3 - Advances in Knowledge Discovery and Data Mining.19th Pacific-Asia Conference, PAKDD 2015. Proceedings: LNCS 9078 TI - Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network UR - http://dx.doi.org/10.1007/978-3-319-18032-8_48 VL - pt. II ID - 1246 ER - TY - JOUR AB - Background: The performance of separate Intensive Care Unit (ICU) status scoring systems vis-a-vis prediction of outcome is not satisfactory. Computer-based predictive modeling techniques may yield good results but their performance has seldom been extensively compared to that of other mature or emerging predictive models. The objective of the present study was twofold: to propose a prototype meta-level predicting approach concerning Intensive Care Unit (ICU) survival and to evaluate the effectiveness of typical mining models in this context. Methods: Data on 158 men and 46 women, were used retrospectively (75% of the patients survived). We used Glasgow Coma Scale (GCS), Acute Physiology And Chronic Health Evaluation II (APACHE II), Sequential Organ Failure Assessment (SOFA) and Injury Severity Score (ISS) values to structure a decision tree (DTM), a neural network (NNM) and a logistic regression (LRM) model and we evaluated the assessment indicators implementing Receiver Operating Characteristics (ROC) plot analysis. Results: Our findings indicate that regarding the assessment of indicators' capacity there are specific discrete limits that should be taken into account. The Az score +/- SE was 0.8773 +/- 0.0376 for the DTM, 0.8061 +/- 0.0427 for the NNM and 0.8204 +/- 0.0376 for the LRM, suggesting that the proposed DTM achieved a near optimal Az score. Conclusion: The predicting processes of ICU survival may go "one step forward", by using classic composite assessment indicators as variables. AU - Gortzis, Lefteris G. AU - Sakellaropoulos, Filippos AU - Ilias, Ioannis AU - Stamoulis, Konstantinos AU - Dimopoulou, Ioanna DA - 2008/07/26/ DO - 10.1186/1472-6963-8-157 L1 - internal-pdf://2086963638/Gortzis-2008-Predicting ICU survival_ A meta-l.pdf PY - 2008 SN - 1472-6963 SP - 157 ST - Predicting ICU survival: A meta-level approach T2 - Bmc Health Services Research TI - Predicting ICU survival: A meta-level approach UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2516515/pdf/1472-6963-8-157.pdf VL - 8 ID - 2176 ER - TY - CONF AB - Prescribed treatments to patients often result in side effects that may not be known beforehand. Side effects analysis research focuses on specific treatments and targets small groups of patients. In previous work, we presented methods for extracting treatment effects from the Florida State Inpatient Databases (SID), which contain over 2.5 million visit discharges from 1.5 million patients. We classified these effects into positive, neutral, and negative effects. In addition, we proposed an approach for clustering patients based on negative side effects and analyzed them. As an extension to this work, We believe that a system identifying the cluster membership of a patient prior to applying the procedure is highly beneficial. In this paper, we extended our work and introduced a new approach for predicting patients' negative side effects before applying a given meta-action (or procedure). We propose a system that measures the similarity of a new patient to existing clusters, and makes a personalized decision on the patient's most likely negative side effects. We further evaluate our system using SID, which is part of the Healthcare Cost and Utilization Project (HCUP). Our experiments validated our approach and produced desired results. AU - Hajja, A. AU - Touati, H. AU - Ras, Z. W. AU - Studnicki, J. AU - Wieczorkowska, A. A. C3 - New Frontiers in Mining Complex Patterns. Third International Workshop, NFMCP 2014, held in conjunction with ECML-PKDD 2014, 19 Sept. 2014 DA - 2015 DO - 10.1007/978-3-319-17876-9_3 KW - medical computing pattern clustering surgery PB - Springer International Publishing PY - 2015 SP - 41-55 ST - Predicting Negative Side Effects of Surgeries Through Clustering T3 - New Frontiers in Mining Complex Patterns. Third International Workshop, NFMCP 2014, held in conjunction with ECML-PKDD 2014. Revised Selected Papers: LNCS 8983 TI - Predicting Negative Side Effects of Surgeries Through Clustering UR - http://dx.doi.org/10.1007/978-3-319-17876-9_3 ID - 675 ER - TY - THES AB - Increasingly, real world problems require multiple predictions while traditional supervised learning techniques focus on making a single best prediction. For instance in advertisement placement on the web, a list of advertisements is placed on a page with the objective of maximizing click-through rate on that list. In this work, we build an efficient framework for making sets or lists of predictions where the objective is to optimize any utility function which is (monotone) submodular over a list of predictions. Other examples of tasks where multiple predictions are important include: grasp selection in robotic manipulation where the robot arm must evaluate a list of grasps with the aim of finding a successful grasp, as early on in the list as possible and trajectory selection for mobile ground robots where given the computational time limits, the task is to select a list of trajectories from a much larger set of feasible trajectories for minimizing expected cost of traversal. In computer vision tasks like frame-to-frame target tracking in video, multiple hypotheses about the target location and pose must be considered by the tracking algorithm. For each of these cases, we optimize for the content and order of the list of predictions. Crucially-- and in contrast with existing work on list prediction --our approach to predicting lists is based on very simple reductions of the problem of predicting lists to a series of simple classification/regression tasks. This provides powerful flexibility to use any existing prediction method while ensuring rigorous guarantees on prediction performance. We analyze these meta-algorithms for list prediction in both the online, no-regret and generalization settings. Furthermore we extend the methods to make multiple predictions in structured output domains where even a single prediction is a combinatorial object, e.g. , challenging vision tasks like semantic scene labeling and monocular pose estimation. AU - Dey, D. CY - United States DA - 2015 KW - Algorithms Clutter Combinatorial analysis Computer vision data mining Drones Image processing Information processing Learning machines Mathematical prediction Online Systems Pattern recognition Position(location) Regression Analysis Remotely piloted vehicles Robotics Rotary wing aircraft Semantics Target classification Target detection Theses Trajectories Video signal N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 2015 SP - 120p ST - Predicting Sets and Lists: Theory and Practice TI - Predicting Sets and Lists: Theory and Practice ID - 920 ER - TY - JOUR AB - Toronto's Census Metropolitan Area (CMA) has faced on-going challenges concerning its demographic shifts in the urban and rural fringe tending to become a megacity over the coming decades, due to rapid population increase and urban amalgamation. For this research we examine past urban land use transitions in Toronto's CMA based on collected remote sensing data between 1973 and 2010. A Markov Cellular Automata approach is used deriving the CMA urban future based on the existing and planned strategies for Ontario. This is done by a combination of multi-criteria evaluation processes originating transition probabilities that allow a better understanding of the regions urban future by 2030. While the transition probabilities are incorporated from the traditional Markov Chain process, the variables for suitability are measured through a text mining approach, by incorporating several planning documents. The result offers a more integrative vision of policymaker's preference of future planning instruments, allowing for the creation of a better integration of propensity of future growth indicators. The northern part of Toronto is expected to register continuous growth in the coming decades, while agricultural land will continue to decrease. Urban areas after 2020 tend to become more clustered suggesting an importance of planning of green spaces within the Toronto. AU - Vaz, E. AU - Arsanjani, J. J. DA - 2015/06// DO - 10.3808/jei.201500299 IS - 2 PY - 2015 SN - 1726-2135 SP - 71-80 ST - Predicting Urban Growth of the Greater Toronto Area - Coupling a Markov Cellular Automata with Document Meta-Analysis T2 - Journal of Environmental Informatics TI - Predicting Urban Growth of the Greater Toronto Area - Coupling a Markov Cellular Automata with Document Meta-Analysis VL - 25 ID - 1930 ER - TY - JOUR AB - Introduction: The concepts of causation and prediction are different, and have different implications for practice. This distinction is applied here to studies of the problem of student attrition (although it is more widely applicable). Background: Studies of attrition from nursing courses have tended to concentrate on causation, trying, largely unsuccessfully, to elicit what causes dropout. However, the problem may more fruitfully be cast in terms of predicting who is likely to drop out. Methods: One powerful method for attempting to make predictions is rule induction. This paper reports the use of the Answer Tree package from SPSS for that purpose. Data: The main data set consisted of 3978 records on 528 nursing students, split into a training set and a test set. The source was standard university student records. Results: The method obtained 84% sensitivity, 70% specificity, and 94% accuracy on previously unseen cases. Discussion: The method requires large amounts of high quality data. When such data are available, rule induction offers a way to reduce attrition. It would be desirable to compare its results with those of predictions made by tutors using more informal conventional methods. (C) 2007 Elsevier Ltd. All rights reserved. AU - Moseley, Laurence G. AU - Mead, Donna M. DA - 2008/05// DO - 10.1016/j.nedt.2007.07.012 IS - 4 PY - 2008 SN - 0260-6917 SP - 469-475 ST - Predicting who will drop out of nursing courses: A machine learning exercise T2 - Nurse Education Today TI - Predicting who will drop out of nursing courses: A machine learning exercise VL - 28 ID - 1995 ER - TY - JOUR AB - Models for prediction of allogeneic hematopoietic stem transplantation (HSCT) related mortality partially account for transplant risk. Improving predictive accuracy requires understating of prediction limiting factors, such as the statistical methodology used, number and quality of features collected, or simply the population size. Using an in-silico approach (i.e., iterative computerized simulations), based on machine learning (ML) algorithms, we set out to analyze these factors. A cohort of 25,923 adult acute leukemia patients from the European Society for Blood and Marrow Transplantation (EBMT) registry was analyzed. Predictive objective was non-relapse mortality (NRM) 100 days following HSCT. Thousands of prediction models were developed under varying conditions: increasing sample size, specific subpopulations and an increasing number of variables, which were selected and ranked by separate feature selection algorithms. Depending on the algorithm, predictive performance plateaued on a population size of 6,611-8,814 patients, reaching a maximal area under the receiver operator characteristic curve (AUC) of 0.67. AUCs' of models developed on specific subpopulation ranged from 0.59 to 0.67 for patients in second complete remission and receiving reduced intensity conditioning, respectively. Only 3-5 variables were necessary to achieve near maximal AUCs. The top 3 ranking variables, shared by all algorithms were disease stage, donor type, and conditioning regimen. Our findings empirically demonstrate that with regards to NRM prediction, few variables "carry the weight" and that traditional HSCT data has been "worn out". "Breaking through" the predictive boundaries will likely require additional types of inputs. AU - Shouval, Roni AU - Labopin, Myriam AU - Unger, Ron AU - Giebel, Sebastian AU - Ciceri, Fabio AU - Schmid, Christoph AU - Esteve, Jordi AU - Baron, Frederic AU - Gorin, Norbert Claude AU - Savani, Bipin AU - Shimoni, Avichai AU - Mohty, Mohamad AU - Nagler, Arnon DA - 2016/03/04/ DO - 10.1371/journal.pone.0150637 IS - 3 PY - 2016 SN - 1932-6203 SP - e0150637 ST - Prediction of Hematopoietic Stem Cell Transplantation Related Mortality-Lessons Learned from the In-Silico Approach: A European Society for Blood and Marrow Transplantation Acute Leukemia Working Party Data Mining Study T2 - Plos One TI - Prediction of Hematopoietic Stem Cell Transplantation Related Mortality-Lessons Learned from the In-Silico Approach: A European Society for Blood and Marrow Transplantation Acute Leukemia Working Party Data Mining Study VL - 11 ID - 2055 ER - TY - JOUR AU - Bellazzi, Riccardo AU - Zupan, Blaz DA - 2008 DP - Google Scholar IS - 2 PY - 2008 SP - 81-97 ST - Predictive data mining in clinical medicine T2 - International journal of medical informatics TI - Predictive data mining in clinical medicine: current issues and guidelines UR - http://www.sciencedirect.com/science/article/pii/S1386505606002747 https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.ijmijournal.com%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLGZpQFlLdJmhw%253D%253D%26MAID%3DH%252F2unqwFoNWEGco70MkYkQ%253D%253D%26JSESSIONID%3Daaa6wWxBZ3-uj-KYvYwDv%26ORIGIN%3D907407217%26RD%3DRD&acw=&utt= http://www.ijmijournal.com/article/S1386-5056(06)00274-7/abstract?cc=y= VL - 77 Y2 - 2016/09/24/16:09:56 ID - 2463 ER - TY - CONF AB - Risk analysis of the pathologies concerning the musculoskeletal system of the lower limbs is an importance for medical diagnosis. During medical consultation, the clinicians identify a pathology and establish a diagnosis by the connexion between symptoms with his medical knowledges. The outcome is directly depending accuracy of the diagnosis and the indication of the therapy. To improve the efficiency of this procedure, we propose to construct predictive mathematical models based on three data mining methods: decision tree or artificial neural network or support vector machines. Our approach allowed to study the relationship between different pathological parameters concerning the musculoskeletal system of the lower limbs. A meta-database is developed for synchronizing input data with classification process. This database included geometrical, kinematical, morphological data and mechanical properties of the musculoskeletal system. As example, rotational abnormality (RA) pathology is studied to deduce its principal risks factors (defined as significant pathological parameters). The performance comparison of three data mining techniques on the RA instances is also reported. We found that decision tree performed better than others methods on the RA instances. Our mathematical approach permitted to apply evidence of the medical diagnostic gained from the scientific method to medical practice. 2009 Springer Berlin Heidelberg. AU - Dao, T. T. AU - Marin, F. AU - Ho Ba Tho, M. C. C3 - 4th European Conference of the International Federation for Medical and Biological Engineering, ECIFMBE 2008, November 23, 2008 - November 27, 2008 DA - 2008 DO - 10.1007/978-3-540-89208-3_430 KW - data mining decision trees Diagnosis Diseases Mathematical models Mechanical properties mining Musculoskeletal system Neural networks Pathology risk analysis Risk Assessment Support Vector Machines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2008 SN - 16800737 SP - 1803-1807 ST - Predictive mathematical models based on data mining methods of the pathologies of the lower limbs T3 - IFMBE Proceedings TI - Predictive mathematical models based on data mining methods of the pathologies of the lower limbs UR - http://dx.doi.org/10.1007/978-3-540-89208-3_430 VL - 22 ID - 1708 ER - TY - RPRT AB - This is a systematic review of the state-of-the-art of underground mining and excavation technology in the U.S. as applied to salt, limestone, shale, and granite. Chapter 2 covers the basic characteristics of these rock types, the most frequently used underground mining methods, shaft and slope entry construction, equipment, and safety and productivity data. Chapters 3 and 4 summarize underground salt and limestone mining in the U.S. Chapter 5 shows that large amounts of thick shale exist in the U.S., but little is mined. Chapter 6 discusses underground excavations into granite-type rocks. Suggestions are given in the last chapter for further study. (ERA citation 02:030634) CY - United States DA - 1976/12// KW - Data compilation Excavation Granites Limestone Reviews Salt deposits Shales Underground mining Usa N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 1976 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 264p ST - Preliminary State-of-the-Art Survey: Mining Techniques for Salt and Other Rock Types TI - Preliminary State-of-the-Art Survey: Mining Techniques for Salt and Other Rock Types ID - 933 ER - TY - JOUR AB - Large-scale analysis of EEG and other physiological measures promises new insights into brain processes and more accurate and robust brain-computer interface models. However, the absence of standardized vocabularies for annotating events in a machine understandable manner, the welter of collection-specific data organizations, the difficulty in moving data across processing platforms, and the unavailability of agreed-upon standards for preprocessing have prevented large-scale analyses of EEG. Here we describe a "containerized" approach and freely available tools we have developed to facilitate the process of annotating, packaging, and preprocessing EEG data collections to enable data sharing, archiving, large-scale machine learning/data mining and (meta-)analysis. The EEG Study Schema (ESS) comprises three data "Levels," each with its own XML-document schema and file/folder convention, plus a standardized (PREP) pipeline to move raw (Data Level 1) data to a basic preprocessed state (Data Level 2) suitable for application of a large class of EEG analysis methods. Researchers can ship a study as a single unit and operate on its data using a standardized interface. ESS does not require a central database and provides all the metadata data necessary to execute a wide variety of EEG processing pipelines. The primary focus of ESS is automated in-depth analysis and meta-analysis EEG studies. However, ESS can also encapsulate meta-information for the other modalities such as eye tracking, that are increasingly used in both laboratory and real-world neuroimaging. ESS schema and tools are freely available at www.eegstudy.org and a central catalog of over 850 GB of existing data in ESS format is available at studycatalog.org. These tools and resources are part of a larger effort to enable data sharing at sufficient scale for researchers to engage in truly large-scale EEG analysis and data mining (BigEEG.org). AU - Bigdely-Shamlo, Nima AU - Makeig, Scott AU - Robbins, Kay A. DA - 2016 DO - 10.3389/fninf.2016.00007 J2 - Front Neuroinform KW - BCI EEG large scale analysis neuroinformatics L1 - internal-pdf://2444348467/Bigdely-Shamlo-2016-Preparing Laboratory and R.pdf LA - eng PY - 2016 SN - 1662-5196 1662-5196 SP - 7 ST - Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach T2 - Frontiers in neuroinformatics TI - Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4782059/pdf/fninf-10-00007.pdf VL - 10 ID - 124 ER - TY - CONF AB - Since ERP systems, like SAP, support the backbone operations of companies, their transaction logs provide valuable insight into the companies' business processes. In SAP every transaction is stored and linked to relevant documents, organizational structures and other process-relevant information. However, the complexities and size of SAP logs make it hard to analyze the business processes directly with current process mining tools. This paper describes an ERP log analysis system that allows the users to define at a meta level how events, resources and their inter-relations are stored and transformed for use in process mining. We show how the system is applied to extract and transform related SAP transaction data for the ProM process mining tool. 2008 Springer-Verlag Berlin Heidelberg. AU - Ingvaldsen, Jon Espen AU - Gulla, Jon Atle C3 - 5th International Conference on Business Process Management, BPM 2007, September 24, 2007 - September 24, 2007 DA - 2008 DO - 10.1007/978-3-540-78238-4_5 KW - Administrative data processing data mining Information systems PROM N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2008 SN - 03029743 SP - 30-41 ST - Preprocessing support for large scale process mining of SAP transactions T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Preprocessing support for large scale process mining of SAP transactions UR - http://dx.doi.org/10.1007/978-3-540-78238-4_5 VL - 4928 LNCS ID - 1429 ER - TY - JOUR AB - There have been many reports of clinical and experimental researches of microacupuncture therapy, the relevant systematic works, teaching materials and national standards in recent decades. It shows that microacupuncture system has been formed and its influence has been promoted. While the rapid development of microacupuncture therapy, there are the problems and contradictions on nomenclature, explanation of theoretical basis, optimal indications, and multiple systems and schools, etc. All the above have blocked the clinical application and development. It is considered that we need to unify the nomenclature, condense the theoretical basis, clear the optimal indications, promote the exchange and blend among different schools and sum up the outcomes by systematic review and data mining technique. AU - Li, Xiaofeng AU - Sun, Yanhui AU - Xu, Xiaokang AU - Zhang, Xin AU - Zhang, Xuanping AU - Yuzhu, Du AU - Jia, Chunsheng DA - 2016/05//undefined IS - 5 J2 - Zhongguo Zhen Jiu LA - chi PY - 2016 SN - 0255-2930 0255-2930 SP - 557-560 ST - [Present situation and development direction of microacupuncture therapy] T2 - Zhongguo zhen jiu = Chinese acupuncture & moxibustion TI - [Present situation and development direction of microacupuncture therapy] VL - 36 ID - 295 ER - TY - JOUR AN - 112536081. Language: English. Entry Date: 20160201. Revision Date: 20160721. Publication Type: Article. Journal Subset: Biomedical AU - Cardoso, Rhanderson AU - Garcia, Daniel AU - Fernandes, Gilson AU - He, L. I. AU - Lichtenberger, Paola AU - Viles-Gonzalez, Juan AU - Coffey, James O. AU - Mitrani, Raul D. DA - 2016/02// DB - c8h DO - 10.1111/jce.12845 DP - EBSCOhost IS - 2 J2 - Journal of Cardiovascular Electrophysiology KW - Atrial Fibrillation -- Epidemiology -- United States Bundle-Branch Block -- Etiology Cardiac Patients -- Classification Cochrane Library Confidence Intervals Data Analysis Software Data Mining -- Methods Descriptive Statistics Embase Heart Conduction System -- Pathology Human meta analysis Myocardial Diseases -- Epidemiology -- United States Odds Ratio PubMed P-Value Systematic review Trypanosomiasis -- Complications United States L1 - internal-pdf://0337453826/Cardoso-2016-The Prevalence of Atrial Fibrilla.pdf N1 - Editorial Board Reviewed; Expert Peer Reviewed; Peer Reviewed; USA. Special Interest: Evidence-Based Practice. NLM UID: 9010756. PY - 2016 SN - 1045-3873 SP - 161-169 ST - The Prevalence of Atrial Fibrillation and Conduction Abnormalities in Chagas' Disease: A Meta-Analysis T2 - Journal of Cardiovascular Electrophysiology TI - The Prevalence of Atrial Fibrillation and Conduction Abnormalities in Chagas' Disease: A Meta-Analysis UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=112536081&scope=site http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/jce.12845/asset/jce12845.pdf?v=1&t=itiqxde3&s=b74486b60bf3408fa0cde7a4f4eafc69543abd91 VL - 27 ID - 388 ER - TY - JOUR AB - Nowadays, coal workers' pneumoconiosis (CWP) is still believed to be the main occupational disease in China. However, information on the exact prevalence of the disease is not available. Therefore, the aims of our investigation were to provide the missing information in China by conducting a systematic evaluation of published data from 2001 to 2011 and to compare the prevalence of CWP with those in other countries. Published reports about the prevalence of CWP were searched from PudMed(English language databases), Foreign Medical Journal Full-Text Service Database (FMJS, English language databases), Chinese Journal Full-Text Database (CJFD, Chinese language databases), Chongqing VIP Chinese Science and Technology Journals Database (VIP, Chinese language databases), Chinese Biomedical Literature Database (CBM, Chinese language databases) and Chinese Medical Association Journals Database (CMAJ, Chinese language databases). The quality of identified reports was strictly evaluated using predetermined inclusion and exclusion criteria. Based on these criteria, 11 reports were selected. Then, the content of these reports were reviewed and the needed information was extracted. Meta-analysis was performed on the extracted data. The R2.15.1 software was applied for statistical analysis. The total populations from these reports were 173,646 and 10,821 for dust-exposed coal workers and patients with CWP, respectively. The pooled prevalence of CWP was 6.02% (95% CI: 3.43-9.26%) and the pooled rate of CWP patients combined with tuberculosis was 10.82% (95% CI: 8.26-13.66%). The prevalence was analyzed according to the geographic areas of the study, years of the investigation, duration of dust exposure, coal rank, stages of CWP, types of work and coal-mining categories, etc. Among them, the prevalence of CWP in locally owned mines (9.86%; 95% CI: 1.25-25.17%) was significantly higher than that of state-owned mines (4.83%; 95% CI: 2.35-8.13%) (P<0.05). Publication bias was assessed by the Egger's test which showed insignificant results (P>0.05). It was concluded that the prevalence of CWP were still high in China compared to UK (0.8%, during 1998-2000) and USA (3.2% in 2000s). In addition, the conditions in locally owned mines had caused more CWP than that of state-owned mines. Our data clearly show that regulatory agencies in China need to step up their effort in implementing more rigorous policies to protect coal miners, especially those in locally owned mines. AU - Mo, Jingfu AU - Wang, Lu AU - Au, William AU - Su, Min DA - 2014/01//undefined DO - 10.1016/j.ijheh.2013.03.006 IS - 1 J2 - Int J Hyg Environ Health KW - Anthracosis/diagnosis/*epidemiology China China/epidemiology Coal Mining Coal workers' pneumoconiosis Dust/analysis Humans Meta-analysis Occupational Diseases/diagnosis/*epidemiology Occupational Exposure/analysis Prevalence Prevalence of pneumoconiosis LA - eng PY - 2014 SN - 1618-131X 1438-4639 SP - 46-51 ST - Prevalence of coal workers' pneumoconiosis in China: a systematic analysis of T2 - International journal of hygiene and environmental health TI - Prevalence of coal workers' pneumoconiosis in China: a systematic analysis of VL - 217 ID - 100 ER - TY - CHAP AB - Background Background Plasmodium vivax infections are an important contributor to the malaria burden worldwide. The World Health Organization recommends a 14-day course of primaquine (0.25 mg/kg/day, giving an adult dose of 15 mg/day) to eradicate the liver stage of the parasite and prevent relapse of the disease. Many people find a 14-day primaquine regimen difficult to complete, and there is a potential risk of haemolytic anaemia in people with glucose-6-phosphate-dehydrogenase enzyme (G6PD) deficiency. This review evaluates primaquine in P. vivax, particularly alternatives to the standard 14-day course. Objectives Objectives To compare alternative primaquine regimens to the recommended 14-day regimen for preventing relapses (radical cure) in people with P. vivax malaria treated for blood stage infection with chloroquine. We also summarize trials comparing primaquine to no primaquine that led to the recommendation for the 14-day regimen. Search methods Search methods We searched the Cochrane Infectious Diseases Group's Specialized Register, CENTRAL (The Cochrane Library), MEDLINE, EMBASE and LILACS up to 8 October 2013. We checked conference proceedings, trial registries and reference lists and contacted researchers and pharmaceutical companies for eligible studies. Selection criteria Selection criteria Randomized controlled trials (RCTs) and quasi-RCTs comparing various primaquine dosing regimens with the standard primaquine regimen (15 mg/day for 14 days), or with no primaquine, in people with vivax malaria treated for blood stage infection with chloroquine. Data collection and analysis Data collection and analysis We independently assessed trial eligibility, trial quality, and extracted data. We calculated risk ratios (RR) with 95% confidence intervals (CI) for dichotomous data, and used the random-effects model in meta-analyses if there was significant heterogeneity. We assessed the overall quality of the evidence using the GRADE approach. Main results Main results We included 15 trials (two cluster-RCTs) of 4377 adult and child participants. Most trials excluded people with G6PD deficiency. Trials compared various regimens of primaquine with the standard primaquine regimen, or with placebo or no treatment. All trials treated blood stage infection with chloroquine. Alternative primaquine regimens compared to 14-day primaquine Relapse rates were higher over six months with the five-day primaquine regimen than the standard 14-day regimen (RR 10.05, 95% CI 2.82 to 35.86; two trials, 186 participants, moderate quality evidence). Similarly, relapse over six months was higher with three days of primaquine than the standard 14-day regimen (RR 3.18, 95% CI 2.1 to 4.81; two trials, 262 participants, moderate quality evidence; six months follow-up); and with primaquine for seven days followed up over two months, compared to 14-day primaquine (RR 2.24, 95% CI 1.24 to 4.03; one trial, 126 participants, low quality evidence). Relapse with once-weekly supervised primaquine for eight weeks was little different over nine months follow-up compared to 14-day self-administered primaquine in one small study (RR 2.97, 95% CI 0.34 to 25.87; one trial, 129 participants, very low quality evidence). Primaquine regimens compared to no primaquine The number of people that relapsed was similar between people given five days of primaquine or given placebo or no primaquine (four trials, 2213 participants, high quality evidence; follow-up six to 15 months); but lower with 14 days of primaquine (RR 0.6; 95% CI 0.48 to 0.75; ten trials, 1740 participants, high quality evidence; follow-up seven weeks to 15 months). No serious adverse events were reported. Treatment-limiting adverse events were rare and non-serious adverse events were mild and transient. Trial authors reported that people tolerated the drugs. We did not find trials comparing higher dose primaquine regimens (0.5 mg/kg/day or more) for five days or more with the 14-day regimen. Authors' conclusions Authors' conclusions The analysis confirms the current World Health Organization recommendation for 14-day primaquine (15 mg/day) to prevent relapse of vivax malaria. Shorter primaquine regimens at the same daily dose are associated with higher relapse rates. The comparative effects with weekly primaquine are promising, but require further trials to establish equivalence or non-inferiority compared to the 14-day regimen in high malaria transmission settings. AU - Galappaththy, Gawrie N. L. AU - Tharyan, Prathap AU - Kirubakaran, Richard DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD004389.pub3/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2013 ST - Primaquine for preventing relapse in people with Plasmodium vivax malaria treated with chloroquine T2 - Cochrane Database of Systematic Reviews TI - Primaquine for preventing relapse in people with Plasmodium vivax malaria treated with chloroquine UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD004389.pub3/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD004389.pub3/full Y2 - 2016/09/18/20:15:38 ID - 422 ER - TY - JOUR AB - BACKGROUND: Priority scoring tools are moot as means for dealing with burgeoning elective surgical waiting lists. There is ongoing development work in New Zealand, Canada and the UK. This emerging international perspective is invaluable in determining the application of these tools and addressing any pitfalls. METHODS: A systematic electronic literature review was performed. Information was also retrieved using a search of reference lists of all papers included in the review and contact with those who were involved in the development of such criteria. RESULTS: The ethical basis of prioritization differed among priority scoring tools and in a number was not stated. The majority of tools covered criteria for specific procedures. Delphi consensus methods and regression were the predominant methods for -deter-mining -specific criteria. Authors' opinions were the main source of generic criteria. Linear and non-linear models or matrices sum-mated criteria. CONCLUSION: There is debate over the ethical basis for prioritization. It is a concern that it is not addressed in many studies. The development of generic criteria showed a dearth of consensus approaches that represents a significant gap in our knowledge. On the aspects of summation and weighting, the impact of assumptions on the prioritization of patients may not have been fully explored. AU - MacCormick, Andrew D. AU - Collecutt, Wayne G. AU - Parry, Bryan R. DA - 2003/08//undefined IS - 8 J2 - ANZ J Surg KW - *Elective Surgical Procedures *Waiting Lists Health Care and Public Health Humans Patient Selection LA - eng PY - 2003 SN - 1445-1433 1445-1433 SP - 633-642 ST - Prioritizing patients for elective surgery: a systematic review T2 - ANZ journal of surgery TI - Prioritizing patients for elective surgery: a systematic review VL - 73 ID - 298 ER - TY - JOUR AB - OBJECTIVE: Effective data sharing is critical for comparative effectiveness research (CER), but there are significant concerns about inappropriate disclosure of patient data. These concerns have spurred the development of new technologies for privacy-preserving data sharing and data mining. Our goal is to review existing and emerging techniques that may be appropriate for data sharing related to CER. MATERIALS AND METHODS: We adapted a systematic review methodology to comprehensively search the research literature. We searched 7 databases and applied 3 stages of filtering based on titles, abstracts, and full text to identify those works most relevant to CER. RESULTS: On the basis of agreement and using the arbitrage of a third party expert, we selected 97 articles for meta-analysis. Our findings are organized along major types of data sharing in CER applications (ie, institution-to-institution, institution hosted, and public release). We made recommendations based on specific scenarios. LIMITATION: We limited the scope of our study to methods that demonstrated practical impact, eliminating many theoretical studies of privacy that have been surveyed elsewhere. We further limited our study to data sharing for data tables, rather than complex genomic, set valued, time series, text, image, or network data. CONCLUSION: State-of-the-art privacy-preserving technologies can guide the development of practical tools that will scale up the CER studies of the future. However, many challenges remain in this fast moving field in terms of practical evaluations and applications to a wider range of data types. AU - Jiang, Xiaoqian AU - Sarwate, Anand D. AU - Ohno-Machado, Lucila DA - 2013/08//undefined DO - 10.1097/MLR.0b013e31829b1d10 IS - 8 Suppl 3 J2 - Med Care KW - *Confidentiality *Software Comparative Effectiveness Research/*organization & administration Cooperative Behavior Databases, Bibliographic Humans L1 - internal-pdf://1686518107/Jiang-2013-Privacy technology to support data.pdf LA - eng PY - 2013 SN - 1537-1948 0025-7079 SP - S58-65 ST - Privacy technology to support data sharing for comparative effectiveness research: a systematic review T2 - Medical care TI - Privacy technology to support data sharing for comparative effectiveness research: a systematic review UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3728160/pdf/nihms491340.pdf VL - 51 ID - 72 ER - TY - CONF AB - In our increasingly competitive world, today companies are implementing improvement strategies in every department and, in particular, in their manufacturing systems. This paper discusses the use of a global method based on a knowledge-based approach for the development of a software tool for modelling and analysis of production flows. The main goal is the improvement of the performance of the production line. This method is based on data processing and data mining techniques and will help the acquisition of the meta-knowledge needed for the searching of correlations among different events in the line. Different kind of techniques will be used: graphic representation of the production, identification of specific behaviors and research of correlations among events on the production line. Most of these techniques are based on statistical and probabilistic analyses. Events are expressed under the form of phenomena. To carry on high level analyses, a stochastic approach will be used to identify specific models, such as breakdown models which are the expression of specific correlations between phenomena. Breakdowns models will be the base to define, finally, action plans to improve the performance of the manufacturing lines. AU - Bouche, Philippe AU - Zanni, Cecilia C3 - Summer Computer Simulation Conference 2008, SCSC 2008, Part of the 2008 Summer Simulation Multiconference, SummerSim 2008, June 16, 2008 - June 19, 2008 DA - 2008 KW - Automobile manufacture Behavioral research Data processing Discrete event simulation Expert systems knowledge engineering Productivity Stochastic models Stochastic systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - The Society for Modeling and Simulation International PY - 2008 SP - 249-256 ST - PRO@CTIF: An expert system to improve performance of production lines T3 - Summer Computer Simulation Conference 2008, SCSC 2008, Part of the 2008 Summer Simulation Multiconference, SummerSim 2008 TI - PRO@CTIF: An expert system to improve performance of production lines ID - 1442 ER - TY - JOUR AB - Recent findings show that online reviews, blogs, and discussion forums on chronic diseases and drugs are becoming important supporting resources for patients. Extracting information from these substantial bodies of texts is useful and challenging. We developed a generative probabilistic aspect mining model (PAMM) for identifying the aspects/topics relating to class labels or categorical meta-information of a corpus. Unlike many other unsupervised approaches or supervised approaches, PAMM has a unique feature in that it focuses on finding aspects relating to one class only rather than finding aspects for all classes simultaneously in each execution. This reduces the chance of having aspects formed from mixing concepts of different classes; hence the identified aspects are easier to be interpreted by people. The aspects found also have the property that they are class distinguishing: They can be used to distinguish a class from other classes. An efficient EM-algorithm is developed for parameter estimation. Experimental results on reviews of four different drugs show that PAMM is able to find better aspects than other common approaches, when measured with mean pointwise mutual information and classification accuracy. In addition, the derived aspects were also assessed by humans based on different specified perspectives, and PAMM was found to be rated highest. AU - Cheng, V. C. AU - Leung, C. H. C. AU - Jiming, Liu AU - Milani, A. DA - 2014/08// DO - 10.1109/TKDE.2013.175 IS - 8 J2 - IEEE Transactions on Knowledge and Data Engineering KW - data mining Diseases Drugs medical computing Parameter estimation Probability text analysis PY - 2014 SN - 1041-4347 SP - 2002-13 ST - Probabilistic Aspect Mining Model for Drug Reviews T2 - IEEE Transactions on Knowledge and Data Engineering TI - Probabilistic Aspect Mining Model for Drug Reviews UR - http://dx.doi.org/10.1109/TKDE.2013.175 VL - 26 ID - 1777 ER - TY - JOUR AB - Colombia is one of the largest per capita mercury polluters in the world as a consequence of its artisanal gold mining activities. The severity of this problem in terms of potential health effects was evaluated by means of a probabilistic risk assessment carried out in the twelve departments (or provinces) in Colombia with the largest gold production. The two exposure pathways included in the risk assessment were inhalation of elemental Hg vapors and ingestion of fish contaminated with methyl mercury. Exposure parameters for the adult population (especially rates of fish consumption) were obtained from nation-wide surveys and concentrations of Hg in air and of methyl-mercury in fish were gathered from previous scientific studies. Fish consumption varied between departments and ranged from 0 to 0.3 kg d(-1). Average concentrations of total mercury in fish (70 data) ranged from 0.026 to 3.3 mug g(-1). A total of 550 individual measurements of Hg in workshop air (ranging fromCompilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 SP - Wuhan-University of Technology (WUT); World Research Institutes (WRI) ST - Proceedings - 2010 2nd WRI World Congress on Software Engineering, WCSE 2010 T3 - Proceedings - 2010 2nd WRI World Congress on Software Engineering, WCSE 2010 TI - Proceedings - 2010 2nd WRI World Congress on Software Engineering, WCSE 2010 VL - 2 ID - 548 ER - TY - CONF AB - The proceedings contain 159 papers. The topics discussed include: the optimization of network text filtering model based on the hownet and concept expansion; business competitors analysis based on rough set theory: a case of business partner dynamic selection; the study on early warning of online public crisis based on intelligent meta search engine; research of intelligent intrusion detection system based on web data mining technology; forecasting exchange rate volatility with linear ma model and nonlinear GABP neural network; the use of grey Verhulst model in the prediction of operating activity cash flow; the forecast of price index based on wavelet neural network; micro-foundation of industrial clusters' evolution: implications from a simulation approach; business cycle index forecasting of grey model optimized by genetic algorithm; and least square support vector machine based on improved particle swarm optimization to short-term forecasting. C3 - 4th International Conference on Business Intelligence and Financial Engineering, BIFE 2011, October 17, 2011 - October 18, 2011 DA - 2011 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 SP - Cent.-China Normal Univ., Dep. Inf. Manage.; National Natural Science Foundation of China (NSFC); Cent. Forecast. Sci. (CEFS) Chin. Acad. Sci. (CAS); Key Lab. Manage., Decis. Inf. Syst. (MADIS) CAS; Electronic Commerce Research Center of Hubei Province ST - Proceedings - 2011 4th International Conference on Business Intelligence and Financial Engineering, BIFE 2011 T3 - Proceedings - 2011 4th International Conference on Business Intelligence and Financial Engineering, BIFE 2011 TI - Proceedings - 2011 4th International Conference on Business Intelligence and Financial Engineering, BIFE 2011 ID - 609 ER - TY - CONF AB - The proceedings contain 58 papers. The topics discussed include: the risk of using the Q heterogeneity estimator for software engineering experiments; using visual text mining to support the study selection activity in systematic literature reviews; an empirical investigation of systematic reviews in software engineering; one technique is not enough: a comparison of vulnerability discovery techniques; a systematic mapping study on software engineering testbeds; a case study of concolic testing tools and their limitations; exploring software measures to assess program comprehension; how good is your comment? a study of comments in java programs; end-user programmers and their communities: an artifact-based analysis ; architecture an experimental evaluation of the impact of system sequence diagrams and system operation contracts on the quality of the domain model; experimental analysis of textual and graphical representations for software architecture design; and how humans merge UML-models. C3 - 2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011, September 19, 2011 - September 23, 2011 DA - 2011 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 SN - 19493770 SP - Microsoft-Research; Alberta Innovates; Siemens; University of Calgary; RIM ST - Proceedings - 2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011 T3 - International Symposium on Empirical Software Engineering and Measurement TI - Proceedings - 2011 5th International Symposium on Empirical Software Engineering and Measurement, ESEM 2011 ID - 495 ER - TY - CONF AB - The proceedings contain 13 papers. The topics discussed include: meta-model based knowledge discovery; dealing with domain knowledge in association rules mining - several experiments; a generalization of blocking and windowing algorithms for duplicate detection; a process provenance service system for scientific data analysis and sharing; a database model for heterogeneous spatial collections: definition and algebra; a purpose based usage access control model for e-healthcare services; five examples of web-services for illustrating requirements for security architecture; building a distributed authenticating CDN; a multicriteria recommendation method from data with missing rating scores; and a cross-media framework for personalized learning systems. C3 - 2nd International Conference on Data and Knowledge Engineering, ICDKE 2011, September 6, 2011 - September 6, 2011 DA - 2011 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 ST - Proceedings - 2011 International Conference on Data and Knowledge Engineering, ICDKE 2011 T3 - Proceedings - 2011 International Conference on Data and Knowledge Engineering, ICDKE 2011 TI - Proceedings - 2011 International Conference on Data and Knowledge Engineering, ICDKE 2011 ID - 534 ER - TY - CONF AB - The proceedings contain 72 papers. The topics discussed include: an empirical analysis of meta-learning for the automatic choice of architecture and components in ensemble systems; cost-sensitive measures of algorithm similarity for meta-learning; improving classifiers and regions of competence in dynamic ensemble selection; using artificial datasets to analyze how cardinality and density influence multi-label learning; Portuguese part-of-speech tagging with large margin structure learning; extracting semantic information from patent claims using phrasal structure annotations; sentiment categorization on a Creole language with lexicon-based and machine learning techniques; building a language model for local coherence in multi-document summaries using a discourse-enriched entity-based model; and the role of text pre-processing in opinion mining on a social media language dataset. C3 - 3rd Brazilian Conference on Intelligent Systems, BRACIS 2014, October 19, 2014 - October 23, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2014 SP - 459 ST - Proceedings - 2014 Brazilian Conference on Intelligent Systems, BRACIS 2014 T3 - Proceedings - 2014 Brazilian Conference on Intelligent Systems, BRACIS 2014 TI - Proceedings - 2014 Brazilian Conference on Intelligent Systems, BRACIS 2014 ID - 528 ER - TY - CONF AB - The proceedings contain 78 papers. The topics discussed include: a mixture language model for class-attribute mining from biomedical literature digital library; analysis of multiplex gene expression maps obtained by voxelation; energy profile and secondary structure impact shRNA efficacy; meta analysis of microarray data using gene regulation pathways; frequency sorting method for spectral analysis of DNA sequences; knowledge discovery in clinical performance of cancer patients; discovering frequent patterns of functional associations in protein interaction networks for function prediction; using gene ontology to enhance effectiveness of similarity measures for microarray data; correlations of length distributions between non-coding and coding sequences of arabidopsis thaliana; and identifying interface elements implied in protein-protein interactions using statistical tests and frequent item sets. C3 - 2008 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008, November 3, 2008 - November 5, 2008 DA - 2008 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2008 ST - Proceedings - IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008 T3 - Proceedings - IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008 TI - Proceedings - IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2008 ID - 721 ER - TY - CONF A2 - Dasarathy, B. V. AB - The proceedings contains 27 papers from the conference on SPIE: Data Mining and Knowledge Discovery: Theory, Tools and Technology VI. The topics discussed include attributes significance elucidation as a knowledge discovery tool under case-based reasoning; cluster analysis of long time-series medical datasets; retrieval using texture features in high-resolution multispectral satellite imagery; discovering social groups without having relational data and code-concatenation-based multiple classifier systems for automatic target recognition. C3 - Data Mining and Knowledge Discovery: Theory, Tools, and Technology VI, April 12, 2004 - April 13, 2004 DA - 2004 KW - Database systems data mining Error correction Fuzzy sets Genetic algorithms Graph theory Image compression image retrieval Knowledge acquisition Learning systems Mathematical models Probability Problem solving REMOTE SENSING Signal processing Time series analysis Vectors N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SPIE PY - 2004 SN - 0277786X SP - SPIE-International Society for Optical Engineering ST - Proceedings of SPIE: Data mining and knowledge discovery: Theory, tools and technology VI T3 - Proceedings of SPIE - The International Society for Optical Engineering TI - Proceedings of SPIE: Data mining and knowledge discovery: Theory, tools and technology VI VL - 5433 ID - 1758 ER - TY - CONF AB - The proceedings contain 27 papers. The topics discussed include: everything in moderation: the effects of adult moderators in online youth communities; introductions and requests: rhetorical strategies that elicit response in online communities; rhythms of social interaction: messaging within a massive online network; a noun phrase analysis tool for mining online community conversations; reflections and reactions to social accounting meta-data; modes of social science engagement in community infrastructure design; workplace connectors as facilitators for work; online and offline integration in virtual communities of patients - an empirical analysis; life in the times of Whypox: a virtual epidemic as a community event; factors affecting user participation in video UCC (user-created contents) services; a socio-technical approach for topic community member selection; and tracking online collaborative work as representational practice: analysis and tool. C3 - 3rd International Conference on Communities and Technologies, C and T 2007, June 28, 2007 - June 30, 2007 DA - 2007 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer London PY - 2007 SP - Michigan-State University, Department of; Telecommunication, Information Studies, and Media; Michigan State University, College of Communication; Arts and Sciences; Michigan State University, College of Arts and Letters ST - Proceedings of the 3rd Communities and Technologies Conference, C and T 2007 T3 - Proceedings of the 3rd Communities and Technologies Conference, C and T 2007 TI - Proceedings of the 3rd Communities and Technologies Conference, C and T 2007 ID - 542 ER - TY - CONF A2 - Fred, A. A2 - Filipe, J. AB - The following topics are dealt with: data mining; statistics; pattern recognition; machine learning; data visualization; optimization; high-performance computing; advanced business intelligence; Web discovery solutions; unstructured fuzzy data; semantically fuzzy data; document information searching; metadata; and relational databases. C3 - 4th International Conference on Knowledge Discovery and Information Retrieval. KDIR 2012, 4-7 Oct. 2012 DA - 2012 KW - Competitive intelligence data mining data visualisation information retrieval meta data optimisation parallel processing Pattern recognition relational databases statistical analysis PB - INSTICC Press PY - 2012 SP - xv+477 ST - Proceedings of the 4th International Conference on Knowledge Discovery and Information Retrieval. KDIR 2012 TI - Proceedings of the 4th International Conference on Knowledge Discovery and Information Retrieval. KDIR 2012 ID - 1331 ER - TY - CONF AB - The proceedings contain 17 papers. The topics discussed include: a comparative review of cloud security proposals with ISO/IEC 27002; security pattern mining: systematic review and proposal; accessing cloud through API in a more secure and usable way; enhancing cryptographic code against side channel cryptanalysis with aspects; expert assessment on the probability of successful remote code execution attacks; towards a pattern-based security methodology to build secure information systems; an efficient security solution for dealing with shortened URL analysis; a privacy model for social networks; enhancing cooperation in wireless vehicular networks; towards a semantic web-enabled knowledge base to elicit security requirements for misuse cases; architecture of plagiarism detection service that does not violate intellectual property of the student; and the influence of institutional forces on employee compliance with information security policies. C3 - 8th International Workshop on Security in Information Systems, WOSIS 2011, in Conjunction with ICEIS 2011, June 8, 2011 - June 11, 2011 DA - 2011 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SciTePress PY - 2011 ST - Proceedings of the 8th International Workshop on Security in Information Systems, WOSIS 2011, in Conjunction with ICEIS 2011 T3 - Proceedings of the 8th International Workshop on Security in Information Systems, WOSIS 2011, in Conjunction with ICEIS 2011 TI - Proceedings of the 8th International Workshop on Security in Information Systems, WOSIS 2011, in Conjunction with ICEIS 2011 ID - 496 ER - TY - CONF A2 - Hamza, M. H. AB - The proceedings contains 87 papers from the 2003 IASTED International Conference on Intelligent Systems and Control. The topics discussed include: development of intelligent product design system using design DNA; analytical method to design multiloop control systems with desired closed loop responses; using selective memory to track concept drift effectively; double step intrusion detection system; nonlinear predictability of time series and its application for load forecast; use of active learning method to develop an intelligent stop and go cruise control; and aviation anti-terrorist instrumentation. C3 - Proceedings of the IASTED International Conference on Intelligent Systems and Control, June 25, 2003 - June 27, 2003 DA - 2003 KW - Adaptive systems Closed loop control systems Control system analysis data mining Digital control systems Digital signal processing Hierarchical systems Identification (control systems) Intelligent agents Intelligent control Learning systems Neural networks Product Design Robustness (control systems) security of data Systems analysis Three term control systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Int. Assoc. of Science and Technology for Development PY - 2003 SP - IASTED ST - Proceedings of the 2003 IASTED International Conference on Intelligent System and Control T3 - Proceedings of the IASTED International Conference on Intelligent Systems and Control TI - Proceedings of the 2003 IASTED International Conference on Intelligent System and Control ID - 608 ER - TY - CONF AB - The proceedings contain 110 papers. The topics discussed include: link analysis of incomplete relationship networks; validity of probabilistic rules; an efficient distance calculation method for uncertain objects; K2GA: heuristically guided evolution of Bayesian network structures from data; extracting borderline associations; selecting the right peer schools for AACSB accredition- a data mining application; structure prediction in temporal networks using frequent subgraphs; an analytical evaluation of objective measures behavior for generalized association rules; toward versatile and efficient meta-learning: knowledge representation and management in computational intelligence; query-sensitive feature selection for lazy learners; comparison of classifiers efficiency on missing values recovering: application in a marketing database with massive missing data; manifold learning using growing locally linear embedding; and a novel complex-valued counterpropagation network. C3 - 1st IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, April 1, 2007 - April 5, 2007 DA - 2007 KW - artificial intelligence Bayesian networks data mining feature extraction Heuristic methods knowledge representation Metadata N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2007 ST - Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007 T3 - Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007 TI - Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007 ID - 1629 ER - TY - CONF AB - The following topics are dealt with: natural language processing; content-based multimedia retrieval; audio analysis; image analysis; video analysis; speech analysis; semantic Web services; semantic-based interoperability; service integration; metadata; description languages; ontology integration; semantic system design; data mining; Web mining; context-aware sensor networks; semantic speech retrieval; semantic Web information management; semantic computing; multimedia systems; and semantic search engine. C3 - 2009 IEEE International Conference on Semantic Computing (ICSC), 14-16 Sept. 2009 DA - 2009 KW - audio signal processing content-based retrieval data mining distributed sensors Image processing meta data multimedia systems natural language processing ontologies (artificial intelligence) Search Engines Semantic Web speech processing ubiquitous computing Video signal processing Web services PB - IEEE PY - 2009 ST - Proceedings of the 2009 IEEE International Conference on Semantic Computing (ICSC) TI - Proceedings of the 2009 IEEE International Conference on Semantic Computing (ICSC) ID - 1299 ER - TY - CONF AB - The proceedings contain 11 papers. The topics discussed include: context-specific gene regulatory networks subdivide intrinsic subtypes of breast cancer; automatic classification of sentences for evidence based medicine; processing SPARQL queries with regular expressions in RDF databases; discovering biological processes and side effects relationship using the process-drug-side effect network; word sense disambiguation for event trigger word detection; combining syntactic information and domain-specific lexical patterns to extract drug-drug interactions from biomedical texts; deriving a test collection for clinical information retrieval from systematic reviews; unsupervised word sense disambiguation in biomedical texts with co-occurrence network and graph kernel; effect of classifiers in consensus feature ranking for biomedical datasets; and recent research for MEDLINE/PubMed: short review. C3 - 4th International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10, October 26, 2010 - October 30, 2010 DA - 2010 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2010 SP - ACM-SIGIR; ACM SIGWEB; ACM SIGKDD ST - Proceedings of the ACM 4th International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10 T3 - International Conference on Information and Knowledge Management, Proceedings TI - Proceedings of the ACM 4th International Workshop on Data and Text Mining in Biomedical Informatics, DTMBIO'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10 ID - 737 ER - TY - CONF AB - The proceedings contain 7 papers. The topics discussed include: from D-I-K to wisdom and meta-synthesis of wisdom; an ensemble clustering model for mining concept drifting stream data in emergency management; a preprocessing method of Internet search data for prediction improvement: application to Chinese stock market; regularized multiple-criteria linear programming via second order cone programming formulations; similarity search for time series based on efficient warping measure; theme word subspace method for text document categorization; and context-based knowledge discovery and its application. C3 - Workshop on Data Mining and Intelligent Knowledge Management, DM-IKM 2012, August 12, 2012 - August 16, 2012 DA - 2012 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2012 SP - ACM-Spec. Interest Group Knowl. Discov. Data (SIGKDD); ACM Special Interest Group on Management of Data (SIGMOD) ST - Proceedings of the Data Mining and Intelligent Knowledge Management Workshop, DM-IKM 2012 T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - Proceedings of the Data Mining and Intelligent Knowledge Management Workshop, DM-IKM 2012 ID - 1686 ER - TY - JOUR AB - AIM: This paper presents a discussion of classification and regression tree analysis and its utility in nursing research. BACKGROUND: Classification and regression tree analysis is an exploratory research method used to illustrate associations between variables not suited to traditional regression analysis. Complex interactions are demonstrated between covariates and variables of interest in inverted tree diagrams. DESIGN: Discussion paper. DATA SOURCES: English language literature was sourced from eBooks, Medline Complete and CINAHL Plus databases, Google and Google Scholar, hard copy research texts and retrieved reference lists for terms including classification and regression tree* and derivatives and recursive partitioning from 1984-2013. DISCUSSION: Classification and regression tree analysis is an important method used to identify previously unknown patterns amongst data. Whilst there are several reasons to embrace this method as a means of exploratory quantitative research, issues regarding quality of data as well as the usefulness and validity of the findings should be considered. IMPLICATIONS FOR NURSING RESEARCH: Classification and regression tree analysis is a valuable tool to guide nurses to reduce gaps in the application of evidence to practice. With the ever-expanding availability of data, it is important that nurses understand the utility and limitations of the research method. CONCLUSION: Classification and regression tree analysis is an easily interpreted method for modelling interactions between health-related variables that would otherwise remain obscured. Knowledge is presented graphically, providing insightful understanding of complex and hierarchical relationships in an accessible and useful way to nursing and other health professions. AU - Kuhn, Lisa AU - Page, Karen AU - Ward, John AU - Worrall-Carter, Linda DA - 2014/06//undefined DO - 10.1111/jan.12288 IS - 6 J2 - J Adv Nurs KW - classification tree data analysis Data Collection/*methods Data Interpretation, Statistical data mining decision tree Humans nursing research Nursing Research/*methods qualitative research recursive partitioning Regression Analysis regression tree Research Design research method L1 - internal-pdf://3602854902/Kuhn-2014-The process and utility of classific.pdf LA - eng PY - 2014 SN - 1365-2648 0309-2402 SP - 1276-1286 ST - The process and utility of classification and regression tree methodology in nursing research T2 - Journal of advanced nursing TI - The process and utility of classification and regression tree methodology in nursing research UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4265242/pdf/jan0070-1276.pdf VL - 70 ID - 202 ER - TY - CONF AB - Process mining is an emerging research area that aims to improve the analysis of Business Process Models (BPMs) by extracting knowledge from event logs. What actually happened in the organization is set forth for consideration, not what people think about the organization. Therefore, it can be used in various industrial and scientific applications. This paper aims to provide information about the process mining concept, by revealing the differences with data mining, which is more commonly known in the literature, to point out the challenges in the use of BPM, to introduce the studies on this subject, to serve as a guide and to provide meta-information for researchers, scientists, software developers, etc. who are interested in the process mining. 2013 IEEE. AU - Saylam, Rabia AU - Sahingoz, Ozgur Koray C3 - 2013 10th International Conference on Electronics, Computer and Computation, ICECCO 2013, November 7, 2013 - November 8, 2013 DA - 2013 DO - 10.1109/ICECCO.2013.6718246 KW - data mining Enterprise resource management N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2013 SP - 131-134 ST - Process mining in business process management: Concepts and challenges T3 - 2013 International Conference on Electronics, Computer and Computation, ICECCO 2013 TI - Process mining in business process management: Concepts and challenges UR - http://dx.doi.org/10.1109/ICECCO.2013.6718246 ID - 1584 ER - TY - CONF AB - In this paper, we describe a process that has been developed to transfer network intrusion data captured by Fail2ban to an adaptive enterprise intrusion detection and prevention system. The process involves software agents that we have created that are interconnected to a central behavior analysis database service where each software agent records attack meta-information collected during previous intrusion attempts. These distributed agents are the first phase of an overall plan to create a smarter network defense system through the collection and analysis of network signatures generated by real security threats. The central database to which the agents report warehouses and analyzes the meta-information collected by the interconnected agents. The agents can then utilize both instantaneous and historical data by integrating rules derived from the data collection and analysis process into intrusion prevention policies. The final result will be a modular and scalable network defense system that should be more responsive and adaptable to imminent threats. 2016 IEEE. AU - Ford, Mike AU - Mallery, Cody AU - Palmasani, Frank AU - Rabb, Michael AU - Turner, Reid AU - Soles, Lem AU - Snider, Dallas C3 - SoutheastCon 2016, March 30, 2016 - April 3, 2016 DA - 2016 DO - 10.1109/SECON.2016.7506771 KW - artificial intelligence data mining Decision support systems Intelligent networks Intrusion detection Mercury (metal) Network security Software agents N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2016 SN - 07347502 ST - A process to transfer Fail2ban data to an adaptive enterprise intrusion detection and prevention system T3 - Conference Proceedings - IEEE SOUTHEASTCON TI - A process to transfer Fail2ban data to an adaptive enterprise intrusion detection and prevention system UR - http://dx.doi.org/10.1109/SECON.2016.7506771 VL - 2016-July ID - 897 ER - TY - CONF AB - In this paper, we describe a process that has been developed to transfer network intrusion data captured by Fail2ban to an adaptive enterprise intrusion detection and prevention system. The process involves software agents that we have created that are interconnected to a central behavior analysis database service where each software agent records attack meta-information collected during previous intrusion attempts. These distributed agents are the first phase of an overall plan to create a smarter network defense system through the collection and analysis of network signatures generated by real security threats. The central database to which the agents report warehouses and analyzes the meta-information collected by the interconnected agents. The agents can then utilize both instantaneous and historical data by integrating rules derived from the data collection and analysis process into intrusion prevention policies. The final result will be a modular and scalable network defense system that should be more responsive and adaptable to imminent threats. AU - Ford, M. AU - Mallery, C. AU - Palmasani, F. AU - Rabb, M. AU - Turner, R. AU - Soles, L. AU - Snider, D. C3 - SoutheastCon 2016, 30 March-3 April 2016 DA - 2016 DO - 10.1109/SECON.2016.7506771 KW - computer network security data integration data mining Data warehouses Decision support systems digital signatures IP networks Software agents PB - IEEE PY - 2016 SP - 4-pp. ST - A process to transfer Fail2ban data to an adaptive enterprise intrusion detection and prevention system T3 - SoutheastCon 2016 TI - A process to transfer Fail2ban data to an adaptive enterprise intrusion detection and prevention system UR - http://dx.doi.org/10.1109/SECON.2016.7506771 ID - 1037 ER - TY - CHAP A2 - Akoka, J. A2 - Bouzeghoub, M. A2 - ComynWattiau, I. A2 - Metais, E. AB - The process industries (chemicals, food, oil,...) are characterized by - continuous or batch -- processes of material transformation. The design of such processes, and their mapping to the available equipment (plants composed of production units in which reactions take place), is a complex process that determines the competitiveness of these industries, as well as their environmental impact. In cooperation with researchers and industry from chemical engineering, we have developed the idea to capture and evaluate the experiences gained about process designs in so-called process data warehouses. The data sources for such process data warehouses are highly heterogeneous tools, e.g. for conceptual design (termed flowsheeting in chemical engineering), for mathematical simulations of large non-linear differential equation systems, for measurements gained with experimental usage of equipment at small scale or in original size, or even from molecular modeling. The clients of a data warehouse are interested in operational data transfer as well as experience analysis (pattern detection, process mining) and reuse. Starting from an empirical analysis of the requirements for a process data warehouse, the paper describes the solution architecture we are pursuing, the models driving the approach, and the status of a prototypical implementation we are undertaking. The prototype links commercial components operationally through advanced wrapping techniques, where the workflow is determined by constraint analysis in a logic-based meta model and executed through a process-integrated modeling environment. In the conclusions, we point out what can be learned from this work for conceptual modeling in general. AU - Jarke, M. AU - List, T. AU - Weidenhaupt, K. PY - 1999 SN - 3-540-66686-9 SP - 520-537 ST - A process-integrated conceptual design environment for chemical engineering T2 - Conceptual Modeling - Er'99 TI - A process-integrated conceptual design environment for chemical engineering VL - 1728 ID - 2275 ER - TY - CONF AB - The proceedings contain 133 papers. The topics discussed include: genetic algorithm based on wavelet neural network for the displacement prediction of landslide; a concept acquisition method based on visual perception; meta-cognitive interval type-2 neuro-fuzzy inference system for wind prediction; architecture and navigation strategy of BCI based semi-autonomous mobile robot; fusion algorithm of infrared and visible images based on NSCT and PCNN; human meta-cognition inspired collaborative search algorithm for optimization; optimization-based multikernel extreme learning for multimodal object image classification; a kernel principal component analysis algorithm based on sample selection according to pseudo-eigenvalue contribution; multi-robot environment exploration based on label maps building via recognition of frontiers; vessel track information mining using AIS data; and representation methods for recognizing and grasping object of robots. C3 - 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014, September 28, 2014 - September 30, 2014 DA - 2014 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2014 ST - Processing of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014 T3 - Processing of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014 TI - Processing of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014 ID - 537 ER - TY - CONF AB - Organizational memory in today's business world forms basis for organizational learning, which is the ability of an organization to gain insight and understanding from experience through experimentation, observation, analysis, and a willingness to examine both successes and failures. This basically requires consideration of different aspects of knowledge that may reside on top of a conventional information management system. Of them, representation, retrieval and production issues of meta patterns constitute to the main theme of this article. Particularly we are interested in a formal approach to handle rough concepts. We utilize rough classifiers to propose a preliminary framework based on minimal term sets with p-norms to extract meta patterns. We describe a relational rule induction approach, which is called rila. Experimental results are provided on the mutagenesis, and the KDD Cup 2001 genes data sets. AU - Tolun, M. R. AU - Sever, H. AU - Gorur, A. K. C3 - 2007 IEEE International Conference on Granular Computing, 2-4 Nov. 2007 DA - 2008 DO - 10.1109/GrC.2007.56 KW - data mining information retrieval learning by example relational databases rough set theory SQL PB - IEEE PY - 2008 SP - 192-8 ST - Production and retrieval of rough classes in multi relations T3 - 2007 IEEE International Conference on Granular Computing TI - Production and retrieval of rough classes in multi relations UR - http://dx.doi.org/10.1109/GrC.2007.56 ID - 1225 ER - TY - JOUR AB - Debates on government privatisation policies have often focused on the alleged effects of privatisation on health and safety. A systematic review (through Quality of Reporting of Meta-analysis) of the effects of privatising industries and utilities on the health (including injuries) of employees and the public was conducted. The data sources were electronic databases (medical, social science and economic), bibliographies and expert contacts. Experimental and quasi-experimental studies were sought, dating from 1945, from any Organisation for Economic Cooperation and Development member country (in any language) that evaluated the health outcomes of such interventions. Eleven highly heterogeneous studies that evaluated the health impacts of privatisation of building, water, paper, cement, bus, rail, mining, electric and gas companies were identified. The most robust study found increases in the measures of stress-related ill health among employees after a privatisation intervention involving company downsizing. No robust evidence was found to link privatisation with increased injury rates for employees or customers. In conclusion, public debates on the health and safety implications of privatisation have a poor empirical base, which policy makers and researchers need to address. Some evidence suggests that adverse health outcomes could result from redundancies associated with privatisation. AU - Egan, Matt AU - Petticrew, Mark AU - Ogilvie, David AU - Hamilton, Val AU - Drever, Frances DA - 2007/10// DO - 10.1136/jech.2006.053231 DP - PubMed IS - 10 J2 - J Epidemiol Community Health KW - Developed Countries Evidence-Based Medicine Great Britain Humans Occupational Diseases Occupational Health Privatization Unemployment Wounds and Injuries L1 - internal-pdf://2775476041/Egan-2007-_Profits before people__ A systemati.pdf LA - eng PY - 2007 SN - 0143-005X SP - 862-870 ST - "Profits before people"? T2 - Journal of Epidemiology and Community Health TI - "Profits before people"? A systematic review of the health and safety impacts of privatising public utilities and industries in developed countries UR - http://www.ncbi.nlm.nih.gov/pubmed/17873221 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2652962/pdf/862.pdf VL - 61 ID - 441 ER - TY - RPRT AB - The geologic landscape at Serra dos Carajas Sheet encloses portions of Southern Para granite-greenstone terrain, Itacaiunas and Araguaia Belts as well as Proterozoic litho-structural components. It shows medium magnetic relief and low radiometric levels due to meta mafic-ultramafic sequences and the high Na granitoids intrusions. The Proterozoic components are represented by a series of anorogenic granitic intrusions shown by distinctive aero gamaspectrometric anomalies. The well known metallogenetic characteristics includes gold, iron, manganese, nickel and aluminium mines and/or deposits and several mineral occurrences mainly chromium, tin, copper, and zinc. (author). (Atomindex citation 23:078543) AU - Araujo, O. J. B. AU - Maia, R. G. N. CY - Brazil DA - 1991 KW - Brazil Chemical analysis Diagrams Experimental Data Geochemical surveys Geologic Structures Geologic Surveys Geophysical Surveys Isotope Dating Maps Metamorphism Mineralogy Research Programs Rocks Tables(Data) N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 1991 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 162p ST - Programa Levantamentos Geologicos Basicos do Brasil: projeto especial mapas de recursos minerais, de solos e de vegetacao para a area do Programa Grande Carajas - Subprojeto Recursos Minerais - Serra dos Carajas - Folha SB.22-Z-A - Estado do Para. (Brazil Geological Basic Survey Program: special project of mineral resources, soils and vegetation maps for the region of Grande Carajas Program - Mineral resources sub project - Serra dos Carajas - Sheet SB.22-Z-A - Para State) TI - Programa Levantamentos Geologicos Basicos do Brasil: projeto especial mapas de recursos minerais, de solos e de vegetacao para a area do Programa Grande Carajas - Subprojeto Recursos Minerais - Serra dos Carajas - Folha SB.22-Z-A - Estado do Para. (Brazil Geological Basic Survey Program: special project of mineral resources, soils and vegetation maps for the region of Grande Carajas Program - Mineral resources sub project - Serra dos Carajas - Sheet SB.22-Z-A - Para State) ID - 596 ER - TY - JOUR AB - OBJECTIVES: We sought to explore, via a systematic review of the literature, the state of the art of knowledge discovery in biomedical databases as it existed in 1992, and then now, 25 years later, mainly focused on supervised learning. METHODS: We performed a rigorous systematic search of PubMed and latent Dirichlet allocation to identify themes in the literature and trends in the science of knowledge discovery in and between time periods and compare these trends. We restricted the result set using a bracket of five years previous, such that the 1992 result set was restricted to articles published between 1987 and 1992, and the 2015 set between 2011 and 2015. This was to reflect the current literature available at the time to researchers and others at the target dates of 1992 and 2015. The search term was framed as: Knowledge Discovery OR Data Mining OR Pattern Discovery OR Pattern Recognition, Automated. RESULTS: A total 538 and 18,172 documents were retrieved for 1992 and 2015, respectively. The number and type of data sources increased dramatically over the observation period, primarily due to the advent of electronic clinical systems. The period 1992- 2015 saw the emergence of new areas of research in knowledge discovery, and the refinement and application of machine learning approaches that were nascent or unknown in 1992. CONCLUSIONS: Over the 25 years of the observation period, we identified numerous developments that impacted the science of knowledge discovery, including the availability of new forms of data, new machine learning algorithms, and new application domains. Through a bibliometric analysis we examine the striking changes in the availability of highly heterogeneous data resources, the evolution of new algorithmic approaches to knowledge discovery, and we consider from legal, social, and political perspectives possible explanations of the growth of the field. Finally, we reflect on the achievements of the past 25 years to consider what the next 25 years will bring with regard to the availability of even more complex data and to the methods that could be, and are being now developed for the discovery of new knowledge in biomedical data. AU - Sacchi, L. AU - Holmes, J. H. DA - 2016 DO - 10.15265/IYS-2016-s033 J2 - Yearb Med Inform KW - Algorithms artificial intelligence databases data mining factual knowledge discovery in databases LA - eng PY - 2016 SN - 2364-0502 0943-4747 SP - S117-129 ST - Progress in Biomedical Knowledge Discovery: A 25-year Retrospective T2 - Yearbook of medical informatics TI - Progress in Biomedical Knowledge Discovery: A 25-year Retrospective VL - Suppl 1 ID - 287 ER - TY - JOUR AB - A systematic review of development of chemical leaching technology for zinc sulphide ores is made in this paper. The main contents include: mineral characteristics, development of leaching agents and systems, present status of kinetics and thermodynamics of zine sulphide ores leaching, and technology for separation and purification of zinc(II). AU - He, H. W. AU - Hu, Y. H. AU - Huang, K. L. DA - 2001 IS - 3 J2 - Kuangye Gongcheng/Mining and Metallurgical Engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2001 SN - 02536099 SP - 1-5 ST - Progress in chemical leaching technology for zinc sulphide ores T2 - Kuangye Gongcheng/Mining and Metallurgical Engineering TI - Progress in chemical leaching technology for zinc sulphide ores VL - 21 ID - 482 ER - TY - JOUR AB - Scheduling production in open-pit mines is characterized by uncertainty about the metal content of the orebody (the reserve) and leads to a complex large-scale mixed-integer stochastic optimization problem. In this paper, a two-phase solution approach based on Rockafellar and Wets' progressive hedging algorithm (PH) is proposed. PH is used in phase I where the problem is first decomposed by partitioning the set of scenarios modeling metal uncertainty into groups, and then the sub-problems associated with each group are solved iteratively to drive their solutions to a common solution. In phase II, a strategy exploiting information obtained during the PH iterations and the structure of the problem under study is used to reduce the size of the original problem, and the resulting smaller problem is solved using a sliding time window heuristic based on a fix-and-optimize scheme. Numerical results show that this approach is efficient in finding near-optimal solutions and that it outperforms existing heuristics for the problem under study. 2016 The Authors. AU - Lamghari, Amina AU - Dimitrakopoulos, Roussos DA - 2016 DO - 10.1016/j.ejor.2016.03.007 IS - 3 J2 - European Journal of Operational Research KW - Heuristic methods Integer programming Iterative methods Open pit mining Optimization Ore deposits Production control Scheduling Uncertainty analysis L1 - internal-pdf://1238138000/Lamghari-2016-Progressive hedging applied as a.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 03772217 SP - 843-855 ST - Progressive hedging applied as a metaheuristic to schedule production in open-pit mines accounting for reserve uncertainty T2 - European Journal of Operational Research TI - Progressive hedging applied as a metaheuristic to schedule production in open-pit mines accounting for reserve uncertainty UR - http://dx.doi.org/10.1016/j.ejor.2016.03.007 http://ac.els-cdn.com/S0377221716301357/1-s2.0-S0377221716301357-main.pdf?_tid=de6ce236-833f-11e6-a420-00000aab0f6b&acdnat=1474822282_7f3deaefeaaef2c9463bae1cd91a6116 VL - 253 ID - 996 ER - TY - JOUR AB - Clinically, our ability to predict disease outcome for patients with early stage lung cancer is currently poor. To address this issue, tumour specimens were collected at surgery from non-small cell lung cancer (NSCLC) patients as part of the European Early Lung Cancer (EUELC) consortium. The patients were followed-up for three years post-surgery and patients who suffered progressive disease (PD, tumour recurrence, metastasis or a second primary) or remained disease-free (DF) during follow-up were identified. RNA from both tumour and adjacent-normal lung tissue was extracted from patients and subjected to microarray expression profiling. These samples included 36 adenocarcinomas and 23 squamous cell carcinomas from both PD and DF patients. The microarray data was subject to a series of systematic bioinformatics analyses at gene, network and transcription factor levels. The focus of these analyses was 2-fold: firstly to determine whether there were specific biomarkers capable of differentiating between PD and DF patients, and secondly, to identify molecular networks which may contribute to the progressive tumour phenotype. The experimental design and analyses performed permitted the clear differentiation between PD and DF patients using a set of biomarkers implicated in neuroendocrine signalling and allowed the inference of a set of transcription factors whose activity may differ according to disease outcome. Potential links between the biomarkers, the transcription factors and the genes p21/CDKN1A and Myc, which have previously been implicated in NSCLC development, were revealed by a combination of pathway analysis and microarray meta-analysis. These findings suggest that neuroendocrine-related genes, potentially driven through p21/CDKN1A and Myc, are closely linked to whether or not a NSCLC patient will have poor clinical outcome. AU - Han, Namshik AU - Dol, Zulkifli AU - Vasieva, Olga AU - Hyde, Russell AU - Liloglou, Triantafillos AU - Raji, Olaide AU - Brambilla, Elisabeth AU - Brambilla, Christian AU - Martinet, Yves AU - Sozzi, Gabriella AU - Risch, Angela AU - Montuenga, Luis M. AU - Brass, Andy AU - Field, John K. DA - 2012/07//undefined DO - 10.3892/ijo.2012.1421 IS - 1 J2 - Int J Oncol KW - *Gene Expression Regulation, Neoplastic *Transcription, Genetic Adenocarcinoma/genetics/*metabolism/pathology Algorithms artificial intelligence Biomarkers, Tumor/*genetics/metabolism Carcinoma, Squamous Cell/genetics/*metabolism/pathology data mining Disease Progression Female Gene Expression Profiling Gene Regulatory Networks Humans Lung Neoplasms/genetics/*metabolism/pathology Male Metabolic Networks and Pathways Oligonucleotide Array Sequence Analysis Phenotype Principal Component Analysis Systems Biology L1 - internal-pdf://3982826381/Han-2012-Progressive lung cancer determined by.pdf LA - eng PY - 2012 SN - 1791-2423 1019-6439 SP - 242-252 ST - Progressive lung cancer determined by expression profiling and transcriptional regulation T2 - International journal of oncology TI - Progressive lung cancer determined by expression profiling and transcriptional regulation UR - https://www.spandidos-publications.com/ijo/41/1/242/download VL - 41 ID - 231 ER - TY - JOUR AB - INTRODUCTION: Academic detailing, typically conducted by impartial advisors, can optimize prescribing behavior The objective of this prospective controlled trial was to deter-mine if evidence-based detailing conducted by a pharmaceutical manufacturer can also improve physician prescribing habits. MATERIALS AND METHODS: Physicians in eight Ontario regions were randomized to receive manufacturer detailing at least twice over six months using either an evidence-based educational pamphlet reviewing antibiotic therapy for acute otitis media or regular detailing. Relative percent changes of market share pre- and post-intervention were measured using a retail pharmacy administrative prescription database assembled by IRIS Canada. Multivariable linens regression analysis was dong using pre- and postintervention market share differences for each product as the dependent variable and accounting for baseline market share, sex of prescribing physician, prescribing physician location, and years since graduation as covariates. RESULTS: Change in market share for amoxicillin, pivampicillin, erthyromycin-sulfisoxazole, or any third-line agents (cefixime, amoxicillin clavulanate, or cefaclor) was not significantly different between intervention and control regions. Trimethoprim-sulfa-methoxazole market share decreased significantly between intervention:and control regions. Most variation in prescribing was accounted for by the differences in baseline antibiotic market shares, sex of the prescribing physician, and the years since physician graduation. AU - Dolovich, L. AU - Levine, M. AU - Tarajos, R. AU - Duku, E. DA - 1999/12//OCT IS - 4 PY - 1999 SN - 0092-8615 SP - 1067-1077 ST - Promoting optimal antibiotic therapy for otitis media using commercially sponsored evidence-based detailing: A prospective controlled trial T2 - Drug Information Journal TI - Promoting optimal antibiotic therapy for otitis media using commercially sponsored evidence-based detailing: A prospective controlled trial VL - 33 ID - 2272 ER - TY - JOUR AB - Thermally metamorphosed Tertiary age coals from Tanjung Enim in South Sumatra Basin have been investigated by means of petrographic, mineralogical and chemical analyses. These coals were influenced by heat from an andesitic igneous intrusion. The original coal outside the metamorphosed zone is characterized by high moisture content (4.13-11.25 wt.%) and volatile matter content (40 wt.%, daf), as well as less than 80 wt.% (daf) carbon and low vitrinite reflectance (VRmax = 0.52-0.76%). Those coals are of subbituminous and high volatile bituminous rank. In contrast the thermally metamorphosed coals are of medium-volatile bituminous to meta-anthracite rank and characterized by low moisture content (only 3 wt.%) and volatile matter content (24 wt.%, daf), as well as high carbon content (80 wt.%, daf) and vitrinite reflectance (VRmax = 1.87-6.20%). All the studied coals have a low mineral matter content, except for those which are highly metamorphosed, due to the formation of new minerals. The coalification path of each maceral shows that vitrinite, liptinite and inertinite reflectance converge in a transition zone at VRmax of around 1.5%. Significant decrease of volatile matter occurs in the zone between 0.5% and 2.0% VRmax. A sharp bend occurs at VRmax between 2.0% and 2.5%. Above 2.5%, the volatile matter decreases only very slightly. Between VRr = 0.5% and 2.0%, the carbon content of the coals is ascending drastically. Above 2.5% VRr, the carbon content becomes relatively stable (around 95 wt.%, daf). Vitrinite is the most abundant maceral in low rank coal (69.6-86.2 vol.%). Liptinite and inertinite are minor constituents. In the high rank coal, the thermally altered vitrinite composes 82.4-93.8 vol.%. Mosaic structures can be recognized as groundmasss and crack fillings. The most common minerals found are carbonates, pyrite or marcasite and clay minerals. The latter consist of kaolinite in low rank coal and illite and rectorite in high rank coal. Change of functional groups with rank increase is reflected most of all by the increase of the ratio of aromatic C-H to aliphatic C-H absorbances based on FTIR analysis. The Oxygen Index values of all studied coals are low (OI 5 mg CO2/g TOC) and the high rank coals have a lower Hydrogen Index (130 mg HC/g TOC) than the low rank coals (about 300 mg HC/g TOC). Tmax increases with maturity (420-440 C for low rank coals and 475-551 C for high rank coals). Based on the above data, it was calculated that the temperature of contact metamorphism reached 700-750 C in the most metamorphosed coal. 2005 Elsevier B.V. All rights reserved. AU - Amijaya, Hendra AU - Littke, Ralf DA - 2006 DO - 10.1016/j.coal.2005.07.008 IS - 4 J2 - International Journal of Coal Geology KW - Carbon Chemical analysis Clay minerals Coal mines Fourier transform infrared spectroscopy Mineralogy Moisture Sedimentology L1 - internal-pdf://0943947739/Amijaya-2006-Properties of thermally metamorph.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2006 SN - 01665162 SP - 271-295 ST - Properties of thermally metamorphosed coal from Tanjung Enim Area, South Sumatra Basin, Indonesia with special reference to the coalification path of macerals T2 - International Journal of Coal Geology TI - Properties of thermally metamorphosed coal from Tanjung Enim Area, South Sumatra Basin, Indonesia with special reference to the coalification path of macerals UR - http://dx.doi.org/10.1016/j.coal.2005.07.008 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0166516205001552/1-s2.0-S0166516205001552-main.pdf?_tid=83e892dc-832c-11e6-9a59-00000aab0f27&acdnat=1474813969_e43cc2d206156702c5937bfd927a2cd9 VL - 66 ID - 687 ER - TY - JOUR AB - OBJECTIVE: To evaluate the efficacy and safety of propofol compared to other agents for procedural sedation of adults in the emergency department (ED) and to review the use of opioids in conjunction with propofol for procedural sedation in the ED. DATA SOURCES: PubMed (1949-December 2012) and EMBASE (1980-December 2012) were searched using combinations of the following search terms: (procedural sedation or conscious sedation [MESH]) and propofol. A manual search of references was also performed. STUDY SELECTION AND DATA EXTRACTION: English-language, full reports of randomized controlled trials (RCTs) and observational studies evaluating propofol use in adults undergoing procedural sedation in the ED were included if they reported efficacy or safety outcomes. Two reviewers independently assessed each article for inclusion, data extraction, and study limitations. DATA SYNTHESIS: Thirteen RCTs and 20 observational studies meeting our inclusion criteria were retrieved. Regardless of the agent used for sedation, procedural success was greater than 80% and most trials demonstrated no statistically significant difference in the incidence of respiratory depression with propofol compared to alternatives. One RCT showed a significantly greater percent decrease in systolic blood pressure from baseline in those who received propofol compared to keta mine. Where reported, no significant difference was found in patient recall, pain, and satisfaction when opioids were added to propofol compared to propofol alone; the addition of opioids may have resulted in a higher incidence of respiratory adverse events. CONCLUSIONS: Propofol for procedural sedation is a reasonable alternative for use in the ED, with comparative efficacy and safety to other alternatives. Use of opioids in addition to propofol may not provide added benefit but does contribute to increased rates of adverse events. AU - Black, Emily AU - Campbell, Samuel G. AU - Magee, Kirk AU - Zed, Peter J. DA - 2013/06// DO - 10.1345/aph.1R743 IS - 6 PY - 2013 SN - 1060-0280 SP - 856-868 ST - Propofol for Procedural Sedation in the Emergency Department: A Qualitative Systematic Review T2 - Annals of Pharmacotherapy TI - Propofol for Procedural Sedation in the Emergency Department: A Qualitative Systematic Review UR - http://aop.sagepub.com/content/47/6/856.long VL - 47 ID - 2233 ER - TY - CONF AB - The meta-learning problem has become an important issue in recent years. This has been caused by the growing role of data mining applications in the global information systems of big companies which want to obtain benefits from the analysis of its data. It is necessary to obtain faithfull application rules that guide the data mining process in order to achieve the best possible models that explain the databases. We follow an inductive approach to discover these kind of rules. This paper explains the MAS-based information system we use for mining and meta-learning, and how the scalability problem is solved in order to support a community of many software agents. AU - Botia, J. A. AU - Gomez-Skarmeta, A. F. AU - Velasco, J. R. AU - Garijo, M. C3 - Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems. International Workshop on Infrastructure for Scalable Multi-Agent Systems. Revised Papers, 3-7 June 2000 DA - 2001 KW - data analysis data mining learning (artificial intelligence) multi-agent systems software engineering PB - Springer-Verlag PY - 2001 SP - 226-33 ST - A proposal for meta-learning through a MAS (Multi-agent system) T3 - Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems. International Workshop on Infrastructure for Scalable Multi-Agent Systems. Revised Papers (Lecture Notes in Computer Science Vol.1887) TI - A proposal for meta-learning through a MAS (Multi-agent system) ID - 1737 ER - TY - JOUR AB - BACKGROUND: In the development of search strategies for systematic reviews, "conceptual approaches" are generally recommended to identify appropriate search terms for those parts of the strategies for which no validated search filters exist. However, "objective approaches" based on search terms identified by text analysis are increasingly being applied. OBJECTIVES: To prospectively compare an objective with a conceptual approach for the development of search strategies. METHODS: Two different MEDLINE search strategies were developed in parallel for five systematic reviews covering a range of topics and study designs. The Institute for Quality and Efficiency in Health Care (IQWiG) applied an objective approach, and external experts applied a conceptual approach for the same research questions. For each systematic review, the citations retrieved were combined and the overall pool of citations screened to determine sensitivity and precision. RESULTS: The objective approach yielded a weighted mean sensitivity and precision of 97% and 5%. The corresponding values for the conceptual approach were 75% and 4%. CONCLUSION: Our findings indicate that the objective approach applied by IQWiG for search strategy development yields higher sensitivity than and similar precision to a conceptual approach. The main advantage of the objective approach is that it produces consistent results across searches. AU - Hausner, Elke AU - Guddat, Charlotte AU - Hermanns, Tatjana AU - Lampert, Ulrike AU - Waffenschmidt, Siw DA - 2016/05/30/ DO - 10.1016/j.jclinepi.2016.05.002 J2 - J Clin Epidemiol KW - data mining Information storage and retrieval Medline Prospective studies Reproducibility of results Sensitivity and specificity L1 - internal-pdf://3799058530/Hausner-2016-Prospective comparison of search.pdf LA - Eng PY - 2016 SN - 1878-5921 0895-4356 ST - Prospective comparison of search strategies for systematic reviews: an objective approach yielded higher sensitivity than a conceptual one T2 - Journal of clinical epidemiology TI - Prospective comparison of search strategies for systematic reviews: an objective approach yielded higher sensitivity than a conceptual one UR - http://www.jclinepi.com/article/S0895-4356(16)30134-2/pdf ID - 75 ER - TY - JOUR AB - Through Genome Wide Association Studies (GWAS) many Single Nucleotide Polymorphism (SNP)-complex disease relations can be investigated. The output of GWAS can be high in amount and high dimensional, also relations between SNPs, phenotypes and diseases are most likely to be nonlinear. In order to handle high volume-high dimensional data and to be able to find the nonlinear relations we have utilized data mining approaches and a hybrid feature selection model of support vector machine and decision tree has been designed. The designed model is tested on prostate cancer data and for the first time combined genotype and phenotype information is used to increase the diagnostic performance. We were able to select phenotypic features such as ethnicity and body mass index, and SNPs those map to specific genes such as CRR9, TERT. The performance results of the proposed hybrid model, on prostate cancer dataset, with 90.92% of sensitivity and 0.91 of area under ROC curve, shows the potential of the approach for prediction and early detection of the prostate cancer. AU - Yucebas, Sait Can AU - Son, Yesim Aydin DA - 2014/03/20/ DO - 10.1371/journal.pone.0091404 IS - 3 PY - 2014 SN - 1932-6203 SP - e91404 ST - A Prostate Cancer Model Build by a Novel SVM-ID3 Hybrid Feature Selection Method Using Both Genotyping and Phenotype Data from dbGaP T2 - Plos One TI - A Prostate Cancer Model Build by a Novel SVM-ID3 Hybrid Feature Selection Method Using Both Genotyping and Phenotype Data from dbGaP VL - 9 ID - 2157 ER - TY - JOUR AB - Objective: A recent study and comprehensive literature review has indicated that mining could be protective against prostate cancer. This indication has been explored further here by analysing prostate cancer mortality in the German 'Wismut' uranium miner cohort, which has detailed information on the number of days worked underground. Design: An historical cohort study of 58 987 male mine workers with retrospective follow-up before 1999 and prospective follow-up since 1999. Setting and participants: Uranium mine workers employed during the period 1970-1990 in the regions of Saxony and Thuringia, Germany, contributing 1.42 million person-years of follow-up ending in 2003. Outcome measure: Simple standardised mortality ratio (SMR) analyses were applied to assess differences between the national and cohort prostate cancer mortality rates and complemented by refined analyses done entirely within the cohort. The internal comparisons applied Poisson regression excess relative prostate cancer mortality risk model with background stratification by age and calendar year and a whole range of possible explanatory covariables that included days worked underground and years worked at high physical activity with g radiation treated as a confounder. Results: The analysis is based on miner data for 263 prostate cancer deaths. The overall SMR was 0.85 (95% CI 0.75 to 0.95). A linear excess relative risk model with the number of years worked at high physical activity and the number of days worked underground as explanatory covariables provided a statistically significant fit when compared with the background model (p=0.039). Results (with 95% CIs) for the excess relative risk per day worked underground indicated a statistically significant (p=0.0096) small protective effect of -5.59 (-9.81 to -1.36) x 10(-5). Conclusion: Evidence is provided from the German Wismut cohort in support of a protective effect from working underground on prostate cancer mortality risk. AU - Walsh, Linda AU - Dufey, Florian AU - Tschense, Annemarie AU - Schnelzer, Maria AU - Sogl, Marion AU - Kreuzer, Michaela DA - 2012 DO - 10.1136/bmjopen-2012-001002 IS - 3 PY - 2012 SN - 2044-6055 SP - e001002 ST - Prostate cancer mortality risk in relation to working underground in the Wismut cohort study of German uranium miners, 1970-2003 T2 - Bmj Open TI - Prostate cancer mortality risk in relation to working underground in the Wismut cohort study of German uranium miners, 1970-2003 VL - 2 ID - 2238 ER - TY - JOUR AB - BACKGROUND: Determining usefulness of biomedical text mining systems requires realistic task definition and data selection criteria without artificial constraints, measuring performance aspects that go beyond traditional metrics. The BioCreative III Protein-Protein Interaction (PPI) tasks were motivated by such considerations, trying to address aspects including how the end user would oversee the generated output, for instance by providing ranked results, textual evidence for human interpretation or measuring time savings by using automated systems. Detecting articles describing complex biological events like PPIs was addressed in the Article Classification Task (ACT), where participants were asked to implement tools for detecting PPI-describing abstracts. Therefore the AU - Krallinger, Martin AU - Vazquez, Miguel AU - Leitner, Florian AU - Salgado, David AU - Chatr-Aryamontri, Andrew AU - Winter, Andrew AU - Perfetto, Livia AU - Briganti, Leonardo AU - Licata, Luana AU - Iannuccelli, Marta AU - Castagnoli, Luisa AU - Cesareni, Gianni AU - Tyers, Mike AU - Schneider, Gerold AU - Rinaldi, Fabio AU - Leaman, Robert AU - Gonzalez, Graciela AU - Matos, Sergio AU - Kim, Sun AU - Wilbur, W. John AU - Rocha, Luis AU - Shatkay, Hagit AU - Tendulkar, Ashish V. AU - Agarwal, Shashank AU - Liu, Feifan AU - Wang, Xinglong AU - Rak, Rafal AU - Noto, Keith AU - Elkan, Charles AU - Lu, Zhiyong AU - Dogan, Rezarta Islamaj AU - Fontaine, Jean-Fred AU - Andrade-Navarro, Miguel A. AU - Valencia, Alfonso DA - 2011 DO - 10.1186/1471-2105-12-S8-S3 J2 - BMC Bioinformatics KW - *Algorithms *Data Mining Animals Databases, Protein Humans Periodicals as Topic Proteins/*metabolism PubMed L1 - internal-pdf://0992277052/Krallinger-2011-The Protein-Protein Interactio.pdf LA - eng PY - 2011 SN - 1471-2105 1471-2105 SP - S3 ST - The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text T2 - BMC bioinformatics TI - The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3269938/pdf/1471-2105-12-S8-S3.pdf VL - 12 Suppl 8 ID - 376 ER - TY - JOUR AB - Upon stimulation, platelets release the soluble content of their cytoplasmic granules along with microparticles. This sub-proteome is of interest since many of its constituents are associated with coagulation, (tumor) angiogenesis, cell growth and adhesion. Previously, differential - antibody-based - serum analysis has yielded information on the proteins released from platelets upon stimulation. A promising alternative strategy is formed by identifying the proteins released by freshly isolated platelets from blood using proteomics. Here we report on the analysis of the thrombin receptor activating peptide (TRAP)-induced releasate from 3 different volunteers using high resolution, high mass accuracy hybrid AU - Piersma, Sander R. AU - Broxterman, Henk J. AU - Kapci, Muhammed AU - de Haas, Richard R. AU - Hoekman, Klaas AU - Verheul, Henk M. W. AU - Jimenez, Connie R. DA - 2009/02/15/ DO - 10.1016/j.jprot.2008.10.009 IS - 1 J2 - J Proteomics KW - Blood Platelets/*metabolism Exocytosis Humans Proteome/*metabolism Receptors, Thrombin/*metabolism Secretory Vesicles/*metabolism Tandem Mass Spectrometry LA - eng PY - 2009 SN - 1874-3919 1874-3919 SP - 91-109 ST - Proteomics of the TRAP-induced platelet releasate T2 - Journal of proteomics TI - Proteomics of the TRAP-induced platelet releasate VL - 72 ID - 265 ER - TY - JOUR AB - Heavy mineral studies of the nearshore placer deposits of the Konkan Coast reveal a dominant assemblage comprised of garnet and kyanite along with other accessory minerals like epidote, olivine and rutile. The heavy mineral assemblage of the study region shows a characteristic suite of 17 types of heavy minerals. Their abundance shows hardly any drastic variation in the four bays studied. Overwhelming presence of minerals like garnet and kyanite in the studied four bays points to the source as metamorphic rocks. The presence of etched garnets, overgrown zircons and etched kyanites corroborate the recycling of paleo-sediments into the bay. Characterization of opaques under the microscope also corroborates the influence of a metamorphic source, rather than the adjoining basaltic rocks. However, the absence of meta-morphic rocks in the hinterland suggests the possibility of deposition of sediments predominantly from offshore. Factor analysis results also corroborate the over-whelming influence of metamorphic rocks in the present study region rather than the abutting basalts. Taylor Francis Group, LLC. AU - Gujar, A. R. AU - Angusamy, N. AU - Rajamanickam, G. V. DA - 2009 DO - 10.1080/10641190902777302 IS - 2 J2 - Marine Georesources and Geotechnology KW - Basalt Deposits Garnets Kyanite Kyanite deposits Landforms Metamorphic rocks Mineral exploration minerals Mines Olivine Oxide minerals Placers Rocks Sedimentology Silicate minerals Titanium oxides Zircon N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 1064119X SP - 115-131 ST - Provenance signature of pre-cambrian and mesozoic rocks in the nearshore placers of Konkan, Central West Coast of India T2 - Marine Georesources and Geotechnology TI - Provenance signature of pre-cambrian and mesozoic rocks in the nearshore placers of Konkan, Central West Coast of India UR - http://dx.doi.org/10.1080/10641190902777302 VL - 27 ID - 553 ER - TY - JOUR AB - Cluster analysis is an important task in data mining and refers to group a set of objects such that the similarities among objects within the same group are maximal while similarities among objects from different groups are minimal. The particle swarm optimization algorithm (PSO) is one of the famous metaheuristic optimization algorithms, which has been successfully applied to solve the clustering problem. However, it has two major shortcomings. The PSO algorithm converges rapidly during the initial stages of the search process, but near global optimum, the convergence speed will become very slow. Moreover, it may get trapped in local optimum if the global best and local best values are equal to the particle's position over a certain number of iterations. In this paper we hybridized the PSO with a heuristic search algorithm to overcome the shortcomings of the PSO algorithm. In the proposed algorithm, called PSOHS, the particle swarm optimization is used to produce an initial solution to the clustering problem and then a heuristic search algorithm is applied to improve the quality of this solution by searching around it. The superiority of the proposed PSOHS clustering method, as compared to other popular methods for clustering problem is established for seven benchmark and real datasets including Iris, Wine, Crude Oil, Cancer, CMC, Glass and Vowel. 2013 Springer-Verlag Berlin Heidelberg. AU - Hatamlou, Abdolreza AU - Hatamlou, Masoumeh DA - 2013 DO - 10.1007/s12293-013-0110-x IS - 2 J2 - Memetic Computing KW - Cluster Analysis Clustering algorithms Crude oil Heuristic algorithms Learning algorithms Modular robots Particle swarm optimization (PSO) Problem solving N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 18659284 SP - 155-161 ST - PSOHS: An efficient two-stage approach for data clustering T2 - Memetic Computing TI - PSOHS: An efficient two-stage approach for data clustering UR - http://dx.doi.org/10.1007/s12293-013-0110-x VL - 5 ID - 941 ER - TY - JOUR AB - Background: Psychologically traumatic workplace events (known as critical incidents) occur within various work environments, with workgroups in certain industries vulnerable to multiple incidents. With the increasing prevalence of incidents in the USA, incident response is a growing practice area within occupational medicine, industrial psychology, occupational social work and other occupational health professions. Objective: To analyze a measure of incident severity based on level of disruption to the workplace and explore whether incident severity varied among different industry settings or between workgroups experiencing multiple vs single traumatic incidents. Methods: Administrative data mining was employed to examine practice data from a workplace trauma response unit in the USA. Bivariate analyses were conducted to test whether scores from an instrument measuring incident severity level varied among industry settings or between workgroups impacted by multiple vs isolated events. Results: Incident severity level differed among various industry settings. Banks, retail stores and fast food restaurants accounted for the most severe incidents, while industrial and manufacturing sites reported less severe incidents. Workgroups experiencing multiple incidents reported more severe incidents than workgroups experiencing a single incident. Conclusion: Occupational health practitioners should be alert to industry differences in several areas: pre-incident resiliency training, the content of business recovery plans, assessing worker characteristics, strategies to assist continuous operations and assisting workgroups impacted by multiple or severe incidents. AU - DeFraia, G. S. DA - 2015/07// IS - 3 L1 - internal-pdf://1289547084/DeFraia-2015-Psychological Trauma in the Workp.pdf PY - 2015 SN - 2008-6520 SP - 155-168 ST - Psychological Trauma in the Workplace: Variation of Incident Severity among Industry Settings and between Recurring vs Isolated Incidents T2 - International Journal of Occupational and Environmental Medicine TI - Psychological Trauma in the Workplace: Variation of Incident Severity among Industry Settings and between Recurring vs Isolated Incidents UR - http://www.theijoem.com/ijoem/index.php/ijoem/article/download/545/628 VL - 6 ID - 2159 ER - TY - JOUR AU - Nieuwenhuijsen, K. AU - Bruinvels, D. AU - Frings-Dresen, M. DA - 2010 DP - Google Scholar IS - 4 PY - 2010 SP - 277-286 ST - Psychosocial work environment and stress-related disorders, a systematic review T2 - Occupational Medicine TI - Psychosocial work environment and stress-related disorders, a systematic review UR - http://occmed.oxfordjournals.org/content/60/4/277.short VL - 60 Y2 - 2016/09/24/15:41:08 ID - 2392 ER - TY - JOUR AB - The amount of shared data available for re-analysis has greatly increased in the last few years. Here we discuss some of the challenges raised by the analysis of these shared datasets and propose some strategies to address these issues. AU - Poldrack, Russell A. AU - Poline, Jean-Baptiste DA - 2015 DO - 10.1016/j.tics.2014.11.008 DP - APA PsycNET IS - 2 KW - *Data Collection *Data Mining *Experimentation *Methodology Cognitive Neuroscience Data Sharing Meta Analysis LA - English PY - 2015 SN - 1364-6613 SP - 59-61 ST - The publication and reproducibility challenges of shared data T2 - Trends in Cognitive Sciences TI - The publication and reproducibility challenges of shared data UR - http://psycnet.apa.org.ezproxy.lib.vt.edu/index.cfm?fa=search.displayRecord&id=3FADC1DE-9041-E9D3-1B0A-3623CB6197E7&resultID=7&page=1&dbTab=all&search=true VL - 19 ID - 455 ER - TY - JOUR AB - Publication bias denotes the tendency not to publish a study if its findings are not statistically significant or are regarded as unwanted or difficult to explain In road safety evaluation research, studies that find an Increase in the number of accidents as a result of a safety treatment may be less likely to be published than studies that find an accident reduction How publication bias can be detected and how its influence on summary estimates of effect in meta analyses can be determined are demonstrated by applying the trim and fill technique Examples are based on recent analyses that indicate the presence of publication bias in studies that evaluate several different road safety measures Although there is no way to deter mine conclusively how widespread publication bias is, indications of bias have been found for a number of well known and widely applied road safety measures Factors that may influence the likelihood of publication bias are discussed AU - Hoye, Alena AU - Elvik, Rune DA - 2010 DO - 10.3141/2147-01 IS - 2147 PY - 2010 SN - 0361-1981 SP - 1-8 ST - Publication Bias in Road Safety Evaluation How Can It Be Detected and How Common Is It? T2 - Transportation Research Record TI - Publication Bias in Road Safety Evaluation How Can It Be Detected and How Common Is It? ID - 1943 ER - TY - JOUR AB - Background: Shared Decision Making (SDM) is increasingly advocated as a model for medical decision making. However, there is still low use of SDM in clinical practice. High impact factor journals might represent an efficient way for its dissemination. We aimed to identify and characterize publication trends of SDM in 15 high impact medical journals. Methods: We selected the 15 general and internal medicine journals with the highest impact factor publishing original articles, letters and editorials. We retrieved publications from 1996 to 2011 through the full-text search function on each journal website and abstracted bibliometric data. We included publications of any type containing the phrase shared decision making or five other variants in their abstract or full text. These were referred to as SDM publications. A polynomial Poisson regression model with logarithmic link function was used to assess the evolution across the period of the number of SDM publications according to publication characteristics. Results: We identified 1285 SDM publications out of 229,179 publications in 15 journals from 1996 to 2011. The absolute number of SDM publications by journal ranged from 2 to 273 over 16 years. SDM publications increased both in absolute and relative numbers per year, from 46 (0.32% relative to all publications from the 15 journals) in 1996 to 165 (1.17%) in 2011. This growth was exponential (P 0.01). We found fewer research publications (465, 36.2% of all SDM publications) than non-research publications, which included non-systematic reviews, letters, and editorials. The increase of research publications across time was linear. Full-text search retrieved ten times more SDM publications than a similar PubMed search (1285 vs. 119 respectively). Conclusion: This review in full-text showed that SDM publications increased exponentially in major medical journals from 1996 to 2011. This growth might reflect an increased dissemination of the SDM concept to the medical community. AU - Blanc, X. AU - Tinh-Hai, Collet AU - Auer, R. AU - Fischer, R. AU - Locatelli, I. AU - Iriarte, P. AU - Krause, J. AU - Legare, F. AU - Cornuz, J. DA - 2014 DO - 10.1186/1472-6947-14-71 J2 - BMC Medical Informatics and Decision Making KW - data mining decision making information retrieval medical computing polynomials Regression Analysis stochastic processes text analysis Web sites L1 - internal-pdf://0711645630/Blanc-2014-Publication trends of shared decisi.pdf PY - 2014 SN - 1472-6947 SP - 71-(9 pp.) ST - Publication trends of shared decision making in 15 high impact medical journals: a full-text review with bibliometric analysis T2 - BMC Medical Informatics and Decision Making TI - Publication trends of shared decision making in 15 high impact medical journals: a full-text review with bibliometric analysis UR - http://dx.doi.org/10.1186/1472-6947-14-71 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4136407/pdf/1472-6947-14-71.pdf VL - 14 ID - 652 ER - TY - CONF AB - Biomedical knowledge stored in the web is increasing significantly as most of the biomedical research papers are published online. Biomedical entity extraction is a crucial procedure for efficient text analysis and retrieval. PubMed is a very popular indexing engine, concerning life sciences and biomedical research. Being a free database, it accesses primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics. In this work, we propose a metasearch engine over PubMed, which classifies PubMed results according to their specific topic and the extracted Biomedical entities. This method helps researchers to browse and search in the retrieved results. In order to provide more accurate clustering results, we utilize the biomedical ontology, named MeSH as well as RxNorm which is a tool for supporting semantic interoperation between drug terminologies and pharmacy knowledge base systems. Finally, we embed the proposed methodology in an online system. AU - Kanavos, A. AU - Theodoridis, E. AU - Tsakalidis, A. C3 - 2014 25th International Workshop on Database and Expert Systems Applications (DEXA), 1-5 Sept. 2014 DA - 2014 DO - 10.1109/DEXA.2014.32 KW - data mining information retrieval medical computing ontologies (artificial intelligence) Search Engines text analysis PB - IEEE PY - 2014 SP - 82-6 ST - A PubMed Meta Search Engine Based on Biomedical Entity Mining T3 - 2014 25th International Workshop on Database and Expert Systems Applications (DEXA) TI - A PubMed Meta Search Engine Based on Biomedical Entity Mining UR - http://dx.doi.org/10.1109/DEXA.2014.32 ID - 1860 ER - TY - JOUR AB - BACKGROUND: Computational discovery is playing an ever-greater role in supporting the processes of knowledge synthesis. A significant proportion of the more than 18 million manuscripts indexed in the PubMed database describe infectious disease syndromes and various infectious agents. This study is the first attempt to integrate online repositories of text-based publications and microbial genome databases in order to explore the dynamics of relationships between pathogens and infectious diseases. METHODOLOGY/PRINCIPAL FINDINGS: Herein we demonstrate how the knowledge space of infectious diseases can be computationally represented and quantified, and tracked over time. The knowledge space is explored by mapping of the infectious disease literature, looking at dynamics of literature deposition, zooming in from pathogen to genome level and searching for new associations. Syndromic signatures for different pathogens can be created to enable a new and clinically focussed reclassification of the microbial world. Examples of syndrome and pathogen networks illustrate how multilevel network representations of the relationships between infectious syndromes, pathogens and pathogen genomes can illuminate unexpected biological similarities in disease pathogenesis and epidemiology. CONCLUSIONS/SIGNIFICANCE: This new approach based on text and data mining can support the discovery of previously hidden associations between diseases and microbial pathogens, clinically relevant reclassification of pathogenic microorganisms and accelerate the translational research enterprise. AU - Sintchenko, Vitali AU - Anthony, Stephen AU - Phan, Xuan-Hieu AU - Lin, Frank AU - Coiera, Enrico W. DA - 2010 DO - 10.1371/journal.pone.0009535 IS - 3 J2 - PLoS One KW - Algorithms Communicable Diseases/*diagnosis/*epidemiology/microbiology Computational Biology/methods Databases, Bibliographic Data Mining/methods Genome Humans National Library of Medicine (U.S.) PubMed United States LA - eng PY - 2010 SN - 1932-6203 1932-6203 SP - e9535 ST - A PubMed-wide associational study of infectious diseases T2 - PloS one TI - A PubMed-wide associational study of infectious diseases VL - 5 ID - 285 ER - TY - JOUR AB - The PubMed literature database is a valuable source of information for scientific research. It is rich in biomedical literature with more than 24 million citations. Data-mining of voluminous literature is a challenging task. Although several text-mining algorithms have been developed in recent years with focus on data visualization, they have limitations such as speed, are rigid and are not available in the open source. We have developed an R package, pubmed.mineR, wherein we have combined the advantages of existing algorithms, overcome their limitations, and offer user flexibility and link with other packages in Bioconductor and the Comprehensive R Network (CRAN) in order to expand the user capabilities for executing multifaceted approaches. Three case studies are presented, namely, 'Evolving role of diabetes educators', 'Cancer risk assessment' and 'Dynamic concepts on disease and comorbidity' to illustrate the use of pubmed.mineR. The package generally runs fast with small elapsed times in regular workstations even on large corpus sizes and with compute intensive functions. The pubmed.mineR is available at http://cran.rproject. org/web/packages/pubmed.mineR. AU - Rani, Jyoti AU - Shah, A. B. Rauf AU - Ramachandran, Srinivasan DA - 2015/10//undefined IS - 4 J2 - J Biosci KW - *Data Mining *Search Engine *Software Algorithms Comorbidity Diabetes Mellitus/diagnosis/epidemiology/pathology Humans Medical Subject Headings/utilization Neoplasms/diagnosis/epidemiology/pathology PubMed/*statistics & numerical data Risk Factors Treatment Outcome LA - eng PY - 2015 SN - 0973-7138 0250-5991 SP - 671-682 ST - pubmed.mineR: an R package with text-mining algorithms to analyse PubMed abstracts T2 - Journal of biosciences TI - pubmed.mineR: an R package with text-mining algorithms to analyse PubMed abstracts VL - 40 ID - 277 ER - TY - JOUR AB - The exponential growth of biomedical literature provides the opportunity to develop approaches for facilitating the identification of possible relationships between biomedical concepts. Indexing by Medical Subject Headings (MeSH) represent high-quality summaries of much of this literature that can be used to support hypothesis generation and knowledge discovery tasks using techniques such as association rule mining. Based on a survey of literature mining tools, a tool implemented using Ruby and R - PubMedMiner - was developed in this study for mining and visualizing MeSH-based associations for a set of MEDLINE articles. To demonstrate PubMedMiner's functionality, a case study was conducted that focused on identifying and comparing comorbidities for asthma in children and adults. Relative to the tools surveyed, the initial results suggest that PubMedMiner provides complementary functionality for summarizing and comparing topics as well as identifying potentially new knowledge. AU - Zhang, Yucan AU - Sarkar, Indra Neil AU - Chen, Elizabeth S. DA - 2014 J2 - AMIA Annu Symp Proc KW - *Data Mining *Medical Subject Headings *PubMed Medline Unified Medical Language System LA - eng PY - 2014 SN - 1942-597X 1559-4076 SP - 1990-1999 ST - PubMedMiner: Mining and Visualizing MeSH-based Associations in PubMed T2 - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium TI - PubMedMiner: Mining and Visualizing MeSH-based Associations in PubMed VL - 2014 ID - 300 ER - TY - JOUR AB - Objective: HIV infection is a well-recognised risk factor for pulmonary arterial hypertension (PAH). In order to evaluate the influence of highly active antiretroviral therapy on the development of PAH in HIV infection (APAH-HIV), we performed a systematic review of published literature contributing to the topic. Methods: Relevant publications were retrieved by a comprehensive literature search in major medical databases including Medline, AIDSinfo, AIDSline, Cochrane Library of Systematic Reviews, Database of Abstracts of Reviews of Effects, Health Technology Assessment Database, Healthstar and European Database on AIDS and HIV Infection. Inclusion criteria were studies on adult patients with HIV and PAH. The search of the literature was followed by standardised information extraction and analysis with reference to clinical characteristics, diagnostic procedures, therapy and outcome. Results: The majority of identified publications related to APAH-HIV reported case reports. Among 192 identified reports, 57% of the patients were male (mean age: 36 +/- 7.6 years). Intravenous drug abuse was the Most common causal factor for HIV infection (53%). At the time of diagnosis of PAH, the patients had a mean CD4 count of 355 cells/mu l (SD 276) and were almost equally distributed over all stages of HIV infection. Two-thirds of the patients were in NYHA stages III and IV at the time of diagnosis. Echocardiography and right heart catheterisation showed right ventricular dilation in 85% and a mean pulmonary vascular resistance of 1001 dyn.s.cm(-5) (SD 418), respectively. Therapy included specific vasodilators in 32.0% of the patients. The 1-year survival rate estimated with Kaplan-Meier statistics was 50%. Cardio-pulmonary complications were the most frequent cause of death (77%). Conclusion: PAH is a devastating complication of HIV infection. Patients with PAH do not die of opportunistic infections or malignancies but of right heart failure. Therefore, research should concentrate on diagnosis and treatment options for APAH-HIV patients. AU - Krings, Peter AU - Konorza, Thomas AU - Neumann, Till AU - Erbel, Raimund DA - 2007 DO - 10.1185/030079907X199556 PY - 2007 SN - 0300-7995 SP - S63-S69 ST - Pulmonary arterial hypertension related to HIV infection: a systematic review of the literature comprising 192 cases T2 - Current Medical Research and Opinion TI - Pulmonary arterial hypertension related to HIV infection: a systematic review of the literature comprising 192 cases VL - 23 ID - 2128 ER - TY - CONF AB - Learning Materials are structured as Learning Objects and are available in Learning Object Repository(LOR) which are used in various courses of an Elearning environment. Learning Management System aggregates these objects found in LOR, provides an infrastructure and platform through which learning content is delivered and managed. Adaptation, personalization, usage statistics are some of the LMS functionality. But due to the exponential availability of Learning Objects, it leads to increase in difficulty to find the right resource to the user based on the context of learning or his/her preferences. When we search through keywords it results in huge quantity of information being displayed. In this paper we are considering the Search patterns of the users stored in search logs and based on it association rules are generated using Frequent Pattern Tree. We can generate a list of Frequent learning objects using frequent item set mining approach FP-Tree, so that a reduced, appropriate and relevant objects can be delivered to the users. AU - Sabitha, A. S. AU - Mehrotra, D. C3 - 2013 International Conference on Computer Communication and Informatics (ICCCI), 4-6 Jan. 2013 DA - 2012 DO - 10.1109/ICCCI.2013.6466265 KW - Computer aided instruction data mining meta data query processing Trees (mathematics) PB - IEEE PY - 2012 SP - 4-pp. ST - A push strategy for delivering of Learning Objects using meta data based association analysis (FP-Tree) T3 - 2013 International Conference on Computer Communication and Informatics (ICCCI) TI - A push strategy for delivering of Learning Objects using meta data based association analysis (FP-Tree) UR - http://dx.doi.org/10.1109/ICCCI.2013.6466265 ID - 1710 ER - TY - CONF AB - The World-Wide Web, due to its sheer size and dynamics, has turned into one of the most fascinating and important data sources for large-scale analysis and investigation, ranging from content-based information location, dynamics of change, to community analysis. Yet, most projects so far rely on special-purpose tools optimized for a given task, providing only limited flexibility. In this paper we propose a data warehouse-based approach to analyze the World-Wide Web. Information contained in the Web pages, meta data on the documents, as well as information acquired from additional sources such as the WHOIS database, are integrated into a multidimensional view of the Web. The resulting system allows for flexible analysis of the various characteristics of the Web. Results from a prototypical study of the Austrian national Web space as part of the AOLA project demonstrate the potential of the presented approach. 2002 IEEE. AU - Rauber, Andreas AU - Witvoet, Oliver AU - Aschenbrenner, Andreas AU - Bruckner, Robert C3 - 13th International Workshop on Database and Expert Systems Applications, DEXA 2002, September 2, 2002 - September 6, 2002 DA - 2002 DO - 10.1109/DEXA.2002.1045999 KW - data mining Data warehouses Expert systems Information analysis Large scale systems Websites World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2002 SN - 15294188 SP - 822-826 ST - Putting the World Wide Web into a data warehouse: A DWH-based approach to Web analysis T3 - Proceedings - International Workshop on Database and Expert Systems Applications, DEXA TI - Putting the World Wide Web into a data warehouse: A DWH-based approach to Web analysis UR - http://dx.doi.org/10.1109/DEXA.2002.1045999 VL - 2002-January ID - 1342 ER - TY - JOUR AU - Onwuegbuzie, Anthony J. AU - Leech, Nancy L. AU - Collins, Kathleen M. T. DA - 2012 DP - Google Scholar IS - 28 L1 - http://nsuworks.nova.edu/cgi/viewcontent.cgi?article=1754&context=tqr PY - 2012 SP - 1 ST - Qualitative analysis techniques for the review of the literature T2 - The qualitative report TI - Qualitative analysis techniques for the review of the literature UR - http://search.proquest.com/openview/88fbade9303c7090777d07c79499bc49/1?pq-origsite=gscholar VL - 17 Y2 - 2016/09/24/15:39:54 ID - 2379 ER - TY - CONF AB - This symposium addresses how different classes of research methods, all based upon the use of log data from educational software, can facilitate the analysis of students' learning strategies and behaviors. To this end, four multi-method programs of research are discussed, including the use of qualitative, quantitative-statistical, quantitative-modeling, and educational data mining methods. The symposium presents evidence regarding the applicability of each type of method to research questions of different grain sizes, and provides several examples of how these methods can be used in concert to facilitate our understanding of learning processes, learning strategies, and behaviors related to motivation, meta-cognition, and engagement. ISLS. AU - Baker, Ryan S. J. D. AU - Gobert, Janice D. AU - Van Joolingen, Wouter AU - Azevedo, Roger AU - Roll, Ido AU - Sao Pedro, Michael AU - Raziuddin, Juelaila AU - Krach, Nathan AU - De Carvalho, Adriana M. J. B. AU - Raspat, Jay AU - Aleven, Vincent AU - Corbett, Albert T. AU - Koedinger, Kenneth R. AU - Cocea, Mihaela AU - Hershkovitz, Arnon AU - Witherspoon, Amy AU - Chauncey, Amber AU - Lintean, Mihai AU - Cai, Zhiqiang AU - Rus, Vasile AU - Greesser, Arthur C3 - 9th International Conference of the Learning Sciences, ICLS 2010, June 29, 2010 - July 2, 2010 DA - 2010 KW - data mining Learning systems Research N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Society of the Learning Sciences (ISLS) PY - 2010 SP - 45-52 ST - Qualitative, quantitative, and data mining methods for analyzing log data to characterize students' learning strategies and behaviors T3 - Learning in the Disciplines: ICLS 2010 Conference Proceedings - 9th International Conference of the Learning Sciences TI - Qualitative, quantitative, and data mining methods for analyzing log data to characterize students' learning strategies and behaviors VL - 2 ID - 1875 ER - TY - JOUR AB - The critical appraisal and quality assessment of primary research are key stages in systematic review and evidence synthesis. These processes are driven by the need to determine how far the primary research evidence, singly and collectively, should inform findings and, potentially, practice recommendations. Quality assessment of primary qualitative research remains a contested area. This article reviews recent developments in the field charting a perceptible shift from whether such quality assessment should be conducted to how it might be performed. It discusses the criteria that are used in the assessment of quality and how the findings of the process are used in synthesis. It argues that recent research indicates that sensitivity analysis offers one potentially useful means for advancing this controversial issue. AU - Carroll, Christopher AU - Booth, Andrew DA - 2015 DO - 10.1002/jrsm.1128 DP - APA PsycNET IS - 2 KW - *Experimentation *Literature Review *Measurement *Methodology Qualitative Research L1 - internal-pdf://1748349614/Carroll-2015-Quality assessment of qualitative.pdf LA - English PY - 2015 SN - 1759-2887 1759-2879 SP - 149-154 ST - Quality assessment of qualitative evidence for systematic review and synthesis T2 - Research Synthesis Methods TI - Quality assessment of qualitative evidence for systematic review and synthesis: Is it meaningful, and if so, how should it be performed? UR - http://psycnet.apa.org.ezproxy.lib.vt.edu/index.cfm?fa=search.displayRecord&id=3FADC1DE-9041-E9D3-1B0A-3623CB6197E7&resultID=10&page=1&dbTab=all&search=true http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/jrsm.1128/asset/jrsm1128.pdf?v=1&t=itiqxz38&s=5a38b1e3cfed44d484f277b71d6586207065fe4a VL - 6 ID - 457 ER - TY - JOUR AB - Objectives To deter-mine by how much statins reduce serum concentrations of low density lipoprotein (LDL) cholesterol and incidence of ischaemic heart disease (TFID) events and stroke, according to drug, dose, and duration of treatment, Design Three meta-analyses: 164 short term randomised placebo controlled trials of six statins and LDL cholesterol reduction; 58 randomised trials of cholesterol lowering by any means and IHD events; and nine cohort studies and the same 58 trials on stroke. Main outcome measures Reductions in LDL cholesterol according to statin and dose; reduction in IHD events and stroke for a specified reduction in LDL cholesterol. Results Reductions in LDL cholesterol (in the 164 trials) were 2.8 mmol/l (60%) with rosuvastatin 80 mg/day, 2.6 mmol/l (55%) with atorvastatin 80 mg/day, 1.8 mmol/l (40%) with atorvastatin 10 mg/day, lovastatin 40 mg/day, simvastatin 40 mg/day, or rosuvastatin 5 mg/day, all from pretreatment concentrations of 4.8 mmol/l. Pravastatin and fluvastatin achieved smaller reductions. In the 58 trials for an LDL cholesterol reduction of 1.0 mmol/l the risk of IHD events was reduced by 11% in the first year of treatment, 24% in the second year, 33% in years three to five, and by 36% thereafter (P < 0.001 for trend). H-ID events were reduced by 20%, 31%, and 51% in trials grouped by LDL cholesterol reduction (means 0.5 mmol/l, 1.0 mmol/l, and 1.6 mmol/l) after results from first two years of treatment were excluded (P < 0.001 for trend). After several years a reduction of 1.8 mmol/l would reduce IHD events by an estimated 61%. Results from the same 58 trials, corroborated by results from the nine cohort studies, show that lowering LDL cholesterol decreases all stroke by 10% for a I mmol/l reduction and 17% for a 1.8 mmol/l reduction. Estimates allow for the fact that trials tended to recruit people with vascular disease, among whom the effect of LDL cholesterol reduction on stroke is greater because of their higher risk of thromboembolic stroke (rather than haemorrhagic stroke) compared with people in the general population. Conclusions Statins can lower LDL cholesterol concentration by an average of 1.8 mmol/l which reduces the risk of IHD events by about 60% and stroke by 170%. AU - Law, M. R. AU - Wald, N. J. AU - Rudnicka, A. R. DA - 2003/06/28/ DO - 10.1136/bmj.326.7404.1423 IS - 7404 L1 - internal-pdf://0988506952/Law-2003-Quantifying effect of statins on low.pdf PY - 2003 SN - 0959-535X SP - 1423-1427 ST - Quantifying effect of statins on low density lipoprotein cholesterol, ischaemic heart disease, and stroke: systematic review and meta-analysis T2 - British Medical Journal TI - Quantifying effect of statins on low density lipoprotein cholesterol, ischaemic heart disease, and stroke: systematic review and meta-analysis UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC162260/pdf/el-ppr1423.pdf VL - 326 ID - 1918 ER - TY - JOUR AB - Ten years of maintenance, nine published revisions of the standards for the Testing and Test Control Notation version 3 (TTCN-3), more than 500 change requests since 2006, and 10 years of activity on the official TTCN-3 mailing list add up to a rich history, not unlike that of many successful Open Source Software (OSS) projects. In this article, we contemplate TTCN-3 in the context of software evolution and examine its history quantitatively. We mined the changes in the textual content of the standards, the data in change requests from the past 5 years, and the mailing list archives from the past 10 years. In addition, to characterize the use of the TTCN-3 we investigated the meta-data of the contributions at the TTCN-3 User Conference, and the use of language constructs in a large-scale TTCN-3 test suite. Based on these data sets, we first analyze the amount, density, and location of changes within the different parts of the standard. Then, we analyze the activity and focus of the user community and the maintenance team in both the change request management system and the official TTCN-3 mailing list. Finally, we analyze the distribution of contributions at the TTCN-3 User Conference across different topics over the past 8 years and construct use anomalies during the development of a large-scale test suite. Our findings indicate that the TTCN-3 is becoming increasingly stable as the overall change density and intensity, as well as the number of change requests are decreasing, despite the monotonous increase in the size of the standards. 2013 Springer-Verlag Berlin Heidelberg. AU - Makedonski, Philip AU - Grabowski, Jens AU - Philipp, Florian DA - 2014 DO - 10.1007/s10009-013-0282-1 IS - 3 J2 - International Journal on Software Tools for Technology Transfer KW - Chemical analysis data mining Human resource management Information Dissemination Maintenance Open source software software engineering Standards N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 14332779 SP - 227-246 ST - Quantifying the evolution of TTCN-3 as a language T2 - International Journal on Software Tools for Technology Transfer TI - Quantifying the evolution of TTCN-3 as a language UR - http://dx.doi.org/10.1007/s10009-013-0282-1 VL - 16 ID - 977 ER - TY - JOUR AB - Ischemic stroke, still lacking an effective neuroprotective therapy is the third leading cause of global mortality and morbidity. Here, we have applied an 8-plex iTRAQ-based 2D-LC-MS/MS strategy to study the commonly regulated infarct proteome from three different brain regions (putamen, thalamus and the parietal lobe) of female Japanese patients. Infarcts were compared with age-, post-mortem interval- and location-matched control specimens. The iTRAQ experiment confidently identified 1520 proteins with 0.1% false discovery rate. Bioinformatics data mining and immunochemical validation of pivotal perturbed proteins revealed a global failure of the cellular energy metabolism in the infarcted tissues as seen by the parallel down-regulation of proteins related to glycolysis, pyruvate dehydrogenase complex, TCA cycle and oxidative phosphorylation. The concomitant down-regulation of all participating proteins (SLC25A11, SLC25A12, GOT2 and MDH2) of malate-aspartate shuttle might be responsible for the metabolic in-coordination between the cytosol and mitochondria resulting in the failure of energy metabolism. The levels of proteins related to reactive gliosis (VIM, GFAP) and anti-inflammatory response (ANXA1, ANXA2) showed an increasing trend. The elevation of ferritin (FTL, FTH1) may indicate an iron-mediated oxidative imbalance aggravating the mitochondrial failure and neurotoxicity. The deregulated proteins could be useful as potential therapeutic targets or biomarkers for ischemic stroke. BIOLOGICAL SIGNIFICANCE: Clinical proteomics of stroke has been lagging behind other areas of clinical proteomics like Alzheimer's disease or schizophrenia. Our study is the first quantitative clinical proteomics study where iTRAQ-2D-LC-MS/MS has been utilized in the area of ischemic stroke to obtain a comparative profile of human ischemic infarcts and age-, sex-, location- and post-mortem interval-matched control brain specimens. Different pathological attributes of ischemic stroke well-known through basic and pre-clinical research such as failure of cellular energy metabolism, reactive gliosis, activation of anti-inflammatory response and aberrant iron metabolism have been observed at the bedside. Our dataset could act as a reference for similar studies done in the future using ischemic brain samples from various brain banks across the world. A meta-analysis of these studies could help to map the pathological proteome specific to ischemic stroke that will guide the scientific community to better evaluate the pros and cons of the pre-clinical models for efficacy and mechanistic studies. Infarct being the core of injury should have the most intense regulation for several key proteins involved in the pathophysiology of ischemic stroke. Hence, a part of the up-regulated proteome could leak into the general circulation that may offer candidates of interest as potential biomarkers. In support of our proposed hypothesis, we report ferritin in the current study as one of the most elevated proteins in the infarct, which has been documented as a biomarker in the context of ischemic stroke by an independent study. Overall, our approach has the potential to identify probable therapeutic targets and biomarkers in the area of ischemic stroke. AU - Datta, Arnab AU - Akatsu, Hiroyasu AU - Heese, Klaus AU - Sze, Siu Kwan DA - 2013/10/08/ DO - 10.1016/j.jprot.2013.08.017 J2 - J Proteomics KW - 8-Plex iTRAQ Aspartic Acid/chemistry Autopsy Biomarkers/metabolism Brain Infarction/*metabolism/pathology Brain Ischemia/*metabolism/pathology Brain/*metabolism Clinical proteomics Cluster Analysis Cytosol/metabolism Female Ferritin Ferritins/chemistry Gliosis/pathology Humans Iron/chemistry Ischemic stroke Malate-aspartate shuttle Malates/chemistry Mitochondria/metabolism Neurons/metabolism Oxygen/chemistry Proteome/*metabolism Proteomics Static Electricity Trypsin/chemistry L1 - internal-pdf://1862875640/Datta-2013-Quantitative clinical proteomic stu.pdf LA - eng PY - 2013 SN - 1876-7737 1874-3919 SP - 556-568 ST - Quantitative clinical proteomic study of autopsied human infarcted brain specimens to elucidate the deregulated pathways in ischemic stroke pathology T2 - Journal of proteomics TI - Quantitative clinical proteomic study of autopsied human infarcted brain specimens to elucidate the deregulated pathways in ischemic stroke pathology UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1874391913004582/1-s2.0-S1874391913004582-main.pdf?_tid=d8321e8a-8331-11e6-bb77-00000aab0f27&acdnat=1474816258_3b0368e335010c48416a0e54eab0ba70 VL - 91 ID - 241 ER - TY - CONF AB - After seven years of participation in CLEF we take a look back at the developments and trends in different domains like evaluation measures and retrieval models. For that purpose a new collection containing all CLEF working notes including their metadata was created and analysed. AU - Wilhelm-Stein, T. AU - Eibl, M. C3 - Information Access Evaluation. Multilinguality, Multimodality, and Visualization. 4th International Conference of the CLEF Initiative, CLEF 2013, 23-26 Sept. 2013 DA - 2013 DO - 10.1007/978-3-642-40802-1_2 KW - data mining information retrieval meta data PB - Springer Verlag PY - 2013 SP - 13-16 ST - A Quantitative Look at the CLEF Working Notes T3 - Information Access Evaluation. Multilinguality, Multimodality, and Visualization. 4th International Conference of the CLEF Initiative, CLEF 2013. Proceedings: LNCS 8138 TI - A Quantitative Look at the CLEF Working Notes UR - http://dx.doi.org/10.1007/978-3-642-40802-1_2 ID - 1450 ER - TY - JOUR AB - Rice yield is a complex trait controlled by quantitative trait loci (QTLs). In the past three decades, thousands of QTLs for rice yield traits have been detected, but only a very small percentage has been cloned to date, as identifying the QTL genes requires a substantial investment of time and money. Meta-analysis provides a simple, reliable, and economical method for integrating information from multiple QTL studies across various environmental and genetic backgrounds, detecting consistent QTLs powerfully and estimating their genetic positions precisely. In this study, we aimed to locate consistent QTL regions associated with rice panicle traits by applying a genome-wide QTL meta-analysis approach. We first conducted a QTL analysis of 5 rice panicle traits using 172 plants in 2011 and 138 plants in 2012 from an F2 population derived from a cross between Nipponbare and H71D rice cultivators. A total of 54 QTLs were detected, and these were combined with 1085 QTLs collected from 82 previous studies to perform a meta-analysis using BioMercator v4.2. The integration of 82 maps resulted in a consensus map with 6970 markers and a total map length of 1823.1 centimorgan (cM), on which 837 QTLs were projected. These QTLs were then integrated into 87 meta-quantitative trait loci (MQTLs) by meta-analysis, and the 95 % confidence intervals (CI) of them were smaller than the mean value of the original QTLs. Also, 30 MQTLs covered 47 of the 54 QTLs detected from the cross between Nipponbare and H71D in this study. Among them, the two major and stable QTLs, spp10.1 and sd10.1, were found to be included in MQTL10.4. The three other major QTLs, pl3.1, sb2.1, and sb10.1, were included in MQTL3.3, MQTL2.2, and MQTL10.3, respectively. A total of 21 of the 87 MQTLs' phenotypic variation were >20 %. In total, 24 candidate genes were found in 15 MQTLs that spanned physical intervals <0.2 Mb, including genes that have been cloned previously, e.g., EP3, LP, MIP1, HTD1, DSH1, and OsPNH1. However, it would be beneficial to identify a greater number of candidate genes from these MQTLs. Mining new genes that modulate yield and its related traits would assist researchers to better understand the relevant molecular mechanisms. The MQTLs found in this study that have small physical and genetic intervals are useful not only for marker-assisted selection and pyramiding, but they also provide important information of rice yield and related gene mining for future research. AU - Wu, Yahui AU - Huang, Ming AU - Tao, Xingxing AU - Guo, Tao AU - Chen, Zhiqiang AU - Xiao, Wuming DA - 2016/10//undefined DO - 10.1007/s00438-016-1227-7 IS - 5 J2 - Mol Genet Genomics KW - Meta-analysis MQTL QTL analysis Rice panicle traits Yield LA - eng PY - 2016 SN - 1617-4623 1617-4623 SP - 1927-1940 ST - Quantitative trait loci identification and meta-analysis for rice panicle-related traits T2 - Molecular genetics and genomics : MGG TI - Quantitative trait loci identification and meta-analysis for rice panicle-related traits VL - 291 ID - 31 ER - TY - JOUR AB - We give a quantitative analysis of a result due to Borwein, Reich and Shafrir on the asymptotic behaviour of the general Krasnoselski-Mann iteration for nonexpansive self-mappings of convex sets in arbitrary normed spaces. Besides providing explicit bounds we also get new qualitative results concerning the independence of the rate of asymptotic regularity of that iteration from various input data. In the special case of bounded convex sets, where by well-known results of Ishikawa, Edelstein/O'Brien and Goebel/Kirk the norm of the iteration converges to zero, we obtain uniform bounds which do not depend on the starting point of the iteration and the nonexpansive function, but only depend on the error epsilon, an upper bound on the diameter of C and some very general information on the sequence of scalars lambda (k) used in the iteration. Only in the special situation, where lambda (k):=lambda is constant, uniform bounds were known in that bounded case. For the unbounded case, no quantitative information was known before. Our results were obtained in a case study of analysing non-effective proofs in analysis by certain logical methods. General logical meta-theorems of the author guarantee (at least under some additional restrictions) the extractability of such bounds from proofs of a certain kind and provide an algorithm to extract them. Our results in the present paper (which we present here without any reference to that logical background) were found by applying that method to the original proof of the Borwein/Reich/Shafrir theorem. The general logical method which led to these results will be discussed (with further examples) in [22]. AU - Kohlenbach, U. DA - 2001 DO - 10.1081/NFA-100105311 IS - 5-6 PY - 2001 SN - 0163-0563 SP - 641-656 ST - A quantitative version of a theorem due to Borwein-Reich-Shafrir T2 - Numerical Functional Analysis and Optimization TI - A quantitative version of a theorem due to Borwein-Reich-Shafrir VL - 22 ID - 2184 ER - TY - JOUR AB - Background: Mentoring is a key predictor of empowerment and prospectively a game changer in the quest to improve health inequities. This systematic review reports on the state of evidence on mentoring for Indigenous Australians by identifying the quantity, nature, quality and characteristics of mentoring publications. Methods: Thirteen databases were searched using specific search strings from 1983 - 2012. Grey literature was also canvassed. The resultant publications were mined to identify their outputs, nature, and quality. These were then conceptually mined for their characteristics to develop a model of mentoring that included the initiating environments, facilitating environments, operational strategies and outcomes. Results: 771 citations were identified; 37 full text publications met inclusion criteria and were assessed. Fifteen were eligible for review. Four of five original research publications used strong qualitative research designs. No publications were found before 1999; the largest proportion concentrated in 2011 (n = 4). Facilitating environments included: mapping participants' socio-cultural and economic context; formal mentoring practices with internal flexibility; voluntary participation; integrated models with wrap-around services; mentor/staff competencies; and sustained funding. Mentoring strategies comprised: holistic scaffolding approaches; respectful, trusting, one-on-one mentoring relationships; knowledgeable mentors; regular contact; longer-term relationships and exit strategies; culturally-tailored programs; personal and social development opportunities; and specialised skills and learning opportunities. Outcomes varied in accordance to program aims and included improvements in aspects of education and employment, offending behaviours, relationships, and personal, social and professional development. Conclusion: Little research explored the effectiveness of mentoring, captured its impact qualitatively or quantitatively, developed appropriate measures or assessed its cost-effectiveness. There is a real need to evaluate programs particularly in terms of outcomes and, given there were no economic evaluations, costs. Commitments to improving Indigenous Australian mentoring rely on changes to funding structures and attitudes toward research. There was insufficient evidence to confidently prescribe a best practice model. Sufficient frequency of qualitative reporting between publications concluded that mentoring is a valuable empowerment strategy in the areas of health and wellbeing, education and employment and as a remedial and preventative measure in reducing offending behaviours. An evidence-informed mentoring model would take into account the key findings of the review. AU - Bainbridge, Roxanne AU - Tsey, Komla AU - McCalman, Janya AU - Towle, Simon DA - 2014/12/13/ DO - 10.1186/1471-2458-14-1263 L1 - internal-pdf://1244316437/Bainbridge-2014-The quantity, quality and char.pdf PY - 2014 SN - 1471-2458 SP - 1263 ST - The quantity, quality and characteristics of Aboriginal and Torres Strait Islander Australian mentoring literature: a systematic review T2 - Bmc Public Health TI - The quantity, quality and characteristics of Aboriginal and Torres Strait Islander Australian mentoring literature: a systematic review UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4302126/pdf/12889_2013_Article_7448.pdf VL - 14 ID - 2179 ER - TY - JOUR AB - Medline/PubMed is the largest reference database collecting, organizing, and analyzing biomedical literature. We propose an automated methodology that is capable of searching relevant references for systematic reviews and meta-analysis from the Medline/PubMed database, and then to visualize the retrieved bibliography through an intuitive method based on a graph layout. In particular, document relationships are represented via the quartet method of hierarchical clustering. As this novel approach is based on an NP-hard combinatorial problem, a reduced variable neighborhood search is used for producing the graph of document clusters as output from the input distance matrix whereby the number of clusters is not known in advance. The distance matrix is derived from the link-ranking XML data returned by PubMed with the search results. It is demonstrated how the method allows to retrieve biomedical related bibliography, to find the structure of the literature collection examined, and to detect linked works within thematic areas of interest. With this methodology, scientists are assisted in the analysis of complex citations networks from the biomedical literature. 2015 The Authors. AU - Consoli, Sergio AU - Stilianakis, Nikolaos I. DA - 2015 DO - 10.1111/itor.12240 KW - Bibliographies Complex networks data mining Matrix algebra Optimization L1 - internal-pdf://1747844822/Consoli-2015-A quartet method based on variabl.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 09696016 ST - A quartet method based on variable neighborhood search for biomedical literature extraction and clustering TI - A quartet method based on variable neighborhood search for biomedical literature extraction and clustering UR - http://dx.doi.org/10.1111/itor.12240 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/itor.12240/asset/itor12240.pdf?v=1&t=itir8la7&s=76e4bd51fe305b94c67cd5b6a55749fde73bc8f6 ID - 1144 ER - TY - CONF AB - Combining the language model and inference network, as implemented in the Indri search engine, is efficient and verified approach. In this retrieval model, the user's information need is exhibited as Indri's Structural Query Language. Although the SQL allows expert users to richly represent its information needs but unfortunately, the complicacy of SQLs make them unpopular in the WEB for ordinary ones. Automatically detecting the concepts in a user's information need and generate a richly structured equivalent query is a good solution. It needs a concept repository and a way to extracting appropriate concepts from the user's information need. We utilize Wikipedia as a great, multilingual, free-content encyclopedia for our knowledge base and also some state of the art algorithms for extracting Wikipedia's concepts from the user's information need. This process is called "Query Wikification". Mining Wikipedia concept repository help us to propose a solution that supports usability in multilingual environments, cross-language retrievals, scalability and covering erratum, various equivalents and synonyms of a concept. Experimental results verify that our automatic structured query construction is an efficient and scalable method that has a very good potential to apply on the WEB. Our experiments over TEL corpus in CLEF2009 achieves +23% improvement in Mean Average Precision and retrieves more than 600 relevant documents against the Indri baselines. In Persian track, we evaluated a simple stemmer so-called "Perstem", a stemmer and light morphological analyzer for Persian language. Our experimental results show that using this stemmer in indexing and retrieval phase can significantly improve both precision (+91%) and recall (+43%). AU - Amir, Hossein Jadidinejad AU - Fariborz, Mahmoudi C3 - 2009 Cross Language Evaluation Forum Workshop, CLEF 2009, co-located with the 13th European Conference on Digital Libraries, ECDL 2009, September 30, 2009 - October 2, 2009 DA - 2009 KW - Computational linguistics data mining Digital Libraries Indexing (of information) information retrieval systems INFORMATION science Knowledge based systems Natural language processing systems Query languages query processing Scalability Search Engines Semantics Social networking (online) Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - CEUR-WS PY - 2009 SN - 16130073 ST - Query wikification: Mining structured queries from unstructured information needs using wikipedia-based semantic analysis T3 - CEUR Workshop Proceedings TI - Query wikification: Mining structured queries from unstructured information needs using wikipedia-based semantic analysis VL - 1175 ID - 1589 ER - TY - CONF AB - Bioinformatic data sources available on the Web are multiple and heterogenous. The lack of documentation and the difficulty of interaction with these data banks require users competence in both informatics and biological fields for an optimal use of sources contents that remain rather under exploited. In this paper we present an approach based on formal concept analysis to classify and search relevant bioinformatic data sources for a given user query. It consists in building the concept lattice from the binary relation between bioinformatic data sources and their associated metadata. The concept built from a given user query is then merged into the concept lattice. The result is given by the extraction of the set of sources belonging to the extents of the query concept subsumers in the resulting concept lattice. The sources ranking is given by the concept specificity order in the concept lattice. An improvement of the approach consists in automatic refinement of the query. Two forms of refinement are possible by generalisation and by specialisation. AU - Messai, N. AU - Devignes, M. D. AU - Napoli, A. AU - Smail-Tabbone, M. C3 - Conceptual Structures: Common Semantics for Sharing Knowledge. 13th International Conference on Conceptual Structures, ICCS 2005. Proceedings, 17-22 July 2005 DA - 2005 KW - biology computing data mining distributed databases information retrieval Internet medical information systems meta data ontologies (artificial intelligence) PB - Springer-Verlag PY - 2005 SP - 323-36 ST - Querying a bioinformatic data sources registry with concept lattices T3 - Conceptual Structures: Common Semantics for Sharing Knowledge. 13th International Conference on Conceptual Structures, ICCS 2005. Proceedings (Lecture Notes in Artificial Intelligence Vol.3596) TI - Querying a bioinformatic data sources registry with concept lattices ID - 1098 ER - TY - CONF AB - The common paradigm of searching and retrieving information on the Web is based on keyword-based search using one or more search engines, then browsing through the large number of returned URLs. This is significantly weaker than declarative querying that is supported by DBMSs. The lack of a schema and high volatility of the Web make "database-like" querying of Web data difficult. We report on our work in building a system, called WebQA, that provides a declarative query-based approach to Web data retrieval that uses question-answering technology in extracting information from Web sites that are retrieved by search engines. The approach consists of first using meta-search techniques in an open environment to gather candidate responses from search engines and other on-line databases, then using information extraction techniques to find the answer to a specific question from these candidates. A prototype system has been developed to test this approach. Testing includes evaluation of its performance as a question-answering system using a well-known evaluation system called TREC-9. Its accuracy using TREC-9 data for simple questions is high and its retrieval performance is good. The system employs an open system architecture allowing for on-going improvements. 2002 IEEE. AU - Lam, S. K. S. AU - Ozu, M. T. C3 - 3rd International Conference on Web Information Systems Engineering, WISE 2002, December 12, 2002 - December 14, 2002 DA - 2002 DO - 10.1109/WISE.2002.1181651 KW - artificial intelligence data mining Information analysis information retrieval Information systems query processing Search Engines Systems engineering World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2002 SP - 139-148 ST - Querying Web data - The WebQA approach T3 - WISE 2002 - Proceedings of the 3rd International Conference on Web Information Systems Engineering TI - Querying Web data - The WebQA approach UR - http://dx.doi.org/10.1109/WISE.2002.1181651 ID - 1176 ER - TY - CONF AB - It is widely recognized that OLTP and OLAP queries have different data access patterns, processing needs and requirements. Hence, the OLTP queries and OLAP queries are typically handled by two different systems, and the data are periodically extracted from the OLTP system, transformed and loaded into the OLAP system for data analysis. With the awareness of the ability of big data in providing enterprises useful insights from vast amounts of data, effective and timely decisions derived from real-time analytics are important. It is therefore desirable to provide real-time OLAP querying support, where OLAP queries read the latest data while OLTP queries create the new versions. In this paper, we propose R-Store, a scalable distributed system for supporting real-time OLAP by extending the MapReduce framework. We extend an open source distributed key/value system, HBase, as the underlying storage system that stores data cube and real-time data. When real-time data are updated, they are streamed to a streaming MapReduce, namely Hstreaming, for updating the cube on incremental basis. Based on the metadata stored in the storage system, either the data cube or OLTP database or both are used by the MapReduce jobs for OLAP queries. We propose techniques to efficiently scan the real-time data in the storage system, and design an adaptive algorithm to process the real-time query based on our proposed cost model. The main objectives are to ensure the freshness of answers and low processing latency. The experiments conducted on the TPC-H data set demonstrate the effectiveness and efficiency of our approach. AU - Feng, Li AU - Ozsu, M. T. AU - Gang, Chen AU - Beng Chin, Ooi C3 - 2014 IEEE 30th International Conference on Data Engineering (ICDE), 31 March-4 April 2014 DA - 2014 DO - 10.1109/ICDE.2014.6816638 KW - Big data data analysis data mining distributed processing meta data public domain software query processing storage management PB - IEEE PY - 2014 SP - 40-51 ST - R-Store: a scalable distributed system for supporting real-time analytics T3 - 2014 IEEE 30th International Conference on Data Engineering TI - R-Store: a scalable distributed system for supporting real-time analytics UR - http://dx.doi.org/10.1109/ICDE.2014.6816638 ID - 1186 ER - TY - JOUR AB - Radon is a radioactive gas that emanates from uranium-bearing soil and porous rock. Although radon is most highly concentrated in areas of high uranium concentration, the presence of trace amounts of uranium in most ground sources means that all humans are exposed to radon to some degree. Radon migrates out of soil and rock into the surrounding air, resulting in accumulation in poorly ventilated or closed areas. Such areas represent the primary environments in which humans are exposed to radioactivity from radon to experience detrimental health effects. There is no convincing evidence that any cancers other than lung cancer are associated with exposure to radon. There is, on the other hand, consistent evidence of a substantially elevated risk of lung cancer among Canadians exposed to radon in certain occupational settings, particularly uranium mining. While the combined evidence for a positive association between residential radon exposure and lung cancer is less compelling, the inherent methodological difficulties in mounting such studies may render it impossible for any single study to detect the relationship more conclusively. The best available evidence to date from pooled analyses indicates a positive, but weak association between residential radon and lung cancer risk. Residential radon is of critical importance because it is ubiquitous; a small excess risk that may exist in relation to radon exposures encountered in a residential setting translates into the potential for a far greater number of excess cancers in the general population than does exposure of a relatively small number of miners, even though the latter may be exposed to much higher levels of ionizing radiation. Fortunately, a number of techniques are available to homeowners to reduce radon concentrations in their homes. AU - Bissett, Randall J. AU - McLaughlin, John R. DA - 2010 J2 - Chronic Dis Can KW - Air Pollutants, Radioactive/*adverse effects Air Pollution, Indoor/adverse effects Canada/epidemiology Carcinogens, Environmental/*adverse effects Dose-Response Relationship, Radiation Housing Humans Lung Neoplasms/epidemiology/*etiology Meta-Analysis as Topic mining Neoplasms, Radiation-Induced/*epidemiology Occupational Exposure/adverse effects Radon/*adverse effects/pharmacology LA - eng PY - 2010 SN - 1481-8523 0228-8699 SP - 38-50 ST - Radon T2 - Chronic diseases in Canada TI - Radon VL - 29 Suppl 1 ID - 132 ER - TY - JOUR AB - An association between an excess risk of lung cancer and exposure to radon and its daughters has been demonstrated in uranium miners and in other miners. In various countries, radon measurements in dwellings showed that indoor radon concentrations are in the same range as in underground mines. Geographical epidemiological studies do not show an excess risk of lung cancer in people living in radon rich areas and case-control studies of domestic exposures lead to conflicting results. A joint study allowing meta-analysis of the results from 19 epidemiological studies carried out throughout the world should provide reliable data by and after 1995. Experimental data and biological data from radon-induced human tumours might allow the identification of tumours induced by irradiation compared with tumours induced by other agents. Until now, the role of domestic exposure in the occurrence of lung cancer remains unclear and therefore the usefulness of remedial actions questionable. AU - Monchaux, G. AU - Masse, R. DA - 1994 IS - 1-4 PY - 1994 SN - 0144-8420 SP - 81-88 ST - RADON - OCCUPATIONAL OR DOMESTIC CARCINOGEN T2 - Radiation Protection Dosimetry TI - RADON - OCCUPATIONAL OR DOMESTIC CARCINOGEN VL - 56 ID - 1958 ER - TY - CONF AB - An important achievement of nuclear track detectors is that they render it possible to measure a large number of radon concentrations. These are necessary for epidemiological studies aimed to estimate the lung cancer risk due to exposure to radon and its decay products in dwellings. Many case-control studies were conducted in the last 15 years in Europe, North America and China, in order to avoid the uncertainties associated with the risk extrapolation from epidemiological studies on miners exposed in underground mines. In this review paper, the main methodological issues of these studies are introduced: confounding factors, the impact of radon exposure uncertainties on the estimated risk, the retrospective assessment of radon exposure through the measurement of Po210 surface concentration on glass objects, the interaction between radon and smoking, statistical methods to analyze data and combine studies, etc. As regards the estimated risk of lung cancer, the main characteristics and results of each study are reported and discussed, together with the results of meta-analyses and, most importantly, of the three recently published analyses that pool 2 Chinese, 7 North American, and 13 European studies. Finally, some conclusions are given and a brief reference is made to ongoing studies. 2005 Elsevier Ltd. All rights reserved. AU - Bochicchio, F. C3 - Proceedings of the 22nd International Conference on Nuclear Tracks in Soils, August 23, 2004 - August 27, 2004 DA - 2005 DO - 10.1016/j.radmeas.2005.04.027 KW - epidemiology Glass Radiation detectors Radon Statistical methods Tumors L1 - internal-pdf://4005446152/Bochicchio-2005-Radon epidemiology and nuclear.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Elsevier Ltd PY - 2005 SN - 13504487 SP - 177-190 ST - Radon epidemiology and nuclear track detectors: Methods, results and perspectives T3 - Radiation Measurements TI - Radon epidemiology and nuclear track detectors: Methods, results and perspectives UR - http://dx.doi.org/10.1016/j.radmeas.2005.04.027 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1350448705001824/1-s2.0-S1350448705001824-main.pdf?_tid=9195f38c-832e-11e6-9a59-00000aab0f27&acdnat=1474814851_31ed959e378066bec5bd483b5e6e0cf9 VL - 40 ID - 568 ER - TY - CONF AB - An association between an excess risk of lung cancer and exposure to radon and its daughters has been demonstrated in uranium miners and in other miners. In various countries,radon measurements in dwellings showed that indoor radon concentrations are in the same range as in underground mines. Geographical epidemiological studies do not show an excess risk of lung cancer in people living in radon rich areas and case-control studies of domestic exposures lead to conflicting results. A joint study allowing meta-analysis of the results from 19 epidemiological studies carried out throughout the world should provide reliable data by and after 1995. Experimental data and biological data from radon-induced human tumours might allow the identification of tumours induced by irradiation compared with rumours induced by other agents. Until now, the role of domestic exposure in the occurrence of lung cancer remains unclear and therefore the usefulness of remedial actions questionable. AU - Monchaux, G. AU - Masse, R. C3 - Indoor Radon Remedial Action. The Scientific Basis and the Practical Implications. First International Workshop, 27 June-2 July 1993 DA - 1994 KW - biological effects of ionising radiation lung mining natural radioactivity hazards radioisotopes Radon PY - 1994 SN - 0144-8420 SP - 81-8 ST - Radon: occupational or domestic carcinogen? T2 - Radiation Protection Dosimetry T3 - Radiat. Prot. Dosim. (UK) TI - Radon: occupational or domestic carcinogen? VL - 56 ID - 1480 ER - TY - CONF AB - Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. The growing size of these folksonomies poses new challenges in terms of search and data mining. In this paper we introduce a novel methodology for automatically ranking and classifying photos according to their attractiveness for folksonomy members. To this end, we exploit image features known for having significant effects on the visual quality perceived by humans (e.g. sharpness and colorfulness) as well as textual meta data, in what is a multi-modal approach. Using feedback and annotations available in the Web 2.0 photo sharing system Flickr, we assign relevance values to the photos and train classification and regression models based on these relevance assignments. With the resulting machine learning models we categorize and rank photos according to their attractiveness. Applications include enhanced ranking functions for search and recommender methods for attractive content. Large scale experiments on a collection of Flickr photos demonstrate the viability of our approach. Copyright is held by the International World Wide Web Conference Committee (IW3C2). AU - Pedro, Jose San AU - Siersdorfer, Stefan C3 - 18th International World Wide Web Conference, WWW 2009, April 20, 2009 - April 24, 2009 DA - 2009 DO - 10.1145/1526709.1526813 KW - Classification (of information) Image analysis Regression Analysis Semantic Web Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2009 SP - 771-780 ST - Ranking and classifying attractiveness of photos in folksonomies T3 - WWW'09 - Proceedings of the 18th International World Wide Web Conference TI - Ranking and classifying attractiveness of photos in folksonomies UR - http://dx.doi.org/10.1145/1526709.1526813 ID - 849 ER - TY - JOUR AB - We present a meta-learning method to support selection of candidate learning algorithms. It uses a k-nearest neighbor algorithm to identify the datasets that are most similar to the one at hand. The distance between datasets is assessed using a relatively small set of data characteristics, which was selected to represent properties that affect algorithm performance. The performance of the candidate algorithms on those datasets is used to generate a recommendation to the user in the form of a ranking. The performance is assessed using a multicriteria evaluation measure that takes not only accuracy, but also time into account. As it is not common in machine learning to work with rankings, we had to identify and adapt existing statistical techniques to devise an appropriate evaluation methodology. Using that methodology, we show that the meta-learning method presented leads to significantly better rankings than the baseline ranking method. The evaluation methodology is general and can be adapted to other ranking problems. Although here we have concentrated on ranking classification algorithms, the meta-learning framework presented can provide assistance in the selection of combinations of methods or more complex problem solving strategies. AU - Brazdil, P. B. AU - Soares, C. AU - Da Costa, J. P. DA - 2003/03// DO - 10.1023/A:1021713901879 IS - 3 J2 - Machine Learning KW - data envelopment analysis data mining learning (artificial intelligence) L1 - internal-pdf://3456866951/Brazdil-2003-Ranking learning algorithms_ usin.pdf PY - 2003 SN - 0885-6125 SP - 251-77 ST - Ranking learning algorithms: using IBL and meta-learning on accuracy and time results T2 - Machine Learning TI - Ranking learning algorithms: using IBL and meta-learning on accuracy and time results UR - http://dx.doi.org/10.1023/A:1021713901879 VL - 50 ID - 1630 ER - TY - JOUR AB - The research in microbial communities would potentially impact a vast number of applications in "bio"-related disciplines. Large-scale analyses became a clear trend in microbial community studies, thus it is increasingly important to perform efficient and in-depth data mining for insightful biological principles from large number of samples. However, as microbial communities are from different sources and of different structures, comparison and data-mining from large number of samples become quite difficult. In this work, we have proposed a data model to represent large-scale comparison of microbial community samples, namely the "Multi-Dimensional View" data model (the MDV model) that should at least include 3 aspects: samples profile (S), taxa profile (T) and meta-data profile (V). We have also proposed a method for rapid data analysis based on the MDV model and applied it on the case studies with samples from various environmental conditions. Results have shown that though sampling environments usually define key variables, the analysis could detect bio-makers and even subtle variables based on large number of samples, which might be used to discover novel principles that drive the development of communities. The efficiency and effectiveness of data analysis method based on the MDV model have been validated by the results. AU - Su, Xiaoquan AU - Hu, Jianqiang AU - Huang, Shi AU - Ning, Kang DA - 2014/09/17/ DO - 10.1038/srep06393 PY - 2014 SN - 2045-2322 SP - 6393 ST - Rapid comparison and correlation analysis among massive number of microbial community samples based on MDV data model T2 - Scientific Reports TI - Rapid comparison and correlation analysis among massive number of microbial community samples based on MDV data model VL - 4 ID - 2103 ER - TY - CHAP AB - Background Background In settings where both Plasmodium vivax and Plasmodium falciparum infection cause malaria, rapid diagnostic tests (RDTs) need to distinguish which species is causing the patients' symptoms, as different treatments are required. Older RDTs incorporated two test lines to distinguish malaria due to P. falciparum, from malaria due to any other Plasmodium species (non-falciparum). These RDTs can be classified according to which antibodies they use: Type 2 RDTs use HRP-2 (for P. falciparum) and aldolase (all species); Type 3 RDTs use HRP-2 (for P. falciparum) and pLDH (all species); Type 4 use pLDH (fromP. falciparum) and pLDH (all species). More recently, RDTs have been developed to distinguish P. vivax parasitaemia by utilizing a pLDH antibody specific to P. vivax. Objectives Objectives To assess the diagnostic accuracy of RDTs for detecting non-falciparum or P. vivax parasitaemia in people living in malaria-endemic areas who present to ambulatory healthcare facilities with symptoms suggestive of malaria, and to identify which types and brands of commercial test best detect non-falciparum and P. vivax malaria. Search methods Search methods We undertook a comprehensive search of the following databases up to 31 December 2013: Cochrane Infectious Diseases Group Specialized Register; MEDLINE; EMBASE; MEDION; Science Citation Index; Web of Knowledge; African Index Medicus; LILACS; and IndMED. Selection criteria Selection criteria Studies comparing RDTs with a reference standard (microscopy or polymerase chain reaction) in blood samples from a random or consecutive series of patients attending ambulatory health facilities with symptoms suggestive of malaria in non-falciparum endemic areas. Data collection and analysis Data collection and analysis For each study, two review authors independently extracted a standard set of data using a tailored data extraction form. We grouped comparisons by type of RDT (defined by the combinations of antibodies used), and combined in meta-analysis where appropriate. Average sensitivities and specificities are presented alongside 95% confidence intervals (95% CI). Main results Main results We included 47 studies enrolling 22,862 participants. Patient characteristics, sampling methods and reference standard methods were poorly reported in most studies. RDTs detecting 'non-falciparum' parasitaemia Eleven studies evaluated Type 2 tests compared with microscopy, 25 evaluated Type 3 tests, and 11 evaluated Type 4 tests. In meta-analyses, average sensitivities and specificities were 78% (95% CI 73% to 82%) and 99% (95% CI 97% to 99%) for Type 2 tests, 78% (95% CI 69% to 84%) and 99% (95% CI 98% to 99%) for Type 3 tests, and 89% (95% CI 79% to 95%) and 98% (95% CI 97% to 99%) for Type 4 tests, respectively. Type 4 tests were more sensitive than both Type 2 (P = 0.01) and Type 3 tests (P = 0.03). Five studies compared Type 3 tests with PCR; in meta-analysis, the average sensitivity and specificity were 81% (95% CI 72% to 88%) and 99% (95% CI 97% to 99%) respectively. RDTs detecting P.vivax parasitaemia Eight studies compared pLDH tests to microscopy; the average sensitivity and specificity were 95% (95% CI 86% to 99%) and 99% (95% CI 99% to 100%), respectively. Authors' conclusions Authors' conclusions RDTs designed to detect P. vivax specifically, whether alone or as part of a mixed infection, appear to be more accurate than older tests designed to distinguish P. falciparum malaria from non-falciparum malaria. Compared to microscopy, these tests fail to detect around 5% ofP. vivax cases. This Cochrane Review, in combination with other published information about in vitro test performance and stability in the field, can assist policy-makers to choose between the available RDTs. AU - Abba, Katharine AU - Kirkham, Amanda J. AU - Olliaro, Piero L. AU - Deeks, Jonathan J. AU - Donegan, Sarah AU - Garner, Paul AU - Takwoingi, Yemisi DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD011431/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2014 ST - Rapid diagnostic tests for diagnosing uncomplicated non-falciparum or Plasmodium vivax malaria in endemic countries T2 - Cochrane Database of Systematic Reviews TI - Rapid diagnostic tests for diagnosing uncomplicated non-falciparum or Plasmodium vivax malaria in endemic countries UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD011431/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD011431/full Y2 - 2016/09/18/20:15:38 ID - 419 ER - TY - CONF AB - As the amount of available RDF data continues to increase steadily, there is growing interest in developing efficient methods for analyzing such data. While recent efforts have focused on developing efficient methods for traditional data processing, analytical processing which typically involves more complex queries has received much less attention. The use of cost effective parallelization techniques such as Google's Map-Reduce offer significant promise for achieving Web scale analytics. However, currently available implementations are designed for simple data processing on structured data. In this paper, we present a language, RAPID, for scalable ad-hoc analytical processing of RDF data on Map-Reduce frameworks. It builds on Yahoo's Pig Latin by introducing primitives based on a specialized join operator, the MD-join, for expressing analytical tasks in a manner that is more amenable to parallel processing, as well as primitives for coping with semi-structured nature of RDF data. Experimental evaluation results demonstrate significant performance improvements for analytical processing of RDF data over existing Map-Reduce based techniques. AU - Sridhar, R. AU - Ravindra, P. AU - Anyanwu, K. C3 - Semantic Web - ISWC 2009. 8th International Semantic Web Conference, ISWC 2009, 25-29 Oct. 2009 DA - 2009 DO - 10.1007/978-3-642-04930-9_45 KW - data analysis data mining data models knowledge representation languages meta data parallel languages Semantic Web PB - Springer Verlag PY - 2009 SP - 715-30 ST - RAPID: enabling scalable ad-hoc analytics on the semantic Web T3 - Semantic Web - ISWC 2009. Proceedings 8th International Semantic Web Conference, ISWC 2009 TI - RAPID: enabling scalable ad-hoc analytics on the semantic Web UR - http://dx.doi.org/10.1007/978-3-642-04930-9_45 ID - 955 ER - TY - CONF AB - Rare class problems exist extensively in real-world applications across a wide range of domains. The extreme scarcity of the target class challenges traditional machine learning algorithms focusing on the overall classification accuracy. As a result, purposefully designed techniques are required for effectively solving the rare class mining problem. This paper presents a systematic review of the major representative approaches to rare class mining and related topics and gives a summary of the important research directions. 2009 IEEE. AU - Han, Shuli AU - Yuan, Bo AU - Liu, Wenhuang C3 - 2009 Chinese Conference on Pattern Recognition, CCPR 2009 and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR, November 4, 2009 - November 6, 2009 DA - 2009 DO - 10.1109/CCPR.2009.5344137 KW - Learning algorithms Pattern recognition N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2009 SP - 137-141 ST - Rare class mining: Progress and prospect T3 - Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR TI - Rare class mining: Progress and prospect UR - http://dx.doi.org/10.1109/CCPR.2009.5344137 ID - 1064 ER - TY - CHAP A2 - Rocha, M. P. A2 - Riverola, F. F. A2 - Shatkay, H. A2 - Corchado, J. M. AB - In a fast evolving field like molecular biology, which produces great amounts of data at an ever increasing pace, it becomes fundamental the development of analysis applications that can keep up with that pace. The Rbbt development framework intends to support the development of complex functionality with strong data processing dependencies, as reusable components, and serving them through a simple and consistent API. This way, the framework promotes reuse and accessibility, and complements other solutions like classic APIs and function libraries or web services. The Rbbt framework currently provides a wide range of functionality from text mining to microarray meta-analysis. AU - Vazquez, Miguel AU - Nogales, Ruben AU - Carmona, Pedro AU - Pascual, Alberto AU - Pavon, Juan PY - 2010 SN - 978-3-642-13213-1 SP - 201-208 ST - Rbbt: A Framework for Fast Bioinformatics Development with Ruby T2 - Advances in Bioinformatics TI - Rbbt: A Framework for Fast Bioinformatics Development with Ruby VL - 74 ID - 1947 ER - TY - JOUR ST - Reading PDF files into R for text mining | University of Virginia Library Research Data Services + Sciences TI - Reading PDF files into R for text mining | University of Virginia Library Research Data Services + Sciences UR - http://data.library.virginia.edu/reading-pdf-files-into-r-for-text-mining/ Y2 - 2016/09/24/21:06:13 ID - 2531 ER - TY - CHAP AB - In this paper we analyze and present an important aspect of Twitter platform concerning the Influence of a user. Building on existing work regarding influential users, we propose different Influence Metrics that take into account Twitter analytics as well as the behavior of each User's Followers. Twitter enables users so as to read and send short 140-character messages called "tweets" while helps them understand what is happening in the world. Exceeding 241 million active users, 500 million Tweets and 2.1 billion searches per day, every user and particularly online marketers have an actively informed audience to engage with. The flow of information has been implicitly filtered and annotated with meta-information such as reputation and influence. Social Influence can be described as the power or even the ability of a person to yet influence the thoughts and actions of other users. So, User Influence stands as a value that depends on the interest of the Followers (via Replies, Mentions, Retweets, Favorites). Additionally we look into the potential quantity of Influence these specific Followers have. AU - Zamparas, Velissarios AU - Kanavos, Andreas AU - Makris, Christos PY - 2015 SN - 978-1-5090-0163-7 SP - 591-597 ST - Real Time Analytics for Measuring User Influence on Twitter T2 - 2015 Ieee 27th International Conference on Tools with Artificial Intelligence (ictai 2015) TI - Real Time Analytics for Measuring User Influence on Twitter ID - 2207 ER - TY - CONF AB - High-level Video content analysis such as video-surveillance is often limited by computational aspects of automatic image understanding, i.e. it requires huge computing resources for reasoning processes like categorization and huge amount of data to represent knowledge of objects, scenarios and other models. This article explains how to design and develop a "near real-time adaptive image datamart", used, as a decisional support system for vision algorithms, and then as a mass storage system. Using RDF specification as storing format of vision algorithms meta-data, we can optimise the data warehouse concepts for video analysis, add some processes able to adapt the current model and pre-process data to speed-up queries. In this way, when new data is sent from a sensor to the data warehouse for long term storage, using remote procedure call embedded in object-oriented interfaces to simplified queries, they are processed and in memory data-model is updated. After some processing, possible interpretations of this data can be returned back to the sensor. To demonstrate this new approach, we will present typical scenarios applied to this architecture such as people tracking and events detection in a multi-camera network. Finally we will show how this system becomes a high-semantic data container for external data-mining. 2006 SPIE-IST. AU - Lienard, Bruno AU - Desurmont, Xavier AU - Barrie, Bertrand AU - Delaigle, Jean-Francois C3 - Real-Time Image Processing 2006, January 16, 2006 - January 17, 2006 DA - 2006 DO - 10.1117/12.642942 KW - Algorithms Computation theory Computer architecture Computer vision Data warehouses Image processing Real time systems Video signal processing L1 - internal-pdf://3111447839/Lienard-2006-Real-time high-level video unders.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SPIE PY - 2006 SN - 0277786X SP - Society-for Imaging Science and Technology, IS and T; SPIE ST - Real-time high-level video understanding using data warehouse T3 - Proceedings of SPIE - The International Society for Optical Engineering TI - Real-time high-level video understanding using data warehouse UR - http://dx.doi.org/10.1117/12.642942 http://proceedings.spiedigitallibrary.org.ezproxy.lib.vt.edu/data/Conferences/SPIEP/2040/606305_1.pdf VL - 6063 ID - 625 ER - TY - JOUR AB - BACKGROUND: The automated extraction of gene and/or protein interactions from the literature is one of the most important targets of biomedical text mining research. In this paper we present a realistic evaluation of gene/protein interaction mining relevant to potential non-specialist users. Hence we have specifically avoided methods that are complex to install or require reimplementation, and we coupled our chosen extraction methods with a state-of-the-art biomedical named entity tagger. RESULTS: Our results show: that performance across different evaluation corpora is extremely variable; that the use of tagged (as opposed to gold standard) gene and protein names has a significant impact on performance, with a drop in F-score of over 20 percentage points being commonplace; and that a simple keyword-based benchmark algorithm when coupled with a named entity tagger outperforms two of the tools most widely used to extract gene/protein interactions. CONCLUSION: In terms of availability, ease of use and performance, the potential non-specialist user community interested in automatically extracting gene and/or protein interactions from free text is poorly served by current tools and systems. The public release of extraction tools that are easy to install and use, and that achieve state-of-art levels of performance should be treated as a high priority by the biomedical text mining community. AU - Kabiljo, Renata AU - Clegg, Andrew B. AU - Shepherd, Adrian J. DA - 2009 DO - 10.1186/1471-2105-10-233 DP - PubMed J2 - BMC Bioinformatics KW - Computational Biology Databases, Genetic Databases, Protein Genes Protein Interaction Mapping Proteins L1 - internal-pdf://0989230775/Kabiljo-2009-A realistic assessment of methods.pdf LA - eng PY - 2009 SN - 1471-2105 SP - 233 ST - A realistic assessment of methods for extracting gene/protein interactions from free text T2 - BMC bioinformatics TI - A realistic assessment of methods for extracting gene/protein interactions from free text UR - http://www.ncbi.nlm.nih.gov/pubmed/19635172 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2723093/pdf/1471-2105-10-233.pdf VL - 10 ID - 447 ER - TY - CONF AB - A robot vision system is presented which is capable of: (1) extracting 3-D information on objects through a laser range finder based on a synchronized laser scanner; (2) transforming the extracted information into attributed hypergraph representations (AHRs); (3) synthesizing several AHRs of various views of an object into a complete AHR of the object; and (4) recognising any view of an object through finding the graph monomorphism between the AHR of that view and the complete AHR of a prototype object. AU - Wong, A. K. C. AU - Lu, S. W. C3 - CVPR '85: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 19-23 June 1985 DA - 1985 KW - computerised pattern recognition Computer vision Graph theory PB - IEEE Comput. Soc. Press PY - 1985 SP - 162-6 ST - Recognition and knowledge synthesis of 3-D object images T3 - Proceedings CVPR '85: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No. 85CH2145-1) TI - Recognition and knowledge synthesis of 3-D object images ID - 839 ER - TY - CHAP A2 - Kinshuk A2 - Huang, R. AB - From e-commerce to e-learning, recommendation systems have given birth to an important and thriving research niche and have been deployed in a variety of application areas over the last decade. In particular, in the technology-enhanced learning (TEL) field, recommendation systems have attracted increasing interest, especially with the rise of educational data mining and big data learning analytics. Generally, TEL recommendation systems are used to support learners in locating relevant educational content according to their profiles. These systems may involve several phases, such as data acquisition and preparation, modeling, and recommendation computation, phases, which together, can describe a TEL recommendation system and distinguish it from others. However, such a description needs to be expanded and generalized in order to cover most of the TEL recommendation systems, especially, in the context of anywhere and anytime learning based on various Web-based learning environments, including Learning Object Repository (LOR), Open Courseware (OCW), Open Educational Resources (OER), Learning Management Systems (LMS), Massive Open Online Courses (MOOC), Educational Widgets, Educational Mobile applications, etc. In this chapter, we provide a generic meta-level framework for a common description of TEL recommendation systems. Then, we present an analysis of several existing TEL recommendation systems with respect to our defined framework. AU - Khribi, Mohamed Koutheair AU - Jemni, Mohamed AU - Nasraoui, Olfa PY - 2015 SN - 978-3-662-44659-1 978-3-662-44658-4 SP - 159-180 ST - Recommendation Systems for Personalized Technology-Enhanced Learning T2 - Ubiquitous Learning Environments and Technologies TI - Recommendation Systems for Personalized Technology-Enhanced Learning ID - 2156 ER - TY - JOUR AB - BACKGROUND: Understanding the topology and dynamics of the human protein-protein interaction (PPI) network will significantly contribute to biomedical research, therefore its systematic reconstruction is required. Several meta-databases integrate source PPI datasets, but the protein node sets of their networks vary depending on the PPI data combined. Due to this inherent heterogeneity, the way in which the human PPI network expands via multiple dataset integration has not been comprehensively analyzed. We aim at assembling the human interactome in a global structured way and exploring it to gain insights of biological relevance. RESULTS: First, we defined the UniProtKB manually reviewed human "complete" proteome as the reference protein-node set and then we mined five major source PPI datasets for direct PPIs exclusively between the reference proteins. We updated the protein and publication identifiers and normalized all PPIs to the UniProt identifier level. The reconstructed interactome covers approximately 60% of the human proteome and has a scale-free structure. No apparent differentiating gene functional classification characteristics were identified for the unrepresented proteins. The source dataset integration augments the network mainly in PPIs. Polyubiquitin emerged as the highest-degree node, but the inclusion of most of its identified PPIs may be reconsidered. The high number (>300) of connections of the subsequent fifteen proteins correlates well with their essential biological role. According to the power-law network structure, the unrepresented proteins should mainly have up to four connections with equally poorly-connected interactors. CONCLUSIONS: Reconstructing the human interactome based on the a priori definition of the protein nodes enabled us to identify the currently included part of the human "complete" proteome, and discuss the role of the proteins within the network topology with respect to their function. As the network expansion has to comply with the scale-free theory, we suggest that the core of the human interactome has essentially emerged. Thus, it could be employed in systems biology and biomedical research, despite the considerable number of currently unrepresented proteins. The latter are probably involved in specialized physiological conditions, justifying the scarcity of related PPI information, and their identification can assist in designing relevant functional experiments and targeted text mining algorithms. AU - Klapa, Maria I. AU - Tsafou, Kalliopi AU - Theodoridis, Evangelos AU - Tsakalidis, Athanasios AU - Moschonas, Nicholas K. DA - 2013 DO - 10.1186/1752-0509-7-96 J2 - BMC Syst Biol KW - Humans Polyubiquitin/metabolism Protein Interaction Mapping/*methods Proteome/metabolism L1 - internal-pdf://3157498459/Klapa-2013-Reconstruction of the experimentall.pdf LA - eng PY - 2013 SN - 1752-0509 1752-0509 SP - 96 ST - Reconstruction of the experimentally supported human protein interactome: what can we learn? T2 - BMC systems biology TI - Reconstruction of the experimentally supported human protein interactome: what can we learn? UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015887/pdf/1752-0509-7-96.pdf VL - 7 ID - 381 ER - TY - JOUR AB - This work addresses the problem of mining data streams generated in dynamic environments where the distribution underlying the observations may change over time. We present a system that monitors the evolution of the learning process. The system is able to self-diagnose degradations of this process, using change detection mechanisms, and self-repair the decision models. The system uses meta-learning techniques that characterize the domain of applicability of previously learned models. The meta-learner can detect recurrence of contexts, using unlabeled examples, and take pro-active actions by activating previously learned models. The experimental evaluation on three text mining problems demonstrates the main advantages of the proposed system: it provides information about the recurrence of concepts and rapidly adapts decision models when drift occurs. AU - Gama, J. AU - Kosina, P. DA - 2014/09// DO - 10.1007/s10115-013-0654-6 IS - 3 J2 - Knowledge and Information Systems KW - data mining learning (artificial intelligence) text analysis L1 - internal-pdf://1499150323/Gama-2014-Recurrent concepts in data streams c.pdf PY - 2014 SN - 0219-1377 SP - 489-507 ST - Recurrent concepts in data streams classification T2 - Knowledge and Information Systems TI - Recurrent concepts in data streams classification UR - http://dx.doi.org/10.1007/s10115-013-0654-6 VL - 40 ID - 1434 ER - TY - CONF AB - Granular computing represents an object as an information granule. Traditionally the information is derived from the primary source of data by recording events such as transactions, phone calls, user sessions, security breaches, and car trips. Much of the early data mining techniques used information granules generated from primary data sources. Recent data mining techniques such as ensemble classifiers and stacked regression use secondary sources of data obtained from initial data mining activities. Typically, these techniques use preliminary applications of data mining techniques for initial knowledge discovery. The knowledge acquired from the preliminary data mining is then used for more refined analysis. Granular computing can enable us to develop a formal framework for incorporating information from both primary and secondary sources of data. This enhanced granular representation can help us develop integrated data mining techniques. This paper proposes a novel recursive meta-clustering algorithm to demonstrate the versatility of granular computing for developing integrated data mining techniques to exploit primary and secondary knowledge sources. 2012 IEEE. AU - Lingras, Pawan AU - Rathinavel, Kishore C3 - 2012 12th International Conference on Intelligent Systems Design and Applications, ISDA 2012, November 27, 2012 - November 29, 2012 DA - 2012 DO - 10.1109/ISDA.2012.6416634 KW - Clustering algorithms data mining Granular computing Information granules Intelligent systems Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SN - 21647143 SP - 770-775 ST - Recursive meta-clustering in a granular network T3 - International Conference on Intelligent Systems Design and Applications, ISDA TI - Recursive meta-clustering in a granular network UR - http://dx.doi.org/10.1109/ISDA.2012.6416634 ID - 1721 ER - TY - JOUR AB - Urban mining has attracted increasing attention as a research topic, owing to the high growth rate, environmental issues, and market potential of waste generated in urban areas. Metal recovery from such waste has become increasingly important especially in accordance with the concept of metal criticality. This study develops a model by evaluating various types of urban waste in order to understand the criticality of these waste streams and determine their potential for metal recovery. Two factors, i.e. the resource index and technology index, are defined and assessed through a systematic review of data from the literature and industry. High values of the resource index indicate that the waste is important to the European Union (EU) economy and hence has significant potential for recycling as a resource. Furthermore, a high technology index indicates that the waste can be processed for metal recovery with less technology investment than that required for a waste that has a low technology index. However, a high environmental impact for the recovery of metals, indicates that processing of the waste is difficult and potentially has high impact on the environment. A case study of 11 waste streams from a local recycling company is performed, by using the correlation of these two indices. The results of the evaluation suggest that the information and communication technology (ICT) scrap and the rare-earth elements (REEs) containing end-of-life (EOL) products exhibit significant potential for metals recovery. The technical aspects governing the recovery of valuable metals from these two resources are further analysed and potential processing routes (flowsheets) can be suggested. Combined with both physical separation and metallurgical processing, the proposed evaluation methodology and the processing routes for targeted critical metals, are expected to contribute to the development of competitive recycling technologies. 2015 Elsevier Ltd. All rights reserved. AU - Sun, Zhi AU - Xiao, Yanping AU - Agterhuis, Hanneke AU - Sietsma, Jilt AU - Yang, Yongxiang DA - 2016 DO - 10.1016/j.jclepro.2015.10.116 J2 - Journal of Cleaner Production KW - Criticality (nuclear fission) data mining economics Environmental impact Metal recovery Metals Recovery Recycling Scrap metal reprocessing Urban growth N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 09596526 SP - 2977-2987 ST - Recycling of metals from urban mines - A strategic evaluation T2 - Journal of Cleaner Production TI - Recycling of metals from urban mines - A strategic evaluation UR - http://dx.doi.org/10.1016/j.jclepro.2015.10.116 VL - 112 ID - 942 ER - TY - JOUR AU - Dann, Stephen DA - 2010 DP - Google Scholar IS - 2 L1 - internal-pdf://0628966950/Dann-2010-Redefining social marketing with con.pdf PY - 2010 SP - 147-153 ST - Redefining social marketing with contemporary commercial marketing definitions T2 - Journal of Business Research TI - Redefining social marketing with contemporary commercial marketing definitions UR - http://www.sciencedirect.com/science/article/pii/S0148296309000319 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0148296309000319/1-s2.0-S0148296309000319-main.pdf?_tid=b85639b6-8331-11e6-83e3-00000aab0f27&acdnat=1474816205_579e66fce862a339ea828d95b6495cc0 VL - 63 Y2 - 2016/09/24/15:36:22 ID - 2344 ER - TY - JOUR AB - The World Wide Web presents significant opportunities for business intelligence analysis as it can provide information about a company's external environment and its stakeholders. Traditional business intelligence analysis on the Web has focused on simple keyword searching. Recently, it has been suggested that the incoming links, or backlinks, of a company's Web site (i.e., other Web pages that have a hyperlink pointing to the company of interest) can provide important insights about the company's "online communities." Although analysis of these communities can provide useful signals for a company and information about its stakeholder groups, the manual analysis process can be very time-consuming for business analysts and consultants. In this article, we present a tool called Redips that automatically integrates backlink meta-searching and text-mining techniques to facilitate users in performing such business intelligence analysis on the Web. The architectural design and implementation of the tool are presented in the article. To evaluate the effectiveness, efficiency, and user satisfaction of Redips, an experiment was conducted to compare the tool with two popular business intelligence analysis methods - using backlink search engines and manual browsing. The experiment results showed that Redips was statistically more effective than both benchmark methods (in terms of Recall and F-measure) but required more time in search tasks. In terms of user satisfaction, Redips scored statistically higher than backlink search engines in all five measures used, and also statistically higher than manual browsing in three measures. 2006 Wiley Periodicals, Inc. AU - Chau, Michael AU - Shiu, Boby AU - Chan, Ivy AU - Chen, Hsinchun DA - 2007 DO - 10.1002/asi.20503 IS - 3 J2 - Journal of the American Society for Information Science and Technology KW - data mining Intelligent agents Search Engines Statistical methods Telecommunication links Web browsers Web services Websites L1 - internal-pdf://0309198987/Chau-2007-Redips_ Backlink search and analysis.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2007 SN - 15322882 SP - 351-365 ST - Redips: Backlink search and analysis on the web for business intelligence analysis T2 - Journal of the American Society for Information Science and Technology TI - Redips: Backlink search and analysis on the web for business intelligence analysis UR - http://dx.doi.org/10.1002/asi.20503 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/asi.20503/asset/20503_ftp.pdf?v=1&t=itir0obb&s=d7203126e06308b009094441c63e895ada7fa126 VL - 58 ID - 1320 ER - TY - JOUR AB - Background Historically, working in iron-ore mines has been associated with an increased risk of lung cancer and silicosis. However, studies on other causes of mortality are inconsistent and in the case of cancer incidence, sparse. The aim of this study was to examine the association between iron-ore mining, mortality and cancer incidence. Methods A 54-year cohort study on iron-ore miners from mines in northern Sweden was carried out comprising 13,000 workers. Standardized rate ratios were calculated comparing the disease frequency, mortality, and cancer incidence with that of the general population of northern Sweden. Poisson regression was used to evaluate the association between the durations of employment and underground work, and outcome. Results Underground mining was associated with a significant decrease in adjusted mortality rate ratios for cerebrovascular and digestive system diseases, and stroke. For several outcomes, elevated standardized rate ratios were observed among blue-collar workers relative to the reference population. However, only the incidence of lung cancer increased with employment time underground (P<0.001). Conclusions Long-term iron-ore mining underground was associated with lower rates regarding several health outcomes. This is possibly explained by factors related to actual job activities, environmental exposure, or the selection of healthier workers for long-term underground employment. Am. J. Ind. Med. 56:531540, 2013. (c) 2013 Wiley Periodicals, Inc. AU - Bjor, Ove AU - Jonsson, Hakan AU - Damber, Lena AU - Wahlstrom, Jens AU - Nilsson, Tohr DA - 2013/05// DO - 10.1002/ajim.22168 IS - 5 L1 - internal-pdf://1307565984/Bjor-2013-Reduced mortality rates in a cohort.pdf PY - 2013 SN - 0271-3586 SP - 531-540 ST - Reduced mortality rates in a cohort of long-term underground iron-ore miners T2 - American Journal of Industrial Medicine TI - Reduced mortality rates in a cohort of long-term underground iron-ore miners UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/ajim.22168/asset/ajim22168.pdf?v=1&t=itiqh1az&s=960652937fa1ba8299a494d7ae6a10f06e9329da VL - 56 ID - 2161 ER - TY - BOOK A3 - Kantardzic, M. A2 - Nasraoui, O. A2 - Milanova, M. AB - Complexity or in other words compactness, of models generated by rule learners is one of often neglected issues, although it has a profound effect on the success of any project that utilizes the rules. Researchers strive to propose learners that are characterized by excellent accuracy, and sometimes also low computational complexity but the size of the data model generated by the learners is often not even reported. While the model size can be disregarded from the research point of view, it is very important from the end user's perspective. Quite often the generated model is too complex to be manually analyzed or inspected, which prohibits from using it in a real-world setting. To fill this gap, the paper proposes a novel framework, which is designed to address problem of complexity, reduction of rule based models. The framework is based on a Meta Mining concept, and can be applied to enhance several of existing rule learners. Its main goal is to reduce complexity in terms of reducing size and number of generated rules, without sacrificing accuracy of the rules. The paper proposes the framework, and tests it 077 a set of benchmark datasets using two well known rule learners: C5.0 and DataSqueezer. The results are encouraging, and show that 50% complexity reduction can be achieved virtually without any loss of accuracy. AU - Kurgan, L. A. DA - 2004 PY - 2004 SN - 0-7803-8823-2 ST - Reducing complexity of rule based models via meta mining TI - Reducing complexity of rule based models via meta mining ID - 2012 ER - TY - JOUR AB - In systematic reviews, the growing number of published studies imposes a significant screening workload on reviewers. Active learning is a promising approach to reduce the workload by automating some of the screening decisions, but it has been evaluated for a limited number of disciplines. The suitability of applying active learning to complex topics in disciplines such as social science has not been studied, and the selection of useful criteria and enhancements to address the data imbalance problem in systematic reviews remains an open problem. We applied active learning with two criteria (certainty and uncertainty) and several enhancements in both clinical medicine and social science (specifically, public health) areas, and compared the results in both. The results show that the certainty criterion is useful for finding relevant documents, and weighting positive instances is promising to overcome the data imbalance problem in both data sets. Latent dirichlet allocation (LDA) is also shown to be promising when little manually-assigned information is available. Active learning is effective in complex topics, although its efficiency is limited due to the difficulties in text classification. The most promising criterion and weighting method are the same regardless of the review topic, and unsupervised techniques like LDA have a possibility to boost the performance of active learning without manual annotation. 2014 The Authors. AU - Miwa, Makoto AU - Thomas, James AU - O'Mara-Eves, Alison AU - Ananiadou, Sophia DA - 2014 DO - 10.1016/j.jbi.2014.06.005 J2 - Journal of Biomedical Informatics KW - artificial intelligence Behavioral research Classification (of information) data mining Diagnosis Social sciences Statistics Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 15320464 SP - 242-253 ST - Reducing systematic review workload through certainty-based screening T2 - Journal of Biomedical Informatics TI - Reducing systematic review workload through certainty-based screening UR - http://dx.doi.org/10.1016/j.jbi.2014.06.005 VL - 51 ID - 1486 ER - TY - JOUR AB - The public health and economic significance of malaria is enormous, and its control remains a great challenge. Many established malaria control methods are hampered by drug resistance and insecticide-resistant vectors. Malaria control measures built around environmental management are non-toxic, cost-effective, and sustainable. However, there has been no comprehensive review of the literature or meta-analysis examining the effect of these interventions. We therefore did a systematic literature review and identified 40 studies that emphasised environmental management interventions and reported clinical malaria variables as outcome measures. Of these 40 studies, environmental modification (measures aiming to create a permanent or long-lasting effect on land, water, or vegetation to reduce vector habitats--eg, the installation and maintenance of drains) was the central feature in 27 studies, environmental manipulation (methods creating temporary unfavourable conditions for the vector--eg, water or vegetation management) in four, and nine quantified the effect of modifications of human habitation. Most of the studies (n=34, 85%) were implemented before the Global Malaria Eradication Campaign (1955-69), which mainly relied on indoor residual spraying with dichlorodiphenyltrichloroethane (DDT). In 16 studies that applied environmental modification and in eight studies on modification of human habitation, the risk ratio of malaria was reduced by 88.0% (95% CI 81.7-92.1) and 79.5% (95% CI 67.4-87.2), respectively. We conclude that malaria control programmes that emphasise environmental management are highly effective in reducing morbidity and mortality. Lessons learned from these past successful programmes can inspire sound and sustainable malaria control approaches and strategies. AU - Keiser, Jennifer AU - Singer, Burton H. AU - Utzinger, Jürg DA - 2005 DP - Google Scholar IS - 11 L1 - http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.459.9213&rep=rep1&type=pdf PY - 2005 SP - 695-708 ST - Reducing the burden of malaria in different eco-epidemiological settings with environmental management T2 - The Lancet infectious diseases TI - Reducing the burden of malaria in different eco-epidemiological settings with environmental management: a systematic review UR - http://www.sciencedirect.com/science/article/pii/S1473309905702681 https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.thelancet.com%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLHj3ZzqSv9HPw%253D%253D%26MAID%3DctGs1El0IEKNjr88ObZndA%253D%253D%26JSESSIONID%3Daaaz4WzxeDeE06Q9wtvDv%26ORIGIN%3D147596038%26RD%3DRD&acw=&utt= VL - 5 Y2 - 2016/09/24/15:39:54 ID - 2384 ER - TY - CONF AB - In grammar-based testing, context-free grammars may be used to generate relevant test inputs for language processors, or meta programs, such as programming language compilers, refactoring tools, and implementations of software quality metrics. This technique can be used to test these meta programs, but the amount of sentences, and syntax trees thereof, which needs to be generated to obtain reasonable coverage of the input language is exponential.Pattern matching is a programming language feature used often when writing meta programs. Pattern matching helps because it automates the frequently occurring task of detecting shapes in, and extracting information from syntax trees. However, meta programs which contain many patterns are difficult to test using only randomly generated sentences from grammar rules. The reason is that statistically it is uncommon to directly generate sentences which accidentally match the patterns in the code.To solve this problem, in this paper we extract information from the patterns in the code of meta programs to guide the sentence generation process. We introduce a new coverage criterion, called Pattern Coverage, which focuses on providing a test strategy to reduce the amount of test necessary cases, while covering the relevant parts of the meta program. An initial experimental evaluation is presented and the result is compared with traditional grammar-based testing. AU - Hentz, C. AU - Vinju, J. J. AU - Moreira, A. M. C3 - Testing Software and Systems. 27th IFIP WG 6.1 International Conference, ICTSS 2015, 23-25 Nov. 2015 DA - 2015 DO - 10.1007/978-3-319-25945-1_5 KW - context-free grammars Pattern matching program testing software metrics software quality statistical analysis PB - Springer International Publishing PY - 2015 SP - 71-85 ST - Reducing the Cost of Grammar-Based Testing using Pattern Coverage T3 - Testing Software and Systems. 27th IFIP WG 6.1 International Conference, ICTSS 2015. Proceedings: LNCS 9447 TI - Reducing the Cost of Grammar-Based Testing using Pattern Coverage UR - http://dx.doi.org/10.1007/978-3-319-25945-1_5 ID - 856 ER - TY - JOUR AB - Objective: To determine whether automated classification of document citations can be useful in reducing the time spent by experts reviewing journal articles for inclusion in updating systematic reviews of drug class efficacy for treatment of disease. Design: A test collection was built using the annotated reference files from 15 systematic drug class reviews. A voting perceptron-based automated citation classification system was constructed to classify each article as containing highquality, drug class–specific evidence or not. Cross-validation experiments were performed to evaluate performance. Measurements: Precision, recall, and F-measure were evaluated at a range of sample weightings. Work saved over sampling at 95% recall was used as the measure of value to the review process. Results: A reduction in the number of articles needing manual review was found for 11 of the 15 drug review topics studied. For three of the topics, the reduction was 50% or greater. Conclusion: Automated document citation classification could be a useful tool in maintaining systematic reviews of the efficacy of drug therapy. Further work is needed to refine the classification system and determine the best manner to integrate the system into the production of systematic reviews. AU - Cohen, Aaron M. AU - Hersh, William R. AU - Peterson, K. AU - Yen, Po-Yin DA - 2006 DP - Google Scholar IS - 2 L1 - https://www.researchgate.net/profile/Po_Yin_Yen/publication/7413557_Reducing_Workload_in_Systematic_Review_Preparation_Using_Automated_Citation_Classification/links/54ac331e0cf23c69a2b778b2.pdf internal-pdf://3139294211/Cohen-2006-Reducing workload in systematic rev.pdf PY - 2006 SP - 206-219 ST - Reducing workload in systematic review preparation using automated citation classification T2 - Journal of the American Medical Informatics Association TI - Reducing workload in systematic review preparation using automated citation classification UR - http://jamia.oxfordjournals.org/content/13/2/206.short https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1447545/pdf/206.pdf VL - 13 Y2 - 2016/09/24/15:32:42 ID - 2315 ER - TY - CONF AB - Business processes are nowadays recognized as one of the intangible business assets that provide more competitive advantage to organizations. Organizations must therefore be able to manage their business process models and deal with their quality problems, i.e. lack of understandability, maintainability or reusability among others. Such quality problems are exacerbated in business processes models that were mined by reverse engineering from enterprise information systems, since business process are more likely to undergo inconsistencies, redundancies, etc. Refactoring has proved to be a suitable solution to cope with these quality problems. Refactoring changes the internal structure of a business process model while preserves its external behaviour. This paper presents an in-depth systematic review for collecting, categorizing and analyzing all the refactoring methods and techniques applied to business process models. The systematic review is conducted following the formal methodology proposed by Kitchenhan. The review reports 206 related studies, from which 16 were considered as primary studies. The most valuable conclusion is that none of these studies proposes refactoring techniques for business process models previously obtained by reverse engineering, which is considered as a greenfield research area. AU - Fernandez-Ropero, Maria AU - Perez-Castillo, Ricardo AU - Piattini, Mario C3 - 7th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2012, June 29, 2012 - June 30, 2012 DA - 2012 KW - Competition Information systems Mathematical models Quality Control Reusability Reverse engineering software engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SciTePress PY - 2012 SP - 140-145 ST - Refactoring business process models: A systematic review T3 - ENASE 2012 - Proceedings of the 7th International Conference on Evaluation of Novel Approaches to Software Engineering TI - Refactoring business process models: A systematic review ID - 854 ER - TY - CONF AB - Business processes are nowadays recognized as one of the intangible business assets that provide more competitive advantage to organizations. Organizations must therefore be able to manage their business process models and deal with their quality problems, i.e. lack of understandability, maintainability or reusability among others. Such quality problems are exacerbated in business processes models that were mined by reverse engineering from enterprise information systems, since business process are more likely to undergo inconsistencies, redundancies, etc. Refactoring has proved to be a suitable solution to cope with these quality problems. Refactoring changes the internal structure of a business process model while preserves its external behaviour. This paper presents an in-depth systematic review for collecting, categorizing and analyzing all the refactoring methods and techniques applied to business process models. The systematic review is conducted following the formal methodology proposed by Kitchenhan. The review reports 206 related studies, from which 16 were considered as primary studies. The most valuable conclusion is that none of these studies proposes refactoring techniques for business process models previously obtained by reverse engineering, which is considered as a greenfield research area. AU - Fernandez-Ropero, M. AU - Perez-Castillo, R. AU - Piattini, M. C3 - 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2012), 29-30 June 2012 DA - 2012 KW - business data processing Information systems Reverse engineering software maintenance PB - INSTICC Press PY - 2012 SP - 140-5 ST - Refactoring Business Process Models: A Systematic Review T3 - Proceedings of the 7th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2012) TI - Refactoring Business Process Models: A Systematic Review ID - 891 ER - TY - JOUR AB - Metadata-based frameworks enable behavior adaptation through the configuration of custom metadata in application classes. Most of the current frameworks used in the industry for building enterprise applications adopt this approach. However, there is a lack of proven techniques for building such kind of framework, allowing for a better organization of its internal structure. In this paper we propose a pattern language and a reference architecture for better organizing the internal structure of metadata-based frameworks, which were defined as a result of a pattern mining process applied to a set of existing open source frameworks. To evaluate the resulting structure generated by the reference architecture application, a case study examined three frameworks developed according to the proposed reference architecture, each one referring to a distinct application domain. The assessment was conducted by using a metrics suite, metrics thresholds derived from a large set of open source metadata-based frameworks, a process for automatic detection of design disharmonies and manual source code analysis. As a result of this study, framework developers can understand and use the proposed reference architecture to develop new frameworks and refactor existing ones. The assessment revealed that the organization provided by the reference architecture is suitable for metadata-based frameworks, helping in the division of responsibility and functionality among their classes. [All rights reserved Elsevier]. AU - Guerra, E. AU - Alves, F. AU - Kulesza, U. AU - Fernandes, C. DA - 2013/05// DO - 10.1016/j.jss.2012.12.024 IS - 5 J2 - Journal of Systems and Software KW - data mining meta data program diagnostics public domain software software architecture source code (software) L1 - internal-pdf://1759007339/Guerra-2013-A reference architecture for organ.pdf PY - 2013 SN - 0164-1212 SP - 1239-56 ST - A reference architecture for organizing the internal structure of metadata-based frameworks T2 - Journal of Systems and Software TI - A reference architecture for organizing the internal structure of metadata-based frameworks UR - http://dx.doi.org/10.1016/j.jss.2012.12.024 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0164121212003366/1-s2.0-S0164121212003366-main.pdf?_tid=e5522ca4-8336-11e6-b0af-00000aacb361&acdnat=1474818428_0e0700a63a9856bd644fa323d35929f4 VL - 86 ID - 1124 ER - TY - CONF AB - This paper reports on a qualitative study about the application of tag clouds for supporting meta-cognition in self-directed and incidental learning. It analyses the use of a personal tag-cloud visualization of the tags that are used at a public social bookmarking service. The study focuses at the types of metacognitive control based on reflection notes of the learners. These notes were analyzed regarding the contents of the reflections as well as regarding their meta-cognitive type. The study has two important outcomes. Firstly, a personal tag cloud can stimulate reflection on the tagging activity of a learner. Secondly, reflecting on the tagging activity is not built into the design of a tag cloud. AU - Glahn, Christian AU - Specht, Marcus AU - Koper, Rob C3 - 2nd International Workshop on Mashup Personal Learning Environments, MUPPLE 2009, September 29, 2009 - September 29, 2009 DA - 2009 KW - Cognitive systems Computer aided instruction data mining Flow visualization Metadata Reflection visualization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Sun SITE Central Europe CEUR-WS PY - 2009 SN - 16130073 SP - 89-97 ST - Reflection support using multi-encoded tag-clouds T3 - CEUR Workshop Proceedings TI - Reflection support using multi-encoded tag-clouds VL - 506 ID - 1060 ER - TY - JOUR AB - Group 14 of Genetic Analysis Workshop 17 examined several issues related to analysis of complex traits using DNA sequence data. These issues included novel methods for analyzing rare genetic variants in an aggregated manner (often termed collapsing rare variants), evaluation of various study designs to increase power to detect effects of rare variants, and the use of machine learning approaches to model highly complex heterogeneous traits. Various published and novel methods for analyzing traits with extreme locus and allelic heterogeneity were applied to the simulated quantitative and disease phenotypes. Overall, we conclude that power is (as expected) dependent on locus-specific heritability or contribution to disease risk, large samples will be required to detect rare causal variants with small effect sizes, extreme phenotype sampling designs may increase power for smaller laboratory costs, methods that allow joint analysis of multiple variants per gene or pathway are more powerful in general than analyses of individual rare variants, population-specific analyses can be optimal when different subpopulations harbor private causal mutations, and machine learning methods may be useful for selecting subsets of predictors for follow-up in the presence of extreme locus heterogeneity and large numbers of potential predictors. AU - Bailey-Wilson, Joan E. AU - Brennan, Jennifer S. AU - Bull, Shelley B. AU - Culverhouse, Robert AU - Kim, Yoonhee AU - Jiang, Yuan AU - Jung, Jeesun AU - Li, Qing AU - Lamina, Claudia AU - Liu, Ying AU - Magi, Reedik AU - Niu, Yue S. AU - Simpson, Claire L. AU - Wang, Libo AU - Yilmaz, Yildiz E. AU - Zhang, Heping AU - Zhang, Zhaogong DA - 2011 DO - 10.1002/gepi.20657 J2 - Genet Epidemiol KW - *Regression Analysis artificial intelligence Data Interpretation, Statistical data mining Exome Genetic Predisposition to Disease/*genetics Genetic Variation Human Genome Project Humans Meta-Analysis as Topic Molecular Epidemiology/*methods Polymorphism, Single Nucleotide/*genetics Sequence Analysis L1 - internal-pdf://1960709859/Bailey-Wilson-2011-Regression and data mining.pdf LA - eng PY - 2011 SN - 1098-2272 0741-0395 SP - S92-100 ST - Regression and data mining methods for analyses of multiple rare variants in the Genetic Analysis Workshop 17 mini-exome data T2 - Genetic epidemiology TI - Regression and data mining methods for analyses of multiple rare variants in the Genetic Analysis Workshop 17 mini-exome data UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3360949/pdf/nihms345835.pdf VL - 35 Suppl 1 ID - 84 ER - TY - JOUR AU - Paldam, Martin DA - 2013/05// IS - 2 PY - 2013 SN - 1933-527X SP - 136-156 ST - Regression Costs Fall, Mining Ratios Rise, Publication Bias Looms, and Techniques Get Fancier: Reflections on Some Trends in Empirical Macroeconomics T2 - Econ Journal Watch TI - Regression Costs Fall, Mining Ratios Rise, Publication Bias Looms, and Techniques Get Fancier: Reflections on Some Trends in Empirical Macroeconomics VL - 10 ID - 2202 ER - TY - JOUR AB - Taste perception plays an important role in the mediation of food choices in mammals. The first porcine taste receptor genes identified, sequenced and characterized, TAS1R1 and TAS1R3, were related to the dimeric receptor for umami taste. However, little is known about their regulatory network. The objective of this study was to unfold the genetic network involved in porcine umami taste perception. We performed a meta-analysis of 20 gene expression studies spanning 480 porcine microarray chips and screened 328 taste-related genes by selective mining steps among the available 12,320 genes. A porcine umami taste-specific regulatory network was constructed based on the normalized coexpression data of the 328 genes across 27 tissues. From the network, we revealed the 'taste module' and identified a coexpression cluster for the umami taste according to the first connector with the TAS1R1/TAS1R3 genes. Our findings identify several taste-related regulatory genes and extend previous genetic background of porcine umami taste. AU - Kim, J. M. AU - Ren, D. AU - Reverter, A. AU - Roura, E. DA - 2016/02//undefined DO - 10.1111/age.12374 IS - 1 J2 - Anim Genet KW - *Gene Regulatory Networks Animals data mining gene microarray Multigene Family Oligonucleotide Array Sequence Analysis Receptors, G-Protein-Coupled/*genetics regulatory network Swine/*genetics T1R Taste/*genetics taste receptors Transcription Factors/genetics L1 - internal-pdf://2049197811/Kim-2016-A regulatory gene network related to.pdf LA - eng PY - 2016 SN - 1365-2052 0268-9146 SP - 114-119 ST - A regulatory gene network related to the porcine umami taste receptor (TAS1R1/TAS1R3) T2 - Animal genetics TI - A regulatory gene network related to the porcine umami taste receptor (TAS1R1/TAS1R3) UR - http://onlinelibrary.wiley.com/store/10.1111/age.12374/asset/age12374.pdf?v=1&t=itiuodum&s=d037120b8baf5ae9a2dac587665e1a9be17ae7a6 VL - 47 ID - 73 ER - TY - CONF AB - Biofilm development in water supply systems (WSSs) depends on infrastructure and operational factors, apart from water quality. We have developed a methodology that considers WSSs hydraulic (operation) and physical (design) characteristics to identify areas with different biofilm development trends within a WSS. To achieve this aim we have used meta-analysis and multi-agent system label propagation via discriminant analysis. As a result, we recognise areas with different susceptibility to biofilm development in a given WSS, and observe how modifications in the infrastructure affect the distribution and extent of these areas. 2014 Published by Elsevier Ltd. AU - Ramos-Martinez, E. AU - Herrera, M. AU - Gutierrez-Perez, J. AU - Izquierdo, J. AU - Perez-Garcia, R. C3 - 16th International Conference on Water Distribution System Analysis, WDSA 2014, July 14, 2014 - July 17, 2014 DA - 2014 DO - 10.1016/j.proeng.2014.11.181 KW - Biofilms data mining Discriminant Analysis Multi agent systems Patient rehabilitation Potable water Systems analysis Water Water distribution systems Water quality Water supply Water supply systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Elsevier Ltd PY - 2014 SN - 18777058 SP - 225-231 ST - Rehabilitation actions in water supply systems: Effects on biofilm susceptibility T3 - Procedia Engineering TI - Rehabilitation actions in water supply systems: Effects on biofilm susceptibility UR - http://dx.doi.org/10.1016/j.proeng.2014.11.181 VL - 89 ID - 1658 ER - TY - CONF AB - In many application areas, the key to successful data analysis is the integrated analysis of heterogeneous data. One example is the financial domain, where time-dependent and highly frequent quantitative data (e.g., trading volume and price information) and textual data (e.g., economic and political news reports) need to be considered jointly. Data analysis tools need to support an integrated analysis, which allows studying the relationships between textual news documents and quantitative properties of the stock market price series. In this paper, we describe a workflow and tool that allows a flexible formation of hypotheses about text features and their combinations, which reflect quantitative phenomena observed in stock data. To support such an analysis, we combine the analysis steps of frequent quantitative and text-oriented data using an existing a-priori method. First, based on heuristics we extract interesting intervals and patterns in large time series data. The visual analysis supports the analyst in exploring parameter combinations and their results. The identified time series patterns are then input for the second analysis step, in which all identified intervals of interest are analyzed for frequent patterns co-occurring with financial news. An a-priori method supports the discovery of such sequential temporal patterns. Then, various text features like the degree of sentence nesting, noun phrase complexity, the vocabulary richness, etc. are extracted from the news to obtain meta patterns. Meta patterns are defined by a specific combination of text features which significantly differ from the text features of the remaining news data. Our approach combines a portfolio of visualization and analysis techniques, including time-, cluster- and sequence visualization and analysis functionality. We provide two case studies, showing the effectiveness of our combined quantitative and textual analysis work flow. The workflow can also be generalized to other application domains such as data analysis of smart grids, cyber physical systems or the security of critical infrastructure, where the data consists of a combination of quantitative and textual time series data. 2014 SPIE-IST. AU - Wanner, Franz AU - Schreck, Tobias AU - Jentner, Wolfgang AU - Sharalieva, Lyubka AU - Keim, Daniel A. C3 - 21st annual IS and T/SPIE Conference on Visualization and Analysis, VDA 2014, February 3, 2014 - February 5, 2014 DA - 2014 DO - 10.1117/12.2039639 KW - Commerce Data visualization Embedded systems financial data processing Text processing Time series analysis TOOLS visualization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SPIE PY - 2014 SN - 0277786X SP - The-Society for Imaging Science and Technology (IS and T); The Society of Photo-Optical Instrumentation Engineers (SPIE); Kitware Inc. ST - Relating interesting quantitative time series patterns with text events and text features T3 - Proceedings of SPIE - The International Society for Optical Engineering TI - Relating interesting quantitative time series patterns with text events and text features UR - http://dx.doi.org/10.1117/12.2039639 VL - 9017 ID - 768 ER - TY - JOUR AB - OBJECTIVES: To review evidence about the joint relation of exposure to asbestos and smoking on the risk of lung cancer to answer three questions: (1) does asbestos increase risk in non-smokers; (2) are the data consistent with an additive model; and (3) are the data consistent with a multiplicative model? METHODS: Analysis of 23 studies reporting epidemiological evidence on the joint relation. Comparison of risk of lung cancer in subjects unexposed to asbestos or smoking, exposed to asbestos only, to smoking only, or to both. Estimation of the relative risk associated with asbestos exposure in non-smokers and of statistics testing for additivity and multiplicativity of risk. RESULTS: Eight of the 23 studies provided insufficient data on the risk of lung cancer in non-smokers to test for possible effects of asbestos. Asbestos exposure was associated with a significantly (p<0.05) increased risk in non-smokers in six of the remaining studies and with a moderately increased, but not significant, increase in a further six. In two of the three studies that found no increase, asbestos exposure was insufficient to increase risks in smokers. In 30 of 31 data sets analysed, risk in the combined exposure group was greater than predicted by the additive model. There was no overall departure from the multiplicative model, the proportional increase in risk of lung cancer with exposure to asbestos being estimated as 0.90 (95% confidence interval (95% CI) 0.67 to 1.20) times higher in smokers than non-smokers. For two studies significant (p<0.05) departures from a multiplicative relation were found in some, but not all, analyses. Reasons are presented why these may not indicate true model discrepancies. CONCLUSIONS: Asbestos exposure multiplies risk of lung cancer by a similar factor in non-smokers and smokers. The extent to which it multiplies risk varies between studies, no doubt depending on the type of asbestos involved, and the nature, extent, and duration of exposure. AN - 106686419. Language: English. Entry Date: 20040102. Revision Date: 20150711. Publication Type: Journal Article AU - Lee, P. N. DA - 2001/03// DB - c8h DP - EBSCOhost IS - 3 J2 - Occupational & Environmental Medicine KW - Asbestos -- Adverse Effects Carcinogens Case Control Studies Computerized Literature Searching Cox Proportional Hazards Model Embase Epidemiological Research Female Funding Source Human Hypothesis Incidence Lung Neoplasms -- Etiology Male Medline meta analysis mining Models, Statistical Occupational Exposure -- Adverse Effects Prospective studies Relative Risk Risk Assessment -- Methods Smoking -- Complications Systematic review L1 - internal-pdf://2857090016/Lee-2001-Relation between exposure to asbestos.pdf N1 - research; systematic review; tables/charts. Journal Subset: Biomedical; Blind Peer Reviewed; Europe; Expert Peer Reviewed; Peer Reviewed; UK & Ireland. Grant Information: Philip Morris Europe. NLM UID: 9422759. PY - 2001 SN - 1351-0711 SP - 145-153 ST - Relation between exposure to asbestos and smoking jointly and the risk of lung cancer T2 - Occupational & Environmental Medicine TI - Relation between exposure to asbestos and smoking jointly and the risk of lung cancer UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=106686419&scope=site http://oem.bmj.com/content/58/3/145.full.pdf VL - 58 ID - 409 ER - TY - JOUR AB - Enterprises have been storing multidimensional data, using a star or snowflake schema, in relational databases for many years. Over time, relational database vendors have added optimizations that enhance query performance on these schemas. During the 1990s many special-purpose databases were developed that could handle added calculational complexity and that generally performed better than relational engines. DB2 has added a number of features that make it more competitive with these special-purpose databases. In this paper, we define meta-data extensions that allow designers of multidimensional schemas to describe the structure of those schemas to multidimensional query and analysis tools. The SQL (Structured Query Language) extensions include a "cube" object that returns row sets that are "slices" of the cube. We also describe Web services for OLAP (online analytical processing) that provide metadata for multidimensional data, as well as XML (Extensible Markup Language) query results. AU - Colossi, N. AU - Malloy, W. AU - Reinwald, B. DA - 2002 DO - 10.1147/sj.414.0714 IS - 4 J2 - IBM Systems Journal KW - Computational complexity data mining hypermedia markup languages query processing relational databases SQL L1 - internal-pdf://1215828993/Colossi-2002-Relational extensions for OLAP.pdf PY - 2002 SN - 0018-8670 SP - 714-31 ST - Relational extensions for OLAP T2 - IBM Systems Journal TI - Relational extensions for OLAP UR - http://dx.doi.org/10.1147/sj.414.0714 VL - 41 ID - 890 ER - TY - CONF AB - In this paper, we adapt score-based structure learning algorithms for discovering relational graphical models for domain-specific collaborative recommendation from scientific data and Web service repositories, as well as use cases for software and data sets retrieved from them. Statistical evaluation is performed using validation user data over a larger set of TAVERNA workflows built using the same services. The object-relational representation of these transactional workflow models include probabilistic graphical models, such as Bayesian networks and decision networks, that have been applied to a wide variety of problems in intelligent information retrieval, information extraction, and link analysis (Getoor et al., 2002). Our approach combines score-based algorithms for learning the structure of relational probabilistic models with existing techniques for constructing relational models of metadata about computational grid services (including data sources, functions, and nested workflows). AU - Hsu, W. H. C3 - Semantics of a Networked World. Semantics for Grid Databases. First International IFIP Conference, ICSNW 2004. Revised Selected Papers, 17-19 June 2004 DA - 2004 KW - data mining Grid computing information filtering Internet learning (artificial intelligence) meta data object-oriented databases Probability relational databases statistical analysis workflow management software PB - Springer-Verlag PY - 2004 SP - 309-10 ST - Relational graphical models of computational workflows for data mining T3 - Semantics of a Networked World. Semantics for Grid Databases. First International IFIP Conference, ICSNW 2004. Revised Selected Papers. (Lecture Notes in Computer Science Vol.3226) TI - Relational graphical models of computational workflows for data mining ID - 1854 ER - TY - CONF AB - This paper analyses capabilities of machine learning and KDDDM methods to perform cognitive processes in the form of discovering the domain theories. The concept of cognition of the domain theory is derived for the reprehensive measurement theory (RMT). We show that a relational data mining approach we proposed previously performs cognition of domain theories in accordance with the RMT and produces the relational methodology for analysis of cognitive capabilities of data mining methods. In this methodology a domain theory includes a metadata ontology. This ontology contains various data types formalized in the first-order logic in accordance with the RMT. To represent the knowledge theory we use the concept of the logical empirical theory that is defined in the paper. AU - Vityaev, E. AU - Kovalerchuk, B. C3 - Proceedings. Sixteenth International Workshop on Database and Expert Systems Applications, 22-26 Aug. 2005 DA - 2005 KW - cognition data mining Formal logic learning (artificial intelligence) meta data ontologies (artificial intelligence) relational databases PB - IEEE Comput. Soc. PY - 2005 SP - 725-9 ST - Relational methodology for data mining and knowledge discovery T3 - Proceedings. Sixteenth International Workshop on Database and Expert Systems Applications TI - Relational methodology for data mining and knowledge discovery ID - 1846 ER - TY - JOUR AB - OBJECTIVE: Assessment of the effectiveness compared with alternative treatment(s) plays an important role in many jurisdictions in determining the reimbursement status of pharmaceuticals. This type of assessment is often referred to as a relative effectiveness assessment (REA) and is carried out by many jurisdictions. Increased sharing of information across jurisdictions may save costs and reduce duplication. The objective of this study was to explore the main similarities and differences in the major methodological aspects of REA in multiple jurisdictions. METHODS: Data were gathered with a standardized data extraction form by searching publicly available information and by eliciting information from representatives at relevant organizations. RESULTS: Of the initially included 35 jurisdictions, data were gathered for 29 jurisdictions. There seem to be substantial similarities on the choice of the comparator, the role of indirect comparisons, and preferred end points in REAs (except for the use of health state utilities). Jurisdictions, however, differ in whether effectiveness (usual circumstances of health care practice) is estimated in case no (comparative) effectiveness data are available and how this is done. CONCLUSION: Some important methodological aspects for REA are approached in a similar way in many jurisdictions, indicating that collaboration on assessments may be feasible. Enhanced collaboration in the development of methods and best practices for REA between jurisdictions will be a necessary first step. Important topics for developing best practice are indirect comparisons and how to handle the gap between efficacy and effectiveness data in case good quality comparative effectiveness data are not yet available at the time of reimbursement decisions. AU - Kleijnen, Sarah AU - George, Elisabeth AU - Goulden, Scott AU - d'Andon, Anne AU - Vitre, Pauline AU - Osinska, Boguslawa AU - Rdzany, Rafal AU - Thirstrup, Steffen AU - Corbacho, Belen AU - Nagy, Bence Z. AU - Leufkens, Hubert G. AU - de Boer, Anthonius AU - Goettsch, Wim G. DA - 2012/10//Sep- undefined DO - 10.1016/j.jval.2012.04.010 IS - 6 J2 - Value Health KW - *Medication Therapy Management Comparative Effectiveness Research/methods data mining Europe Humans qualitative research Relative Biological Effectiveness L1 - internal-pdf://0253674535/Kleijnen-2012-Relative effectiveness assessmen.pdf LA - eng PY - 2012 SN - 1524-4733 1098-3015 SP - 954-960 ST - Relative effectiveness assessment of pharmaceuticals: similarities and differences in 29 jurisdictions T2 - Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research TI - Relative effectiveness assessment of pharmaceuticals: similarities and differences in 29 jurisdictions UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1098301512016099/1-s2.0-S1098301512016099-main.pdf?_tid=dda96384-833e-11e6-932f-00000aacb362&acdnat=1474821851_cfe0b6e9f162df5afc40d27c2cc8817f VL - 15 ID - 341 ER - TY - CONF AB - Bibliographic metadata plays a key role in scientific literature, not only to summarise and establish the facts of the publication record, but also to track citations between publications and hence to establish the impact of individual articles within the literature. Commercial secondary publishers have typically taken on the role of rekeying, mining and analysing this huge corpus of linked data, but as the primary literature has moved to the world of the digital repository, this task is now undertaken by new services such as Citeseer, Citebase or Google Scholar. As institutional and subject- based repositories proliferate and Open Access mandates increase, more of the literature will become openly available in well managed data islands containing a much greater amount of detailed bibliometric metadata in formats such as RDF. Through the use of efficient extraction and inference techniques, complex relations between data items can be established. In this paper we explain the importance of the co-relation in enabling new techniques to rate the impact of a paper or author within a large corpus of publications. AU - Tarrant, D. AU - Carr, L. AU - Payne, T. C3 - Joint Conference on Digital Libraries (JCDL 2008), 15-19 June 2008 DA - 2008 DO - 10.1145/1378889.1379016 KW - bibliographic systems Citation Analysis meta data Publishing PB - ACM PY - 2008 SP - 471 ST - Releasing the power of digital metadata: examining large networks of co-related publications T3 - Joint Conference on Digital Libraries (JCDL 2008) TI - Releasing the power of digital metadata: examining large networks of co-related publications UR - http://dx.doi.org/10.1145/1378889.1379016 ID - 1473 ER - TY - CONF AB - Recently, there is a surge of heterogeneous information network analysis, where network includes multiple types of objects or links. Many data mining tasks have been studied on it, among which similarity measure is a basic and important function. Several similarity measures have been proposed in heterogeneous information network. However, they suffer from high computation and memory demand. In this paper, we propose a novel measure, called AvgSim, which can measure similarity of same or different-typed object pairs in a uniform framework and has some good properties. AvgSim value of two objects is evaluated through two random walk processes along the given meta-path and the reverse meta-path, respectively. In addition, we implement AvgSim using MapReduce parallel model in order to enable the application in large-scale networks. Experiments on real data sets verify the effectiveness and efficiency of AvgSim. 2014 Springer International Publishing Switzerland. AU - Meng, Xiaofeng AU - Shi, Chuan AU - Li, Yitong AU - Zhang, Lei AU - Wu, Bin C3 - 16th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2014, September 5, 2014 - September 7, 2014 DA - 2014 DO - 10.1007/978-3-319-11116-2_61 KW - Heterogeneous networks Information services random processes N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2014 SN - 03029743 SP - 636-643 ST - Relevance measure in large-scale heterogeneous networks T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Relevance measure in large-scale heterogeneous networks UR - http://dx.doi.org/10.1007/978-3-319-11116-2_61 VL - 8709 LNCS ID - 778 ER - TY - JOUR AU - Stolba, Nevena AU - Tjoa, A. Min DA - 2006 DP - Google Scholar IS - 3 L1 - http://www.waset.org/publications/12744 PY - 2006 SP - 143-148 ST - The relevance of data warehousing and data mining in the field of evidence-based medicine to support healthcare decision making T2 - International Journal of Computer Systems Science and Engineering TI - The relevance of data warehousing and data mining in the field of evidence-based medicine to support healthcare decision making UR - http://www.waset.org/publications/12744 VL - 3 Y2 - 2016/09/24/16:09:56 ID - 2461 ER - TY - CONF AB - Research on data integration has provided languages and systems able to guarantee an integrated intensional representation of a given set of data sources. A significant limitation common to most proposals is that only intensional knowledge is considered, with little or no consideration for extensional knowledge. In this paper we propose a technique to enrich the intension of an attribute with a new sort of metadata: the "relevant values", extracted from the attribute values. Relevant values enrich schemata with domain knowledge; moreover they can be exploited by a user in the interactive process of creating/refining a query. The technique, fully implemented in a prototype, is automatic, independent of the attribute domain and it is based on data mining clustering techniques and emerging semantics from data values. It is parametrized with various metrics for similarity measures and is a viable tool for dealing with frequently changing sources, as in the semantic Web context. AU - Bergamaschi, S. AU - Guerra, F. AU - Sartori, C. C3 - ICEIS 2007. Ninth International Conference on Enterprise Information Systems, Volume DISI, 12-16 June 2007 DA - 2007 KW - data analysis data mining data structures meta data Semantic Web PB - INSTICC PY - 2007 SP - 274-9 ST - Relevant values: New metadata to provide insight on attribute values at schema level T3 - ICEIS 2007. Proceedings of the Ninth International Conference on Enterprise Information Systems, Volume DISI TI - Relevant values: New metadata to provide insight on attribute values at schema level ID - 1507 ER - TY - CONF AB - While classic information retrieval methods return whole documents as a result of a query, many information demands would be better satisfied by fine-grain access inside the documents. One way to support this goal is to make the semantics of small document regions explicit, e.g. as XML labels, so that query engines can exploit them. To this purpose, the topics of the small document regions must be discovered from the texts; differently from document labelling applications, fine-grain topics cannot be listed in advance for arbitrary collections. Text-understanding approaches can derive the topic of a document region but are less appropriate for the construction of a small set of topics that can be used in queries. To address this challenge we propose the coupling of text mining, prior knowledge explicated in ontologies and human expertise and present the system RELFIN, which is designed to assist the human expert in the discovery of topics appropriate for: (i) ontology enhancement with additional concepts or relationships; and (ii) semantic characterization and tagging of document regions. RELFIN performs data mining upon linguistically preprocessed corpora to group document regions on topics and construct the topic labels for them, so that the labels are characteristic of the regions and thus helpful in ontology-based search. We show our first results of applying RELFIN on a case study of text analysis and retrieval. AU - Schaal, M. AU - Muller, R. M. AU - Brunzel, M. AU - Spiliopoulou, M. C3 - The Semantic Web: Research and Applications. Second European Semantic Web Conference, ESWC 2005. Proceedings, 29 May-1 June 2005 DA - 2005 KW - data mining information retrieval meta data ontologies (artificial intelligence) Semantic Web text analysis XML PB - Springer-Verlag PY - 2005 SP - 608-22 ST - RELFIN - topic discovery for ontology enhancement and annotation T3 - The Semantic Web: Research and Applications. Second European Semantic Web Conference, ESWC 2005. Proceedings (Lecture Notes in Computer Science Vol. 3532) TI - RELFIN - topic discovery for ontology enhancement and annotation ID - 1519 ER - TY - THES AB - The invasion of the Western United States of America by Bromus tectorum, also known as "cheatgrass" is mapped using techniques of remote sensing. Landsat 5 Thematic Mapper (TM) data was radiometrically processed to ground reflectance using the MODTRAN4 atmospheric simulation model. The results of the radiometric processing were checked against ground reflectances with a portable ASD spectrometer. Landsat TM imagery covering portions of Utah State, USA were obtained at two times for each scene, one in the spring and one in the summer. The imagery was radiometrically processed to ground reflectance. Field data on cheatgrass abundance were collected at the same time period of the Landsat imagery. A variety of regression models were tested for predicting cheatgrass abundance. Prediction variables included the extracted ground reflectance from the multi-temporal imagery and ancillary topographic data. A meta-prediction framework was devised for compositing the results of an ensemble of regression models. Using cross-validation, the method was found to predict cheatgrass abundance (as percent) with approximately 15% Root Mean Square Error. The Landsat based prediction maps were used to scale reference data to 250 meter resolution, for prediction over larger spatial areas using the MODerate resolution Imaging Spectro-radiometer (MODIS). MODIS Normalized Difference Vegetation Index (NDVI) maps, at 250 meter spatial resolution and bi-monthly data frequency, were assembled over a five year time period spanning 2001-2005. PRISM monthly total precipitation data, a spatially interpolated (4 kilometer) resolution data product, were compiled over the same time period and the same spatial coverage as the MODIS data. Thin plate (Duchon) splines were fit to the time series of precipitation data and MODIS NDVI in order to generate time series of precipitation and NDVI (with an arbitrary number of data points) over the study area. Metrics designed to quantify ecosystem response to precipitation were developed and tested on the time series. The metrics were tested to efficacy in prediction of cheatgrass abundance, at a 250 meter resolution. Multiple data mining algorithms (classifiers) were tested, using cross validation to compare accuracy and aid in model selection. In a presence/absence context, a Support Vector Machine (SVM) was found to have approximately 90% overall accuracy on the training data. In a four class context (none, low, moderate, high levels of infestation), a different SVM was found to have approximately 71% accuracy. Throughout the analysis, open source and/or free software written in Java was used when possible. ProQuest Subject Headings: Remote sensing, Environmental science. Citation reproduced with permission of ProQuest LLC. AU - Clinton, Nicholas Etienne DA - 2008 KW - Algorithms COMPUTER software data mining Environmental engineering Forecasting image reconstruction Mean square error Open source software open systems Radiometers Reflection Regression Analysis REMOTE SENSING Satellite imagery Spectrometers Support Vector Machines time series Verification N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - ProQuest LLC PY - 2008 ST - Remote sensing of species invasion TI - Remote sensing of species invasion ID - 865 ER - TY - JOUR AB - Background. Statistical methods and adverse events (that is, harms) data affect the accuracy of conclusions about the risk-to-benefit ratio of treatments for temporomandibular disorders (TMDs). The authors reviewed the quality of reporting in TMD clinical trials to highlight practices that are in need of improvement. Types of Studies Reviewed. The authors included articles published between 1969 and May 31, 2013, in which the investigators reported randomized clinical trials of TMD treatments with pain as a principal outcome variable. Investigators in trials of nonpharmacologic and noninvasive treatments were required to at least mask the participants and assessors; all others were required to be double masked. Results. Ninety articles qualified for this review: 39 published between 1971 and 2005 (older articles) and 51 published between 2006 and 2013 (newer articles). Specification of primary outcome analyses, methods to accommodate missing data, and adverse event collection methods and rates were generally poor. In some cases, there was apparent improvement from the older to the newer cohort; however, reporting of these methodological details remained inadequate even in the newer articles. Practical Implications. This review is designed to alert authors, reviewers, editors, and readers of TMD clinical trials to these issues and improve reporting quality in the future. AN - 103803860. Language: English. Entry Date: 20150602. Revision Date: 20150710. Publication Type: Journal Article AU - Gewandter, Jennifer S. AU - Smith, Shannon M. AU - McKeown, Andrew AU - Edwards, Kenessa AU - Narula, Aastha AU - Pawlowski, Joseph R. AU - Rothstein, Daniel AU - Desjardins, Paul J. AU - Dworkin, Samuel F. AU - Gross, Robert A. AU - Ohrbach, Richard AU - Rappaport, Bob A. AU - Sessle, Barry J. AU - Turk, Dennis C. AU - Dworkin, Robert H. DA - 2015/04// DB - c8h DO - 10.1016/j.adaj.2014.12.023 DP - EBSCOhost IS - 4 J2 - Journal of the American Dental Association (JADA) KW - Adverse Health Care Event Coding -- Standards data mining Descriptive Statistics Funding Source Information Resources Pain -- Therapy PubMed Quality Improvement Randomized Controlled Trials -- Standards Systematic review Temporomandibular Joint Diseases -- Complications Treatment Outcomes -- Statistics and Numerical Data Voluntary Reporting -- Standards World Wide Web L1 - internal-pdf://1111088131/Gewandter-2015-Reporting of adverse events and.pdf N1 - research; systematic review; tables/charts. Journal Subset: Biomedical; Double Blind Peer Reviewed; Editorial Board Reviewed; Expert Peer Reviewed; Peer Reviewed; USA. Special Interest: Dental Care; Evidence-Based Practice. Grant Information: Financial support for this project was provided by the Addiction Clinical Trial Translations, Innovations, Opportunities, and Networks (ACTTION) public private partnership, which has received research contracts, grants, or other revenue from the US Food and Drug Administration, as well as multiple pharmaceutical and device companies and other sources—Annovation, Astellas, Centrexion, Collegium Pharmaceutical, Depomed, Horizon Pharma, Jazz Pharmaceuticals, Johnson & Johnson, Lilly, Olatec Industries, Pfizer, Purdue Pharma, Spinifex, and Teva Pharmaceutical Industries.. NLM UID: 7503060. PY - 2015 SN - 0002-8177 SP - 246-254 ST - Reporting of adverse events and statistical details of efficacy estimates in randomized clinical trials of pain in temporomandibular disorders T2 - Journal of the American Dental Association (JADA) TI - Reporting of adverse events and statistical details of efficacy estimates in randomized clinical trials of pain in temporomandibular disorders UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=103803860&scope=site http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0002817715001737/1-s2.0-S0002817715001737-main.pdf?_tid=11228b04-8336-11e6-a23e-00000aacb362&acdnat=1474818072_529ca2b1f441f92a973b2d46dcfc223a VL - 146 ID - 398 ER - TY - JOUR AB - Systematic reviews are an essential tool for researchers, prevention providers and policy makers who want to remain current with the evidence in the field. Systematic review must adhere to strict standards, as the results can provide a more objective appraisal of evidence for making scientific decisions than traditional narrative reviews. An integral component of a systematic review is the development and execution of a comprehensive systematic search to collect available and relevant information. A number of reporting guidelines have been developed to ensure quality publications of systematic reviews. These guidelines provide the essential elements to include in the review process and report in the final publication for complete transparency. We identified the common elements of reporting guidelines and examined the reporting quality of search methods in HIV behavioral intervention literature. Consistent with the findings from previous evaluations of reporting search methods of systematic reviews in other fields, our review shows a lack of full and transparent reporting within systematic reviews even though a plethora of guidelines exist. This review underscores the need for promoting the completeness of and adherence to transparent systematic search reporting within systematic reviews. Published 2013. This article is a U.S. Government work and is in the public domain in the USA. AU - Mullins, Mary M. AU - DeLuca, Julia B. AU - Crepaz, Nicole AU - Lyles, Cynthia M. DA - 2014 DO - 10.1002/jrsm.1098 DP - APA PsycNET IS - 2 KW - *Decision Making *HIV *Intervention *Literature Review *Meta Analysis Policy Making Psychology Education LA - English PY - 2014 SN - 1759-2887 1759-2879 SP - 116-130 ST - Reporting quality of search methods in systematic reviews of HIV behavioral interventions (2000–2010) T2 - Research Synthesis Methods TI - Reporting quality of search methods in systematic reviews of HIV behavioral interventions (2000–2010): Are the searches clearly explained, systematic and reproducible? UR - http://psycnet.apa.org.ezproxy.lib.vt.edu/index.cfm?fa=search.displayRecord&id=3FADC1DE-9041-E9D3-1B0A-3623CB6197E7&resultID=4&page=1&dbTab=all&search=true VL - 5 ID - 452 ER - TY - CHAP AB - Background Background A pressure ulcer (PU), also referred to as a 'pressure injury', 'pressure sore', or 'bedsore' is defined as an area of localised tissue damage that is caused by unrelieved pressure, friction or shearing forces on any part of the body. PUs commonly occur in patients who are elderly and less mobile, and carry significant human and economic impacts. Immobility and physical inactivity are considered to be major risk factors for PU development and the manual repositioning of patients in hospital or long-term care is a common pressure ulcer prevention strategy. Objectives Objectives The objectives of this review were to: 1) assess the effects of repositioning on the prevention of PUs in adults, regardless of risk or in-patient setting; 2) ascertain the most effective repositioning schedules for preventing PUs in adults; and 3) ascertain the incremental resource consequences and costs associated with implementing different repositioning regimens compared with alternate schedules or standard practice. Search methods Search methods We searched the following electronic databases to identify reports of the relevant randomised controlled trials: the Cochrane Wounds Group Specialised Register (searched 06 September 2013), the Cochrane Central Register of Controlled Trials (CENTRAL) (2013, Issue 8); Ovid MEDLINE (1948 to August, Week 4, 2013); Ovid EMBASE (1974 to 2013, Week 35); EBESCO CINAHL (1982 to 30 August 2013); and the reference sections of studies that were included in the review. Selection criteria Selection criteria Randomised controlled trials (RCTs), published or unpublished, that assessed the effects of any repositioning schedule or different patient positions and measured PU incidence in adults in any setting. Data collection and analysis Data collection and analysis Two review authors independently performed study selection, risk of bias assessment and data extraction. Main results Main results We included three RCTs and one economic study representing a total of 502 randomised participants from acute and long-term care settings. Two trials compared the 30º and 90º tilt positions using similar repositioning frequencies (there was a small difference in frequency of overnight repositioning in the 90º tilt groups between the trials). The third RCT compared alternative repositioning frequencies. All three studies reported the proportion of patients developing PU of any grade, stage or category. None of the trials reported on pain, or quality of life, and only one reported on cost. All three trials were at high risk of bias. The two trials of 30º tilt vs. 90º were pooled using a random effects model (I² = 69%) (252 participants). The risk ratio for developing a PU in the 30º tilt and the standard 90º position was very imprecise (pooled RR 0.62, 95% CI 0.10 to 3.97, P=0.62, very low quality evidence). This comparison is underpowered and at risk of a Type 2 error (only 21 events). In the third study, a cluster randomised trial, participants were randomised between 2-hourly and 3-hourly repositioning on standard hospital mattresses and 4 hourly and 6 hourly repositioning on viscoelastic foam mattresses. This study was also underpowered and at high risk of bias. The risk ratio for pressure ulcers (any category) with 2-hourly repositioning compared with 3-hourly repositioning on a standard mattress was imprecise (RR 0.90, 95% CI 0.69 to 1.16, very low quality evidence). The risk ratio for pressure ulcers (any category) was compatible with a large reduction and no difference between 4-hourly repositioning and 6-hourly repositioning on viscoelastic foam (RR 0.73, 95% CI 0.53 to 1.02, very low quality evidence). A cost-effectiveness analysis based on data derived from one of the included parallel RCTs compared 3-hourly repositioning using the 30º tilt overnight with standard care consisting of 6-hourly repositioning using the 90º lateral rotation overnight. In this evaluation the only included cost was nursing time. The intervention was reported to be cost saving compared with standard care (nurse time cost per patient €206.6 vs €253.1, incremental difference €-46.5; 95%CI: €-1.25 to €-74.60). Authors' conclusions Authors' conclusions Repositioning is an integral component of pressure ulcer prevention and treatment; it has a sound theoretical rationale, and is widely recommended and used in practice. The lack of robust evaluations of repositioning frequency and position for pressure ulcer prevention mean that great uncertainty remains but it does not mean these interventions are ineffective since all comparisons are grossly underpowered. Current evidence is small in volume and at risk of bias and there is currently no strong evidence of a reduction in pressure ulcers with the 30° tilt compared with the standard 90º position or good evidence of an effect of repositioning frequency. There is a clear need for high-quality, adequately-powered trials to assess the effects of position and optimal frequency of repositioning on pressure ulcer incidence. The limited data derived from one economic evaluation means it remains unclear whether repositioning every 3 hours using the 30º tilt is less costly in terms of nursing time and more effective than standard care involving repositioning every 6 hours using a 90º tilt. AU - Gillespie, Brigid M. AU - Chaboyer, Wendy P. AU - McInnes, Elizabeth AU - Kent, Bridie AU - Whitty, Jennifer A. AU - Thalib, Lukman DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD009958.pub2/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2014 ST - Repositioning for pressure ulcer prevention in adults T2 - Cochrane Database of Systematic Reviews TI - Repositioning for pressure ulcer prevention in adults UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD009958.pub2/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD009958.pub2/full Y2 - 2016/09/18/20:15:38 ID - 437 ER - TY - CONF AB - Aiming at the nonlinear time variable property of the copper electrolysis rectifier system, this paper puts forward the new controlling means to optimize copper electrolysis rectifier system by using improved fuzzy immune PID algorithm based on the investigation and analysis on the situation and tendencies of high-power electrolytic equipment home and abroad. Simulation and experimental results proves that the algorithm used is an effective and advanced control algorithm. 2012 IEEE. AU - Xue, Jian AU - Zhu, He C3 - 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012, October 30, 2012 - November 1, 2012 DA - 2012 DO - 10.1109/CCIS.2012.6664603 KW - Algorithms cloud computing Copper Electric rectifiers Electrolysis Electrolytic analysis Optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 1338-1340 ST - Research based on improved fuzzy immune PID algorithm optimized copper electrolysis rectifier system T3 - Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 TI - Research based on improved fuzzy immune PID algorithm optimized copper electrolysis rectifier system UR - http://dx.doi.org/10.1109/CCIS.2012.6664603 VL - 3 ID - 549 ER - TY - JOUR AB - The association rule mining aims at the relationships between the items of the transaction data sets. Because the transaction data are assigned to different sets according to their time stamps, the Support value and the Confidence value of a certain rule is not quite the same at each set. By analyzing the changes of a rule, the Meta-association Rules will be found and be used to predict the next Support value or/and the next Confidence value of it. The established Meta-association Rules can also be used to direct the further mining operations and the decisions. With an example, this paper analysis the process of mining the Meta-association Rules by the model of GM(1.1). By comparing the result with the result of fitting polynomial to the rule, the paper discusses the advantages and disadvantages of using the model of GM(1.1) to mine the Meta-association Rules. AU - Chen, Zhi AU - Lang, Juan DA - 2012 IS - 4 J2 - Microcomputer Information KW - data mining grey systems polynomials PY - 2012 SN - 1008-0570 SP - 175-6 ST - Research of Mining the Meta-association Rules Based on the Model of GM(1.1) T2 - Microcomputer Information TI - Research of Mining the Meta-association Rules Based on the Model of GM(1.1) ID - 1873 ER - TY - CONF AB - Digital forestry platform was introduced and special requirements of spatial data discovery were analyzed in this platform. The hierarchical and distributed architecture of spatial data discovery was put forward. Global metadata model, OLAP-oriented metadata aggregation and spatial relation knowledge repository were deeply researched. Global metadata model not only mainly provides spatial data entity description and Web service information but also builds relationship between them; OLAP-oriented metadata aggregation generates date cube through extracting and aggregating; spatial relation knowledge repository supplies necessary knowledge of spatial information process and analysis. Based on aforementioned technologies and researches, spatial data discovery module has realized multi-perspective view data and service display, data and service automatic match and on-demand data service. Thus, it meets special application system requirements on digital forestry platform. AU - Pinghui, Yan AU - Xu, Zhang AU - Fan, Li C3 - Sixth International Conference on Grid and Cooperative Computing (GCC 2007), 16-18 Aug. 2007 DA - 2008 KW - data mining Forestry Information services Information systems meta data PB - IEEE PY - 2008 SP - 618-23 ST - Research of spatial data discovery technology on digital forestry platform T3 - Sixth International Conference on Grid and Cooperative Computing (GCC 2007) TI - Research of spatial data discovery technology on digital forestry platform ID - 1084 ER - TY - CONF AB - As one of the most important methods of vulnerability mining, the technology of fuzzing is developing rapidly and widely used during vulnerability analysis of various kinds of software. Nowadays, with the widespread craze of Android phones, the security of Android operating system has drawn more and more attention. However, fuzzing technology of Android is still in the beginning and professional fuzzing products of Android are unavailable. In this article, a fuzzing method of Android browser based on bitmap structure is presented. The result of experiment proves that this method is efficient in triggering Android browser crashes and can help with further work of analysis and exploitation. 2012 IEEE. AU - Hou, Yuanwei AU - Tao, Guo AU - Shi, Zhiwei AU - Juan, Liu C3 - 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012, October 30, 2012 - November 1, 2012 DA - 2012 DO - 10.1109/CCIS.2012.6664259 KW - cloud computing Robots N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 670-673 ST - Research on Android browser fuzzing based on bitmap structure T3 - Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 TI - Research on Android browser fuzzing based on bitmap structure UR - http://dx.doi.org/10.1109/CCIS.2012.6664259 VL - 2 ID - 517 ER - TY - JOUR AB - With application of information technique in aluminium electrolysis process, enterprises have accumulated a large amount of production data. How to use these resources effectively and discover knowledge from data become a problem which should be solved at present. A multi-dimensional analysis system of production data for aluminium electrolytic cells was established. The system consists of data view module, ETL data extraction engine, meta-database and front-end display ActiveX component. Design, implement detail and practical application of the system are discussed in detail. AU - Cao, Dan-yang AU - Yang, Bing-ru AU - Li, Jin-hong AU - Song, Wei DA - 2010/01// IS - 1 J2 - Metallurgical Industry Automation KW - aluminium manufacture Database management systems data mining Electrolysis meta data production engineering computing PY - 2010 SN - 1000-7059 SP - 16-21 ST - Research on application of multi-dimensional analysis in aluminium electrolysis production T2 - Metallurgical Industry Automation TI - Research on application of multi-dimensional analysis in aluminium electrolysis production VL - 34 ID - 1599 ER - TY - CONF AB - Instructions extraction extracts structured information from unstructured natural language instruction text, is an application of information extraction in the field of human-computer interaction. For a natural language instruction text, if we want to extract structural information which can able to describe the text semantic completely, it is critical to position these words or phrases and mark one description which belongs to their own semantic description. This paper first try to a solution which is semantic classification based on dictionary. Because of some shortcomings of the dictionary itself, the semantic classification results are poor. Through the analysis of dictionary-based semantic classification results, this paper proposes a semantic classification method which combining CRF, self-training and Dictionary. Use this method to conduct experiments in the field of vehicle. The experiment results show that our method can be effective in semantic classification for the natural language instruction text; the overall correct rate is 92%. Semantic classification is prepared for the following work of structured information extraction. 2012 IEEE. AU - Yuan, Shuming AU - Wang, Xiaojie C3 - 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012, October 30, 2012 - November 1, 2012 DA - 2012 DO - 10.1109/CCIS.2012.6664618 KW - cloud computing Experiments Human computer interaction information retrieval Semantics Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 1414-1419 ST - Research on automatic semantic classification of human-interaction instructions T3 - Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 TI - Research on automatic semantic classification of human-interaction instructions UR - http://dx.doi.org/10.1109/CCIS.2012.6664618 VL - 3 ID - 474 ER - TY - BOOK AB - Computing fault probability is an effective method of predicting the possible weakness of new product. Aiming at computing fault probability of each component of new product, and ensuring simplification of computational process and reasonableness of result, in the paper, according to design proposal and layering of new product, Fault Tree Meta-Model (FTMM) is established based on Node-Knowledge-Representation method (NKRM) to express logical relation between each failure in different level of product and collaboration between each part. Secondly, RST and Bayes theory are applied to mining the decision rule of FTMM which is that fault of part in lower level causes fault of part in upper level, and joint probabillity of part is computed directly which avoids difficulty of computing because of unknown prior probability, then fault probability of part is computed. On this basis, Weighted Mean Algorithm based on Bayes-and-RST (BRMA) is proposed to revise fault probability further, thus the result is more exact and reasonable, which can help product development personnel predict possible weakness of product in time and carrying out reliability design further in the design stage of new product development. Finally, an instance is analyzed. AU - Li, Fei AU - Zhao, LiPing AU - Yao, YiYong DA - 2006 PY - 2006 SN - 978-1-4244-0310-3 ST - Research on computational method of fault probability for new product development based on intelligence and integration TI - Research on computational method of fault probability for new product development based on intelligence and integration ID - 2305 ER - TY - CONF AB - The Shanghai Cooperation Organization (SCO) has an extraordinary role to play in many aspects since its establishment. However, previous achievements of the organization were mainly under political and historical perspective, and quantitative study is scarce. The Social Network Analysis (SNA) is considered to be a powerful data mining tool, and it has become a new hotspot of international relations studies in recent years. This manuscript attempts to explore the relational structure of SCO though the SNA. We gathered some relevant data on Military Exercise of the SCO from the Internet. And then, we made a trial to construct the meta-network models, and obtain evolution of its relationship. 2015 IEEE. AU - Wang, Kun AU - Sun, Duoyong C3 - 13th IEEE International Conference on Intelligence and Security Informatics, ISI 2015, May 27, 2015 - May 29, 2015 DA - 2015 DO - 10.1109/ISI.2015.7165974 KW - data mining INFORMATION science Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 192 ST - Research on construction methods of the Shanghai cooperation organization meta-network model T3 - 2015 IEEE International Conference on Intelligence and Security Informatics: Securing the World through an Alignment of Technology, Intelligence, Humans and Organizations, ISI 2015 TI - Research on construction methods of the Shanghai cooperation organization meta-network model UR - http://dx.doi.org/10.1109/ISI.2015.7165974 ID - 1647 ER - TY - CHAP A2 - Shi, Y. A2 - Wang, S. A2 - Peng, Y. A2 - Li, J. A2 - Zeng, Y. AB - Traditional data mining is a data-driven trial-and-error process, stop on general pattern discovered. However, in many cases the mined knowledge by this process could not meet the real-world business needs. Actually, in real-world business, knowledge Must be actionable, that is to say, one can do something on it to profit. Actionable knowledge discovery is a complex task, due to it is strongly depend on domain knowledge, such as background knowledge expert experience, user interesting, environment context, business logic, even including law, regulation, habit, culture etc. The main challenge is moving data-driven into domain-driven data mining (DDDM), its goal is to discover actionable knowledge rather than general pattern. As a new generation data mining approach, main ideas of the DDDM are introduced. Two types of process models show the difference between loosely coupled and tightly coupled. Also the main characteristics, Such as constraint-base, human-machine cooperated, loop-closed iterative refinement and meta- synthesis-base process management are proposed. System architecture will be introduced, as well as a paradigm will be introduced. AU - Zhu, Zhengxiang AU - Gu, Jifa AU - Zhang, Lingling AU - Song, Wuqi AU - Ga, Rui PY - 2009 SN - 978-3-642-02297-5 SP - 176-183 ST - Research on Domain-Driven Actionable Knowledge Discovery T2 - Cutting-Edge Research Topics on Multiple Criteria Decision Making, Proceedings TI - Research on Domain-Driven Actionable Knowledge Discovery VL - 35 ID - 2059 ER - TY - JOUR AB - An image layered algorithm based on rough set is presented. It can extract the image's color and space information to construct a condition set, analyze the classic layer's meta information to construct the decision set, and perform the data mining using rough set theory and generate the strong rules and use these rules to layer the images. An example is presented to prove the accuracy of the algorithm. AU - Wang, Xiao-hui AU - Zhang, Shao-min AU - Wu, Zhong-li DA - 2005/03// IS - 2 J2 - Journal of North China Electric Power University KW - data mining feature extraction image colour analysis rough set theory PY - 2005 SN - 1007-2691 SP - 75-9 ST - Research on image layered algorithm based on rough set T2 - Journal of North China Electric Power University TI - Research on image layered algorithm based on rough set VL - 32 ID - 1350 ER - TY - BOOK A3 - Yu, H. G. A2 - Jiang, Y. AB - To enhance the efficiency and accuracy of knowledge acquisition, based on the aviation product failure analysis, a knowledge acquisition framework is proposed. Sentence templates are defined to extract the meta-knowledge and RDF is used to manage the extracted knowledge. Then domain concepts are discovered from RDF documents by using LSI-SVD and taxonomy knowledge are found through domain text analysis by using a text clustering method named as dominant-set. At last, a prototype is developed to acquire knowledge from failure analysis reports of aviation product. Empirical results show that the framework can acquire knowledge from domain text efficiently. AU - Wang, Jun AU - Liu, Xuening AU - Wu, Yunpeng DA - 2008 PY - 2008 SN - 978-1-84626-044-5 ST - Research on knowledge acquisition method from domain text TI - Research on knowledge acquisition method from domain text ID - 2091 ER - TY - CONF AB - The turbomachinery cascades design is a typical high dimensional computationally expensive and black box (HEB) problem, for which a meta-model based design optimization and data mining method is proposed and programmed in this work. The method combines an EI-based global algorithm with two data mining techniques of self-organizing map (SOM) and analysis of variance (ANOVA); 3D blade parameterization method and RANS Solver technique. NASA Rotor 37, a typical axial transonic rotor blade, is selected for the research. Firstly, the SOM is employed to explore the interactions between critical performance indicators. Based on SOM analysis, a design optimization with 19 design variables is carried out to maximize the isentropic efficiency of Rotor 37 configuration with constraints prescribed on the total pressure ratio and mass flow rate. An EI-based global algorithm is programmed for above optimization process and the number of CFD evaluations needed amount to only 1/5 of that required when employing a modified differential evolution algorithm as the optimizer. Throughout the optimization the isentropic efficiency is increased by 1.74% and a subsequent analysis of the redesign reveals that the performance of the rotor blade is significantly improved. And then, the ANOVA is employed to explore the correlations among design variables and objective function as well as the constraints. It is confirmed that the shock wave has the most significant influence on the aerodynamic performance of transonic rotor blades, the combination of proper 2D section profiles and 3D radial stacking is effective for improving the performance of rotor blade. Meanwhile, isentropic efficiency and total pressure ratio of transonic compressor blade is found to be in slight trade-off relation due to the effect of 3D sweep in tip sections. Furthermore, an ANOVA-based optimization strategy is tried, which can obtain remarkable optimal designs with much less computational resource. On a whole, it's demonstrated that the meta-model based design optimization strategy by coupling data mining techniques is promising for solving HEB problems like the design of turbomachinery cascades. Copyright 2015 by ASME. AU - Guo, Zhendong AU - Song, Liming AU - Li, Jun AU - Li, Guojun AU - Feng, Zhenping C3 - ASME Turbo Expo 2015: Turbine Technical Conference and Exposition, GT 2015, June 15, 2015 - June 19, 2015 DA - 2015 DO - 10.1115/GT2015-42554 KW - Analysis of variance (ANOVA) Cascades (fluid mechanics) Computational fluid dynamics Conformal mapping data mining Design Economic and social effects Efficiency Evolutionary algorithms Gas turbines Machine design NASA Optimization Rotors Self organizing maps Shock waves turbines Turbomachine blades Turbomachinery N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Society of Mechanical Engineers (ASME) PY - 2015 SP - International-Gas Turbine Institute ST - Research on meta-model based global design optimization and data mining methods T3 - Proceedings of the ASME Turbo Expo TI - Research on meta-model based global design optimization and data mining methods UR - http://dx.doi.org/10.1115/GT2015-42554 http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2428029 VL - 2C ID - 1850 ER - TY - CONF AB - If we full and effective use of the Web on the distribution of a large number of traffic security information, and then it can provide people with integrated safety professional, personalized information services. In order to quickly retrieve traffic security information resources, description method for the metadata of traffic security information resources is proposed combined with the Dublin Core Metadata. Meanwhile, we design meta database of largescale traffic security information and study metadata extraction. 2010 IEEE. AU - Zhang, Jihong AU - Chen, Xiaoquan C3 - 2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010 DA - 2010 DO - 10.1109/ICINA.2010.5636957 KW - Information analysis Information services Metadata security of data N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 SP - V297-V299 ST - Research on metadata extraction of traffic security information T3 - ICINA 2010 - 2010 International Conference on Information, Networking and Automation, Proceedings TI - Research on metadata extraction of traffic security information UR - http://dx.doi.org/10.1109/ICINA.2010.5636957 VL - 2 ID - 637 ER - TY - JOUR AB - Optimization based pattern discovery has emerged as an important field in knowledge discovery and data mining (KDD), and has been used to enhance the efficiency and accuracy of clustering, classification, association rules and outlier detection. Cluster analysis, which identifies groups of similar data items in large datasets, is one of its recent beneficiaries. The increasing complexity and large amounts of data in the datasets have seen data clustering emerge as a popular focus for the application of optimization based techniques. Different optimization techniques have been applied to investigate the optimal solution for clustering problems. Swarm intelligence (SI) is one such optimization technique whose algorithms have successfully been demonstrated as solutions for different data clustering domains. In this paper we investigate the growth of literature in SI and its algorithms, particularly Particle Swarm Optimization (PSO). This paper makes two major contributions. Firstly, it provides a thorough literature overview focusing on some of the most cited techniques that have been used for PSO-based data clustering. Secondly, we analyze the reported results and highlight the performance of different techniques against contemporary clustering techniques. We also provide an brief overview of our PSO-based hierarchical clustering approach (HPSO-clustering) and compare the results with traditional hierarchical agglomerative clustering (HAC), K-means, and PSO clustering. 2014 Elsevier B.V. AU - Alam, Shafiq AU - Dobbie, Gillian AU - Koh, Yun Sing AU - Riddle, Patricia AU - Ur Rehman, Saeed DA - 2014 DO - 10.1016/j.swevo.2014.02.001 J2 - Swarm and Evolutionary Computation KW - artificial intelligence Cluster Analysis Clustering algorithms data mining Particle swarm optimization (PSO) L1 - internal-pdf://3289099772/Alam-2014-Research on particle swarm optimizat.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 22106502 SP - 1-13 ST - Research on particle swarm optimization based clustering: A systematic review of literature and techniques T2 - Swarm and Evolutionary Computation TI - Research on particle swarm optimization based clustering: A systematic review of literature and techniques UR - http://dx.doi.org/10.1016/j.swevo.2014.02.001 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S2210650214000145/1-s2.0-S2210650214000145-main.pdf?_tid=4d4d9b5a-832c-11e6-ab2b-00000aacb361&acdnat=1474813878_66172105621e47da9a8df677900ef638 VL - 17 ID - 1304 ER - TY - JOUR AB - Faceted navigation is a widely used information space navigation technology, but faceted interfaces are manually constructed by experience, and lack evaluation system. Considering the semantic constraint of RDF metadata, a conversion method from RDF data model to the relational database is proposed, which includes two steps; mining the suitable predicates as facets using statistical analysis; utilizing the hierarchical clustering algorithm to obtain the properties that are not extracted in the process of statistical analysis. Experimental evaluation shows that this method can not only effectively get the RDF properties that are suitable for navigation without changing the semantic constraint, but also raise the efficiency of search. AU - Wang, Li AU - Gao, Zhong-li DA - 2010/03// DO - 10.3778/j.issn.1002-8331.2010.09.037 IS - 9 J2 - Computer Engineering and Applications KW - data mining information retrieval meta data pattern clustering relational databases Semantic Web statistical analysis PY - 2010 SN - 1002-8331 SP - 130-3 ST - Research on persistence of RDF data based on faceted navigation T2 - Computer Engineering and Applications TI - Research on persistence of RDF data based on faceted navigation UR - http://dx.doi.org/10.3778/j.issn.1002-8331.2010.09.037 VL - 46 ID - 1223 ER - TY - CONF AB - In order to solve the problem that we can only collect data from one single data source at some fixed time after mining the keywords in a rather superficial level, and to take full use of the information returned by search engines to construct the social relationship network based on the semantic link of the searched subject, we do the regular research by using the ROST Content Mining System which helps to undergo the process of page monitoring, content analysis and social network mining based on the pages returned from the four search engines (Google, Baidu, Sougou and Youdao). In the mining process, we adopt the cross-page framework adaptive algorithm which helps to solve the instability problem of the HTML framework codes, to extract information from the acquired web pages. Then we extract the cooccurrence set of high-frequency characteristic words to create the tridimensional social network graph by adopting the progressive search algorithm in the meta-search engine to extend the attribute set of the keywords. Finally, we conducted three typical case studies. They are the comparison of the coverage rate between Google and the meta-search engine, the dynamic changes in real-time network based on the meta-search engine and the progressive mining of effective content in meta-search engine, which all showed the advantages of the method in which we proposed the meta-search engine, as we could have more data sources, stronger real-time dynamic monitoring capacity, and deeper progressive searching ability. So we propose this meta-search engine method which can be used in social network study, aiming to develop the quality of the social network based on content mining, observe the hiding relationships in deeper levels and widen the research scope of content mining. 2009 IEEE. AU - Shen, Yang AU - Liu, Zi-Tao AU - Luo, Cheng AU - Li, Ye C3 - 2009 6th Web Information Systems and Applications Conference, WISA 2009, September 18, 2009 - September 20, 2009 DA - 2009 DO - 10.1109/WISA.2009.21 KW - Adaptive algorithms Engines information retrieval Information systems Learning algorithms mining Patient monitoring Research Search Engines World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2009 SP - 179-183 ST - Research on social network based on meta-search engine T3 - 2009 6th Web Information Systems and Applications Conference, WISA 2009 TI - Research on social network based on meta-search engine UR - http://dx.doi.org/10.1109/WISA.2009.21 ID - 1670 ER - TY - CONF AB - Business strategic decision making is designed to predict and analysis the future plan of the enterprise based on the situation now and the past. It plays an important role in the success or failure of the enterprise. Extracting the key factors in many elements that affect the enterprises' strategic decision making will help the company make the reasonable and effective decision, even the long-term development of the enterprise. The association rules mining can analyze the connection relationship and the causality in many factors. Among the numerous association rules mining methods, we choose the Apriori algorithm. Apriori Algorithm is one of the basic Association Rules Mining. It can reach a correlation between different properties through analyzing attribute value in group of affairs. Based on the balance score card (BSC), we choose five candidate factors that affect the strategic decision in three areas including the customer, the internal operational process and the study innovation. First of all, we sort out the data that based on the practice survey. Secondly, we find out the association between these factors with Apriori and the last we reach a conclusion that the enterprise innovation has a direct influence to the corporate reputation. This experiment which is of great practicability is an application of Apriori in enterprise decision and provides a good assistance for enterprise in strategic decision making. 2012 IEEE. AU - Peng, Yan AU - Zhou, Tian C3 - 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012, October 30, 2012 - November 1, 2012 DA - 2012 DO - 10.1109/CCIS.2012.6664374 KW - cloud computing Industry Learning algorithms mining N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 90-93 ST - Research on the Apriori algorithm in extracting the key factor T3 - Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 TI - Research on the Apriori algorithm in extracting the key factor UR - http://dx.doi.org/10.1109/CCIS.2012.6664374 VL - 1 ID - 694 ER - TY - CONF AB - Opinionated content in Blog comments usually has a positive or a negative or a neutral connotation. This paper researches on the automatic evaluation of Blog comments on merchandise. It builds a meta-search engine for retrieving Blog pages with merchandise comments. The retrieved pages are parsed; the comment texts are drawn out and serve as resources for corpus. By means of feature extraction and polarity analysis, these comments text are represented with SVM. In polarity analyzing, a dictionary of merchandise attributes and a lexicon of positive and negative words are constructed to improve the accuracy. The average score of specific product is calculated based on the polarity score of each merchandise attribute and the percentage of people who gives positive comment. We build a prototype system AESBC and conduct comparison study between the result of our experimental system and that of field experts. The experimental result shows the effectiveness of our method. 2010 IEEE. AU - Qian, Liping AU - Yang, Xiaoping AU - Wang, Lidong C3 - 2010 International Conference on Web Information Systems and Mining, WISM 2010, October 23, 2010 - October 24, 2010 DA - 2010 DO - 10.1109/WISM.2010.57 KW - Blogs feature extraction Search Engines Semantics World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 SP - 293-296 ST - Research on the automatic evaluation of merchandise comments on blogs T3 - Proceedings - 2010 International Conference on Web Information Systems and Mining, WISM 2010 TI - Research on the automatic evaluation of merchandise comments on blogs UR - http://dx.doi.org/10.1109/WISM.2010.57 VL - 1 ID - 828 ER - TY - BOOK AB - To enhance the effectiveness and efficiency in the virtual laboratory management; a VLIMS (Virtual Laboratory Information Management System) is needed. A meta-model and architecture for the VLIMS was discussed. The meta-model consisted of 6 basic entities. Using an expanded Web Services description and search process, the architecture assembled the experimental workflow management of multi-heterogeneous system and supported data mining process, based on the metadata repository. The schema integration and evolution operation were analyzed, in order to implement schema matching and version management. The financial business example of Web Services composition showed the services configuration and metadata function. AU - Pan, Ding DA - 2008 PY - 2008 SN - 978-1-4244-2113-8 ST - Research on Virtual Laboratory Information Management based on Metadata TI - Research on Virtual Laboratory Information Management based on Metadata ID - 2111 ER - TY - JOUR AU - Porter, Alan AU - Kongthon, Alisa AU - Lu, Jye-Chyi DA - 2002 DP - Google Scholar IS - 3 PY - 2002 SP - 351-370 ST - Research profiling T2 - Scientometrics TI - Research profiling: Improving the literature review UR - http://www.akademiai.com/doi/pdf/10.1023/A%3A1014873029258 VL - 53 Y2 - 2016/09/24/15:33:48 ID - 2318 ER - TY - JOUR AB - It is necessary to develop and utilize the coal-derived gas resource in Hubei province,as the economy growing and the energy shortening of the province. 3 sets of coal series are mainly grown in Hubei province. They are Liangshan stage of Early Permian series, Longtan stage of late Permian series and Xiangxi stage of Early Jurassic-Late Triassic series. The meta-morphic grade is high and the gas production is big for the coal rock of Liangshan and longtan stages in which there is great coal bed gas mainly with absorption way. The coal quality of Xiangxi stage is not good and stable but the coal appears dark mud, well develops shale and has high evolution level, which is favorable to create coal-derived gas. The results from resource predication indicate the coal-bed gas distributes mainly in the mine districts such as Huangshi,Puxi,Changyang,Jingdang etc. and the coal-derived gas mainly in Dangyang synclinorium. After comprehensive analysis, we suggest to take Shuangqiujingtian of Puxi Mine District as the pilot for development testing of coal-bed gas. AU - Liu, Sa AU - Xu, Zhengyu AU - Pu, Xiugang AU - Shi, Qingwen DA - 2003 IS - 2 J2 - Tianranqi Gongye/Natural Gas Industry KW - Absorption Coal Coal mines Natural gas Natural gas well production Shale N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2003 SN - 10000976 SP - 23-26+2-3 ST - Resource predication of coal-bed (derived) gas in Hubei province T2 - Tianranqi Gongye/Natural Gas Industry TI - Resource predication of coal-bed (derived) gas in Hubei province VL - 23 ID - 594 ER - TY - JOUR AB - Drosophila melanogaster has become a system of choice for functional genomic studies. Many resources, including online databases and software tools, are now available to support design or identification of relevant fly stocks and reagents or analysis and mining of existing functional genomic, transcriptomic, proteomic, etc. datasets. These include large community collections of fly stocks and plasmid clones, meta information sites like FlyBase and FlyMine, and an increasing number of more specialized reagents, databases, and online tools. Here, we introduce key resources useful to plan large-scale functional genomics studies in Drosophila and to analyze, integrate, and mine the results of those studies in ways that facilitate identification of highest-confidence results and generation of new hypotheses. We also discuss ways in which existing resources can be used and might be improved and suggest a few areas of future development that would further support large- and small-scale studies in Drosophila and facilitate use of Drosophila information by the research community more generally. AU - Mohr, Stephanie E. AU - Hu, Yanhui AU - Kim, Kevin AU - Housden, Benjamin E. AU - Perrimon, Norbert DA - 2014/05// DO - 10.1534/genetics.113.154344 IS - 1 PY - 2014 SN - 0016-6731 SP - 1-18 ST - Resources for Functional Genomics Studies in Drosophila melanogaster T2 - Genetics TI - Resources for Functional Genomics Studies in Drosophila melanogaster VL - 197 ID - 2223 ER - TY - JOUR AU - Doshi, Peter AU - Jones, Mark AU - Jefferson, Tom DA - 2012 J2 - BMJ KW - *Access to Information *Meta-Analysis as Topic *Review Literature as Topic Clinical Trials as Topic/standards data mining Health Policy Humans Influenza, Human/drug therapy Oseltamivir/therapeutic use Publication Bias Publishing/*standards L1 - internal-pdf://1907895021/Doshi-2012-Rethinking credible evidence synthe.pdf LA - eng PY - 2012 SN - 1756-1833 0959-535X SP - d7898 ST - Rethinking credible evidence synthesis T2 - BMJ (Clinical research ed.) TI - Rethinking credible evidence synthesis UR - http://www.bmj.com/content/bmj/344/bmj.d7898.full.pdf VL - 344 ID - 36 ER - TY - CONF AB - The management of safety is marked by strong procedural features and permanent adjustments of social actors to situations. Focusing on these two noticeable aspects of its operational reality, we propose to go hunting for new food for thought: rethinking safety management in the light of the meta-concept of injunction. In order to understand the nature of safety injunction, we will analyze it through two approaches: a scientific one and a philosophical one. As a mass communication device triggering heteronomy to its receivers, safety injunction appears as a basis for safety management concepts. So one can note that safety injunction is a meta-concept to talk about safety. But philosophy and sciences do not insist on the same aspects of this meta-concept. Philosophy analysis leads us to think that safety injunction is linked to a model and introduce new elements in it through experience while a scientific point of view is more focused on safety injunction output with some cause-effect pathways dealing with struggles for power at organizational and social scales. However, as scientific safety injunction analysis also implies normativity and subjects' perceptions issues in its scale tension showing the difficulty to master safety injunction. That is why; one can conclude that safety injunction cannot be separated either from practice or experience. This interesting result not only helps to define safety injunction but is also an important parameter to be considered in the design of an appropriate methodology. In order to deploy and animate risk prevention measures, the nuclear industry mainly uses injunctions for safety which are practically based on the rise of expectations projected on to a unit from outside (Boussard, Demaziere Milburn 2010). The aim of this article is to define injunction as a meta-concept for safety management, that is to say a concept aiming to provide the firm grounds to a language attempting to talk about scientific concepts while discovering their meaning (Lacour 2005). First, we will define injunction around safety through a scientific and philosophical approach. Then we will analyze its impacts at a social and organizational level and the consequences lead on safety management in high risk organizations. On the one hand this will lead to notice the interest to consider injunction as a meta-concept for safety management, but, on the other hand, this will underline the necessity not to reify injunction that is to say disregarding the role of its experience in the field provided. 2015 Taylor Francis Group. AU - Agulhon, S. AU - Pecaud, D. AU - Guarnieri, F. C3 - European Safety and Reliability Conference, ESREL 2014, September 14, 2014 - September 18, 2014 DA - 2015 KW - Nuclear industry ontology Philosophical aspects reliability Risk Assessment Safety engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - CRC Press/Balkema PY - 2015 SP - 615-620 ST - Rethinking nuclear safety management: Injunction as a meta-concept T3 - Safety and Reliability: Methodology and Applications - Proceedings of the European Safety and Reliability Conference, ESREL 2014 TI - Rethinking nuclear safety management: Injunction as a meta-concept ID - 1286 ER - TY - JOUR AB - OBJECTIVES: Locating overviews of systematic reviews is difficult because of an absence of appropriate indexing terms and inconsistent terminology used to describe overviews. Our objective was to develop a validated search strategy to retrieve overviews in MEDLINE. STUDY DESIGN AND SETTING: We derived a test set of overviews from the references of two method articles on overviews. Two population sets were used to identify discriminating terms, that is, terms that appear frequently in the test set but infrequently in two population sets of references found in MEDLINE. We used text mining to conduct a frequency analysis of terms appearing in the titles and abstracts. Candidate terms were combined and tested in MEDLINE in various permutations, and the performance of strategies measured using sensitivity and precision. RESULTS: Two search strategies were developed: a sensitivity-maximizing strategy, achieving 93% sensitivity (95% confidence interval [CI]: 87, 96) and 7% precision (95% CI: 6, 8), and a sensitivity-and-precision-maximizing strategy, achieving 66% sensitivity (95% CI: 58, 74) and 21% precision (95% CI: 17, 25). CONCLUSION: The developed search strategies enable users to more efficiently identify overviews of reviews compared to current strategies. Consistent language in describing overviews would aid in their identification, as would a specific MEDLINE Publication Type. AU - Lunny, Carole AU - McKenzie, Joanne E. AU - McDonald, Steve DA - 2016/06//undefined DO - 10.1016/j.jclinepi.2015.12.002 J2 - J Clin Epidemiol KW - Medline Overviews of systematic reviews Search filter Search strategy design Sensitivity text mining LA - eng PY - 2016 SN - 1878-5921 0895-4356 SP - 107-118 ST - Retrieval of overviews of systematic reviews in MEDLINE was improved by the development of an objectively derived and validated search strategy T2 - Journal of clinical epidemiology TI - Retrieval of overviews of systematic reviews in MEDLINE was improved by the development of an objectively derived and validated search strategy VL - 74 ID - 88 ER - TY - JOUR AB - BACKGROUND: Full-text searches of articles increase the recall, defined by the proportion of relevant publications that are retrieved. However, this method is rarely used in medical research due to resource constraints. For the purpose of a systematic review of publications addressing shared decision making, a full-text search method was required to retrieve publications where shared decision making does not appear in the title or abstract. OBJECTIVE: The objective of our study was to assess the efficiency and reliability of full-text searches in major medical journals for identifying shared decision making publications. METHODS: A full-text search was performed on the websites of 15 high-impact journals in general internal medicine to look up publications of any type from 1996-2011 containing the phrase "shared decision making". The search method was compared with a PubMed search of titles and abstracts only. The full-text search was further validated by requesting all publications from the same time period from the individual journal publishers and searching through the collected dataset. RESULTS: The full-text search for "shared decision making" on journal websites identified 1286 publications in 15 journals compared to 119 through the PubMed search. The search within the publisher-provided publications of 6 journals identified 613 publications compared to 646 with the full-text search on the respective journal websites. The concordance rate was 94.3% between both full-text searches. CONCLUSIONS: Full-text searching on medical journal websites is an efficient and reliable way to identify relevant articles in the field of shared decision making for review or other purposes. It may be more widely used in biomedical research in other fields in the future, with the collaboration of publishers and journals toward open-access data. AU - Blanc, Xavier AU - Collet, Tinh-Hai AU - Auer, Reto AU - Iriarte, Pablo AU - Krause, Jan AU - Legare, France AU - Cornuz, Jacques AU - Clair, Carole DA - 2015 DO - 10.2196/resprot.3615 IS - 2 J2 - JMIR Res Protoc KW - decision making full-text search Information storage and retrieval PubMed shared decision making systematic reviews text mining LA - eng PY - 2015 SN - 1929-0748 1929-0748 SP - e38 ST - Retrieval of publications addressing shared decision making: an evaluation of full-text searches on medical journal websites T2 - JMIR research protocols TI - Retrieval of publications addressing shared decision making: an evaluation of full-text searches on medical journal websites VL - 4 ID - 234 ER - TY - JOUR AB - Understanding time-course regulation of genes in response to a stimulus is a major concern in current systems biology. The problem is usually approached by computational methods to model the gene behaviour or its networked interactions with the others by a set of latent parameters. The model parameters can be estimated through a meta-analysis of available data obtained from other relevant experiments. The key question here is how to find the relevant experiments which are potentially useful in analysing current data. In this study, the authors address this problem in the context of time-course gene expression experiments from an information retrieval perspective. To this end, they introduce a computational framework that takes a time-course experiment as a query and reports a list of relevant experiments retrieved from a given repository. These retrieved experiments can then be used to associate the environmental factors of query experiment with the findings previously reported. The model is tested using a set of time-course Arabidopsis microarrays. The experimental results show that relevant experiments can be successfully retrieved based on content similarity. AU - Sener, Duygu Dede AU - Ogul, Hasan DA - 2016/06// DO - 10.1049/iet-syb.2015.0042 IS - 3 PY - 2016 SN - 1751-8849 SP - 87-93 ST - Retrieving relevant time-course experiments: a study on Arabidopsis microarrays T2 - Iet Systems Biology TI - Retrieving relevant time-course experiments: a study on Arabidopsis microarrays VL - 10 ID - 1934 ER - TY - JOUR AB - The rapid expansion of biomedical literature has provoked an increased development of advanced text mining tools to rapidly extract relevant events from the continuously increasing amount of knowledge published periodically in PubMed. However, bioinvestigators are still reluctant to use these tools for two reasons: i) a large volume of events is often extracted upon a query, and this volume is hard to manage, and ii) background events dominate search results and overshadow more pertinent published information, especially for domain experts. In this paper, we propose an approach that incorporates the temporal dimension of published events to the process of information extraction to improve data selection and prioritize more pertinent periodically published knowledge for scientists. Indeed, instead of providing the total knowledge associated with a PubMed query, which is usually a mix of trivial background information and non-background information, we propose a method that incorporates time and selects non background and highly relevant biological entities and events published over time for bioinvestigators. Before excluding background events from the total knowledge extracted, a quantification of their amount is also provided. This work is illustrated by a case study regarding Hepcidin gene publications over a decade, a duration that is sufficiently long enough to generate alternative views on the overall data extracted. AU - Ameline de Cadeville, Bertrand AU - Loreal, Olivier AU - Moussouni-Marzolf, Fouzia DA - 2015 DO - 10.2390/biecoll-jib-2015-275 IS - 3 J2 - J Integr Bioinform LA - eng PY - 2015 SN - 1613-4516 1613-4516 SP - 275 ST - RetroMine, or how to provide in-depth retrospective studies from Medline in a glance: the hepcidin use-case T2 - Journal of integrative bioinformatics TI - RetroMine, or how to provide in-depth retrospective studies from Medline in a glance: the hepcidin use-case VL - 12 ID - 254 ER - TY - JOUR AB - The increasing realization that many existing drugs do indeed provide opportunities for additional therapeutic indications suggests we should not only be alert for this potential among marketed drugs but also within the pool of developmental drugs, of which (owing to attrition) there are many more examples in existence. We present examples of drug repurposing by retrospective clinical trial analysis and suggest that this strategy presents a promising way of rescuing failed developmental candidates. We contend that the commercial barriers to successful drug rescue are less problematic than for drug repurposing. We indicate practical means for mining data from past clinical trials, either for new indications or for specific patient groups. AU - Cavalla, David AU - Singal, Chaim DA - 2012/02// DO - 10.1016/j.drudis.2011.09.019 IS - 3-4 L1 - internal-pdf://2009726312/Cavalla-2012-Retrospective clinical analysis f.pdf PY - 2012 SN - 1359-6446 SP - 104-109 ST - Retrospective clinical analysis for drug rescue: for new indications or stratified patient groups T2 - Drug Discovery Today TI - Retrospective clinical analysis for drug rescue: for new indications or stratified patient groups UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1359644611003199/1-s2.0-S1359644611003199-main.pdf?_tid=0cfa7b0a-8330-11e6-81a5-00000aab0f6b&acdnat=1474815488_2817cbcec7b39a231a224975f6e08926 VL - 17 ID - 2245 ER - TY - JOUR AB - Chrysotile, a serpentine asbestos fibre, is the only type of asbestos produced and consumed in the world today. It is an established human carcinogen. We have begun fieldwork on a retrospective cohort study of employees of one of the world's largest chrysotile mine and mills, situated in Asbest, Russia. The primary aim of the study is to better characterize and quantify the risk of cancer mortality in terms of (i) the dose-response relationship of exposure with risk; (ii) the range of cancer sites affected, including female-specific cancers; and (iii) effects of duration of exposure and latency periods. This information will expand our understanding of the scale of the impending cancer burden due to chrysotile, including if chrysotile use ceased worldwide forthwith. Herein we describe the scientific rationale for conducting this study and the main features of its study design. (C) 2013 Elsevier Ltd. All rights reserved. AU - Schuez, J. AU - Schonfeld, S. J. AU - Kromhout, H. AU - Straif, K. AU - Kashanskiy, S. V. AU - Kovalevskiy, E. V. AU - Bukhtiyarov, I. V. AU - McCormack, V. DA - 2013/08// DO - 10.1016/j.canep.2013.03.001 IS - 4 PY - 2013 SN - 1877-7821 SP - 440-445 ST - A retrospective cohort study of cancer mortality in employees of a Russian chrysotile asbestos mine and mills: Study rationale and key features T2 - Cancer Epidemiology TI - A retrospective cohort study of cancer mortality in employees of a Russian chrysotile asbestos mine and mills: Study rationale and key features VL - 37 ID - 2214 ER - TY - CONF AB - We propose a mechanism, as well as an implemented prototype system, that can be used to support searching and reusing of learning objects. This paper discusses part of the hard SCORM project developed in Taiwan to support asynchronized distance learning. We developed a SCORM 2004 compliant authoring tool and a LMS. The authoring tool is associated with a metadata wizard to help users to build metadata, which can be used while learning objects are searched and reused. The underlying repository to store learning objects is constructed based on the architecture defined as CORDRA. We integrate the authoring tool, the LMS, and the repository as a total solution to SCORM-based distance learning. The discussion has a focus on the analysis of metadata wizard as well as the analysis of IEEE LOM. The MINE registry serves as an instance of CORDRA-based repository is also discussed. AU - Shih, T. K. AU - Chin-Chen, Chang AU - Lin, H. W. C3 - Advances in Web Based Learning - ICWL 2006. 5th International Conference. Revised Papers, 19-21 July 2006 DA - 2006 KW - Computer aided instruction Distance learning distributed object management Internet meta data PB - Springer-Verlag PY - 2006 SP - 203-14 ST - Reusability on learning object repository T3 - Advances in Web Based Learning - ICWL 2006. 5th International Conference. Revised Papers (Lecture Notes in Computer Science Vol. 4181) TI - Reusability on learning object repository ID - 761 ER - TY - CONF AB - The widespread use of graphical user interfaces (GUIs) makes the GUIs construction more and more complicated. It makes the GUIs testing become a challenging problem. In this paper, a framework of component-based library (CBL) for GUI regression testing is proposed. Test components, which encapsulate associated properties, operations and meta-information, are defined as reusable object. Three key processes of CBL are introduced in detail. The first process is the CBL organization structure based on message mechanism. The second process is the test components regeneration guidelines for GUI testing. The third process is to divide test procedure into several phases to improve the testing efficiency. The phases include message segment capture phase, component abstract phase, regenerate test component phase and component-driven testing phase. Experimental results show that CBL model can performance well and the proposed reusable component for GUI regression testing can regenerate a large number of test cases automatically and efficiently. AU - Hao, Chen AU - Beiji, Zou AU - Naizheng, Bian AU - Lili, Pan C3 - 2008 Workshop on Knowledge Discovery and Data Mining (WKDD '08), 23-24 Jan. 2008 DA - 2008 DO - 10.1109/WKDD.2008.79 KW - Graphical user interfaces object-oriented programming Regression Analysis PB - IEEE Computer Society PY - 2008 SP - 326-9 ST - A reusable component-based library for GUI regression testing T3 - 2008 Workshop on Knowledge Discovery and Data Mining (WKDD '08) TI - A reusable component-based library for GUI regression testing UR - http://dx.doi.org/10.1109/WKDD.2008.79 ID - 794 ER - TY - CONF AB - Advances in information technology contributed powerful tools for the development of scientific applications. Today scientists routinely exploit data mining and analysis tools, visualization tools, and increasingly leverage database and workflow management systems. Some of these tools run out-of-the-box, others require customization. But when it comes to metadata management, there is very little reusable technology that scientists can draw upon. Manipulating metadata, such as database schemas, taxonomies, interface definitions, and mappings between them, requires tedious object-at-a-time programming and in-depth database expertise. This problem is symptomatic across other data-intensive domains, including enterprise information management, healthcare, and financial applications. Recently, researchers embarked on factoring out common metadata management operations and packaging them as reusable tools that offer a higher-level abstraction for solving metadata problems. Examples of such operations are creating a mapping between two schemas, composing two mappings, and translating a schema from one metamodel (e.g., object-oriented or XML) to another metamodel (e.g., relational). Building such reusable tools has been an uphill battle. Some major challenges include Factoring metadata operations and nailing down their formal semantics Coping with the diversity of data models and data transformation languages Developing practical algorithms Managing very large schemas and mappings Designing user interfaces that can be plugged into different applications Overcoming general software engineering issues with code reuse In this talk I will attempt to draw a big picture, highlight the challenges, and outline some ongoing efforts. 2006 IEEE. AU - Melnik, Sergey C3 - 18th International Conference on Scientific and Statistical Database Management, SSDBM 2006, July 3, 2006 - July 5, 2006 DA - 2006 DO - 10.1109/SSDBM.2006.43 KW - Administrative data processing applications Computer software reusability Database systems data structures Data visualization Decision support systems Health Information Management Information theory Knowledge management Management Management information systems Markup languages Mathematical transformations Metadata Models Search Engines Semantics software engineering Statistical methods Statistics TOOLS User interfaces Work simplification N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2006 SN - 10993371 SP - 191 ST - Reusable tools for metadata management - Pie in the sky? T3 - Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM TI - Reusable tools for metadata management - Pie in the sky? UR - http://dx.doi.org/10.1109/SSDBM.2006.43 ID - 790 ER - TY - CONF AB - Subspace clustering is one of the best approaches for discovering meaningful clusters in high dimensional space. One cluster in high dimensional space may be transcribed into multiple distinct maximal clusters by projecting onto different subspaces. A direct consequence of clustering independently in each subspace is an overwhelmingly large set of overlapping clusters which may be significantly similar. To reveal the true underlying clusters, we propose a similarity measurement of the overlapping clusters. We adopt the model of Gaussian tailed hyper-rectangles to capture the distribution of any subspace cluster. A set of experiments on a synthetic dataset demonstrates the effectiveness of our approach. Application to real gene expression data also reveals impressive meta-clusters expected by biologists. AU - Jinze, Liu AU - Strohmaier, K. AU - Wei, Wang C3 - Fourth IEEE International Conference on Data Mining, 1-4 Nov. 2004 DA - 2004 KW - Gaussian processes pattern clustering statistical analysis PB - IEEE Comput. Soc. PY - 2004 SP - 463-6 ST - Revealing true subspace clusters in high dimensions T3 - Fourth IEEE International Conference on Data Mining TI - Revealing true subspace clusters in high dimensions ID - 879 ER - TY - CONF AB - Metamodels are widely used during the design process in place of expensive simulation models when computationally efficiency is imperative. Non-Uniform Rational B-Splines (NURBs) based metamodels have proven to be an effective modeling technique. Although metamodels can reduce the computation expense of design analysis and optimization, the sampling methods used to create the metamodels also play an imperative role in the computational efficiency and overall model quality. The research presented in this paper reviews various adaptive sampling criteria and methods and evaluates the different methods to determine the best sampling technique for the development of NURBs-based metamodels. 2011 by ASME. AU - Pickett, Bethany AU - Turner, Cameron J. C3 - ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011, August 28, 2011 - August 31, 2011 DA - 2011 DO - 10.1115/DETC2011-47288 KW - Computer Simulation Design Quality Control N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Society of Mechanical Engineers PY - 2011 SP - 609-618 ST - A review and evaluation of existing adaptive sampling criteria and methods for the creation of nurbs-based metamodels T3 - Proceedings of the ASME Design Engineering Technical Conference TI - A review and evaluation of existing adaptive sampling criteria and methods for the creation of nurbs-based metamodels UR - http://dx.doi.org/10.1115/DETC2011-47288 VL - 2 ID - 665 ER - TY - JOUR AU - Esteban, Jaime AU - Starr, Andrew AU - Willetts, Robert AU - Hannah, Paul AU - Bryanston-Cross, Peter DA - 2005 DP - Google Scholar IS - 4 L1 - https://www.researchgate.net/profile/Peter_Bryanston-cross/publication/220372583_A_Review_of_data_fusion_models_and_architectures_towards_engineering_guidelines/links/53cf768c0cf25dc05cfaf404.pdf PY - 2005 SP - 273-281 ST - A review of data fusion models and architectures T2 - Neural Computing & Applications TI - A review of data fusion models and architectures: towards engineering guidelines UR - http://link.springer.com/article/10.1007/s00521-004-0463-7 VL - 14 Y2 - 2016/09/24/16:07:04 ID - 2434 ER - TY - JOUR AB - OBJECTIVES: Whole-body vibration (WBV) with high level acceleration is found in the workplaces of construction and mining, and has been reported to be associated with low back pain (LBP) experienced by operators of heavy vehicles as an occupational health problem. Because the work conditions with exposure to WBV include bending and twisting of the low back and other factors, the causal relationship between WBV and LBP has not yet been affirmed. A review suggesting the dose-response relationship between WBV with low acceleration and LBP has been published, although there is little evidence supporting the causal relationship. Therefore, we reviewed the dose-response relationship between WBV with low acceleration and LBP. METHODS: We examined original articles which reported a dose-response relationship between WBV and LBP in addition to review articles with almost the same aims. RESULTS AND DISCUSSION: Studies which examined imaging findings such as CT and MRI, objective indicators of LBP, do not confirm the causal relationship. Although many studies demonstrated a positive relationship between working periods and incidence of LBP, there were very few reports which recognized a dose-response relationship for the vibration acceleration below 1.0 m/s(2) in which the 8-h energy-equivalent, combined frequency-weighted vibration of three diagonal, that is x, y and z, axes (root-sum-of-squares), Asum(8) was used as an index of vibration exposure. CONCLUSION: This paper reject the hypothesis of a dose-response relationship between WBV with low acceleration and LBP, concluding there is no evidence linking low level exposure to WBV with LBP for the Japan Society for Occupational Health to recommend 0.35 m/s(2)/as of Asum(8) as a tentative occupational exposure limits for WBV. AU - Okada, Akira AU - Nakamura, Hiroyuki DA - 2013 IS - 2 J2 - Sangyo Eiseigaku Zasshi KW - *Pain Threshold Humans Low Back Pain/epidemiology/*etiology/*physiopathology Occupational Exposure/*adverse effects Severity of Illness Index Vibration/*adverse effects LA - jpn PY - 2013 SN - 1349-533X 1341-0725 SP - 62-68 ST - [Review of dose-response relationship between low level vibration and lower back pain] T2 - Sangyo eiseigaku zasshi = Journal of occupational health TI - [Review of dose-response relationship between low level vibration and lower back pain] VL - 55 ID - 232 ER - TY - JOUR AB - Restoration of degraded land has been identified as a top research priority in conservation. Fauna plays a critical role in the re-establishment of a functional ecosystem, yet fauna recolonization of restored areas is less studied than flora. We reviewed the findings of 71 publications on fauna recolonization, through the example of mining rehabilitation in the Australian continent, a global stronghold of large-scale mining. Species densities and richness were frequently lower in rehabilitated compared to undisturbed areas, even more so when only native species were considered. Amongst all criteria used to measure success, recovery of the pre-mining fauna community composition was the hardest to achieve. Introduced species were often found in rehabilitated areas but further research is needed to determine the duration of this association. Meta-analyses of the factors influencing mining rehabilitation success for fauna revealed that fauna groups recolonized heterogeneously. Recolonization was dependent on the methods used to rehabilitate and the number of years since rehabilitation. Notably, methods combining the use of fresh topsoil with the addition of seeds and seedlings were most successful for fauna recolonization, both in term of fauna density and richness. Limitations to this review included strong biases toward certain mining companies, as well as missing data, which decreased the power of meta-analysis. Available publications did not evenly represent all fauna taxa and studies were short when compared to the time needed to re-construct whole ecosystems. We consider the development of comprehensive fauna standards for assessing rehabilitation success critical. This could be the next challenge in restoration ecology. (c) 2012 Elsevier Ltd. All rights reserved. AU - Cristescu, Romane H. AU - Frere, Celine AU - Banks, Peter B. DA - 2012/05// DO - 10.1016/j.biocon.2012.02.003 IS - 1 L1 - internal-pdf://2714788437/Cristescu-2012-A review of fauna in mine rehab.pdf PY - 2012 SN - 0006-3207 SP - 60-72 ST - A review of fauna in mine rehabilitation in Australia: Current state and future directions T2 - Biological Conservation TI - A review of fauna in mine rehabilitation in Australia: Current state and future directions UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S000632071200095X/1-s2.0-S000632071200095X-main.pdf?_tid=7466281a-8331-11e6-9011-00000aab0f26&acdnat=1474816091_df8d945b1eb01198fdc54ef1e53e44e5 VL - 149 ID - 1951 ER - TY - JOUR AU - Saeys, Yvan AU - Inza, Iñaki AU - Larrañaga, Pedro DA - 2007 DP - Google Scholar IS - 19 PY - 2007 SP - 2507-2517 ST - A review of feature selection techniques in bioinformatics T2 - bioinformatics TI - A review of feature selection techniques in bioinformatics UR - http://bioinformatics.oxfordjournals.org/content/23/19/2507.short http://bioinformatics.oxfordjournals.org/content/23/19/2507.long VL - 23 Y2 - 2016/09/24/15:32:42 ID - 2316 ER - TY - JOUR AU - Sharma, Anuj AU - Panigrahi, Prabin Kumar DA - 2013 DP - Google Scholar L1 - http://arxiv.org/pdf/1309.3944 PY - 2013 ST - A review of financial accounting fraud detection based on data mining techniques T2 - arXiv preprint arXiv:1309.3944 TI - A review of financial accounting fraud detection based on data mining techniques UR - http://arxiv.org/abs/1309.3944 Y2 - 2016/09/24/16:04:32 ID - 2417 ER - TY - JOUR AB - Extraction of gold using mercury has been a way out of poverty for millions of people in developing countries. Artisanal small-scale gold mining (ASGM) has expanded during the last decades and is often carried out under primitive conditions. Thus, workers in this industry may be exposed to high levels of mercury and suffer from toxic effects from mercury exposure. The objective of this review was to provide an outline of the studies available on elemental mercury exposure among artisanal small-scale gold miners. Searching the PubMed and Embase databases, 26 studies with a total of 3,005 exposed subjects and 442 controls across 14 different developing countries were found. Urine mercury levels were used as biomarkers of exposure. In general, the urine mercury levels were elevated and a considerable proportion of workers had urine mercury levels above existing guidelines. Exposed subjects were stratified into residents, miners, millers, smelters, and refiners, who by work task content were expected to be increasingly exposed to mercury. This group order did show a clear trend of increasing mercury levels. Mercury levels differed substantially between studies. Possible explanations include dissimilarities in gold extraction methods, use of protective devices, and selection of participants. This review provides evidence that artisanal gold miners and residents of the mining sites are exposed to mercury vapour to an extent where acute and long-term toxic effects of mercury are likely. Interventions aimed at reducing exposure and emission of mercury from ASGM are needed. AU - Kristensen, Anders Kasper Bruun AU - Thomsen, Jane Frolund AU - Mikkelsen, Sigurd DA - 2014/08// DO - 10.1007/s00420-013-0902-9 IS - 6 L1 - internal-pdf://1595371198/Kristensen-2014-A review of mercury exposure a.pdf PY - 2014 SN - 0340-0131 SP - 579-590 ST - A review of mercury exposure among artisanal small-scale gold miners in developing countries T2 - International Archives of Occupational and Environmental Health TI - A review of mercury exposure among artisanal small-scale gold miners in developing countries VL - 87 ID - 2133 ER - TY - JOUR AB - Introduction Lower extremity knee disorders, like other cumulative disorders of the body, build up over time through cumulative exposures. 2006 data from the U.S. Bureau of Labor Statistics reveal that cumulative knee disorders account for 65% of lower extremity musculoskeletal disorders and 5% of total body musculoskeletal disorders. Methods The objective of the literature review was to find papers on work-related musculoskeletal disorders (WMSDs) common to the knee region. From these, symptoms of the disorders, affected industries, and potential risk factors were assessed. Results A review of the literature divulges that knee disorders primarily consist of bursitis, meniscal lesions or tears, and osteoarthritis. Though kneeling and squatting are considered to be two of the primary risk factors correlated to these knee disorders, 12 other risk factors should also be contemplated. These 14 contributing risk factors include both occupational (extrinsic) and personal (intrinsic) variables that affect the labor industries. Example industries include mining, construction, manufacturing, and custodial services where knee bending postural activities exist as a commonality. Conclusion The understanding of the types of knee disorders, the affected occupations, and the job related risk factors will allow ergonomic practitioners and researchers to create and adjust work environments for the detection and lessening of knee work-related musculoskeletal risk. Further studies need to be conducted to (1) justify the presence of risk from certain risk factors and (2) enhance the understanding of risk factor dose-response levels and their temporal development. AN - 104942513. Language: English. Entry Date: 20101124. Revision Date: 20150820. Publication Type: Journal Article AU - Reid, C. R. AU - Bush, P. M. AU - Cummings, N. AU - McMullin, D. L. AU - Durrani, S. K. DA - 2010/12// DB - c8h DO - 10.1007/s10926-010-9242-8 DP - EBSCOhost IS - 4 J2 - Journal of Occupational Rehabilitation KW - Bursitis -- Etiology Bursitis -- Risk Factors Human Knee Knee Injuries -- Epidemiology Knee Injuries -- Etiology Knee Injuries -- Risk Factors Meniscal Injuries -- Risk Factors Musculoskeletal Diseases -- Epidemiology Musculoskeletal Diseases -- Etiology Occupational Diseases -- Epidemiology Occupational-Related Injuries -- Epidemiology Occupational-Related Injuries -- Risk Factors Occupations and Professions Osteoarthritis, Knee -- Etiology Osteoarthritis, Knee -- Risk Factors Professional Practice, Evidence-Based Systematic review N1 - research; systematic review; tables/charts. Journal Subset: Allied Health; Peer Reviewed; USA. Special Interest: Evidence-Based Practice; Occupational Therapy; Physical Therapy. NLM UID: 9202814. PY - 2010 SN - 1053-0487 SP - 489-501 ST - A Review of Occupational Knee Disorders T2 - Journal of Occupational Rehabilitation TI - A Review of Occupational Knee Disorders UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=104942513&scope=site VL - 20 ID - 405 ER - TY - JOUR AB - This review aims to summarize spatio-temporal pattern analysis approaches for crime analysis. Spatio-temporal pattern analysis is a process that obtains knowledge from geo-and-time-referenced data and creates knowledge for crime analysts. In practice, knowledge needs vary amongst different situations. In order to obtain relevant types of knowledge, different types of spatio-temporal pattern analysis approaches should be used. However, there is a lack of related systematic review which discussed how to obtain related knowledge from different types of spatio-temporal crime pattern. This paper summarizes spatio-temporal patterns into five major categories: (i) spatial pattern, (ii) temporal pattern, (iii) frequent spatio-temporal pattern, (iv) unusual spatio-temporal pattern and (v) spatio-temporal effect due to intervention. In addition, we also discuss what knowledge could be obtained from these patterns, and what corresponding approaches, including various data mining techniques, could be used to find them. The works of this paper could provide a reference for crime analysts to select appropriate spatio-temporal pattern analysis approaches according to their knowledge needs. AU - Leong, Kelvin AU - Sung, Anna DA - 2015 IS - 9 PY - 2015 SN - 1988-7949 SP - 1 ST - A review of spatio-temporal pattern analysis approaches on crime analysis T2 - International E-Journal of Criminal Sciences TI - A review of spatio-temporal pattern analysis approaches on crime analysis ID - 1999 ER - TY - JOUR AB - The wealth of complementary data available from remote sensing missions can hugely aid efforts towards accurately determining land use and quantifying subtle changes in land use management or intensity. This study reviewed 112 studies on fusing optical and radar data, which offer unique spectral and structural information, for land cover and use assessments. Contrary to our expectations, only 50 studies specifically addressed land use, and five assessed land use changes, while the majority addressed land cover. The advantages of fusion for land use analysis were assessed in 32 studies, and a large majority (28 studies) concluded that fusion improved results compared to using single data sources. Study sites were small, frequently 300-3000 km2or individual plots, with a lack of comparison of results and accuracies across sites. Although a variety of fusion techniques were used, pre-classification fusion followed by pixel-level inputs in traditional classification algorithms (e.g., Gaussian maximum likelihood classification) was common, but often without a concrete rationale on the applicability of the method to the land use theme being studied. Progress in this field of research requires the development of robust techniques of fusion to map the intricacies of land uses and changes therein and systematic procedures to assess the benefits of fusion over larger spatial scales. 2016 by the authors; licensee MDPI, Basel, Switzerland. AU - Joshi, Neha AU - Baumann, Matthias AU - Ehammer, Andrea AU - Fensholt, Rasmus AU - Grogan, Kenneth AU - Hostert, Patrick AU - Jepsen, Martin Rudbeck AU - Kuemmerle, Tobias AU - Meyfroidt, Patrick AU - Mitchard, Edward T. A. AU - Reiche, Johannes AU - Ryan, Casey M. AU - Waske, Bjorn DA - 2016 DO - 10.3390/rs8010070 IS - 1 J2 - Remote Sensing KW - artificial intelligence data fusion data mining decision trees Land use Learning systems Maximum likelihood Pixels Radar REMOTE SENSING synthetic aperture radar L1 - internal-pdf://0649022765/Joshi-2016-A review of the application of opti.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 20724292 ST - A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring T2 - Remote Sensing TI - A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring UR - http://dx.doi.org/10.3390/rs8010070 http://www.mdpi.com/2072-4292/8/1/70/pdf VL - 8 ID - 1468 ER - TY - JOUR AB - BACKGROUND: Established on 1 June 2005, the University Hospital Medical Information Network Clinical Trials Registry (UMIN-CTR) is the largest clinical trial registry in Japan, and joined the World Health Organization (WHO) registry network in October 2008. Our aim was to understand the registration trend and overall characteristics of Japan domestic, academic (non-industry-funded) clinical trials, which constitute the main body of registrations in UMIN-CTR. In addition, we aimed to investigate the accessibility of clinical trials in AU - Tang, Wentao AU - Fukuzawa, Manabu AU - Ishikawa, Hirono AU - Tsutani, Kiichiro AU - Kiuchi, Takahiro DA - 2013 DO - 10.1186/1745-6215-14-333 J2 - Trials KW - *Access to Information *Clinical Trials as Topic *Databases, Factual *Hospitals, University *Registries Comparative Effectiveness Research data mining Humans Japan Language Time Factors Treatment Outcome LA - eng PY - 2013 SN - 1745-6215 1745-6215 SP - 333 ST - Review of the registration of clinical trials in UMIN-CTR from 2 June 2005 to 1 June 2010 - focus on Japan domestic, academic clinical trials T2 - Trials TI - Review of the registration of clinical trials in UMIN-CTR from 2 June 2005 to 1 June 2010 - focus on Japan domestic, academic clinical trials VL - 14 ID - 318 ER - TY - JOUR AU - Wu, Wen-Hsiung AU - Wu, Yen-Chun Jim AU - Chen, Chun-Yu AU - Kao, Hao-Yun AU - Lin, Che-Hung AU - Huang, Sih-Han DA - 2012 DP - Google Scholar IS - 2 PY - 2012 SP - 817-827 ST - Review of trends from mobile learning studies T2 - Computers & Education TI - Review of trends from mobile learning studies: A meta-analysis UR - http://www.sciencedirect.com/science/article/pii/S0360131512000735 VL - 59 Y2 - 2016/09/24/15:34:52 ID - 2330 ER - TY - JOUR AB - The Internet of Things (IoT) technology, based on the perception, is developing rapidly and permeating into every walk of life. IoT of agriculture, including animal husbandry, has been showing a status of rapid development and is urgent in keeping pace with other industries. In this study, livestock coding specification and identification technology, remote monitoring technology of livestock farm environments and animal behaviors, and precise sow feeding equipment and digital network management platform of farms were reviewed to expound the application effects and limitations of IoT in animal husbandry. We found that at the perceptual layer, the international standards for livestock identification mainly included the ISO TC 23/SC 19, which set rules for radio frequency identification (RFID) for livestock management, and it was functionally divided into ISO 11784, ISO 11785 and ISO 14223.The Chinese standards for livestock identification were described in three levels: national standard specifications, local standards, and corporate standards. For example, the three different standards are Ministry of Agriculture Legislation No. 67, local standard of identification in Shanghai (DB31/T341-2005), and Xinjiang (DB 65/T3209-2011), and internal encoding specification of Beidahuang Agriculture Co., Ltd and Yiliyuan Co., Ltd. At the transport layer, the environment parameters of livestock farms like temperature, humidity, illumination intensity, ammonia concentration, and carbon dioxide concentration etc., and animal behavior parameters like body weight and body temperature would be perceived by different sensors and then the data from environment parameters and individual animal behavior data mentioned above would be remotely transferred through a wireless public network (2G/3G/4G). The video data and huge production process data were transferred into internet network databases by wired networks. At the data application layer, the typical application examples were shown below. Firstly, remote monitoring, data collection, and transmission of breeding environment parameters or animal production data were realized by using an intellectual mobile terminal to analyze and give early warning of the collected data. Then, the system will selectively turn on or off the remote intelligent environmental control equipment (draught fan, light, heater, and water pump etc.) based on the analysis results. The second example was the construction of a cloud-computing platform of cow-breeding farms and pig-breeding farms-that is, production data of hundreds or thousands farms were collected by network databases and data was cloud-stored as well as cloud-analyzed in the form of formal meta data, and the platform would give farmers warning information based on the analysis of production and breeding database by data mining technology. The third example was the development and application of automatic electro-mechanical feeding control systems of lactating sows, which was composed of electro-mechanical systems, wireless network technology, mobile SQL Lite network database, electronic data interchange, and feed intake prediction models of lactating sow nutrient requirements. This paper also analyzed the deficiencies of animal husbandry's IoT in technology, product, application, related policies, and people's cognitive from microcosmic to macrocosmic aspects, and suggestions were given based on the above deficiencies. Above all, the modernization development of animal husbandry needs the support of the IoT and IoT in turn is urged to accumulate its positive energy and promote itself better through applications in the different technological fields. , 2014, Chinese Society of Agricultural Engineering. All right reserved. AU - Xiong, Benhai AU - Yang, Zhengang AU - Yang, Liang AU - Pan, Xiaohua DA - 2015 DO - 10.3969/j.issn.1002-6819.2015.z1.028 J2 - Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering KW - Agriculture Animals Carbon dioxide Control equipment Database systems data mining Distributed computer systems electronic data interchange Environmental management Feeding Identification (control systems) Internet Internet of things Monitoring Network management Radio frequency identification (RFID) Remote control Specifications Standards Surface discharges N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 10026819 SP - 237-246 ST - Review on application of Internet of Things technology in animal husbandry in China T2 - Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering TI - Review on application of Internet of Things technology in animal husbandry in China UR - http://dx.doi.org/10.3969/j.issn.1002-6819.2015.z1.028 VL - 31 ID - 904 ER - TY - JOUR AB - We present Rhodobase, a web-based meta-analytical tool for analysis of transcriptional regulation in a model anoxygenic photosynthetic bacterium, Rhodobacter sphaeroides. The gene association meta-analysis is based on the pooled data from 100 of R. sphaeroides whole-genome DNA microarrays. Gene-centric regulatory networks were visualized using the StarNet approach (Jupiter, D.C., VanBuren, V., 2008. A visual data mining tool that facilitates reconstruction of transcription regulatory networks. PLoS ONE 3, e1717) with several modifications. We developed a means to identify and visualize operons and superoperons. We designed a framework for the cross-genome search for transcription factor binding sites that takes into account high GC-content and oligonucleotide usage profile characteristic of the R. sphaeroides genome. To facilitate reconstruction of directional relationships between co-regulated genes, we screened upstream sequences (-400 to +20bp from start codons) of all genes for putative binding sites of bacterial transcription factors using a self-optimizing search method developed here. To test performance of the meta-analysis tools and transcription factor site predictions, we reconstructed selected nodes of the R. sphaeroides transcription factor-centric regulatory matrix. The test revealed regulatory relationships that correlate well with the experimentally derived data. The database of transcriptional profile correlations, the network visualization engine and the optimized search engine for transcription factor binding sites analysis are available at http://rhodobase.org. AU - Moskvin, Oleg V. AU - Bolotin, Dmitry AU - Wang, Andrew AU - Ivanov, Pavel S. AU - Gomelsky, Mark DA - 2011/02//undefined DO - 10.1016/j.biosystems.2010.10.017 IS - 2 J2 - Biosystems KW - *Data Mining *Internet *Models, Biological *Software Binding Sites/genetics Computer Simulation Gene Regulatory Networks/*genetics/physiology Oligonucleotide Array Sequence Analysis Photosynthesis/*genetics/physiology Rhodobacter sphaeroides/*genetics/physiology Transcription Factors LA - eng PY - 2011 SN - 1872-8324 0303-2647 SP - 125-131 ST - Rhodobase, a meta-analytical tool for reconstructing gene regulatory networks in a model photosynthetic bacterium T2 - Bio Systems TI - Rhodobase, a meta-analytical tool for reconstructing gene regulatory networks in a model photosynthetic bacterium VL - 103 ID - 220 ER - TY - JOUR AB - From the initial arguments over whether 12 to 20 subjects were sufficient for an fMRI study, sample sizes in psychiatric neuroimaging studies have expanded into the tens of thousands. These large-scale imaging studies fall into several categories, each of which has specific advantages and challenges. The different study types can be grouped based on their level of control: meta-analyses, at one extreme of the spectrum, control nothing about the imaging protocol or subject selection criteria in the datasets they include, On the other hand, planned multi-site mega studies pour intense efforts into strictly having the same protocols. However, there are several other combinations possible, each of which is best used to address certain questions. The growing investment of all these studies is delivering on the promises of neuroimaging for psychiatry, and holds incredible potential for impact at the level of the individual patient. However, to realize this potential requires both standardized data-sharing efforts, so that there is more staying power in the datasets for re-use and new applications, as well as training the next generation of neuropsychiatric researchers in "Big Data" techniques in addition to traditional experimental methods. The increased access to thousands of datasets along with the needed informatics demands a new emphasis on integrative scientific methods. AU - Turner, Jessica A. DA - 2014 DO - 10.1186/2047-217X-3-29 J2 - Gigascience KW - Clinical imaging data mining Data sharing neuroinformatics LA - eng PY - 2014 SN - 2047-217X 2047-217X SP - 29 ST - The rise of large-scale imaging studies in psychiatry T2 - GigaScience TI - The rise of large-scale imaging studies in psychiatry VL - 3 ID - 203 ER - TY - JOUR AB - Background: Historically, jobs that are high in physical labour such as construction, farming, fishing, mining and manufacturing tend to have the highest accident and fatality rates. Many working in these sectors, particularly of Hispanic origin, have been experiencing higher numbers of accidents than workers from other backgrounds.Objective: To investigate adverse safety and health outcomes among Hispanic workers in the US associated with risk factors by means of a systematic review of analytical studies.Methods: A keyword search was used within several academic databases to search for applicable articles. A critical appraisal was carried out to evaluate the selected studies according to epidemiological principles.Results: The critical appraisal of six relevant studies revealed that lack of education and training, language barriers, culture barriers and job type are risk factors associated with adverse safety and health outcomes in Hispanic workers in the US. However, results may be limited due to a need for specific information regarding subject loss and issues regarding generalization to eligible populations.Conclusions: There is still a need for studies investigating the relationship between specific risk factors and their influence on immigrant workers. Research should take into account other variables such as immigration status and develop proper interventions to assess the effectiveness of prevention methods such as proper bilingual safety training. AN - 106247862. Language: English. Entry Date: 20070309. Revision Date: 20150711. Publication Type: Journal Article AU - Acosta-Leon, A. L. AU - Grote, B. P. AU - Salem, S. AU - Daraiseh, N. DA - 2006/06/05/May/ undefined DB - c8h DP - EBSCOhost IS - 3 J2 - Theoretical Issues in Ergonomics Science KW - Cultural Values Educational Status Hispanics -- United States Human Interrater Reliability Language Medline Occupational Diseases -- Risk Factors -- United States Occupational-Related Injuries -- Risk Factors -- United States Professional Practice, Evidence-Based Psycinfo Research Methodology -- Evaluation Scales Study Design -- Evaluation United States N1 - research; systematic review; tables/charts. Journal Subset: Biomedical; Editorial Board Reviewed; Europe; Expert Peer Reviewed; Peer Reviewed; UK & Ireland. Instrumentation: Epidemiological Appraisal Instrument (EAI) (Genaidy and LeMasters). NLM UID: 101163424. PY - 2006 SN - 1463-922X SP - 299-310 ST - Risk factors associated with adverse health and safety outcomes in the US Hispanic workforce T2 - Theoretical Issues in Ergonomics Science TI - Risk factors associated with adverse health and safety outcomes in the US Hispanic workforce UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=106247862&scope=site VL - 7 ID - 413 ER - TY - JOUR AB - Objective, To determine whether study sponsor, chemical formulation, brand of glucosamine, and/or risk of bias explain observed inconsistencies in trials of glucosa.mine's efficacy for treating pain in osteoarthritis (OA). Methods. A systematic review and stratified meta-analysis of randomized placebo-controlled trials was performed, and random-effects models were applied with inconsistency (I-2) and heterogeneity (tau(2)) estimated using Review Manager and SAS, respectively. The major outcome was reduction of pain; the standardized mean difference (SMD [95% confidence interval (95% CM) served as effect size. Results. The inclusion criteria yielded 25 trials (3,458 patients). Glucosamine moderately reduced pain (SMD -0.51 [95% CI -0.72, -0.30]), although a high level of between-trial inconsistency was observed (I-2 = 88%). The single most important explanation (i.e., covariate) was brand, reducing heterogeneity by 41% (P = 0.00032). Twelve trials (1,437 patients) using the Rottapharm/Madaus product resulted in significant pain reduction (SMD 1.07 [95% CI -1.47, -0.67]), although a sensitivity analysis of 3 low risk of bias trials using the Rottapharm/Madaus product showed less promising results (SMD -0.27 [95% CI -0.43, -0.12]), which is only a small effect size. Thirteen trials (1,963 patients) using non-Rottapharm/Madaus products consistently failed to show a reduction in pain (SMD -0.11 [95% CI -0.46, 0.24]). The second most important explanation was overall risk of bias (reducing heterogeneity by 32%). Conclusion. Most of the observed heterogeneity in glucosamine trials is explained by brand. Trials using the Rottapharm/Madaus glucosamine product had a superior outcome on pain in OA compared to other preparations of glucosamine. Large inconsistency was found, however. Low risk of bias trials, using the Rottapharrn/Madaus product, revealed a small effect size. AU - Eriksen, Patrick AU - Bartels, Else M. AU - Altman, Roy D. AU - Bliddal, Henning AU - Juhl, Carsten AU - Christensen, Robin DA - 2014/12// DO - 10.1002/acr.22376 IS - 12 L1 - internal-pdf://3298780926/Eriksen-2014-Risk of Bias and Brand Explain th.pdf PY - 2014 SN - 2151-464X SP - 1844-1855 ST - Risk of Bias and Brand Explain the Observed: Inconsistency in Trials on Glucosamine Symptomatic Relief of Osteoarthritis: A Meta-Analysis of Placebeo-Controlled Trials T2 - Arthritis Care & Research TI - Risk of Bias and Brand Explain the Observed: Inconsistency in Trials on Glucosamine Symptomatic Relief of Osteoarthritis: A Meta-Analysis of Placebeo-Controlled Trials UR - http://onlinelibrary.wiley.com/store/10.1002/acr.22376/asset/acr22376.pdf?v=1&t=itirs4jg&s=1209b7f5664e225b65331768db906519c88cd14b VL - 66 ID - 1924 ER - TY - JOUR AB - BACKGROUND: Pulmonary tuberculosis (PTB) among underground miners exposed to silica remains a global problem. Although well described in gold and coal mining, risk in other mining entities are not as well documented. This study aims to determine dust-related dose response risk for PTB among underground miners exposed to silica dust in Zambia's copper mines. METHODS: A cross sectional study of in-service miners (n = 357) was conducted at Occupational Health and Safety Institute (OHSI), Zambia. A systematic review of medical data over a 5-year period from assessments conducted by doctors at OHSI and statutory silica exposure data (n = 16678) from the Mine Safety Department (MSD) were analysed. Lifetime cumulative exposure metrics were calculated. Multivariate logistic regression analysis was used to determine the association between PTB and lifetime exposure to silica, while adjusting for various confounders. RESULTS: The median respirable silica dust level was 0.3 mg/m(3) (range 0.1-1.3). The overall prevalence of PTB was 9.5 % (n = 34). High cumulative respirable silica dust category showed a statistically significant association with PTB (OR = 6.4 (95 % CI 1. 8-23)) and a significant trend of increasing disease prevalence with increasing cumulative respirable silica dust categories was observed (ptrend < 0.01). Smoking showed a statistically significant association with PTB with OR = 4.3 (95 % CI 1.9-9.9). CONCLUSIONS: Our results demonstrate the association of increased risk for certified active TB with cumulative respirable dust in a dose related manner among this sample of copper miners. There is need to intensify dust control measures and incorporate anti-smoking interventions into TB prevention and control programmes in the mines. AU - Ngosa, Kingsley AU - Naidoo, Rajen N. DA - 2016 DO - 10.1186/s12889-016-3547-2 IS - 1 J2 - BMC Public Health KW - Cumulative exposure Pulmonary Tuberculosis Silica dust Smoking Underground copper miners LA - eng PY - 2016 SN - 1471-2458 1471-2458 SP - 855 ST - The risk of pulmonary tuberculosis in underground copper miners in Zambia exposed to respirable silica: a cross-sectional study T2 - BMC public health TI - The risk of pulmonary tuberculosis in underground copper miners in Zambia exposed to respirable silica: a cross-sectional study VL - 16 ID - 286 ER - TY - BOOK AB - The health industry collects huge amounts of health data, which, unfortunately, are not mined to discover hidden information. Information technologies can provide alternative approaches to the diagnosis of the osteoporosis disease. In this chapter, the authors examine the potential use of classification techniques on a huge volume of healthcare data, particularly in anticipation of patients who may have osteoporosis disease through a set of potential riskfactors. An innovative solution approach based on dynamic reduced sets of risk factors using the promising Rough Set theory is proposed. An experimentation of several classification techniques have been performed leading to rank the suitable techniques. The reduction of potential risk factors contributes to enumerate dynamically optimal subsets of the potential risk factors of high interest leading to reduce the complexity of the classification problems. The performance of the model is analyzed and evaluated based on a set of benchmark techniques. AU - Moudani, Walid AU - Chakik, Fadi AU - Shahin, Ahmad AU - Rajab, Dima DA - 2015 PY - 2015 SN - 978-1-4666-6640-5 978-1-4666-6639-9 ST - Risk Prediction Model for Osteoporosis Disease Based on a Reduced Set of Factors TI - Risk Prediction Model for Osteoporosis Disease Based on a Reduced Set of Factors ID - 2239 ER - TY - JOUR AB - BACKGROUND: Batch effects are a persistent and pervasive form of measurement noise which undermine the scientific utility of high-throughput genomic datasets. At their most benign, they reduce the power of statistical tests resulting in actual effects going unidentified. At their worst, they constitute confounds and render datasets useless. Attempting to remove batch effects will result in some of the biologically meaningful component of the measurement (i.e. signal) being lost. We present and benchmark a novel technique, called Harman. Harman maximises the removal of batch noise with the constraint that the risk of also losing biologically meaningful component of the measurement is kept to a fraction which is set by the user. RESULTS: Analyses of three independent publically available datasets reveal that Harman removes more batch noise and preserves more signal at the same time, than the current leading technique. Results also show that Harman is able to identify and remove batch effects no matter what their relative size compared to other sources of variation in the dataset. Of particular advantage for meta-analyses and data integration is Harman's superior consistency in achieving comparable noise suppression - signal preservation trade-offs across multiple datasets, with differing number of treatments, replicates and processing batches. CONCLUSION: Harman's ability to better remove batch noise, and better preserve biologically meaningful signal simultaneously within a single study, and maintain the user-set trade-off between batch noise rejection and signal preservation across different studies makes it an effective alternative method to deal with batch effects in high-throughput genomic datasets. Harman is flexible in terms of the data types it can process. It is available publically as an R package ( https://bioconductor.org/packages/release/bioc/html/Harman.html ), as well as a compiled Matlab package ( http://www.bioinformatics.csiro.au/harman/ ) which does not require a Matlab license to run. AU - Oytam, Yalchin AU - Sobhanmanesh, Fariborz AU - Duesing, Konsta AU - Bowden, Joshua C. AU - Osmond-McLeod, Megan AU - Ross, Jason DA - 2016 DO - 10.1186/s12859-016-1212-5 IS - 1 J2 - BMC Bioinformatics KW - Batch effects ComBat Guided PCA High-throughput genomic data Measurement noise Principal Component Analysis Singular value decomposition LA - eng PY - 2016 SN - 1471-2105 1471-2105 SP - 332 ST - Risk-conscious correction of batch effects: maximising information extraction from high-throughput genomic datasets T2 - BMC bioinformatics TI - Risk-conscious correction of batch effects: maximising information extraction from high-throughput genomic datasets VL - 17 ID - 39 ER - TY - JOUR AB - The recent exponential increase in the number of next generation sequencing studies provides a new source of data for the discovery of functional genomics based markers. The RNA-seq and small RNA-seq provide a new source for the discovery of differentially expressed SSRs (simple sequence repeats) as biomarkers in various diseases. In the present study, for the first time, we applied RNA-seq SSR to find new biomarkers for pancreatic cancer (PC) diagnosis. Analysis of RNA-seq data revealed a significant alternation in the frequency of SSR motifs during cancer progression. In particular, RNA-seq SSR showed an increase in the frequencies of GCC/GGC and GCG/CGC motifs in PC samples compared to healthy pancreas. These findings were further confirmed using meta-analysis of EST-SSR data in 11 different cancers. Interestingly, the genes containing GCC/GGC and GCG/CGC motifs in their sequences were involved in many cancer-related biological processes, particularly regulation processes. The small RNA-seq data were also mined for the conserved patterns in SSR frequencies (sRNA-seq SSR) during cancer progression. Based on the results, we suggest the potential use of GCC/GGC and GCG/CGC motifs as biomarkers in PC. Based on the findings of this study, it seems that RNA-seq SSR and sRNA-seq SSR could open a new paradigm in the diagnostic and even therapeutic strategies for PC along the other types of cancers. (C) 2015 Elsevier B.V. All rights reserved. AU - Alisoltani, Arghavan AU - Fallahi, Hossein AU - Shiran, Behrouz AU - Alisoltani, Anousheh AU - Ebrahimie, Esmaeil DA - 2015/04/10/ DO - 10.1016/j.gene.2015.01.027 IS - 1 L1 - internal-pdf://1374344043/Alisoltani-2015-RNA-Seq SSRs and small RNA-Seq.pdf PY - 2015 SN - 0378-1119 SP - 34-43 ST - RNA-Seq SSRs and small RNA-Seq SSRs: New approaches in cancer biomarker discovery T2 - Gene TI - RNA-Seq SSRs and small RNA-Seq SSRs: New approaches in cancer biomarker discovery UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0378111915000438/1-s2.0-S0378111915000438-main.pdf?_tid=5cde4718-832c-11e6-a3d0-00000aacb35d&acdnat=1474813904_ffaf073d1e35a4108c89d72ddae7b69b VL - 560 ID - 1970 ER - TY - JOUR AB - Background: Currently, hepatic resections are being performed with robotic-assisted systems. There is little evidence regarding the outcomes of this surgical approach. This study aims to systematically review the outcomes related to robotic-assisted hepatic resections. Methods: A systematic search of electronic databases was completed. All human studies, limited to adults, published between 2000 to August 2011 were included. Results: Eight studies yielded a total of 170 procedures. The overall morbidity rate was 11.6% (range 0-39%). There were no mortalities reported following robotic-assisted hepatic resection. Mean operative time was 264.8 minutes, with a mean hospital length of stay of 7.8 days. Rate of conversion was 6.6%. Cost was greater than either laparoscopy or open hepatic surgery. Conclusions: Our systematic review suggests robotic-assisted hepatic resection is safe and feasible, with low mortality and morbidity rates. Further research is needed to determine if oncological outcomes are similar. Copyright 2013 John Wiley Sons, Ltd. AU - Pelletier, J. S. AU - Gill, R. S. AU - Shi, X. AU - Birch, D. W. AU - Karmali, S. DA - 2013/09// DO - 10.1002/rcs.1500 IS - 3 J2 - International Journal of Medical Robotics and Computer Assisted Surgery KW - data analysis data mining electronic health records liver medical robotics surgery PY - 2013 SN - 1478-5951 SP - 262-7 ST - Robotic-assisted hepatic resection: a systematic review T2 - International Journal of Medical Robotics and Computer Assisted Surgery TI - Robotic-assisted hepatic resection: a systematic review UR - http://dx.doi.org/10.1002/rcs.1500 VL - 9 ID - 1292 ER - TY - JOUR AB - OBJECTIVE: To develop and evaluate RobotReviewer, a machine learning (ML) system that automatically assesses bias in clinical trials. From a (PDF-formatted) trial report, the system should determine risks of bias for the domains defined by the Cochrane Risk of Bias (RoB) tool, and extract supporting text for these judgments. METHODS: We algorithmically annotated 12,808 trial PDFs using data from the Cochrane Database of Systematic Reviews (CDSR). Trials were labeled as being at low or high/unclear risk of bias for each domain, and sentences were labeled as being informative or not. This dataset was used to train a multi-task ML model. We estimated the accuracy of ML judgments versus humans by comparing trials with two or more independent RoB assessments in the CDSR. Twenty blinded experienced reviewers rated the relevance of supporting text, comparing ML output with equivalent (human-extracted) text from the CDSR. RESULTS: By retrieving the top 3 candidate sentences per document (top3 recall), the best ML text was rated more relevant than text from the CDSR, but not significantly (60.4% ML text rated 'highly relevant' v 56.5% of text from reviews; difference +3.9%, [-3.2% to +10.9%]). Model RoB judgments were less accurate than those from published reviews, though the difference was <10% (overall accuracy 71.0% with ML v 78.3% with CDSR). CONCLUSION: Risk of bias assessment may be automated with reasonable accuracy. Automatically identified text supporting bias assessment is of equal quality to the manually identified text in the CDSR. This technology could substantially reduce reviewer workload and expedite evidence syntheses. AU - Marshall, Iain J. AU - Kuiper, Joel AU - Wallace, Byron C. DA - 2016/01//undefined DO - 10.1093/jamia/ocv044 IS - 1 J2 - J Am Med Inform Assoc KW - bias data mining natural language processing Randomized Controlled Trials as Topic Systematic review LA - eng PY - 2016 SN - 1527-974X 1067-5027 SP - 193-201 ST - RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials T2 - Journal of the American Medical Informatics Association : JAMIA TI - RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials VL - 23 ID - 224 ER - TY - CONF AB - NURBs-based metamodels have been shown to accurately reproduce the behavior of computationally expensive models. These models in turn represent engineering problems of great complexity and importance. While the structure of NURBs-based metamodels has facilitated the development of discrete optimization algorithms, other analysis areas such as robust and multiobjective optimization have proven to be more difficult. We present here a new method for the analysis and optimization of these metamodels which is based on graph theory principles. The adoption of these principles allows the use of powerful existing algorithms for graph analysis. We have focused on the problem of robust optimization in this work, as the robust optimization of NURBs-based metamodels has been previously examined using more conventional techniques. We demonstrate that the graph-based analysis technique provides the design engineer a more comprehensive understanding of design problems and their behavior. We also demonstrate the new technique on a range of test functions in order to establish its validity and usefulness in the context of product and process optimization. We conclude with a discussion of the use of this new approach in addressing other analysis challenges such as multiobjective or mixed-integer optimization. 2011 by ASME. AU - Steuben, John AU - Turner, Cameron J. C3 - ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011, August 28, 2011 - August 31, 2011 DA - 2011 DO - 10.1115/DETC2011-47217 KW - Algorithms Design Graph theory Integer programming Models Multiobjective optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Society of Mechanical Engineers PY - 2011 SP - 587-598 ST - Robust optimization and analysis of nurbs-based metamodels using graph theory T3 - Proceedings of the ASME Design Engineering Technical Conference TI - Robust optimization and analysis of nurbs-based metamodels using graph theory UR - http://dx.doi.org/10.1115/DETC2011-47217 VL - 2 ID - 1002 ER - TY - JOUR AB - The optimization of mixed-integer problems is a classic problem with many industrial and design applications. A number of algorithms exist for the numerical optimization of these problems, but the robust optimization of mixed-integer problems has been explored to a far lesser extent. We present here a general methodology for the robust optimization of mixed-integer problems using nonuniform rational B-spline (NURBs) based metamodels and graph theory concepts. The use of these techniques allows for a new and powerful definition of robustness along integer variables. In this work, we define robustness as an invariance in problem structure, as opposed to insensitivity in the dependent variables. The application of this approach is demonstrated on two test problems. We conclude with a performance analysis of our new approach, comparisons to existing approaches, and our views on the future development of this technique. 2012 American Society of Mechanical Engineers. AU - Steuben, John C. AU - Turner, Cameron J. DA - 2012 DO - 10.1115/1.4007988 IS - 4 J2 - Journal of Computing and Information Science in Engineering KW - Graph theory Integer programming Optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 15309827 ST - Robust optimization of mixed-integer problems using NURBs-based metamodels T2 - Journal of Computing and Information Science in Engineering TI - Robust optimization of mixed-integer problems using NURBs-based metamodels UR - http://dx.doi.org/10.1115/1.4007988 VL - 12 ID - 668 ER - TY - CONF AB - The purpose of this study is to investigate the geological and geotechnical characteristics of the rock mass and to suggest appropriate excavation and support recommendations, and rock mass strength parameters along the Kuskunkiran Tunnel in Van. The study area consists of calc schist, graphitic schist, meta-sandstone, meta-conglomerate and recrystallized limestone. The rock mass was classified according to the RMR, Q, and NATM classification systems and the tunnel ground was divided into sections according to the rock mass classes. Then, the geomechanical parameters and the support recommendations were selected based on these classification systems. Appropriate geomechanical parameters (i.e., Hoek-Brown material constants m and s, cohesion, internal friction angle, modulus elasticity etc.) were used, deformations and stress concentrations around the tunnel were investigated and finally the interaction of the support systems with the excavated rock masses were analyzed by using finite element method. 2005 Taylor Francis Group. AU - Karahan, Ercument AU - Cosar, Songul AU - Sozer, Senol AU - Kaya, Kenan C3 - 2005 ITA-AITES World Tunnel Congress and 31st General Assembly, May 7, 2005 - May 12, 2005 DA - 2005 KW - Elasticity Finite element method Rock mechanics Rocks Stress concentration N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - A.A. Balkema Publishers PY - 2005 SP - 701-706 ST - Rock mass classification and support design of the Kuskunkiran Tunnel in Van T3 - Underground Space Use: Analysis of the Past and Lessons for the Future - Proceedings of the 31st ITA-AITES World Tunnel Congress TI - Rock mass classification and support design of the Kuskunkiran Tunnel in Van VL - 2 ID - 590 ER - TY - JOUR AB - This work aims to estimate the Rock Mass Rating of 200km2 area of the Italian Central Alps, along San Giacomo Valley (province of Sondrio). The regional geological setting is related to the Pennidic Nappe arrangement, which is characterized by the emplacement of sub-horizontal gneissic bodies, separated by meta-sedimentary cover units. The resulting RMR map can be a useful tool to forecast the quality of outcropping rock masses as well as to derive their geomechanical behaviour. Almost 100 geomechanical field surveys have been carried out in the research area, in order to characterize the outcropping rock masses; afterwards rock mass quality indexes have been evaluated in each surveyed site. In order to estimate the Rock Mass Rating values in un-sampled locations, different geostatistical techniques (kriging and simulations) have been applied, using both bi-dimensional and almost three-dimensional approaches. The validation process shows that kriging tends to produce smoothened distributions, while conditional simulations allow respecting local extreme values. Although geostatistical analysis reveals that geomechanical properties show spatial correlations, it is to remind that rock mass quality is strongly related to its geological and structural history. 2014 Elsevier Ltd. AU - Ferrari, F. AU - Apuani, T. AU - Giani, G. P. DA - 2014 DO - 10.1016/j.ijrmms.2014.04.016 J2 - International Journal of Rock Mechanics and Mining Sciences KW - Geomechanics Interpolation Quality Control Rock mechanics Rocks Surveys L1 - internal-pdf://3090208438/Ferrari-2014-Rock Mass Rating spatial estimati.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 13651609 SP - 162?176-162?176 ST - Rock Mass Rating spatial estimation by geostatistical analysis T2 - International Journal of Rock Mechanics and Mining Sciences TI - Rock Mass Rating spatial estimation by geostatistical analysis UR - http://dx.doi.org/10.1016/j.ijrmms.2014.04.016 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1365160914001117/1-s2.0-S1365160914001117-main.pdf?_tid=be5df25c-8333-11e6-9c17-00000aacb35f&acdnat=1474817074_337f9672e6bf27b67f4b889a3f5cdd13 VL - 70 ID - 1095 ER - TY - JOUR AB - INTRODUCTION: Disproportionality analysis (DA) of adverse drug reactions spontaneous reporting (SR) databases is used to identify signals of disproportionate reporting (SDR). The objective of this study was to identify the generation of SDR in the published literature and whether it led to regulatory action. METHODS: A systematic literature search in MEDLINE and Cochrane Central Register for Controlled Trials (CENTRAL) in a 10-year period, from 2005 to 2014, was conducted, to identify studies designed to detect drug safety signals through the use of disproportionality measures applied to spontaneous reporting databases of adverse drug reactions. RESULTS: Seventy three studies were included. The number of publications has been rising over the study time period. Forty nine studies focus on drug-event combinations. Large international and smaller national or regional databases were identified. The disproportionality measures applied included frequentist and Bayesian methods and some studies used more than one method. SDRs were identified in more than ninety percent of the studies. Ten studies were found to be confirmatory of previous regulatory decision. CONCLUSION: It was not found any safety signal issued by drug regulatory agencies exclusively generated by DA. More research devoted to this issue is needed, since the value of these methods on drug safety signaling and their impact on drug regulation actions remains to be established. AU - Dias, Patricia AU - Penedones, Ana AU - Alves, Carlos AU - Ribeiro, Carlos F. AU - Marques, Francisco B. DA - 2015 IS - 3 J2 - Curr Drug Saf KW - *Databases, Factual/statistics & numerical data *Data Mining/statistics & numerical data *Pharmacovigilance Adverse Drug Reaction Reporting Systems/*legislation & jurisprudence Bayes Theorem Consumer Product Safety/legislation & jurisprudence Drug and Narcotic Control/*legislation & jurisprudence/statistics & numerical data Drug Approval/*legislation & jurisprudence/statistics & numerical data Drug-Related Side Effects and Adverse Reactions/diagnosis/*epidemiology Humans Patient Safety/legislation & jurisprudence Risk Assessment Risk Factors Time Factors LA - eng PY - 2015 SN - 2212-3911 1574-8863 SP - 234-250 ST - The Role of Disproportionality Analysis of Pharmacovigilance Databases in Safety Regulatory Actions: a Systematic Review T2 - Current drug safety TI - The Role of Disproportionality Analysis of Pharmacovigilance Databases in Safety Regulatory Actions: a Systematic Review VL - 10 ID - 134 ER - TY - JOUR AB - Parkinson's disease (PD) is a neurodegenerative disorder that occurs due to a progressive degeneration of dopaminergic (DA) neurons. Brain area affected by progressive destruction of neurons controls movements, and patients with PD reveal rigid and uncontrollable gestures, postural instability, small handwriting and tremor. There are some risk factors that have been proven to trigger PD with a certain probability (for example insecticides exposure, and genetic and environmental factors), but still can not say for sure which are all risk factors for this terrible disease. Also, many other leads were analyzed, such as exposure to certain metals, toxins, head trauma, constipation, low intake of antioxidants, infection (chicken pox, measles, rubella, mumps), but no studies have shown clear links with them. The aim of this study is to examine the association between Parkinson's disease and exposure to environmental factors such as living in the Bucovina Region (Suceava District, North of Eastern Carpathians). Exposure to metals such as lead, manganese, iron, copper and uranium have been of interest since some occupational studies focused on mining identified them as potential risk factors for PD. Moreover, we have done a statistical study based on Markov chains regarding this disease prediction and we have developed a specific screening test for early diagnosis of Parkinson's disease. AU - Geman, Oana AU - Costin, Hariton DA - 2015/10// IS - 10 PY - 2015 SN - 1582-9596 SP - 2435-2444 ST - ROLE OF ENVIRONMENTAL RISK FACTORS IN PARKINSON'S DISEASE: BUCOVINA REGION CASE STUDY T2 - Environmental Engineering and Management Journal TI - ROLE OF ENVIRONMENTAL RISK FACTORS IN PARKINSON'S DISEASE: BUCOVINA REGION CASE STUDY VL - 14 ID - 2259 ER - TY - JOUR AB - Sisson Brook is a subeconomic W-Cu-Mo deposit associated with Devonian porphyritic intrusions and hosted by metagabbro, mafic metavolcanics, felsic metavolcanics, and meta-sediments. Four stages of veining and alteration have been recognized. Early mineralization consisted of disseminated and vein-bearing molybdoscheelite accompanied by pervasive amphibole alteration. Subsequent scheelite and molybdenite deposition was restricted largely to quartz veins and was associated with biotitization. Both stages of mineralization were concentrated in metagabbro and mafic metavolcanics. The final mineralization stage consisted of wolframite and chalcopyrite in quartz vein stockworks associated with phyllic alteration and developed mainly in felsic metavolcanics and metasedimentary rocks. Analyses of amphibole and mass balance calculations show that Na+ was added to the rock and that Si+4, Mg+2, and Ca+2 were leached during molybdoscheelite mineralization. A relatively high fo2 fluid is indicated by increases in the Fe+3/Fe+2 ratio of the alteration amphibole and a low fs2 by the associated iron enrichment. Mass balance calculations show that Mg+2 and Ca+2 continued to be leached during scheelite-molybdenite mineralization and Si+4, which had previously been leached, was added to the rock with K+ and Na+. Fluid inclusion data suggest that W-Cu-Mo mineralization was deposited from a comparatively low-salinity aqueous liquid at temperatures between 330-degrees-C. The highest temperatures were attained during the second stage of mineralization, at which time minor hypersaline fluids also circulated in the hydrothermal system. A model is proposed in which hydrothermal activity was initiated by the circulation of meteoric formational waters in metagabbro adjacent to moderately high level porphyry intrusions. This stage was marked by low fluid-rock ratios which controlled mineralization by fixing molybdoscheelite with Ca supplied by the host rocks. An increase in temperature during subsequent molybdenite-scheelite mineralization was the result of the introduction of orthomagmatic fluids from the porphyries. The major change in mineralizing conditions was an increase in fs2 which permitted deposition of molybdenite and gave rise to scheelite instead of molybdoscheelite. Scheelite deposition was caused by the high Ca contents of the host rocks and/or destabilization of KWO-4 ion pairs as a result of biotitization. Fluid-rock ratios reached a maximum during deposition of wolframite and chalcopyrite, reflecting the influx of meteoric waters through large, open fracture systems. The wolframite and chalcopyrite were deposited as a result of decreasing temperature or, in the case of chalcopyrite, and/or decreasing pH and/or increasing fs2. The study demonstrates the importance of fluid-rock interation and the nature of the host lithologies in controlling this style of W-Cu-Mo mineralization. AU - Nast, H. J. AU - Williamsjones, A. E. DA - 1991/04//MAR IS - 2 PY - 1991 SN - 0361-0128 SP - 302-317 ST - THE ROLE OF WATER-ROCK INTERACTION AND FLUID EVOLUTION IN FORMING THE PORPHYRY-RELATED SISSON BROOK W-CU-MO DEPOSIT, NEW-BRUNSWICK T2 - Economic Geology and the Bulletin of the Society of Economic Geologists TI - THE ROLE OF WATER-ROCK INTERACTION AND FLUID EVOLUTION IN FORMING THE PORPHYRY-RELATED SISSON BROOK W-CU-MO DEPOSIT, NEW-BRUNSWICK VL - 86 ID - 2170 ER - TY - BOOK AB - A key step in the evolution of a Java system towards the aspect oriented paradigm is the identification of crosscutting concerns that need to be refactored. This paper proposes an approach to identify concerns and the crosscutting among them in existing Java systems. A meta-model is defined to represent concerns as sets of Type Fragments (where a Type Fragment is a portion of a Type in terms of its members, properties and relationships). The approach exploits the concept of Role: each Role is associated to a concern and the system source code is analyzed to find the Type Fragments implementing it. All the Roles that contribute to implement a same semantic concern are grouped together by a clustering algorithm based on a combination of a structural and a lexical distance. Each cluster of Roles (and thus the Type Fragments associated to them) is assigned to a single more abstract concern. Crosscutting is detected looking for scattering and tangling of Type Fragments within the identified concerns. The structural information about the Type Fragments assigned to each concern and the crosscutting relationships among the concerns can be used to drive the refactoring towards aspects. The results from a case study where the approach has been applied to several software systems are presented and discussed. AU - Bernardi, Mario Luca AU - Di Lucca, Giuseppe Antonio DA - 2009 PY - 2009 SN - 978-1-60558-678-6 ST - A Role-based Crosscutting Concerns Mining Approach to Evolve Java Systems Towards AOP TI - A Role-based Crosscutting Concerns Mining Approach to Evolve Java Systems Towards AOP ID - 2182 ER - TY - CONF AB - This paper states that the RoleOf Relationship can provide a general approach to resolve instantiation problems of design patterns. The problems come from the fact that pattern logic scatters across multiple business classes (classes specific to each application). This causes problems such as decreasing reusability of pattern logic, and losing of the instantiation information of pattern (traceability and overlapping problem) etc. To resolve these problems in design level, an approach for design pattern instantiation based on RoleOf relationship is proposed. In our approach, roles of pattern are treated as the independent modeling elements and RoleOf relationship is used to associate a role with a business class. The meta model of RoleOf relationship for pattern instantiation and its semantics are proposed as well. Examples are used to illustrate this approach. Implementation and behavior description of RoleOf relationship are also presented in the paper. Springer-Verlag Berlin Heidelberg 2005. AU - He, Chengwan AU - He, Fei AU - He, Keqing AU - Liu, Jin AU - Tu, Wenjie C3 - 1st International Conference on Advanced Data Mining and Applications, ADMA 2005, July 22, 2005 - July 24, 2005 DA - 2005 KW - Computer Simulation Formal logic Information analysis Pattern recognition Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2005 SN - 03029743 SP - 642-653 ST - RoleOf relationship and Its meta model for design pattern instantiation T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - RoleOf relationship and Its meta model for design pattern instantiation VL - 3584 LNAI ID - 1533 ER - TY - JOUR AB - DATA SOURCES: Searches using the Medline, Cochrane and Embase databases and 'citation mining' (identifying references from included studies) were carried out. In addition, experts' recommendations for data sources were followed, and the table of contents of every issue of the most recent 2 years of a given list of dental journals were reviewed, the latter representing half of the total number of original research articles in English from the past 5 years on implant-supported crown (ISC), fixed partial dentures (FPD) and root canal (RC) therapy. Publication language was limited to English and grey literature was excluded, namely proceedings of conferences not listed in Medline, Cochrane or Embase databases, meetings and lectures. STUDY SELECTION: Comparative or noncomparative, prospective or retrospective longitudinal data were selected that related to clinical, biological, psychological and economic outcomes, as well as beneficial or harmful effects, of saving teeth by root canal treatment and/or alternative treatments, including: extracting the tooth and leaving an edentulous space or replacing the missing tooth with a fixed-partial-denture or implant-supported tooth. DATA EXTRACTION AND SYNTHESIS: Three pairs of investigators (each team dealing with one of the three main treatment options) independently searched, selected and extracted data for analysis. Tables of evidence were created from articles that met the validity criteria. Each selected paper was given a quality score, where the maximum possible was 17. Discussion and consensus were used to resolve disagreement. Interpretation of the outcome data and classification of data according to success or survival and the type of study were verified by two statisticians. Qualitative and quantitative methods were used to integrate the evidence. The data were analysed by deciding whether and what data to combine, and measuring the statistical heterogeneity of the data using Cochrane Q and I statistics. For the purpose of comparison, clinical outcomes were grouped into three time-intervals (2-4 years, 4-6 years and >6 years). Each discipline and followup interval from individual studies were displayed in a Forest plot with Wilson Score 95% confidence intervals. Meta-analysis produced pooled points and weighted averages. Psychosocial and economic outcome data was subjected to narrative review only. RESULTS: The 143 selected studies varied considerably in design, definition of success, assessment methods, operator type and sample size. Direct comparison of treatment types was extremely rare. Limited psychosocial data revealed the traumatic effect of loss of visible teeth. Economic data were largely absent. Success rates for ISC were higher than for RC treatment with direct or indirect restoration and FPD, respectively. Success criteria, however, differed greatly between treatment types, rendering direct comparison of success rates futile. Long-term survival rates for ISC and RC therapy were similar and superior to those for FPD. CONCLUSIONS: The lack of studies with similar outcome criteria and comparable time intervals limited the ability to make valid comparisons between these treatments. It was possible to conclude that ISC and RC treatments have superior long-term survival compared with FPD. Limited data suggested that extraction without replacement resulted in inferior psychosocial outcomes compared with alternatives. Long-term prospective clinical trials with large sample sizes and clearly defined outcome criteria are needed. AU - Balevi, Ben DA - 2008 DO - 10.1038/sj.ebd.6400565 IS - 1 J2 - Evid Based Dent L1 - internal-pdf://3386519677/Balevi-2008-Root canal therapy, fixed partial.pdf LA - eng PY - 2008 SN - 1476-5446 1462-0049 SP - 15-17 ST - Root canal therapy, fixed partial dentures and implant-supported crowns, have similar short term survival rates T2 - Evidence-based dentistry TI - Root canal therapy, fixed partial dentures and implant-supported crowns, have similar short term survival rates UR - http://www.nature.com/ebd/journal/v9/n1/pdf/6400565a.pdf VL - 9 ID - 328 ER - TY - JOUR AB - Rough set data analysis (RSDA), introduced by Pawlak (1982), has become a much researched method of knowledge discovery with over 1200 publications to date. One feature which distinguishes RSDA from other data analysis methods is that, in its original form, it gathers all its information from the given data, and does not make external model assumptions as all statistical and most machine learning methods (including decision tree procedures) do. The price which needs to be paid for the parsimony of this approach, however, is that some statistical backup is required, for example, to deal with random influences to which the observed data may be subjected. In supplementing RSDA by such meta-procedures care has to be taken that the same non-invasive principles are applied. In a sequence of papers and conference contributions, we have developed the components of a non-invasive method of data analysis, which is based on the RSDA principle, but is not restricted to classical RSDA applications. We present for the first time in a unified way the foundation and tools of such rough information analysis. AU - Duntsch, I. AU - Gediga, G. DA - 2001/01// DO - 10.1002/1098-111X(200101)16:1<121::AID-INT9>3.0.CO;2-Z IS - 1 J2 - International Journal of Intelligent Systems KW - data analysis data mining Information analysis rough set theory uncertainty handling L1 - internal-pdf://3538027085/Duntsch-2001-Roughian_ rough information analy.pdf PY - 2001 SN - 0884-8173 SP - 121-47 ST - Roughian: rough information analysis T2 - International Journal of Intelligent Systems TI - Roughian: rough information analysis UR - http://dx.doi.org/10.1002/1098-111X(200101)16:1%3C121::AID-INT9%3E3.0.CO;2-Z http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/1098-111X(200101)16:1%3C121::AID-INT9%3E3.0.CO;2-Z/asset/9_ftp.pdf?v=1&t=itirq0e0&s=b5921a9b1625eb8150ecbc3b542fc8850a5fa656 VL - 16 ID - 1366 ER - TY - CONF AB - Richly interlinked, machine-understandable data constitute the basis for the Semantic Web. We provide a framework, S-CREAM, that allows for creation of metadata and is trainable for a specific domain. Annotating Web documents is one of the major techniques for creating metadata on the Web. The implementation of S-CREAM, OntoMat-Annotizer supports the semi-automatic annotation of Web pages. This semi-automatic annotation is based on the information extraction component Amilcare. OntoMat-Annotizer extracts with the help of Amilcare, knowledge structure from Web pages through the use of knowledge extraction rules. These rules are the result of a learning-cycle based on already annotated pages. AU - Handschuh, S. AU - Staab, S. AU - Ciravegna, F. C3 - Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web. 13th International Conference, EKAW 2002. Proceedings, 1-4 Oct. 2002 DA - 2002 KW - formal specification Information analysis information retrieval Internet knowledge representation learning (artificial intelligence) meta data PB - Springer-Verlag PY - 2002 SP - 358-72 ST - S-CREAM - semi-automatic creation of metadata T3 - Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web. 13th International Conference, EKAW 2002. Proceedings (Lecture Notes in Artificial Intelligence Vol.2473) TI - S-CREAM - semi-automatic creation of metadata ID - 696 ER - TY - CONF AB - Metadata interoperability is crucial for various kinds of surveillance applications and systems, e.g. metadata mining in multi-sensor environments, metadata exchange in networked camera systems or information fusion in multi-sensor and multi-detector environments. Different metadata formats have been proposed to foster metadata interoperability, but they show significant limitations. ViPER, CVML and MPEG visual surveillance MAF support only the visual modality, CVML's frame based approach leads to inefficient representation, and MPEG-7's comprehensiveness handicaps its efficient usage for a specific application. To overcome these limitations we propose the surveillance application metadata (SAM) model, capable of describing online and offline analysis results as a set of time lines containing events. A set of sensors, detectors, recorded media items and object instances is described centrally and linked from the event descriptions. The time lines can be related to a subset of sensors and detectors for any modality and different levels of abstraction. Hierarchical classification schemes are used for many purposes, such as types of properties and their values, event types, object classes, coordinate systems etc. in order to allow for application specific adaptations without modifying the data model while ensuring the controlled use of terms. The model supports efficient representation of dense spatio-temporal information such as object trajectories. SAM is not bound to a specific serialization but can be mapped to different existing formats within the limitations evoked by the target format. SAM specifications and examples have been made available. AU - Schallauer, P. AU - Bailer, W. AU - Hofmann, A. AU - Morzinger, R. C3 - Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009, 15-16 April 2009 DA - 2009 DO - 10.1117/12.818481 KW - image classification image fusion image representation meta data open systems spatiotemporal phenomena video coding video surveillance PB - SPIE - The International Society for Optical Engineering PY - 2009 SN - 0277-786X SP - 73440C-(11 pp.) ST - SAM: an interoperable metadata model for multimodal surveillance applications T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE - Int. Soc. Opt. Eng. (USA) TI - SAM: an interoperable metadata model for multimodal surveillance applications UR - http://dx.doi.org/10.1117/12.818481 VL - 7344 ID - 811 ER - TY - JOUR AB - There are many knowledge-based data mining frameworks and it is common to think that new ones cannot come up with anything new. This article refutes such claims. We propose a sophisticated unification mechanism and two-tier machine cache system aimed at saving time and memory. No machine is run twice. Instead, machines are reused wherever they are repeatedly requested (regardless of request context). We also present an exceptional task spooler. Its unique design facilitates efficient automated management of large numbers of tasks with natural adjustment to available computational resources. Dedicated task scheduler cooperates with machine unification mechanism to save time and space. The solutions are possible thanks to very general and universal design of machine, configuration, machine context, unique machine life cycle, machine information exchange, configuration templates and other necessary concepts. Results gained by machines are stored in a uniform way, facilitating easy results exploration and collection by means of a special query system and versatile analysis with series transformations. No knowledge about internals of particular machines is necessary to extensively explore the results. The ideas presented here, have been implemented and verified inside Intemi framework for data mining and meta-learning tasks. They are general engine-level mechanisms that may be fruitful in all aspects of data analysis, all applications of knowledge-based data mining, computational intelligence, machine learning or neural networks methods. 2010 Elsevier B.V. All rights reserved. AU - Grbczewski, Krzysztof AU - Jankowski, Norbert DA - 2011 DO - 10.1016/j.knosys.2011.01.003 IS - 5 J2 - Knowledge-Based Systems KW - data mining Data reduction Intelligent systems Knowledge based systems Learning systems Machine design Neural networks L1 - internal-pdf://1254749154/Grbczewski-2011-Saving time and memory in comp.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 09507051 SP - 570-588 ST - Saving time and memory in computational intelligence system with machine unification and task spooling T2 - Knowledge-Based Systems TI - Saving time and memory in computational intelligence system with machine unification and task spooling UR - http://dx.doi.org/10.1016/j.knosys.2011.01.003 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0950705111000049/1-s2.0-S0950705111000049-main.pdf?_tid=b23c1fdc-8336-11e6-b2b5-00000aacb362&acdnat=1474818342_fc2f16ef5833a1d16312c735ea8f9020 VL - 24 ID - 1242 ER - TY - CONF AB - Data protection using backup is one of the most critical IT management operations to ensure business continuity, which is also constantly evolving due to the emerging challenges in the Big Data Era. In this paper, we introduce our ongoing research effort in designing intelligent enterprise backup management solutions by obtaining actionable insights from voluminous backup job metadata across data centers. Our proof-of-concept scalable data analytics framework integrated with enterprise backup architecture is introduced, and use case studies of leveraging big data analytics on enterprise backup framework are discussed. AU - Yang, Song AU - Routray, R. AU - Yangyang, Hou C3 - 2014 IEEE/IFIP Network Operations and Management Symposium (NOMS), 5-9 May 2014 DA - 2014 DO - 10.1109/NOMS.2014.6838291 KW - back-up procedures Big data business continuity business data processing computer centres data analysis data mining data protection meta data PB - IEEE PY - 2014 SP - 7-pp. ST - Scalable data analytics platform for enterprise backup management T3 - 2014 IEEE/IFIP Network Operations and Management Symposium (NOMS) TI - Scalable data analytics platform for enterprise backup management UR - http://dx.doi.org/10.1109/NOMS.2014.6838291 ID - 958 ER - TY - CONF AB - Big Data though it is a hype up-springing many technical challenges that confront both academic research communities and commercial IT deployment, the root sources of Big Data are founded on data streams. It is generally known that data which are sourced from data streams accumulate continuously making traditional batch-based model induction algorithms infeasible for real-time data mining or high-speed data analytics in a broad sense. In this paper, a novel data stream mining methodology, called Stream-based Holistic Analytics and Reasoning in Parallel (SHARP) is proposed. SHARP is based on principles of incremental learning which span across a typical data-mining model construction process, from lightweight feature selection, one-pass incremental decision tree induction, and incremental swarm optimization. Each one of these components in SHARP is designed to function together aiming at improving the classification/prediction performance to its best possible. SHARP is scalable, that depends on the available computing resources during runtime, the components can execute in parallel, collectively enhancing different aspects of the overall SHARP process for mining data streams. It is believed that if Big Data are being mined by incrementally learning a data mining model, one pass at a time on the fly, the large volume of such big data is no longer a technical issue, from the perspective of data analytics. Three computer simulation experimentations are shown in this paper, pertaining to three components of SHARP, for demonstrating its efficacy. 2014 IEEE. AU - Fong, Simon AU - Zhuang, Yan AU - Wong, Raymond AU - Mohammed, Sabah C3 - 2014 2nd International Symposium on Computational and Business Intelligence, ISCBI 2014, December 7, 2014 - December 8, 2014 DA - 2014 DO - 10.1109/ISCBI.2014.31 KW - Big data Classification (of information) Data communication systems data mining decision trees Evolutionary algorithms feature extraction Information analysis Trees (mathematics) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2014 SP - 110-115 ST - A Scalable Data Stream Mining Methodology: Stream-Based Holistic Analytics and Reasoning in Parallel T3 - Proceedings - 2014 2nd International Symposium on Computational and Business Intelligence, ISCBI 2014 TI - A Scalable Data Stream Mining Methodology: Stream-Based Holistic Analytics and Reasoning in Parallel UR - http://dx.doi.org/10.1109/ISCBI.2014.31 ID - 1664 ER - TY - JOUR AB - Although Web Search Engines index and provide access to huge amounts of documents, user queries typically return only a linear list of hits. While this is often satisfactory for focalized search, it does not provide an exploration or deeper analysis of the results. One way to achieve advanced exploration facilities exploiting the availability of structured (and semantic) data in Web search, is to enrich it with entity mining over the full contents of the search results. Such services provide the users with an initial overview of the information space, allowing them to gradually restrict it until locating the desired hits, even if they are low ranked. This is especially important in areas of professional search such as medical search, patent search, etc. In this paper we consider a general scenario of providing such services as meta-services (that is, layered over systems that support keywords search) without a-priori indexing of the underlying document collection(s). To make such services feasible for large amounts of data we use the MapReduce distributed computation model on a Cloud infrastructure (Amazon EC2). Specifically, we show how the required computational tasks can be factorized and expressed as MapReduce functions. A key contribution of our work is a thorough evaluation of platform configuration and tuning, an aspect that is often disregarded and inadequately addressed in prior work, but crucial for the efficient utilization of resources. Finally we report experimental results about the achieved speedup in various settings. 2013 Springer Science+Business Media New York. AU - Kitsos, Ioannis AU - Magoutis, Kostas AU - Tzitzikas, Yannis DA - 2014 DO - 10.1007/s10619-013-7133-7 IS - 3 J2 - Distributed and Parallel Databases KW - Big data cloud computing information retrieval Natural language processing systems Search Engines Semantics Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 09268782 SP - 405-446 ST - Scalable entity-based summarization of web search results using MapReduce T2 - Special Issue: Scalable Data Summarization on Big Data TI - Scalable entity-based summarization of web search results using MapReduce UR - http://dx.doi.org/10.1007/s10619-013-7133-7 VL - 32 ID - 662 ER - TY - JOUR AB - MOTIVATION: The diverse microarray datasets that have become available over the past several years represent a rich opportunity and challenge for biological data mining. Many supervised and unsupervised methods have been developed for the analysis of individual microarray datasets. However, integrated analysis of multiple datasets can provide a broader insight into genetic regulation of specific biological pathways under a variety of conditions. RESULTS: To aid in the analysis of such large compendia of microarray experiments, we present Microarray Experiment Functional Integration Technology (MEFIT), a scalable Bayesian framework for predicting functional relationships from integrated microarray datasets. Furthermore, MEFIT predicts these functional relationships within the context of specific biological processes. All results are provided in the context of one or more specific biological functions, which can be provided by a biologist or drawn automatically from catalogs such as the Gene Ontology (GO). Using MEFIT, we integrated 40 Saccharomyces cerevisiae microarray datasets spanning 712 unique conditions. In tests based on 110 biological functions drawn from the GO biological process ontology, MEFIT provided a 5% or greater performance increase for 54 functions, with a 5% or more decrease in performance in only two functions. AU - Huttenhower, Curtis AU - Hibbs, Matt AU - Myers, Chad AU - Troyanskaya, Olga G. DA - 2006/12/01/ DO - 10.1093/bioinformatics/btl492 IS - 23 J2 - Bioinformatics KW - *Algorithms *Databases, Genetic Bayes Theorem Gene Expression Profiling/*methods Information Storage and Retrieval/*methods Saccharomyces cerevisiae/*metabolism Saccharomyces cerevisiae Proteins/*metabolism Systems Integration L1 - internal-pdf://1540846267/Huttenhower-2006-A scalable method for integra.pdf LA - eng PY - 2006 SN - 1367-4811 1367-4803 SP - 2890-2897 ST - A scalable method for integration and functional analysis of multiple microarray datasets T2 - Bioinformatics (Oxford, England) TI - A scalable method for integration and functional analysis of multiple microarray datasets UR - http://bioinformatics.oxfordjournals.org/content/22/23/2890.full.pdf VL - 22 ID - 366 ER - TY - CONF AB - Meta-synthesis Approach (MSA) proposed by Prof. Qian is an oriental system methodology for complex problem solving. The essential idea of MSA can be simplified as "confident hypothesizing, rigorous validating", i.e. quantitative knowledge arises from qualitative understanding. Accordingly, creative thinking as a useful and practical technique for complex problem solving, is the unity of divergent thinking and convergent thinking which appear alternatively in the whole creative process of human thinking. In this paper, a computational scheme based on MSA is applied to solve the complex problems. Firstly, group argumentation environment (GAE) as a computerized tool is used to facilitate expert divergent thinking process (meeting) on the concerned topics and form scenario or hypotheses based on qualitative MSA. Then, a quantitative evaluation model had been building to analyze the centralization of the different scenarios, which can used to measure the efficient of different argumentation scenario. 2007 IEEE. AU - Liu, Yijun C3 - 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007, September 21, 2007 - September 25, 2007 DA - 2007 DO - 10.1109/WICOM.2007.1383 KW - Computer aided software engineering data mining Measurement theory Problem solving N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2007 SP - 5638-5641 ST - Scenario forming and evaluation analyzing T3 - 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007 TI - Scenario forming and evaluation analyzing UR - http://dx.doi.org/10.1109/WICOM.2007.1383 ID - 1363 ER - TY - CONF AB - In this position paper, we introduce our latest activities on architecture evolution analysis through software repository mining. The traditional approaches for software repository mining provide means for analyzing source-level information. However, we believe that software repository mining can also provide valuable results for analyzing the system evolution at the architectural level.There are two challenges for analyzing the architecture evolution. The first one is to have in place a process for recovering the architectural models of the various releases. Architecture evolution is often visible only in the evolution of the implementation and this complicates the monitoring process. The second one is to have access to the past design models that were created by the architects during the design phase. A practical solutions for versioning the architectural models is not in use yet and this complicates the possibility of accessing the past design decisions.Analyzing architecture evolution through software repository mining represents the most promising choice. In order to conduct the analysis through software repository mining, we introduce our meta-model covering the design and implementation spaces. Then, we define a set of scenarios that demonstrate the architecturally significant analysis that we can conduct by mining the software repository. Copyright 2006 ACM. AU - Yang, Yaojin AU - Riva, Claudio C3 - 2006 International Workshop on Mining Software Repositories, MSR '06, Co-located with the 28th International Conference on Software Engineering, ICSE 2006, May 20, 2006 - May 28, 2006 DA - 2006 DO - 10.1145/1137983.1137987 KW - Biology COMPUTER software Design Recovery software architecture N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2006 SN - 02705257 SP - 10-13 ST - Scenarios for mining the software architecture evolution T3 - Proceedings - International Conference on Software Engineering TI - Scenarios for mining the software architecture evolution UR - http://dx.doi.org/10.1145/1137983.1137987 ID - 1410 ER - TY - JOUR AU - Steinmann, Peter AU - Keiser, Jennifer AU - Bos, Robert AU - Tanner, Marcel AU - Utzinger, Jürg DA - 2006 DP - Google Scholar IS - 7 L1 - https://www.researchgate.net/profile/Xiao-Nong_Zhou/publication/6119791_Helminth_infections_and_risk_factor_analysis_among_residents_in_Eryuan_county_Yunnan_province_China/links/0deec51519051975eb000000.pdf#page=61 PY - 2006 SP - 411-425 ST - Schistosomiasis and water resources development T2 - The Lancet infectious diseases TI - Schistosomiasis and water resources development: systematic review, meta-analysis, and estimates of people at risk UR - http://www.sciencedirect.com/science/article/pii/S1473309906705217 https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.thelancet.com%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLGliB%252BRW%252F74SA%253D%253D%26MAID%3DcsS1%252FOlYMGHzV9PsFQ4MOw%253D%253D%26JSESSIONID%3DaaaGoiVXKpQ7o4kQIKwDv%26ORIGIN%3D74571825%26RD%3DRD&acw=&utt= VL - 6 Y2 - 2016/09/24/16:04:32 ID - 2418 ER - TY - CONF AB - CiteSeerx is a digital library that contains approximately 3.5 million scholarly documents and receives between 2 and 4 million requests per day. In addition to making documents available via a public Website, the data is also used to facilitate research in areas like citation analysis, co-author network analysis, scalability evaluation and information extraction. The papers in CiteSeerx are gathered from the Web by means of continuous automatic focused crawling and go through a series of automatic processing steps as part of the ingestion process. Given the size of the collection, the fact that it is constantly expanding, and the multiple ways in which it is used both by the public to access scholarly documents and for research, there are several big data challenges. In this paper, we provide a case study description of how we address these challenges when it comes to information extraction, data integration and entity linking in CiteSeerx. We describe how we: aggregate data from multiple sources on the Web; store and manage data; process data as part of an automatic ingestion pipeline that includes automatic metadata and information extraction; perform document and citation clustering; perform entity linking and name disambiguation; and make our data and source code available to enable research and collaboration. AU - Williams, K. AU - Jian, Wu AU - Choudhury, S. R. AU - Khabsa, M. AU - Giles, C. L. C3 - 2014 IEEE 30th International Conference on Data Engineering Workshops (ICDEW), 31 March-4 April 2014 DA - 2014 DO - 10.1109/ICDEW.2014.6818305 KW - Big data Citation Analysis data integration Digital Libraries information retrieval meta data pattern clustering Web sites PB - IEEE PY - 2014 SP - 68-73 ST - Scholarly big data information extraction and integration in the CiteSeerx digital library T3 - 2014 IEEE 30th International Conference on Data Engineering Workshops (ICDEW) TI - Scholarly big data information extraction and integration in the CiteSeerx digital library UR - http://dx.doi.org/10.1109/ICDEW.2014.6818305 ID - 1310 ER - TY - CHAP AB - Background Background Early malnutrition and/or micronutrient deficiencies can adversely affect physical, mental, and social aspects of child health. School feeding programs are designed to improve attendance, achievement, growth, and other health outcomes. Objectives Objectives The main objective was to determine the effectiveness of school feeding programs in improving physical and psychosocial health for disadvantaged school pupils . Search methods Search methods We searched a number of databases including CENTRAL (2006 Issue 2), MEDLINE (1966 to May 2006), EMBASE (1980 to May 2006), PsycINFO (1980 to May 2006) and CINAHL (1982 to May 2006). Grey literature sources were also searched. Reference lists of included studies and key journals were handsearched and we also contacted selected experts in the field. Selection criteria Selection criteria Data from randomized controlled trials (RCTs), non-randomised controlled clinical trials (CCTs), controlled before and after studies (CBAs), and interrupted time series studies (ITSs) were included. Feeding had to be done in school; the majority of participants had to be socio-economically disadvantaged. Data collection and analysis Data collection and analysis Two reviewers assessed all searches and retrieved studies. Data extraction was done by one of four reviewers and reviewed by a second. Two reviewers independently rated quality. If sufficient data were available, they were synthesized using random effects meta-analysis, adjusting for clustering if needed. Analyses were performed separately for RCTs and CBAs and for higher and lower income countries. Main results Main results We included 18 studies. For weight, in the RCTs and CBAs from Lower Income Countries, experimental group children gained an average of 0.39 kg (95% C.I: 0.11 to 0.67) over an average of 19 months and 0.71 kg (95% C.I.: 0.48 to 0.95) over 11.3 months respectively. Results for weight were mixed in higher income countries. For height, results were mixed; height gain was greater for younger children. Attendance in lower income countries was higher in experimental groups than in controls; our results show an average increase of 4 to 6 days a year. Math gains were consistently higher for experimental groups in lower income countries; in CBAs, the Standardized Mean Difference was 0.66 (95% C.I. = 0.13 to 1.18). In short-term studies, small improvements in some cognitive tasks were found. Authors' conclusions Authors' conclusions School meals may have some small benefits for disadvantaged children. We recommend further well-designed studies on the effectiveness of school meals be undertaken, that results should be reported according to socio-economic status, and that researchers gather robust data on both processes and carefully chosen outcomes. AU - Kristjansson, Betsy AU - Petticrew, Mark AU - MacDonald, Barbara AU - Krasevec, Julia AU - Janzen, Laura AU - Greenhalgh, Trish AU - Wells, George A. AU - MacGowan, Jessie AU - Farmer, Anna P. AU - Shea, Beverley AU - Mayhew, Alain AU - Tugwell, Peter AU - Welch, Vivian DP - Wiley Online Library LA - en PB - John Wiley & Sons, Ltd PY - 2007 ST - School feeding for improving the physical and psychosocial health of disadvantaged students T2 - Cochrane Database of Systematic Reviews TI - School feeding for improving the physical and psychosocial health of disadvantaged students UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD004676.pub2/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD004676.pub2/full Y2 - 2016/09/18/20:15:38 ID - 414 ER - TY - JOUR AB - To capture all pertinent data during spinal cord injury animal experimentation, the authors have designed and implemented a database that is available for use under a public license. Their goals were to record all daily medical care of paraplegic animals, including unexpected complications; to store all injury parameters and/or therapeutic procedures; to track locomotor scores and other measures of functional recovery; to allow planning and management of experiments; and to serve as an externally linkable, SQL-queryable data mining source. Ultimately, the use of databases such as this will allow multiple neurotrauma laboratories to compare animal data through web meta-analysis. AU - Weeks, Jeffrey AU - Hart, Ronald P. DA - 2004/03//undefined DO - 10.1038/laban0304-35 IS - 3 J2 - Lab Anim (NY) KW - *Animals, Laboratory *Databases, Factual *Disease Models, Animal Animal Husbandry Animals Spinal Cord Injuries/physiopathology/therapy/*veterinary LA - eng PY - 2004 SN - 0093-7355 0093-7355 SP - 35-41 ST - SCI-Base: an open-source spinal cord injury animal experimentation database T2 - Lab animal TI - SCI-Base: an open-source spinal cord injury animal experimentation database VL - 33 ID - 326 ER - TY - JOUR AB - OBJECTIVE: Many different types of bias have been described. Some biases may tend to coexist or be associated with specific research settings, fields, and types of studies. We aimed to map systematically the terminology of bias across biomedical research. STUDY DESIGN AND SETTING: We used advanced text-mining and clustering techniques to evaluate 17,265,924 items from PubMed (1958-2008). We considered 235 bias terms and 103 other terms that appear commonly in articles dealing with bias. RESULTS: Forty bias terms were used in the title or abstract of more than 100 articles each. Pseudo-inclusion clustering identified 252 clusters of terms. The clusters were organized into macroscopic maps that cover a continuum of research fields. The resulting maps highlight which types of biases tend to co-occur and may need to be considered together and what biases are commonly encountered and discussed in specific fields. Most of the common bias terms have had continuous use over time since their introduction, and some (in particular confounding, selection bias, response bias, and publication bias) show increased usage through time. CONCLUSION: This systematic mapping offers a dynamic classification of biases in biomedical investigation and related fields and can offer insights for the multifaceted aspects of bias. AU - Chavalarias, David AU - Ioannidis, John P. A. DA - 2010/11//undefined DO - 10.1016/j.jclinepi.2009.12.011 IS - 11 J2 - J Clin Epidemiol KW - Biomedical Research/methods/standards/*statistics & numerical data Cluster Analysis Data Mining/statistics & numerical data Humans Publication Bias/*statistics & numerical data PubMed/statistics & numerical data Selection Bias L1 - internal-pdf://0037487770/Chavalarias-2010-Science mapping analysis char.pdf LA - eng PY - 2010 SN - 1878-5921 0895-4356 SP - 1205-1215 ST - Science mapping analysis characterizes 235 biases in biomedical research T2 - Journal of clinical epidemiology TI - Science mapping analysis characterizes 235 biases in biomedical research UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0895435610000223/1-s2.0-S0895435610000223-main.pdf?_tid=5e7c7096-8330-11e6-9403-00000aacb35d&acdnat=1474815625_570a7eb10fe0c5ffa84f253befcd0ccd VL - 63 ID - 351 ER - TY - JOUR AB - Providing historical scientific information to deal with knowledge loss about scientific experiment is a strategical question in scientific research. One key aspect is the reuse of generated knowledge. Provenance data, extracted from multiple sources, must be reused in order to provide strategical information for scientists, including also inferred information based on these data. SciProv consists of an architecture that aims to interact with Scientific Workflow Management Systems (SWfMS) for capturing and managing provenance metadata. This work adopts an approach based on a standard model to represent the lineage and to handle distributed and heterogeneous provenance metadata. Using ontologies and inference engines, SciProv provides resources to make inferences about provenance data and to obtain important results considering the extraction of information beyond those that are explicitly registered. The paper also presents proof of concept in bioinformatics domain. AU - Gaspar, W. AU - Braga, R. AU - Campos, F. AU - David, J. M. N. AU - Ornelas, T. DA - 2015 IS - 2 J2 - International Journal of Metadata, Semantics and Ontologies KW - bioinformatics inference mechanisms meta data ontologies (artificial intelligence) relational databases Semantic Web PY - 2015 SN - 1744-2621 SP - 123-38 ST - Scientific provenance metadata capture and management using Semantic Web T2 - International Journal of Metadata, Semantics and Ontologies TI - Scientific provenance metadata capture and management using Semantic Web VL - 10 ID - 733 ER - TY - JOUR AU - de Almeida Biolchini, Jorge Calmon AU - Mian, Paula Gomes AU - Natali, Ana Candida Cruz AU - Conte, Tayana Uchôa AU - Travassos, Guilherme Horta DA - 2007 DP - Google Scholar IS - 2 L1 - internal-pdf://4179937802/de Almeida Biol-2007-Scientific research ontol.pdf PY - 2007 SP - 133-151 ST - Scientific research ontology to support systematic review in software engineering T2 - Advanced Engineering Informatics TI - Scientific research ontology to support systematic review in software engineering UR - http://www.sciencedirect.com/science/article/pii/S147403460600070X http://ac.els-cdn.com.ezproxy.lib.vt.edu/S147403460600070X/1-s2.0-S147403460600070X-main.pdf?_tid=ea845512-8331-11e6-b9ab-00000aab0f27&acdnat=1474816289_a6a7a3f09dd28b5376a9ba5496e87b31 VL - 21 Y2 - 2016/09/24/15:34:52 ID - 2332 ER - TY - JOUR AU - Bekhuis, Tanja AU - Demner-Fushman, Dina DA - 2012 DP - Google Scholar IS - 3 L1 - internal-pdf://0238962600/Bekhuis-2012-Screening nonrandomized studies f.pdf PY - 2012 SP - 197-207 ST - Screening nonrandomized studies for medical systematic reviews T2 - Artificial intelligence in medicine TI - Screening nonrandomized studies for medical systematic reviews: a comparative study of classifiers UR - http://www.sciencedirect.com/science/article/pii/S0933365712000620 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3393813/ https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.aiimjournal.com%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLFhx%252B6Ws3Nrug%253D%253D%26MAID%3D%252B%252BdV6uYg46%252FLaBL1Y5Tbqw%253D%253D%26JSESSIONID%3DaaaIGiDfjivzKaJygmwDv%26ORIGIN%3D831040708%26RD%3DRD&acw=&utt= https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3393813/pdf/nihms378928.pdf VL - 55 Y2 - 2016/09/24/15:33:48 ID - 2324 ER - TY - JOUR AB - Background: RNAi screening is a powerful method to study the genetics of intracellular processes in metazoans. Technically, the approach has been largely inspired by techniques and tools developed for compound screening, including those for data analysis. However, by contrast with compounds, RNAi inducing agents can be linked to a large body of gene-centric, publically available data. However, the currently available software applications to analyze RNAi screen data usually lack the ability to visualize associated gene information in an interactive fashion.Results: Here, we present ScreenSifter, an open-source desktop application developed to facilitate storing, statistical analysis and rapid and intuitive biological data mining of RNAi screening datasets. The interface facilitates meta-data acquisition and long-term safe-storage, while the graphical user interface helps the definition of a hit list and the visualization of biological modules among the hits, through Gene Ontology and protein-protein interaction analyses. The application also allows the visualization of screen-to-screen comparisons.Conclusions: Our software package, ScreenSifter, can accelerate and facilitate screen data analysis and enable discovery by providing unique biological data visualization capabilities. 2013 Kumar et al.; licensee BioMed Central Ltd. AU - Kumar, Pankaj AU - Goh, Germaine AU - Wongphayak, Sarawut AU - Moreau, Dimitri AU - Bard, Frederic DA - 2013 DO - 10.1186/1471-2105-14-290 IS - 1 J2 - BMC Bioinformatics KW - Application programs Database systems data mining Data reduction Data visualization Digital storage Genes Graphical user interfaces Proteins visualization L1 - internal-pdf://2309886782/Kumar-2013-ScreenSifter_ Analysis and visualiz.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 14712105 ST - ScreenSifter: Analysis and visualization of RNAi screening data T2 - BMC Bioinformatics TI - ScreenSifter: Analysis and visualization of RNAi screening data UR - http://dx.doi.org/10.1186/1471-2105-14-290 https://www-ncbi-nlm-nih-gov.ezproxy.lib.vt.edu/pmc/articles/PMC4014807/pdf/1471-2105-14-290.pdf VL - 14 ID - 1687 ER - TY - CONF AB - Some research has been done in order to define metamodels for Spatial Data Warehouses (SDW) modeling. However, we observe that most of these works propose metamodels that mix concepts of DW modeling (i.e. dimensions and their descriptive attributes) with concepts of OLAP modeling (i.e. hierarchies and their levels). We understand that this mix is a possible limitation, because a DW (conventional or spatial) is essentially a large data repository, which can be analyzed/queried by any data analysis technology (e.g. GIS, Data Mining and OLAP). With aim of overcoming such limitation, in this paper we propose a SDW metamodel, named Spatial Data Warehouse Metamodel (SDWM), which describes constructors and restrictions needed to model SDW schemas. We have implemented a CASE tool according to our metamodel and, by exploiting this tool, we have designed two demonstrative SDW schemas. AU - Cuzzocrea, Alfredo AU - Do Nascimento Fidalgo, Robson C3 - CAiSE 2012 Forum at the 24th International Conference on Advanced Information Systems Engineering, CAiSE 2012, June 28, 2012 - June 28, 2012 DA - 2012 KW - data structures Data warehouses Information systems Systems engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - CEUR-WS PY - 2012 SN - 16130073 SP - 32-39 ST - SDWM: An enhanced spatial data warehouse metamodel T3 - CEUR Workshop Proceedings TI - SDWM: An enhanced spatial data warehouse metamodel VL - 855 ID - 820 ER - TY - JOUR AB - OBJECTIVE: Searching the medical literature for evidence on prognosis is an important aspect of evidence-based disability evaluation. To facilitate this, we aimed to develop and evaluate a comprehensive and efficient search strategy in PubMed, to be used by either researchers or practitioners and that will identify articles on the prognosis of work disability. METHODS: We used a diagnostic test analytic framework. First, we created a reference set of 225 articles on the prognosis of work disability by screening a total of 65,692 titles and abstracts from10 journals in the period 2000-2009. Included studies had a minimum follow-up of 6 months, participants in the age of 18-64 with a minimum sick leave of 4 weeks or longer or having serious activity limitations in 50% of the cases and outcome measures that reflect impairments, activity limitations or participation restrictions. Using text mining methods, we extracted search terms from the reference set and, according to sensitivity and relative frequency, we combined these into search strings. RESULTS: Both the research and the practice search filter outperformed existing filters in occupational health, all combined with the Yale-prognostic filter. The Work Disability Prognosis filter for Research showed a comprehensiveness of 90% (95% CI 86 to 94) and efficiency expressed more user-friendly as Number Needed to Read=20 (95% CI 17 to 34). CONCLUSIONS: The Work Disability Prognosis filter will help practitioners and researchers who want to find prognostic evidence in the area of work disability evaluation. However, further refining of this filter is possible and needed, especially for the practitioner for whom efficiency is especially important. AU - Kok, Rob AU - Verbeek, Jos A. H. M. AU - Faber, Babs AU - van Dijk, Frank J. H. AU - Hoving, Jan L. DA - 2015 DO - 10.1136/bmjopen-2014-006315 IS - 5 J2 - BMJ Open KW - *Disability Evaluation *Information Seeking Behavior *MEDLINE *Occupational Health *Research *Sick Leave Diagnostic Tests, Routine Disabled Persons epidemiology Humans OCCUPATIONAL & INDUSTRIAL MEDICINE Practice Patterns, Physicians' Prognosis Public health L1 - internal-pdf://1594769883/Kok-2015-A search strategy to identify studies.pdf LA - eng PY - 2015 SN - 2044-6055 2044-6055 SP - e006315 ST - A search strategy to identify studies on the prognosis of work disability: a diagnostic test framework T2 - BMJ open TI - A search strategy to identify studies on the prognosis of work disability: a diagnostic test framework UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4442145/pdf/bmjopen-2014-006315.pdf VL - 5 ID - 361 ER - TY - JOUR AB - OBJECTIVE: Healthcare debates and policy developments are increasingly concerned with a broad range of values-related areas. These include not only ethical, moral, religious, and other types of values 'proper', but also beliefs, preferences, experiences, choices, satisfaction, quality of life, etc. Research on such issues may be difficult to retrieve. This study used word frequency analysis to generate a broad pool of search terms and a brief filter to facilitate relevant searches in bibliographic databases. METHODS: Word frequency analysis for 'values terms' was performed on citations on diabetes, obesity, dementia, and schizophrenia (Medline; 2004-2006; 4440 citations; 1,110,291 words). Concordance(R) and SPSS 14.0 were used. Text words and MeSH terms of high frequency and precision were compiled into a search filter. It was validated on datasets of citations on dentistry and food hypersensitivity. RESULTS: 144 unique text words and 124 unique MeSH terms of moderate and high frequency (>/= 20) and very high precision (>/= 90%) were identified. Of these, 19 text words and seven MeSH terms were compiled into a 'brief values filter'. In the derivation dataset, it had a sensitivity of 76.8% and precision of 86.8%. In the validation datasets, its sensitivity and precision were, respectively, 70.1% and 63.6% (food hypersensitivity) and 47.1% and 82.6% (dentistry). CONCLUSIONS: This study provided a varied pool of search terms and a simple and highly effective tool for retrieving publications on health-related values. Further work is required to facilitate access to such research and enhance its chances of being translated into practice, policy, and service improvements. AU - Petrova, Mila AU - Sutcliffe, Paul AU - Fulford, K. W. M. Bill AU - Dale, Jeremy DA - 2012/06//May- undefined DO - 10.1136/amiajnl-2011-000243 IS - 3 J2 - J Am Med Inform Assoc KW - *Ethics, Medical *MEDLINE *Social Values data mining Humans Information Storage and Retrieval/*methods Medical Subject Headings Sensitivity and specificity LA - eng PY - 2012 SN - 1527-974X 1067-5027 SP - 479-488 ST - Search terms and a validated brief search filter to retrieve publications on health-related values in Medline: a word frequency analysis study T2 - Journal of the American Medical Informatics Association : JAMIA TI - Search terms and a validated brief search filter to retrieve publications on health-related values in Medline: a word frequency analysis study VL - 19 ID - 342 ER - TY - JOUR AB - BACKGROUND: When literature searching for systematic reviews, it is good practice to search widely across different information sources. Little is known about the contributions of different publication formats (e.g. journal article and book chapter) and sources, especially for studies of people's views. METHOD: Studies from four reviews spanning three public health areas (active transport, motherhood and obesity) were analysed in terms of publication formats and the information sources they were identified from. They comprised of 229 studies exploring people's perceptions, beliefs and experiences ('views studies') and were largely qualitative. RESULTS: Although most (61%) research studies were published within journals, nearly a third (29%) were published as research reports and 5% were published in books. The remainder consisted of theses, conference papers and raw datasets. Two-thirds of studies (66%) were located in a total of 19 bibliographic databases, and 15 databases provided studies that were not identified elsewhere. PubMed was a good source for all reviews. Supplementary information sources were important for identifying studies in all publication formats. CONCLUSIONS: Undertaking sensitive searches across a range of information sources is essential for locating views studies in all publication formats. We discuss some benefits and challenges of utilising different information sources. AU - Stansfield, Claire AU - Brunton, Ginny AU - Rees, Rebecca DA - 2014/06//undefined DO - 10.1002/jrsm.1100 IS - 2 J2 - Res Synth Methods KW - *Research Report *Review Literature as Topic bibliographic databases Data Mining/*methods Evidence-Based Medicine information retrieval information sources Periodicals as Topic/*classification/*statistics & numerical data publication format Public health Public Health/*classification/statistics & numerical data qualitative research LA - eng PY - 2014 SN - 1759-2887 1759-2879 SP - 142-151 ST - Search wide, dig deep: literature searching for qualitative research. An analysis of the publication formats and information sources used for four systematic reviews in public health T2 - Research synthesis methods TI - Search wide, dig deep: literature searching for qualitative research. An analysis of the publication formats and information sources used for four systematic reviews in public health VL - 5 ID - 110 ER - TY - JOUR AB - BACKGROUND: It is unclear which terms should be included in bibliographic searches for randomized controlled trials (RCTs) of drugs, and identifying relevant drug terms can be extremely laborious. The aim of our analysis was to determine whether a bibliographic search using only the generic drug name produces sufficient results for the generation of informative systematic reviews (SRs). METHODS: We conducted a retrospective analysis of relevant references included in SRs of drugs. We determined the proportion of references identified by a simplified technique consisting of a systematic search for RCTs in MEDLINE and EMBASE via the search interface Ovid and using only the truncated generic drug name in all search fields. We calculated aggregated sensitivity and also evaluated the unidentified references. RESULTS: Forty-eight SRs contained 873 primary publications, of which we found 829 in MEDLINE and 757 in EMBASE ("gold standard"). The simplified search identified 823 of the 829 MEDLINE references (sensitivity 99.3%) and 754 of the 757 EMBASE references (99.6%). Ultimately, only three references could not be found by additional searches. CONCLUSION: Our findings indicate that when searching for RCTs of drugs in MEDLINE and EMBASE, a search using the truncated generic drug name in all fields produces sufficient results. AU - Waffenschmidt, Siw AU - Guddat, Charlotte DA - 2015/06//undefined DO - 10.1002/jrsm.1138 IS - 2 J2 - Res Synth Methods KW - *Natural Language Processing *Review Literature as Topic comprehensive literature search for SRs Databases, Bibliographic/*statistics & numerical data Data Mining/*methods Drug Evaluation Drug Labeling/classification/statistics & numerical data Drugs, Generic/*classification generic drug name Information storage and retrieval MEDLINE/statistics & numerical data Randomized Controlled Trials as Topic Randomized Controlled Trials as Topic/*statistics & numerical data Review Literature as Topic search strategy Vocabulary, Controlled LA - eng PY - 2015 SN - 1759-2887 1759-2879 SP - 188-194 ST - Searches for randomized controlled trials of drugs in MEDLINE and EMBASE using only generic drug names compared with searches applied in current practice in systematic reviews T2 - Research synthesis methods TI - Searches for randomized controlled trials of drugs in MEDLINE and EMBASE using only generic drug names compared with searches applied in current practice in systematic reviews VL - 6 ID - 95 ER - TY - JOUR AB - There is ongoing interest in including grey literature in systematic reviews. Including grey literature can broaden the scope to more relevant studies, thereby providing a more complete view of available evidence. Searching for grey literature can be challenging despite greater access through the Internet, search engines and online bibliographic databases. There are a number of publications that list sources for finding grey literature in systematic reviews. However, there is scant information about how searches for grey literature are executed and how it is included in the review process. This level of detail is important to ensure that reviews follow explicit methodology to be systematic, transparent and reproducible. The purpose of this paper is to provide a detailed account of one systematic review team's experience in searching for grey literature and including it throughout the review. We provide a brief overview of grey literature before describing our search and review approach. We also discuss the benefits and challenges of including grey literature in our systematic review, as well as the strengths and limitations to our approach. Detailed information about incorporating grey literature in reviews is important in advancing methodology as review teams adapt and build upon the approaches described. AU - Mahood, Quenby AU - Van Eerd, Dwayne AU - Irvin, Emma DA - 2014/09//undefined DO - 10.1002/jrsm.1106 IS - 3 J2 - Res Synth Methods KW - *Databases, Bibliographic *Peer Review, Research *Periodicals as Topic *Review Literature as Topic *Search Engine Data Mining/*methods grey literature literature searching natural language processing systematic reviews Vocabulary, Controlled L1 - internal-pdf://0628175010/Mahood_et_al-2014-Research_Synthesis_Methods.pdf LA - eng PY - 2014 SN - 1759-2887 1759-2879 SP - 221-234 ST - Searching for grey literature for systematic reviews: challenges and benefits T2 - Research synthesis methods TI - Searching for grey literature for systematic reviews: challenges and benefits VL - 5 ID - 68 ER - TY - JOUR AB - Marburg virus (family Filoviridae) causes sporadic outbreaks of severe hemorrhagic disease in sub-Saharan Africa. Bats have been implicated as likely natural reservoir hosts based most recently on an investigation of cases among miners infected in 2007 at the Kitaka mine, Uganda, which contained a large population of Marburg virus-infected Rousettus aegyptiacus fruit bats. Described here is an ecologic investigation of Python Cave, Uganda, where an American and a Dutch tourist acquired Marburg virus infection in December 2007 and July 2008. More than 40,000 R. aegyptiacus were found in the cave and were the sole bat species present. Between August 2008 and November 2009, 1,622 bats were captured and tested for Marburg virus. Q-RT-PCR analysis of bat liver/spleen tissues indicated similar to 2.5% of the bats were actively infected, seven of which yielded Marburg virus isolates. Moreover, Q-RT-PCR-positive lung, kidney, colon and reproductive tissues were found, consistent with potential for oral, urine, fecal or sexual transmission. The combined data for R. aegyptiacus tested from Python Cave and Kitaka mine indicate low level horizontal transmission throughout the year. However, Q-RT-PCR data show distinct pulses of virus infection in older juvenile bats (similar to six months of age) that temporarily coincide with the peak twice-yearly birthing seasons. Retrospective analysis of historical human infections suspected to have been the result of discrete spillover events directly from nature found 83% (54/65) events occurred during these seasonal pulses in virus circulation, perhaps demonstrating periods of increased risk of human infection. The discovery of two tags at Python Cave from bats marked at Kitaka mine, together with the close genetic linkages evident between viruses detected in geographically distant locations, are consistent with R. aegyptiacus bats existing as a large meta-population with associated virus circulation over broad geographic ranges. These findings provide a basis for developing Marburg hemorrhagic fever risk reduction strategies. AU - Amman, Brian R. AU - Carroll, Serena A. AU - Reed, Zachary D. AU - Sealy, Tara K. AU - Balinandi, Stephen AU - Swanepoel, Robert AU - Kemp, Alan AU - Erickson, Bobbie Rae AU - Comer, James A. AU - Campbell, Shelley AU - Cannon, Deborah L. AU - Khristova, Marina L. AU - Atimnedi, Patrick AU - Paddock, Christopher D. AU - Crockett, Rebekah J. Kent AU - Flietstra, Timothy D. AU - Warfield, Kelly L. AU - Unfer, Robert AU - Katongole-Mbidde, Edward AU - Downing, Robert AU - Tappero, Jordan W. AU - Zaki, Sherif R. AU - Rollin, Pierre E. AU - Ksiazek, Thomas G. AU - Nichol, Stuart T. AU - Towner, Jonathan S. DA - 2012/10// DO - 10.1371/journal.ppat.1002877 IS - 10 L1 - internal-pdf://2040651434/Amman-2012-Seasonal Pulses of Marburg Virus Ci.pdf PY - 2012 SN - 1553-7374 SP - e1002877 ST - Seasonal Pulses of Marburg Virus Circulation in Juvenile Rousettus aegyptiacus Bats Coincide with Periods of Increased Risk of Human Infection T2 - Plos Pathogens TI - Seasonal Pulses of Marburg Virus Circulation in Juvenile Rousettus aegyptiacus Bats Coincide with Periods of Increased Risk of Human Infection UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3464226/pdf/ppat.1002877.pdf VL - 8 ID - 2244 ER - TY - CONF AB - Organizations have suffered an increase in cyber attacks in recent years. For this reason, they need to guarantee confidentiality, integrity and availability of their information assets. To do this, they should seek support from security architectures. Security patterns are a good way to design security architectures, but most current security patterns are not applicable to this field. In a previous work, we defined a new pattern template to support the design of security architectures. After that work, we realized that it was necessary to discover and identify new security patterns adapted to this template, in order to facilitate the work of those security engineers who design architectures. A good way to discover and identify new patterns is pattern mining; therefore, in this paper we have carried out a Systematic Review (SR) of security pattern mining. After performing the SR, we have reached the conclusion that the proposals analyzed do not fulfill all main requirements to cover our needs. That's the reason why we have defined a high-level architecture of a new framework to discover, design and document security patterns focused on the design of security architectures. Copyright 2011 SciTePress. AU - Moral-Garcia, Santiago AU - Moral-Rubio, Santiago AU - Fernandez-Medina, Eduardo C3 - 8th International Workshop on Security in Information Systems, WOSIS 2011, in Conjunction with ICEIS 2011, June 8, 2011 - June 11, 2011 DA - 2011 KW - Architecture Availability Design Information systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - SciTePress PY - 2011 SP - 13-24 ST - Security pattern mining: Systematic review and proposal T3 - Proceedings of the 8th International Workshop on Security in Information Systems, WOSIS 2011, in Conjunction with ICEIS 2011 TI - Security pattern mining: Systematic review and proposal ID - 1596 ER - TY - JOUR AU - Delen, Dursun AU - Crossland, Martin D. DA - 2008 DP - Google Scholar IS - 3 L1 - internal-pdf://3119541757/Delen-2008-Seeding the survey and analysis of.pdf PY - 2008 SP - 1707-1720 ST - Seeding the survey and analysis of research literature with text mining T2 - Expert Systems with Applications TI - Seeding the survey and analysis of research literature with text mining UR - http://www.sciencedirect.com/science/article/pii/S0957417407000486 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0957417407000486/1-s2.0-S0957417407000486-main.pdf?_tid=3ebc5706-8332-11e6-8dcf-00000aacb35f&acdnat=1474816430_2b4a2848d48717f575e9a75a9098307e VL - 34 Y2 - 2016/09/24/15:37:30 ID - 2359 ER - TY - JOUR AU - Rzhetsky, Andrey AU - Seringhaus, Michael AU - Gerstein, Mark DA - 2008 DP - Google Scholar IS - 1 PY - 2008 SP - 9-13 ST - Seeking a new biology through text mining T2 - Cell TI - Seeking a new biology through text mining UR - http://www.sciencedirect.com/science/article/pii/S0092867408008167 https://secure.jbs.elsevierhealth.com/action/consumeSsoCookie?redirectUri=http%3A%2F%2Fwww.cell.com%2Faction%2FconsumeSharedSessionAction%3FSERVER%3DWZ6myaEXBLFhx%252B6Ws3Nrug%253D%253D%26MAID%3Ds4FxtTMK7IvOjiBZ7C1h%252BA%253D%253D%26JSESSIONID%3DaaapMcL9yOEHqhjLgmwDv%26ORIGIN%3D265085227%26RD%3DRD&acw=&utt= VL - 134 Y2 - 2016/09/24/15:36:22 ID - 2346 ER - TY - JOUR AB - While the human medial prefrontal cortex (mPFC) is widely believed to be a key node of neural networks relevant for socio-emotional processing, its functional subspecialization is still poorly understood. We thus revisited the often assumed differentiation of the mPFC in social cognition along its ventral-dorsal axis. Our neuroinformatic analysis was based on a neuroimaging meta-analysis of perspective-taking that yielded two separate clusters in the ventral and dorsal mPFC, respectively. We determined each seed region's brain-wide interaction pattern by two complementary measures of functional connectivity: co-activation across a wide range of neuroimaging studies archived in the BrainMap database and correlated signal fluctuations during unconstrained ("resting") cognition. Furthermore, we characterized the functions associated with these two regions using the BrainMap database. Across methods, the ventral mPFC was more strongly connected with the nucleus accumbens, hippocampus, posterior cingulate cortex, and retrosplenial cortex, while the dorsal mPFC was more strongly connected with the inferior frontal gyrus, temporo-parietal junction, and middle temporal gyrus. Further, the ventral mPFC was selectively associated with reward related tasks, while the dorsal mPFC was selectively associated with perspective-taking and episodic memory retrieval. The ventral mPFC is therefore predominantly involved in bottom-up-driven, approach/avoidance-modulating, and evaluation-related processing, whereas the dorsal mPFC is predominantly involved in top-down-driven, probabilistic-scene-informed, and metacognition-related processing in social cognition. AU - Bzdok, Danilo AU - Langner, Robert AU - Schilbach, Leonhard AU - Engemann, Denis A. AU - Laird, Angela R. AU - Fox, Peter T. AU - Eickhoff, Simon B. DA - 2013 DO - 10.3389/fnhum.2013.00232 J2 - Front Hum Neurosci KW - data-mining functional decoding medial prefrontal cortex meta-analytic connectivity modeling resting state connectivity Social Cognition L1 - internal-pdf://3333574076/Bzdok-2013-Segregation of the human medial pre.pdf LA - eng PY - 2013 SN - 1662-5161 1662-5161 SP - 232 ST - Segregation of the human medial prefrontal cortex in social cognition T2 - Frontiers in human neuroscience TI - Segregation of the human medial prefrontal cortex in social cognition UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3665907/pdf/fnhum-07-00232.pdf VL - 7 ID - 250 ER - TY - CONF AB - Bucharest is a densely populated city and has a high seismic risk. A major part of the city's buildings have an inadequate seismic protection level. A widespread residential building called "Section R" totalizing thousands apartment units in Bucharest was assessed using Response Surface Methodology. The building was designed according to a low level seismic code. Response surface meta-models were obtained selecting the parameters with the highest influence on structural response using the "Design of experiments". For the analyzed structure the most important uncertainties were considered the ones related to the material. Monte Carlo simulations were performed using probability distributions for the characteristic parameters of the structure. The cumulative distribution functions for the maximum interstorey drift were obtained in both longitudinal and transverse directions at various levels of peak ground acceleration. Finally the fragility curves were obtained using the performance levels provided by FEMA 356. SGEM2013 All Rights Reserved by the International Multidisciplinary Scientific GeoConference SGEM. AU - Tanase, Florenta Nicoleta C3 - 13th International Multidisciplinary Scientific Geoconference and EXPO, SGEM 2013, June 16, 2013 - June 22, 2013 DA - 2013 DO - 10.5593/SGEM2013/BA1.V2/S05.025 KW - Buildings Design of experiments Distribution functions Housing Intelligent systems Monte Carlo methods Probability distributions Seismic design Seismology Structural design Surface properties Uncertainty analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Multidisciplinary Scientific Geoconference PY - 2013 SN - 13142704 SP - 871-878 ST - Seismic vulnerability assessment of a widespread RC shear wall residential building located in bucharest using response surface methodology T3 - International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM TI - Seismic vulnerability assessment of a widespread RC shear wall residential building located in bucharest using response surface methodology UR - http://dx.doi.org/10.5593/SGEM2013/BA1.V2/S05.025 VL - 2 ID - 650 ER - TY - CONF AB - Data mining tools often include a workbench of algorithms to model a given dataset but lack sufficient guidance to select the most accurate algorithm according to the nature of the dataset. The most accurate algorithm is not known in advance and no single model format is superior for all datasets. An a priori comparison experiment to determine which algorithm leads to the most optimal model fit could offer relief but is rather time consuming. A meta model which is able to predict and explain which model would fit best could address this problem. The relevance of such a meta model increases with the number and runtime of algorithms under consideration and the size of the dataset. In this paper a novel meta model is proposed to automatically provide support to the user about whether to use a linear, spline, tree, linear tree or linear spline model, given a particular dataset. This study distinguishes itself from previous meta learning studies by focusing on comprehensible regression models, regression specific dataset characteristics, artificially generated datasets and a score based user recommendation. 2012 IEEE. AU - Loterman, Gert AU - Mues, Christophe C3 - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012, December 10, 2012 - December 10, 2012 DA - 2012 DO - 10.1109/ICDMW.2012.68 KW - Algorithms data mining Forestry Regression Analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 953-960 ST - Selecting accurate and comprehensible regression algorithms through meta learning T3 - Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012 TI - Selecting accurate and comprehensible regression algorithms through meta learning UR - http://dx.doi.org/10.1109/ICDMW.2012.68 ID - 1701 ER - TY - CONF AB - In performing data mining, a common task is to search for the most appropriate algorithm(s) to retrieve important information from data. With an increasing number of available data mining techniques, it may be impractical to experiment with many techniques on a specific dataset of interest to find the best algorithm(s). In this paper, we demonstrate the suitability of tree-based multi-variable linear regression in predicting algorithm performance. We take into account prior machine learning experience to construct meta-knowledge for supervised learning. The idea is to use summary knowledge about datasets along with past performance of algorithms on these datasets to build this meta-knowledge. We augment pure statistical summaries with descriptive features and a misclassification cost, and discover that transformed datasets obtained by reducing a high dimensional feature space to a smaller dimension still retain significant characteristic knowledge necessary to predict algorithm performance. Our approach works well for both numerical and nominal data obtained from real world environments. 2015 IEEE. AU - Doan, Tri AU - Kalita, Jugal C3 - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015, November 14, 2015 - November 17, 2015 DA - 2015 DO - 10.1109/ICDMW.2015.43 KW - Algorithms artificial intelligence data mining Learning algorithms Learning systems Regression Analysis Trees (mathematics) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 1498-1505 ST - Selecting Machine Learning Algorithms Using Regression Models T3 - Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 TI - Selecting Machine Learning Algorithms Using Regression Models UR - http://dx.doi.org/10.1109/ICDMW.2015.43 ID - 1029 ER - TY - JOUR AB - In many branches of modern science, researchers first study or mine large datasets, and then select the parameters they estimate and the data they use and publish. Such data-based selection complicates formal statistical inference. An example discussed here for the purpose of illustration, is that of pharmaceutical companies that typically conduct many experiments but may publish only selected data. The selection often depends on the outcomes of the experiments since naturally there is interest in potentially useful drugs, and it is in general unclear how it should affect inference. Is this effect the same for the company and the public? Does it matter if they are Bayesian or frequentist? Should the company reveal all experiments it conducts and, if so, how should this change the conclusions'? This note discusses these questions in terms of a simple example of a sequence of binomial experiments conducted by a pharmaceutical company, where results are published only if the number of "failures" is small. We do not suggest that this example corresponds to reality in the pharmaceutical industry, nor in science in general; our goal is to elaborate on the importance and difficulties of taking selection into account when performing statistical analysis. AU - Mandel, Micha AU - Rinott, Yosef DA - 2009/08// DO - 10.1198/tast.2009.08243 IS - 3 PY - 2009 SN - 0003-1305 SP - 211-217 ST - A Selection Bias Conflict and Frequentist versus Bayesian Viewpoints T2 - American Statistician TI - A Selection Bias Conflict and Frequentist versus Bayesian Viewpoints VL - 63 ID - 1909 ER - TY - CHAP AB - Background Background This review is an update of the first Cochrane publication on selenium for preventing cancer (Dennert 2011). Selenium is a metalloid with both nutritional and toxicological properties. Higher selenium exposure and selenium supplements have been suggested to protect against several types of cancers. Objectives Objectives Two research questions were addressed in this review: What is the evidence for: 1. an aetiological relation between selenium exposure and cancer risk in humans? and 2. the efficacy of selenium supplementation for cancer prevention in humans? Search methods Search methods We conducted electronic searches of the Cochrane Central Register of Controlled Trials (CENTRAL, 2013, Issue 1), MEDLINE (Ovid, 1966 to February 2013 week 1), EMBASE (1980 to 2013 week 6), CancerLit (February 2004) and CCMed (February 2011). As MEDLINE now includes the journals indexed in CancerLit, no further searches were conducted in this database after 2004. Selection criteria Selection criteria We included prospective observational studies (cohort studies including sub-cohort controlled studies and nested case-control studies) and randomised controlled trials (RCTs) with healthy adult participants (18 years of age and older). Data collection and analysis Data collection and analysis For observational studies, we conducted random effects meta-analyses when five or more studies were retrieved for a specific outcome. For RCTs, we performed random effects meta-analyses when two or more studies were available. The risk of bias in observational studies was assessed using forms adapted from the Newcastle-Ottawa Quality Assessment Scale for cohort and case-control studies; the criteria specified in the Cochrane Handbook for Systematic Reviews of Interventions were used to evaluate the risk of bias in RCTs. Main results Main results We included 55 prospective observational studies (including more than 1,100,000 participants) and eight RCTs (with a total of 44,743 participants). For the observational studies, we found lower cancer incidence (summary odds ratio (OR) 0.69, 95% confidence interval (CI) 0.53 to 0.91, N = 8) and cancer mortality (OR 0.60, 95% CI 0.39 to 0.93, N = 6) associated with higher selenium exposure. Gender-specific subgroup analysis provided no clear evidence of different effects in men and women (P value 0.47), although cancer incidence was lower in men (OR 0.66, 95% CI 0.42 to 1.05, N = 6) than in women (OR 0.90, 95% CI 0.45 to 1.77, N = 2). The most pronounced decreases in risk of site-specific cancers were seen for stomach, bladder and prostate cancers. However, these findings have limitations due to study design, quality and heterogeneity that complicate interpretation of the summary statistics. Some studies suggested that genetic factors may modify the relation between selenium and cancer risk—a hypothesis that deserves further investigation. In RCTs, we found no clear evidence that selenium supplementation reduced the risk of any cancer (risk ratio (RR) 0.90, 95% CI 0.70 to 1.17, two studies, N = 4765) or cancer-related mortality (RR 0.81, 95% CI 0.49 to 1.32, two studies, N = 18,698), and this finding was confirmed when the analysis was restricted to studies with low risk of bias. The effect on prostate cancer was imprecise (RR 0.90, 95% CI 0.71 to 1.14, four studies, N = 19,110), and when the analysis was limited to trials with low risk of bias, the interventions showed no effect (RR 1.02, 95% CI 0.90 to 1.14, three studies, N = 18,183). The risk of non-melanoma skin cancer was increased (RR 1.44, 95% CI 0.95 to 1.17, three studies, N = 1900). Results of two trials—the Nutritional Prevention of Cancer Trial (NPCT) and the Selenium and Vitamin E Cancer Trial (SELECT)—also raised concerns about possible increased risk of type 2 diabetes, alopecia and dermatitis due to selenium supplements. An early hypothesis generated by NPCT that individuals with the lowest blood selenium levels at baseline could reduce their risk of cancer, particularly of prostate cancer, by increasing selenium intake has not been confirmed by subsequent trials. As the RCT participants were overwhelmingly male (94%), gender differences could not be systematically assessed. Authors' conclusions Authors' conclusions Although an inverse association between selenium exposure and the risk of some types of cancer was found in some observational studies, this cannot be taken as evidence of a causal relation, and these results should be interpreted with caution. These studies have many limitations, including issues with assessment of exposure to selenium and to its various chemical forms, heterogeneity, confounding and other biases. Conflicting results including inverse, null and direct associations have been reported for some cancer types. RCTs assessing the effects of selenium supplementation on cancer risk have yielded inconsistent results, although the most recent studies, characterised by a low risk of bias, found no beneficial effect on cancer risk, more specifically on risk of prostate cancer, as well as little evidence of any influence of baseline selenium status. Rather, some trials suggest harmful effects of selenium exposure. To date, no convincing evidence suggests that selenium supplements can prevent cancer in humans. AU - Vinceti, Marco AU - Dennert, Gabriele AU - Crespi, Catherine M. AU - Zwahlen, Marcel AU - Brinkman, Maree AU - Zeegers, Maurice P. A. AU - Horneber, Markus AU - D'Amico, Roberto AU - Del Giovane, Cinzia DP - Wiley Online Library L1 - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD005195.pub3/pdf LA - en PB - John Wiley & Sons, Ltd PY - 2014 ST - Selenium for preventing cancer T2 - Cochrane Database of Systematic Reviews TI - Selenium for preventing cancer UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD005195.pub3/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD005195.pub3/full Y2 - 2016/09/18/20:15:38 ID - 417 ER - TY - JOUR AB - More than 80% of biomedical data is embedded in plain text. The unstructured nature of these text-based documents makes it challenging to easily browse and query the data of interest in them. One approach to facilitate browsing and querying biomedical text is to convert the plain text to a linked web of data, i.e., converting data originally in free text to structured formats with defined meta-level semantics. In this paper, we introduce Semantator (Semantic Annotator), a semantic-web-based environment for annotating data of interest in biomedical documents, browsing and querying the annotated data, and interactively refining annotation results if needed. Through Semantator, information of interest can be either annotated manually or semi-automatically using plug-in information extraction tools. The annotated results will be stored in RDF and can be queried using the SPARQL query language. In addition, semantic reasoners can be directly applied to the annotated data for consistency checking and knowledge inference. Semantator has been released online and was used by the biomedical ontology community who provided positive feedbacks. Our evaluation results indicated that (1) Semantator can perform the annotation functionalities as designed; (2) Semantator can be adopted in real applications in clinical and transactional research; and (3) the annotated results using Semantator can be easily used in Semantic-web-based reasoning tools for further inference. [All rights reserved Elsevier]. AU - Cui, Tao AU - Dezhao, Song AU - Sharma, D. AU - Chute, C. G. DA - 2013/10// DO - 10.1016/j.jbi.2013.07.003 IS - 5 J2 - Journal of Biomedical Informatics KW - data structures interactive systems medical information systems meta data ontologies (artificial intelligence) query processing Semantic Web text analysis Word processing L1 - internal-pdf://0952062949/Cui-2013-Semantator_ semantic annotator for co.pdf PY - 2013 SN - 1532-0464 SP - 882-93 ST - Semantator: semantic annotator for converting biomedical text to linked data T2 - Journal of Biomedical Informatics TI - Semantator: semantic annotator for converting biomedical text to linked data UR - http://dx.doi.org/10.1016/j.jbi.2013.07.003 http://ac.els-cdn.com/S1532046413001020/1-s2.0-S1532046413001020-main.pdf?_tid=8b498d9c-8331-11e6-956f-00000aab0f6c&acdnat=1474816129_a0efb94e145ebb953fb608475f92342c VL - 46 ID - 987 ER - TY - CONF AB - Law Enforcement Agencies (LEAs) are increasingly more reliant on information and communication technologies and affected by a society shaped by the Internet. The richness and quantity of information available from open sources, if properly gathered and processed, can provide valuable intelligence and help in drawing inferences from existing closed source intelligence. Today the intelligence cycle is characterized by manual collection and integration of data. Named Entity Recognition (NER) plays a fundamental role in Open Source Intelligence (OSINT) solutions when fighting crime. This paper describes the implementation of a NER-based focused web crawler under the EU FP7 Security Research Project CAPER (Collaborative information, Acquisition, Processing, Exploitation and Reporting for the prevention of organized crime). The crawler allows 1. to look for documents starting from a URL until a parametric depth of levels - also specifying a keyword that has to be contained in the page and in the related links - and 2. to look for a parametric number of documents starting from a keyword (entrusting the keyword search to one of the principal search engines, thus behaving as a meta-search engine). In addition, the crawler is able to retrieve only those documents that contain the information semantically relevant to the query (in other words: the required keyword with the required sense). This is achieved through the use of NER technologies. In this paper we present the CAPER NER-based Semantic Crawler, which has been proven to be a suitable tool for focused crawling, allowing LEAs to drastically reduce data collection and integration efforts. AU - Di Pietro, Giulia AU - Aliprandi, Carlo AU - De Luca, Antonio E. AU - Raffaelli, Matteo AU - Soru, Tiziana C3 - 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, August 17, 2014 - August 20, 2014 DA - 2014 DO - 10.1109/ASONAM.2014.6921661 KW - Crime data integration Internet Natural language processing systems Search Engines Semantics Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2014 SP - 695-699 ST - Semantic crawling: An approach based on Named Entity Recognition T3 - ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining TI - Semantic crawling: An approach based on Named Entity Recognition UR - http://dx.doi.org/10.1109/ASONAM.2014.6921661 ID - 746 ER - TY - CONF AB - Engineering models are computer-based models that enclose technical data issued from engineering domains. Those models usually implicit many of the details required to understand and interpret the data. In this context, integrating the results of models and querying the heterogeneous information is a challenge. In order to address the issue of handling heterogeneous models, we propose to annotate the engineering models with concepts of the ontologies of the specific engineering domains. We describe here the proposal of a semantic annotation meta-model, which extends an ontology-based database architecture with constructs that allow to tag engineering models using ontology concepts. This work is inspired from a petroleum engineering case study, and we validate our approach by presenting an implementation of this case. AU - Mastella, Laura Silveira AU - Ait-Ameury, Yamine AU - Jean, Stphane AU - Perrin, Michel AU - Rainaud, Jean-Francois C3 - 2009 3rd International Conference on Research Challenges in Information Science, RCIS 2009, April 22, 2009 - April 24, 2009 DA - 2009 DO - 10.1109/RCIS.2009.5089276 KW - data handling Geologic models INFORMATION science Integration Interoperability Metadata Mining engineering ontology Petroleum analysis Petroleum engineering Research Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2009 SP - 129-138 ST - Semantic exploitation of persistent metadata in engineering models: Application to geological models T3 - Proceedings of the 2009 3rd International Conference on Research Challenges in Information Science, RCIS 2009 TI - Semantic exploitation of persistent metadata in engineering models: Application to geological models UR - http://dx.doi.org/10.1109/RCIS.2009.5089276 ID - 805 ER - TY - JOUR AB - In its core, the Semantic Web is about the creation, collection and interlinking of metadata on which agents can perform tasks for human users. While many tools and approaches support either the creation or usage of semantic metadata, there is neither a proper notion of metadata need, nor a related theory of guidance which metadata should be created. In this paper, we address the issue of why and how metadata is provided for the public Semantic Web. In particular, we introduce a mechanism called semantic need which targets to support knowledge providers. It is based on the principle of aggregating unsatisfied information needs in order to recommend the sharing or capturing of semantic metadata. We describe the abstract architecture, algorithms and an empirical analysis of information gaps in public Semantic Web applications. AU - Happel, H. J. DA - 2011 DO - 10.1504/IJKEDM.2011.040654 IS - 4 J2 - International Journal of Knowledge Engineering and Data Mining KW - information needs meta data Semantic Web Software agents PY - 2011 SN - 1755-2087 SP - 350-69 ST - Semantic need: an approach for guiding users contributing metadata to the Semantic Web T2 - International Journal of Knowledge Engineering and Data Mining TI - Semantic need: an approach for guiding users contributing metadata to the Semantic Web UR - http://dx.doi.org/10.1504/IJKEDM.2011.040654 VL - 1 ID - 937 ER - TY - CONF AB - Recently heterogeneous information network (HIN) analysis has attracted a lot of attention, and many data mining tasks have been exploited on HIN. As an important data mining task, recommender system includes a lot of object types (e.g., users, movies, actors, and interest groups in movie recommendation) and the rich relations among object types, which naturally constitute a HIN. The comprehensive information integration and rich semantic information of HIN make it promising to generate better recommendations. However, conventional HINs do not consider the attribute values on links, and the widely used meta path in HIN may fail to accurately capture semantic relations among objects, due to the existence of rating scores (usually ranging from 1 to 5) between users and items in recommender system. In this paper, we are the first to propose the weighted HIN and weighted meta path concepts to subtly depict the path semantics through distinguishing different link attribute values. Furthermore, we propose a semantic path based personalized recommendation method SemRec to predict the rating scores of users on items. Through setting meta paths, SemRec not only flexibly integrates heterogeneous information but also obtains prioritized and personalized weights representing user preferences on paths. Experiments on two real datasets illustrate that SemRec achieves better recommendation performance through flexibly integrating information with the help of weighted meta paths. 2015 ACM. AU - Shi, Chuan AU - Zhang, Zhiqiang AU - Luo, Ping AU - Yu, Philip S. AU - Yue, Yading AU - Wu, Bin C3 - 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, October 19, 2015 - October 23, 2015 DA - 2015 DO - 10.1145/2806416.2806528 KW - data mining Information services Knowledge management Recommender systems Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2015 SP - 453-462 ST - Semantic path based personalized recommendation on weighted heterogeneous information networks T3 - International Conference on Information and Knowledge Management, Proceedings TI - Semantic path based personalized recommendation on weighted heterogeneous information networks UR - http://dx.doi.org/10.1145/2806416.2806528 VL - 19-23-Oct-2015 ID - 1254 ER - TY - CONF AB - The Semantic Content Organization and Retrieval Engine (SCORE) is among the earliest commercialized Semantic Web technologies. Based on supporting and exploiting domain specific ontologies, it offers advanced capability in heterogeneous content processing analysis and integration at a higher semantic level - rather than merely syntactical and structural level approaches based on XML and RDF. These capabilities are demonstrated in addressing requirements of very demanding homeland security and national security applications. We briefly describe two of them. AU - Avant, D. AU - Baum, M. AU - Bertram, C. AU - Fisher, M. AU - Sheth, A. AU - Warke, Y. C3 - ACM CIKM 2002, 11th International Conference on Information and Knowledge Management, 4-9 Nov. 2002 DA - 2002 DO - 10.1145/584792.584893 KW - data mining Information analysis information retrieval Internet meta data Security PB - ACM PY - 2002 SP - 611-13 ST - Semantic technology applications for homeland security T3 - Proceedings of the Eleventh International Conference on Information and Knowledge Management. CIKM 2002 TI - Semantic technology applications for homeland security UR - http://dx.doi.org/10.1145/584792.584893 http://dl.acm.org/citation.cfm?doid=584792.584893 ID - 1272 ER - TY - JOUR AB - One of the most important decisions researchers face when analyzing software systems is the choice of a proper data analysis/exchange format. In this paper, we present EvoOnt, a set of software ontologies and data exchange formats based on OWL. EvoOnt models software design, release history information, and bug-tracking meta-data. Since OWL describes the semantics of the data, EvoOnt (1) is easily extendible, (2) can be processed with many existing tools, and (3) allows to derive assertions through its inherent Description Logic reasoning capabilities. The contribution of this paper is that it introduces a novel software evolution ontology that vastly simplifies typical software evolution analysis tasks. In detail, we show the usefulness of EvoOnt by repeating selected software evolution and analysis experiments from the 2004-2007 Mining Software Repositories Workshops (MSR). We demonstrate that if the data used for analysis were available in EvoOnt then the analyses in 75% of the papers at MSR could be reduced to one or at most two simple queries within off-the-shelf SPARQL tools. In addition, we present how the inherent capabilities of the Semantic Web have the potential of enabling new tasks that have not yet been addressed by software evolution researchers, e.g., due to the complexities of the data integration. 2010 Elsevier B.V. AU - Tappolet, Jonas AU - Kiefer, Christoph AU - Bernstein, Abraham DA - 2010 DO - 10.1016/j.websem.2010.04.009 IS - 2-3 J2 - Journal of Web Semantics KW - Biology COMPUTER software Data description data handling Multi agent systems ontology Semantics Semantic Web Software Design World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2010 SN - 15708268 SP - 225-240 ST - Semantic web enabled software analysis T2 - Journal of Web Semantics TI - Semantic web enabled software analysis UR - http://dx.doi.org/10.1016/j.websem.2010.04.009 VL - 8 ID - 1417 ER - TY - CONF AB - Discovering significant meta-information from document collections is a critical factor for knowledge distribution and preservation. This paper presents a system that implements intelligent document processing techniques, by combining strategies for the layout analysis of electronic documents with incremental first-order learning in order to automatically classify the documents and their layout components according to their semantics. Indeed, an in-deep analysis of specific layout components can allow the extraction of useful information to improve the semantic-based document storage and retrieval tasks. The viability of the proposed approach is confirmed by experiments run in the real-world application domain of scientific papers. AU - Esposito, F. AU - Ferilli, S. AU - Basile, T. M. A. AU - Di Mauro, N. C3 - Foundations of Intelligent Systems. 15th International Symposium, ISMIS 2005. Proceedings, 25-28 May 2005 DA - 2005 KW - Database management systems data mining information retrieval Internet learning (artificial intelligence) pattern classification PB - Springer-Verlag PY - 2005 SP - 373-81 ST - Semantic-based access to digital document databases T3 - Foundations of Intelligent Systems. 15th International Symposium, ISMIS 2005. Proceedings (Lecture Notes in Artificial Intelligence Vol. 3488) TI - Semantic-based access to digital document databases ID - 1044 ER - TY - CHAP A2 - Li, G. Z. A2 - Kim, S. A2 - Hughes, M. A2 - McLachlan, G. A2 - Sun, H. A2 - Hu, X. A2 - Ressom, H. A2 - Liu, B. A2 - Liebman, M. AB - Continued surveillance of post-marketing Adverse Drug Events (ADEs) is considered essential for patient safety, and Electronic Health Records (EHRs) serve as a critical source for identifying relevant information. But effective EHR knowledge discovery and data mining is not trivial because involved data usually have significantly different semantics among each other. Semantic technologies are believed to greatly assist in this regard; unfortunately, semantic technologies and conventional data mining remain largely separate disciplines, and the fusion of these two disciplines is still in its infancy. This position paper explores two semantics-driven frequent data pattern mining algorithms for EHR knowledge discovery, aiming at more effective ADE monitoring in a population. By effectively utilizing human knowledge formally encoded in EHR domain ontologies, our proposed algorithms will enhance the identification of the drug ADE causality out of large amounts of heterogeneous data sets. Through mining a large corpus of representative EHRs at semantic level, we will be able to compile a comprehensive list of ADE endpoints by obtaining critical, but originally hidden and implicit, frequent data patterns. Ultimately, our software to be developed will significantly facilitate effective ADE monitoring and prediction. Moreover, our research is expected to produce broader impacts on the pharmaceutical industry by reducing the R & D cost for new drug discovery and on transforming current pharmacovigilance methods to reduce adverse events and hence improve human health. AU - Huang, Jingshan AU - Huan, Jun AU - Tropsha, Alexander AU - Dang, Jiangbo AU - Zhang, He AU - Xiong, Min PY - 2013 SN - 978-1-4799-1309-1 978-1-4799-1310-7 ST - Semantics-Driven Frequent Data Pattern Mining on Electronic Health Records for Effective Adverse Drug Event Monitoring T2 - 2013 Ieee International Conference on Bioinformatics and Biomedicine (bibm) TI - Semantics-Driven Frequent Data Pattern Mining on Electronic Health Records for Effective Adverse Drug Event Monitoring ID - 2053 ER - TY - CONF AB - In this paper we present a system called paperBase that aids users in entering metadata for pre prints. PaperBase extracts metadata from the preprint. Using a Dublin-Core based REST API, third-party repository software populates a web form that the user can then proofread and complete. PaperBase also predicts likely keywords for the pre prints, based on a controlled vocabulary of keywords that the archive uses and a Bayesian classifier. We have tested the system on 12 individuals, and measured the time that it took them to enter data, and the accuracy of the entered metadata. We find that our system appears to be faster than manual entry, but a larger sample needs to be tested before it can be deemed statistically significant. All but two participants perceived it to be faster. Some metadata, in particular the title of preprints, contains significantly fewer mistakes when entered automatically; even though the automatic system is not perfect, people tend to correct mistakes that paperBase makes, but would leave their own mistakes in place. AU - Tonkin, E. AU - Muller, H. L. C3 - Joint Conference on Digital Libraries (JCDL 2008), 15-19 June 2008 DA - 2008 DO - 10.1145/1378889.1378917 KW - Bayes methods data mining information retrieval meta data text analysis PB - ACM PY - 2008 SP - 157-66 ST - Semi automated metadata extraction for preprints archives T3 - Joint Conference on Digital Libraries (JCDL 2008) TI - Semi automated metadata extraction for preprints archives UR - http://dx.doi.org/10.1145/1378889.1378917 ID - 1198 ER - TY - CONF AB - With the wide array of multi scale, multi-modal data now available for disease characterization, the major challenge in integrated disease diagnostics is to able to represent the different data streams in a common framework while overcoming differences in scale and dimensionality. This common knowledge representation framework is an important pre-requisite to develop integrated meta-classifiers for disease classification. In this paper, we present a unified data fusion framework, Semi Supervised Multi Kernel Graph Embedding (SeSMiK-GE). Our method allows for representation of individual data modalities via a combined multi-kernel framework followed by semi- supervised dimensionality reduction, where partial label information is incorporated to embed high dimensional data in a reduced space. In this work we evaluate SeSMiK-GE for distinguishing (a) benign from cancerous (CaP) areas, and (b) aggressive high-grade prostate cancer from indolent low-grade by integrating information from 1.5 Tesla in vivo Magnetic Resonance Imaging (anatomic) and Spectroscopy (metabolic). Comparing SeSMiK-GE with unimodal T2w, MRS classifiers and a previous published non-linear dimensionality reduction driven combination scheme (ScEPTre) yielded classification accuracies of (a) 91.3% (SeSMiK), 66.1% (MRI), 82.6% (MRS) and 86.8% (ScEPTre) for distinguishing benign from CaP regions, and (b) 87.5% (SeSMiK), 79.8% (MRI), 83.7% (MRS) and 83.9% (ScEPTre) for distinguishing high and low grade CaP over a total of 19 multi-modal MRI patient studies. 2010 Springer-Verlag. AU - Tiwari, Pallavi AU - Kurhanewicz, John AU - Rosen, Mark AU - Madabhushi, Anant C3 - 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, September 20, 2010 - September 24, 2010 DA - 2010 DO - 10.1007/978-3-642-15711-0_83 KW - Classifiers Clustering algorithms data mining Data reduction Diseases knowledge representation Magnetic Resonance Imaging medical computing Medical imaging Modal analysis Resonance N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2010 SN - 03029743 SP - 666-673 ST - Semi Supervised Multi Kernel (SeSMiK) graph embedding: Identifying aggressive prostate cancer via magnetic resonance imaging and spectroscopy T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Semi Supervised Multi Kernel (SeSMiK) graph embedding: Identifying aggressive prostate cancer via magnetic resonance imaging and spectroscopy UR - http://dx.doi.org/10.1007/978-3-642-15711-0_83 VL - 6363 LNCS ID - 1078 ER - TY - JOUR AU - Wallace, Byron C. AU - Trikalinos, Thomas A. AU - Lau, Joseph AU - Brodley, Carla AU - Schmid, Christopher H. DA - 2010 DP - Google Scholar IS - 1 L1 - internal-pdf://3516616716/art%253A10.1186%252F1471-2105-11-55.pdf PY - 2010 SP - 1 ST - Semi-automated screening of biomedical citations for systematic reviews T2 - BMC bioinformatics TI - Semi-automated screening of biomedical citations for systematic reviews UR - http://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-11-55 VL - 11 Y2 - 2016/09/24/15:32:42 ID - 2308 ER - TY - JOUR AB - In order to improve the clustering result of semi-structured texts, it needs to reduce the dimension and sparsity. To reduce the dimensions of semi-structured texts clustering, aimed at meta-data of semi-structured texts, we build the metadata feature vectors. Based on the domain concepts model, we build domain vector based on the domain concepts tree (set). With the help of the WordNet, we compute semantic similarity between the metadata feature vector and the domain vector. Finally, the clustering algorithm is designed to cluster semi-structured texts based on the semantic similarity between metadata feature vectors and domain vectors. The analysis shows that the clustering algorithm is feasible and has higher clustering accurate rate. It can ease the problem of lacking domain ontology and has the ability to improve the clustering quality. AU - Zhang Pei, Yun AU - Chen En, Hong AU - Huang, Bo DA - 2013/04/30/ IS - 3 J2 - Journal of Theoretical and Applied Information Technology KW - data mining Data reduction meta data pattern clustering text analysis tree data structures Vectors PY - 2013 SN - 1992-8645 SP - 649-55 ST - A semi-structured texts clustering algorithm T2 - Journal of Theoretical and Applied Information Technology TI - A semi-structured texts clustering algorithm VL - 50 ID - 1316 ER - TY - JOUR AB - The growing use of computer systems in medical institutions has been generating a tremendous quantity of data. While these data have a critical role in assisting physicians in the clinical practice, the information that can be extracted goes far beyond this utilization. This article proposes a platform capable of assembling multiple data sources within a medical imaging laboratory, through a network of intelligent sensors. The proposed integration framework follows a SOA hybrid architecture based on an information sensor network, capable of collecting information from several sources in medical imaging laboratories. Currently, the system supports three types of sensors: DICOM repository meta-data, network workflows and examination reports. Each sensor is responsible for converting unstructured information from data sources into a common format that will then be semantically indexed in the framework engine. The platform was deployed in the Cardiology department of a central hospital, allowing identification of processes' characteristics and users' behaviours that were unknown before the utilization of this solution. AU - Bastiao Silva, Luis A. AU - Campos, Samuel AU - Costa, Carlos AU - Oliveira, Jose Luis DA - 2014/08// DO - 10.1007/s10916-014-0063-8 IS - 8 L1 - internal-pdf://3692101153/Bastiao Silva-2014-Sensor-Based Architecture f.pdf PY - 2014 SN - 0148-5598 SP - 63 ST - Sensor-Based Architecture for Medical Imaging Workflow Analysis T2 - Journal of Medical Systems TI - Sensor-Based Architecture for Medical Imaging Workflow Analysis VL - 38 ID - 2021 ER - TY - JOUR AB - SENTIERI Project (Studio Epidemiologico Nazionale dei Territori e degli Insediamenti Esposti a Rischio da Inquinamento) was started in 2007 and completed in June 2010; the results are published in two Supplements in the Italian journal Epidemiologia & Prevenzione. This first Supplement presents the evaluation of the epidemiological evidence on the association between 63 causes of death and selected environmental exposures. Criteria and procedures adopted for the evaluation are described in detail for the sites of national interest for environmental remediation, defined as Italian Polluted Sites (IPS). The second Supplement will present the results of the mortality analysis for the 44 IPSs included in the project, together with comments and forewarnings on further epidemiological characterization of these areas. SENTIERI Project is aimed at assessing IPSs residents' health status through the analysis of mortality for the period 1995-2002, to set priorities in remediation intervention and so prevent environment-related diseases. For the 52 sites defined in 2007 by Italian legislation, data were collected for environmental characterization. Besides landfills, located in 26 IPSs, in the sites qualified for remediation there are many plants producing/using chemicals. Another large group of production settlements is represented by plants in which asbestos and other mineral fibers are utilized. Steel plants, refineries and petrochemicals are similarly distributed throughout the Italian territory. Power plants are mostly found in the Centre and in the South; mines/quarries and harbour areas are in some of the IPSs. Some sites, consisting in districts of large urban areas, were excluded from the study because mortality data were available only at municipal level. Moreover, some of the sites included in the IPSs group, were also excluded mainly because they comprised landfills treating mostly urban/inert wastes, and were placed outside residential areas, therefore they could not pose any human health risk. The total number of sites included in the analysis of SENTIERI project is 44; they are located in 17 Italian Regions; 21 of them are situated in the North, 8 in the Centre and 15 in the South. The decrees defining IPSs boundaries provide also information about the type of production facilities active in the bounded areas. SENTIERI project analyses mortality data by adopting a methodology also used in previous Italian studies of high-risk areas. Mortality was chosen as outcome at study based on the availability and validity of death certificate data at national and local level, even for specific diseases. Exposures for which epidemiological evidence was assessed are distinguished in IPS sources of environmental exposure and other exposures. The former are defined on legislative basis and can affect residents (they are coded as chemicals, petrochemicals and refineries, steel plants, power plants, mines and/or quarries, harbour areas, asbestos or other mineral fibers, landfills and incinerators). The latter (other exposures) were considered for their ascertained health effects. They are: air pollution, active and passive smoking, alcohol intake, occupational exposure and socioeconomic status. SENTIERI Working Group (WG) developed a framework to examine the epidemiological literature; it identifies a hierarchy in the literature sources used to classify each combination of cause of death and exposure in terms of strength of the association. This hierarchy relies on the epidemiological community consensus, on assessments based on the application of standardized criteria, weighting the study design and the occurrence of biased results. Statistical re-analysis, literature review, multi-centric study and single investigation were also considered. Therefore, to put forward the assessment, criteria firstly favoured primary sources and quantitative meta-analysis and, secondly, consistency among sources. The evaluation was based on sources published from 1998 to 2009. According to the above mentioned criteria, the epidemiological evide ce of the association between cause of death and exposure was classified in three categories: Sufficient (S), Limited (L) and Inadequate (I). The absence of any sign means that epidemiological data referring to the association between cause of death and exposure are not available in primary sources, quantitative meta-analysis, reviews, multi centric studies and single studies. In the present report a causal association was judged to be present (Sufficient) only for malignant pleural cancer and residence in areas contaminated by asbestos or other mineral fibers and around mines or quarries. Limited evidence for a causal association existed for 17 causes of death and a total of 7 environmental exposures in the polluted area. The evidence was Inadequate for 42 causes of deaths and all sources of environmental exposure. No epidemiological data were available for the remaining cause of death/exposure combinations. It must be pointed out that a larger and more consistent body of epidemiological evidence was available for the association between the causes analysed in SENTIERI and air pollution, smoking, alcohol, socioeconomic status and occupation (other exposures). SENTIERI WG agreed that the epidemiological evaluation of the evidence here bestowed, will be used to comment and interpret results; their reading will focus on the causes of death for which it is established or reasonably assumed an etiological role of the environmental exposures in IPSs, also considering the potential etiologic effect of these other exposures. The added value of the epidemiological evidence evaluation is the chance to categorise the etiological hypotheses persuasiveness when epidemiological studies of polluted sites are carried out. The a priori account of assumptions allows to contain the problems related to post hoc observations and multiple comparisons and, more generally, grants the increase of confidence in interpreting causes for the observed associations. The present Report is the starting point of a multi-disciplinary and multi-phase process leading to a full epidemiological characterisation of polluted areas. Future applications and validations are to be envisaged. AU - Ancona, Carla AU - Ascoli, Valeria AU - Bellino, Mirella AU - Benedetti, Marta AU - Bianchi, Fabrizio AU - Bruno, Caterina AU - Carboni, Cinzia AU - Comba, Pietro AU - Conti, Susanna AU - D'Ottavi, Stefano AU - De Nardo, Paola AU - De Santis, Marco AU - Falleni, Fabrizio AU - Fano, Valeria AU - Fazzo, Lucia AU - Forastiere, Francesco AU - Iavarone, Ivano AU - Leonardi, Marco AU - Marinaccio, Alessandro AU - Martuzzi, Marco AU - Minelli, Giada AU - Minichilli, Fabrizio AU - Mitis, Francesco AU - Musmeci, Loredana AU - Pasetto, Roberto AU - Piccardi, Augusta AU - Pierini, Anna AU - Pirastu, Roberta AU - Rago, Grazia AU - Sampaolo, Letizia AU - Vanacore, Nicola AU - Zona, Amerigo DA - 2010/12//SEP IS - 5-6 PY - 2010 SN - 1120-9763 SP - 7-+ ST - SENTIERI Project Mortality study of residents in Italian polluted sites: evaluation of the epidemiological evidence T2 - Epidemiologia & Prevenzione TI - SENTIERI Project Mortality study of residents in Italian polluted sites: evaluation of the epidemiological evidence VL - 34 ID - 2007 ER - TY - JOUR AB - Sentiment polarity detection is one of the most popular tasks related to Opinion Mining. Many papers have been presented describing one of the two main approaches used to solve this problem. On the one hand, a supervised methodology uses machine learning algorithms when training data exist. On the other hand, an unsupervised method based on a semantic orientation is applied when linguistic resources are available. However, few studies combine the two approaches. In this paper we propose the use of meta-classifiers that combine supervised and unsupervised learning in order to develop a polarity classification system. We have used a Spanish corpus of film reviews along with its parallel corpus translated into English. Firstly, we generate two individual models using these two corpora and applying machine learning algorithms. Secondly, we integrate SentiWordNet into the English corpus, generating a new unsupervised model. Finally, the three systems are combined using a meta-classifier that allows us to apply several combination algorithms such as voting system or stacking. The results obtained outperform those obtained using the systems individually and show that this approach could be considered a good strategy for polarity classification when we work with parallel corpora. [All rights reserved Elsevier]. AU - Martin-Valdivia, M. AU - Martinez-Camara, E. AU - Perea-Ortega, J. M. AU - Urena-Lopez, L. A. DA - 2013/08// DO - 10.1016/j.eswa.2012.12.084 IS - 10 J2 - Expert Systems with Applications KW - data mining natural language processing text analysis unsupervised learning PY - 2013 SN - 0957-4174 SP - 3934-42 ST - Sentiment polarity detection in Spanish reviews combining supervised and unsupervised approaches T2 - Expert Systems with Applications TI - Sentiment polarity detection in Spanish reviews combining supervised and unsupervised approaches UR - http://dx.doi.org/10.1016/j.eswa.2012.12.084 VL - 40 ID - 1338 ER - TY - JOUR AB - Background: Tomato species are of significant agricultural and ecological interest, with cultivated tomato being among the most common vegetable crops grown. Wild tomato species are native to diverse habitats in South America and show great morphological and ecological diversity that has proven useful in breeding programs. However, relatively little is known about nucleotide diversity between tomato species. Until recently limited sequence information was available for tomato, preventing genome-wide evolutionary analyses. Now, an extensive collection of tomato expressed sequence tags (ESTs) is available at the SOL Genomics Network (SGN). This database holds sequences from several species, annotated with quality values, assembled into unigenes, and tested for homology against other genomes. Despite the importance of polymorphism detection for breeding and natural variation studies, such analyses in tomato have mostly been restricted to cultivated accessions. Importantly, previous polymorphisms surveys mostly ignored the linked meta-information, limiting functional and evolutionary analyses. The current data in SGN is thus an under-exploited resource. Here we describe a cross-species analysis taking full-advantage of available information. Results: We mined 20,000 interspecific polymorphisms between Solanum lycopersicum and S. habrochaites or S. pennellii and 28,800 intraspecific polymorphisms within S. lycopersicum. Using the available meta-information we classified genes into functional categories and obtained estimations of single nucleotide polymorphisms (SNP) quality, position in the gene, and effect on the encoded proteins, allowing us to perform evolutionary analyses. Finally, we developed a set of more than 10,000 between-species molecular markers optimized by sequence quality and predicted intron position. Experimental validation of 491 of these molecular markers resulted in confirmation of 413 polymorphisms. Conclusion: We present a new analysis of the extensive tomato EST sequences available that represents the most comprehensive survey of sequence diversity across Solanum species to date. These SNPs, plus thousands of molecular makers designed to detect the polymorphisms are available to the community via a website. Evolutionary analyses on these polymorphism uncovered sets of genes potentially important for the evolution and domestication of tomato; interestingly these sets were enriched for genes involved in response to the environment. AU - Jimenez-Gomez, Jose M. AU - Maloof, Julin N. DA - 2009/07/03/ DO - 10.1186/1471-2229-9-85 L1 - internal-pdf://0777635325/Jimenez-Gomez-2009-Sequence diversity in three.pdf PY - 2009 SN - 1471-2229 SP - 85 ST - Sequence diversity in three tomato species: SNPs, markers, and molecular evolution T2 - Bmc Plant Biology TI - Sequence diversity in three tomato species: SNPs, markers, and molecular evolution UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3224693/pdf/1471-2229-9-85.pdf VL - 9 ID - 2241 ER - TY - CONF AB - Ontologies are known as a quality and functional model, allowing meta data representation and reasoning. However, their maintenance plays a crucial role as ontologies may be misleading if they are not up to date. Currently, this work is done manually, and raises the problem of expert subjectivity. Therefore, some works have developed maintenance tools but none has allowed a precise identification of the relations that could link concepts. In this paper, we propose a new fully generic approach combining sequential patterns extraction and equivalence classes. Our method allows to identify terms from textual documents and to define labelized association rules from sequential patterns according to relevance and neighborhood measures. Moreover, this process proposes the placement of the found elements refined by the use of equivalence classes. Results of various experiments on real data highlight the relevance of our proposal. AU - Di-Jorio, L. AU - Bringay, S. AU - Fiot, C. AU - Laurent, A. AU - Teisseire, M. C3 - On the Move to Meaningful Internet Systems: OTM 2008. OTM 2008 Confederated International Conferences CoopIS, DOA, GADA, IS, and ODBASE 2008, 9-14 Nov. 2008 DA - 2008 KW - data mining data structures equivalence classes ontologies (artificial intelligence) text analysis PB - Springer-Verlag PY - 2008 SP - 1385-403 ST - Sequential patterns for maintaining ontologies over time T3 - On the Move to Meaningful Internet Systems: OTM 2008. Proceedings OTM 2008 Confederated International Conferences CoopIS, DOA, GADA, IS, and ODBASE 2008 TI - Sequential patterns for maintaining ontologies over time VL - pt.2 ID - 1174 ER - TY - JOUR AB - In order to solve the problems that design-time service governance cannot adapt to the dynamic adjustment of runtime very well and runtime service governance rarely supports the monitoring management of relations between services, this paper proposed a service governance platform based on process mining focusing on business demand, business process and service runtime information. Firstly, a service governance meta-model was defined, which covered the whole process mining procedure and business data including log record, process mining management and service governance feedback models. Afterwards, a service governance method consisting of the case view and control view of process mining was developed to generate the service governance strategies including business and runtime information. Finally, a logistics information platform of the transportation was used as a case study. The result shows that the platform provides an efficient and continuous service governance method based on business and service runtime analysis. AU - Zhang, Yu-Ran AU - Cai, Hong-Ming AU - Bu, Feng-Lin DA - 2014 J2 - Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice KW - cloud computing data mining N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 10006788 SP - 255-262 ST - Service governance platform based on process mining T2 - Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice TI - Service governance platform based on process mining VL - 34 ID - 1454 ER - TY - JOUR AB - The devices surrounding us become smarter and can autonomously form a network without requiring our intervention. However, our needs can be even better accommodated when the networked devices cooperate and complement each other's capabilities. One of the initial steps towards achieving a cooperative platform of smart devices is the discovery of resources and capabilities within the network. Today's operational service discovery protocols carry simple text-based uniform resource identifiers that are not expressive enough. Machines cannot comprehend the meaning of a new service that is not in their knowledge base. In addition to being more expressive, service discovery protocols must compensate the diversity to improve cooperation between the devices that use different application protocols and operate on different communication interfaces. In this paper, we propose the Smart Discovery Protocol (SDP) which outperforms the operational service discovery protocols with three main features: (1) more expressive semantic representation of the services, (2) operating in the network layer to deal with diversity, and (3) unifying existing service discovery protocols. SDP represents services with ontologies as some recently proposed semantic service discovery protocols. It further enhances the success of semantic representations by creating a unified platform that can carry legacy discovery services. In this respect, the novelties of SDP are as follows: firstly, it operates in the network layer and consequently abstracts both the application layer and communication interfaces. Secondly, SDP unifies the legacy service discovery protocols by integrating their simple text-based service representations in one message. The underlying transport mechanism of SDP is designed as an add-on to the Neighbor Discovery Protocol (NDP) of the IPv6 standard. The metadata is carried in the payload of ICMPv6 packets. Simple text-based representations of other service discovery protocols are embedded in type-length-value options of NDP. Authenticity of the devices is ensured by the IPv6 Secure Neighbor Discovery protocol. Unlike previous semantic approaches on service discovery, we have implemented our protocol on real hardware. The results demonstrate the feasibility of carrying semantic representations of the services and integration of other service discovery protocols. AU - Durmus, Y. AU - Onur, E. DA - 2015/04// DO - 10.1007/s11277-015-2483-2 IS - 4 J2 - Wireless Personal Communications KW - data mining IP networks meta data ontologies (artificial intelligence) protocols semantic networks software maintenance text analysis PY - 2015 SN - 0929-6212 SP - 1455-80 ST - Service Knowledge Discovery in Smart Machine Networks T2 - Wireless Personal Communications TI - Service Knowledge Discovery in Smart Machine Networks UR - http://dx.doi.org/10.1007/s11277-015-2483-2 VL - 81 ID - 946 ER - TY - CONF AB - The emergence and proliferation of the service economy greatly amplifies the need to thoroughly manage service productivity. The purpose of this study is to evaluate the expressiveness of conceptual modeling grammars for service productivity management as well as to provide directions for future research. Based on authoritative theories on service productivity, we identify a set of evaluation criteria with which we benchmark a selection of conceptual modeling grammars. Our analysis yields two major insights: First, literature on service productivity provides only limited theoretical support for designing conceptual modeling grammars. Second, the concepts contained in service productivity theories have found little recognition in the grammars' meta models. We derive two core implications: First, extended theory support is needed to inform the design of conceptual modeling grammars. Second, additional constructs need to be included in conceptual modeling grammars to facilitate productivity-oriented analysis and design in the service sector. 2012 IEEE. AU - Becker, Jorg AU - Beverungen, Daniel AU - Knackstedt, Ralf AU - Rauer, Hans Peter AU - Sigge, Daniel C3 - 2012 45th Hawaii International Conference on System Sciences, HICSS 2012, January 4, 2012 - January 7, 2012 DA - 2011 DO - 10.1109/HICSS.2012.525 KW - data mining Design Productivity Systems science N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 SN - 15301605 SP - 1522-1531 ST - Service productivity management - Status quo and directions for the design of conceptual modeling grammars T3 - Proceedings of the Annual Hawaii International Conference on System Sciences TI - Service productivity management - Status quo and directions for the design of conceptual modeling grammars UR - http://dx.doi.org/10.1109/HICSS.2012.525 ID - 1159 ER - TY - JOUR AB - Mining spatial information sharing platform, as a new type of mining information management systems, will greatly enhance the level of the existing mine information management and their ability to support production operations. Based on the analysis of the current information sharing framework, a new mining information sharing platform which is service-oriented GIS is introduced. Then, this article describes three key techniques to achieve: the SOA-based GIS technology, metadata technology and spatial database technology. Finally, the paper talks about the research way for the development of mining area spatial information sharing architecture in the future. AU - Zhigang, Li AU - Hui, Liu AU - Wunian, Yang DA - 2011 DO - 10.4028/www.scientific.net/AMR.230-232.501 IS - 2 J2 - Advanced Materials Research KW - Geographic information systems Information Management meta data mining production engineering computing service-oriented architecture visual databases PY - 2011 SN - 1022-6680 SP - 501-5 ST - Service-Oriented Sharing Architecture for Mining Area Spatial Information and Key Techniques T2 - Advanced Materials Research TI - Service-Oriented Sharing Architecture for Mining Area Spatial Information and Key Techniques UR - http://dx.doi.org/10.4028/www.scientific.net/AMR.230-232.501 VL - 230-232 ID - 1414 ER - TY - CONF AB - In this paper we discuss the design of a system that uses the social networks to detect events using the social networks' users as sensors that report information. The system is using text mining and machine learning algorithms to cluster tweets and social media posts and then use spatial and temporal metadata to identify events, as well semantic information to identify the sematic relations among the different concepts involved. We describe the steps to follow and the algorithms we implement in the system in order to achieve this. At the end we also discuss the overall user functionality offered to users interested in different events in diverse contexts. AU - Kotzinos, D. AU - Kleisarchaki, S. AU - Spyratos, N. AU - Theodoridou, L. AU - Petalidis, N. AU - Kazakis, P. C3 - ICT, Society and Human Beings 2015; Web-Based Communities and Social Media 2015; and Connected Smart Cities 2015, 21-24 July 2015 DA - 2015 KW - data mining Internet learning (artificial intelligence) meta data Social networking (online) text analysis PB - IADIS Press PY - 2015 SP - 132-9 ST - A services framework for using the social web as sensor web: Identifying events in real time using spatial, temporal and semantic references (SUSS) T3 - ICT, Society and Human Beings 2015; Web-Based Communities and Social Media 2015; and Connected Smart Cities 2015. Proceedings TI - A services framework for using the social web as sensor web: Identifying events in real time using spatial, temporal and semantic references (SUSS) ID - 1154 ER - TY - CONF AB - Session segmentation can not only facilitate further study of users' interest mining but also act as the foundation of other retrieval researches based on users' complicated search behaviors. This paper proposes session boundary discrimination model (the binary classification tree) utilizing time interval and query likelihood on the basis of COBWEB. The model has prominently improved recall ratio, precision ratio and value F to more than 90 percent and particularly the value F for yes class rises compared with previous study. It is an incremental algorithm that can deal with large scale data, which will be perfectly applied into user interest mining. Owing to its good performance in session boundary discrimination, the application of the model can serve as a tool in fields like personalized information retrieval, query suggestion, search activity analysis and other fields which have connection with search results improvement. 2012 IEEE. AU - Hou, Zhenshan AU - Cui, Mingliang AU - Li, Ping AU - Wei, Liuliu AU - Ying, Wenhao AU - Zuo, Wanli C3 - 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012, October 30, 2012 - November 1, 2012 DA - 2012 DO - 10.1109/CCIS.2012.6664386 KW - cloud computing Online searching N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 148-153 ST - Session segmentation method based on COBWEB T3 - Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 TI - Session segmentation method based on COBWEB UR - http://dx.doi.org/10.1109/CCIS.2012.6664386 VL - 1 ID - 587 ER - TY - JOUR AB - Sexual activity before competition has been considered as a possible cause for reduced performance since ancient Greece and Rome. Recently, the hypothesis that optimal sport performance could be influenced by a variety of factors including sexual activity before competition has been investigated. However, few scientific data are available, with the exception of anecdotal reports of individual experiences. The present systematic review focused on the current scientific evidence on the effects of sexual activity on sport performance regardless of sport type. Data were obtained following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, using PubMed/MEDLINE, ISI/Web of Science, the Cochrane Collaboration Database, Cochrane Library, Evidence Database (PEDro), Evidence Based Medicine (EBM) Search review, National Guidelines, ProQuest, and Scopus, all searched from inception further, to broaden the search, no time filter nor language restriction have been applied. Also, the gray literature was mined using Google Scholar. Only relevant scientific articles reporting outcomes of athletic performance after sexual activity were considered. The impact of sexual activity before a sport competition is still unclear, but most studies generally seem to exclude a direct impact of sexual activity on athletic aerobic and strength performance. The most important aspect seems to be the interval from the time of the sports competition that affects negatively the performance if it is shorter than 2 h. There are possible negative effects from some possible concurrent wrong behaviors such as smoking or alcohol abuse. There are no investigations about the effect of masturbation in this context. There is a need to clarify the effects of sexual activity on competition performance. The present evidence suggests that sexual activity the day before competition does not exert any negative impact on performance, even though high-quality, randomized controlled studies are urgently needed. AU - Stefani, Laura AU - Galanti, Giorgio AU - Padulo, Johnny AU - Bragazzi, Nicola L. AU - Maffulli, Nicola DA - 2016/06/21/ DO - 10.3389/fphys.2016.00246 PY - 2016 SN - 1664-042X SP - 246 ST - Sexual Activity before Sports Competition: A Systematic Review T2 - Frontiers in Physiology TI - Sexual Activity before Sports Competition: A Systematic Review VL - 7 ID - 1944 ER - TY - JOUR AU - Moffet, Howard H. DA - 2009 DP - Google Scholar IS - 3 L1 - https://www.researchgate.net/profile/Howard_Moffet/publication/24144667_Sham_acupuncture_may_be_as_efficacious_as_true_acupuncture_a_systematic_review_of_clinical_trials/links/09e4150a51ae7241ad000000.pdf PY - 2009 SP - 213-216 ST - Sham acupuncture may be as efficacious as true acupuncture T2 - The Journal of Alternative and Complementary Medicine TI - Sham acupuncture may be as efficacious as true acupuncture: a systematic review of clinical trials UR - http://online.liebertpub.com/doi/abs/10.1089/acm.2008.0356 VL - 15 Y2 - 2016/09/24/15:34:52 ID - 2333 ER - TY - JOUR AU - Moffet, Howard H. DA - 2009 DP - Google Scholar IS - 3 L1 - https://www.researchgate.net/profile/Howard_Moffet/publication/24144667_Sham_acupuncture_may_be_as_efficacious_as_true_acupuncture_a_systematic_review_of_clinical_trials/links/09e4150a51ae7241ad000000.pdf PY - 2009 SP - 213-216 ST - Sham acupuncture may be as efficacious as true acupuncture T2 - The Journal of Alternative and Complementary Medicine TI - Sham acupuncture may be as efficacious as true acupuncture: a systematic review of clinical trials UR - http://online.liebertpub.com/doi/abs/10.1089/acm.2008.0356 VL - 15 Y2 - 2016/09/24/16:08:30 ID - 2449 ER - TY - JOUR AB - Although the integration of engineering data within the framework of product data management systems has been successful in the recent years, the holistic analysis (from a systems engineering perspective) of multi-disciplinary data or data based on different representations and tools is still not realized in practice. At the same time, the application of advanced data mining techniques to complete designs is very promising and bears a high potential for synergy between different teams in the development process. In this paper, we propose shape mining as a framework to combine and analyze data from engineering design across different tools and disciplines. In the first part of the paper, we introduce unstructured surface meshes as meta-design representations that enable us to apply sensitivity analysis, design concept retrieval and learning as well as methods for interaction analysis to heterogeneous engineering design data. We propose a new measure of relevance to evaluate the utility of a design concept. In the second part of the paper, we apply the formal methods to passenger car design. We combine data from different representations, design tools and methods for a holistic analysis of the resulting shapes. We visualize sensitivities and sensitive cluster centers (after feature reduction) on the car shape. Furthermore, we are able to identify conceptual design rules using tree induction and to create interaction graphs that illustrate the interrelation between spatially decoupled surface areas. Shape data mining in this paper is studied for a multi-criteria aerodynamic problem, i.e. drag force and rear lift, however, the extension to quality criteria from different disciplines is straightforward as long as the meta-design representation is still applicable. 2014 The Authors. Published by Elsevier Ltd. AU - Graening, Lars AU - Sendhoff, Bernhard DA - 2014 DO - 10.1016/j.aei.2014.03.002 IS - 2 J2 - Advanced Engineering Informatics KW - automobiles Computer aided engineering Conceptual design data mining Information Management TOOLS Trees (mathematics) L1 - internal-pdf://4131982081/Graening-2014-Shape mining_ A holistic data mi.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 14740346 SP - 166-185 ST - Shape mining: A holistic data mining approach for engineering design T2 - Advanced Engineering Informatics TI - Shape mining: A holistic data mining approach for engineering design UR - http://dx.doi.org/10.1016/j.aei.2014.03.002 http://ac.els-cdn.com/S1474034614000184/1-s2.0-S1474034614000184-main.pdf?_tid=b6b04f0c-8336-11e6-acfc-00000aab0f6c&acdnat=1474818349_c7316bae2210b5ebc785332fad86cb1a VL - 28 ID - 1743 ER - TY - JOUR AB - As public availability of gene expression profiling data increases, it is natural to ask how these data can be used by neuro scientists. Here we review the public availability of high-throughput expression data in neuroscience and how it has been reused, and tools that have been developed to facilitate reuse. There is increasing interest in making expression data reuse a routine part of the neuroscience tool-kit, but there are a number of challenges. Data must become more readily available in public databases; efforts to encourage investigators to make data available are important, as is education on the benefits of public data release. Once released, data must be better-annotated. Techniques and tools for data reuse are also in need of improvement. Integration of expression profiling data with neuroscience-specific resources such as anatomical atlases will further increase the value of expression data. AU - Wan, Xiang AU - Pavlidis, Paul DA - 2007 DO - 10.1007/s1021-007-0012-5 IS - 3 PY - 2007 SN - 1539-2791 SP - 161-175 ST - Sharing and reusing gene expression profiling data in neuroscience T2 - Neuroinformatics TI - Sharing and reusing gene expression profiling data in neuroscience VL - 5 ID - 1888 ER - TY - JOUR AU - Piwowar, Heather A. AU - Day, Roger S. AU - Fridsma, Douglas B. DA - 2007 DP - Google Scholar IS - 3 PY - 2007 SP - e308 ST - Sharing detailed research data is associated with increased citation rate T2 - PloS one TI - Sharing detailed research data is associated with increased citation rate UR - http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0000308 VL - 2 Y2 - 2016/09/24/16:03:41 ID - 2409 ER - TY - CHAP A2 - Karamanos, Y. AB - We describe a method for analyzing and sharing gene expression data using a Web-based system, "Gemma." Gemma is designed to support meta-analysis in a collaborative framework. Gemma allows users to log on, upload their data, annotate and analyze it, and share the data with others. Users can then compare results across public data sets or other private data sets. We also briefly review alternative approaches for sharing and meta-analyzing gene expression data. AU - Zoubarev, Anton AU - Pavlidis, Paul PY - 2012 SN - 978-1-61779-448-3 SP - 89-100 ST - Sharing Expression Profiling Data with Gemma T2 - Expression Profiling in Neuroscience TI - Sharing Expression Profiling Data with Gemma VL - 64 ID - 1936 ER - TY - JOUR AB - "It has long been an axiom of mine that the little things are infinitely the most important," said Sherlock Holmes to Dr. Watson in A Case of Identity.(1) In that story, a Miss Sutherland asks Holmes to find her loving fianc6, Hosmer Angel. Hosmer had disappeared suddenly after making her swear that "Whatever happened, 1 was to be true... pledged to him.... strange talk for a wedding morning." Indeed, Angel never arrived at the wedding. He had got into a cab to go there, but disappeared (Fig. 1). It used to be that science was basically about the big things one could observe with one's own eyes. Aristotle laid down the ground rules in ancient times, and they prevailed for nearly 2,000 years as the dogma about the nature of knowledge of the world. He said that our sensory systems and reasoning powers were provided to enable us to understand the world correctly. But this long era of intuitive truth came crumbling down in the sixteenth and seventeenth centuries. One of the major reasons for this was the discovery that the world could not be seen in its entirety by our senses alone. AU - Weiss, Kenneth M. DA - 2006/10//SEP DO - 10.1002/evan.20116 IS - 5 PY - 2006 SN - 1060-1538 SP - 160-166 ST - Sherlock Holmes and the empty cab T2 - Evolutionary Anthropology TI - Sherlock Holmes and the empty cab VL - 15 ID - 2258 ER - TY - JOUR AB - BACKGROUND: For all medications, there is a trade-off between benefits and potential for harm. It is important for patient safety to detect drug-event combinations and analyze by appropriate statistical methods. Mefloquine is used as chemoprophylaxis for travelers going to regions with known chloroquine-resistant Plasmodium falciparum malaria. As such, there is a concern about serious adverse events associated with mefloquine chemoprophylaxis. The objective of the present study was to assess whether any signal would be detected for the serious adverse events of mefloquine, based on data in clinicoepidemiological studies. MATERIALS AND METHODS: We extracted data on adverse events related to mefloquine chemoprophylaxis from the two published datasets. Disproportionality reporting of adverse events such as neuropsychiatric events and other adverse events was presented in the 2 x 2 contingency table. Reporting odds ratio and corresponding 95% confidence interval [CI] data-mining algorithm was applied for the signal detection. The safety signals are considered significant when the ROR estimates and the lower limits of the corresponding 95% CI are >/=2. RESULTS: Two datasets addressing adverse events of mefloquine chemoprophylaxis (one from a published article and one from a Cochrane systematic review) were included for analyses. Reporting odds ratio 1.58, 95% CI: 1.49-1.68 based on published data in the selected article, and 1.195, 95% CI: 0.94-1.44 based on data in the selected Cochrane review. Overall, in both datasets, the reporting odds ratio values of lower 95% CI were less than 2. CONCLUSION: Based on available data, findings suggested that signals for serious adverse events pertinent to neuropsychiatric event were not detected for mefloquine. Further studies are needed to substantiate this. AU - Naing, Cho AU - Aung, Kyan AU - Ahmed, Syed Imran AU - Mak, Joon Wah DA - 2012 DO - 10.2147/DHPS.S34493 J2 - Drug Healthc Patient Saf KW - mefloquine neuropsychiatric events reporting odds ratio signal detection LA - eng PY - 2012 SN - 1179-1365 1179-1365 SP - 87-92 ST - Signal detection to identify serious adverse events (neuropsychiatric events) in travelers taking mefloquine for chemoprophylaxis of malaria T2 - Drug, healthcare and patient safety TI - Signal detection to identify serious adverse events (neuropsychiatric events) in travelers taking mefloquine for chemoprophylaxis of malaria VL - 4 ID - 355 ER - TY - CONF AB - Signature word of the text extracting is a useful technique which can abstract Web page text, as well as it provides technical support for text classification, information extraction and other related tasks. This paper attempts to partition document into a hierarchical structure by parsing the semantic distance between each adjacent paragraph in the web page content. On the basis of the hierarchical structure we use the metadata and special tags of the HTML to design a weighting function by considering the factor of the frequency, length and location of the word. Finally, various location factors on the system's contribution are comparative analyzed. AU - Ning, Pang AU - Zhen-dan, Lai C3 - 2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 25-28 Aug. 2012 DA - 2012 DO - 10.1109/MSNA.2012.6324633 KW - classification hypermedia markup languages information retrieval Internet meta data text analysis PB - IEEE PY - 2012 SP - 506-8 ST - Signature Word Extracting Research Based on Web Metadata T3 - Proceedings of the 2012 International Symposium on Instrumentation Measurement, Sensor Network and Automation (IMSNA) TI - Signature Word Extracting Research Based on Web Metadata UR - http://dx.doi.org/10.1109/MSNA.2012.6324633 VL - vol.2 ID - 850 ER - TY - JOUR AB - In social networks, the interaction sustainability and the information sharing needs can produce a subtle and leader phenomenon: a core. Investigations of homeland security in social organizations need to recognize such elite class dominating the network consistency and centralization. However, dense regions gathering strategic individuals are not the best realistic structures to represent it in static models. In this paper, we propose an approach based on the social network dynamics to characterize and identify a core identity. We use the group as a conceptual mold to explore three key features: cohesion, dominance, and durability. We represent a real-world network by a meta-model based on patterns of overlapped groups between time steps, linked by weighted arcs. The weights determine which overlaps are relevant. By a critical pattern-based research, we detect the critical path covering the most relevant overlaps: large and central. Once a grouping persists deep in inside, findings show that it presents a large and durable composition playing a central role the most stable. It is qualified as a significant core where the network is shown sensitive throughout the observation period. AU - Hamadache, B. AU - Seridi-Bouchelaghem, H. AU - Farah, N. DA - 2016/12// DO - 10.1007/s13278-016-0344-y IS - 1 J2 - Social Network Analysis and Mining KW - evolutionary computation Information Dissemination national security Social networking (online) PY - 2016 SN - 1869-5450 SP - 38-(14 pp.) ST - A significant core structure inside the social network evolutionary process T2 - Social Network Analysis and Mining TI - A significant core structure inside the social network evolutionary process UR - http://dx.doi.org/10.1007/s13278-016-0344-y VL - 6 ID - 647 ER - TY - JOUR AB - As the engineering world are growing fast, the usage of data for the day to day activity of the engineering industry also growing rapidly. In order to handle and to find the hidden knowledge from huge data storage, data mining is very helpful right now. Text mining, network mining, multimedia mining, trend analysis are few applications of data mining. In text mining, there are variety of methods are proposed by many researchers, even though high precision, better recall are still is a critical issues. In this study, text mining is focused and conceptual mining model is applied for improved clustering in the text mining. The proposed work is termed as Meta data Conceptual Mining Model (MCMM), is validated with few world leading technical digital library data sets such as IEEE, ACM and Scopus. The performance derived as precision, recall are described in terms of Entropy, F-Measure which are calculated and compared with existing term based model and concept based mining model. AU - Koteeswaran, S. AU - Janet, J. AU - Kannan, E. DA - 2012 IS - 10 J2 - Journal of Computer Science KW - data mining Digital Libraries Entropy meta data pattern clustering text analysis PY - 2012 SN - 1549-3636 SP - 1660-6 ST - Significant Term List Based Metadata Conceptual Mining Model for Effective Text Clustering T2 - Journal of Computer Science TI - Significant Term List Based Metadata Conceptual Mining Model for Effective Text Clustering VL - 8 ID - 1762 ER - TY - JOUR AB - BACKGROUND: Workers compensated for silicosis outside the mining industry are at an increased risk of developing lung cancer. In the meta-analyses no data from Germany are involved. Furthermore, exposure data are necessary if a threshold value is to be assessed in order to reduce the risk for silicosis and also for lung cancer. METHOD: A cohort study among workers compensated for silicosis between 1988 and 2000 from the stone and quarry industry in Germany has been initiated. The cohort was followed up until the end of 2001. From all workers a detailed description of their jobs was assessed. RESULTS: Four hundred and forty workers were enrolled in the study. During the follow-up 144 workers died, compared with 74.35 expected cases based on the mortality rates of the general population from Germany, leading to a standard mortality ratio (SMR) of 1.94 (95% CI 1.63-2.28). Lung cancer was the cause of death in 16 cases (SMR 2.40; 95% CI 1.37-3.90). All workers had a peak exposure above 0.15 mg/m3, the current threshold value. The cumulative exposure was above 2 mg/m3.years and the average exposure was 0.10 mg/m3 or larger. No association between the exposure and the risk of developing lung cancer could be observed. CONCLUSIONS: Workers from the stone and quarry industry compensated for silicosis are at an increased risk of developing lung cancer. In order to reduce that risk, the exposure has to be lowered, with a peak exposure below 0.15 mg/m3 and an average exposure below 0.10 mg/m3. AU - Ulm, K. AU - Gerein, P. AU - Eigenthaler, J. AU - Schmidt, S. AU - Ehnes, H. DA - 2004/06//undefined DO - 10.1007/s00420-004-0513-6 IS - 5 J2 - Int Arch Occup Environ Health KW - *Mining Adult Aged Aged, 80 and over Cohort Studies Germany Humans Lung Neoplasms/*chemically induced/mortality Male Middle Aged Occupational Exposure/*adverse effects Silicon Dioxide/*toxicity Silicosis/*complications/mortality Smoking/adverse effects LA - eng PY - 2004 SN - 0340-0131 0340-0131 SP - 313-318 ST - Silica, silicosis and lung-cancer: results from a cohort study in the stone and quarry industry T2 - International archives of occupational and environmental health TI - Silica, silicosis and lung-cancer: results from a cohort study in the stone and quarry industry VL - 77 ID - 290 ER - TY - BOOK A3 - Banissi, E. A2 - Sarfraz, M. A2 - Dejdumrong, N. AB - Similarity searching is an excellent approach for getting information from subjective materials like images or videos. Some excellent works on special domains have done. We focus on Statistical images. These kinds of images have some excellent features that can be clearly extractable and useable in similarity searching. But there no significant work has been done in this area. So we have done some preliminary works in this domain. By some extensive analysis we classes images of this domain in some sub domains and also identified the nature of features those can be considered as silent. We develop a prototype based on this analysis where we store extracted features information of a statistical images as Meta data. Then we devise some strategy to do similarity searching using standard query formulation. AU - Hassan, Mohammad M. AU - Khatib, Wasfi Al DA - 2007 PY - 2007 SN - 978-0-7695-2928-8 ST - Similarity searching in statistical figures based on extracted meta data TI - Similarity searching in statistical figures based on extracted meta data ID - 2052 ER - TY - ADVS AU - laouad DP - YouTube KW - SPAM ST - A simple example of text clustering using R TI - A simple example of text clustering using R UR - https://www.youtube.com/watch?v=-2Koi-caSZw Y2 - 2016/09/24/21:08:39 ID - 2535 ER - TY - JOUR AB - A simple device consisting of a glass pyrolysis chamber fitted for a commercial resistively heated pyrolysis probe and connected to a solvent desorption tube for air monitoring was applied to off-line pyrolysis under silylating conditions of humic acids (soil, lake) and coals. Samples were flash pyrolysed at 700C in the presence of excess hexamethyldisilazane, and evolved products were swept off by a nitrogen stream and trapped onto a charcoal filter from where they were desorbed with dichloromethane and analysed by gas chromatography (GC)-mass spectrometry. Humic acids afforded trimethylsilyl (TMS) ethers of phenols, 2-methoxyphenols (guaiacols), 2,6-dimethoxyphenols (syringols), and dihydroxy and trihydroxybenzenes as major products. TMSoxy benzenes were the principal products observed from pyrolysis/silylation of coals. In comparison with conventional pyrolysis, the in-situ derivatisation process enhances the levels of phenols with respect to hydrocarbons and improves the GC separation of isomers (e.g. meta- from para-cresol). With respect to tetramethylammonium hydroxide thermochemolysis, pyrolysis/silylation operates under milder conditions and permits discrimination between free and methylated hydroxy groups. The performance of the method for the quantitative determination of evolved product is described. Yields of evolved silylated mono and dihydroxybenzenes occur in the mg/g range with relative standard deviations generally between 16 and 30%. 2002 Elsevier Science B.V. All rights reserved. AU - Fabbri, Daniele AU - Vassura, Ivano AU - Snape, Colin E. DA - 2002 DO - 10.1016/S0021-9673(02)00740-9 IS - 2 J2 - Journal of Chromatography A KW - Benzene Coal Gas chromatography Hydrocarbons Isomers Mass Spectrometry Pyrolysis L1 - internal-pdf://0507578762/Fabbri-2002-Simple off-line flash pyrolysis pr.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2002 SN - 00219673 SP - 235-242 ST - Simple off-line flash pyrolysis procedure with in situ silylation for the analysis of hydroxybenzenes in humic acids and coals T2 - Journal of Chromatography A TI - Simple off-line flash pyrolysis procedure with in situ silylation for the analysis of hydroxybenzenes in humic acids and coals UR - http://dx.doi.org/10.1016/S0021-9673(02)00740-9 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0021967302007409/1-s2.0-S0021967302007409-main.pdf?_tid=6dc321f0-8333-11e6-9397-00000aacb360&acdnat=1474816939_996235dab98c21bc7c8fe1064d7c6fd8 VL - 967 ID - 866 ER - TY - JOUR AB - The screening method proposed by Morris in 1991 allows to identify the important factors of a model, including those involved in interactions. This method, known as the elementary effects method, relies on a "one-factor-at-a-time" (OAT) design of experiments, i.e. two successive points differ only by one factor. In this article, we introduce a non-OAT simplex-based design for the elementary effects method. Its main advantage, compared to Morris's OAT design, is that the sample size does not collapse when the design is projected on sub-spaces spanned by groups of factors. The use of this design to estimate a metamodel depending only on the (screened) important factors is discussed. 2008 Elsevier Ltd. All rights reserved. AU - Pujol, Gilles DA - 2009 DO - 10.1016/j.ress.2008.08.002 IS - 7 J2 - Reliability Engineering and System Safety KW - Design of experiments Sensitivity analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 09518320 SP - 1156-1160 ST - Simplex-based screening designs for estimating metamodels T2 - Reliability Engineering and System Safety TI - Simplex-based screening designs for estimating metamodels UR - http://dx.doi.org/10.1016/j.ress.2008.08.002 VL - 94 ID - 669 ER - TY - JOUR AB - A full life cycle assessment (LCA) is usually a time, energy, and data-intensive process requiring sophisticated methodology. Our meta-analysis of life cycle greenhouse gas (GHG) emissions of wind electricity highlights several key, sensitive parameters to provide a better understanding of the variability in LCA results, and then proposes a methodology to establish a simplified, streamlined approach based on regressions built on these key parameters. Wind electricity's environmental performance can be linked to three essential components: technological (e.g., manufacturing), geographical (e.g., wind speed), and LCA methodology (e.g., product lifetime). A regression has been derived based on detailed LCA results from a representative sample of 17 industrial wind turbines manufactured and recently installed in Europe on average land configurations. Simple GHG performance (i.e., emissions) curves depending on average on-site wind speed and wind turbine lifetime are proposed. Whatever the system power, considering the full range of possible wind speeds in Europe (4 to 9 meters per second [m/s]) and a lifetime of 10 to 30 years, emissions vary from 8.7 to 76.7 grams of carbon dioxide equivalent per kilowatt-hour (g CO2-eq/kWh) when the wind speed is less than 6.5 m/s, and from 4.5 to 22.2 g CO2-eq/kWh when the wind speed is 6.5 m/s or greater. This second situation with a turbine lifetime of 20 years is assumed to be most realistic based on economic criteria. This research presents simplified models as an alternative to detailed LCA. The methodology has been applied as a first trial to wind electricity and could be applied to other energy pathways. 2012 by Yale University. AU - Padey, Pierryves AU - Blanc, Isabelle AU - Le Boulch, Denis AU - Xiusheng, Zhao DA - 2012 DO - 10.1111/j.1530-9290.2012.00466.x IS - SUPPL.1 J2 - Journal of Industrial Ecology KW - Carbon dioxide Electricity Environmental impact Environmental management Gas emissions Greenhouse gases Life cycle Regression Analysis Wind effects Wind turbines N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 10881980 SP - S28-S38 ST - A Simplified Life Cycle Approach for Assessing Greenhouse Gas Emissions of Wind Electricity T2 - Journal of Industrial Ecology TI - A Simplified Life Cycle Approach for Assessing Greenhouse Gas Emissions of Wind Electricity UR - http://dx.doi.org/10.1111/j.1530-9290.2012.00466.x VL - 16 ID - 1504 ER - TY - CHAP A2 - Kang, L. A2 - Cai, Z. H. A2 - Liu, Y. AB - Decision tree is one of the popular data, mining algorithms and it has been applied oil many classification application areas. lit many applications, the number of attribute values may be over hundreds and that will be difficult, to analyze the result. The purpose Of this paper will focus on the construction of categorical decision trees. A binary splitting decision tree algorithm is proposed to simplify the classification outcomes. It adopts the complement operation to simplify the split of interior nodes and it is suitable to apply on the decision trees where the number of outcomes is numerous. lit addition, meta-attribute could be applied oil some applications where the number of outcomes is numerous and the meta-attribute is meaningful. The benefit of meta-attribute representation is that it could transfer the original attributes into higher level concepts and that could reduce the number of outcomes. AU - Liu, Chien-Liang AU - Lee, Chia-Hoang PY - 2008 SN - 978-3-540-92136-3 SP - 581-590 ST - Simplify Multi-valued Decision Trees T2 - Advances in Computation and Intelligence, Proceedings TI - Simplify Multi-valued Decision Trees VL - 5370 ID - 2129 ER - TY - JOUR AB - Rapid growth in marine sand mining for construction and other uses poses environmental challenges to coastal nations virtually worldwide. Yet the development of management policies, such as a system of fees imposed on operators for damage caused by mining, has been frustrated by a lack of studies to support such measures. Adapting a Beverton-Holt bioeconomic model, this paper attempts to contribute to the estimation of external costs to commercial fisheries due to marine mining. Using the major mining area of Ongjin in Korea as a case study, we estimate economic losses in use value of commercial fisheries through the time to recovery of the injured resource stocks. Present value of lost catch over a 1-year period from mining to resource recovery is estimated at $38,851 for a single "prototype" mining site. Estimated cumulative damages due to recurring mining for 5 and 10 years are $1.5 million and $2.2 million, respectively, at 20 mining sites. Sensitivity analyses are used to examine the effects of alternative assumptions to assess the many sources of uncertainty. Using a form of meta-analysis, dose-response information is used to assess the excess mortality the mining sediment plume has on eggs and larvae and, ultimately, on the value of lost catch ($841). Also addressed is the importance of specifying the appropriate "premining" conditions against which to assess environmental losses at the mining site. Damages estimated with premining fish populations are $23,066 higher than is the case using postmining conditions. Overall, the illustrative results suggest the variety of complex conditions which influence damage to fisheries from mining and which can benefit from further study to improve management guidelines. 2009 Springer Science+Business Media, LLC. AU - Kim, Tae-Guon AU - Grigalunas, Thomas DA - 2009 DO - 10.1007/s00267-009-9339-z IS - 3 J2 - Environmental Management KW - Damage detection ecology Fisheries mining Ocean habitats Research Sand Sensitivity analysis Uncertainty analysis L1 - internal-pdf://2698492341/Kim-2009-Simulating direct and indirect damage.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 0364152X SP - 566-578 ST - Simulating direct and indirect damages to commercial fisheries from marine sand mining: A case study in korea T2 - Environmental Management TI - Simulating direct and indirect damages to commercial fisheries from marine sand mining: A case study in korea UR - http://dx.doi.org/10.1007/s00267-009-9339-z VL - 44 ID - 1554 ER - TY - CONF AB - Data mining, simulation, heuristic optimisation and monitoring techniques are applied to improve complex planning decisions at tactical and operational levels. The paper presents an integrated approach to product delivery planning and scheduling built on integration of these technologies. A business case in tactical and operational planning of deliveries is given in the paper. Cluster analysis of dynamic demand is described. The region clustering of customers is performed through multi-objective optimisation. Vehicle scheduling is introduced and performed for the routed solution. AU - Merkuryeva, Galina AU - Bolshakov, Vitaly C3 - 24th European Modeling and Simulation Symposium, EMSS 2012, September 19, 2012 - September 21, 2012 DA - 2012 KW - Cluster Analysis Computer Simulation Multiobjective optimization Scheduling Vehicle routing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - DIPTEM PY - 2012 SP - 226-231 ST - Simulation optimisation and monitoring in tactical and operational planning of deliveries T3 - 24th European Modeling and Simulation Symposium, EMSS 2012 TI - Simulation optimisation and monitoring in tactical and operational planning of deliveries ID - 1027 ER - TY - JOUR AB - We present a skill analysis with time series image data using data mining methods, focused on table tennis. We do not use body model, but use only hi-speed movies, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for the forehand stroke of table tennis, and discuss mono and meta-functional skills for improving skills. AU - Maeda, T. AU - Fujii, M. AU - Hayashi, I. DA - 2013/03// DO - 10.7321/jscse.v3.n3.87 IS - 3 J2 - International Journal of Soft Computing and Software Engineering KW - data mining Image processing sport time series PY - 2013 SN - 2251-7545 SP - 576-80 ST - Skill Analysis with Time Series Image Data T2 - International Journal of Soft Computing and Software Engineering TI - Skill Analysis with Time Series Image Data UR - http://dx.doi.org/10.7321/jscse.v3.n3.87 VL - 3 ID - 1656 ER - TY - JOUR AB - Advanced data mining techniques are potential tools for solving civil engineering (CE) problems. This study proposes a novel smart artificial firefly colony algorithm-based support vector regression (SAFCA-SVR) system that integrates firefly algorithm (FA), chaotic maps, adaptive inertia weight, Levy flight, and least squares support vector regression (LS-SVR). First, adaptive approach and randomization methods are incorporated in FA to construct a novel and highly effective metaheuristic algorithm for global optimization. The enhanced FA is then used to optimize parameters in LS-SVR model. The proposed system is validated by comparing its performance with those of empirical methods and previous works via cross-validation algorithm and hypothesis test through the real-world engineering cases. Specifically, high-performance concrete, resilient modulus of subgrade soils, and building cooling load are used as case studies. The SAFCA-SVR achieved 8.8%-91.3% better error rates than those of previous works. Analytical results confirm that using the proposed hybrid system significantly improves the accuracy in solving CE problems. 2015 Computer-Aided Civil and Infrastructure Engineering. AU - Chou, Jui-Sheng AU - Pham, Anh-Duc DA - 2015 DO - 10.1111/mice.12121 IS - 9 J2 - Computer-Aided Civil and Infrastructure Engineering KW - Algorithms Bioluminescence Chaotic systems data mining Global optimization High performance concrete Hybrid systems Optimization Regression Analysis L1 - internal-pdf://3439037746/Chou-2015-Smart Artificial Firefly Colony Algo.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 10939687 SP - 715-732 ST - Smart Artificial Firefly Colony Algorithm-Based Support Vector Regression for Enhanced Forecasting in Civil Engineering T2 - Computer-Aided Civil and Infrastructure Engineering TI - Smart Artificial Firefly Colony Algorithm-Based Support Vector Regression for Enhanced Forecasting in Civil Engineering UR - http://dx.doi.org/10.1111/mice.12121 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/mice.12121/asset/mice12121.pdf?v=1&t=itir5z6u&s=1e6fe26ad5a3d685f31e83a1abbe5a96f2177b6d VL - 30 ID - 1173 ER - TY - JOUR AB - Large networks are becoming a widely used abstraction for studying complex systems in a broad set of disciplines, ranging from social network analysis to molecular biology and neuroscience. Despite an increasing need to analyze and manipulate large networks, only a limited number of tools are available for this task. Here, we describe Stanford Network Analysis Platform (SNAP), a general-purpose, high-performance system that provides easy to use, high-level operations for analysis and manipulation of large networks. We present SNAP functionality, describe its implementational details, and give performance benchmarks. SNAP has been developed for single big-memory machines and it balances the trade-off between maximum performance, compact in-memory graph representation, and the ability to handle dynamic graphs where nodes and edges are being added or removed over time. SNAP can process massive networks with hundreds of millions of nodes and billions of edges. SNAP offers over 140 different graph algorithms that can efficiently manipulate large graphs, calculate structural properties, generate regular and random graphs, and handle attributes and meta-data on nodes and edges. Besides being able to handle large graphs, an additional strength of SNAP is that networks and their attributes are fully dynamic, they can be modified during the computation at low cost. SNAP is provided as an open source library in C++ as well as a module in Python. We also describe the Stanford Large Network Dataset, a set of social and information real-world networks and datasets, which we make publicly available. The collection is a complementary resource to our SNAP software and is widely used for development and benchmarking of graph analytics algorithms. AU - Leskovec, J. AU - Sosic, R. DA - 2016/06/23/ J2 - arXiv KW - C++ language data mining Graph theory public domain software PY - 2016 SP - 00-(20 pp.) ST - SNAP: A General Purpose Network Analysis and Graph Mining Library [arXiv] T2 - arXiv TI - SNAP: A General Purpose Network Analysis and Graph Mining Library [arXiv] UR - http://arxiv.org/abs/1606.07550 ID - 1636 ER - TY - CONF AB - Social media represents a new frontier in disease surveillance. Infoveillance allows for the real-time retrieval of internet data. Our objective was to systematically review the literature utilizing social media as a source for disease prediction and surveillance. A review of English-language conference proceedings and journal articles from 1999 to 2011 using EMBASE and PubMed was conducted. A total of 12 full-text articles were included. Results of these studies show the use of open-source micro-blogging sites to inform influenza-like-illness monitoring. These results inform recommendations for future research directions. 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering. AU - Guy, Stacey AU - Ratzki-Leewing, Alexandria AU - Bahati, Raphael AU - Gwadry-Sridhar, Femida C3 - 4th ICST International Conference on eHealth, eHealth 2011, November 21, 2011 - November 23, 2011 DA - 2012 DO - 10.1007/978-3-642-29262-0_1 KW - data mining Health care Network security Reviews N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2012 SN - 18678211 SP - 1-8 ST - Social media: A systematic review to understand the evidence and application in infodemiology T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering TI - Social media: A systematic review to understand the evidence and application in infodemiology UR - http://dx.doi.org/10.1007/978-3-642-29262-0_1 VL - 91 LNICST ID - 1397 ER - TY - CONF AB - Some of the known issues of recommendation algorithms are a result of the so called 'Cold Start Problem' that is caused by a lack of sufficient data of users, items or the content, which are essential for the calculation of context-sensitive predictions. Along with this comes the 'Sparsity Problem' which also exposes the problem of recommendation systems which are being provided with too little information of user feedback such as likes and views. As a consequent collaborative and knowledge-based filtering algorithms are unable of precise prediction which is causing a decline of the customer satisfaction. If beyond that there also is a lack of metadata, the calculation of similarities through content-based filtering algorithms is likely to fail as well. This paper introduces preference ontologies and how they help to reduce these issues by analyzing external data, in terms of texts from social networks and other web sources. Thereby we introduce a self-designed semantic engine, performing sentiment analysis and semantic keyword extraction. These novel ontologies represent the mined information and thus, describe the users interest in automatic analyzed topics and map them to the meta data of items in recommendation engines. 2014 IEEE. AU - Krauss, Christopher AU - Arbanowski, Stefan C3 - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014, December 14, 2014 DA - 2015 DO - 10.1109/ICDMW.2014.76 KW - Algorithms Collaborative filtering Customer satisfaction data mining Engines Knowledge based systems Metadata Recommender systems Semantics Signal filtering and prediction Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2015 SN - 23759232 SP - 365-372 ST - Social preference ontologies for enriching user and item data in recommendation systems T3 - IEEE International Conference on Data Mining Workshops, ICDMW TI - Social preference ontologies for enriching user and item data in recommendation systems UR - http://dx.doi.org/10.1109/ICDMW.2014.76 VL - 2015-January ID - 1036 ER - TY - JOUR AB - PURPOSE: The purpose of the present systematic review was to evaluate the soft tissue/hard tissue ratio in bilateral sagittal split advancement osteotomy (BSSO) with rigid internal fixation (RIF) or wire fixation (WF). MATERIALS AND METHODS: The databases PubMed, Medline, CINAHL, Web of Science, Cochrane Library, and Google Scholar Beta were searched. From the original 711 articles identified, 12 were finally included. Only 3 studies were prospective and 9 were retrospective. The postoperative follow-up ranged from 3 months to 12.7 years for RIF and 6 months to 5 years for WF. RESULTS: The short- and long-term ratios for the lower lip to lower incisor for BSSO with RIF or WF were 50%. No difference between the short- and long-term ratios for the mentolabial-fold to point B and soft tissue pogonion to pogonion could be observed. It was a 1:1 ratio. One exception was seen for the long-term results of the soft tissue pogonion to pogonion in BSSO with RIF; they tended to be greater than a 1:1 ratio. The upper lip mainly showed retrusion but with high variability. CONCLUSIONS: Despite a large number of studies on the short- and long-term effects of mandibular advancement by BSSO, the results of the present systematic review have shown that evidence-based conclusions on soft tissue changes are still unknown. This is mostly because of the inherent problems of retrospective studies, inferior study designs, and the lack of standardized outcome measures. Well-designed prospective studies with sufficient sample sizes that have excluded patients undergoing additional surgery (ie, genioplasty or maxillary surgery) are needed. AU - Joss, Christof Urs AU - Joss-Vassalli, Isabella Maria AU - Kiliaridis, Stavros AU - Kuijpers-Jagtman, Anne Marie DA - 2010/06//undefined DO - 10.1016/j.joms.2010.01.005 IS - 6 J2 - J Oral Maxillofac Surg KW - *Jaw Fixation Techniques Cephalometry Chin/surgery Clinical Trials as Topic data mining Face/*anatomy & histology Humans Lip/anatomy & histology Mandible/surgery Mandibular Advancement/*methods Orthognathic Surgical Procedures/*methods Osteotomy Recurrence Retrospective studies Statistics as Topic L1 - internal-pdf://2382283400/Joss-2010-Soft tissue profile changes after bi.pdf LA - eng PY - 2010 SN - 1531-5053 0278-2391 SP - 1260-1269 ST - Soft tissue profile changes after bilateral sagittal split osteotomy for mandibular advancement: a systematic review T2 - Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons TI - Soft tissue profile changes after bilateral sagittal split osteotomy for mandibular advancement: a systematic review UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S027823911000056X/1-s2.0-S027823911000056X-main.pdf?_tid=e187eaee-833d-11e6-82e6-00000aacb361&acdnat=1474821428_211a57c43ffaceb6022d501446548282 VL - 68 ID - 248 ER - TY - CONF AB - Software Analytics (SA) is a new branch of big data analytics that has recently emerged (2011). What distinguishes SA from direct software analysis is that it links data mined from many different software artifacts to obtain valuable insights. These insights are useful for the decision-making process throughout the different phases of the software lifecycle. Since SA is currently a hot and promising topic, we have conducted a systematic literature review, presented in this paper, to identify gaps in knowledge and open research areas in SA. Because many researchers are still confused about the true potential of SA, we had to filter out available research papers to obtain the most SA-relevant work for our review. This filtration yielded 19 studies out of 135. We have based our systematic review on four main factors: which software practitioners SA targets, which domains are covered by SA, which artifacts are extracted by SA, and whether these artifacts are linked or not. The results of our review have shown that much of the available SA research only serves the needs of developers. Also, much of the available research uses only one artifact which, in turn, means fewer links between artifacts and fewer insights. This shows that the available SA research work is still embryonic leaving plenty of room for future research in the SA field. 2015 IEEE. AU - Abdellatif, Tamer Mohamed AU - Capretz, Luiz Fernando AU - Ho, Danny C3 - 1st International Workshop on Big Data Software Engineering, BIGDSE 2015, May 23, 2015 DA - 2015 DO - 10.1109/BIGDSE.2015.14 KW - Big data decision making Engineering research Software Design software engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 30-36 ST - Software Analytics to Software Practice: A Systematic Literature Review T3 - Proceedings - 1st International Workshop on Big Data Software Engineering, BIGDSE 2015 TI - Software Analytics to Software Practice: A Systematic Literature Review UR - http://dx.doi.org/10.1109/BIGDSE.2015.14 ID - 487 ER - TY - CONF AB - Software Analytics (SA) is a new branch of big data analytics that has recently emerged (2011). What distinguishes SA from direct software analysis is that it links data mined from many different software artifacts to obtain valuable insights. These insights are useful for the decision-making process throughout the different phases of the software lifecycle. Since SA is currently a hot and promising topic, we have conducted a systematic literature review, presented in this paper, to identify gaps in knowledge and open research areas in SA. Because many researchers are still confused about the true potential of SA, we had to filter out available research papers to obtain the most SA-relevant work for our review. This filtration yielded 19 studies out of 135. We have based our systematic review on four main factors: which software practitioners SA targets, which domains are covered by SA, which artifacts are extracted by SA, and whether these artifacts are linked or not. The results of our review have shown that much of the available SA research only serves the needs of developers. Also, much of the available research uses only one artifact which, in turn, means fewer links between artifacts and fewer insights. This shows that the available SA research work is still embryonic leaving plenty of room for future research in the SA field. AU - Abdellatif, T. M. AU - Capretz, L. F. AU - Ho, D. C3 - 2015 IEEE/ACM 1st International Workshop on Big Data Software Engineering (BIGDSE), 23 May 2015 DA - 2015 DO - 10.1109/BIGDSE.2015.14 KW - Big data data analysis decision making program diagnostics PB - IEEE PY - 2015 SP - 30-6 ST - Software analytics to software practice: a systematic literature review T3 - 2015 IEEE/ACM 1st International Workshop on Big Data Software Engineering (BIGDSE) TI - Software analytics to software practice: a systematic literature review UR - http://dx.doi.org/10.1109/BIGDSE.2015.14 ID - 509 ER - TY - CONF AB - Gaining higher level evolutionary information about large software systems is a key challenge in dealing with increasing complexity and decreasing software quality. Software repositories such as modifications, changes, or release information are rich sources for distinctive kinds of analyses: They reflect the reasons and effects of particular changes made to the software system over a certain period of time. If we can analyze these repositories in an effective way, we get a clearer picture of the status of the software. Software repositories can be analyzed to provide information about the problems concerning a particular feature or a set of features. Hidden dependencies of structurally unrelated but over time logically coupled files exhibit a high potential to illustrate software evolution and possible architectural deterioration. In this tutorial, we describe the investigation of software evolution by taking a step towards reflecting the analysis results against software quality attributes. Different kinds of analyses (from architecture to code) and their interpretation will be presented and discussed in relation to quality attributes. This will show our vision of where such evolution investigations can lead and how they can support development. For that, the tutorial will touch issues such as meta-models for evolution data, data analysis and history mining, software quality attributes, as well as visualization of analysis results. AU - Gall, Harald C. AU - Lanza, Michele C3 - 28th International Conference on Software Engineering 2006, ICSE '06, May 20, 2006 - May 28, 2006 DA - 2006 KW - Computational complexity data mining Data reduction Quality of service software engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2006 SN - 02705257 SP - 1055-1056 ST - Software evolution: Analysis and visualization T3 - Proceedings - International Conference on Software Engineering TI - Software evolution: Analysis and visualization VL - 2006 ID - 1550 ER - TY - CONF AB - CONTEXT - Software Process Improvement (SPI) initiatives create new and improve existing processes to increase productivity, customer satisfaction, quality of product while reducing cost, and time to market thus maximizing Return on investments. OBJECTIVE - The main focus of this paper is to know about the state of art in SPI and to find out the strength of evidence in empirical work reported within SPI literature. METHOD - Methodology of systematic literature review (SLR) is used. A protocol has been developed and executed. Search strings developed and mentioned in the protocol were applied to the databases to extract relevant papers. A set of papers were identified after reading abstracts of papers extracted after application of search string. A quality criterion was applied on this set to finally select the studies for data extraction. Currently, we are at the data extraction phase of SLR. EXPECTED OUTCOME - The anticipated outcome of this systematic review will be state of art in SPI including widely used tools, models, and techniques; reasons to initiate SPI; SPI challenges/Issues widely reported; the SPI areas which are under more consideration; the SPI areas that lack of attention; frequencies of empirical studies in each of the SPI sub-areas. 2012 IEEE. AU - Zil, E. Huma AU - Bano, Muneera AU - Ikram, Naveed C3 - 15th IEEE International Multitopic Conference, INMIC 2012, December 13, 2012 - December 15, 2012 DA - 2012 DO - 10.1109/INMIC.2012.6511481 KW - Customer satisfaction data mining N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 459-464 ST - Software process improvement: A systematic literature review T3 - 2012 15th International Multitopic Conference, INMIC 2012 TI - Software process improvement: A systematic literature review UR - http://dx.doi.org/10.1109/INMIC.2012.6511481 ID - 676 ER - TY - BLOG AB - YHEC, in association with the Systematic Review Toolbox, are running two workshops at The University of York to provide an overview of selected software tools currently available to support the production of systematic reviews. This course ran October 2016 and will run again in 2017. To be notified of course date release please email AU - Wooding, Alicia ST - Software to Support the Systematic Review Process (TBD) T2 - York Health Economics Consortium TI - Software to Support the Systematic Review Process (TBD) UR - http://www.yhec.co.uk/training/software-to-support-systematic-review/ ID - 2484 ER - TY - JOUR AB - Meta-analysis and other statistical methods were used to evaluate how changes in soil organic carbon (SOC) content in post-mining soils are related to different factors; the data were obtained from 17 studies covering 93 temperate post-mining sites in the Northern Hemisphere that had been revegetated by forest or grassland either by reclamation or natural succession. Because many studies have failed to report any measures of variance, only part of the data were used for meta-analysis. According to the meta-analysis, the rate of SOC accumulation was unrelated to vegetation type. In a separate analysis that included all available data and in which rates of SOC accumulation at each site were used as individual entries, the rate of SOC accumulation differed depending on the age of the site and vegetation type. Under deciduous forests, the rate reached a maximum after 5-10 years and then decreased. Under coniferous forests, the initial SOC values were lower than under deciduous forests, but slowly increased with age and reached a maximum after 30-40 years. No significant temporal trend was found in grasslands, probably because the data set included only relatively young grassland sites. Based on data from sites younger than 30 years, sites with grasslands and deciduous forests accumulated SOC faster than sites with coniferous forests. The rate of accumulation was negatively correlated with temperature under coniferous forests, but positively correlated with temperature in grasslands. This suggests that carbon sequestration is favored by cold climates in coniferous forests, but by warm climates in grasslands. Deciduous forests were intermediate. Compared to conifers, deciduous trees may support SOC sequestration deeper in the soil profile, which may enhance SOC stability. A large proportion of post-mining sites reach the pre-mining SOC stock within 20 years or less after reclamation. 2012 Springer-Verlag Berlin Heidelberg. AU - Vindukova, Olga AU - Frouz, Jan DA - 2013 DO - 10.1007/s12665-012-2004-5 IS - 5 J2 - Environmental Earth Sciences KW - Carbon Forestry Land reclamation Reclamation Soils Vegetation N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 18666280 SP - 1685-1698 ST - Soil carbon accumulation after open-cast coal and oil shale mining in Northern Hemisphere: A quantitative review T2 - Environmental Earth Sciences TI - Soil carbon accumulation after open-cast coal and oil shale mining in Northern Hemisphere: A quantitative review UR - http://dx.doi.org/10.1007/s12665-012-2004-5 VL - 69 ID - 1626 ER - TY - JOUR AB - Soil organic matter (SOM) increases with time as landscape is restored. Studying SOM development along restored forest chronosequences would be useful in clarifying some of the uncertainties in quantifying C turnover rates with respect to forest clearance and ensuing restoration. The development of soil organic matter in the mineral soils was studied at four depths in a 16-year-old restored jarrah forest chronosequence. The size-separated SOM fractionation along with delta C-13 isotopic shift was utilised to resolve the soil C temporal and spatial changes with developing vegetation. The restored forest chronosequence revealed several important insights into how soil C is developing with age. Litter accumulation outpaced the native forest levels in 12 years after restoration. The surface soils, in general, showed increase in total C with age, but this trend was not clearly observed at lower depths. C accumulation was observed with increasing restoration age in all three SOM size-fractions in the surface 0-2 cm depth. These biodiverse forests show a trend towards accumulating C in recalcitrant stable forms, but only in the surface 0-2 cm mineral soil. A significant reverse trend was observed for the moderately labile SOM fraction for lower depths with increasing restoration age. Correlating the soil delta C-13 with total C concentration revealed the re-establishment of the isotopically depleted labile to enriched refractory C continuum with soil depth for the older restored sites. This implied that from a pedogenic perspective, the restored soils are developing towards the original native soil carbon profile. AU - George, S. J. AU - Kelly, R. N. AU - Greenwood, P. F. AU - Tibbett, M. DA - 2010/12// DO - 10.1007/s10533-010-9519-1 IS - 1-3 L1 - internal-pdf://3119609031/George-2010-Soil carbon and litter development.pdf PY - 2010 SN - 0168-2563 SP - 197-209 ST - Soil carbon and litter development along a reconstructed biodiverse forest chronosequence of South-Western Australia T2 - Biogeochemistry TI - Soil carbon and litter development along a reconstructed biodiverse forest chronosequence of South-Western Australia VL - 101 ID - 1911 ER - TY - JOUR AB - Biochars vary widely in pH, surface area, nutrient concentration, porosity, and metal binding capacity due to the assortment of feedstock materials and thermal conversion conditions under which it is formed. The wide variety of chemical and physical characteristics have resulted in biochar being used as an amendment to rebuild soil health, improve crop yields, increase soil water storage, and restore soils/spoils impacted by mining. Meta-analysis of the biochar literature has shown mixed results when using biochar as a soil amendment to improve crop productivity. For example, in one meta-analysis, biochar increased crop yield by approximately 10%, while in another, approximately 50% of the studies reported minimal to no crop yield increases. In spite of the mixed crop yield reports, biochars have properties that can improve soil health characteristics, by increasing carbon (C) sequestration and nutrient and water retention. Biochars also have the ability to bind enteric microbes and enhance metal binding in soils impacted by mining. In this review, we present examples of both effective and ineffective uses of biochar to improve soil health for agricultural functions and reclamation of degraded mine spoils. Biochars are expensive to manufacture and cannot be purged from soil after application, so for efficient use, they should be targeted for specific uses in agricultural and environmental sectors. Thus, we introduce the designer biochar concept as an alternate paradigm stating that biochars should be designed with properties that are tailored to specific soil deficiencies or problems. We then demonstrate how careful selection of biochars can increase their effectiveness as a soil amendment. 2016, Springer Science+Business Media New York (outside the USA). AU - Novak, J. M. AU - Ippolito, J. A. AU - Lentz, R. D. AU - Spokas, K. A. AU - Bolster, C. H. AU - Sistani, K. AU - Trippe, K. M. AU - Phillips, C. L. AU - Johnson, M. G. DA - 2016 DO - 10.1007/s12155-016-9720-8 IS - 2 J2 - Bioenergy Research KW - Agriculture Bins Carbon Crops Health image reconstruction Microbiology Microorganisms Nutrients Productivity Restoration Soil moisture Soils N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 19391234 SP - 454-464 ST - Soil Health, Crop Productivity, Microbial Transport, and Mine Spoil Response to Biochars T2 - Bioenergy Research TI - Soil Health, Crop Productivity, Microbial Transport, and Mine Spoil Response to Biochars UR - http://dx.doi.org/10.1007/s12155-016-9720-8 VL - 9 ID - 966 ER - TY - JOUR AB - The Solar Dynamics Observatory (SDO) mission captures thousands of images of the Sun per day, motivating the need for efficient and effective storage, representation, and search over a massive repository of data. This work investigates the general-purpose image parameter data produced by the SDO Feature Finding Team's trainable module, which operates at a fixed six minute cadence over all AIA channels. The data contains ten numerical measures computed for each image cell over a 6464 grid for each image. We analyze all available data and metadata produced over the first three years and present comprehensive statistics and outliers while validating the cleanliness and usability of the data source for future research. We then utilize a database of automated solar event reports to create large-scale region-labeled datasets available to the public. We highlight the new-found potential for data-driven discovery by presenting several best-case labeling scenarios that establish a baseline for comparing machine learning classification and attribute (image parameter) evaluation results. Future work focuses on continued dataset curation and spatiotemporal data mining. [All rights reserved Elsevier]. AU - Schuh, M. A. AU - Angryk, R. A. AU - Martens, P. C. DA - 2015/11// DO - 10.1016/j.ascom.2015.10.004 J2 - Astronomy and Computing KW - astronomical image processing astronomical techniques data mining data structures image classification learning (artificial intelligence) meta data numerical analysis PY - 2015 SN - 2213-1337 SP - 86-98 ST - Solar image parameter data from the SDO: long-term curation and data mining T2 - Astronomy and Computing TI - Solar image parameter data from the SDO: long-term curation and data mining UR - http://dx.doi.org/10.1016/j.ascom.2015.10.004 VL - 13 ID - 1711 ER - TY - JOUR AB - Meta-torbernite, Cu(UO2)2(PO4) 28H2O, is one of the most common secondary minerals resulting from the alteration of pitchblende. The determination of the thermodynamic data associated to this phase appears to be a crucial step toward the understanding the origin of uranium deposits or to forecast the fate and transport of uranium in natural media. A parallel approach based on the study of both synthetic and natural samples of meta-torbernite (H3O) 0.4Cu0.8(UO2)2(PO4) 27.6H2O was set up to evaluate its solubility constant. The two solids were first thoroughly characterized and compared by means of XRD, SEM, X-EDS analyses, Raman spectroscopy and BET measurements. The solubility constant was then determined in both under- and supersaturated conditions: the obtained value appeared close to logKs,0 (298 K) = -52.9 0.1 whatever the type of experiment and the sample considered. The joint determination of Gibbs free energy (RG (298 K) = 300 2 kJ mol-1) then allowed the calculation of RH (298 K) = 40 3 kJ mol-1 and RS (298 K) = -879 7 J mol-1 K -1. From these values, the thermodynamic data associated with the formation of meta-torbernite (H3O)0.4Cu 0.8(UO2)2(PO4)27. 6H2O were also evaluated and found to be consistent with those previously obtained by calorimetry, showing the reliability of the method developed in this work. Finally, the obtained data were implemented in a calculation code to determine the conditions of meta-torbernite formation in environmental conditions typical of a former mining site. 2013 Elsevier B.V. All rights reserved. AU - Cretaz, Fanny AU - Szenknect, Stephanie AU - Clavier, Nicolas AU - Vitorge, Pierre AU - Mesbah, Adel AU - Descostes, Michael AU - Poinssot, Christophe AU - Dacheux, Nicolas DA - 2013 DO - 10.1016/j.jnucmat.2013.08.037 IS - 1-3 J2 - Journal of Nuclear Materials KW - Thermoanalysis Uranium deposits L1 - internal-pdf://3278182219/Cretaz-2013-Solubility properties of synthetic.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 00223115 SP - 195-207 ST - Solubility properties of synthetic and natural meta-torbernite T2 - Journal of Nuclear Materials TI - Solubility properties of synthetic and natural meta-torbernite UR - http://dx.doi.org/10.1016/j.jnucmat.2013.08.037 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0022311513010556/1-s2.0-S0022311513010556-main.pdf?_tid=610137b0-8331-11e6-9328-00000aab0f01&acdnat=1474816059_ed80efbcbf2239284277fa564a3da445 VL - 442 ID - 1383 ER - TY - CONF AB - In this paper we describe the task of automated mining for solutions to highly specific problems. We do so under the premise of mapping the split view on context, introduced by Brezillon and Pomerol, onto three different levels of abstraction of a problem domain. This is done to integrate the notion of activity or focus and its influence on the context into the mining for a solution. We assume that a problem's context describes key characteristics to be decisive criteria in the mining process to mine successful solutions for it. We further detail on the process of a chain of sub problems and their foci adding up to a meta problem solution and how this can used to mine for such solutions. Through a guiding example we introduce basic steps of the solution mining process and common aspects we deem interesting to be analysed closer in upcoming research on solution mining. We further examine the possible integration of these newly established outlines for automatic solution mining for highly specific problems into a Seasaltexp, a currently developed architecture for explanation-aware extraction and case-based processing of experiences from Internet communities. We thereby gained first insights in issues occurring while trying to integrate automatic solution mining. Copyright is held by the International World Wide Web Conference Committee (IW3C2). AU - Sauer, Christian AU - Roth-Berghofer, Thomas C3 - 21st Annual Conference on World Wide Web, WWW'12, April 16, 2012 - April 20, 2012 DA - 2012 DO - 10.1145/2187980.2188193 KW - Solution mining World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2012 SP - 729-738 ST - Solution mining for specific contextualised problems: Towards an approach for experience mining T3 - WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion TI - Solution mining for specific contextualised problems: Towards an approach for experience mining UR - http://dx.doi.org/10.1145/2187980.2188193 ID - 1192 ER - TY - CONF AB - The freshwater demand has increased globally due to rapid population growth and economic expansion. According to the U.N. Environment Program, the global freshwater withdrawal reached 4430 km3 in 2000, and was projected to reach 5240 km3 in 2030, a 38% increase from year 1995. Simultaneously, the global energy demand will increase by 77% from 2006 to 2030. Of the total energy production, thermoelectric power generation accounts for 80-90%. To operate a thermoelectric power plant, such as a coal-fired power plant, a great amount of water is needed for cooling system. Since 2005, thermoelectric energy generation has become the number one freshwater use in the U.S. With the growing demand for freshwater and water shortages in many parts of the U.S., a number of proposed power plants were terminated or suspended due to the lack of freshwater for cooling. Use of alternative water sources will inevitably be a critical solution to ensure sufficient power production in the future. Many types of nontraditional water sources already exist, with drastically varying availability and quality. This study, sponsored by the U.S. Department of Energy, demonstrated the feasibility of using nontraditional water sources, many of which are of impaired quality, for cooling in coal-fired power plants. Three types of impaired water were evaluated: secondary-treated municipal wastewater, passively-treated abandoned mine drainage, and ash settling pond effluent from coal-fired power plants. A systematic review of the existing regulations in the U.S. revealed that using impaired waters for power plant cooling is generally allowed by the state/local governments, with some environmental quality control requirements. A national statistical analysis showed that secondary-treated municipal wastewater is a very promising alternative in terms of its quantity and geographical proximity to power plants. The effluent from only 1 or 2 fairly large publicly owned wastewater treatment facilities will satisfy the total cooling water needs of a coal-fired power plant that is located within a 10-mile radius. Half of the existing coal-fired power plants in the U.S. can benefit from their proximity to secondary effluent discharge points. Despite its widespread availability for use in power plant cooling, municipal wastewater can pose several technical difficulties in cooling systems, including corrosion, scaling, and biofouling. Results from both bench-scale and pilot-scale tests showed that the appropriate chemical treatment regimen can address the problems of corrosion, scaling, and biofouling in cooling systems when secondary-treated municipal wastewater is used as makeup water. AU - Vidic, Radisav D. AU - Li, Heng AU - Chien, Shih-Hsiang AU - Monnell, Jason D. AU - Dzombak, David AU - Hsieh, Ming-Kai C3 - 27th Annual International Pittsburgh Coal Conference 2010, PCC 2010, October 11, 2010 DA - 2010 KW - Abandoned mines Biofouling Coal Coal fueled furnaces Cooling Cooling systems Corrosion Effluents Energy management Fire tube boilers Fossil fuel power plants mining Population statistics Thermoelectric equipment Thermoelectric power Thermoelectric power plants Wastewater treatment Water supply N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Pittsburgh Coal Conference PY - 2010 SP - 362-378 ST - A solution to water crisis in energy production: Feasibility of using impaired waters for coal-fired power plant cooling T3 - 27th Annual International Pittsburgh Coal Conference 2010, PCC 2010 TI - A solution to water crisis in energy production: Feasibility of using impaired waters for coal-fired power plant cooling VL - 1 ID - 468 ER - TY - CONF AB - The open source movement has made vast quantities of source code available online for free, providing an extremely large dataset for empirical study and potential resuse. A major difficulty in exploiting this potential fully is that the data are currently scattered between competing source code repositories, none of which are structured for empirical analysis and cross-project comparison. As a result, software researchers and developers are left to compile their own datasets, resulting in duplicated effort and limited results. To address this challenge, we built SourcererDB, an aggregated repository of statically analyzed and cross-linked open source Java projects. SourcererDB contains local snapshots of 2,852 Java projects taken from Sourceforge, Apache and Java.net. These projects are statically analyzed to extract rich structural information, which is then stored in a relational database. References to entities in the 16,058 external jars are resolved and grouped, allowing for crossproject usage information to be accessed easily. This paper describes: (a) the mechanism for resolving and grouping these cross-project references, (b) the structure of and the metamodel for the SourcererDB repository, and (d) end-user dataset access mechanisms. Our goal in building SourcererDB is to provide a rich dataset of source code to facilitate the sharing of extracted data and to encourage reuse and repeatability of experiments. 2009 IEEE. AU - Ossher, Joel AU - Bajracharya, Sushil AU - Linstead, Erik AU - Baldi, Pierre AU - Lopes, Cristina C3 - 2009 6th IEEE International Working Conference on Mining Software Repositories, MSR 2009, May 16, 2009 - May 17, 2009 DA - 2009 DO - 10.1109/MSR.2009.5069501 KW - COMPUTER software N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2009 SP - 183-186 ST - SourcererDB: An aggregated repository of statically analyzed and cross-linked open source java projects T3 - Proceedings of the 2009 6th IEEE International Working Conference on Mining Software Repositories, MSR 2009 TI - SourcererDB: An aggregated repository of statically analyzed and cross-linked open source java projects UR - http://dx.doi.org/10.1109/MSR.2009.5069501 ID - 716 ER - TY - JOUR AB - BACKGROUND: The use of gene expression profiling in both clinical and laboratory settings would be enhanced by better characterization of variance due to individual, environmental, and technical factors. Meta-analysis of microarray data from untreated or vehicle-treated animals within the control arm of toxicogenomics studies could yield useful information on baseline fluctuations in gene expression, although control animal data has not been available on a scale and in a form best served for data-mining. RESULTS: A dataset of control animal microarray expression data was assembled by a working group of the Health and Environmental Sciences Institute's Technical Committee on the Application of Genomics in Mechanism Based Risk Assessment in order to provide a public resource for assessments of variability in baseline gene expression. Data from over 500 Affymetrix microarrays from control rat liver and kidney were collected from 16 different institutions. Thirty-five biological and technical factors were obtained for each animal, describing a wide range of study characteristics, and a subset were evaluated in detail for their contribution to total variability using multivariate statistical and graphical techniques. CONCLUSION: The study factors that emerged as key sources of variability included gender, organ section, strain, and fasting state. These and other study factors were identified as key descriptors that should be included in the minimal information about a toxicogenomics study needed for interpretation of results by an independent source. Genes that are the most and least variable, gender-selective, or altered by fasting were also identified and functionally categorized. Better characterization of gene expression variability in control animals will aid in the design of toxicogenomics studies and in the interpretation of their results. AU - Boedigheimer, Michael J. AU - Wolfinger, Russell D. AU - Bass, Michael B. AU - Bushel, Pierre R. AU - Chou, Jeff W. AU - Cooper, Matthew AU - Corton, J. Christopher AU - Fostel, Jennifer AU - Hester, Susan AU - Lee, Janice S. AU - Liu, Fenglong AU - Liu, Jie AU - Qian, Hui-Rong AU - Quackenbush, John AU - Pettit, Syril AU - Thompson, Karol L. DA - 2008 DO - 10.1186/1471-2164-9-285 J2 - BMC Genomics KW - *Gene Expression Profiling *Genetic Variation Animals Computational Biology Databases, Nucleic Acid Discriminant Analysis Fasting/metabolism Female Kidney/metabolism Liver/metabolism Male Multivariate Analysis Oligonucleotide Array Sequence Analysis/*statistics & numerical data Principal Component Analysis Rats Rats, Inbred F344 Rats, Sprague-Dawley Rats, Wistar Reference Values Reverse Transcriptase Polymerase Chain Reaction Sex Characteristics Toxicogenetics/*methods L1 - internal-pdf://3259267546/Boedigheimer-2008-Sources of variation in base.pdf LA - eng PY - 2008 SN - 1471-2164 1471-2164 SP - 285 ST - Sources of variation in baseline gene expression levels from toxicogenomics study control animals across multiple laboratories T2 - BMC genomics TI - Sources of variation in baseline gene expression levels from toxicogenomics study control animals across multiple laboratories UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2453529/pdf/1471-2164-9-285.pdf VL - 9 ID - 327 ER - TY - JOUR AB - Oil content of soybean was a valuable quantitative trait controlled by multiple genes. Eleven QTLs were detected by both CIM and MIM method with the population crossed between Charleston and Dong nong594 in recent 3 years (2007, 2008, 2009). Combining the QTLs collected over the past 20 years, an integrated map of oil-content major QTLs in soybean was established using soymap2, which was published in 2004, as a reference. Using the software BioMercator ver.2.1, QTLs were projected from their own maps onto the reference map. In total, ninety-eight QTLs were integrated into soymap2. A meta-analysis method was used to narrow down the confidence interval, and 20 consensus QTLs and their corresponding markers were obtained. Using a local version of GENSCAN, 10,137 sequences in the consensus QTL intervals were predicted. With BLAST, these predicted genes were compared to the International Protein Index database to mine the related genes. The results offer a basis for gene mining and molecular breeding in soybean. AU - Qi, Zhao-ming AU - Wu, Qiong AU - Han, Xue AU - Sun, Ya-nan AU - Du, Xiang-yu AU - Liu, Chun-yan AU - Jiang, Hong-wei AU - Hu, Guo-hua AU - Chen, Qing-shan DA - 2011/06// DO - 10.1007/s10681-011-0386-1 IS - 3 PY - 2011 SN - 0014-2336 SP - 499-514 ST - Soybean oil content QTL mapping and integrating with meta-analysis method for mining genes T2 - Euphytica TI - Soybean oil content QTL mapping and integrating with meta-analysis method for mining genes VL - 179 ID - 1895 ER - TY - CONF AB - A key recent advance in face recognition which models a test face image as a sparse linear combination of training face images has demonstrated robustness against a variety of distortions, albeit under the restrictive assumption of perfect image registration. To overcome this misalignment problem, we propose a graphical learning framework for robust automatic face recognition, utilizing sparse signal representations from face images as features for classification. Our approach combines two key ideas from recent work in: (i) locally adaptive block-based sparsity for face recognition, and (ii) discriminative learning of graphical models. In particular, we learn discriminative graphs on sparse representations obtained from distinct local slices of a face. The graphical models are learnt in a manner such that conditional correlations between these sparse features are first discovered (in the training phase), and subsequently exploited to bring about significant improvements in recognition rates. Experimental results show that the complementary merits of existing sparsity-based face recognition techniques - which use class specific reconstruction error as a recognition statistic - in comparison with our proposed approach can further be mined into building a powerful meta-classifier for face recognition. AU - Srinivas, U. AU - Monga, V. AU - Yi, Chen AU - Tran, T. D. C3 - 2011 45th Asilomar Conference on Signals, Systems and Computers, 6-9 Nov. 2011 DA - 2011 DO - 10.1109/ACSSC.2011.6190206 KW - face recognition feature extraction Graph theory image classification image reconstruction image registration image representation learning (artificial intelligence) statistical analysis PB - IEEE PY - 2011 SP - 1204-8 ST - Sparsity-based face recognition using discriminative graphical models T3 - 2011 45th Asilomar Conference on Signals, Systems and Computers TI - Sparsity-based face recognition using discriminative graphical models UR - http://dx.doi.org/10.1109/ACSSC.2011.6190206 ID - 588 ER - TY - JOUR AB - We investigated the spatial genetic structure of the tiger meta-population in the SatpuraMaikal landscape of central India using population- and individual-based genetic clustering methods on multilocus genotypic data from 273 individuals. The SatpuraMaikal landscape is classified as a global-priority Tiger Conservation Landscape (TCL) due to its potential for providing sufficient habitat that will allow the long-term persistence of tigers. We found that the tiger meta-population in the SatpuraMaikal landscape has high genetic variation and very low genetic subdivision. Individual-based Bayesian clustering algorithms reveal two highly admixed genetic populations. We attribute this to forest connectivity and high gene flow in this landscape. However, deforestation, road widening, and mining may sever this connectivity, impede gene exchange, and further exacerbate the genetic division of tigers in central India. AU - Sharma, Sandeep AU - Dutta, Trishna AU - Maldonado, Jesus E. AU - Wood, Thomas C. AU - Panwar, Hemendra Singh AU - Seidensticker, John DA - 2013/01// DO - 10.1002/ece3.432 IS - 1 PY - 2013 SN - 2045-7758 SP - 48-60 ST - Spatial genetic analysis reveals high connectivity of tiger (Panthera tigris) populations in the Satpura-Maikal landscape of Central India T2 - Ecology and Evolution TI - Spatial genetic analysis reveals high connectivity of tiger (Panthera tigris) populations in the Satpura-Maikal landscape of Central India VL - 3 ID - 2218 ER - TY - CONF AB - How can the efficiency of spatial information inquiries be enhanced in today's fast-growing information age? We are rich in geospatial data but poor in up-to-date geospatial information and knowledge that are ready to be accessed by public users. This paper adopts an approach for querying spatial semantic by building an Web Ontology language (OWL) format ontology and introducing SPARQL Protocol and RDF Query Language (SPARQL) to search spatial semantic relations. It is important to establish spatial semantics that support for effective spatial reasoning for performing semantic query. Compared to earlier keyword-based and information retrieval techniques that rely on syntax, we use semantic approaches in our spatial queries system. Semantic approaches need to be developed by ontology, so we use OWL to describe spatial information extracted by the large-scale map of Wuhan. Spatial information expressed by ontology with formal semantics is available to machines for processing and to people for understanding. The approach is illustrated by introducing a case study for using SPARQL to query geo-spatial ontology instances of Wuhan. The paper shows that making use of SPARQL to search OWL ontology instances can ensure the result's accuracy and applicability. The result also indicates constructing a geo-spatial semantic query system has positive efforts on forming spatial query and retrieval. AU - Xiao, Zhifeng AU - Huang, Lei AU - Zhai, Xiaofang C3 - International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 13-14 Oct. 2009 DA - 2009 DO - 10.1117/12.838556 KW - electronic data interchange Geographic information systems knowledge representation languages meta data Query languages query processing Semantic Web spatial reasoning PB - SPIE - The International Society for Optical Engineering PY - 2009 SN - 0277-786X SP - 74921P-(10 pp.) ST - Spatial information semantic query based on SPARQL T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE - Int. Soc. Opt. Eng. (USA) TI - Spatial information semantic query based on SPARQL UR - http://dx.doi.org/10.1117/12.838556 VL - 7492 ID - 810 ER - TY - JOUR AB - One of the most promising applications of data mining is in biomedical data used in patient diagnosis. Any method of data analysis intended to support the clinical decision-making process should meet several criteria: it should capture clinically relevant features, be computationally feasible, and provide easily interpretable results. In an initial study, we examined the feasibility of using Zernike polynomials to represent biomedical instrument data in conjunction with a decision tree classifier to distinguish between the diseased and non-diseased eyes. Here, we provide a comprehensive follow-up to that work, examining a second representation, pseudo-Zernike polynomials, to determine whether they provide any increase in classification accuracy. We compare the fidelity of both methods using residual root-mean-square (rms) error and evaluate accuracy using several classifiers: neural networks, C4.5 decision trees, Voting Feature Intervals, and Naive Bayes. We also examine the effect of several meta-learning strategies: boosting, bagging, and Random Forests (RFs). We present results comparing accuracy as it relates to dataset and transformation resolution over a larger, more challenging, multi-class dataset. They show that classification accuracy is similar for both data transformations, but differs by classifier. We find that the Zernike polynomials provide better feature representation than the pseudo-Zernikes and that the decision trees yield the best balance of classification accuracy and interpretability. 2007 IEEE. AU - Marsolo, Keith AU - Twa, Michael AU - Bullimore, Mark A. AU - Parthasarathy, Srinivasan DA - 2007 DO - 10.1109/TITB.2006.879591 IS - 2 J2 - IEEE Transactions on Information Technology in Biomedicine KW - Classification (of information) Computer aided diagnosis data mining decision trees feature extraction Neural networks polynomials N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2007 SN - 10897771 SP - 203-212 ST - Spatial modeling and classification of corneal shape T2 - IEEE Transactions on Information Technology in Biomedicine TI - Spatial modeling and classification of corneal shape UR - http://dx.doi.org/10.1109/TITB.2006.879591 VL - 11 ID - 892 ER - TY - JOUR AB - A query framework for spatial targeting within a 3-D geographic information system (GIS) software environment is introduced. Input to a query consists of parameters relevant to the query type together with a set of Common Earth Modelling objects represented as point sets, polygonal lines, surfaces, and grids or a region set (subset) thereof. The result of a 3-D GIS query is a region within each of the input objects that consists of nodes or grid cells where the query criteria was satisfied. We provide example scenarios, drawn from mineral exploration, where 3-D queries are used to guide spatial targeting within a near-mine or regional map scale setting. Query types supported are: Proximity query (to a "probe" object), property query (numeric attribute), shell query (containment within a closed surface), meta-data query, feature query (dome, depression, curvature), trend query (dip plane, vector) and intersection query (with a "probe" object). Queries can be specific for a given object type but in general transcend object types. Standard set theoretical operations for a query results in newly defined regions and are supported within the Gocad development environment. This development focuses on queries relevant in the 3-D data integration and interpretation stages of mature geological model development as well as early analysis, typically undertaken before a fully partitioned and attributed 3-D topological model is available. Crown Copyright 2005 Published by Elsevier Ltd. All rights reserved. AU - Sprague, Kevin AU - de Kemp, Eric AU - Wong, Winston AU - McGaughey, John AU - Perron, Gervais AU - Barrie, Tucker DA - 2006 DO - 10.1016/j.cageo.2005.07.008 IS - 3 J2 - Computers and Geosciences KW - COMPUTER software Geographic information systems Geologic models Metadata Mineral exploration mining Query languages Three dimensional N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2006 SN - 00983004 SP - 396-418 ST - Spatial targeting using queries in a 3-D GIS environment with application to mineral exploration T2 - Computers and Geosciences TI - Spatial targeting using queries in a 3-D GIS environment with application to mineral exploration UR - http://dx.doi.org/10.1016/j.cageo.2005.07.008 VL - 32 ID - 657 ER - TY - JOUR AB - The general method of multicomponent mixtures analysis is presented. This method is based on absorption spectra in UV (aromatic hydrocarbons) or IR (aliphatic hydrocarbons) of pure analysed components and calibrating mixtures of well defined fraction components. The basis of the presented method is the correlation equation between spectra of tested mixtures and spectra of their pure components, measured in more than 200 points. The method was tested in UV and IR regions. Using 57 UV spectra of two-. three- or four-component hexane solutions of pyrene, anthracene, phenanthrene, naphthalene as well asortho-, meta- and para-xylenes, were tested. Similarly, using 38 IR spectra of two, three- or four-component solutions ofn-hexane, cyclohexane, cycloocta- 1,5-diene and squalane in CCl4, were examined. The content of deter-mined components varied from 3 to over 96% whereas the absolute determination error varied from 0 to 5.1% what corresponds to relative errors up to about 17% in both cases of IR and UV spectra. The preparation of testing samples was recognized as the main source of errors. The presented method is rapid because it omits the time-consuming stage of preparation of calibrated solutions. The analysis time is shorter than 5 min if spectra of pure components were measured earlier and computerised spectrophotometers were applied. AU - Soroka, J. A. AU - Soroka, K. B. DA - 2002 IS - 1 PY - 2002 SN - 0009-2223 SP - 49-63 ST - Spectral correlation methods in multicomponent analysis. Part I. Determination of hydrocarbons using IR and UV spectra T2 - Chemia Analityczna TI - Spectral correlation methods in multicomponent analysis. Part I. Determination of hydrocarbons using IR and UV spectra VL - 47 ID - 2221 ER - TY - CONF AB - Spectroscopic and photophysical properties of two fluorescent probes for monosaccharides are presented. Probes are based on the N-phenyl-1,8- naphthalimide structure having the boronic acid group [R-B(OH)2] in ortho in one case, and meta in the other case, positions of the N-phenyl group. Formation of the anionic form of the boronic acid group [R-B(OH) 3-] induced a substantial decrease of the steady-state fluorescence of both compounds. Because no change in the fluorescence lifetime from the neutral to the anionic forms is observed, static quenching resulting from photoinduced electron transfer from the anionic form of the boronic acid is used to explain the decrease of the emission intensity. Both compounds show substantial decreases of their fluorescence intensity in the presence of sugars. In addition, this decrease of the fluorescence intensity is associated with an increase of the fluorescence lifetime for the ortho derivative while no effect on the lifetime is observed for the meta derivative. Both photoinduced electron transfer and steric hindrance are discussed to correlate the observed results. AU - DiCesare, Nicolas AU - Adhikari, Devi P. AU - Heynekamp, Justin J. AU - Heagy, Michael D. AU - Lakowicz, Joseph R. DA - 2002 DO - 10.1023/A:1016884011396 KW - Conformations Correlation methods Derivatives Electrons Fluorescence Glucose Ground state Negative ions pH effects Quenching Sensors Spectroscopic analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Kluwer Academic/Plenum Publishers PY - 2002 SN - 10530509 SP - 147-154 ST - Spectroscopic and Photophysical Characterization of Fluorescent Chemosensors for Monosaccharides Based on N-Phenylboronic Acid Derivatives of 1,8-Naphthalimide T3 - Journal of Fluorescence TI - Spectroscopic and Photophysical Characterization of Fluorescent Chemosensors for Monosaccharides Based on N-Phenylboronic Acid Derivatives of 1,8-Naphthalimide UR - http://dx.doi.org/10.1023/A:1016884011396 VL - 12 ID - 521 ER - TY - JOUR AB - The paper defines speech recognition, and discusses search functions, look-forward combinations, and names and subjects, to achieve automatic meta-data generation. Analysis of spoken information is termed "media mining". The author suggests that the following questions could be answered: which subject; which persons were mentioned; where was country X mentioned; what was said about country X; who spoke?. The paper refers to a "media mining indexer" and to n recognition and to classification of key-words. The output of the indexer is to be transferred to an applications server computer with "'media mining explorer" implemented in Enterprise Java Beans. Support for various languages is discussed, and the media mining program architecture is considered. AU - Kerbl, M. DA - 2002/07// IS - 7 J2 - Fernseh- und Kino-Technik KW - database indexing data mining distributed object management information retrieval Java meta data pattern classification radio broadcasting speech recognition television broadcasting PY - 2002 SN - 1430-9947 SP - 398-402 ST - Speech recognition from radio and TV programs T2 - Fernseh- und Kino-Technik TI - Speech recognition from radio and TV programs VL - 56 ID - 1401 ER - TY - CONF AB - When therapy using IFN (interferon) medication for chronic hepatitis patients, various conceptual knowledge/rules will benefit for giving a treatment. The paper describes our work on cooperatively using various data mining agents including the GDT-RS inductive learning system for discovering decision rules, the LOI (learning with ordered information) for discovering ordering rules and important features, as well as the POM (peculiarity oriented mining) for finding peculiarity data/rules, in a spiral discovery process with multi-phase such as preprocessing, rule mining, and post-processing, for multi-aspect analysis of the hepatitis data and meta learning. Our methodology and experimental results show that the perspective of medical doctors will be changed from a single type of experimental data analysis towards a holistic view, by using our multi-aspect mining approach. AU - Ohshima, M. AU - Okuno, T. AU - Fujita, Y. AU - Zhong, N. AU - Dong, J. AU - Yokoi, H. C3 - Active Mining. Second International Workshop, AM 2003. Revised Selected Papers, 28 Oct. 2003 DA - 2003 KW - data mining Diseases learning by example medical information systems Patient treatment PB - Springer-Verlag PY - 2003 SP - 210-35 ST - Spiral multi-aspect hepatitis data mining T3 - Active Mining. Second International Workshop, AM 2003. Revised Selected Papers (Lecture Notes in Artificial Intelligence Vol. 3430) TI - Spiral multi-aspect hepatitis data mining ID - 1712 ER - TY - CONF AB - When therapy using IFN (interferon) medication for chronic hepatitis patients, various conceptual knowledge/rules will benefit for giving a treatment. The paper describes our work on cooperatively using various data mining agents including the GDT-RS inductive learning system for discovering decision rules, the LOI (learning with ordered information) for discovering ordering rules and important features, as well as the POM (peculiarity oriented mining) for finding peculiarity data/rules, in a spiral discovery process with multi-phase such as pre-processing, rule mining, and post-processing, for multi-aspect analysis of the hepatitis data and meta learning. Our methodology and experimental results show that the perspective of medical doctors will be changed from a single type of experimental data analysis towards a holistic view, by using our multi-aspect mining approach. Springer-Verlag Berlin Heidelberg 2005. AU - Ohshima, Muneaki AU - Okuno, Tomohiro AU - Fujita, Yasuo AU - Zhong, Ning AU - Dong, Juzhen AU - Yokoi, Hideto C3 - Second International Workshop on Active Mining, AM 2003, October 28, 2003 - October 31, 2003 DA - 2005 KW - data mining Data reduction Decision theory Diseases Logic programming Medical applications Patient treatment N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2005 SN - 03029743 SP - 210-235 ST - Spiral multi-aspect hepatitis data mining T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Spiral multi-aspect hepatitis data mining VL - 3430 LNAI ID - 1607 ER - TY - CONF AB - We present a sport skill data analysis with time series image data retrieved from motion pictures, focused on table tennis. We do not use body nor skeleton model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table tennis, and discuss mono and meta-functional skills for improving skills. 2014 IEEE. AU - Maeda, Toshiyuki AU - Fujii, Masanori AU - Hayashi, Isao C3 - 2014 13th IEEE International Workshop on Advanced Motion Control, AMC 2014, March 14, 2014 - March 16, 2014 DA - 2014 DO - 10.1109/AMC.2014.6823337 KW - data mining Knowledge acquisition Motion control Motion pictures SportS time series N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2014 SP - 530-535 ST - Sport motion picture analysis as time series data T3 - International Workshop on Advanced Motion Control, AMC TI - Sport motion picture analysis as time series data UR - http://dx.doi.org/10.1109/AMC.2014.6823337 ID - 1592 ER - TY - CONF AB - We present an analysis of sport skill using data mining methods from motion pictures, focused on table tennis. We do not use body model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table tennis, and discuss mono and meta-functional skills for improving skills. AU - Maeda, T. AU - Fujii, M. AU - Hayashi, I. C3 - IADIS International Conference on Applied Computing 2012, 19-21 Oct. 2012 DA - 2012 KW - data mining image motion analysis sport time series PB - IADIS Press PY - 2012 SP - 123-30 ST - Sport skill analysis through data mining from motion picture T3 - Proceedings of the IADIS International Conference on Applied Computing 2012 TI - Sport skill analysis through data mining from motion picture ID - 1844 ER - TY - JOUR AB - We present sport skill data analysis with time series data from motion pictures, focused on table tennis. We use neither body nor skeleton model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table tennis, and discuss mono and meta-functional skills for improving skills. AU - Maeda, T. AU - Fujii, M. AU - Hayashi, I. AU - Yajima, M. DA - 2014 J2 - International Journal of Computer Information Systems and Industrial Management Applications KW - data mining sport time series PY - 2014 SN - 2150-7988 SP - 373-80 ST - Sport skill analysis with time series data T2 - International Journal of Computer Information Systems and Industrial Management Applications TI - Sport skill analysis with time series data VL - 6 ID - 1548 ER - TY - CHAP AB - We present a sport skill classification using time series motion picture data, focused on table tennis. We do not use body nor skeleton model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table tennis, and discuss mono and meta-functional skills for improving skills. AU - Maeda, Toshiyuki AU - Fujii, Masanori AU - Hayashi, Isao AU - Tasaka, Tokio PY - 2014 SN - 978-1-4799-4032-5 SP - 5272-5277 ST - Sport Skill Classification Using Time Series Motion Picture Data T2 - 40th Annual Conference of the Ieee Industrial Electronics Society (iecon 2014) TI - Sport Skill Classification Using Time Series Motion Picture Data ID - 2027 ER - TY - JOUR AB - We present a novel generic method to better understand the divergent activities of molecules that often occur in orthogonal assays. The newly developed simple prediction of activity differences (SPREAD) method directly aims to model and understand the differences compounds exhibit when tested in two or more assays. By transforming the activity values from the assays into meta-categories (specifically defined for datasets under scrutiny), statistical models can be trained directly on the qualitative differences between assays. This contributes heavily toward a tangible understanding of molecular assay selectivity. Although ensembles of models could be used alternatively to predict compounds that score highly in one assay and low in another, the advantage of the SPREAD approach is that the chemical features influencing assay differences are parsed out immediately as a consequence of training the model on the coincident assay differences. By training the model that describes the difference between two or more assays, molecular substructures that are responsible for assay selectivity can be parsed out. The method was validated by using four challenging datasets. 2009 Wiley Periodicals, Inc. AU - Scheiber, Josef AU - Jenkins, Jeremy L. AU - Bender, Andreas AU - Milik, Mariusz AU - Mikhailov, Dmitri AU - Sukuru, Sai Chetan K. AU - Cornett, Ben AU - Whitebread, Steven AU - Urban, Laszlo AU - Davies, John W. AU - Glick, Meir DA - 2009 DO - 10.1002/sam.10036 IS - 2 J2 - Statistical Analysis and Data Mining KW - Assays Chemical compounds Forecasting N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 19321872 SP - 115-122 ST - SPREAD-exploiting chemical features that cause differential activity behavior T2 - Statistical Analysis and Data Mining TI - SPREAD-exploiting chemical features that cause differential activity behavior UR - http://dx.doi.org/10.1002/sam.10036 VL - 2 ID - 838 ER - TY - CONF AB - Search is seen as a key application that can benefit from semantic technology with improvements to recall and precision over conventional information retrieval techniques. This paper describes Squirrel, a search and browse tool that provides access to semantically annotated data. Squirrel provides combined keyword based and semantic searching. The intention is to provide a balance between the speed and ease of use of simple free text search and the power of semantic search. In addition, the ontological approach provides the user with a much richer browsing experience. Squirrel builds on and integrates a number of semantic technology components. These include machine learning and information extraction components which generate, extract and manage semantic metadata contained within and about textual documents at index time. A number of run-time components have also been integrated to deliver an enhanced user experience which goes beyond merely presenting a list of documents as a query response. The tool has been trialed and evaluated in two case studies and we report early results from this exercise, revealing promising results. AU - Duke, A. AU - Glover, T. AU - Davies, J. C3 - Semantic Web: Research and Applications. 4th European Semantic Web Conference, ESWC 2007, 3-7 June 2007 DA - 2007 KW - information retrieval learning (artificial intelligence) meta data ontologies (artificial intelligence) Search Engines Semantic Web text analysis PB - Springer-Verlag PY - 2007 SP - 341-55 ST - Squirrel: an advanced semantic search and browse facility T3 - Semantic Web: Research and Applications. Proceedings 4th European Semantic Web Conference, ESWC 2007 TI - Squirrel: an advanced semantic search and browse facility ID - 701 ER - TY - JOUR AB - Sr-rich hollandite and cryptomelane (general formula A(x)R(8)O(16). nH(2)O where Ba2+ and K+, respectively, are the distinctive cations) occur in braunite stratiform ores interbedded to the cherts (Cerchiara mine, E Liguria) and in marbles and meta-arenites (Val Corsaglia, Maritime Alps). Cryptomelane and hollandite analysed from the two localities are solid solutions with very low or absent manjiroite substitution; SrO content is generally high, up to 3.94 wt %, both in K- and Ba-rich terms; the higher values occur in K-rich terms. The growth of coexisting K-rich and Ba-rich members in prehnite-pumpellyite facies conditions suggests a limited extent of replacement between Ba2+ and K+ ions. The introduction of Sr2+ replacing Ba2+ and K+ ions does not affect significantly the size of this compositional gap. AU - Cabella, R. AU - Lucchetti, G. AU - Marescotti, P. DA - 1995/09// IS - 9 PY - 1995 SN - 0028-3649 SP - 395-407 ST - SR-RICH HOLLANDITE AND CRYPTOMELANE IN BRAUNITE-ORES OF MARITIME-ALPS AND EASTERN LIGURIA (ITALY) T2 - Neues Jahrbuch Fur Mineralogie-Monatshefte TI - SR-RICH HOLLANDITE AND CRYPTOMELANE IN BRAUNITE-ORES OF MARITIME-ALPS AND EASTERN LIGURIA (ITALY) ID - 2285 ER - TY - CONF AB - The meta-stable behaviour of spoil heaps backfilled rearwards in the excavation poses an ever-present hazard to the safety of exploitation works in open pit mines. The paper describes the investigations related to the Visonta lignite mines in North-Hungary. Geophysical soundings were carried out to get an insight into the structure and density of the unconsolidated fill. Special laboratory compression tests were made to determine the conditions required for pore pressures to build up in the loose, inhomogeneous fill under increasing overburden pressure. The results were used in stability calculations of backfill slopes. By way of back-analysis of past heap failures tentative design charts were developed. AU - Lazanyi, I. AU - Kabai, I. C3 - Proceedings of the 12th International Conference on Soil Mechanics and Foundation Engineering, August 13, 1989 - August 18, 1989 DA - 1989 KW - Excavation Fillers geophysical prospecting Lignite Mines and Mining - Open Pit Soils Soils - Stabilization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Publ by A.A. Balkema PY - 1989 SP - 1573-1578 ST - Stability and pore pressure build-up in spoil heaps of open cast lignite mine T3 - Proceedings of the International Conference on Soil Mechanics and Foundation Engineering TI - Stability and pore pressure build-up in spoil heaps of open cast lignite mine VL - 3 ID - 817 ER - TY - JOUR AB - The Central and North Deborah gold deposits are located in one of 15 mining Centers of the Bendigo gold field, Central Victoria, Australia, a major world-class gold province developed in a turbidite terrane. Gold mineralization occurs primarily within domes and reverse-fault systems in multiply deformed Lower Ordovician metaturbidites. Deformation and thrusting occured between 450 and 420 Ma coevally with regional metamorphism at zeolite to greenschist facies. In the Central and North Deborah deposits six stages of quartz veining, each with characteristic geometry and mineral paragenesis, developed sequentially: stages 1, 2, and 4 are gold-bearing, whereas stages 3, 5, and 6 are barren. Gold-related quartz veins were deposited at temperatures of 350C 25C based on oxygen isotope geothermometry of silicate phases (quartz-muscovite) and sulfur isotope compositions of coexisting sulfide mineral pairs (sphalerite-galena). This result is consistent with temperatures inferred from fluid inclusions. The 18O values of gold-bearing vein quartz and coexisting hydrothermal muscovite are uniform within and between the six vein stages ranging from 15.9 to 17.2 per mil and 11.6 to 12.8 per mil, respectively. The D values of hydrothermal muscovites are also uniform at -68 to -55 per mil. Ore fluids have calculated 18O values of 8 to 11 per mil and D values of-37 to -17 per mil. Pyrite of synsedimentary-diagenetic origin in slate and sandstone displays sulfur isotope compositions of -23.5 to -8.0 per mil and -0.1 to +11.9 per mil, respectively. Sulfides from gold-bearing quartz veins have a range of -7.4 to + 8.1 per mil (median ca. +2.5%0). The relatively uniform vein pyrites indicate a large, uniform sulfur source, most likely from desulfidation reactions of sulfide minerals; interaction of the ore-forming fluid with depleted sulfides at the site of deposition may have shifted the sulfur isotope signatures of source sulfides to more negative values. Carbon isotope compositions of carbonates range from -5.1 to -9.0 per mil (median ca. -6.5%0). Nitrogen concentrations and nitrogen isotope compositions of hydrothermal muscovite from quartz veins are 652 to 895 ppm and 2.84 to 4.49 per mil, respectively. Collectively, the data define a band in N content versus 15N coordinate space from higher N and lower 15N in the Phanerozoic metasedimenary-hosted Central and North Deborah gold deposits to lower N and higher 15N in predominantly meta-igneous-hosted Neoarchean gold provinces. Collectively, the H, O, S, C, and N isotope compositions of ore-related hydrothermal minerals indicate that the dilute, aqueous carbonic and N-bearing ore-forming fluids were generated from metamorphic dehydration reactions at deeper crustal levels and were variably influenced by exchange with wall rocks during transport to the site of deposition. This genetic model for the Central and North Deborah gold deposits is consistent with other turbidite-hosted lode gold deposits and counterparts in volcanic-plutonic terranes. In contrast, these data are not consistent with either mantle-derived fluids or magmatic fluids, nor do they support a deeply circulated meteoric surface water model for vein formation. AU - Jia, Y. AU - Li, X. AU - Kerrich, R. DA - 2001 DO - 10.2113/gsecongeo.96.4.705 IS - 4 J2 - Economic Geology KW - Geology Gold deposits Hydrothermal synthesis Isotopes Mineralogy Sulfur Zeolites L1 - internal-pdf://0033713861/Jia-2001-Stable isotope (O, H, S, C, and N) sy.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2001 SN - 03610128 SP - 705-721 ST - Stable isotope (O, H, S, C, and N) systematics of quartz vein systems in the turbidite-hosted Central and North Deborah gold deposits of the Bendigo gold field, Central Victoria, Australia: Constraints on the origin of ore-forming fluids T2 - Economic Geology TI - Stable isotope (O, H, S, C, and N) systematics of quartz vein systems in the turbidite-hosted Central and North Deborah gold deposits of the Bendigo gold field, Central Victoria, Australia: Constraints on the origin of ore-forming fluids UR - http://dx.doi.org/10.2113/gsecongeo.96.4.705 http://econgeol.geoscienceworld.org.ezproxy.lib.vt.edu/content/econgeo/96/4/705.full.pdf VL - 96 ID - 645 ER - TY - CONF AB - Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utilize hidden common cause relations among variables of interest in order to improve performance in the two related regression tasks. Specifically, we propose stacked Gaussian process learning, a meta-learning scheme in which a base Gaussian process is enhanced by adding the posterior covariance functions of other related tasks to its covariance function in a stage-wise optimization. The idea is that the stacked posterior covariances encode the hidden common causes among variables of interest that are shared across the related regression tasks. Stacked Gaussian process learning is efficient, capable of capturing shared common causes, and can be implemented with any kind of standard Gaussian process regression model such as sparse approximations and relational variants. Our experimental results on real-world data from the market relevant application show that stacked Gaussian processes learning can significantly improve prediction performance of a standard Gaussian process. 2009 IEEE. AU - Neumann, Marion AU - Kersting, Kristian AU - Xu, Zhao AU - Schulz, Daniel C3 - 9th IEEE International Conference on Data Mining, ICDM 2009, December 6, 2009 - December 9, 2009 DA - 2009 DO - 10.1109/ICDM.2009.56 KW - Bayesian networks Gaussian distribution Gaussian noise (electronic) Regression Analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2009 SN - 15504786 SP - 387-396 ST - Stacked Gaussian process learning T3 - Proceedings - IEEE International Conference on Data Mining, ICDM TI - Stacked Gaussian process learning UR - http://dx.doi.org/10.1109/ICDM.2009.56 ID - 906 ER - TY - JOUR AB - The prediction of the translation initiation site in an mRNA or cDNA sequence is an essential step in gene prediction and an open research problem in bioinformatics. Although recent approaches perform well, more effective and reliable methodologies are solicited. We developed an adaptable data mining method, called StackTIS, which is modular and consists of three prediction components that are combined into a meta-classification system, using stacked generalization, in a highly effective framework. We performed extensive experiments on sequences of two diverse eukaryotic organisms (Homo sapiens and Oryza sativa), indicating that StackTIS achieves statistically significant improvement in performance. AU - Tzanis, George AU - Berberidis, Christos AU - Vlahavas, Ioannis DA - 2012/01//undefined DO - 10.1016/j.compbiomed.2011.10.009 IS - 1 J2 - Comput Biol Med KW - *Protein Biosynthesis *Support Vector Machine *Transcription Initiation Site Bayes Theorem Computational Biology/*methods Databases, Genetic Data Mining/*methods DNA, Complementary/genetics Humans Oryza/genetics RNA, Messenger/genetics Sequence Analysis, DNA Sequence Analysis, RNA LA - eng PY - 2012 SN - 1879-0534 0010-4825 SP - 61-69 ST - StackTIS: a stacked generalization approach for effective prediction of translation initiation sites T2 - Computers in biology and medicine TI - StackTIS: a stacked generalization approach for effective prediction of translation initiation sites VL - 42 ID - 375 ER - TY - JOUR AB - BACKGROUND: The Adverse Event Reporting System (AERS) is an FDA database providing rich information on voluntary reports of adverse drug events (ADEs). Normalizing data in the AERS would improve the mining capacity of the AERS for drug safety signal detection and promote semantic interoperability between the AERS and other data sources. In this study, we normalize the AERS and build a publicly available normalized ADE data source. The drug information in the AERS is normalized to RxNorm, a standard terminology source for medication, using a natural language processing medication extraction tool, MedEx. Drug class information is then obtained from the National Drug File-Reference Terminology (NDF-RT) using a greedy algorithm. Adverse events are aggregated through mapping with the Preferred Term (PT) and System Organ Class (SOC) codes of Medical Dictionary for Regulatory Activities (MedDRA). The performance of MedEx-based annotation was evaluated and case studies were performed to demonstrate the usefulness of our approaches. RESULTS: Our study yields an aggregated knowledge-enhanced AERS data mining set (AERS-DM). In total, the AERS-DM contains 37,029,228 Drug-ADE records. Seventy-one percent (10,221/14,490) of normalized drug concepts in the AERS were classified to 9 classes in NDF-RT. The number of unique pairs is 4,639,613 between RxNorm concepts and MedDRA Preferred Term (PT) codes and 205,725 between RxNorm concepts and SOC codes after ADE aggregation. CONCLUSIONS: We have built an open-source Drug-ADE knowledge resource with data being normalized and aggregated using standard biomedical ontologies. The data resource has the potential to assist the mining of ADE from AERS for the data mining research community. AU - Wang, Liwei AU - Jiang, Guoqian AU - Li, Dingcheng AU - Liu, Hongfang DA - 2014 DO - 10.1186/2041-1480-5-36 J2 - J Biomed Semantics LA - eng PY - 2014 SN - 2041-1480 SP - 36 ST - Standardizing adverse drug event reporting data T2 - Journal of biomedical semantics TI - Standardizing adverse drug event reporting data VL - 5 ID - 362 ER - TY - JOUR AB - Normalizing data in the Adverse Event Reporting System (AERS), an FDA database, would improve the mining capacity of AERS for drug safety signal detection. In this study, we aim to normalize AERS and build a publicly available normalized Adverse drug events (ADE) data source.he drug information in AERS is normalized to RxNorm, a standard terminology source for medication. Drug class information is then obtained from the National Drug File - Reference Terminology (NDF-RT). Adverse drug events (ADE) are aggregated through mapping with the PT (Preferred Term) and SOC (System Organ Class) codes of MedDRA. Our study yields an aggregated knowledge-enhanced AERS data mining set (AERS-DM). The AERS-DM could provide more perspectives to mine AERS database for drug safety signal detection and could be used by research community in the data mining field. AU - Wang, Liwei AU - Jiang, Guoqian AU - Li, Dingcheng AU - Liu, Hongfang DA - 2013 J2 - Stud Health Technol Inform KW - *Practice Guidelines as Topic *RxNorm *Vocabulary, Controlled Adverse Drug Reaction Reporting Systems/*standards Databases, Pharmaceutical/*standards Data Mining/*standards Documentation/*standards Medical Record Linkage United States United States Food and Drug Administration LA - eng PY - 2013 SN - 0926-9630 0926-9630 SP - 1101 ST - Standardizing drug adverse event reporting data T2 - Studies in health technology and informatics TI - Standardizing drug adverse event reporting data VL - 192 ID - 316 ER - TY - CONF AB - We introduce an initiative to develop a harmonised datamodel and XML encoding for the exchange of geologic data. The scope is approximately those data that may appear in some form on a geologic map, as distinct from a model of a geologic map. The model uses patterns designed for implementation as a GML Application Schema, which ensures compatibility with standard web-service interfaces from the Open Geospatial Consortium. The meta-model is based on features and properties, and leads to a rich information-oriented transfer encoding. The availability of standard patterns for mapping from UML provides a convenient bridge to existing conceptual models available from several sources. AU - Cox, Simon AU - Brodaric, Boyan AU - Laxton, John C3 - 2005 Annual Conference of the International Association for Mathematical Geology: GIS and Spatial Analysis, IAMG 2005, August 21, 2005 - August 26, 2005 DA - 2005 KW - Encoding (symbols) Geologic models N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IAMG 2005 Conference Secretariat PY - 2005 SP - 826-831 ST - Standardizing geologic data interchange: The CGI datamodel collaboration T3 - GIS and Spatial Analysis - 2005 Annual Conference of the International Association for Mathematical Geology, IAMG 2005 TI - Standardizing geologic data interchange: The CGI datamodel collaboration ID - 764 ER - TY - JOUR AB - Numerous sub-cellular through system-level disturbances have been identified in over 1300 articles examining the superoxide dismutase-1 guanine 93 to alanine (SOD1-G93A) transgenic mouse amyotrophic lateral sclerosis (ALS) pathophysiology. Manual assessment of such a broad literature base is daunting. We performed a comprehensive informatics-based systematic review or 'field analysis' to agnostically compute and map the current state of the field. Text mining of recaptured articles was used to quantify published data topic breadth and frequency. We constructed a nine-category pathophysiological function-based ontology to systematically organize and quantify the field's primary data. Results demonstrated that the distribution of primary research belonging to each category is: systemic measures an motor function, 59%; inflammation, 46%; cellular energetics, 37%; proteomics, 31%; neural excitability, 22%; apoptosis, 20%; oxidative stress, 18%; aberrant cellular chemistry, 14%; axonal transport, 10%. We constructed a SOD1-G93A field map that visually illustrates and categorizes the 85% most frequently assessed sub-topics. Finally, we present the literature-cited significance of frequently published terms and uncover thinly investigated areas. In conclusion, most articles individually examine at least two categories, which is indicative of the numerous underlying pathophysiological interrelationships. An essential future path is examination of cross-category pathophysiological interrelationships and their co-correspondence to homeostatic regulation and disease progression. AU - Kim, Renaid B. AU - Irvin, Cameron W. AU - Tilva, Keval R. AU - Mitchell, Cassie S. DA - 2015 DO - 10.3109/21678421.2015.1047455 IS - 1-2 J2 - Amyotroph Lateral Scler Frontotemporal Degener KW - calcium excitotoxicity gliosis Mitochondria neuropathology protein aggregation reactive oxygen species rotarod L1 - internal-pdf://1101513928/iafd-17-001.pdf LA - eng PY - 2015 SN - 2167-9223 2167-8421 SP - 1-14 ST - State of the field: An informatics-based systematic review of the SOD1-G93A amyotrophic lateral sclerosis transgenic mouse model T2 - Amyotrophic lateral sclerosis & frontotemporal degeneration TI - State of the field: An informatics-based systematic review of the SOD1-G93A amyotrophic lateral sclerosis transgenic mouse model VL - 17 ID - 169 ER - TY - JOUR AU - Sakaeda, Toshiyuki AU - Kadoyama, Kaori AU - Okuno, Yasushi DA - 2011 DP - Google Scholar IS - 12 PY - 2011 SP - e28124 ST - Statin-associated muscular and renal adverse events T2 - PloS one TI - Statin-associated muscular and renal adverse events: data mining of the public version of the FDA adverse event reporting system UR - http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0028124 VL - 6 Y2 - 2016/09/24/16:06:07 ID - 2420 ER - TY - JOUR AB - BACKGROUND: Ontologies encode relationships within a domain in robust data structures that can be used to annotate data objects, including scientific papers, in ways that ease tasks such as search and meta-analysis. However, the annotation process requires significant time and effort when performed by humans. Text mining algorithms can facilitate this process, but they render an analysis mainly based upon keyword, synonym and semantic matching. They do not leverage information embedded in an ontology's structure. METHODS: We present a probabilistic framework that facilitates the automatic annotation of literature by indirectly modeling the restrictions among the different classes in the ontology. Our research focuses on annotating human functional neuroimaging literature within the Cognitive Paradigm Ontology (CogPO). We use an approach that combines the stochastic simplicity of naive Bayes with the formal transparency of decision trees. Our data structure is easily modifiable to reflect changing domain knowledge. RESULTS: We compare our results across naive Bayes, Bayesian Decision Trees, and Constrained Decision Tree classifiers that keep a human expert in the loop, in terms of the quality measure of the F1-mirco score. CONCLUSIONS: Unlike traditional text mining algorithms, our framework can model the knowledge encoded by the dependencies in an ontology, albeit indirectly. We successfully exploit the fact that CogPO has explicitly stated restrictions, and implicit dependencies in the form of patterns in the expert curated annotations. AU - Chakrabarti, Chayan AU - Jones, Thomas B. AU - Luger, George F. AU - Xu, Jiawei F. AU - Turner, Matthew D. AU - Laird, Angela R. AU - Turner, Jessica A. DA - 2014 DO - 10.1186/2041-1480-5-S1-S2 IS - Suppl 1 Proceedings of the Bio-Ontologies Spec Interest G J2 - J Biomed Semantics L1 - internal-pdf://3033283279/Chakrabarti-2014-Statistical algorithms for on.pdf LA - eng PY - 2014 SN - 2041-1480 SP - S2 ST - Statistical algorithms for ontology-based annotation of scientific literature T2 - Journal of biomedical semantics TI - Statistical algorithms for ontology-based annotation of scientific literature UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4108869/pdf/2041-1480-5-S1-S2.pdf VL - 5 ID - 238 ER - TY - CONF AB - Model Driven Engineering (MDE) is essentially based in metamodel definition, model edition and the specification of model transformations (MT) among these. In many cases the development, evolution and adaptation of these transformations is still carried out without the support of proper methods and tools to reduce the effort and related costs to these activities. In this work, a novel model testing approach specifically designed to assist the engineer in model transformation evolution is presented. A statistical analysis of the actual behavior of the transformations is performed by means of the computation of well-known information extraction metrics. In order to assist the MT adaptation, a detailed interpretation of the possible results of those metrics is also presented. And finally, the results of applying this approach on a Model-Driven Reverse Engineering (MDRE) scenario defined in the context of the MIGRARIA project are discussed. 2015 IEEE. AU - Rodriguez-Echeverria, Roberto AU - Macias, Fernando C3 - 18th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2015, September 30, 2015 - October 2, 2015 DA - 2015 DO - 10.1109/MODELS.2015.7338253 KW - Computational linguistics Reverse engineering Statistical methods N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 226-235 ST - A statistical analysis approach to assist model transformation evolution T3 - 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems, MODELS 2015 - Proceedings TI - A statistical analysis approach to assist model transformation evolution UR - http://dx.doi.org/10.1109/MODELS.2015.7338253 ID - 871 ER - TY - JOUR AB - We study and formulate arbitrage in display advertising. Real-Time Bidding (RTB) mimics stock spot exchanges and utilises computers to algorithmically buy display ads per impression via a real-time auction. Despite the new automation, the ad markets are still informationally inefficient due to the heavily fragmented marketplaces. Two display impressions with similar or identical effectiveness (e.g., measured by conversion or click-through rates for a targeted audience) may sell for quite different prices at different market segments or pricing schemes. In this paper, we propose a novel data mining paradigm called Statistical Arbitrage Mining (SAM) focusing on mining and exploiting price discrepancies between two pricing schemes. In essence, our SAMer is a meta-bidder that hedges advertisers' risk between CPA (cost per action)-based campaigns and CPM (cost per mille impressions)-based ad inventories; it statistically assesses the potential profit and cost for an incoming CPM bid request against a portfolio of CPA campaigns based on the estimated conversion rate, bid landscape and other statistics learned from historical data. In SAM, (i) functional optimisation is utilised to seek for optimal bidding to maximise the expected arbitrage net profit, and (ii) a portfolio-based risk management solution is leveraged to reallocate bid volume and budget across the set of campaigns to make a risk and return trade-off. We propose to jointly optimise both components in an EM fashion with high efficiency to help the meta-bidder successfully catch the transient statistical arbitrage opportunities in RTB. Both the offline experiments on a real-world large-scale dataset and online A/B tests on a commercial platform demonstrate the effectiveness of our proposed solution in exploiting arbitrage in various model settings and market environments. [doi:10.1145/2783258.2783269]. AU - Weinan, Zhang AU - Wang, J. DA - 2015/06/11/ J2 - arXiv KW - advertising data processing data mining Electronic commerce Investment pricing Risk management share prices statistical analysis tendering PY - 2015 SP - 10-pp. ST - Statistical arbitrage mining for display advertising [arXiv] T2 - arXiv TI - Statistical arbitrage mining for display advertising [arXiv] UR - http://arxiv.org/abs/1506.03837 ID - 1547 ER - TY - JOUR AB - Four methods are used to quantify diesel particulate matter (DPM) in the mine environment: respirable combustible dust sampling (RCD), size selective sampling with gravimetric analysis (SSG), respirable dust sampling with elemental carbon (EC) analysis, and respirable dust sampling with total carbon (TC) analysis. The authors assembled data from three underground mine studies to statistically compare these methods. The sampling protocol used in each study was similar. For all the four methods, samples were collected in triplicate at three locations-upwind and downwind of the diesel scoop and on the scoop. The methods were compared with respect to their precision, selectivity, sensitivity, and LOD, as well as their limitations in measuring DPM concentrations. This constitutes a meta-analysis of the available data and provides information over a broader range of mining conditions and DPM concentrations than any of the individual studies. The weighing imprecision for the SSG method is almost twice that for the RCD technique. The imprecision of the EC and TC methods are a function of the mass loading, and EC has a lower imprecision than TC. The EC method was used as the reference "gold standard" against which the other methods were evaluated. The RCD, SSG, and TC methods exhibited substantial levels of interference, leading to much higher minimum concentrations that can be measured by these methods. Of the three, the SSG method has the highest level of interference, primarily from nondiesel material that is collected in the <0.8 microm size range. AU - Ramachandran, Gurumurthy AU - Watts, Winthrop F., Jr. DA - 2003/06//May- undefined IS - 3 J2 - AIHA J (Fairfax, Va) KW - *Inhalation Exposure Air Pollutants, Occupational/*analysis Carbon/*analysis/standards Humans Linear Models mining Research Design/statistics & numerical data Vehicle Emissions/*analysis Workplace/statistics & numerical data LA - eng PY - 2003 SN - 1542-8117 1542-8117 SP - 329-337 ST - Statistical comparison of diesel particulate matter measurement methods T2 - AIHA journal : a journal for the science of occupational and environmental health and safety TI - Statistical comparison of diesel particulate matter measurement methods VL - 64 ID - 264 ER - TY - JOUR AU - Higgins, Julian AU - Thompson, Simon AU - Deeks, Jonathan AU - Altman, Douglas DA - 2002 DP - Google Scholar IS - 1 PY - 2002 SP - 51-61 ST - Statistical heterogeneity in systematic reviews of clinical trials T2 - Journal of health services research & policy TI - Statistical heterogeneity in systematic reviews of clinical trials: a critical appraisal of guidelines and practice UR - http://hsr.sagepub.com/content/7/1/51.short VL - 7 Y2 - 2016/09/24/15:35:34 ID - 2335 ER - TY - JOUR AB - The great increase in PET and fMRI imaging research has provided a large amount of data about the localization of motor, cognitive and affective processes in the human brain. However, there is an obvious discrepancy between the large number of studies available and the limited amount of knowledge that can be gained from each individual experiment. Quantitative coordinate-based meta-analyses have thus emerged as a principled way to integrate this large amount of findings. These approaches, in particular activation likelihood estimation (ALE) offer the opportunity to investigate convergent effects in large samples of healthy subjects and patients that could not be assessed in any individual study. It thus offers substantial advantages over the otherwise more subjective inferences about the relevance of individually observed effects. Ultimately, model-based analyses testing explicit hypotheses using quantitative meta-analysis approaches should offer an important step forward in the investigation of the physiological and pathological localization within the human brain. The development and application of neuroinformatics approaches to quantitative, data-driven meta-analysis may thus become an important aspect in the future strive to understand the healthy and diseased brain. AU - Eickhoff, S. B. AU - Bzdok, D. DA - 2013/09// DO - 10.1055/s-0033-1351295 IS - 3 PY - 2013 SN - 1434-0275 SP - 199-203 ST - Statistical Meta-Analyses in Imaging Neuroscience T2 - Klinische Neurophysiologie TI - Statistical Meta-Analyses in Imaging Neuroscience UR - https://www.thieme-connect.de/DOI/DOI?10.1055/s-0033-1351295 VL - 44 ID - 1891 ER - TY - CONF AB - This study addressed the literature gap, identified by other researchers, that there are too few examples of applied empirical open big data analytics. Using correspondence analysis as a big data analytical technique, this study demonstrates how qualitative big data type could be analyzed to identify hidden factor relationships that may assist strategic decision making. We use a 64MB open meta big dataset developed by summarizing terrorist activity as keyword frequencies collected from trillions of public news articles published during a 43 year period from 1970-2013 and readily available statistical software, SPSS, to visually summarize the findings on a global terrorism big dataset. The approach in this paper might facilitate the research and development of open big data, big data analytics against global terrorism. 2015 IEEE. AU - Vajjhala, Narasimha Rao AU - Strang, Kenneth David AU - Sun, Zhaohao C3 - 3rd International Conference on Future Internet of Things and Cloud, FiCloud 2015, August 24, 2015 - August 26, 2015 DA - 2015 DO - 10.1109/FiCloud.2015.15 KW - Big data data mining Data warehouses decision making Internet Internet of things Statistical methods Terrorism N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 489-496 ST - Statistical modeling and visualizing Open Big data using a terrorism case study T3 - Proceedings - 2015 International Conference on Future Internet of Things and Cloud, FiCloud 2015 and 2015 International Conference on Open and Big Data, OBD 2015 TI - Statistical modeling and visualizing Open Big data using a terrorism case study UR - http://dx.doi.org/10.1109/FiCloud.2015.15 ID - 901 ER - TY - JOUR AU - Broadhurst, David I. AU - Kell, Douglas B. DA - 2006 DP - Google Scholar IS - 4 L1 - https://www.researchgate.net/profile/David_Broadhurst/publication/226193946_Statistical_strategies_for_avoiding_false_discoveries_in_metabolomics_and_related_experiments/links/09e41509a08d6d1e97000000.pdf internal-pdf://3922957436/Broadhurst-2006-Statistical strategies for avo.pdf PY - 2006 SP - 171-196 ST - Statistical strategies for avoiding false discoveries in metabolomics and related experiments T2 - Metabolomics TI - Statistical strategies for avoiding false discoveries in metabolomics and related experiments UR - http://link.springer.com/article/10.1007/s11306-006-0037-z VL - 2 Y2 - 2016/09/24/16:04:32 ID - 2413 ER - TY - CONF AB - We propose a new computational approach for tracking and detecting statistically significant linguistic shifts in the meaning and usage of words. Such linguistic shifts are especially prevalent on the Internet, where the rapid exchange of ideas can quickly change a word's meaning. Our meta-Analysis approach constructs property time series of word usage, and then uses statistically sound change point detection algorithms to identify significant linguistic shifts. We consider and analyze three approaches of increasing complexity to generate such linguistic property time series, the culmination of which uses distributional characteristics inferred from word co-occurrences. Using recently proposed deep neural language models, we first train vector representations of words for each time period. Second, we warp the vector spaces into one unified coordinate system. Finally, we construct a distance-based distributional time series for each word to track its linguistic displacement over time. We demonstrate that our approach is scalable by tracking linguistic change across years of micro-blogging using Twitter, a decade of product reviews using a corpus of movie reviews from Amazon, and a century of written books using the Google Book Ngrams. Our analysis reveals interesting patterns of language usage change commensurate with each medium. AU - Kulkarni, Vivek AU - Al-Rfou, Rami AU - Perozzi, Bryan AU - Skiena, Steven C3 - 24th International Conference on World Wide Web, WWW 2015, May 18, 2015 - May 22, 2015 DA - 2015 DO - 10.1145/2736277.2741627 KW - Computational linguistics Internet Linguistics Reviews time series Time series analysis Vector spaces World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2015 SP - 625-635 ST - Statistically significant detection of linguistic change T3 - WWW 2015 - Proceedings of the 24th International Conference on World Wide Web TI - Statistically significant detection of linguistic change UR - http://dx.doi.org/10.1145/2736277.2741627 http://dl.acm.org/citation.cfm?doid=2736277.2741627 ID - 932 ER - TY - JOUR AU - Erhardt, Ramón A. A. AU - Schneider, Reinhard AU - Blaschke, Christian DA - 2006 DP - Google Scholar IS - 7 L1 - https://www.researchgate.net/profile/Reinhard_Schneider2/publication/7198566_Status_of_text-mining_techniques_applied_to_biomedical_text/links/09e4150b91c1f94db3000000.pdf internal-pdf://0242588954/Erhardt-2006-Status of text-mining techniques.pdf PY - 2006 SP - 315-325 ST - Status of text-mining techniques applied to biomedical text T2 - Drug discovery today TI - Status of text-mining techniques applied to biomedical text UR - http://www.sciencedirect.com/science/article/pii/S1359644606000122 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1359644606000122/1-s2.0-S1359644606000122-main.pdf?_tid=46d1dcda-8333-11e6-9e50-00000aacb35d&acdnat=1474816873_99eb20acce2bd5364219f66ece6cde12 VL - 11 Y2 - 2016/09/24/15:37:02 ID - 2356 ER - TY - CONF AB - In our increasingly competitive world, today companies are implementing improvement strategies in every department and, in particular, in their manufacturing systems. This paper discusses the use of a global method based on a knowledge-based approach for the development of a software tool for modelling and analysis of production flows. This method is based on data processing and data mining techniques and will help the acquisition of the metaknowledge needed for the searching of correlations among different events in the production line. Different kind of techniques will be used: graphic representation of the production, identification of specific behaviour and research of correlations among events on the production line. Most of these techniques are based on statistical and probabilistic analyses. To carry on high level analyses, a stochastic approach will be used to identify specific behaviour with the aim of defining, for example, action plans. AU - Zanni, Cecilia AU - Bouche, Philippe C3 - 20th European Modeling and Simulation Symposium, EMSS 2008, September 17, 2008 - September 19, 2008 DA - 2008 KW - Automobile manufacture Behavioral research Data processing Discrete event simulation Knowledge based systems Stochastic systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - DIPTEM University of Genoa PY - 2008 SP - 212-217 ST - A stochastic approach to improve performance of production lines T3 - 20th European Modeling and Simulation Symposium, EMSS 2008 TI - A stochastic approach to improve performance of production lines ID - 1509 ER - TY - CONF AU - Fung, G. Pui Cheong AU - Yu, J. Xu AU - Lam, Wai C3 - Computational Intelligence for Financial Engineering, 2003. Proceedings. 2003 IEEE International Conference on DA - 2003 DP - Google Scholar PB - IEEE PY - 2003 SP - 395-402 ST - Stock prediction TI - Stock prediction: Integrating text mining approach using real-time news UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1196287 http://ieeexplore.ieee.org/document/1196287/ Y2 - 2016/09/24/15:35:34 ID - 2337 ER - TY - JOUR AB - Background: SRS (Sequence Retrieval System) has proven to be a valuable platform for storing, linking, and querying biological databases. Due to the availability of a broad range of different scientific databases in SRS, it has become a useful platform to incorporate and mine microarray data to facilitate the analyses of biological questions and non-hypothesis driven quests. Here we report various solutions and tools for integrating and mining annotated expression data in SRS. Results: We devised an Auto-Upload Tool by which microarray data can be automatically imported into SRS. The dataset can be linked to other databases and user access can be set. The linkage comprehensiveness of microarray platforms to other platforms and biological databases was examined in a network of scientific databases. The stored microarray data can also be made accessible to external programs for further processing. For example, we built an interface to a program called Venn Mapper, which collects its microarray data from SRS, processes the data by creating Venn diagrams, and saves the data for interpretation. Conclusion: SRS is a useful database system to store, link and query various scientific datasets, including microarray data. The user-friendly Auto-Upload Tool makes SRS accessible to biologists for linking and mining user-owned databases. AU - Veldhoven, A. AU - de Lange, D. AU - Smid, M. AU - de Jager, V. AU - Kors, J. A. AU - Jenster, G. DA - 2005/07/27/ DO - 10.1186/1471-2105-6-192 PY - 2005 SN - 1471-2105 SP - 192 ST - Storing, linking, and mining microarray databases using SRS T2 - Bmc Bioinformatics TI - Storing, linking, and mining microarray databases using SRS VL - 6 ID - 2178 ER - TY - CONF AB - Stack Overflow is the de facto Question and Answer (QA) website for developers, and it has been used in many approaches by software engineering researchers to mine useful data. However, the contents of a Stack Overflow discussion are inherently heterogeneous, mixing natural language, source code, stack traces and configuration files in XML or JSON format. We constructed a full island grammar capable of modeling the set of 700,000 Stack Overflow discussions talking about Java, building a heterogeneous abstract syntax tree (H-AST) of each post (question, answer or comment) in a discussion. The resulting dataset models every Stack Overflow discussion, providing a full H-AST for each type of structured fragment (i.e., JSON, XML, Java, Stack traces), and complementing this information with a set of basic meta-information like term frequency to enable natural language analyses. Our dataset allows the end-user to perform combined analyses of the Stack Overflow by visiting the H-AST of a discussion. 2015 IEEE. AU - Ponzanelli, Luca AU - Mocci, Andrea AU - Lanza, Michele C3 - 12th Working Conference on Mining Software Repositories, MSR 2015, May 16, 2015 - May 17, 2015 DA - 2015 DO - 10.1109/MSR.2015.67 KW - Computational linguistics Java programming language software engineering Syntactics Trees (mathematics) XML N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2015 SN - 21601852 SP - 474-477 ST - StORMeD: Stack overflow ready made data T3 - IEEE International Working Conference on Mining Software Repositories TI - StORMeD: Stack overflow ready made data UR - http://dx.doi.org/10.1109/MSR.2015.67 VL - 2015-August ID - 1007 ER - TY - CONF AB - Press releases may contain a lot of information that is especially applicable in strategic innovation management: They contain up-to-date information by definition and thus may give hints to upcoming trends and techniques. They also tell a lot about the strategies of partners, customers, and, most of all, competitors. We analysed many of today's existing press release search engines and identified a number of shortcomings: The query frontends do not provide enough flexibility with regards to search space restriction, the result lists presentation typically cannot be influenced by the user, and the ranking order stays often unclear. Press releases offer a number of features that make them useful for automatic handling but are widely ignored by today's search engines: They are relatively homogenously structured and contain certain kinds of easy-extractable meta-data that can be utilized for use cases such as monitoring trends (date of publishing), discovering geographical competency clusters (author and address information), or identifying relations between companies (firm name mentioning). We describe the prototype of a new press release search engine that makes use of the above-mentioned meta-data and additionally offers sophisticated search features tailored to the needs of innovation professionals. AU - Finzen, Jan AU - Kintz, Maximilien AU - Kett, Holger AU - Koch, Steffen C3 - 5th International Conference on Web Information Systems and Technologies, WEBIST 2009, March 23, 2009 - March 26, 2009 DA - 2009 KW - Competition Information services Information systems mining Online searching Presses (machine tools) Public relations Search Engines World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - ISA - Instrumentation Systems and Automation Society PY - 2009 SP - 347-353 ST - Strategic innovation management on the basis of searching and mining press releases T3 - WEBIST 2009 - Proceedings of the 5th International Conference on Web Information Systems and Technologies TI - Strategic innovation management on the basis of searching and mining press releases ID - 1010 ER - TY - JOUR AB - Strategic management scholars have long emphasized the importance of innovation for a firm's competitive advantage and performance. However, the current state of knowledge about the strategic management of innovation is characterized by conflicting theoretical predictions, persisting knowledge gaps and theoretical inconsistencies. Adopting a ‘systematic’ approach to reviewing the literature, this paper combines different quantitative methods – co-word analysis, cluster analysis and frequency analysis – to review 342 articles on the strategic management of innovation published in seven journals from 1992 to 2010. On the basis of these analyses, suggestions are developed for future research which could help to promote future theory development and provide relevant material for policy decisions that managers and executives have to make when they manage innovation. AU - Keupp, Marcus Matthias AU - Palmié, Maximilian AU - Gassmann, Oliver DA - 2012 DP - Google Scholar IS - 4 L1 - https://www.alexandria.unisg.ch/217966/1/Keupp%20et%20al.%202012%20IJMR.pdf PY - 2012 SP - 367-390 ST - The strategic management of innovation T2 - International Journal of Management Reviews TI - The strategic management of innovation: A systematic review and paths for future research UR - http://onlinelibrary.wiley.com/doi/10.1111/j.1468-2370.2011.00321.x/full VL - 14 Y2 - 2016/09/24/15:39:07 ID - 2370 ER - TY - JOUR AB - Meta-analysis of microarray data is increasingly important, considering both the availability of multiple platforms using disparate technologies and the accumulation in public repositories of data sets from different laboratories. We addressed the issue of comparing gene expression profiles from two microarray platforms by devising a standardized investigative strategy. We tested this procedure by studying MDA-MB-231 cells, which undergo apoptosis on treatment with resveratrol. Gene expression profiles were obtained using high-density, short-oligonucleotide, single-color microarray platforms: GeneChip (Affymetrix) and CodeLink (Amersham). Interplatform analyses were carried out on 8414 common transcripts represented on both platforms, as identified by LocusLink ID, representing 70.8% and 88.6% of annotated GeneChip and CodeLink features, respectively. We identified 105 differentially expressed genes (DEGs) on CodeLink and 42 DEGs on GeneChip. Among them, only 9 DEGs were commonly identified by both platforms. Multiple analyses (BLAST alignment of probes with target sequences, gene ontology, literature mining, and quantitative real-time PCR) permitted us to investigate the factors contributing to the generation of platform-dependent results in single-color microarray experiments. An effective approach to cross-platform comparison involves microarrays of similar technologies, samples prepared by identical methods, and a standardized battery of bioinformatic and statistical analyses. AU - Severgnini, Marco AU - Bicciato, Silvio AU - Mangano, Eleonora AU - Scarlatti, Francesca AU - Mezzelani, Alessandra AU - Mattioli, Michela AU - Ghidoni, Riccardo AU - Peano, Clelia AU - Bonnal, Raoul AU - Viti, Federica AU - Milanesi, Luciano AU - De Bellis, Gianluca AU - Battaglia, Cristina DA - 2006/06/01/ DO - 10.1016/j.ab.2006.03.023 IS - 1 J2 - Anal Biochem KW - *Meta-Analysis as Topic Breast Neoplasms/genetics Case-Control Studies Computational Biology/methods DNA, Complementary/analysis Female Gene Expression Profiling/*methods Gene Expression Regulation/drug effects Humans Oligonucleotide Array Sequence Analysis/standards/*statistics & numerical data Polymerase Chain Reaction/methods Reproducibility of results Sensitivity and specificity Stilbenes/pharmacology LA - eng PY - 2006 SN - 0003-2697 0003-2697 SP - 43-56 ST - Strategies for comparing gene expression profiles from different microarray platforms: application to a case-control experiment T2 - Analytical biochemistry TI - Strategies for comparing gene expression profiles from different microarray platforms: application to a case-control experiment VL - 353 ID - 117 ER - TY - JOUR AB - BACKGROUND: Authors of systematic reviews have difficulty obtaining unpublished data for their reviews. This project aimed to provide an in-depth description of the experiences of authors in searching for and gaining access to unpublished data for their systematic reviews, and to give guidance on best practices for identifying, obtaining and using unpublished data. METHODS: This is a qualitative study analyzing in-depth interviews with authors of systematic reviews who have published Cochrane reviews or published systematic reviews outside of The Cochrane Library. We included participants who 1) were the first or senior author of a published systematic review of a drug intervention, 2) had expertise in conducting systematic reviews, searching for data, and assessing methodological biases, and 3) were able to participate in an interview in English. We used non-random sampling techniques to identify potential participants. Eighteen Cochrane authors were contacted and 16 agreed to be interviewed (89% response rate). Twenty-four non-Cochrane authors were contacted and 16 were interviewed (67% response rate). RESULTS: Respondents had different understandings of what was meant by unpublished data, including specific outcomes and methodological details. Contacting study authors was the most common method used to obtain unpublished data and the value of regulatory agencies as a data source was underappreciated. Using the data obtained was time consuming and labor intensive. Respondents described the collaboration with other colleagues and/or students required to organize, manage and use the data in their reviews, generally developing and using templates, spreadsheets and computer programs for data extraction and analysis. Respondents had a shared belief that data should be accessible but some had concerns about sharing their own data. Respondents believed that obtaining unpublished data for reviews has important public health implications. There was widespread support for government intervention to ensure open access to trial data. CONCLUSIONS: Respondents uniformly agreed that the benefit of identifying unpublished data was worth the effort and was necessary to identify the true harms and benefits of drugs. Recent actions by government, such as increased availability of trial data from the European Medicines Agency, may make it easier to acquire critical drug trial data. AU - Wolfe, Nicole AU - Gotzsche, Peter C. AU - Bero, Lisa DA - 2013 DO - 10.1186/2046-4053-2-31 J2 - Syst Rev KW - *Access to Information *Attitude *Information Dissemination *Pharmaceutical Preparations *Publishing *Review Literature as Topic Comprehension Cooperative Behavior Data Collection data mining Humans Interviews as Topic qualitative research LA - eng PY - 2013 SN - 2046-4053 2046-4053 SP - 31 ST - Strategies for obtaining unpublished drug trial data: a qualitative interview study T2 - Systematic reviews TI - Strategies for obtaining unpublished drug trial data: a qualitative interview study VL - 2 ID - 116 ER - TY - CHAP AB - This contribution describes the evolution of the main CERN storage system, CASTOR, as it manages the bulk data stream of the LHC and other CERN experiments, achieving over 90 PB of stored data by the end of LHC Run 1. This evolution was marked by the introduction of policies to optimize the tape sub-system throughput, going towards a cold storage system where data placement is managed by the experiments' production managers. More efficient tape migrations and recalls have been implemented and deployed where bulk meta-data operations greatly reduce the overhead due to small files. A repack facility is now integrated in the system and it has been enhanced in order to automate the repacking of several tens of petabytes, required in 2014 in order to prepare for the next LHC run. Finally the scheduling system has been evolved to integrate the internal monitoring. To efficiently manage the service a solid monitoring infrastructure is required, able to analyze the logs produced by the different components (about 1 kHz of log messages). A new system has been developed and deployed, which uses a transport messaging layer provided by the CERN-IT Agile Infrastructure and exploits technologies including Hadoop and HBase. This enables efficient data mining by making use of MapReduce techniques, and real-time data aggregation and visualization. The outlook for the future is also presented. Directions and possible evolution will be discussed in view of the restart of data taking activities. AU - Lo Presti, G. AU - Curull, X. Espinal AU - Cano, E. AU - Fiorini, B. AU - Ieri, A. AU - Murray, S. AU - Ponce, S. AU - Sindrilaru, E. PY - 2014 SP - 042031 ST - Streamlining CASTOR to manage the LHC data torrent T2 - 20th International Conference on Computing in High Energy and Nuclear Physics (chep2013), Parts 1-6 TI - Streamlining CASTOR to manage the LHC data torrent VL - 513 ID - 2177 ER - TY - JOUR AB - BACKGROUND: Major gender differences exist in cardiovascular diseases and lead to different outcomes in women and men. However, attention and incorporation of sex-/gender-specific research might vary among disciplines. We therefore conducted a systematic review comparing publication characteristics and trends between stroke and myocardial infarction (MI) with respect to sex- and gender-related aspects. METHODS: A systematic literature search was performed in PubMed to identify gender-/sex-related articles published for stroke and MI between 1977 and 2008. A specifically designed text mining program was used, and all literature was rated by two independent investigators. Publications were classified according to type of research performed, publication year, funding, geographical location, and gender of first and last authors. RESULTS: 962 articles were retrieved and limited to 405 (42%) gender-relevant publications; 131 on stroke and 274 on MI. Type of performed research differed, especially in disease management, which received little attention (17%) in stroke, while representing the major focus in MI (40%). In both areas, clinical presentation received little attention (3 and 5%). Although publications progressively increased in both fields, an 8- to 10-year time gap emerged for stroke compared to MI. Last authors in both areas were predominantly men, but female last authorship is increasing more significantly over time in the field of stroke. Research on sex and gender differences in MI and stroke is largely underfunded, particularly by the EU. CONCLUSIONS: The data demonstrate how sex-/gender-specific research differs between specialties, most likely due to the diverse interest, funding opportunities and authorship distributions identified. AU - Oertelt-Prigione, Sabine AU - Wiedmann, Silke AU - Endres, Matthias AU - Nolte, Christian H. AU - Regitz-Zagrosek, Vera AU - Heuschmann, Peter DA - 2011 DO - 10.1159/000323258 IS - 4 J2 - Cerebrovasc Dis KW - *Authorship *Bibliometrics *Myocardial Infarction/economics *Stroke/economics Biomedical Research/*trends data mining Female Healthcare Disparities/trends Health Status Disparities Humans Male Periodicals as Topic/*trends Research Support as Topic/economics/*trends Sex Factors Time Factors L1 - internal-pdf://2426206509/fde6cf90600edc159f509fef5a521c3a.pdf LA - eng PY - 2011 SN - 1421-9786 1015-9770 SP - 373-381 ST - Stroke and myocardial infarction: a comparative systematic evaluation of gender-specific analysis, funding and authorship patterns in cardiovascular research T2 - Cerebrovascular diseases (Basel, Switzerland) TI - Stroke and myocardial infarction: a comparative systematic evaluation of gender-specific analysis, funding and authorship patterns in cardiovascular research VL - 31 ID - 309 ER - TY - JOUR AB - In this manuscript we use a two-tier approach of combining stochastic search strategies and DFT calculations to arrive at extremely good quality structures for neutral (CO2)n clusters with n = 2-13. The idea of using stochastic search strategy initially is to find out extreme quickly, that is with low computational cost, more than one reasonably good structures by exploring an empirical potential energy surface for CO2 clusters. These pre-optimized structures [using genetic algorithm (GA) as stochastic optimizer] if used as inputs for subsequent DFT calculations using dispersion-corrected B97XD and meta hybrid M06-2X functionals give global minimum structures for these systems. This two-step strategy in our opinion is a more potent route to obtain the global minimum structures with certainty rather than a dedicated quantum chemical calculation carried from the outset. We further analyse in detail the structural, vibrational spectra and interaction energies of the clusters studied. We compare our results with experimental and theoretical results available in literature. The correspondence with experimental results is nearly 99 %, that is the results show marginal deviation from reported experimental vibrational frequencies and hence we conclude that GA in conjunction with dispersion-corrected DFT is a viable method for the study of clusters where the interaction is non-covalent in nature. Since B2PLYP-D is also an efficient functional in the study of these systems, we also report interaction energies of the cluster systems examined using this functional. AU - Neogi, S. G. AU - Talukder, S. AU - Chaudhury, P. DA - 2014/06// DO - 10.1007/s11224-013-0360-8 IS - 3 J2 - Structural Chemistry KW - bonds (chemical) carbon compounds data mining density functional theory disperse systems Genetic algorithms molecular clusters molecular configurations physics computing potential energy surfaces stochastic processes vibrational states PY - 2014 SN - 1040-0400 SP - 909-18 ST - Structural and spectroscopic studies of carbon dioxide clusters: a combined genetic algorithm and DFT based study T2 - Structural Chemistry TI - Structural and spectroscopic studies of carbon dioxide clusters: a combined genetic algorithm and DFT based study UR - http://dx.doi.org/10.1007/s11224-013-0360-8 VL - 25 ID - 900 ER - TY - JOUR AB - Chemical analyses suggest that the metavolcanic rocks of the Almas Greenstone Belt (AGB), Tocantins State, Brazil have a continental affinity, possibly related to a continental rift environment. They were metamorphosed to amphibolite facies during a regional tectono-metamorphic event (Dn), retrogressed to greenschist facies assemblages and then hydrothermally altered within dextral strike-slip shear zones (Dn+1). Fracture sets related to Dn+2 intersect Sn+1. The Paiol Gold Mine is one of several mineralised zones within metabasic and meta-intermediate rocks of the AGB. It exploits shoots of sulphide-Au-quartz mineralisation that occupy dilational zones approximately perpendicular to an elongation lineation (Ln+1) within mylonitic foliation Sn+1 (Sn+1=S within the S-C fabric). The dilational zones probably formed due to dextral displacement on sinistrally en echelon C surfaces. Minor amounts of gold may have been introduced or remobilised during Dn+2.Coexisting primary and pseudosecondary fluid inclusions in mineralised quartz veins from ore shoots comprise a high-salinity three-phase type (Type II) and a lower salinity two-phase type (Type I). Homogenisation temperatures for Type II inclusions range from 200 to 410 C and Type I from 90 to 320 C. The inclusions and their temperature ranges are believed to reflect heat exchange and some mixing between the two fluid types under relatively constant ambient temperatures, but variable (though broadly declining) fluid temperatures. This took place late in Dn+1 in conjunction with greenschist facies retrogression and localised hydrothermally induced metasomatism. 2003 Elsevier B.V. All rights reserved. AU - Ferrari, Marcio Anselmo Duarte AU - Choudhuri, Asit DA - 2004 DO - 10.1016/j.oregeorev.2003.05.001 IS - 3-4 J2 - Ore Geology Reviews KW - Chemical analysis Fracture Gold ore treatment Inclusions Mineralogy Thermal effects Volcanic rocks L1 - internal-pdf://2977053685/Ferrari-2004-Structural controls on gold miner.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2004 SN - 01691368 SP - 173-197 ST - Structural controls on gold mineralisation and the nature of related fluids of the Paiol gold deposit, Almas Greenstone Belt, Brazil T2 - Ore Geology Reviews TI - Structural controls on gold mineralisation and the nature of related fluids of the Paiol gold deposit, Almas Greenstone Belt, Brazil UR - http://dx.doi.org/10.1016/j.oregeorev.2003.05.001 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0169136803000532/1-s2.0-S0169136803000532-main.pdf?_tid=ca322170-8333-11e6-a5fc-00000aab0f01&acdnat=1474817094_4d6fbba9456dfb53957d197cb35dc32a VL - 24 ID - 853 ER - TY - JOUR AB - Investigations on hippocampal and amygdalar volume have revealed inconsistent results in patients with posttraumatic stress disorder (PTSD). Little is known about the structural covariance alterations between the hippocampus and amygdala in PTSD. In this study, we evaluated the alteration in the hippocampal and amygdalar volume and their structural covariance in the coal mine gas explosion related PTSD. High resolution T1-weighted magnetic resonance imaging (MRI) was performed on coal mine gas explosion related PTSD male patients (n = 14) and non-traumatized coalminers without PTSD (n = 25). The voxel-based morphometry (VBM) method was used to test the inter-group differences in hippocampal and amygdalar volume as well as the inter-group differences in structural covariance between the ipsilateral hippocampus and amygdala. PTSD patients exhibited decreased gray matter volume (GMV) in the bilateral hippocampi compared to controls (p<0.05, FDR corrected). GMV covariances between the ipsilateral hippocampus and amygdala were significantly reduced in PTSD patients compared with controls (p<0.05, FDR corrected). The coalminers with gas explosion related PTSD had decreased hippocampal volume and structural covariance with the ipsilateral amygdala, suggesting that the structural impairment of the hippocampus may implicate in the pathophysiology of PTSD. AU - Zhang, Quan AU - Zhuo, Chuanjun AU - Lang, Xu AU - Li, Huabing AU - Qin, Wen AU - Yu, Chunshui DA - 2014/07/07/ DO - 10.1371/journal.pone.0102042 IS - 7 PY - 2014 SN - 1932-6203 SP - e102042 ST - Structural Impairments of Hippocampus in Coal Mine Gas Explosion-Related Posttraumatic Stress Disorder T2 - Plos One TI - Structural Impairments of Hippocampus in Coal Mine Gas Explosion-Related Posttraumatic Stress Disorder VL - 9 ID - 2190 ER - TY - THES AB - The Hoyle Pond mine is located 15 km northeast of the city of Timmins, Ontario, in the Porcupine Gold Camp. It is hosted in deformed mafic to ultramafic volcanic rocks of the Tisdale assemblage. Geochemical data and structural analyses show interesting relations between host rock control and mineralization. The Au-bearing quartz-carbonate veins of the Hoyle Pond mine are hosted in a south-facing homoclinal sequence of stacked meta-volcanic rocks that are concordant with the Hershey Lake and Central formations of the Tisdale assemblage. The rocks were subjected to numerous sub-greenschist metamorphic events; however, detailed mapping shows that the hydrothermal mineralization took place during D3 and D4 events, and was associated with isoclinal folding, shearing, and thrusting. The alteration associated with the gold mineralization consists of a sericite alteration, which is immediately enveloped by an albite alteration zone. The inner alteration zone is composed of sericite, Cr-mica "fuchsite", quartz, Fe-dolomite, arsenopyrite, pyrite, tourmaline and graphite, and has a concomitant enrichment in K2O, Cr, SiO2, CO2, As, and S. The albite alteration zone is composed of albite, quartz and Fe-dolomite, and has an enrichment in Na2O, CO2 and SiO2. In addition, carbon enrichment is also associated with mineralization. A pervasive graphite alteration envelopes the mineralization, and is the result of the oxidation of organic matter associated with Au mineralization. Rare Earth elements, Al2O3, Zr, TiO2 and Y were relatively immobile with respect to alteration and can be used to identify rock type. However, K2O, Na2O, Cr2O 3, Rb, CO2, CaO, Eu, FeO, MgO and to a lesser extent La (LREE), were mobile during alteration. Fluid mixing occurred between oxidizing fluids with soluble Cr 6+ and other elements (e.g. K and Na), and reducing fluids carrying gold as a thiol-organic complex (Au-HSCxHx), and other species, (e.g. B and As). The most plausible source of Au, As and B were the meta-sedimentary rocks of the surrounding Porcupine assemblage, whereas the Cr was likely derived from the ultramafic and mafic volcanic rocks. Two generations of fault-fill veins are present at Hoyle Pond: those hosted in D3 structures at lithological contacts, and those associated with D4 structures and located at flow contacts and also on both limbs of isoclinal folds. Due to the intensity of alteration and deformation of the Tisdale assemblage rocks at Hoyle Pond, it remains an open question as to whether the permeability for the mineralization at flow contacts was primary in nature, the result of mechanical contrasts during deformation, or both. The V10b or "chickenfeed" unit of the Tisdale Assemblage hosted significant gold mineralization, and was formerly thought to be composed of pillow basalt. Detailed mapping and geochemical work demonstrate that it is a pillow-lobe dacite of the tholeiitic suite associated with abundant hyaloclastite. The unit had a high intrinsic permeability, competency and Fe/Mg ratio malting it an ideal host for gold. At a regional scale there are two types of Au deposits associated with tholeiitic volcanic rocks: Those hosted in mafic rocks in which C may be important in precipitating gold from hydrothermal solution, and those hosted in more felsic rocks wherein the high Fe/Mg stabilizes the formation of Au scavenging pyrite. ProQuest Subject Headings: Geology, Geochemistry. Citation reproduced with permission of ProQuest LLC. AU - Dinel, Etienne DA - 2007 KW - Carbon Carbon dioxide Chromium compounds deformation Exploratory geochemistry Geochemistry Geology Gold Gold compounds Gold deposits Graphite Iron compounds Lakes Lithology Mapping Mechanical permeability Metamorphic rocks Mica Mineralogy Pyrites Quartz Rocks Sedimentary rocks Silica Silicate minerals Structural geology Volcanic rocks Volcanoes N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - ProQuest LLC PY - 2007 ST - Structural, geochemical and host rock control on gold mineralization in tholeiitic volcanic rock of the Tisdale assemblage, Timmins, Ontario; the Hoyle Pond mine and the Vipond V10b unit TI - Structural, geochemical and host rock control on gold mineralization in tholeiitic volcanic rock of the Tisdale assemblage, Timmins, Ontario; the Hoyle Pond mine and the Vipond V10b unit ID - 655 ER - TY - CONF AB - The introduction of a survey course based on guest lecturers by employing some meta-academic strategies to promote student learning is discussed. The course has been designed to show how different domains manage information and how that management has been affected by technology. The major objective is to acquaint students with information's role in all the sampled domains. To help meet it, they are given primary responsibility for a particular domain, by being assigned ownership of the weekly meeting at which domain is highlighted. They are also responsible for guiding their classmates through that topic. AU - Goelman, Don C3 - ITiCSE 2003 - Proceedings of the 8th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, June 30, 2003 - July 2, 2003 DA - 2003 KW - Curricula data mining Human computer interaction INFORMATION science Job analysis Learning systems Students Surveying teaching Technical presentations N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2003 SP - 270 ST - Student empowerment in a survey course T3 - ITiCSE 2003 - Proceedings of the 8th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education TI - Student empowerment in a survey course ID - 1178 ER - TY - CONF AB - Many ontology mapping systems nowadays exist. In order to evaluate their strengths and weaknesses, benchmark datasets (ontology collections) have been created, several of which have been used in the most recent edition of the Ontology Alignment Evaluation Initiative (OAEI), While most OAEI tracks rely on straightforward comparison of the results achieved by the mapping systems with some kind of reference mapping created a priori, the 'conference' track (based on the OntoFarm collection of heterogeneous 'conference organisation' ontologies) instead encompassed multiway manual as well as automated analysis of mapping results themselves, with 'correct' and 'incorrect' cases determined a posteriori. The manual analysis consisted in simple labelling of discovered mappings plus discussion of selected cases ('casuistics') within a face-to-face consensus building workshop. The automated analysis relied on two different tools: the DRAGO system for testing the consistency of aligned ontologies and the LISp-Miner system for discovering frequent associations in mapping meta-data including the phenomenon of graph-based mapping patterns. The results potentially provide specific feedback to the developers and users of mining tools, and generally indicate that automated mapping can rarely be successful without considering the larger context and possibly deeper semantics of the entities involved. Springer-Verlag Berlin Heidelberg 2007. AU - vab, Ondrej AU - Svatek, Vojtech AU - Stuckenschmidt, Heiner C3 - 4th European Semantic Web Conference, ESWC 2007, June 3, 2007 - June 7, 2007 DA - 2007 KW - Automata theory Graph theory ontology Semantic Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2007 SN - 03029743 SP - 655-669 ST - A study in empirical and 'casuistic' analysis of ontology mapping results T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - A study in empirical and 'casuistic' analysis of ontology mapping results VL - 4519 LNCS ID - 934 ER - TY - CONF AB - This paper presents a study on mixed similarity measures (MSM) that allows us to do classification and clustering in many situations without discretization. For supervised classification we do experimental comparative studies of classifiers built by the decision tree induction system C4.5 and the k-nearest neighbor rule using MSM. For unsupervised clustering we first introduce an extension of the k-means algorithm for mixed numeric and symbolic data, then evaluate clusters obtained by this algorithm with natural classes. Experimental studies allow us to draw conclusions (meta-knowledge) that are significant in practice about the mutual use of discretization techniques and MSM. AU - Tu Bao, Ho AU - Ngoc Binh, Nguyen AU - Morita, T. C3 - Proceedings of PAKDD-99, Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, 26-28 April 1999 DA - 1999 KW - database theory data mining decision trees learning by example pattern classification pattern clustering statistical analysis unsupervised learning very large databases PB - Springer-Verlag PY - 1999 SP - 375-9 ST - Study of a mixed similarity measure for classification and clustering T3 - Methodologies for Knowledge Discovery and Data Mining. Third Pacific-Asia Conference, PAKDD-99. Proceedings TI - Study of a mixed similarity measure for classification and clustering ID - 1131 ER - TY - JOUR AB - Hypertext poses new research challenges for text classification. Hyperlinks, HTML tags, category labels distributed over linked documents, and meta data extracted from related Web sites all provide rich information for classifying hypertext documents. How to appropriately represent that information and automatically team statistical patterns for solving hypertext classification problems is an open question. The paper seeks a principled approach to providing the answers. Specifically, we define five hypertext regularities which may (or may not) hold in a particular application domain. and whose presence (or absence) may significantly influence the optimal design of a classifier. Using three hypertext datasets and three well-known learning algorithms (Naive Bayes, Nearest Neighbor, and First Order Inductive Learner), we examine these regularities in different domains, and compare alternative ways to exploit them. Our results show that the identification of hypertext regularities in the data and the selection of appropriate representations for hypertext in particular domains are crucial, but seldom obvious, in real-world problems. AU - Yiming, Yang AU - Slattery, S. AU - Ghani, R. DA - 2002/03// DO - 10.1023/A:1013685612819 IS - 2-3 J2 - Journal of Intelligent Information Systems: Integrating Artificial Intelligence and Database Technologies KW - Bayes methods data mining hypermedia Information Resources learning (artificial intelligence) pattern classification text analysis PY - 2002 SN - 0925-9902 SP - 219-41 ST - A study of approaches to hypertext categorization T2 - Journal of Intelligent Information Systems: Integrating Artificial Intelligence and Database Technologies TI - A study of approaches to hypertext categorization UR - http://dx.doi.org/10.1023/A:1013685612819 VL - 18 ID - 1127 ER - TY - JOUR AB - There are a lot of kinds data which including any area during our life in the age of information technology. However these data are not all useful information, which needed to do the data collection, data management, data mining work and some others to make them valuable. At the same time the advent of increasingly sophisticated technologies have kindled a need in the database community and others to aggregate existing systems and mine these huge data. So that it is important to make the process as data definition, data aggregation, data mining and so on step by step. This process can be supported by metadata repository tools that track and control the configurations that form each of the increments and the changes to components from one increment to the next. As our research of the time series data which has character obviously, it merits to be seemed as the analysis example in our data mining area. AU - Jun, Wu AU - Luo, Zhong AU - Jiang, Zhu AU - Alyahya, K. DA - 2013/04// DO - 10.4156/jcit.vol8.issue8.117 IS - 8 J2 - Journal of Convergence Information Technology KW - data mining meta data time series PY - 2013 SN - 1975-9320 SP - 979-87 ST - Study of Data Aggregation and Prediction Model T2 - Journal of Convergence Information Technology TI - Study of Data Aggregation and Prediction Model UR - http://dx.doi.org/10.4156/jcit.vol8.issue8.117 VL - 8 ID - 1370 ER - TY - JOUR AB - Radial Basis Function Networks (RBFNs) have shown their capability to be used in classification problems, and therefore many data mining algorithms have been developed to configure RBFNs. These algorithms need to be given a suitable set of parameters for every problem they face, thus methods to automatically search the values of these parameters are required. This paper shows the robustness of a meta-algorithm developed to automatically establish the parameters needed to design RBFNs. Results show that this new method can be effectively used, not only to obtain good models, but also to find a stable set of parameters, available to be used on many different problems. ICS AS CR 2009. AU - Parras-Gutierrez, Elisabet AU - Jose Del Jesus, M. AU - Rivas, Victor M. AU - Merelo, Juan J. DA - 2009 IS - 1 J2 - Neural Network World KW - Attitude control data mining Evolutionary algorithms Information Management Metal analysis Neural networks Parameter estimation Radial basis function networks N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 12100552 SP - 81-94 ST - Study of the robustness of a meta-algorithm for the estimation of parameters in radial basis function neural networks design T2 - Neural Network World TI - Study of the robustness of a meta-algorithm for the estimation of parameters in radial basis function neural networks design VL - 19 ID - 1602 ER - TY - CONF AB - This paper focuses on the techniques of developing a practical flood-control consultation system (FCCS). Firstly, we give a detail analysis of FCCS demand and the current progress of integration management in the field of FCCS. Secondly, we discussed the related key techniques, such as Web, metadata, Java and Web GIS etc.. Based on the above steps, we finally design a template of web-based Heilongjiang provincial FCCS integration management system. In this system, the information oriented to the hotspots of flood control decision-making is effectively managed. In terms of consultation management platform, the visual thematic information can be sent to the consultation screens more rapidly to support the flood control decision-making. The application for Heilongjiang provincial FCCS shows that this system can provide an efficiency service to flood control decision makers. It can also be referenced by other provincial or basin wide FCCS. AU - Guo, Xiaoliang AU - He, Bin AU - Wang, Guoli C3 - 2009 International Conference on Web Information Systems and Mining (WISM 2009), 7-8 Nov. 2009 DA - 2009 DO - 10.1109/WISM.2009.76 KW - decision making floods Geographic information systems Java meta data Web services PB - IEEE PY - 2009 SP - 336-41 ST - Study on integration management of web-service based flood control consultation system T3 - Proceedings of the 2009 International Conference on Web Information Systems and Mining (WISM 2009) TI - Study on integration management of web-service based flood control consultation system UR - http://dx.doi.org/10.1109/WISM.2009.76 ID - 762 ER - TY - CONF AB - Based on the definition of bit granular matrix, a matrix-based knowledge discovery algorithm is proposed and it can attribute reduction and attribute value reduction simplifies the mathematical operations directly, In the operation process, Reflect the extent of the knowledge understanding, provided a new research approach to study on knowledge representation, decomposition, synthesis, reduction, etc. AU - Li, XiaoPing C3 - 2010 International Conference on Future Information Technology and Management Engineering (FITME 2010), 9-10 Oct. 2010 DA - 2010 DO - 10.1109/FITME.2010.5656222 KW - data mining Matrix algebra rough set theory PB - IEEE PY - 2010 SP - 416-18 ST - Study on knowledge discovery algorithms based on the bit granular matrix T3 - 2010 International Conference on Future Information Technology and Management Engineering (FITME 2010) TI - Study on knowledge discovery algorithms based on the bit granular matrix UR - http://dx.doi.org/10.1109/FITME.2010.5656222 VL - vol.2 ID - 848 ER - TY - CONF AB - The time series exist widely in real life domains like finance, meteorology, medical service, transportation and so on; the extraction of valuable information from time series has been recognized in recent studies. This article gives the definition of Meta pattern similarity of time series, the necessity of measuring such similarity as well as the methods of how this similarity can be measured; Based on a complete analysis of these existing methods, in characterizing the Meta pattern similarity, we may consider adding individual preference into the measure of the distance. we carried out comparative studies with them and found several drawbacks of these methods. Then we proposed a distance weighting measurement of Meta pattern similarity. AU - Lin, Xun AU - Li, Zhishu AU - Zhou, Yong AU - Xue, Yuan C3 - 2010 International Forum on Information Technology and Applications (IFITA 2010), 16-18 July 2010 DA - 2010 DO - 10.1109/IFITA.2010.205 KW - data mining Pattern matching time series PB - IEEE Computer Society PY - 2010 SP - 121-4 ST - A Study on Meta Pattern Similarity of Time Series T3 - Proceedings 2010 International Forum on Information Technology and Applications (IFITA 2010) TI - A Study on Meta Pattern Similarity of Time Series UR - http://dx.doi.org/10.1109/IFITA.2010.205 VL - vol.1 ID - 1750 ER - TY - CONF AB - Based on the Meta analysis of the relationship between service quality and customer satisfaction, the paper gets the path model of service quality and proves that there is heterogeneity in the positive correlation between service quality and customer satisfaction. On the support of considerable literature, the paper points out the possible potential mediators that may influence their relationship, and then raises corresponding hypothesis. By using Meta analytical procedures in HLM, the paper proves the above hypothesis and draws a conclusion: the relationship between service quality and customer satisfaction is stronger when we use un-contacted questionnaires, survey in the utilitarian service and high power-distance culture than when we use contacted questionnaires, survey in the hedonic service and low power-distance culture. AU - Qi, Yin AU - Huarui, Cao AU - Fuxiang, Wei AU - Jing, Zhang C3 - 6th International Conference on Advanced Information Management and Service, IMS2010, with 2nd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA2010, November 30, 2010 - December 2, 2010 DA - 2010 KW - Customer satisfaction data mining Information Management Information technology Quality of service Sales Surveys N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 SP - 94-99 ST - Study on the relationship between service quality and customer satisfaction based on meta analysis T3 - Proc. - 6th Intl. Conference on Advanced Information Management and Service, IMS2010, with ICMIA2010 - 2nd International Conference on Data Mining and Intelligent Information Technology Applications TI - Study on the relationship between service quality and customer satisfaction based on meta analysis ID - 1805 ER - TY - CONF AB - Structured text is the important substance for Chinese processing, including words dividing, drawing of the key words etc. which differs greatly from English. Among industry applications, Chinese phrases, especially the issues of address processing and standardization, need large number of experts' experience, and the efficiency is very low. At the same time, this problem is the core problem based on address integration of customers' data. Being the most important application field, Expert system contains a huge supply of knowledge in the field of expertise. Based on the analysis of structured address data method, a standardized method of addresses based on expert system was proposed in this paper. The method can process address error fuzzily and process the confused Chinese addresses into complete standardized addresses that are suitable for exact match, it also can achieve self-learning ability by updating knowledge base. 2012 IEEE. AU - Gu, Bin AU - Jin, Yanfeng AU - Zhang, Chang C3 - 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012, October 30, 2012 - November 1, 2012 DA - 2012 DO - 10.1109/CCIS.2012.6664585 KW - cloud computing data mining Expert systems Industrial applications N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SP - 1254-1258 ST - Study on the standardized method of Chinese addresses based on expert system T3 - Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 TI - Study on the standardized method of Chinese addresses based on expert system UR - http://dx.doi.org/10.1109/CCIS.2012.6664585 VL - 3 ID - 989 ER - TY - JOUR AB - This article presented an experimental research on washability of microcrystal graphite using float-sink tests. Chemical and X-ray analyses showed that graphite, semi-graphite, meta-anthracite, and anthracite existed together in this microcrystal graphite sample; and the intergrowth relationship between microcrystal graphite and gangues was very complicated based on optical mineralogy research. The results of float-sink tests revealed that: for the -25 + 0.5 mm size fraction, about 68% (by weight) of microcrystal graphite was obtained at the density of 2.0 g/cm3, and the float product met the standard of commercial grade W65; for the -0.5 mm size fraction, 58% (by weight) of microcrystal graphite was floated at the density of 2.0 g/cm3, which met the standard of commercial grade W70. It can be concluded that microcrystal graphite may be upgraded by dense media separation (DMS) providing a float product using as the raw materials of casting or refractories. 2013 Published by Elsevier B.V. on behalf of China University of Mining Technology. AU - Li, Hongqiang AU - Feng, Qiming AU - Ou, Leming AU - Long, Sisi AU - Cui, Mengmeng AU - Weng, Xiaoqing DA - 2013 DO - 10.1016/j.ijmst.2013.10.012 IS - 6 J2 - International Journal of Mining Science and Technology KW - Anthracite Graphite Microcrystals minerals X ray analysis L1 - internal-pdf://1999038585/Li-2013-Study on washability of microcrystal g.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 20952686 SP - 855-861 ST - Study on washability of microcrystal graphite using float-sink tests T2 - International Journal of Mining Science and Technology TI - Study on washability of microcrystal graphite using float-sink tests UR - http://dx.doi.org/10.1016/j.ijmst.2013.10.012 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S209526861300181X/1-s2.0-S209526861300181X-main.pdf?_tid=5aa6ddd8-8341-11e6-a9e5-00000aab0f27&acdnat=1474822920_bdbb9bb94df85d58b112eeb2d622b788 VL - 23 ID - 978 ER - TY - CONF AB - As technologies for 3D acquisition become widely available, it is expected that 3D content will become increasingly popular. Nevertheless, to provide access and enable the creative use of 3D content, it is necessary to address challenges such as the availability of open repositories dedicated to 3D content and the automatic enrichment of 3D content with suitable metadata so that content does not get lost. To address these challenges, this paper presents research on developing technologies to support the organisation and discoverability of 3D content in the Cultural Heritage (CH) domain. The main contributions of the paper include an ontology for documenting 3D representations of architectural mouldings decorated with ornament. In addition, a shape analysis method to improve the information that is automatically extracted from a 3D shape is proposed. This method is tested on part of a collection of Regency ornament mouldings found in domestic interiors. This content provides a rich dataset on which to explore issues common to many CH artefacts, such as design styles, patterns and motifs. AU - Rodriguez Echavarria, K. AU - Song, R. C3 - 2015 Digital Heritage, 28 Sept.-2 Oct. 2015 DA - 2015/09// DO - 10.1109/DigitalHeritage.2015.7419452 KW - Architecture data acquisition History information retrieval meta data ontologies (artificial intelligence) pattern classification PB - IEEE PY - 2015 SP - 53-60 ST - Studying shape semantics of an architectural moulding collection: Classifying style based on shape analysis methods T3 - 2015 Digital Heritage TI - Studying shape semantics of an architectural moulding collection: Classifying style based on shape analysis methods UR - http://dx.doi.org/10.1109/DigitalHeritage.2015.7419452 VL - vol.2 ID - 1067 ER - TY - JOUR AB - We consider the problem of identifying a subgroup of patients who may have an enhanced treatment effect in a randomized clinical trial, and it is desirable that the subgroup be defined by a limited number of covariates. For this problem, the development of a standard, pre-determined strategy may help to avoid the well-known dangers of subgroup analysis. We present a method developed to find subgroups of enhanced treatment effect. This method, referred to as 'Virtual Twins', involves predicting response probabilities for treatment and control 'twins' for each subject. The difference in these probabilities is then used as the outcome in a classification or regression tree, which can potentially include any set of the covariates. We define a measure Q(A) to be the difference between the treatment effect in estimated subgroup A and the marginal treatment effect. We present several methods developed to obtain an estimate of Q(A), including estimation of Q(A) using estimated probabilities in the original data, using estimated probabilities in newly simulated data, two cross-validation-based approaches, and a bootstrap-based bias-corrected approach. Results of a simulation study indicate that the Virtual Twins method noticeably outperforms logistic regression with forward selection when a true subgroup of enhanced treatment effect exists. Generally, large sample sizes or strong enhanced treatment effects are needed for subgroup estimation. As an illustration, we apply the proposed methods to data from a randomized clinical trial. AU - Foster, Jared C. AU - Taylor, Jeremy M. G. AU - Ruberg, Stephen J. DA - 2011/10/30/ DO - 10.1002/sim.4322 IS - 24 J2 - Stat Med KW - Bias (Epidemiology) Biostatistics Computer Simulation Data Interpretation, Statistical data mining Humans Logistic Models Models, Statistical Randomized Controlled Trials as Topic/*statistics & numerical data Sample Size L1 - internal-pdf://1724916170/Foster-2011-Subgroup identification from rando.pdf LA - eng PY - 2011 SN - 1097-0258 0277-6715 SP - 2867-2880 ST - Subgroup identification from randomized clinical trial data T2 - Statistics in medicine TI - Subgroup identification from randomized clinical trial data UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3880775/pdf/nihms539119.pdf VL - 30 ID - 349 ER - TY - CONF AB - Todays technology makes it possible to easily access huge amounts of complex data. As a consequence, techniques are needed for accessing the semantics of such data and supporting the user in selecting relevant information. While meta-languages such as XML have been proposed, they are not suitable for complex data such as images, video, sounds or any other non-verbal channel of communication, because those data have very subjective semantics, i.e., whose interpretation varies over time and between subjects. Yet, providing access to subjective semantics is becoming critical with the significant increase in interactive systems such as web-based systems or socially interactive robots. In this work, we attempt to identify the requirements for providing access to the subjective semantics of complex data. In particular, we focus on how to support the analysis of those dimensions that give rise to multiple subjective interpretations of the data. We propose a data warehouse as a support for the mining process involved. A unique characteristic of the data warehouse lays in its ability to store multiple hierarchical descriptions of the multimedia data. Springer-Verlag Berlin Heidelberg 2003. AU - Bianchi-Berthouze, Nadia AU - Hayashi, Tomofumi C3 - International Workshop on Mining Complex Data: Multimedia Data Mining, MDM/KDD at KDD 2002 and International Workshop on Knowledge Discovery from Multimedia and Complex Data, KDMCD at PAKDD 2002, July 23, 2002 - July 23, 2002 DA - 2003 DO - 10.1007/978-3-540-39666-6_1 KW - data mining Data warehouses Semantics Semantic Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2003 SN - 03029743 SP - 1-17 ST - Subjective interpretation of complex data: Requirements for supporting kansei mining process T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Subjective interpretation of complex data: Requirements for supporting kansei mining process UR - http://dx.doi.org/10.1007/978-3-540-39666-6_1 VL - 2797 ID - 1565 ER - TY - JOUR AU - Bae, Jong-Myon DA - 2016/04/26/ DO - 10.4178/epih.e2016014 DP - CrossRef L1 - internal-pdf://3422857391/Bae-2016-A suggestion for quality assessment i.pdf LA - en PY - 2016 SN - 2092-7193 SP - e2016014 ST - A suggestion for quality assessment in systematic reviews of observational studies in nutritional epidemiology T2 - Epidemiology and Health TI - A suggestion for quality assessment in systematic reviews of observational studies in nutritional epidemiology UR - http://e-epih.org/journal/view.php?doi=10.4178/epih.e2016014 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877518/pdf/epih-38-e2016014.pdf VL - 38 Y2 - 2016/09/24/20:35:40 ID - 2482 ER - TY - JOUR AB - Random and block sulfonated poly(meta-phenylene isopthalamide)s as proton exchange membranes were synthesized through the Higashi-Yamazaki phosphorylation method. Polymers with different degrees of sulfonation from 40 to 100 mol percent were prepared by adjusting the molar feed ratio of 5-sulfoisophthalic acid sodium salt (SIPA) and isophthalic acid (IPA) in the reaction with meta-phenylene diamine. Creasable polymer films were obtained by casting DMSO polymer solutions and the membrane films could be exchanged to the proton form in strong acid.1H NMR spectroscopy and titration confirmed the degree of sulfonation. Thermogravimetric analysis demonstrated good thermal stabilities with 5% weight loss greater than 380 C. The copolymers with low degrees of sulfonation (DS = 40 mol %) exhibited low water uptake (water uptake 17 wt %) at room temperature. A segmented multiblock copolymer prepared by preforming a sulfonated block showed lower water uptake at high temperatures than the random polymer with the same DS of 40 mol % and displayed stability in water up to 80 C. Both random and block copolymers showed higher proton conductivities at high temperature than that of Nafion-117 under 95% relative humidity. 2016 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2016, 54, 25822592. 2016 Wiley Periodicals, Inc. AU - Liu, Feilong AU - Knauss, Daniel M. DA - 2016 DO - 10.1002/pola.28136 IS - 16 J2 - Journal of Polymer Science, Part A: Polymer Chemistry KW - Aromatic compounds Block copolymers Film preparation Membranes Nuclear magnetic resonance spectroscopy Polyamides Polymer films Proton conductivity Sulfonation Thermogravimetric analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 0887624X SP - 2582-2592 ST - Sulfonated poly(meta-phenylene isophthalamide)s as proton exchange membranes T2 - Journal of Polymer Science, Part A: Polymer Chemistry TI - Sulfonated poly(meta-phenylene isophthalamide)s as proton exchange membranes UR - http://dx.doi.org/10.1002/pola.28136 http://onlinelibrary.wiley.com/doi/10.1002/pola.28136/abstract VL - 54 ID - 1216 ER - TY - JOUR AB - Pooled data from multiple clinical trials can provide information for medical decision-making that typically cannot be derived from a single clinical trial. By increasing the sample size beyond that achievable in a single clinical trial, pooling individual-patient data from multiple trials provides additional statistical power to detect possible effects of study medication, confers the ability to detect rare outcomes, and facilitates evaluation of effects among subsets of patients. Data from pharmaceutical company-sponsored clinical trials lend themselves to data-pooling, meta-analysis, and data mining initiatives. Pharmaceutical company-sponsored clinical trials are arguably among the most rigorously designed and conducted of studies involving human subjects as a result of multidisciplinary collaboration involving clinical, academic and/or governmental investigators as well as the input and review of medical institutional bodies and regulatory authorities. This paper describes the aggregation, validation and initial analysis of data from the sumatriptan/naratriptan aggregate patient (SNAP) database, which to date comprises pooled individual-patient data from 128 clinical trials conducted from 1987 to 1998 with the migraine medications sumatriptan and naratriptan. With an extremely large sample size (>28000 migraineurs, >140000 treated migraine attacks), the SNAP database allows exploration of questions about migraine and the efficacy and safety of migraine medications that cannot be answered in single clinical trials enrolling smaller numbers of patients. Besides providing the adequate sample size to address specific questions, the SNAP database allows for subgroup analyses that are not possible in individual trial analyses due to small sample size. The SNAP database exemplifies how the wealth of data from pharmaceutical company-sponsored clinical trials can be re-used to continue to provide benefit. AU - Barrows, C. AU - Saunders, W. AU - Austin, R. AU - Putnam, G. AU - Mansbach, H. DA - 2004/07//undefined DO - 10.1111/j.1468-2982.2003.00722.x IS - 7 J2 - Cephalalgia KW - *Databases, Factual/statistics & numerical data Clinical Trials as Topic/statistics & numerical data Data Collection/methods/statistics & numerical data Humans Indoles/*therapeutic use Logistic Models Migraine Disorders/drug therapy/epidemiology Piperidines/*therapeutic use Sumatriptan/*therapeutic use Tryptamines L1 - internal-pdf://2027907669/Barrows-2004-The sumatriptan_naratriptan aggre.pdf LA - eng PY - 2004 SN - 0333-1024 0333-1024 SP - 586-595 ST - The sumatriptan/naratriptan aggregated patient (SNAP) database: aggregation, validation and application T2 - Cephalalgia : an international journal of headache TI - The sumatriptan/naratriptan aggregated patient (SNAP) database: aggregation, validation and application UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/j.1468-2982.2003.00722.x/asset/j.1468-2982.2003.00722.x.pdf?v=1&t=itiqa1zp&s=e1cae8c68f016c737028235371319d44c290ad42 VL - 24 ID - 276 ER - TY - CONF AB - As deployed grids increase from tens to thousands of nodes, peer-to-peer (P2P) techniques and protocols can be used to implement scalable services and applications. The super-peer model is an approach that helps the convergence of P2P models and grid environments and can be used to deploy a P2P information service in grids. A super-peer serves a single virtual organization (VO) in a grid, and manages metadata associated to the resources provided by the nodes of that VO. Super-peers connect to each other to form a peer network at a higher level. This paper examines how the super-peer model can be used to handle membership management and resource discovery services in a multi-organizational grid. A simulation analysis evaluates the performance of a resource discovery protocol; simulation results can be used to tune protocol parameters in order to increase search efficiency. AU - Mastroianni, C. AU - Talia, D. AU - Verta, O. C3 - Advances in Grid Computing - EGC 2005. European Grid Conference. Revised Selected Papers, 14-16 Feb. 2005 DA - 2005 KW - data mining Grid computing Information Resources Knowledge management meta data peer-to-peer computing PB - Springer-Verlag PY - 2005 SP - 132-43 ST - A super-peer model for building resource discovery services in grids: design and simulation analysis T3 - Advances in Grid Computing - EGC 2005. European Grid Conference (Lecture Notes in Computer Science Vol. 3470) TI - A super-peer model for building resource discovery services in grids: design and simulation analysis ID - 1289 ER - TY - JOUR AB - The IBM intranet hosts a range of news feeds, or distribution services, from internal and external sources. To read the news of the day, users need to visit a number of Web sites, each with a different categorization, navigational structure and layout. Transfer of technology from the MIT Media Laboratory to IBM enabled the design of SuperNews, a prototype application that aimed to improve IBM employees' experience in reading the news. SuperNews merges heterogeneous news feeds and presents a consistent interface to users. Users can choose to read news on the Web, in e-mail or as engaging visualizations. Using text-processing technology, SuperNews discovers meta-information in articles and creates new ways to browse the news collection. SuperNews also allows users to publish their own columns, as well as to annotate and recommend articles to their colleagues. Starting with a range of uncoordinated feeds, SuperNews has transformed the solitary reading of news into an engaging and visually appealing community experience. AU - Elo Dean, S. AU - Weitzman, L. DA - 2000 DO - 10.1147/sj.393.0633 IS - 3-4 J2 - IBM Systems Journal KW - business graphics data mining data visualisation DP industry Electronic mail Electronic publishing Information Resources Intranets text analysis L1 - internal-pdf://2524180424/Elo Dean-2000-SuperNews_ multiple feeds for mu.pdf PY - 2000 SN - 0018-8670 SP - 633-45 ST - SuperNews: multiple feeds for multiple views T2 - IBM Systems Journal TI - SuperNews: multiple feeds for multiple views UR - http://dx.doi.org/10.1147/sj.393.0633 VL - 39 ID - 1077 ER - TY - JOUR AB - Following the Evidence Based Medicine (EBM) practice, practitioners make use of the existing evidence to make therapeutic decisions. This evidence, in the form of scientific statements, is usually found in scholarly publications such as randomised control trials and systematic reviews. However, finding such information in the overwhelming amount of published material is particularly challenging. Approaches have been proposed to automatically extract scientific artefacts in EBM using standardised schemas. Our work takes this stream a step forward and looks into consolidating extracted artefacts-i.e., quantifying their degree of similarity based on the assumption that they carry the same rhetorical role. By semantically connecting key statements in the literature of EBM, practitioners are not only able to find available evidence more easily, but also can track the effects of different treatments/outcomes in a number of related studies. We devise a regression model based on a varied set of features and evaluate it both on a general English corpus (the SICK corpus), as well as on an EBM corpus (the NICTA-PIBOSO corpus). Experimental results show that our approach performs on par with the state of the art on the general English and achieves encouraging results on the biomedical text when compared against human judgement. AU - Hassanzadeh, Hamed AU - Groza, Tudor AU - Nguyen, Anthony AU - Hunter, Jane DA - 2015 DO - 10.1371/journal.pone.0129392 IS - 6 J2 - PLoS One KW - *Algorithms *Evidence-Based Medicine *Semantics Data Mining/*statistics & numerical data Humans Randomized Controlled Trials as Topic Regression Analysis L1 - internal-pdf://2676786091/Hassanzadeh-2015-A supervised approach to quan.pdf LA - eng PY - 2015 SN - 1932-6203 1932-6203 SP - e0129392 ST - A supervised approach to quantifying sentence similarity: with application to evidence based medicine T2 - PloS one TI - A supervised approach to quantifying sentence similarity: with application to evidence based medicine UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4454558/pdf/pone.0129392.pdf VL - 10 ID - 243 ER - TY - CONF AB - The purpose of this research is to conduct a comprehensive and systematic review of the literature in the field of 'Supply Chain Risk Management' and identify important research gaps for potential research. Furthermore, a conceptual risk management framework is also proposed that encompasses holistic view of the field. 'Systematic Literature Review' method is used to examine quality articles published over a time period of almost 15 years (2000 - June, 2014). The findings of the study are validated through text mining software. Systematic literature review has identified the progress of research based on various descriptive and thematic typologies. The review and text mining analysis have also provided an insight into major research gaps. Based on the identified gaps, a framework is developed that can help researchers model interdependencies between risk factors. 2015 IEEE. AU - Qazi, Abroon AU - Quigley, John AU - Dickson, Alex C3 - 5th International Conference on Industrial Engineering and Operations Management, IEOM 2015, March 3, 2015 - March 5, 2015 DA - 2015 DO - 10.1109/IEOM.2015.7093701 KW - data mining Risk management supply chain management Supply chains L1 - internal-pdf://2442186214/07093701.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - ASQ;-BOEING; Emirates; et al.; IEEE; Lawrence Technological University ST - Supply Chain Risk Management: Systematic literature review and a conceptual framework for capturing interdependencies between risks T3 - IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding TI - Supply Chain Risk Management: Systematic literature review and a conceptual framework for capturing interdependencies between risks UR - http://dx.doi.org/10.1109/IEOM.2015.7093701 ID - 940 ER - TY - CONF AB - The number of scientific publications is constantly increasing, and the results published on Empirical Software Engineering are growing even faster. Some software engineering publishers have began to collaborate with research groups to make available repositories of software engineering empirical data. However, these initiatives are limited due to issues related to the available search tools. As a result, many researchers in the area have adopted a semi-automated approach for performing searches for systematic reviews as a mean to extract empirical evidence from published material. This makes this activity labor intensive and error prone. In this paper, we argue that the use of techniques from information retrieval, as well as text mining, can support systematic reviews and improve the creation of repositories of SE empirical evidence. 2010 ICST. AU - Ramampiaro, Heri AU - Cruzes, Daniela AU - Conradi, Reidar AU - Mendona, Manoel C3 - 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010, October 9, 2010 - October 12, 2010 DA - 2010 KW - data mining Engineering information retrieval Natural language processing systems Publishing Search Engines software engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2010 SP - Create-Net; ICST; IEEE Computer Society ST - Supporting evidence-based Software Engineering with collaborative information retrieval T3 - Proceedings of the 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2010 TI - Supporting evidence-based Software Engineering with collaborative information retrieval ID - 972 ER - TY - CONF AB - Meta search and social media are combined in our work to build a platform to share cross-media data. Data are extracted from web on demand with meta-search engine since more accurate and complete retrieval results can be provided than a single SE. The key to affect the performance of data extraction is the schedule of data sources to provide data efficiently. A uniform model to describe data sources is suggested, with this model a method to construct query plan graph and an algorithm to get the optimal query plan are proposed. A dynamic and adaptive adjustment approach for query plan execution is described to deal with unexpected failure of data source connection or data extraction. The details of wrapper manager encapsulating data sources are explained at the end of the paper. 2012 Springer-Verlag. AU - Li, Rongrong AU - Zhai, Weixiang AU - Peng, Zhiyong C3 - Int. Workshops on Web-Age Information Management, WAIM 2011: 1st Int. Workshop on Web-Based Geographic Information Management, WGIM 2011, 3rd Int. Workshop on XML Data Management, XMLDM 2011, 1st Int. Workshop on Social Network Analysis, SNA 2011, September 14, 2011 - September 16, 2011 DA - 2012 DO - 10.1007/978-3-642-28635-3_18 KW - data mining Information Management Managers query processing Search Engines Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2012 SN - 03029743 SP - 185-196 ST - Supporting query over dynamic combination of data sources for social media T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Supporting query over dynamic combination of data sources for social media UR - http://dx.doi.org/10.1007/978-3-642-28635-3_18 http://link.springer.com/chapter/10.1007%2F978-3-642-28635-3_18 VL - 7142 LNCS ID - 1089 ER - TY - CONF AB - In model-driven engineering, domain-specific languages (DSLs) play an important role in providing well-defined environments for modeling different aspects of a system. Detailed knowledge of the application domain as well as expertise in language engineering is required to create new languages. This research work proposes automated knowledge acquisition to support language engineers in early language development phases. We describe an iterative approach in which DSL development benefits from formalized knowledge sources and information extraction from text supporting domain analysis and metamodel construction. We show how the acquired knowledge is used to guide language engineers and how knowledge acquisition is adapted according to modeling decisions. 2012 Springer-Verlag Berlin Heidelberg. AU - Agt, Henning C3 - Workshops and Symposia on Models in Software Engineering, MODELS 2011, October 16, 2011 - October 21, 2011 DA - 2012 DO - 10.1007/978-3-642-29645-1_2 KW - Engineering research Engineers Knowledge acquisition Problem oriented languages software engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2012 SN - 03029743 SP - 4-11 ST - Supporting software language engineering by automated domain knowledge acquisition T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Supporting software language engineering by automated domain knowledge acquisition UR - http://dx.doi.org/10.1007/978-3-642-29645-1_2 VL - 7167 LNCS ID - 860 ER - TY - JOUR AB - BACKGROUND: Identifying relevant studies for inclusion in a systematic review (i.e. screening) is a complex, laborious and expensive task. Recently, a number of studies has shown that the use of machine learning and text mining methods to automatically identify relevant studies has the potential to drastically decrease the workload involved in the screening phase. The vast majority of these machine learning methods exploit the same underlying principle, i.e. a study is modelled as a bag-of-words (BOW). METHODS: We explore the use of topic modelling methods to derive a more informative representation of studies. We apply Latent Dirichlet allocation (LDA), an unsupervised topic modelling approach, to automatically identify topics in a collection of studies. We then represent each study as a distribution of LDA topics. Additionally, we enrich topics derived using LDA with multi-word terms identified by using an automatic term recognition (ATR) tool. For evaluation purposes, we carry out automatic identification of relevant studies using support vector machine (SVM)-based classifiers that employ both our novel topic-based representation and the BOW representation. RESULTS: Our results show that the SVM classifier is able to identify a greater number of relevant studies when using the LDA representation than the BOW representation. These observations hold for two systematic reviews of the clinical domain and three reviews of the social science domain. CONCLUSIONS: A topic-based feature representation of documents outperforms the BOW representation when applied to the task of automatic citation screening. The proposed term-enriched topics are more informative and less ambiguous to systematic reviewers. AU - Mo, Yuanhan AU - Kontonatsios, Georgios AU - Ananiadou, Sophia DA - 2015 DO - 10.1186/s13643-015-0117-0 J2 - Syst Rev KW - *Models, Statistical *Review Literature as Topic *Support Vector Machine Biomedical Research/*classification Data Mining/*methods Decision Making, Computer-Assisted Humans L1 - internal-pdf://0304089171/art%253A10.1186%252Fs13643-015-0117-0.pdf LA - eng PY - 2015 SN - 2046-4053 2046-4053 SP - 172 ST - Supporting systematic reviews using LDA-based document representations T2 - Systematic reviews TI - Supporting systematic reviews using LDA-based document representations VL - 4 ID - 49 ER - TY - JOUR AU - Ananiadou, Sophia AU - Rea, Brian AU - Okazaki, Naoaki AU - Procter, Rob AU - Thomas, James DA - 2009 DP - Google Scholar L1 - http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.186.3095&rep=rep1&type=pdf PY - 2009 ST - Supporting systematic reviews using text mining T2 - Social Science Computer Review TI - Supporting systematic reviews using text mining UR - http://ssc.sagepub.com/content/early/2009/04/20/0894439309332293.short Y2 - 2016/09/24/16:02:05 ID - 2404 ER - TY - JOUR AB - BACKGROUND: Understanding the integration of hormone signaling and how it impacts oncogenesis is critical for improved cancer treatments. Here we elucidate GNAI2 message alterations in ovarian cancer (OvCa). GNAI2 is a heterotrimeric G protein which couples cell surface hormone receptors to intracellular enzymes, and is best characterized for its direct role in regulating cAMP response element-binding protein (CREB) function by decreasing intracellular cAMP through inhibiting adenylyl cyclase. METHODS: We probed the Origene human OvCa array for the presence of polymorphisms and gene expression alterations of GNAI2 using directing sequencing and qPCR. These data were supported by database mining of the [NCBI NIH GSE:6008, GSE:14764, GSE:29450, GDS:4066, GDS:3297, GSE:32474, and GSE:2003] datasets. RESULTS: No significant polymorphisms were found, including an absence of the gip2 oncogene. However, 85.9% of (506 of 589) OvCa patients had decreased GNAI2 message. Further characterization demonstrated that the GNAI2 message was on average decreased 54% and maximally decreased by 2.8 fold in clear cell carcinoma. GNAI2 message decreased in early stage cancer while message was increased compared to normal in advanced cancers. The changes in GNAI2 also correlated to deregulation of CREB, Fos, Myc, cyclins, Arf, the transition from estrogen dependence to independence, and metastatic potential. CONCLUSION: These data strongly implicate GNAI2 as a critical regulator of oncogenesis and an upstream driver of cancer progression in OvCa. AU - Raymond, John R., Jr. AU - Appleton, Kathryn M. AU - Pierce, Jennifer Y. AU - Peterson, Yuri K. DA - 2014 DO - 10.1186/1757-2215-7-6 J2 - J Ovarian Res KW - Biomarkers, Tumor/*genetics Carcinoma/enzymology/*genetics/pathology Databases, Genetic data mining Down-Regulation Female Gene Expression Profiling/methods Gene Expression Regulation, Neoplastic Gene Regulatory Networks GTP-Binding Protein alpha Subunit, Gi2/*genetics Humans Neoplasm Staging Oligonucleotide Array Sequence Analysis Ovarian Neoplasms/enzymology/*genetics/pathology Real-Time Polymerase Chain Reaction RNA, Messenger/*genetics Signal Transduction Transcriptome LA - eng PY - 2014 SN - 1757-2215 1757-2215 SP - 6 ST - Suppression of GNAI2 message in ovarian cancer T2 - Journal of ovarian research TI - Suppression of GNAI2 message in ovarian cancer VL - 7 ID - 159 ER - TY - JOUR AB - The chlorite group of minerals exhibit a wide range of surface charging properties in aqueous suspensions. A systematic review of the literature as it relates to the flotation, depression and surface properties of chlorite and related minerals was undertaken, with a view to using this information to help develop suitable reagent schemes which might allow the selective removal of chlorite from sulphide and oxide flotation systems. The surface charge on chlorite mineral particles originates from permanent charges on basal planes of the crystallites and pH dependent (amphoteric) charge on crystallite edges, typical of clay minerals. The net charge on chlorite particles depends upon the edge/face plane ratio (crystallite size), the solution pH and the presence of specifically adsorbing ions (principally Ca2+). Both cationic and anionic surfactants (collectors) are observed to adsorb on chlorite particles, over a wide range of pH conditions. This apparently contradictory behaviour is most likely due to the dual modes of surface charging and the effects of cation substitution into the chlorite lattice. In the case of anionic collectors, some specific (chemical) adsorption energy may also contribute to the adsorption properties. Chlorite depressants used in oxide and sulphide flotation are typical of those used for other silicate minerals. The most common of these depressants are sodium silicate (Na2SiO3), carboxymethylcellulose and fluoro compounds (hydrogen fluoride and sodium hexafluorosilicate). There have been no studies of the effects of the chlorite surface charging properties upon depressant selection, although it appears likely that the edge/face plane ratio will strongly influence the depressant adsorption behaviour. 2011 Institute of Materials, Minerals and Mining and The AusIMM. AU - Silvester, E. J. AU - Bruckard, W. J. AU - Woodcock, J. T. DA - 2011 DO - 10.1179/1743285510Y.0000000009 IS - 2 J2 - Transactions of the Institutions of Mining and Metallurgy, Section C: Mineral Processing and Extractive Metallurgy KW - Adsorption Anionic surfactants Cationic surfactants Chlorite minerals Clay minerals Crystallite size Diseases Flotation Hydrogen minerals pH Silicates Surface charge Surface properties Suspensions (fluids) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 03719553 SP - 65-70 ST - Surface and chemical properties of chlorite in relation to its flotation and depression T2 - Transactions of the Institutions of Mining and Metallurgy, Section C: Mineral Processing and Extractive Metallurgy TI - Surface and chemical properties of chlorite in relation to its flotation and depression UR - http://dx.doi.org/10.1179/1743285510Y.0000000009 VL - 120 ID - 584 ER - TY - JOUR AB - Data clustering is a popular unsupervised data mining tool that is used for partitioning a given dataset into homogeneous groups based on some similarity/dissimilarity metric. Traditional clustering algorithms often make prior assumptions about the cluster structure and adopt a corresponding suitable objective function that is optimized either through classical techniques or metaheuristic approaches. These algorithms are known to perform poorly when the cluster assumptions do not hold in the data. Multiobjective clustering, in which multiple objective functions are simultaneously optimized, has emerged as an attractive and robust alternative in such situations. In particular, application of multiobjective evolutionary algorithms for clustering has become popular in the past decade because of their population-based nature. Here, we provide a comprehensive and critical survey of the multitude of multiobjective evolutionary clustering techniques existing in the literature. The techniques are classified according to the encoding strategies adopted, objective functions, evolutionary operators, strategy for maintaining nondominated solutions, and the method of selection of the final solution. The pros and cons of the different approaches are mentioned. Finally, we have discussed some real-life applications of multiobjective clustering in the domains of image segmentation, bioinformatics, web mining, and so forth. 2015 ACM 0360-0300/2015/05-ART61 $15.00. AU - Mukhopadhyay, Anirban AU - Maulik, Ujjwal AU - Bandyopadhyay, Sanghamitra DA - 2015 DO - 10.1145/2742642 IS - 4 J2 - ACM Computing Surveys KW - Algorithms bioinformatics Cluster Analysis Clustering algorithms data mining Evolutionary algorithms image segmentation Multiobjective optimization Optimization Pareto principle Surveys N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 03600300 ST - A survey of multiobjective evolutionary clustering T2 - ACM Computing Surveys TI - A survey of multiobjective evolutionary clustering UR - http://dx.doi.org/10.1145/2742642 VL - 47 ID - 1051 ER - TY - JOUR AU - Gupta, Vishal AU - Lehal, Gurpreet S. DA - 2009 DP - Google Scholar IS - 1 L1 - http://www.jetwi.us/uploadfile/2014/1230/20141230112729939.pdf PY - 2009 SP - 60-76 ST - A survey of text mining techniques and applications T2 - Journal of emerging technologies in web intelligence TI - A survey of text mining techniques and applications VL - 1 ID - 2336 ER - TY - JOUR AB - Recent years have witnessed a rapid spread of multi-modality microblogs like Twitter and Sina Weibo composed of image, text and emoticon. Visual sentiment prediction of such microblog based social media has recently attracted ever-increasing research focus with broad application prospect. In this paper, we give a systematic review of the recent advances and cutting-edge techniques for visual sentiment analysis. To this end, in this paper we review the most recent works in this topic, in which detailed comparison as well as experimental evaluation are given over the cutting-edge methods. We further reveal and discuss the future trends and potential directions for visual sentiment prediction. 2016, Higher Education Press and Springer-Verlag Berlin Heidelberg. AU - Ji, Rongrong AU - Cao, Donglin AU - Zhou, Yiyi AU - Chen, Fuhai DA - 2016 DO - 10.1007/s11704-016-5453-2 IS - 4 J2 - Frontiers of Computer Science KW - cutting tools data mining Forecasting Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 20952228 SP - 602-611 ST - Survey of visual sentiment prediction for social media analysis T2 - Frontiers of Computer Science TI - Survey of visual sentiment prediction for social media analysis UR - http://dx.doi.org/10.1007/s11704-016-5453-2 VL - 10 ID - 908 ER - TY - CONF AB - In this paper, we present the findings of a systematic review of the SRE literature, covering 300 papers in 95 publication venues (conferences and journals) in the last twelve years. We employ statistic techniques to help mining patterns and trends from the analyzed data set. We identified a prevalence of purely theoretical studies in the surveyed period, where no more than 31% are experimental research. Also, the number of research works in "Reliability Assessment" has clearly increased since 2002, and especially during the last three years. On the other hand, works in "Reliability Modeling" and "Fault Analysis" have been gradually reduced during the last decade. Copyright 2014 ACM. AU - Xavier, Joicymara AU - Macedo, Autran AU - Matias, Rivalino AU - Borges, Lucio C3 - 29th Annual ACM Symposium on Applied Computing, SAC 2014, March 24, 2014 - March 28, 2014 DA - 2014 DO - 10.1145/2554850.2555161 KW - Reliability analysis Software reliability Surveys N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2014 SP - 1190-1191 ST - A survey on research in software reliability engineering in the last decade T3 - Proceedings of the ACM Symposium on Applied Computing TI - A survey on research in software reliability engineering in the last decade UR - http://dx.doi.org/10.1145/2554850.2555161 ID - 595 ER - TY - JOUR AU - Wang, Guo-Yin AU - Yao, Yi-Yu AU - Yu, Hong AU - others DA - 2009 DP - Google Scholar IS - 7 PY - 2009 SP - 1229-1246 ST - A survey on rough set theory and applications T2 - Chinese Journal of Computers TI - A survey on rough set theory and applications UR - http://cjc.ict.ac.cn/eng/qwjse/view.asp?id=2902 VL - 32 Y2 - 2016/09/24/16:09:17 ID - 2453 ER - TY - CONF AB - With the recent explosive growth of Short text in the Internet and blog-sphere, Short text classification and analysis has been identified as a booming research topic in recent times. Short text classification is a challenge due to its sparse nature, noise words, syntactical structure and colloquial terminologies used. It is usually difficult for traditional similarity measures to detect intrinsic relationship among Short text snippets as they contain very limited common words. Although there are several reviews done on Text classification in general, there are no systematic reviews on Short text classification and analysis. This survey discusses the existing works on Short text analysis and the related issues and challenges. The effectiveness of these algorithms have been analysed by using standard analytical measures. 2011 IEEE. AU - Rafeeque, P. C. AU - Sendhilkumar, S. C3 - 3rd International Conference on Advanced Computing, ICoAC 2011, December 14, 2011 - December 16, 2011 DA - 2011 DO - 10.1109/ICoAC.2011.6165203 KW - Classification (of information) Internet Surveys Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2011 SP - 365-370 ST - A survey on Short text analysis in Web T3 - 3rd International Conference on Advanced Computing, ICoAC 2011 TI - A survey on Short text analysis in Web UR - http://dx.doi.org/10.1109/ICoAC.2011.6165203 ID - 478 ER - TY - JOUR AU - Li, Tao AU - Li, Qi AU - Zhu, Shenghuo AU - Ogihara, Mitsunori DA - 2002 DP - Google Scholar IS - 2 L1 - http://www.mathcs.emory.edu/~cheung/papers/StreamDB/Wavelet/2002-Li-Wavelet-survey.pdf PY - 2002 SP - 49-68 ST - A survey on wavelet applications in data mining T2 - ACM SIGKDD Explorations Newsletter TI - A survey on wavelet applications in data mining UR - http://dl.acm.org/citation.cfm?id=772870 VL - 4 Y2 - 2016/09/24/16:09:17 ID - 2457 ER - TY - JOUR AB - INTRODUCTION: Although nonsurgical initial root canal treatment and retreatment have high success rates, periapical disease can remain. The survival rates of 2 surgical procedures, intentionally replanted (IR) teeth and implant-supported single crowns (ISCs), have yet to be compared. The purpose of this systematic review and meta-analysis was to examine the literature and quantify the survival of IR teeth and compare it with that of ISCs. METHODS: Systematic searches were enriched by citation mining. Weighted survival means and 95% confidence intervals (CI) were estimated using a random-effects model and compared. RESULTS: The quality of the IR and ISC articles was only moderate. Data for ISCs were much more plentiful than for IR teeth. Meta-analysis revealed a weighted mean survival of 88% (95% CI, 81%-94%) for IR teeth. Root resorption was reported with a mean prevalence of 11%. The weighted mean survival of ISCs was 97% (95% CI, 96%-98%). The mean survival of ISCs was significantly higher than that of IR teeth (P < .001). A recent study on IR teeth indicated that orthodontic extrusion before intentional replantation improved survival rates. CONCLUSIONS: A systematic review and meta-analysis found that the mean survival of ISCs was significantly higher than IR teeth. However, treatment decisions must be based on a wide variety of treatment and patient-specific parameters. Intentional replantation may have a role when ISC is not practicable. Studies using contemporary treatment and analytic methods should be used to identify and measure intentional replant prognostic and treatment variables. AU - Torabinejad, Mahmoud AU - Dinsbach, Nathan A. AU - Turman, Michael AU - Handysides, Robert AU - Bahjri, Khaled AU - White, Shane N. DA - 2015/07//undefined DO - 10.1016/j.joen.2015.01.004 IS - 7 J2 - J Endod KW - Implant-supported single crowns intentionally replanted teeth survival Systematic review LA - eng PY - 2015 SN - 1878-3554 0099-2399 SP - 992-998 ST - Survival of Intentionally Replanted Teeth and Implant-supported Single Crowns: A Systematic Review T2 - Journal of endodontics TI - Survival of Intentionally Replanted Teeth and Implant-supported Single Crowns: A Systematic Review VL - 41 ID - 44 ER - TY - JOUR AB - Considering economic, environmental and social impacts, this paper presents a new sustainable closed-loop location-routing-inventory model under mixed uncertainty. The environmental impacts of CO2 emissions, fuel consumption, wasted energy and the social impacts of created job opportunities and economic development are considered in this paper. The uncertain nature of the network is handled using a stochastic-possibilistic programming approach. Furthermore, for large-sized problems, a hybrid meta-heuristic algorithm and lower bounds are developed and discussed. Finally, a real case study is provided to demonstrate the applicability of the model in real-world applications, and several in-depth analyses are conducted to develop managerial implications. [All rights reserved Elsevier]. AU - Zhalechian, M. AU - Tavakkoli-Moghaddam, R. AU - Zahiri, B. AU - Mohammadi, M. DA - 2016/05// DO - 10.1016/j.tre.2016.02.011 J2 - Transportation Research Part E: Logistics and Transportation Review KW - facility location inventory management possibility theory queueing theory stochastic programming supply chain management sustainable development PY - 2016 SN - 1366-5545 SP - 182-214 ST - Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty T2 - Transportation Research Part E: Logistics and Transportation Review TI - Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty UR - http://dx.doi.org/10.1016/j.tre.2016.02.011 VL - 89 ID - 663 ER - TY - JOUR AB - This article explores the influences informing the voluntary initiatives undertaken by major mining companies to meet their environmental and social responsibilities. The framing by mining companies of their corporate social responsibility (CSR) policies in terms of sustainable development, as reflected in their stand-alone CSR reports, is a noteworthy feature of the mining industry. This article analyzes the process by which convergence occurred around the norm of sustainable development and examines the circumstances that led to the adoption of unilateral and collaborative corporate voluntary initiatives to promote sustainable development in the mining sector. The author argues that the interaction of institutional dynamics with managerial preferences are key variables which can best be explained by institutional approaches in organization theory and international relations theory that draw attention to the global context and the dissemination of global norms. AU - Dashwood, Hevina S. DA - 2014/07// DO - 10.1177/0007650313475997 IS - 4 L1 - internal-pdf://3675106602/Dashwood-2014-Sustainable Development and Indu.pdf PY - 2014 SN - 0007-6503 SP - 551-582 ST - Sustainable Development and Industry Self-Regulation: Developments in the Global Mining Sector T2 - Business & Society TI - Sustainable Development and Industry Self-Regulation: Developments in the Global Mining Sector UR - http://bas.sagepub.com.ezproxy.lib.vt.edu/content/53/4/551.full.pdf VL - 53 ID - 2169 ER - TY - CONF AB - The search meta-heuristic procedure that mimics the process of biological natural selection is an embedded part of artificial intelligence (AI). This is regularly used for obtaining the solution to some optimization problems such as the minimization of disastrous occurrence events in industries. Extra precautions are given to people and equipment operating in hazardous and harsh environments; thus there are safety systems designed to give the required, accurate, necessary and timely protections. There is hence the need to drastically reduce the probability of the occurrence of a system failure. A High Integrity Protection System (HIPS) is a safety device which could be installed on offshore facilities with the objective to mitigate a high pressure upsurge that has the potential to cause immense harm and subsequently destroy the system. The aim of the research is to use a Particle Swarm Optimization (PSO) approach to intelligently design the system in order to optimize and reduce the unavailability of the HIPS design. A Fault Tree Analysis (FTA) model is employed to build the HIPS structure. FTA is a top-down approach using Boolean logic operations that is used to analyze causes, investigates potential and likely faults and to quantify their contribution to system failure in the process of product design. Comparison is made between this HIPS-PSO approach and the previous work performed using a genetic algorithm (GA). Alongside from the simplicity in the design of the HIPS-PSO approach, a much faster execution time and a reduced system unavailability was obtained when compared with the GA approach. AU - Owa, Kayode AU - Jackson, Lisa AU - Jackson, Tom C3 - International Multiconference of Engineers and Computer Scientists 2016, IMECS 2016, March 16, 2016 - March 18, 2016 DA - 2016 KW - artificial intelligence Computation theory Design Fault tree analysis Genetic algorithms Heuristic methods Optimization Particle swarm optimization (PSO) Product Design Safety engineering Security systems Systems engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Newswood Limited PY - 2016 SN - 20780958 SP - 13-18 ST - Swarm computational intelligence design for A High Integrity Protection System T3 - Lecture Notes in Engineering and Computer Science TI - Swarm computational intelligence design for A High Integrity Protection System VL - 1 ID - 1107 ER - TY - JOUR AB - Background and objectives: Rule-based classification is a typical data mining task that is being used in several medical diagnosis and decision support systems. The rules stored in the rule base have an impact on classification efficiency. Rule sets that are extracted with data mining tools and techniques are optimized using heuristic or meta-heuristic approaches in order to improve the quality of the rule base. In this work, a meta-heuristic approach called Wind-driven Swarm Optimization (WSO) is used. The uniqueness of this work lies in the biological inspiration that underlies the algorithm. Methods: WSO uses Jval, a new metric, to evaluate the efficiency of a rule-based classifier. Rules are extracted from decision trees. WSO is used to obtain different permutations and combinations of rules whereby the optimal ruleset that satisfies the requirement of the developer is used for predicting the test data. The performance of various extensions of decision trees, namely, RIPPER, PART, FURIA and Decision Tables are analyzed. The efficiency of WSO is also compared with the traditional Particle Swarm Optimization. Results: Experiments were carried out with six benchmark medical datasets. The traditional C4.5 algorithm yields 62.89% accuracy with 43 rules for liver disorders dataset where as WSO yields 64.60% with 19 rules. For Heart disease dataset, C4.5 is 68.64% accurate with 98 rules where as WSO is 77.8% accurate with 34 rules. The normalized standard deviation for accuracy of PSO and WSO are 0.5921 and 0.5846 respectively. Conclusion: WSO provides accurate and concise rulesets. PSO yields results similar to that of WSO but the novelty of WSO lies in its biological motivation and it is customization for rule base optimization. The trade-off between the prediction accuracy and the size of the rule base is optimized during the design and development of rule-based clinical decision support system. The efficiency of a decision support system relies on the content of the rule base and classification accuracy. (C) 2015 Elsevier Ireland Ltd. All rights reserved. AU - Christopher, J. Jabez AU - Nehemiah, H. Khanna AU - Kannan, A. DA - 2015/10// DO - 10.1016/j.cmpb.2015.05.007 IS - 3 L1 - internal-pdf://4042002866/Christopher-2015-A Swarm Optimization approach.pdf PY - 2015 SN - 0169-2607 SP - 137-148 ST - A Swarm Optimization approach for clinical knowledge mining T2 - Computer Methods and Programs in Biomedicine TI - A Swarm Optimization approach for clinical knowledge mining UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0169260715001509/1-s2.0-S0169260715001509-main.pdf?_tid=f6d13638-8330-11e6-a41f-00000aab0f6b&acdnat=1474815880_9073fde08c79f880aba2cbc368c3984b VL - 121 ID - 2073 ER - TY - JOUR AB - On the one hand, swarm intelligence (SI) is an emerging field of artificial intelligence that takes inspiration in the collective and social behavior of different groups of simple agents. On the other hand, the automatic evolution of programs is an active research area that has attracted a lot of interest and has been mostly promoted by the genetic programming paradigm. The main objective is to find computer programs from a high-level problem statement of what needs to be done, without needing to know the structure of the solution beforehand. This paper looks at the intersection between SI and automatic programming, providing a survey on the state-of-the-art of the automatic programming algorithms that use an SI metaheuristic as the search technique. The expression of swarm programming (SP) has been coined to cover swarm-based automatic programming proposals, since they have been published to date in a disorganized manner. Open issues for future research are listed. Although it is a very recent area, we hope that this work will stimulate the interest of the research community in the development of new SP metaheuristics, algorithms, and applications. AU - Olmo, Juan L. AU - Romero, Jose R. AU - Ventura, Sebastian DA - 2014 DO - 10.1002/widm.1138 IS - 6 J2 - Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery KW - artificial intelligence Automatic programming Genetic algorithms Genetic programming Heuristic algorithms Surveys N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 19424787 SP - 445-469 ST - Swarm-based metaheuristics in automatic programming: A survey T2 - Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery TI - Swarm-based metaheuristics in automatic programming: A survey UR - http://dx.doi.org/10.1002/widm.1138 VL - 4 ID - 935 ER - TY - BLOG AB - We have just published a new manuscript about our SWIFT-Review software in the journal Systematic Reviews! SWIFT-Review (SWIFT is an acronym for “Sciome Workbench for Interactive computer-Facilitated Text-mining”) is a freely available, interactive workbench which provides numerous tools to assist with problem formulation and literature prioritization. SWIFT-Review puts the systematic review expert … AU - Howard, Brian E., Jason Phillips, Kyle Miller, Arpit Tandon, Deepak Mav, Mihir R. Shah, Holmgren, Stephanie, Pelch, Katherine E., Walker, Vickie, Rooney, Andrew A., Macleod, Malcolm, Shah, Ruchir R., Thayer, Kristina DA - 2016/05/23/T11:13:41-04:00 L1 - internal-pdf://2044897762/art%253A10.1186%252Fs13643-016-0263-z.pdf PY - 2016 ST - SWIFT-Review Manuscript Published in Systematic Reviews Journal T2 - Sciome TI - SWIFT-Review Manuscript Published in Systematic Reviews Journal UR - http://www.sciome.com/swift-review-manuscript-published-systematic-reviews-journal/ ID - 2502 ER - TY - JOUR AB - BACKGROUND: There is growing interest in using machine learning approaches to priority rank studies and reduce human burden in screening literature when conducting systematic reviews. In addition, identifying addressable questions during the problem formulation phase of systematic review can be challenging, especially for topics having a large literature base. Here, we assess the performance of the SWIFT-Review priority ranking algorithm for identifying studies relevant to a given research question. We also explore the use of AU - Howard, Brian E. AU - Phillips, Jason AU - Miller, Kyle AU - Tandon, Arpit AU - Mav, Deepak AU - Shah, Mihir R. AU - Holmgren, Stephanie AU - Pelch, Katherine E. AU - Walker, Vickie AU - Rooney, Andrew A. AU - Macleod, Malcolm AU - Shah, Ruchir R. AU - Thayer, Kristina DA - 2016 DO - 10.1186/s13643-016-0263-z J2 - Syst Rev KW - Literature prioritization Scoping reports Software SWIFT-Review Systematic review L1 - internal-pdf://1642663198/Howard-2016-SWIFT-Review_ a text-mining workbe.pdf LA - eng PY - 2016 SN - 2046-4053 2046-4053 SP - 87 ST - SWIFT-Review: a text-mining workbench for systematic review T2 - Systematic reviews TI - SWIFT-Review: a text-mining workbench for systematic review UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877757/pdf/13643_2016_Article_263.pdf VL - 5 ID - 57 ER - TY - JOUR AB - BACKGROUND: The SYMBIOmatics Specific Support Action (SSA) is "an information gathering and dissemination activity" that seeks "to identify synergies between the bioinformatics and the medical informatics" domain to improve collaborative progress between both domains (ref. to http://www.symbiomatics.org). As part of the project experts in both research fields will be identified and approached through a survey. To provide input to the survey, the scientific literature was analysed to extract topics relevant to both medical informatics and bioinformatics. RESULTS: This paper presents results of a systematic analysis of the scientific literature from medical informatics research and bioinformatics research. In the analysis pairs of words (bigrams) from the leading bioinformatics and medical informatics journals have been used as indication of existing and emerging technologies and topics over the period 2000-2005 ("recent") and 1990-1990 ("past"). We identified emerging topics that were equally important to bioinformatics and medical informatics in recent years such as microarray experiments, ontologies, open source, text mining and support vector machines. Emerging topics that evolved only in bioinformatics were system biology, protein interaction networks and statistical methods for microarray analyses, whereas emerging topics in medical informatics were grid technology and tissue microarrays. CONCLUSION: We conclude that although both fields have their own specific domains of interest, they share common technological developments that tend to be initiated by new developments in biotechnology and computer science. AU - Rebholz-Schuhman, Dietrich AU - Cameron, Graham AU - Clark, Dominic AU - van Mulligen, Erik AU - Coatrieux, Jean-Louis AU - Del Hoyo Barbolla, Eva AU - Martin-Sanchez, Fernando AU - Milanesi, Luciano AU - Porro, Ivan AU - Beltrame, Francesco AU - Tollis, Ioannis AU - Van der Lei, Johan DA - 2007 DO - 10.1186/1471-2105-8-S1-S18 J2 - BMC Bioinformatics KW - *Natural Language Processing *Technology Assessment, Biomedical Biotechnology/*statistics & numerical data/trends Computational Biology/*statistics & numerical data/trends Forecasting Medical Informatics/*statistics & numerical data/trends Periodicals as Topic/*statistics & numerical data/trends Science/*statistics & numerical data/trends Systems Integration LA - eng PY - 2007 SN - 1471-2105 1471-2105 SP - S18 ST - SYMBIOmatics: synergies in Medical Informatics and Bioinformatics--exploring current scientific literature for emerging topics T2 - BMC bioinformatics TI - SYMBIOmatics: synergies in Medical Informatics and Bioinformatics--exploring current scientific literature for emerging topics VL - 8 Suppl 1 ID - 261 ER - TY - JOUR AB - Three isomeric tetraaryl cyanate esters containing biphenyl moieties {bis-[4-(4-cyanatophenyl)phenyl]propane, 2,2-bis-[4-(3- cyanatophenyl)phenyl]propane, and 2,2-bis-[4-(2a-cyanatophenyl)phenyl] propane} and three isomeric triaryl cyanate esters {2-(4a-hydroxyphenyl)- 2-[4-(4-hydroxyphenyl)phenyl]propane, 2-(4-hydroxyphenyl)-2- [4-(3-hydroxyphenyl)phenyl]propane, and 2-(4-hydroxyphenyl)-2- [4-(2-hydroxyphenyl)phenyl]propane} were synthesized from their corresponding bisphenols. The structures of the monomers were confirmed with IR and 1H-NMR spectroscopy. The curing behavior was investigated with differential scanning calorimetry. Cyanate esters were cured thermally in the absence of a catalyst and were characterized by dynamic mechanical analysis. The results were compared to the properties of commercial bisphenol A polycyanurate. Of the three tetraaryl isomers, 2,2-bis-[4-(2- cyanatophenyl)phenyl]propane had the highest melting point, and its corresponding resin had the lowest glass-transition temperature (Tg). The para isomer displayed the highest Tg value of the three novel tetraaryl resins. The triaryl dicyanate isomers were low-melting solids, with the ortho and meta isomers existing as liquids at room temperature. The T g value of the para-triaryl isomer was the highest of the three triaryl isomers and was about the same as that of bisphenol A polycyanurate. 2011 Wiley Periodicals, Inc. AU - Reams, Josiah T. AU - Boyles, David A. DA - 2011 DO - 10.1002/app.33360 IS - 2 J2 - Journal of Applied Polymer Science KW - Curing differential scanning calorimetry Dynamic analysis Dynamic mechanical analysis Esterification Esters Glass transition Isomers Melting Nuclear magnetic resonance spectroscopy Phenols Polymers Propane resins Thermosets N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 00218995 SP - 756-763 ST - Synthesis of biphenylated cyanate esters: Thermomechanical resin comparisons within two isomeric series T2 - Journal of Applied Polymer Science TI - Synthesis of biphenylated cyanate esters: Thermomechanical resin comparisons within two isomeric series UR - http://dx.doi.org/10.1002/app.33360 VL - 121 ID - 1489 ER - TY - JOUR AB - Theoretical arguments linking monomer geometries to polymer fracture strengths and melt flow properties provide the rationale for design of a series of isomeric, high-aspect ratio bisphenols and new polycarbonates. An efficient synthesis of these monomers in addition to an optimal triphosgenation-based method for the synthesis of high molecular weight polycarbonates is presented. Preparation and polymerization of o-, meta-, and p-tetraaryl bisphenol A are reported, in addition to glass transition temperatures of the new polycarbonates. In accordance with expectations, the p- and m- isomers form ductile, amorphous high-heat films, while the o-isomer produces a relatively low-Tg brittle glass. 2005 American Chemical Society. AU - Boyles, David A. AU - Filipova, Tsvetanka S. AU - Bendler, John T. AU - Longbrake, Guy AU - Reams, Josiah DA - 2005 DO - 10.1021/ma048616m IS - 9 J2 - Macromolecules KW - Amorphous materials Aspect ratio Fracture Glass transition Isomers Molecular weight Monomers Polycarbonates Polymerization Shear stress Synthesis (chemical) Thin films L1 - internal-pdf://0110613202/Boyles-2005-Synthesis of high aspect ratio bis.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2005 SN - 00249297 SP - 3622-3629 ST - Synthesis of high aspect ratio bisphenols and polycarbonates incorporating bisaryl units T2 - Macromolecules TI - Synthesis of high aspect ratio bisphenols and polycarbonates incorporating bisaryl units UR - http://dx.doi.org/10.1021/ma048616m http://pubs.acs.org.ezproxy.lib.vt.edu/doi/pdfplus/10.1021/ma048616m VL - 38 ID - 1017 ER - TY - JOUR AB - We extract on the computer a number of moduli of uniform continuity for the first few elements of a sequence of closed terms t of Godel's T of type (N &rarr N) &rarr (N &rarr N). The generic solution may then be quickly inferred by the human. The automated synthesis of such moduli proceeds from a proof of the hereditarily extensional equality () of t to itself, hence a proof in a weakly extensional variant of Berger-Buchholz-Schwichtenberg's system Z of t (N &rarr N) &rarr (N &rarr N) t. We use an implementation on the machine, in Schwichtenberg's MinLog proof-system, of a non-literal adaptation to Natural Deduction of Kohlenbach's monotone functional interpretation. This new version of the Monotone Dialectica produces terms in NbE-normal form by means of a recurrent partial NbE-normalization. Such partial evaluation is strictly necessary. 2007 Elsevier B.V. All rights reserved. AU - Hernest, Mircea-Dan DA - 2007 DO - 10.1016/j.entcs.2007.01.023 IS - 5 J2 - Electronic Notes in Theoretical Computer Science KW - Computational complexity Computer Simulation data mining Theorem proving N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2007 SN - 15710661 SP - 141-149 ST - Synthesis of Moduli of Uniform Continuity by the Monotone Dialectica Interpretation in the Proof-system MinLog T2 - Proceedings of the First International Workshop on Logical Frameworks and Meta-Languages: Theory and Practice (LFMTP 2006) TI - Synthesis of Moduli of Uniform Continuity by the Monotone Dialectica Interpretation in the Proof-system MinLog UR - http://dx.doi.org/10.1016/j.entcs.2007.01.023 VL - 174 ID - 1209 ER - TY - CONF AB - Nanocrystalline Ag-28Cu supersaturated solid solution is prepared by mechanical alloying (MA) using a planetary ball mill. The mechanical alloyed powders are characterized by x-ray diffraction (XRD), scanning electron microscopy (SEM), high resolution transmission electron microscopy (HRTEM) and differential scanning calorimeter (DSC). XRD patterns show that the main peak of Ag-28Cu supersaturated solid solution exists at about 2=39 when the milling time is 30h. HRTEM images show that the grain sizes of as-prepared solid solutions have distributions from 10nm to 15nm. The interplanar spacing of (111) plane for fcc Ag-28Cu supersaturated solid solution is about 2.24A. DSC measurement result indicates that the melting temperature of Ag-28Cu supersaturated solid solution is 783.8C. The Ag(Cu) supersaturated solid solutions are in metastable state and they will be transformed into Ag-rich phase and Cu-rich phase simultaneously by annealing at 215C- 415C. (2010) Trans Tech Publications. AU - Li, Liangfeng AU - Qiu, Tai AU - Yang, Jian AU - Feng, Yongbao C3 - 2009 China International Powder Technology and Application Forum, March 30, 2009 - March 31, 2009 DA - 2010 DO - 10.4028/www.scientific.net/AMR.92.271 KW - Ball milling Ball mills Crystallization differential scanning calorimetry High resolution transmission electron microscopy Mechanical alloying Metallurgy Nanocrystalline powders Scanning electron microscopy Silver Solidification Solid solutions Solution mining X ray diffraction X ray powder diffraction N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Trans Tech Publications PY - 2010 SN - 10226680 SP - 271-276 ST - Synthesis of nanocrystalline Ag-Cu supersaturated solid solution by mechanical alloying T3 - Advanced Materials Research TI - Synthesis of nanocrystalline Ag-Cu supersaturated solid solution by mechanical alloying UR - http://dx.doi.org/10.4028/www.scientific.net/AMR.92.271 http://www.scientific.net/AMR.92.271 VL - 92 ID - 1147 ER - TY - CONF AB - Graph transformation (GT) is being increasingly used in Model Driven Engineering (MDE) to describe in-place transformations like animations and refactorings. For its practical use, rules are often complemented with OCL application conditions. The advancement of rule post-conditions into pre-conditions is a well-known problem in GT, but current techniques do not consider OCL. In this paper we provide an approach to advance post-conditions with arbitrary OCL expressions into pre-conditions. This presents benefits for the practical use of GT in MDE, as it allows: (i) to automatically derive pre-conditions from the meta-model integrity constraints, ensuring rule correctness, (ii) to derive pre-conditions from graph constraints with OCL expressions and (iii) to check applicability of rule sequences with OCL conditions. 2010 Springer-Verlag. AU - Cabot, Jordi AU - Clariso, Robert AU - Guerra, Esther AU - De Lara, Juan C3 - 3rd International Conference on Theory and Practice of Model Transformations, ICMT 2010, June 28, 2010 - July 2, 2010 DA - 2010 DO - 10.1007/978-3-642-13688-7_4 KW - Graph theory N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2010 SN - 03029743 SP - 45-60 ST - Synthesis of OCL pre-conditions for graph transformation rules T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Synthesis of OCL pre-conditions for graph transformation rules UR - http://dx.doi.org/10.1007/978-3-642-13688-7_4 VL - 6142 LNCS ID - 1116 ER - TY - JOUR AB - Background: Initial genome-wide association study (GWAS) discoveries are being further explored through the use of large cohorts across multiple and diverse populations involving meta-analyses within large consortia and networks. Many of the additional studies characterize less than 100 single nucleotide polymorphisms (SNPs), often include multiple and correlated phenotypic measurements, and can include data from multiple-sites, multiple-studies, as well as multiple race/ethnicities. New approaches for visualizing resultant data are necessary in order to fully interpret results and obtain a broad view of the trends between DNA variation and phenotypes, as well as provide information on specific SNP and phenotype relationships. Results: The Synthesis-View software tool was designed to visually synthesize the results of the aforementioned types of studies. Presented herein are multiple examples of the ways Synthesis-View can be used to report results from association studies of DNA variation and phenotypes, including the visual integration of p-values or other metrics of significance, allele frequencies, sample sizes, effect size, and direction of effect. Conclusions: To truly allow a user to visually integrate multiple pieces of information typical of a genetic association study, innovative views are needed to integrate multiple pieces of information. As a result, we have created "Synthesis-View" software for the visualization of genotype-phenotype association data in multiple cohorts. Synthesis-View is freely available for non-commercial research institutions, for full details see https://chgr.mc.vanderbilt.edu/synthesisview. AU - Pendergrass, S. A. AU - Dudek, S. M. AU - Crawford, D. C. AU - Ritchie, M. D. DA - 2010 DO - 10.1186/1756-0381-3-10 J2 - Biodata Mining KW - biocomputing biological techniques biology computing data visualisation DNA Genetics Genomics meta data software tools PY - 2010 SN - 1756-0381 SP - 10-(13 pp.) ST - Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis T2 - Biodata Mining TI - Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis UR - http://dx.doi.org/10.1186/1756-0381-3-10 VL - 3 ID - 1877 ER - TY - JOUR AB - Automatic document classification can be valuable in increasing the efficiency in updating systematic reviews (SR). In order for the machine learning process to work well, it is critical to create and maintain high-quality training datasets consisting of expert SR inclusion/exclusion decisions. This task can be laborious, especially when the number of topics is large and source data format is inconsistent.To approach this problem, we build an automated system to streamline the required steps, from initial notification of update in source annotation files to loading the data warehouse, along with a web interface to monitor the status of each topic. In our current collection of 26 SR topics, we were able to standardize almost all of the relevance judgments and recovered PMIDs for over 80% of all articles. Of those PMIDs, over 99% were correct in a manual random sample study. Our system performs an essential function in creating training and evaluation data sets for SR text mining research. AU - Yang, Jianji J. AU - Cohen, Aaron M. AU - McDonagh, Marian S. DA - 2008 J2 - AMIA Annu Symp Proc KW - *Databases, Factual *Natural Language Processing *Terminology as Topic Abstracting and Indexing as Topic/*methods Algorithms artificial intelligence Pattern Recognition, Automated/*methods Periodicals as Topic/*classification PubMed/*classification United States L1 - internal-pdf://3172686009/amia-0825-s2008.pdf LA - eng PY - 2008 SN - 1942-597X 1559-4076 SP - 825-829 ST - SYRIAC: The systematic review information automated collection system a data warehouse for facilitating automated biomedical text classification T2 - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium TI - SYRIAC: The systematic review information automated collection system a data warehouse for facilitating automated biomedical text classification ID - 268 ER - TY - CONF AB - This paper presents the results of a trial application of a data mining algorithm to a multi-sensor data base. The data base structure is assumed to consist of a single dependent variable and an unspecified number of independent variables (if the data base contains more than one dependent variable, a separate model is built for each dependent variable). Given a set of values for the independent variables, the fuzzy logic model estimates the value of the dependent variable, and the error in the estimated value. The algorithm re-organizes the data records into a multi-dimensional partition tree. The tree is binary (each node is partitioned into exactly two disjoint nodes) and unbalanced (the two child nodes do not have the same number of members). The partitioning algorithm is greedy: each node is partitioned independently, and at each node the algorithm searches to find the independent variable and partition threshold that best accounts for variance in the dependent variable. Partitioning stops when the variance in the dependent variable at a node is less than some user-specified threshold. Fuzzy logic rules are constructed from the leaf nodes. The algorithm compresses the data base into a set of fuzzy logic rules. The set of fuzzy logic rules is a model of the information in the data base. We conducted meta-analysis of the relationships between the independent and dependent variables by studying how the independent variables are used in the fuzzy logic model, i.e., the number of rules that use each independent variable and the number of data records in the training data to which those rules apply. AU - Witus, G. C3 - Data Mining and Knowledge Discovery: Theory, Tools, and Technology III, 16-17 April 2001 DA - 2001 DO - 10.1117/12.421071 KW - data mining Decision theory Fuzzy Logic PB - SPIE-Int. Soc. Opt. Eng. PY - 2001 SN - 0277-786X SP - 171-9 ST - System to build fuzzy logic models from databases and application to multisensor data T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE - Int. Soc. Opt. Eng. (USA) TI - System to build fuzzy logic models from databases and application to multisensor data UR - http://dx.doi.org/10.1117/12.421071 VL - 4384 ID - 1255 ER - TY - JOUR AU - Sokolova, Marina AU - Lapalme, Guy DA - 2009 DP - Google Scholar IS - 4 L1 - http://rali.iro.umontreal.ca/rali/sites/default/files/publis/SokolovaLapalme-JIPM09.pdf PY - 2009 SP - 427-437 ST - A systematic analysis of performance measures for classification tasks T2 - Information Processing & Management TI - A systematic analysis of performance measures for classification tasks UR - http://www.sciencedirect.com/science/article/pii/S0306457309000259 VL - 45 Y2 - 2016/09/24/15:33:48 ID - 2320 ER - TY - JOUR AU - Huang, Da Wei AU - Sherman, Brad T. AU - Lempicki, Richard A. DA - 2009 DP - Google Scholar IS - 1 L1 - internal-pdf://0832077645/Huang-2009-Systematic and integrative analysis.pdf PY - 2009 SP - 44-57 ST - Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources T2 - Nature protocols TI - Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources UR - http://www.nature.com/nprot/journal/v4/n1/abs/nprot.2008.211.html http://www.nature.com/nprot/journal/v4/n1/full/nprot.2008.211.html http://www.nature.com.ezproxy.lib.vt.edu/nprot/journal/v4/n1/pdf/nprot.2008.211.pdf VL - 4 Y2 - 2016/09/24/16:00:21 ID - 2400 ER - TY - JOUR AB - Fluorine- and chlorine-containing moieties have been strategically integrated into chemical structures to optimize the pharmacokinetic and metabolic properties of therapeutic agents, based partly on the concept that the addition of these substituents may lower microsomal clearance. A large-scale systematic mechanistic study of drug metabolic alteration by aromatic halogenation has hitherto not been possible due to the lack of either large clearance databases or adequate data mining tools. To address this, we systematically searched compound pairs in Pfizer's human liver microsomal clearance database of over 220,000 unique compounds to assess the effects of fluoro-, chloro- and trifluoromethyl-substitution on phenyl derivatives. Although the para-position fluorination and chlorination lowered the microsomal clearance statistically, the substitution at the ortho and meta positions for the studied fluorine- and chlorine-containing moieties dramatically increased the microsomal clearance. More importantly, we found that changes in physicochemical properties, electronic properties, and specific binding of substrates to drug metabolizing enzymes, for instance, cytochrome P450s, are all determining factors that drive the direction of microsomal clearance when a specific series of compounds are studied. AU - Sun, Hao AU - Keefer, Christopher E. AU - Scott, Dennis O. DA - 2011/12//undefined IS - 4 J2 - Drug Metab Lett KW - Catalytic Domain Cytochrome P-450 Enzyme System/chemistry/*metabolism Databases, Factual data mining Drug Design Halogenation Humans Metabolic Clearance Rate Methylation Microsomes, Liver/*enzymology Models, Molecular Molecular Structure Phenols/chemistry/*metabolism/pharmacokinetics Protein Conformation Substrate Specificity LA - eng PY - 2011 SN - 1874-0758 1872-3128 SP - 232-242 ST - Systematic and pairwise analysis of the effects of aromatic halogenation and trifluoromethyl substitution on human liver microsomal clearance T2 - Drug metabolism letters TI - Systematic and pairwise analysis of the effects of aromatic halogenation and trifluoromethyl substitution on human liver microsomal clearance VL - 5 ID - 373 ER - TY - JOUR AB - Objectives: This project aimed to develop an approach to evaluating information contained in the premodern Traditional Chinese Medicine (TCM) literature that was (1) comprehensive, systematic, and replicable and (2) able to produce quantifiable output that could be used to answer specific research questions in order to identify natural products for clinical and experimental research. Methods: The project involved two stages. In stage 1, 14 TCM collections and compendia were evaluated for suitability as sources for searching; 8 of these were compared in detail. The results were published in the Journal of Alternative and Complementary Medicine. Stage 2 developed a text-mining approach for two of these sources. Results: The text-mining approach was developed for Zhong Hua Yi Dian; Encyclopaedia of Traditional Chinese Medicine, 4th edition) and Zhong Yi Fang Ji Da Ci Dian; Great Compendium of Chinese Medical Formulae). This approach developed procedures for search term selection; methods for screening, classifying, and scoring data; procedures for systematic searching and data extraction; data checking procedures; and approaches for analyzing results. Examples are provided for studies of memory impairment and diabetic nephropathy, and issues relating to data interpretation are discussed. Conclusions: This approach to the analysis of large collections of the premodern TCM literature uses widely available sources and provides a text-mining approach that is systematic, replicable, and adaptable to the requirements of the particular project. Researchers can use these methods to explore changes in the names and conceptions of a disease over time, to identify which therapeutic methods have been more or less frequently used in different eras for particular disorders, and to assist in the selection of natural products for research efforts. AN - 103926758. Language: English. Entry Date: 20141218. Revision Date: 20151201. Publication Type: Journal Article AU - May, Brian H. AU - Zhang, Anthony AU - Lu, Yubo AU - Lu, Chuanjian AU - Xue, Charlie C. L. DA - 2014/12// DB - c8h DO - 10.1089/acm.2013.0372 DP - EBSCOhost IS - 12 J2 - Journal of Alternative & Complementary Medicine KW - Alternative Therapies Citation Analysis Coding Data Mining -- Utilization Descriptive Statistics Drug Design Funding Source Human Literature -- Evaluation Literature Searching -- Methods Medicine, Chinese Traditional -- History Medicine, Chinese Traditional -- Trends Nomenclature Professional Practice, Evidence-Based Reference Books -- Evaluation Systematic review L1 - internal-pdf://0719885385/acm%252E2013%252E0372.pdf N1 - research; systematic review; tables/charts. Journal Subset: Alternative/Complementary Therapies; Editorial Board Reviewed; Expert Peer Reviewed; Peer Reviewed; USA. Special Interest: Evidence-Based Practice. Grant Information: The project was partially supported by an International Grant from the Guangdong Provincial Academy of Chinese Medical Sciences, Guangdong Province, China.. NLM UID: 9508124. PY - 2014 SN - 1075-5535 SP - 937-942 ST - The Systematic Assessment of Traditional Evidence from the Premodern Chinese Medical Literature: A Text-Mining Approach T2 - Journal of Alternative & Complementary Medicine TI - The Systematic Assessment of Traditional Evidence from the Premodern Chinese Medical Literature: A Text-Mining Approach UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=103926758&scope=site VL - 20 ID - 391 ER - TY - JOUR AB - In order to support the theory and practice of the web-based cancer database development in China, we applied a systematic evaluation to assess the development condition of the web-based cancer databases at home and abroad. We performed computer-based retrieval of the Ovid-MEDLINE, Springerlink, EBSCOhost, Wiley Online Library and CNKI databases, the papers of which were published between Jan. 1995 and Dec. 2011, and retrieved the references of these papers by hand. We selected qualified papers according to the pre-established inclusion and exclusion criteria, and carried out information extraction and analysis of the papers. Eventually, searching the online database, we obtained 1244 papers, and checking the reference lists, we found other 19 articles. Thirty-one articles met the inclusion and exclusion criteria and we extracted the proofs and assessed them. Analyzing these evidences showed that the U.S.A. counted for 26% in the first place. Thirty-nine percent of these web-based cancer databases are comprehensive cancer databases. As for single cancer databases, breast cancer and prostatic cancer are on the top, both counting for 10% respectively. Thirty-two percent of the cancer database are associated with cancer gene information. For the technical applications, MySQL and PHP applied most widely, nearly 23% each. AU - Huang, Tingting AU - Liu, Jialin AU - Li, Yong AU - Zhang, Rui DA - 2013/10//undefined IS - 5 J2 - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi KW - *Internet *Neoplasms Databases, Bibliographic Databases, Factual/*standards Humans Information Storage and Retrieval/*methods Randomized Controlled Trials as Topic LA - chi PY - 2013 SN - 1001-5515 1001-5515 SP - 946-951 ST - [A systematic evaluation of application of the web-based cancer database] T2 - Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi TI - [A systematic evaluation of application of the web-based cancer database] VL - 30 ID - 106 ER - TY - JOUR AB - INTRODUCTION: Meta-analyses have been suggested to be the highest form of evidence available to clinicians to guide clinical practice in dental care. High methodologic quality is a prerequisite for valid interpretation and application of review findings. However, meta-analyses are complex exercises, and assessing quality can be a daunting task. Clinicians and policymakers require guidance, which is not provided adequately by the available literature on the quality of meta-analyses. The purpose of this study was to systematically evaluate the quality of meta-analyses that address topics pertinent to endodontics. METHODS: To identify potentially eligible meta-analyses for inclusion, systematic searches performed in MEDLINE and the Cochrane Database of Systematic Reviews were enriched by hand searches, citation mining, and expert recommendation. Comprehensive search strategies were constructed for electronic searches. Predetermined inclusion criteria were applied to each identified meta-analysis independently by two reviewers. To assess report quality, the included meta-analyses were assessed by using A Measurement Tool to Assess Systematic Reviews (AMSTAR). RESULTS: A total of 16 reports of meta-analyses were included (kappa = 0.96). The overall quality of reports of meta-analyses was found to be high, with an estimated mean overall AMSTAR score of 8.33 out of 11 (95% confidence interval, 7.62-8.88). The weakest areas within the included meta-analyses were failure to report the likelihood of publication bias. CONCLUSIONS: The overall quality of the reports of meta-analyses available in endodontics is high according to AMSTAR. AU - Suebnukarn, Siriwan AU - Ngamboonsirisingh, Sureeporn AU - Rattanabanlang, Angwara DA - 2010/04//undefined DO - 10.1016/j.joen.2009.12.019 IS - 4 J2 - J Endod KW - *Endodontics *Meta-Analysis as Topic Guidelines as Topic Humans Review Literature as Topic LA - eng PY - 2010 SN - 1878-3554 0099-2399 SP - 602-608 ST - A systematic evaluation of the quality of meta-analyses in endodontics T2 - Journal of endodontics TI - A systematic evaluation of the quality of meta-analyses in endodontics VL - 36 ID - 30 ER - TY - JOUR AB - Introduction: Meta-analyses have been suggested to be the highest form of evidence available to clinicians to guide clinical practice in dental care. High methodologic quality is a prerequisite for valid interpretation and application of review findings. However, meta-analyses are complex exercises, and assessing quality can be a daunting task. Clinicians and policymakers require guidance, which is not provided adequately by the available literature on the quality of meta-analyses. The purpose of this study was to systematically evaluate the quality of meta-analyses that address topics pertinent to endodontics. Methods: To identify potentially eligible meta-analyses for inclusion, systematic searches performed in MEDLINE and the Cochrane Database of Systematic Reviews were enriched by hand searches, citation mining, and expert recommendation. Comprehensive search strategies were constructed for electronic searches. Predetermined inclusion criteria were applied to each identified meta-analysis independently by two reviewers. To assess report quality, the included meta-analyses were assessed by using A Measurement Tool to Assess Systematic Reviews (AMSTAR). Results: A total of 16 reports of meta-analyses were included (kappa = 0.96). The overall quality of reports of meta-analyses was found to be high, with an estimated mean overall AMSTAR score of 8.33 out of 11 (95% confidence interval, 7.62-8.88). The weakest areas within the included meta-analyses were failure to report the likelihood of publication bias. Conclusions: The overall quality of the reports of meta-analyses available in endodontics is high according to AMSTAR. (I Endod 2010;36:602-608) AU - Suebnukarn, Siriwan AU - Ngamboonsirisingh, Sureeporn AU - Rattanabanlang, Angwara DA - 2010/04// DO - 10.1016/j.joen.2009.12.019 IS - 4 PY - 2010 SN - 0099-2399 SP - 602-608 ST - A Systematic Evaluation of the Quality of Meta-analyses in Endodontics T2 - Journal of Endodontics TI - A Systematic Evaluation of the Quality of Meta-analyses in Endodontics VL - 36 ID - 1893 ER - TY - JOUR AU - Carpenter, Anne E. AU - Sabatini, David M. DA - 2004 DP - Google Scholar IS - 1 L1 - internal-pdf://0389040743/Carpenter-2004-Systematic genome-wide screens.pdf PY - 2004 SP - 11-22 ST - Systematic genome-wide screens of gene function T2 - Nature Reviews Genetics TI - Systematic genome-wide screens of gene function UR - http://www.nature.com/nrg/journal/v5/n1/abs/nrg1248.html http://status.nature.com/ http://www.nature.com.ezproxy.lib.vt.edu/nrg/journal/v5/n1/pdf/nrg1248.pdf VL - 5 Y2 - 2016/09/24/16:06:07 ID - 2422 ER - TY - JOUR AB - Background Oropharyngeal colonization with pathogenic organisms contributes to the development of ventilator-associated pneumonia in intensive care units. Although considered basic and potentially nonessential nursing care, oral hygiene has been proposed as a key intervention for reducing ventilator-associated pneumonia. Nevertheless, evidence from randomized controlled trials that could inform best practice is limited. Objective To appraise the peer-reviewed literature to deter mine the best available evidence for providing oral care to intensive care patients receiving mechanical ventilation and to document a research agenda for this important activity in optimizing patients' outcomes. Methods Articles published from 1985 to 2006 in English and indexed in the CINAHL, MEDLINE, Joanna Briggs Institute, Cochrane Library, EMBASE, and DARE databases were searched by using the key terms oral hygiene, oral hygiene practices, oral care, mouth care, mouth hygiene, intubated, mechanically ventilated, intensive care, and critical care. Reference lists of retrieved journal articles were searched for publications missed during the primary search. Finally, the Google search engine was used to do a comprehensive search of the World Wide Web to ensure completeness of the search. The search strategy was verified by a health librarian. Results The search yielded 55 articles: 11 prospective controlled trials, 20 observational studies, and 24 descriptive reports. Methodological issues and the heterogeneity of. Samples precluded meta-analysis. Conclusions Despite the importance of providing oral hygiene to intensive care patients receiving mechanical ventilation, highs level evidence from rigorous randomized controlled trials or high-quality systematic reviews that could inform clinical practice is scarce. AU - Berry, Angela M. AU - Davidson, Patricia M. AU - Masters, Janet AU - Rolls, Kaye DA - 2007/11// IS - 6 L1 - internal-pdf://4098439587/Berry-2007-Systematic literature review of ora.pdf PY - 2007 SN - 1062-3264 SP - 552-562 ST - Systematic literature review of oral hygiene practices for intensive care patients receiving mechanical ventilation T2 - American Journal of Critical Care TI - Systematic literature review of oral hygiene practices for intensive care patients receiving mechanical ventilation UR - http://ajcc.aacnjournals.org/content/16/6/552.full.pdf VL - 16 ID - 1956 ER - TY - CONF AB - Context: Personnel assignment (PA) is an important problem in industry. In general it is about assigning the right people to the right tasks. Operations research plays a big role in solving such problems. Objective: In this paper, we study the personnel assignment problem (PAP) and the proposed solutions to solve it. In addition to that, we aim to identify promising future works from the study results. Methods: We take a systematic approach towards studying the literature of the PAP. A general systematic review method, which has been recently used by a number of researchers in the field of software engineering, was modified and deployed in this study. Results: The analysis results reveal potential solution approaches, the trends in application of existing solution methods, and some potential future research areas. The review process is based on our variation of an existing literature review method. This variation is also presented in the paper. Conclusions: Although a concern in industry, PAP has not been widely studied when compared to other similar fields of research. It has been mainly studied in operations research and in the context of military personnel assignments. It seems that artificial intelligence and machine learning still have a good potential to contribute to this field of research in different applications. Application of PAP in software engineering (SE) is an open area of research. For instance, it looks promising for developer or bug assignments in software development projects. AU - Niknafs, Arash AU - Denzinger, Jorg AU - Ruhe, Gunther C3 - International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013, March 13, 2013 - March 15, 2013 DA - 2013 KW - artificial intelligence Combinatorial optimization Operations research Personnel Research software engineering N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Newswood Limited PY - 2013 SN - 20780958 SP - 1121-1128 ST - A systematic literature review of the personnel assignment problem T3 - Lecture Notes in Engineering and Computer Science TI - A systematic literature review of the personnel assignment problem VL - 2203 ID - 570 ER - TY - JOUR AB - Use cases have been widely accepted and acknowledged as a specification tool for specifying the functional requirements of a software system. Many variations of use cases exist which tries to address the issues such as their completeness, degree of formalism, automated information extraction, usability, and pertinence.The aim of this systematic review is to examine the existing literature for the evolution of the use cases, their applications, quality assessments, open issues, and the future directions.We perform keyword-based extensive search to identify the relevant studies related to use case specifications research reported in journal articles, conference papers, workshop papers, bulletins and book chapters.The specified search process resulted 119 papers, which were published between 1992 and February 2014. This included, 54 journal articles, 42 conference papers, 2 ACM/IEEE bulletins, 12 book chapters, 6 workshop papers and 3 white papers. We found that as many as twenty use case templates have been proposed and applied for various software specification problems ranging from informal descriptions with paragraph-style text to more formal keyword-oriented templates.Use cases have been evolved from initial plain, semi-formal textual descriptions to a more formal template structure facilitating automated information extraction in various software development life cycle activities such as requirement documentation, requirement analysis, requirement validation, domain modeling, test case generation, planning and estimation, and maintenance. The issues that remain to be sorted out are (1) the right degree of formalism, (2) the efficient change management, (3) the industrial relevance, and (4) assessment of the quality of the specification. Additionally, its synergy with other software models that are used in the development processes is an issue that needs to be addressed. [All rights reserved Elsevier]. AU - Tiwari, S. AU - Gupta, A. DA - 2015/11// DO - 10.1016/j.infsof.2015.06.004 J2 - Information and Software Technology KW - formal specification management of change software quality software tools PY - 2015 SN - 0950-5849 SP - 128-58 ST - A systematic literature review of use case specifications research T2 - Information and Software Technology TI - A systematic literature review of use case specifications research UR - http://dx.doi.org/10.1016/j.infsof.2015.06.004 VL - 67 ID - 480 ER - TY - JOUR AB - Using text mining techniques to perform systematic literature reviews means reviews can be completed quickly and more effectively. ST - Systematic Literature Reviews T2 - Text Mining Solutions TI - Systematic Literature Reviews UR - http://www.textminingsolutions.co.uk/systematic-literature-reviews.html Y2 - 2016/09/24/20:49:58 ID - 2501 ER - TY - JOUR AU - Kitchenham, Barbara AU - Pretorius, Rialette AU - Budgen, David AU - Brereton, O. Pearl AU - Turner, Mark AU - Niazi, Mahmood AU - Linkman, Stephen DA - 2010 DP - Google Scholar IS - 8 L1 - http://www.cin.ufpe.br/~in1037/leitura/Kitchenham%202010%20-%20tertiary%20study.pdf PY - 2010 SP - 792-805 ST - Systematic literature reviews in software engineering–a tertiary study T2 - Information and Software Technology TI - Systematic literature reviews in software engineering–a tertiary study UR - http://www.sciencedirect.com/science/article/pii/S0950584910000467 VL - 52 Y2 - 2016/09/24/15:37:30 ID - 2365 ER - TY - JOUR AU - Felizardo, Katia R. AU - MacDonell, Stephen G. AU - Mendes, Emília AU - Maldonado, José Carlos DA - 2012 DP - Google Scholar IS - 2 L1 - https://aut.researchgateway.ac.nz/bitstream/handle/10292/3598/Felizardo,%20MacDonell,%20Mendes%20and%20Maldonado%20(2012)%20JSw.pdf?sequence=2&isAllowed=y PY - 2012 SP - 450-461 ST - A systematic mapping on the use of visual data mining to support the conduct of systematic literature reviews T2 - Journal of Software TI - A systematic mapping on the use of visual data mining to support the conduct of systematic literature reviews VL - 7 ID - 2437 ER - TY - JOUR AB - The wide variety of readily available electronic media grants anyone the freedom to retrieve published references from almost any area of research around the world. Despite this privilege, keeping up with primary research evidence is almost impossible because of the increase in professional publishing across disciplines. Systematic reviews are a solution to this problem as they aim to synthesize all current information on a particular topic and present a balanced and unbiased summary of the findings. They are fast becoming an important method of research across a number of fields, yet only a small number of guidelines exist on how to define and select terms for a systematic search. This article presents a replicable method for selecting terms in a systematic search using the semantic concept recognition software called leximancer (Leximancer, University of Queensland, Brisbane, Australia). We use this software to construct a set of terms from a corpus of literature pertaining to transborder interventions for drug control and discuss the applicability of this method to systematic reviews in general. This method aims to contribute a more 'systematic' approach for selecting terms in a manner that is entirely replicable for any user. AU - Thompson, Jenna AU - Davis, Jacqueline AU - Mazerolle, Lorraine DA - 2014/06//undefined DO - 10.1002/jrsm.1096 IS - 2 J2 - Res Synth Methods KW - *Natural Language Processing *Periodicals as Topic *Review Literature as Topic *Software Data Mining/*methods machine learning Pattern Recognition, Automated Research Design Search Engine/*methods Semantics Systematic review systematic search term Vocabulary, Controlled L1 - internal-pdf://3829176424/Thompson_et_al-2014-Research_Synthesis_Methods.pdf LA - eng PY - 2014 SN - 1759-2887 1759-2879 SP - 87-97 ST - A systematic method for search term selection in systematic reviews T2 - Research synthesis methods TI - A systematic method for search term selection in systematic reviews VL - 5 ID - 80 ER - TY - JOUR ST - Systematic Review (SR) Toolbox TI - Systematic Review (SR) Toolbox UR - http://systematicreviewtools.com/addtool.php Y2 - 2016/09/24/20:39:48 ID - 2485 ER - TY - JOUR AB - Information extraction (IE) is the task of automatically extracting structured information from unstructured/semi-structured machine-readable documents. Among various IE tasks, extracting actionable intelligence from an ever-increasing amount of data depends critically upon cross-document coreference resolution (CDCR) - the task of identifying entity mentions across information sources that refer to the same underlying entity. CDCR is the basis of knowledge acquisition and is at the heart of Web search, recommendations, and analytics. Real time processing of CDCR processes is very important and have various applications in discovering must-know information in real-time for clients in finance, public sector, news, and crisis management. Being an emerging area of research and practice, the reported literature on CDCR challenges and solutions is growing fast but is scattered due to the large space, various applications, and large datasets of the order of peta-/tera-bytes. In order to fill this gap, we provide a systematic review of the state of the art of challenges and solutions for a CDCR process. We identify a set of quality attributes, that have been frequently reported in the context of CDCR processes, to be used as a guide to identify important and outstanding issues for further investigations. Finally, we assess existing tools and techniques for CDCR subtasks and provide guidance on selection of tools and algorithms. 2016 Springer-Verlag Wien AU - Beheshti, Seyed-Mehdi-Reza AU - Benatallah, Boualem AU - Venugopal, Srikumar AU - Ryu, Seung Hwan AU - Motahari-Nezhad, Hamid Reza AU - Wang, Wei DA - 2016 DO - 10.1007/s00607-016-0490-0 KW - data mining Information analysis information retrieval World Wide Web L1 - internal-pdf://3991477016/art%253A10.1007%252Fs00607-016-0490-0.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 0010485X SP - 1-37 ST - A systematic review and comparative analysis of cross-document coreference resolution methods and tools TI - A systematic review and comparative analysis of cross-document coreference resolution methods and tools UR - http://dx.doi.org/10.1007/s00607-016-0490-0 ID - 1348 ER - TY - CONF AU - Blanco, Carlos AU - Lasheras, Joaquin AU - Valencia-García, Rafael AU - Fernández-Medina, Eduardo AU - Toval, Ambrosio AU - Piattini, Mario C3 - Availability, Reliability and Security, 2008. ARES 08. Third International Conference on DA - 2008 DP - Google Scholar L1 - https://pdfs.semanticscholar.org/907b/d4151d1a37260a32983a9ff7ae3f3a2c42ca.pdf PB - Ieee PY - 2008 SP - 813-820 ST - A systematic review and comparison of security ontologies TI - A systematic review and comparison of security ontologies UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4529428 http://ieeexplore.ieee.org/document/4529428/ Y2 - 2016/09/24/16:09:17 ID - 2456 ER - TY - JOUR AB - BACKGROUND: Our systematic review summarizes the evidence concerning the accuracy of serum diagnostic and prognostic tests for colorectal cancer (CRC). METHODS: The databases MEDLINE and EMBASE were searched iteratively to identify the relevant literature for serum markers of CRC published from 1950 to August 2012. The articles that provided adequate information to meet the requirements of the meta-analysis of diagnostic and prognostic markers were included. A 2-by-2 table of each diagnostic marker and its hazard ratio (HR) and the confidence interval (CI) of each prognostic marker was directly or indirectly extracted from the included papers, and the pooled sensitivity and specificity of the diagnostic marker and the pooled HR and the CI of the prognostic marker were subsequently calculated using the extracted data. RESULTS: In total, 104 papers related to the diagnostic markers and 49 papers related to the prognostic serum markers of CRC were collected, and only 19 of 92 diagnostic markers were investigated in more than two studies, whereas 21 out of 44 prognostic markers were included in two or more studies. All of the pooled sensitivities of the diagnostic markers with > = 3 repetitions were less than 50%, and the meta-analyses of the prognostic markers with more than 3 studies were performed, VEGF with highest (2.245, CI: 1.347-3.744) and MMP-7 with lowest (1.099, CI: 1.018-1.187)) pooled HRs are presented. CONCLUSIONS: The quality of studies addressing the diagnostic and prognostic accuracy of the tests was poor, and the results were highly heterogeneous. The poor characteristics indicate that these tests are of little value for clinical practice. AU - Liu, Zhongyu AU - Zhang, Yingchong AU - Niu, Yulong AU - Li, Ke AU - Liu, Xin AU - Chen, Huijuan AU - Gao, Chunfang DA - 2014 DO - 10.1371/journal.pone.0103910 IS - 8 J2 - PLoS One KW - Biomarkers/*blood Colorectal Neoplasms/*blood/*diagnosis data mining Humans Likelihood Functions Odds Ratio Prognosis Reproducibility of results Sensitivity and specificity LA - eng PY - 2014 SN - 1932-6203 1932-6203 SP - e103910 ST - A systematic review and meta-analysis of diagnostic and prognostic serum biomarkers of colorectal cancer T2 - PloS one TI - A systematic review and meta-analysis of diagnostic and prognostic serum biomarkers of colorectal cancer VL - 9 ID - 17 ER - TY - JOUR ST - Systematic Review Assistant TI - Systematic Review Assistant UR - http://www.datamining.org.uk/sysreview.html Y2 - 2016/09/24/20:48:59 ID - 2499 ER - TY - JOUR AB - Heavy metal accumulation in the food chain is an issue of global concern because it eventually leads to toxic effects on humans through the water we drink, contaminated soils, crops, and animals. Reports of toxicant levels in environmental media (air, water, and soil) and biota in Ghana were sought in SCOPUS, PubMed, MEDLINE, and EMBASE. Of 1004 bibliographic records identified, 54 studies were included in evidence synthesis. A disproportionately large number of papers (about 80%) focused exclusively on environmental media. Papers focusing on biomonitoring and human health were relatively few. Studies reported a high degree of spatial variability for the concentrations of 8 metals in groundwater. Generally, heavy metal concentrations in soil reported by the studies reviewed were higher than metal concentrations in riverine sediments. Urine and hair were the most common biological markers of heavy metal exposure used by the studies reviewed unlike nails, which were sparingly used. By and large, published results on the levels of heavy metals in goldmine and non-mine workers yielded contradictory results. Mostly, concentrations of heavy metals reported by the studies reviewed for nails were higher than for hair. A high degree of variability in the heavy metal concentrations in human subjects in the studies reviewed is likely due to heterogeneity in physiological states, excretion profiles, and body burdens of individuals. These, in turn, may be a product of genetic polymorphisms influencing detoxification efficiency. AU - Armah, F. A. AU - Quansah, R. AU - Luginaah, I. DA - 2014 DO - 10.1155/2014/252148 J2 - International Scholarly Research Notices KW - Anthropometry Gold health hazards industrial pollution mining industry Toxicology L1 - internal-pdf://0352406219/Armah-2014-A Systematic Review of Heavy Metals.pdf PY - 2014 SN - 2356-7872 SP - 252148-(37 pp.) ST - A Systematic Review of Heavy Metals of Anthropogenic Origin in Environmental Media and Biota in the Context of Gold Mining in Ghana T2 - International Scholarly Research Notices TI - A Systematic Review of Heavy Metals of Anthropogenic Origin in Environmental Media and Biota in the Context of Gold Mining in Ghana UR - http://dx.doi.org/10.1155/2014/252148 http://downloads.hindawi.com/journals/isrn/2014/252148.pdf ID - 1474 ER - TY - JOUR AB - Background: Modafinil is a novel wake-promoting agent that has U.S. Food and Drug Administration approval for narcolepsy and shift work sleep disorder and as adjunctive treatment of obstructive sleep apnea/hypopnea syndrome. Modafinil has a novel mechanism and is theorized to work in a localized manner, utilizing hypocretin, histamine, epinephrine, gamma-aminobutyric acid, and glutamate. It is a well-tolerated medication with low propensity for abuse and is frequently used for off-label indications. The objective of this study was to systematically review the available evidence supporting the clinical use of modafinil. Data Sources: The search term modafinil OR Provigil was searched on PubMed. Selected articles were mined for further potential sources of data. Abstracts from major scientific conferences were reviewed. Lastly, the manufacturer of modafinil in the United States was asked to provide all publications, abstracts, and unpublished data regarding studies of modafinil. Data Synthesis: There have been 33 double-blind, placebo-controlled trials of modafinil. Additionally, numerous smaller studies have been performed, and case reports of modafinil's use abound in the literature. Conclusions: Modafinil is a promising drug with a large potential for many uses in psychiatry and general medicine. Treating daytime sleepiness is complex, and determining the precise nature of the sleep disorder is vital. Modafinil may be an effective agent in many sleep conditions. To date, the strongest evidence among off-label uses exists for the use of modafinil in attention-deficit disorder, postanesthetic sedation, and cocaine dependence and withdrawal and as an adjunct to antidepressants for depression. AU - Ballon, J. S. AU - Feifel, D. DA - 2006/04// IS - 4 PY - 2006 SN - 0160-6689 SP - 554-566 ST - A systematic review of modafinil: Potential clinical uses and mechanisms of action T2 - Journal of Clinical Psychiatry TI - A systematic review of modafinil: Potential clinical uses and mechanisms of action UR - http://www.psychiatrist.com/jcp/article/pages/2006/v67n04/v67n0406.aspx VL - 67 ID - 2220 ER - TY - CONF AB - Background: Patient medical records contain many entries relating to patient conditions, treatments and lab results. Generally involve multiple types of data and produces a large amount of information. These databases can provide important information for clinical decision and to support the management of the hospital. Medical databases have some specificities not often found in others non-medical databases. In this context, outlier detection techniques can be used to detect abnormal patterns in health records (for instance, problems in data quality) and this contributing to better data and better knowledge in the process of decision making. Aim: This systematic review intention to provide a better comprehension about the techniques used to detect outliers in healthcare data, for creates automatisms for those methods in the order to facilitate the access to information with quality in healthcare. Methods: The literature was systematically reviewed to identify articles mentioning outlier detection techniques or anomalies in medical data. Four distinct bibliographic databases were searched: Medline, ISI, IEEE and EBSCO. Results: From 4071 distinct papers selected, 80 were included after applying inclusion and exclusion criteria. According to the medical specialty 32% of the techniques are intended for oncology and 37% of them using patient data. Considering only articles that used administrative medical data, 59% of the techniques were statistical based. Conclusion: The area with outliers detection techniques most widely used in medical administrative data is the statistics, when compared with techniques from data mining such as clustering and nearest neighbor. AU - Gaspar, Juliano AU - Catumbela, Emanuel AU - Marques, Bernardo AU - Freitas, Alberto C3 - International Conference on Health Informatics, HEALTHINF 2011, January 26, 2011 - January 29, 2011 DA - 2011 KW - Database systems data mining decision making Health Health care Hospital data processing Information services medical computing Statistics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - INSTICC Press PY - 2011 SP - 575-582 ST - A systematic review of outliers detection techniques in medical data: Preliminary study T3 - HEALTHINF 2011 - Proceedings of the International Conference on Health Informatics TI - A systematic review of outliers detection techniques in medical data: Preliminary study ID - 1402 ER - TY - JOUR AU - Thoemmes, Felix J. AU - Kim, Eun Sook DA - 2011 DP - Google Scholar IS - 1 L1 - http://moderngraphics11.pbworks.com/w/file/fetch/38535876/Thoemmes%20%26%20Kim%20(2011)%20A%20systematic%20review%20of%20propensity%20score%20methods%20in%20the%20social%20sciences.pdf PY - 2011 SP - 90-118 ST - A systematic review of propensity score methods in the social sciences T2 - Multivariate Behavioral Research TI - A systematic review of propensity score methods in the social sciences UR - http://www.tandfonline.com/doi/abs/10.1080/00273171.2011.540475 VL - 46 Y2 - 2016/09/24/16:08:30 ID - 2448 ER - TY - JOUR AB - The aim of this study was to perform a systematic review of economic evaluations (EEs) of dental caries prevention programs to objectively retrieve, synthesize and describe available information on the field. Several strategies were combined to search for literature published between January 1975 and April 2012. MEDLINE, EconoLit and ISI formed the basis of the literature search. The study selection was done using predefined inclusion and exclusion criteria. Bibliographic listings of all retrieved articles were hand-searched. The search identified 206 references. An evaluative framework was developed based on the Centre for Reviews and Dissemination's 'Guidance for undertaking reviews in health care' (York University, 2009). Background information included publication vehicle, year of publication, geographic focus, type of preventive program and type of economic analysis. 63 studies were included in the review. The most common preventive strategies evaluated were dental sealants (n = 13), water fluoridation (n = 12) and mixed interventions (n = 12). By type of EE undertaken, 30 were cost-effectiveness analyses, 22 were cost-benefit analyses, and 5 presented both cost-effectiveness and cost-benefit analyses. Few studies were cost-utility analyses (n = 5) or cost minimization analyses (n = 2). By year of publication, most were published after 2003. The review revealed that, although the number of publications reporting EEs has increased significantly in recent years, the quality of the reporting needs to be improved. The main methodological problems identified in the review were the limited information provided on adjustments for discounting in addition to inadequate sensitivity analyses. Attention also needs to be given to the analysis and interpretation of the results of the EEs. AU - Marino, R. J. AU - Khan, A. R. AU - Morgan, M. DA - 2013 DO - 10.1159/000346917 IS - 4 J2 - Caries Res KW - Cost-Benefit Analysis Data Interpretation, Statistical data mining Dental Caries/*economics/*prevention & control Evaluation Studies as Topic Fluoridation/economics Humans Pit and Fissure Sealants/economics Preventive Dentistry/*economics LA - eng PY - 2013 SN - 1421-976X 0008-6568 SP - 265-272 ST - Systematic review of publications on economic evaluations of caries prevention programs T2 - Caries research TI - Systematic review of publications on economic evaluations of caries prevention programs VL - 47 ID - 176 ER - TY - JOUR AB - The use of multimodal treatments for rectal cancer has improved cancer-related outcomes but makes monitoring toxicity challenging. Optimizing future radiation therapy regimens requires collection and publication of detailed toxicity data. This review evaluated the quality of toxicity information provided in randomized controlled trials (RCTs) of radiation therapy in rectal cancer and focused on the difference between clinician-reported and patient-reported toxicity. Medline, EMBASE, and the Cochrane Library were searched (January 1995-July 2013) for RCTs reporting late toxicity in patients treated with regimens including preoperative (chemo)radiation therapy. Data on toxicity measures and information on toxicity reported were extracted using Quantitative Analyses of Normal Tissue Effects in the Clinic recommendations. International Society for Quality of Life Research standards on patient-reported outcomes (PROs) were used to evaluate the quality of patient-reported toxicity. Twenty-one RCT publications met inclusion criteria out of 4144 articles screened. All PRO studies reported higher rates of toxicity symptoms than clinician-reported studies and reported on a wider range and milder symptoms. No clinician-reported study published data on sexual dysfunction. Of the clinician-reported studies, 55% grouped toxicity data related to an organ system together (eg "Bowel"), and 45% presented data only on more-severe (grade 3) toxicity. In comparison, all toxicity grades were reported in 79% of PRO publications, and all studies (100%) presented individual symptom toxicity data (eg bowel urgency). However, PRO reporting quality was variable. Only 43% of PRO studies presented baseline data, 28% did not use any psychometrically validated instruments, and only 29% of studies described statistical methods for managing missing data. Analysis of these trials highlights the lack of reporting standards for adverse events and reveals the differences between clinician and patient reporting of toxicity. Recommendations for improving the quality of adverse event data collection are provided, with the aim of improving critical appraisal of outcomes for future studies. 2015 Elsevier Inc. All rights reserved. AU - Gilbert, Alexandra AU - Ziegler, Lucy AU - Martland, Maisie AU - Davidson, Susan AU - Efficace, Fabio AU - Sebag-Montefiore, David AU - Velikova, Galina DA - 2015 DO - 10.1016/j.ijrobp.2015.02.021 IS - 3 J2 - International Journal of Radiation Oncology Biology Physics KW - data mining Diseases Patient monitoring Patient treatment Publishing Quality Control Radiotherapy Toxicity L1 - internal-pdf://0698312496/Gilbert-2015-Systematic review of radiation th.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 03603016 SP - 555-567 ST - Systematic review of radiation therapy toxicity reporting in randomized controlled trials of rectal cancer: A comparison of patient-reported outcomes and clinician toxicity reporting T2 - International Journal of Radiation Oncology Biology Physics TI - Systematic review of radiation therapy toxicity reporting in randomized controlled trials of rectal cancer: A comparison of patient-reported outcomes and clinician toxicity reporting UR - http://dx.doi.org/10.1016/j.ijrobp.2015.02.021 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0360301615001996/1-s2.0-S0360301615001996-main.pdf?_tid=30f46704-8336-11e6-a140-00000aab0f02&acdnat=1474818125_b79ff3a8ace781969fcc57800176a245 VL - 92 ID - 1347 ER - TY - JOUR AU - El Emam, Khaled AU - Jonker, Elizabeth AU - Arbuckle, Luk AU - Malin, Bradley DA - 2011 DP - Google Scholar IS - 12 L1 - internal-pdf://0646755199/El Emam-2011-A systematic review of re-identif.pdf PY - 2011 SP - e28071 ST - A systematic review of re-identification attacks on health data T2 - PloS one TI - A systematic review of re-identification attacks on health data UR - http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0028071 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3229505/pdf/pone.0028071.pdf VL - 6 Y2 - 2016/09/24/16:07:04 ID - 2433 ER - TY - JOUR AB - It is widely known that intentional non-malevolent violations of safety procedures and norms occur and evidence shows that safety violations can increase the risk of accidents. However, little research about the causes of these violations in work settings exists. To help shed light on the causes, this paper systematically reviews the empirical causes of safety violations in industry. Electronic database literature searches were performed to identify relevant articles published prior to January 1, 2007. Thirteen articles met the inclusion criteria and 57 different variables were examined as predictors of safety violations. Study settings were healthcare delivery, commercial driving, aviation, mining, railroad, and construction. The predictors were categorized into individual characteristics, information/education/training, design to support worker needs, safety climate, competing goals, and problems with rules. None of the reviewed studies examined whether violations can improve system performance or safety. Methodological suggestions and a macroergonomic framework are offered for improving future studies of the epidemiology of safety violations. 2009 Elsevier Ltd. All rights reserved. AU - Alper, Samuel J. AU - Karsh, Ben-Tzion DA - 2009 DO - 10.1016/j.aap.2009.03.013 IS - 4 J2 - Accident Analysis and Prevention KW - Customer satisfaction Law enforcement mining Occupational risks Railroad accidents Systems analysis Systems engineering L1 - internal-pdf://3616831742/Alper-2009-A systematic review of safety viola.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2009 SN - 00014575 SP - 739-754 ST - A systematic review of safety violations in industry T2 - Accident Analysis and Prevention TI - A systematic review of safety violations in industry UR - http://dx.doi.org/10.1016/j.aap.2009.03.013 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S000145750900061X/1-s2.0-S000145750900061X-main.pdf?_tid=93a677a2-832c-11e6-a37d-00000aacb360&acdnat=1474813996_15f22b9830e9a17397fc65426a53d7f2 VL - 41 ID - 1021 ER - TY - JOUR AB - To assess the efficacy and safety of Shenfu injection for septic shock. All clinical studies of Shenfu injection for septic shock were searched from Cochrane library, Medline, EMbase, CBM, CNKI, Wanfang and VIP. Quality assessment and information extraction were done by two independent screening. The quality of the included documents was evaluated by the Cochrane Collaboration's tool for assessing risk of bias and allocation concealment. Revman 5. 1. 4 software was used for data analysis. A total of 6 randomized controlled trials were included (499 patients), in which, 6 studies did not mention allocation concealment, blind and loss-up information. Meta-analysis showed that the Shenfu injection group was better than the conventional treatment group in SBP (OR = 9.00, 95% Cl [3.89, 14.11]; OR = 20.28, 95% Cl [16.46, 24.10], respectively) and DBP (OR = 11.25, 95% Cl [7.65, 14.85]; OR = 8.17, 95% Cl [5.21, 11.13], respectively); in improving shock symptom (OR = 4.60, 95% Cl [1.88, 11.28]; OR = 0.88, 95% Cl [0.16, 4.87]; OR = 1.02, 95% Cl [0.27, 3.93]; OR = 1.65, 95% Cl [0.42, 6.42]) and reducing HR (OR = -29.71, 95% Cl [-40.51, -18.91]; OR = -18.00, 95% Cl [-27.16, -8.84]), (OR = 8.00, 95% Cl [1.96, 14.04]), there was inconsistency between the two groups; the Shenfu injection group showed no advantage in MAP (OR = -0.10, 95% Cl [-2.34, 2.14]) and CI (OR = 0.00, 95% Cl [- 1.24, 1.24]). ADR/AE information of Shenfu injection was not fully reported. This study may exist publication bias. Shenfu injection on the basis of conventional treatment can improve blood pressure of the treatment of septic shock; we can not get a positive conclusion in improving shock symptom and HR. Also, due to the sample size of included studies were small and of lower quality, conclusions above still need high-qualitied randomized, double-blind, controlled trials be confirmed. AU - Hu, Jing AU - Fu, Zi-Yi AU - Xie, Yan-Ming AU - Wang, Jing AU - Wang, Wei-Wei AU - Liao, Xing DA - 2013/09//undefined IS - 18 J2 - Zhongguo Zhong Yao Za Zhi KW - Adult Aged Drugs, Chinese Herbal/*administration & dosage/adverse effects Female Humans Male Middle Aged Shock, Septic/*drug therapy Treatment Outcome Young Adult LA - chi PY - 2013 SN - 1001-5302 1001-5302 SP - 3209-3214 ST - [Systematic review of shenfu injection for septic shock] T2 - Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica TI - [Systematic review of shenfu injection for septic shock] VL - 38 ID - 61 ER - TY - JOUR AU - Catal, Cagatay AU - Diri, Banu DA - 2009 DP - Google Scholar IS - 4 L1 - internal-pdf://1369602726/Catal-2009-A systematic review of software fau.pdf PY - 2009 SP - 7346-7354 ST - A systematic review of software fault prediction studies T2 - Expert systems with applications TI - A systematic review of software fault prediction studies UR - http://www.sciencedirect.com/science/article/pii/S0957417408007215 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0957417408007215/1-s2.0-S0957417408007215-main.pdf?_tid=0fd50ee4-8330-11e6-b2b5-00000aacb362&acdnat=1474815493_f46dedd4701535d79b8f2fd1d9fdc14c VL - 36 Y2 - 2016/09/24/16:00:21 ID - 2397 ER - TY - JOUR AB - The aim of this study was to systematically review the available literature on the levels, causes, and impact of stress among dental students. The investigators searched eight electronic databases: Medline, Medline in process, Psychinfo, ERIC, Embase, Cochrane Library, Web of Science, and SCOPUS. Two independent reviewers conducted the selection, data extraction, and quality appraisal for included studies. The investigators then coded both quantitative and qualitative studies using similar codes and pooled results from studies that used the Dental Environment Stress questionnaire to demonstrate dental students' stress levels. The search initially identified 4,720 studies, of which 124 studies were included in the final qualitative synthesis and twenty-one were included in the meta-analysis. Evidence from this research showed that dental students experience considerable amounts of stress during their training. This stress is mainly due to the demanding nature of the training. In addition, studies suggest adverse effects of elevated stress on students' health and well-being. Most of the available literature is based on cross-sectional studies; thus, future longitudinal studies are needed to follow students throughout their curriculum. In addition, further research needs to explore and test stress management interventions. AU - Elani, Hawazin W. AU - Allison, Paul J. AU - Kumar, Ritu A. AU - Mancini, Laura AU - Lambrou, Angella AU - Bedos, Christophe DA - 2014/02//undefined IS - 2 J2 - J Dent Educ KW - data mining dental education dental students Education, Dental Humans Social Environment stress Stress, Physiological/*physiology Stress, Psychological/*etiology Students, Dental/*psychology Systematic review L1 - internal-pdf://3190872425/Elani-2014-A systematic review of stress in de.pdf LA - eng PY - 2014 SN - 1930-7837 0022-0337 SP - 226-242 ST - A systematic review of stress in dental students T2 - Journal of dental education TI - A systematic review of stress in dental students UR - http://www.jdentaled.org/content/78/2/226.full.pdf VL - 78 ID - 54 ER - TY - JOUR AU - Burton, Wayne AU - Morrison, Alan AU - Maclean, Ross AU - Ruderman, Eric DA - 2006 DP - Google Scholar IS - 1 L1 - internal-pdf://2643543676/Burton-2006-Systematic review of studies of pr.pdf PY - 2006 SP - 18-27 ST - Systematic review of studies of productivity loss due to rheumatoid arthritis T2 - Occupational Medicine TI - Systematic review of studies of productivity loss due to rheumatoid arthritis UR - http://occmed.oxfordjournals.org/content/56/1/18.short http://occmed.oxfordjournals.org/content/56/1/18.full http://occmed.oxfordjournals.org/content/56/1/18.full.pdf VL - 56 Y2 - 2016/09/24/15:37:30 ID - 2357 ER - TY - JOUR AU - Kitchenham, Barbara AU - Brereton, Pearl DA - 2013 DP - Google Scholar IS - 12 L1 - http://romisatriawahono.net/lecture/rm/survey/research%20methodology/Kitchenham%20-%20Systematic%20Review%20Process%20Research%20-%202013.pdf PY - 2013 SP - 2049-2075 ST - A systematic review of systematic review process research in software engineering T2 - Information and software technology TI - A systematic review of systematic review process research in software engineering UR - http://www.sciencedirect.com/science/article/pii/S0950584913001560 VL - 55 Y2 - 2016/09/24/15:33:48 ID - 2322 ER - TY - JOUR AB - Background: Shortages of human resources for health (HRH) have severely hampered the rollout of antiretroviral therapy (ART) in sub-Saharan Africa. Current rollout models are hospital-and physician-intensive. Task shifting, or delegating tasks performed by physicians to staff with lower-level qualifications, is considered a means of expanding rollout in resource-poor or HRH-limited settings. Methods: We conducted a systematic literature review. Medline, the Cochrane library, the Social Science Citation Index, and the South African National Health Research Database were searched with the following terms: task shift*, balance of care, non-physician clinicians, substitute health care worker, community care givers, primary healthcare teams, cadres, and nurs* HIV. We mined bibliographies and corresponded with authors for further results. Grey literature was searched online, and conference proceedings searched for abstracts. Results: We found 2960 articles, of which 84 were included in the core review. 51 reported outcomes, including research from 10 countries in sub-Saharan Africa. The most common intervention studied was the delegation of tasks (especially initiating and monitoring HAART) from doctors to nurses and other non-physician clinicians. Five studies showed increased access to HAART through expanded clinical capacity; two concluded task shifting is cost effective; 9 showed staff equal or better quality of care; studies on non-physician clinician agreement with physician decisions was mixed, with the majority showing good agreement. Conclusions: Task shifting is an effective strategy for addressing shortages of HRH in HIV treatment and care. Task shifting offers high-quality, cost-effective care to more patients than a physician-centered model. The main challenges to implementation include adequate and sustainable training, support and pay for staff in new roles, the integration of new members into healthcare teams, and the compliance of regulatory bodies. Task shifting should be considered for careful implementation where HRH shortages threaten rollout programmes. AU - Callaghan, Mike AU - Ford, Nathan AU - Schneider, Helen DA - 2010/03/31/ DO - 10.1186/1478-4491-8-8 L1 - internal-pdf://3260985863/Callaghan-2010-A systematic review of task- sh.pdf PY - 2010 SN - 1478-4491 SP - 8 ST - A systematic review of task- shifting for HIV treatment and care in Africa T2 - Human Resources for Health TI - A systematic review of task- shifting for HIV treatment and care in Africa UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873343/pdf/1478-4491-8-8.pdf VL - 8 ID - 2222 ER - TY - JOUR AB - INTRODUCTION: A systematic literature review was conducted to find out if bone-borne maxillary expansion with corticotomies is an effective and secure orthodontic/orthopaedic treatment modality, eliminating orthodontic and periodontal side effects of tooth-borne maxillary expansion with corticotomies. MATERIAL AND METHODS: Randomized controlled trials (RCT), controlled clinical trials (CCT) and case series with a sample size >or=5 were electronically searched in PubMED, MEDLINE, EMBASE Excerpta Medica, CINAHL, Biological Abstracts and CENTRAL till June 2008. Data were extracted by 2 observers. RESULTS: Ten studies fulfilled the inclusion criteria, of which 9 were prospective and 1 was a retrospective case series. CONCLUSION: No RCT's or CCT's were published on bone-borne surgically assisted rapid maxillary expansion (SARME). For expected advantages compared to tooth-borne SARME, only weak evidence was found for less buccal tipping of the teeth used as anchor teeth in tooth-borne expansion. The heterogeneity of the retrieved publications and the wide variety of outcome variables posed serious restrictions on the review of the literature in a quantitative systematic manner. There is a need for well designed clinical trials research on the effects of tooth-borne and bone-borne SARME. AU - Verstraaten, Jeroen AU - Kuijpers-Jagtman, Anne M. AU - Mommaerts, Maurice Y. AU - Bergé, Stefaan J. AU - Nada, Rania M. AU - Schols, Jan G. J. H. AU - Eurocran Distraction Osteogenesis, Group DA - 2010/04// DO - 10.1016/j.jcms.2009.06.006 DP - PubMed IS - 3 J2 - J Craniomaxillofac Surg KW - Adolescent Adult Child Clinical Trials as Topic Data Mining Humans Maxilla Observer Variation Orthognathic Surgical Procedures Osteogenesis, Distraction Osteotomy Palatal Expansion Technique Palate, Hard Young Adult LA - eng PY - 2010 SN - 1878-4119 SP - 166-174 ST - A systematic review of the effects of bone-borne surgical assisted rapid maxillary expansion T2 - Journal of Cranio-Maxillo-Facial Surgery: Official Publication of the European Association for Cranio-Maxillo-Facial Surgery TI - A systematic review of the effects of bone-borne surgical assisted rapid maxillary expansion UR - http://www.ncbi.nlm.nih.gov/pubmed/19664932 VL - 38 ID - 445 ER - TY - JOUR AB - Uranium is the heaviest metal known as nuclear fuel, and employed in the production of glass tinting compounds, ceramic glazes, gyroscope wheels, chemical catalysts and X-ray tube targets. Inhalation and ingestion are two of the most usual ways of exposure. Uranium may be released into drinking water through the mining leading to contamination. Uranium is able to damage the DNA by generation of free radicals and acting as a catalyst in the Fenton reactions causing oxidative stress. In fact, reproductive system contains high amount of polyunsaturated fatty acids, and therefore it is highly vulnerable to reactive oxygen species (ROS) and sensitive to uranium toxicity. Toxic effects of uranium are generally reported through different mechanisms of action including inflammation, degeneration of testis, vacuolization of Leydig cells, spermatocytes necrosis, and oocyte dysmorphism. The present article provides a comprehensive review of the recent findings mostly about the molecular and biochemical toxicity of uranium on the reproductive system. AU - Asghari, Mohammad Hossein AU - Saeidnia, Soodabeh AU - Rezvanfar, Mohammad Amin AU - Abdollahi, Mohammad DA - 2015 IS - 2 J2 - Inflamm Allergy Drug Targets LA - eng PY - 2015 SN - 2212-4055 1871-5281 SP - 67-76 ST - A Systematic Review of the Molecular Mechanisms of Uranium -Induced Reproductive Toxicity T2 - Inflammation & allergy drug targets TI - A Systematic Review of the Molecular Mechanisms of Uranium -Induced Reproductive Toxicity VL - 14 ID - 178 ER - TY - JOUR AB - Shiftwork is a common experience for many workers. There are a wide range of shift systems in use, with a number of general approaches and myriad variations of each one. Many aspects of shift systems have been studied, but attempts to reach definitive conclusions about appropriate designs have been hampered by a number of methodological issues. The aim of this systematic review was to provide evidence-based recommendations on the effect of various shift systems on neurobehavioural and physiological functioning and to identify areas which are lacking in appropriate evidence. Two main aspects of shift design were able to be considered-the direction of shift rotation and extended shift length (mainly 12-h shifts). Other areas for which there was at least one relevant paper of adequate methodology were the use of naps during night shifts, the starting time of shifts, and several other specific shift issues. Overall, the review found there is insufficient evidence to support definitive conclusions regarding any of these factors. However, the analysis provides support for the use of forward rotating shift systems in preference to backward rotating shift systems, at last as far as 8-h shifts are concerned. There are many unanswered questions in shift design. For these questions to be answered, it is important that the methodological shortcomings present in most of the studies published to date be overcome. (c) 2006 Elsevier Ltd. All rights reserved. AU - Driscoll, Timothy R. AU - Grunstein, Ronald R. AU - Rogers, Naomi L. DA - 2007/06// DO - 10.1016/j.smrv.2006.11.001 IS - 3 L1 - internal-pdf://4023125540/Driscoll-2007-A systematic review of the neuro.pdf PY - 2007 SN - 1087-0792 SP - 179-194 ST - A systematic review of the neurobehavioural and physiological effects of shiftwork systems T2 - Sleep Medicine Reviews TI - A systematic review of the neurobehavioural and physiological effects of shiftwork systems UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1087079206001237/1-s2.0-S1087079206001237-main.pdf?_tid=e96281e4-8332-11e6-88ab-00000aab0f01&acdnat=1474816717_0a0d1f9714b1b29993d73e61ad0b1099 VL - 11 ID - 2134 ER - TY - JOUR AB - PURPOSE: The Food and Drug Administration's Mini-Sentinel pilot program aims to conduct active surveillance to refine safety signals that emerge for marketed medical products. A key facet of this surveillance is to develop and understand the validity of algorithms for identifying health outcomes of interest from administrative and claims data. This article summarizes the process and findings of the algorithm review of hypersensitivity reactions. METHODS: PubMed and Iowa Drug Information Service searches were conducted to identify citations applicable to the hypersensitivity reactions of health outcomes of interest. Level 1 abstract reviews and Level 2 full-text reviews were conducted to find articles using administrative and claims data to identify hypersensitivity reactions and including validation estimates of the coding algorithms. RESULTS: We identified five studies that provided validated hypersensitivity-reaction algorithms. Algorithm positive predictive values (PPVs) for various definitions of hypersensitivity reactions ranged from 3% to 95%. PPVs were high (i.e. 90%-95%) when both exposures and diagnoses were very specific. PPV generally decreased when the definition of hypersensitivity was expanded, except in one study that used data mining methodology for algorithm development. CONCLUSIONS: The ability of coding algorithms to identify hypersensitivity reactions varied, with decreasing performance occurring with expanded outcome definitions. This examination of hypersensitivity-reaction coding algorithms provides an example of surveillance bias resulting from outcome definitions that include mild cases. Data mining may provide tools for algorithm development for hypersensitivity and other health outcomes. Research needs to be conducted on designing validation studies to test hypersensitivity-reaction algorithms and estimating their predictive power, sensitivity, and specificity. AU - Schneider, Gary AU - Kachroo, Sumesh AU - Jones, Natalie AU - Crean, Sheila AU - Rotella, Philip AU - Avetisyan, Ruzan AU - Reynolds, Matthew W. DA - 2012/01//undefined DO - 10.1002/pds.2333 J2 - Pharmacoepidemiol Drug Saf KW - *Algorithms *Validation Studies as Topic Databases, Factual/*statistics & numerical data Data Mining/methods Humans Hypersensitivity/diagnosis/*epidemiology/immunology Insurance Claim Review/statistics & numerical data Outcome Assessment (Health Care)/methods Pilot Projects Predictive Value of Tests Sensitivity and specificity United States/epidemiology United States Food and Drug Administration LA - eng PY - 2012 SN - 1099-1557 1053-8569 SP - 248-255 ST - A systematic review of validated methods for identifying hypersensitivity reactions other than anaphylaxis (fever, rash, and lymphadenopathy), using administrative and claims data T2 - Pharmacoepidemiology and drug safety TI - A systematic review of validated methods for identifying hypersensitivity reactions other than anaphylaxis (fever, rash, and lymphadenopathy), using administrative and claims data VL - 21 Suppl 1 ID - 215 ER - TY - JOUR AB - PURPOSE: To review algorithms used to identify uveitis in administrative and claims databases. METHODS: We searched the MEDLINE database via PubMed from 1991 to September 2012 using vocabulary and key terms related to uveitis. We also searched the reference lists of included studies. Two investigators independently assessed studies against pre-determined inclusion criteria. The same two investigators independently extracted data regarding participant and algorithm characteristics and assessed a study's methodological rigor using a pre-defined approach. RESULTS: Seven studies met inclusion criteria. Variability exists among algorithms employed in these studies for finding cases of uveitis and related conditions as well as in use and implementation of validation methods. Of the seven included studies, three involved case validation. One used a narrow algorithm in addition to text mining of electronic medical records to identify incident cases and found a positive predictive value of 52.1%. The other two, which used broader uveitis definitions and included both incident and prevalent cases, found positive predictive values of 24.8% and 52.6%. CONCLUSIONS: Further research, with case as well as individual code validation, is needed to determine appropriate uveitis algorithms for purposes of active surveillance in administrative data. Decisions about which algorithm to use will depend on the desired balance of sensitivity and specificity. AU - Williams, S. Elizabeth AU - Carnahan, Ryan AU - McPheeters, Melissa L. DA - 2013/12/30/ DO - 10.1016/j.vaccine.2013.03.077 J2 - Vaccine KW - *Epidemiologic Methods acute macular degeneration Administrative database Algorithms AMD Databases, Factual/*statistics & numerical data FDA health maintenance organization HMO Humans IBD ICD ICD-9 Incidence inflammatory bowel disease Insurance Claim Review/*statistics & numerical data international Classification of Diseases International Classification of Diseases/*statistics & numerical data Positive predictive value PPV US Food and Drug Administration Uveitis Uveitis/*epidemiology VA VAISN vascular endothelial growth factor VEGF veterans' administration veterans integrated service network LA - eng PY - 2013 SN - 1873-2518 0264-410X SP - K88-97 ST - A systematic review of validated methods for identifying uveitis using administrative or claims data T2 - Vaccine TI - A systematic review of validated methods for identifying uveitis using administrative or claims data VL - 31 Suppl 10 ID - 206 ER - TY - CONF AB - Background: The several maintenance tasks a system is submitted during its life usually cause its architecture deviates from the original conceivable design, ending up with scattered and tangled concerns across the software. The research area named concern mining attempts to identify such scattered and tangled concerns to support maintenance and reverse-engineering. Objectives: The aim of this paper is threefold: (i) identifying techniques employed in this research area, (ii) extending a taxonomy available on the literature and (iii) recommending an initial combination of some techniques. Results: We selected 62 papers by their mining technique. Among these papers, we identified 18 mining techniques for crosscutting concern. Based on these techniques, we have extended a taxonomy available in the literature, which can be used to position each new technique, and to compare it with the existing ones along relevant dimensions. As consequence, we present some combinations of these techniques taking into account high values of precision and recall that could improve the identification of both Persistence and Observer concerns. The combination that we recommend may serve as a roadmap to potential users of mining techniques for crosscutting concerns. Copyright 2013 ACM. AU - Durelli, Rafael S. AU - Santibanez, Daniel S. M. AU - Anquetil, Nicolas AU - Delamaro, Marcio E. AU - De Camargo, Valter Vieira C3 - 28th Annual ACM Symposium on Applied Computing, SAC 2013, March 18, 2013 - March 22, 2013 DA - 2013 DO - 10.1145/2480362.2480567 KW - Maintenance Taxonomies N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2013 SP - 1080-1087 ST - A systematic review on mining techniques for crosscutting concerns T3 - Proceedings of the ACM Symposium on Applied Computing TI - A systematic review on mining techniques for crosscutting concerns UR - http://dx.doi.org/10.1145/2480362.2480567 http://dl.acm.org/citation.cfm?doid=2480362.2480567 ID - 1447 ER - TY - JOUR AB - Lead is an old environmental metal which is presented everywhere and lead poisoning is an important health issue in many countries in the world including Iran. It is known as a silent environmental disease which can have life-long adverse health effects. In children, the most vulnerable population, mental development of children health effects is of the greatest influence. Low level lead exposure can significantly induce motor dysfunctions and cognitive impairment in children. The sources of lead exposure vary among countries. Occupational lead exposure is an important health issue in Iran and mine workers, employees of paint factories, workers of copying centers, drivers, and tile making factories are in higher risk of lead toxicity. Moreover lead processing industry has always been a major of concern which affects surface water, drinking waters, and ground waters, even water of Caspian Sea, Persian Gulf and rivers due to increasing the number of industries in vicinity of rivers that release their waste discharges into river or sea. In addition, lead contamination of soil and air especially in vicinity of polluted and industrialized cities is another health problem in Iran. Even foods such as rice and fishes, raw milk, and vegetables which are the most common food of Iranian population are polluted to lead in some area of Iran. Adding lead to the opium is a recently health hazard in Iran that has been observed among opium addicts. There are few studies evaluated current status of lead exposure and toxicity in the Iranian children and pregnant women which should be taken into account of authorities. We recommend to identify sources, eliminate or control sources, and monitor environmental exposures and hazards to prevent lead poisoning. AU - Karrari, Parissa AU - Mehrpour, Omid AU - Abdollahi, Mohammad DA - 2012/07/19/ DO - 10.1186/1560-8115-20-2 L1 - internal-pdf://0087522686/Karrari-2012-A systematic review on status of.pdf PY - 2012 SN - 1560-8115 SP - 2 ST - A systematic review on status of lead pollution and toxicity in Iran; Guidance for preventive measures T2 - Daru-Journal of Pharmaceutical Sciences TI - A systematic review on status of lead pollution and toxicity in Iran; Guidance for preventive measures UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3514537/pdf/2008-2231-20-2.pdf VL - 20 ID - 2234 ER - TY - JOUR AB - Semantic web services are gaining more attention as an important element of the emerging semantic web. Therefore, testing semantic web services is becoming a key concern as an essential quality assurance measure. The objective of this systematic literature review is to summarize the current state of the art of functional testing of semantic web services by providing answers to a set of research questions. The review follows a predefined procedure that involves automatically searching 5 well-known digital libraries. After applying the selection criteria to the results, a total of 34 studies were identified as relevant. Required information was extracted from the studies and summarized. Our systematic literature review identified some approaches available for deriving test cases from the specifications of semantic web services. However, many of the approaches are either not validated or the validation done lacks credibility. We believe that a substantial amount of work remains to be done to improve the current state of research in the area of testing semantic web services. [All rights reserved Elsevier]. AU - Tahir, A. AU - Tosi, D. AU - Morasca, S. DA - 2013/11// DO - 10.1016/j.jss.2013.06.064 IS - 11 J2 - Journal of Systems and Software KW - Digital Libraries information retrieval program testing Semantic Web software metrics software quality Web services PY - 2013 SN - 0164-1212 SP - 2877-89 ST - A systematic review on the functional testing of semantic web services T2 - Journal of Systems and Software TI - A systematic review on the functional testing of semantic web services UR - http://dx.doi.org/10.1016/j.jss.2013.06.064 VL - 86 ID - 800 ER - TY - JOUR ST - Systematic Review Toolbox TI - Systematic Review Toolbox UR - http://systematicreviewtools.com/tool.php?ref=Pimiento Y2 - 2016/09/24/21:11:36 ID - 2538 ER - TY - JOUR ST - Systematic Review Toolbox TI - Systematic Review Toolbox UR - http://systematicreviewtools.com/tool.php?ref=SWIFT-Review Y2 - 2016/09/24/21:11:55 ID - 2539 ER - TY - JOUR ST - Systematic Review Toolbox TI - Systematic Review Toolbox UR - http://systematicreviewtools.com/tool.php?ref=Systematic%20Review%20Assistant%20-%20a%20prototype Y2 - 2016/09/24/21:12:04 ID - 2540 ER - TY - JOUR ST - Systematic Review Toolbox TI - Systematic Review Toolbox UR - http://systematicreviewtools.com/tool.php?ref=Weka Y2 - 2016/09/24/21:12:24 ID - 2541 ER - TY - JOUR ST - Systematic Review Toolbox TI - Systematic Review Toolbox UR - http://systematicreviewtools.com/tool.php?ref=PubReMiner Y2 - 2016/09/24/21:12:40 ID - 2542 ER - TY - JOUR ST - Systematic Review Toolbox TI - Systematic Review Toolbox UR - http://systematicreviewtools.com/tool.php?ref=WebPlotDigitizer Y2 - 2016/09/24/21:13:06 ID - 2543 ER - TY - JOUR ST - Systematic Review Toolbox TI - Systematic Review Toolbox UR - http://systematicreviewtools.com/tool.php?ref=HCE Y2 - 2016/09/24/21:13:49 ID - 2544 ER - TY - JOUR AB - Despite the increasing popularity of systematic reviews, there remains a need to ensure that they are conducted rigorously and provide an objective critical summary of research findings. The strength of a systematic review is its rigorous methodological approach to interrogating a body of literature. Both authors and readers should be familiar with the methodology used to conduct and evaluate systematic reviews. By way of introduction, this article explains and explores the steps that make up the systematic review process. AN - 103795797. Language: English. Entry Date: 20150504. Revision Date: 20151024. Publication Type: Journal Article AU - Halcomb, E. AU - Fernandez, R. DA - 2015/04/15/ DB - c8h DO - 10.7748/ns.29.33.45.e8868 DP - EBSCOhost IS - 33 J2 - Nursing Standard KW - data mining meta analysis Meta Synthesis Narratives Research Protocols Systematic Review -- Methods N1 - tables/charts. Journal Subset: Double Blind Peer Reviewed; Europe; Expert Peer Reviewed; Nursing; Peer Reviewed; UK & Ireland. Special Interest: Evidence-Based Practice. NLM UID: 9012906. PY - 2015 SN - 0029-6570 SP - 45-51 ST - Systematic reviews T2 - Nursing Standard TI - Systematic reviews UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=103795797&scope=site VL - 29 ID - 386 ER - TY - JOUR AB - BACKGROUND: A systematic review aims to combine outcome data from published studies in a population. It is based on a number of steps and although there are numerous advantages in systematic review studies, dentists have been finding difficulties in performing them. OBJECTIVE: Taking into account the misconceptions and difficulties in conducting this kind of study, this article aims to guide readers for understanding, performing, and interpreting comprehensive systematic reviews in dental research. AU - Maia, Lucianne C. AU - Antonio, Andrea G. DA - 2012 Winter IS - 2 J2 - J Clin Pediatr Dent KW - *Dental Research *Review Literature as Topic Data Mining/methods Guidelines as Topic Humans Meta-Analysis as Topic Research Design LA - eng PY - 2012 SN - 1053-4628 1053-4628 SP - 117-124 ST - Systematic reviews in dental research. A guideline T2 - The Journal of clinical pediatric dentistry TI - Systematic reviews in dental research. A guideline VL - 37 ID - 33 ER - TY - JOUR AB - Microbial minimal generation times range from a few minutes to several weeks. They are evolutionarily determined by variables such as environment stability, nutrient availability, and community diversity. Selection for fast growth adaptively imprints genomes, resulting in gene amplification, adapted chromosomal organization, and biased codon usage. We found that these growth-related traits in 214 species of bacteria and archaea are highly correlated, suggesting they all result from growth optimization. While modeling their association with maximal growth rates in view of synthetic biology applications, we observed that codon usage biases are better correlates of growth rates than any other trait, including rRNA copy number. Systematic deviations to our model reveal two distinct evolutionary processes. First, genome organization shows more evolutionary inertia than growth rates. This results in over-representation of growth-related traits in fast degrading genomes. Second, selection for these traits depends on optimal growth temperature: for similar generation times purifying selection is stronger in psychrophiles, intermediate in mesophiles, and lower in thermophiles. Using this information, we created a predictor of maximal growth rate adapted to small genome fragments. We applied it to three metagenomic environmental samples to show that a transiently rich environment, as the human gut, selects for fast-growers, that a toxic environment, as the acid mine biofilm, selects for low growth rates, whereas a diverse environment, like the soil, shows all ranges of growth rates. We also demonstrate that microbial colonizers of babies gut grow faster than stabilized human adults gut communities. In conclusion, we show that one can predict maximal growth rates from sequence data alone, and we propose that such information can be used to facilitate the manipulation of generation times. Our predictor allows inferring growth rates in the vast majority of uncultivable prokaryotes and paves the way to the understanding of community dynamics from metagenomic data. AU - Vieira-Silva, Sara AU - Rocha, Eduardo P. C. DA - 2010/01// DO - 10.1371/journal.pgen.1000808 IS - 1 PY - 2010 SN - 1553-7390 SP - e1000808 ST - The Systemic Imprint of Growth and Its Uses in Ecological (Meta) Genomics T2 - Plos Genetics TI - The Systemic Imprint of Growth and Its Uses in Ecological (Meta) Genomics VL - 6 ID - 2256 ER - TY - JOUR AB - Cancer systems-biology is an ever-growing area of research due to explosion of data; how to mine these data and extract useful information is the problem. To have an insight on carcinogenesis one need to systematically mine several resources, such as databases, microarray and next-generation sequences. This review encompasses management and analysis of cancer data, databases construction and data deposition, whole transcriptome and genome comparison, analysing results from high throughput experiments to uncover cellular pathways and molecular interactions, and the design of effective algorithms to identify potential biomarkers. Recent technical advances such as ChIP-on-chip, ChIP-seq and RNA-seq can be applied to get epigenetic information transformed into a high-throughput endeavour to which systems biology and bioinformatics are making significant inroads. The data from ENCODE and GENCODE projects available through UCSC genome browser can be considered as benchmark for comparison and meta-analysis. A pipeline for integrating next generation sequencing data, microarray data, and putting them together with the existing database is discussed. The understanding of cancer genomics is changing the way we approach cancer diagnosis and treatment. To give a better understanding of utilizing available resources' we have chosen oral cancer to show how and what kind of analysis can be done. This review is a computational genomic primer that provides a bird's eye view of computational and bioinformatics' tools currently available to perform integrated genomic and system biology analyses of several carcinoma. AU - Mitra, Sanga AU - Das, Smarajit AU - Chakrabarti, Jayprokas DA - 2013 DO - 10.3233/CBM-130363 IS - 4 PY - 2013 SN - 1574-0153 SP - 201-213 ST - Systems biology of cancer biomarker detection T2 - Cancer Biomarkers TI - Systems biology of cancer biomarker detection VL - 13 ID - 1966 ER - TY - JOUR AB - Lipids, which are essential constituents of biological membranes, play structural and functional roles in the cell. In recent years, certain lipids have been identified as regulatory signaling molecules and have been termed "bioactive lipids". Subsequently, the importance of bioactive lipids in stem cell differentiation and cardiogenesis has gained increasing recognition. Therefore, the aim of this study was to identify the biological processes underlying murine cardiac differentiation and the mechanisms by which bioactive lipids affect these processes. For this purpose, a transcriptomic meta-analysis of microarray and AU - de Faria Poloni, Joice AU - Bonatto, Diego DA - 2015/09//undefined DO - 10.1002/jcb.25156 IS - 9 J2 - J Cell Biochem KW - *Gene Regulatory Networks Animals CARDIOMYOCYTE DIFFERENTIATION Cell Adhesion Cell Differentiation Cell Movement CELL SIGNALING data mining EXTRACELLULAR ENVIRONMENT Gene Expression Profiling/*methods Gene Expression Regulation Lipids/*physiology Mice microarray Mouse Embryonic Stem Cells/cytology/*physiology Myocytes, Cardiac/cytology/*physiology Oligonucleotide Array Sequence Analysis RNA-seq Sequence Analysis, RNA Signal Transduction Systems Biology/*methods L1 - internal-pdf://0372160269/de Faria Poloni-2015-Systems Chemo-Biology and.pdf LA - eng PY - 2015 SN - 1097-4644 0730-2312 SP - 2018-2031 ST - Systems Chemo-Biology and Transcriptomic Meta-Analysis Reveal the Molecular Roles of Bioactive Lipids in Cardiomyocyte Differentiation T2 - Journal of cellular biochemistry TI - Systems Chemo-Biology and Transcriptomic Meta-Analysis Reveal the Molecular Roles of Bioactive Lipids in Cardiomyocyte Differentiation UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/jcb.25156/asset/jcb25156.pdf?v=1&t=itirgbme&s=1f86084f29d01ef681ab0e8ad67892fd8f7a718d VL - 116 ID - 32 ER - TY - JOUR AB - TCM (Traditional Chinese Medicine) has contained a lot of primitive ideas on system thinking which deserve us to inherit, promote and develop. In recent five years we had participated in research project on data mining for experiences and thoughts from famous veteran TCM doctors, thus we have believed firmly that some important views by Qian Xuesen on TCM: "TCM theory is a treasure, but required to be modernized", if we, system scholars may corporate with TCM scholars, we will speed up this process. Qian assumed that the human body is an open complex giant system, thus it requires us to use meta-synthesis approach from qualitative to quantitative. This approach emphasizes on drawing the experience and wisdom from experts, on the combination of man and computer with stressing the man, on the processing from qualitative to quantitative studies. Based on this approach we develop the theory, methods and tools of expert mining to dig the experiences and thoughts from famous veteran TCM doctors, and obtain some beneficial results. AU - Gu, Ji-Fa AU - Song, Wu-Qi DA - 2011 IS - SUPPL. 1 J2 - Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice KW - data mining Medicine Systems science N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 10006788 SP - 24-31 ST - Systems science and TCM methodology T2 - Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice TI - Systems science and TCM methodology VL - 31 ID - 1572 ER - TY - JOUR AB - Clustering problems can be found in a wide range of applications including data mining/analytics, logistics, healthcare, biotechnology, economic analysis and many other areas. Solving a clustering problem from the real world often poses significant challenges in spite of the fact that extensive research has been devoted to this topic. In this paper we present a tabu Search algorithm for a new problem class called cohesive clustering which arises in a variety of business applications. The class introduces an objective function to produce clusters as "pure" as possible, to maximize the similarity of the elements in each given cluster. Tabu search intensification and diversification strategies are employed in order to produce enhanced outcomes. The computational results demonstrate the effectiveness of the proposed algorithm. AU - Cao, Buyang AU - Glover, Fred AU - Rego, Cesar DA - 2015/08// DO - 10.1007/s10732-015-9285-2 IS - 4 L1 - internal-pdf://2283978991/Cao-2015-A tabu search algorithm for cohesive.pdf PY - 2015 SN - 1381-1231 SP - 457-477 ST - A tabu search algorithm for cohesive clustering problems T2 - Journal of Heuristics TI - A tabu search algorithm for cohesive clustering problems VL - 21 ID - 2077 ER - TY - JOUR AB - Background: In genotyping-by-sequencing (GBS) and restriction site-associated DNA sequencing (RAD-seq), read depth is important for assessing the quality of genotype calls and estimating allele dosage in polyploids. However, existing pipelines for GBS and RAD-seq do not provide read counts in formats that are both accurate and easy to access. Additionally, although existing pipelines allow previously-mined SNPs to be genotyped on new samples, they do not allow the user to manually specify a subset of loci to examine. Pipelines that do not use a reference genome assign arbitrary names to SNPs, making meta-analysis across projects difficult. Results: We created the software TagDigger, which includes three programs for analyzing GBS and RAD-seq data. The first script, tagdigger_interactive. py, rapidly extracts read counts and genotypes from FASTQ files using usersupplied sets of barcodes and tags. Input and output is in CSV format so that it can be opened by spreadsheet software. Tag sequences can also be imported from the Stacks, TASSEL-GBSv2, TASSEL-UNEAK, or pyRAD pipelines, and a separate file can be imported listing the names of markers to retain. A second script, tag_manager. py, consolidates marker names and sequences across multiple projects. A third script, barcode_splitter. py, assists with preparing FASTQ data for deposit in a public archive by splitting FASTQ files by barcode and generating MD5 checksums for the resulting files. Conclusions: TagDigger is open-source and freely available software written in Python 3. It uses a scalable, rapid search algorithm that can process over 100 million FASTQ reads per hour. TagDigger will run on a laptop with any operating system, does not consume hard drive space with intermediate files, and does not require programming skill to use. AU - Clark, Lindsay V. AU - Sacks, Erik J. DA - 2016/07/11/ DO - 10.1186/s13029-016-0057-7 L1 - internal-pdf://2542762855/Clark-2016-TagDigger_ user-friendly extraction.pdf PY - 2016 SN - 1751-0473 SP - 11 ST - TagDigger: user-friendly extraction of read counts from GBS and RAD-seq data T2 - Source Code for Biology and Medicine TI - TagDigger: user-friendly extraction of read counts from GBS and RAD-seq data UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940913/pdf/13029_2016_Article_57.pdf VL - 11 ID - 1912 ER - TY - JOUR AB - We present the architecture and data model for Textract, a robust, scalable and configurable document analysis framework. Textract has been engineered as a pipeline architecture, allowing for rapid prototyping and application development by freely mixing reusable, existing, language analysis plugins and custom, new, plugins with customizable functionality. We discuss design issues which arise from requirements of industrial strength efficiency and scalability, and which are further constrained by plugin interactions, both among themselves, and with a common data model comprising an annotation store, document vocabulary and a lexical cache. We exemplify some of these by focusing on a meta-plugin: an interpreter for annotation-based finite state transduction, through which many linguistic filters can be implemented as stand-alone plugins. The framework and component plugins have been extensively deployed in both research and industrial environments, for a broad range of text analysis and mining tasks. 2004 Cambridge University Press. AU - Neff, Mary S. AU - Byrd, Roy J. AU - Boguraev, Branimir K. DA - 2004 DO - 10.1017/S1351324904003493 IS - 3-4 J2 - Natural Language Engineering KW - Computer architecture Computer programming languages data structures Learning systems Natural language processing systems Rapid prototyping Text processing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2004 SN - 13513249 SP - 307-326 ST - The Talent system: Textract architecture and data model T2 - Natural Language Engineering TI - The Talent system: Textract architecture and data model UR - http://dx.doi.org/10.1017/S1351324904003493 VL - 10 ID - 759 ER - TY - CONF AB - Land is a scarce natural resource as has always been. But given the accelerated exploitation of the planet during our times, it has perhaps become one of the most critical resources of mankind, from the point of sustainability. The Earth Summit-Agenda 21 gave a call for Sustainable Development, identified and emphasized the role of information in the pursuit of this objective. The paper addresses issue of proliferation of information systems available for land management, in the context of demand for information systems for optimal use of land, especially from the point of sustainable development. An information system known as Landman has been created. It consists of a database of description of various software on land management developed available with hyper links to the origin and users. The research was sponsored by IDRC and conducted by International Water Management Institute, Department of Agriculture, Thailand and the Asian Institute of Technology. The paper reports on the findings of the analysis of such a system and out line possible directions for future research. AU - Sadanandal, R. AU - De Vries, F. P. AU - Paiboonralt, P. C3 - Proceedings of the World Congress of Computers in Agriculture and Natural Resources, 19-21 Sept. 2001 DA - 2001 KW - data mining environmental degradation Environmental engineering Geographic information systems PB - American Soc. Agric. Eng. PY - 2001 SP - 575-9 ST - Taming information systems for land use: mining the meta-data T3 - Proceedings of the World Congress of Computers in Agriculture and Natural Resources TI - Taming information systems for land use: mining the meta-data ID - 1736 ER - TY - THES AB - Opinions are valuable, and with the advent of social media, plentiful. Opinions are not always intelligible, however. Therefore, many of the views of social media users are ignored. This dissertation seeks to confront the challenges associated with opinion mining and sentiment analysis by investigating three aspects of opinion expression and consumption in social media. The universality of opinion itself is explored through an innovative application of social science research in survey construction, semantic distance analysis, and corpus linguistics. Results include a universal taxonomy of 18 sentiment types shown to be portable across 15 languages. The universality of opinion processing is explored through a qualitative meta-synthesis (QMS) analysis of social psychology, opinion mining and sentiment analysis, and voting systems scholarship. Results include a comprehensive theoretical model of opinion processing: the States, Processes, Effects, and Quality (SPEQ) model for opinion mining and sentiment analysis. SPEQ defines seven states of opinion, six processes which govern the transitions between those states and five quality and integrity measures for the evaluation of those processes. Lastly, the concept of a structured opinion syntax is explored. Despite strong resentment to symbolic representations of meaning by subjects, learning and priming effects for both the encoding and decoding of structured opinion support the contention that such a syntax could be developed and used. Many future directions for research are presented for each aspect of opinion investigated. AU - La Vie, Ian Mikel CY - US DA - 2016 DP - APA PsycNET KW - *Truth Social Media PB - ProQuest Information & Learning PY - 2016 SP - No Pagination Specified ST - Taming the hashtag TI - Taming the hashtag: Universal sentiment, SPEQ-ing the truth, and structured opinion in social media UR - http://psycnet.apa.org.ezproxy.lib.vt.edu/index.cfm?fa=search.displayRecord&id=3FADC1DE-9041-E9D3-1B0A-3623CB6197E7&resultID=12&page=1&dbTab=all&search=true ID - 459 ER - TY - CONF AB - Automatic metadata extraction tools can improve the effectiveness of media production processes. However, it is difficult to assess the applicability, expected performance and thus cost-effectiveness of a specific tool in a specific task context. We propose the introduction of a task-based approach in the domain of multimedia analysis, in order to assess the practical value of automatic information extraction tools for media production tasks. Using formalized machine readable models of these tasks, multimedia analysis tools can be assessed in the context of a real media production workflow rather than evaluating these tools in an isolated lab setting. We model dependencies of the performance of analysis tools on their input using a Bayesian network, and show that we obtain a better measure for the quality of the analysis results from this particular tool than with generic metrics. We also show that the method can be used for performance prediction based on content properties. The second contribution of this paper is the application of task models for cost simulation, comparing the effort of manual correction of results generated by automatic content analysis tools at different performance levels with a fully manual completion of the task. This enables determining a minimum performance level for cost-effective application of the automatic tools. AU - Bailer, W. AU - Messina, A. AU - Negro, F. C3 - 2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI), 18-20 June 2014 DA - 2014 DO - 10.1109/CBMI.2014.6849826 KW - Bayes methods Content Management information retrieval meta data multimedia computing software tools PB - IEEE PY - 2014 SP - 6-pp. ST - Task-based assessment of performance and cost-effectiveness of automatic metadata extraction T3 - 2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI) TI - Task-based assessment of performance and cost-effectiveness of automatic metadata extraction UR - http://dx.doi.org/10.1109/CBMI.2014.6849826 ID - 846 ER - TY - CONF AB - Traditional Chinese medicine (TCM) has a rich knowledge about human health and disease by its special way evolved along a very long history. As modern medicine is achieving much progress, arguments and disputes toward TCM never ends. To avoid losing lots of precious knowledge of TCM masters, endeavors have been engaged to systematic collection of those knowledge of TCM masters, such as their growth experiences, effective practical cases toward sickness and typical therapeutic principles and methods. Various knowledge mining has been expected to explore some useful or hidden patterns to unveil some mysteries of TCM system. This paper describes a computerized tool, TCM Master Miner, which applies different analytical methods to those collected materials about some living TCM masters in China mainland to show a different way of exposing essential ideas of those TCM masters by correspondence visualization which aims to help people understand TCM holistic views toward disease and body, and facilitate tacit knowledge transfer and sense-making of the TCM essence. This work is one kind of qualitative meta-synthesis of TCM masters' knowledge. 2007 IEEE. AU - Tang, Xijin AU - Zhang, Nan AU - Wang, Zheng C3 - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007, October 7, 2007 - October 10, 2007 DA - 2007 DO - 10.1109/ICSMC.2007.4414215 KW - data mining Data transfer Drug therapy Health care Hospital data processing Knowledge management N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2007 SN - 1062922X SP - 3541-3546 ST - TCM masters miner for knowledge transfer T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics TI - TCM masters miner for knowledge transfer UR - http://dx.doi.org/10.1109/ICSMC.2007.4414215 ID - 961 ER - TY - CHAP AB - Traditional Chinese medicine (TCM) has a rich knowledge about human health and disease by its special way evolved along a very long history. As modern medicine is achieving much progress, arguments and disputes toward TCM never ends. To avoid losing lots of precious knowledge of TCM masters, endeavors have been engaged to systematic collection of those knowledge of TCM masters, such as their growth experiences, effective practical cases toward sickness and typical therapeutic principles and methods. Various knowledge mining has been expected to explore some useful or hidden patterns to unveil some mysteries of TCM system. This paper describes a computerized tool, TCM Master Miner, which applies different analytical methods to those collected materials about some living TCM masters in China mainland to show a different way of exposing essential ideas of those TCM masters by correspondence visualization which aims to help people understand TCM holistic views toward disease and body, and facilitate tacit knowledge transfer and sense-making of the TCM essence. This work is one kind of qualitative meta-synthesis of TCM masters' knowledge. AU - Tang, Xijin AU - Zhang, Nan AU - Wang, Zheng PY - 2007 SN - 978-1-4244-0990-7 SP - 3785-3790 ST - TCM masters miner for knowledge transfers T2 - 2007 Ieee International Conference on Systems, Man and Cybernetics, Vols 1-8 TI - TCM masters miner for knowledge transfers ID - 2206 ER - TY - JOUR AB - Background: Engineering student team projects are frequently used to meet professional learning outcomes. Industrial and organizational psychologists study teams in the industry settings for which we prepare students, yet this research does not effectively inform engineering education. Purpose: This research review sought to demonstrate the relevance of literature on teams literature from industrial and organizational psychology to engineering education and to identify implications for practice and future directions for research. Scope/Method: Phase 1 systematically reviewed 104 articles published from 2007 to 2012 describing engineering and computer science student team projects and sought to answer the following questions: What professional learning outcomes have been met by team projects? What negative student team behaviors have faculty sought to minimize? What literature has been used to inform development of teamwork outcomes? Phase 2 reviewed five team effectiveness constructs selected according to the results of Phase 1: social loafing, interdependence, conflict, trust, and shared mental models. Examples from Phase 1 articles and our own work explain how this research informs facilitation and assessment of engineering student teams. Conclusions: Engineering faculty sought to achieve a variety of outcomes through team projects, including teamwork, communication, sustainability, and consideration of global/societal design context. They sought to avoid social loafing and conflict while building trust to ensure equal team effort. That few Phase 1 articles engaged the literature about team effectiveness indicates there is great opportunity to apply industrial and organizational psychology research to engineering education. 2013 ASEE. AU - Borrego, Maura AU - Karlin, Jennifer AU - McNair, Lisa D. AU - Beddoes, Kacey DA - 2013 DO - 10.1002/jee.20023 IS - 4 J2 - Journal of Engineering Education KW - Engineering education Engineering research Industrial research Industry Management Students L1 - internal-pdf://1682085273/Borrego-2013-Team effectiveness theory from in.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2013 SN - 10694730 SP - 472-512 ST - Team effectiveness theory from industrial and organizational psychology applied to engineering student project teams: A research review T2 - Journal of Engineering Education TI - Team effectiveness theory from industrial and organizational psychology applied to engineering student project teams: A research review UR - http://dx.doi.org/10.1002/jee.20023 http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/jee.20023/asset/jee20023.pdf?v=1&t=itiqigb0&s=e4385de3f3478c71525d44b3229f58541693e218 VL - 102 ID - 503 ER - TY - BOOK A3 - Giannantonio, C. M. A2 - HurleyHanson, A. E. AU - Scandura, Terri A. AU - Sharif, Monica M. DA - 2013 PY - 2013 SN - 978-1-78100-212-4 978-1-78100-211-7 ST - Team leadership: the Chilean mine case TI - Team leadership: the Chilean mine case ID - 2117 ER - TY - JOUR AB - An important aspect of the work of researchers as well as librarians is to manage collections of scientific literature. Social research networks, such as Mendeley and CiteULike, provide services that support this task. Meta-data plays an important role in providing services to retrieve and organise the articles. In such settings, meta-data is rarely explicitly provided, leading to the need for automatically extracting this valuable information. The TeamBeam algorithm analyses a scientific article and extracts structured meta-data, such as the title, journal name and abstract, as well as information about the article's authors (e.g. names, e-mail addresses, affiliations). The input of the algorithm is a set of blocks generated from the article text. A classification algorithm, which takes the sequence of the input into account, is then applied in two consecutive phases. In the evaluation of the algorithm, its performance is compared against two heuristics and three existing meta-data extraction systems. Three different data sets with varying characteristics are used to assess the quality of the extraction results. TeamBeam performs well under testing and compares favourably with existing approaches. AU - Kern, R. AU - Jack, K. AU - Hristakeva, M. AU - Granitzer, M. DA - 2012/07// DO - 10.1045/july2012-kern IS - 7-8 J2 - D-Lib Magazine KW - information retrieval learning (artificial intelligence) pattern classification scientific information systems PY - 2012 SN - 1082-9873 SP - 12-pp. ST - TeamBeam - Meta-data Extraction from Scientific Literature T2 - D-Lib Magazine TI - TeamBeam - Meta-data Extraction from Scientific Literature UR - http://dx.doi.org/10.1045/july2012-kern VL - 18 ID - 1849 ER - TY - JOUR AB - Stock market prediction is essential and of great interest because successful prediction of stock prices may promise smart benefits. These tasks are highly complicated and very difficult. Many researchers have made valiant attempts in data mining to devise an efficient system for stock market movement analysis. In this paper, we have developed an efficient approach to stock market prediction by employing fuzzy C-means clustering and artificial neural network. This research has been encouraged by the need of predicting the stock market to facilitate the investors about buy and hold strategy and to make profit. Firstly, the original stock market data are converted into interpreted historical (financial) data i.e. via technical indicators. Based on these technical indicators, datasets that are required for analysis are created. Subsequently, fuzzy-clustering technique is used to generate different training subsets. Subsequently, based on different training subsets, different ANN models are trained to formulate different base models. Finally, a meta-leamer, fuzzy system module, is employed to predict the stock price. The results for the stock market prediction are validated through evaluation metrics, namely mean absolute deviation, mean square error, root mean square error, mean absolute percentage error used to estimate the forecasting accuracy in the stock market. Comparative analysis is carried out for single Neural Network (NN) and existing technique neural. The obtained results show that the proposed approach produces better results than the other techniques in terms of accuracy. AU - Sugumar, Rajendran AU - Rengarajan, Alwar AU - Jayakumar, Chinnappan DA - 2014 IS - 5 J2 - Computing and Informatics KW - Commerce data mining Finance Financial markets Forecasting Fuzzy clustering Fuzzy neural networks Fuzzy systems Investments Mean square error Neural networks N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 13359150 SP - 992-1024 ST - A technique to stock market prediction using fuzzy clustering and artificial neural networks T2 - Computing and Informatics TI - A technique to stock market prediction using fuzzy clustering and artificial neural networks VL - 33 ID - 902 ER - TY - JOUR AB - Driven by necessity in our own complex review, we developed alternative systematic ways of identifying relevant evidence where the key concepts are generally not focal to the primary studies' aims and are found across multiple disciplines-that is, hard-to-detect evidence. Specifically, we sought to identify evidence on community engagement in public health interventions that aim to reduce health inequalities. Our initial search strategy used text mining to identify synonyms for the concept 'community engagement'. We conducted a systematic search for reviews on public health interventions, supplemented by searches of trials databases. We then used information in the reviews' evidence tables to gather more information about the included studies than was evident in the primary studies' own titles or abstracts. We identified 319 primary studies cited in reviews after full-text screening. In this paper, we retrospectively reflect on the challenges and benefits of the approach taken. We estimate that more than a quarter of the studies that were identified would have been missed by typical searching and screening methods. This identification strategy was highly effective and could be useful for reviews of broad research questions, or where the key concepts are unlikely to be the main focus of primary research. AU - O'Mara-Eves, Alison AU - Brunton, Ginny AU - McDaid, David AU - Kavanagh, Josephine AU - Oliver, Sandy AU - Thomas, James DA - 2014/03//undefined DO - 10.1002/jrsm.1094 IS - 1 J2 - Res Synth Methods KW - *Evidence-Based Medicine *Interdisciplinary Studies *Natural Language Processing *Review Literature as Topic *Vocabulary, Controlled Data Mining/*methods information retrieval Periodicals as Topic Research Design Review Literature as Topic Screening searching text mining L1 - internal-pdf://1474612399/O'Mara-Eves_et_al-2014-Research_Synthesis_Meth.pdf LA - eng PY - 2014 SN - 1759-2887 1759-2879 SP - 50-59 ST - Techniques for identifying cross-disciplinary and 'hard-to-detect' evidence for systematic review T2 - Research synthesis methods TI - Techniques for identifying cross-disciplinary and 'hard-to-detect' evidence for systematic review VL - 5 ID - 144 ER - TY - BOOK AB - The control of environmental effects, especially blast vibration and airblast, has become a dominating planning criterion for most surface blasting operations. Compliance with existing regulations is generally achieved through constraints in the blast design, or monitoring programs. Commonly, blast vibration and airblast signals are rated and compared by their maximum amplitude and the associated principal frequency. However, this data reduction limits the interpretation of the influence of varying blast design parameters on the vibration and airblast. Advanced signal analysis can assist in better understanding the behavior of individual charges in a blast pattern and their contribution to the airblast and vibration. Advanced analysis techniques include statistical regression analysis, frequency analysis, frequency scans and filter analysis. initially, advanced analysis should be supported by blast assessment techniques, such as high-speed photography, VOD and timing analyses, to evaluate the impact of individual blast parameters. Advanced analysis relies on measurements in the direct-field of a blast. Most airblast and vibration measurements are taken in the far-field to show compliance with existing regulations, or to satisfy the concerns of neighbors and the mine operators. Hence a thorough understanding of the propagation behavior of airblast and blast vibration and the relation to individual blast design parameters is essential to an efficient blasting program. This includes the understanding of the measurements, especially the setup and coupling of the seismographs. Optimizing criteria and a pragmatic monitoring program can be established based on the knowledge of the most influential and controllable blast parameters. An efficient monitoring program is set up to allow a fast response to unusual measurements and atypical blast designs, in order to avoid changes in the blast design based on erroneous measurements or invalid assumptions. A systematic review of analysis techniques, including filter analysis, is given through many examples illustrating the effects of blast geometry, blasthole sequencing and timing, and geology through which the vibration is transmitted. Optimizing criteria for a blasting program including the monitoring of the environmental effects are suggested and discussed. AU - Sames, F. AU - Hivick, R. DA - 1999 PY - 1999 ST - Techniques to assess the influence of blast design parameters on airblast and blast vibration TI - Techniques to assess the influence of blast design parameters on airblast and blast vibration ID - 2301 ER - TY - JOUR AU - Demiris, George AU - Hensel, Brian K. AU - others DA - 2008 DP - Google Scholar L1 - https://www.researchgate.net/profile/George_Demiris/publication/51431707_Technologies_for_an_Aging_Society_A_Systematic_Review_of_Smart_Home_Applications/links/557c7aa108ae26eada8c9e36.pdf PY - 2008 SP - 33-40 ST - Technologies for an aging society T2 - Yearb Med Inform TI - Technologies for an aging society: a systematic review of “smart home” applications UR - https://www.researchgate.net/profile/George_Demiris/publication/51431707_Technologies_for_an_Aging_Society_A_Systematic_Review_of_Smart_Home_Applications/links/557c7aa108ae26eada8c9e36.pdf VL - 3 Y2 - 2016/09/24/15:37:30 ID - 2363 ER - TY - JOUR AB - In this paper, we describe InSciTe, which is a technology intelligence service for establishing RD strategy using RD outcomes such as papers and patents. InSciTe has developed by combining advantages of web-based academic information service and information analysis tool. It has been implemented by using Semantic Web and text mining technologies, extracts meaningful technologies and their relations from texts and combines the results with meta-data on a semantic service platform to enhance their analytical values. It aims to support decision-making processes to establish RD strategy for new research domain. It is designed to help users to analyze patents and papers and to achieve the goal. InSciTe has 340,000 papers, 400,000 patents and provides various analysis services such as technology-agent map, technology trend, agent network and technology summary report based on technologies, research agents and research outcomes. AU - Mikyoung, Lee AU - Hanmin, Jung AU - Pyung, Kim AU - Won-Kyung, Sung DA - 2011/05// IS - 5 J2 - Journal of KISS: Computing Practices KW - data mining decision making meta data patents research and development Semantic Web text analysis PY - 2011 SN - 1229-7712 SP - 337-41 ST - Technology Intelligence Service for Establishing RD Strategy T2 - Journal of KISS: Computing Practices TI - Technology Intelligence Service for Establishing RD Strategy VL - 17 ID - 1515 ER - TY - CONF AB - This paper describes an approach to mine for competencies of users' in a social software system. The system supports knowledge sharing in a structured way supported by social tagging and an ontology. This meta-data is used to find relevant knowledge sources, cluster these resources and to recommend certain resources to users. Our research assumption is, that if a user enters knowledge about a certain domain, s/he is in a certain degree competent in this area. In our experiment we generate competence profiles of users and compare it with a competence profile obtained by a self-assessment of users. In this paper we describe the performed experiments at the university where students and university staff use the system to share knowledge. AU - Dorn, Jurgen AU - Hochmeister, Martin C3 - 13th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2009, Jointly with the 15th International Conference on Information Systems Analysis and Synthesis, ISAS 2009, July 10, 2009 - July 13, 2009 DA - 2009 KW - Cybernetics Experiments INFORMATION science Information systems Management information systems Semantics Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - International Social Science Council,ISSC PY - 2009 SP - 115-120 ST - TechScreen: Mining competencies in social software T3 - WMSCI 2009 - The 13th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 15th International Conference on Information Systems Analysis and Synthesis, ISAS 2009 - Proc. TI - TechScreen: Mining competencies in social software VL - 1 ID - 1376 ER - TY - CONF AB - The concepts of telerobotics and more generally teleoperation-extension of human sensing and manipulating capability by coupling through communication means to artificial sensors and actuators-are discussed, along with related concepts of telepresence, robotics and supervisory control. Relevant historical developments are reviewed. Current and future applications to space, undersea, nuclear power, the handicapped, surgery, terrestrial mining, construction and maintenance, warehousing, firefighting, policing and military operations are described. Current and new research problems are presented in telesensing, teleactuating, computer-aided supervisory control, and meta-analysis of human/computer/teleoperator/task interaction. Finally, some future social implications are discussed. AU - Sheridan, T. B. C3 - Automatic Control - World Congress, 1987. 10th Triennial World Congress of the International Federation of Automatic Control, 27-31 July 1987 DA - 1988 KW - man-machine systems Robots telecontrol PB - Pergamon PY - 1988 SP - 67-8 ST - Telerobotics T3 - Automatic Control - World Congress, 1987. Selected Papers from the 10th Triennial World Congress of the International Federation of Automatic Control TI - Telerobotics ID - 1449 ER - TY - JOUR AB - Time series are often generated by continuous sampling or measurement of natural or social phenomena. In many cases, events cannot be represented by individual records, but instead must be represented by time series segments (temporal intervals). A consequence of this segment-based approach is that the analysis of events is reduced to analysis of occurrences of time series patterns that match segments representing the events. A major obstacle on the path toward event analysis is the lack of query languages for expressing interesting time series patterns. We have introduced SQL/LPP (Perng and Parker, 1999). Which provides fairly strong expressive power for time series pattern queries, and are now able to attack the problem of specifying queries that analyze temporal coupling, i.e., temporal relationships obeyed by occurrences of two or more patterns. In this paper, we propose SQL/LPP+, a temporal coupling verification language for time series databases. Based on the pattern definition language of SQL/LPP (Perng and Parker, 1999), SQL/LPP+ enables users to specify a query that looks for occurrences of a cascade of multiple patterns using one or more of Allen's temporal relationships (Allen, 1983) and obtain desired aggregates or meta-aggregates of the composition. Issues of pattern composition control are also discussed. AU - Perng, Chang-Shing AU - Parker, D. Stott DA - 2000 DO - 10.1023/A:1008777711333 IS - 1 J2 - Journal of Intelligent Information Systems KW - Computer hardware description languages data mining Data reduction data structures formal languages information retrieval systems Knowledge based systems Query languages N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2000 SN - 09259902 SP - 29-49 ST - Temporal coupling verification in time series databases T2 - DaWaK'99 - 1st International Conference on Data Warehousing and Knowledge Discovery, August 30, 1999 - September 1, 1999 TI - Temporal coupling verification in time series databases UR - http://dx.doi.org/10.1023/A:1008777711333 VL - 15 ID - 815 ER - TY - JOUR AB - Following the paradigm of on-line analytical processing (OLAP) every representation of business objects in management support systems is multidimensional. Dynamic changes of business structures such as consolidations have to be modeled in the data warehouse framework. For reasons of consistency in analytical applications it is necessary to add temporal components to the data model. Objects and relations between objects will be provided with time stamps corresponding to known methods of temporal data storage. This enhancement of the OLAP-approach allows, even after changes of structural data (dimensions), an appropriate comparative analysis between arbitrary periods. But any access to multidimensional cubes makes it necessary to evaluate a meta cube. AU - Chamoni, P. AU - Stock, S. DA - 1998/12// IS - 6 J2 - Wirtschaftsinformatik KW - business data processing data mining data structures Data warehouses Management information systems temporal databases PY - 1998 SN - 0937-6429 SP - 513-19 ST - Temporal data in management support systems T2 - Wirtschaftsinformatik TI - Temporal data in management support systems VL - 40 ID - 968 ER - TY - CONF AB - This paper proposes the use of temporal network analysis of conference sessions to examine the evolutionary process of emerging technologies as significant information for strategic RD decision-making. This study examines the emerging processes of rapidly growing web-based technologies by analyzing World Wide Web (WWW) conferences over the latest decade. Temporal networks are demonstrated through scientific and technical streams relating Social Network and Monetization. In particular, the transition from E-community in 2006 to Social Networks in 2008 strongly affects later research. Monetization originates from the Auction and E-Commerce session in 2002 and is derived from Advertisements Click Estimation and Sponsored Search. The conference session titles can be considered as conceptualized meta-knowledge created by the scientific community. The proposed method has the advantage of not requiring any prior knowledge in conceptualization compared to bottom-up clustering techniques used in citation analysis and text mining. 2012 IEEE. AU - Arino, Kazuma AU - Furukawa, Takao AU - Shirakawa, Nobuyuki AU - Okuwada, Kumi C3 - 2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012, December 10, 2012 - December 13, 2012 DA - 2012 DO - 10.1109/IEEM.2012.6837914 KW - data mining Industrial engineering Social networking (online) World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SN - 21573611 SP - 1108-1112 ST - Temporal network analysis of emerging technologies: Topic transition in World Wide Web (WWW) conferences T3 - IEEE International Conference on Industrial Engineering and Engineering Management TI - Temporal network analysis of emerging technologies: Topic transition in World Wide Web (WWW) conferences UR - http://dx.doi.org/10.1109/IEEM.2012.6837914 ID - 1333 ER - TY - JOUR AB - Provenance of digital scientific data is a distinct piece of metadata about a data object. It can serve as a ground-truth for determining the cause of execution failure for instance, or can explain a particular result to a researcher intending to reuse a data object. Provenance can quickly grow voluminous and be quite feature rich, requiring new structure and concepts that support data mining. We propose a representation of data provenance using logical time that reduces the feature space of the provenance. The temporal representation supports clustering, classification and association rule mining. This paper studies the full utility of the temporal representation through an empirical evaluation and identification of the data mining algorithms that are most effective in application to the proposed representation. The evaluation is carried out against a multi-gigabyte semi-synthetic provenance dataset built from a range of scientific workflows, and against a real one month provenance dataset gathered from a satellite instrument. Through analysis of the results via clustering metrics-purity and Normalized Mutual Information (NMI), we determine that the k-means algorithm gives the best clustering with the proposed temporal representation, while still yielding provenance-useful information. [All rights reserved Elsevier]. AU - Peng, Chen AU - Plale, B. AU - Aktas, M. S. DA - 2014/07// DO - 10.1016/j.future.2013.09.032 J2 - Future Generation Computer Systems KW - data analysis data mining meta data pattern clustering PY - 2014 SN - 0167-739X SP - 363-78 ST - Temporal representation for mining scientific data provenance T2 - Future Generation Computer Systems TI - Temporal representation for mining scientific data provenance UR - http://dx.doi.org/10.1016/j.future.2013.09.032 VL - 36 ID - 1655 ER - TY - CONF AB - Provenance of digital scientific data is an important piece of the metadata of a data object. It can however grow voluminous quickly because the granularity level of capture can be high. It can also be quite feature rich. We propose a representation of the provenance data based on logical time that reduces the feature space. Creating time and frequency domain representations of the provenance, we apply clustering, classification and association rule mining to the abstract representations to determine the usefulness of the temporal representation. We evaluate the temporal representation using an existing 10 GB database of provenance captured from a range of scientific workflows. AU - Peng, Chen AU - Plale, B. AU - Aktas, M. S. C3 - 2012 IEEE 8th International Conference on E-Science (e-Science), 8-12 Oct. 2012 DA - 2012 DO - 10.1109/eScience.2012.6404477 KW - abstract data types data mining frequency-domain analysis meta data pattern classification pattern clustering scientific information systems temporal databases time-domain analysis workflow management software PB - IEEE PY - 2012 SP - 8-pp. ST - Temporal Representation for Scientific Data Provenance T3 - 2012 IEEE 8th International Conference on E-Science (e-Science) TI - Temporal Representation for Scientific Data Provenance UR - http://dx.doi.org/10.1109/eScience.2012.6404477 ID - 1122 ER - TY - CONF AB - Following the paradigm of online analytical processing (OLAP), every representation of business objects in management support systems is multidimensional. Dynamic changes of business structures like consolidations have to be modeled in the data warehouse framework. For reasons of consistency in analytical applications, it is necessary to add temporal components to the data model. Objects and relations between objects will be provided with time stamps corresponding to known methods of temporal data storage. This enhancement of the OLAP approach allows an appropriate comparative analysis between arbitrary periods even after changes of structural data (dimensions). But any access to multidimensional cubes make it necessary to evaluate a meta cube. AU - Chamoni, P. AU - Stock, S. C3 - Data Warehousing and Knowledge Discovery. First International Conference, DaWaK'99. Proceedings, 30 Aug.-1 Sept. 1999 DA - 1999 KW - data mining data models Data warehouses meta data temporal databases Temporal logic PB - Springer-Verlag PY - 1999 SP - 353-8 ST - Temporal structures in data warehousing T3 - Data Warehousing and Knowledge Discovery. First International Conference, DaWaK'99. Proceedings (Lecture Notes in Computer Science Vol.1676) TI - Temporal structures in data warehousing ID - 1351 ER - TY - CONF AB - In this paper, we introduce TennisSense, a technology platform for the digital capture, analysis and retrieval of tennis training and matches. Our algorithms for extracting useful metadata from the overhead court camera are described and evaluated. We track the tennis ball using motion images for ball candidate detection and then link ball candidates into locally linear tracks. From these tracks we can infer when serves and rallies take place. Using background subtraction and hysteresis-type blob tracking, we track the tennis players positions. The performance of both modules is evaluated using ground-truthed data. The extracted metadata provides valuable information for indexing and efficient browsing of hours of multi-camera tennis footage and we briefly illustrative how this data is used by our tennis-coach playback interface. AU - Conaire, C. O. AU - Kelly, P. AU - Connaghan, D. AU - O'Connor, N. E. C3 - 2009 16th International Conference on Digital Signal Processing (DSP), 5-7 July 2009 DA - 2009 DO - 10.1109/ICDSP.2009.5201152 KW - feature extraction image retrieval meta data object detection PB - IEEE PY - 2009 SP - 6-pp. ST - TennisSense: a platform for extracting semantic information from multi-camera tennis data T3 - 2009 16th International Conference on Digital Signal Processing (DSP) TI - TennisSense: a platform for extracting semantic information from multi-camera tennis data UR - http://dx.doi.org/10.1109/ICDSP.2009.5201152 ID - 852 ER - TY - JOUR AB - Diagnostic systematic reviews is a relatively new area within the Evidence-Based Medicine (EBM). Their indexing in Pubmed is not precise, which complicates their detection when a systematic review is to be realized. In order to provide an assistance in the selection of relevant studies, we propose to develop a terminology describing this area and the organization of its terms. The terminology is built with a bottom-up approach. It contains 255 terms organized into five hierarchical levels. Only a small proportion of these terms (13%) are already registered in MeSH. This terminology will be exploited in a dedicated web service as a main tool for the detection of relevant diagnostic studies. AU - Grabar, Natalia AU - Trinquart, Ludovic AU - Colombet, Isabelle DA - 2011 J2 - Stud Health Technol Inform KW - *Terminology as Topic Abstracting and Indexing as Topic Algorithms Clinical Trials as Topic Data Mining/methods Evidence-Based Medicine/*methods Humans Language Medical Subject Headings natural language processing Neurosurgery/methods PubMed Reproducibility of results ROC Curve LA - eng PY - 2011 SN - 0926-9630 0926-9630 SP - 769-773 ST - Terminology for the description of the diagnostic studies in the field of EBM T2 - Studies in health technology and informatics TI - Terminology for the description of the diagnostic studies in the field of EBM VL - 169 ID - 272 ER - TY - JOUR AB - The use of terrestrial laser scanning is getting better for geotechnical purposes. Instead of monitoring slopes and evaluating trends it is desirable to improve this technique, obtaining objective data from the geological structures. A terrestrial laser scanning equipment was used to image a meta-calcareous mine intending to investigate if it is possible, in a 2cm grid image, to recognize fracture planes. To prove its applicability, the point cloud obtained, as result of imaging, was used to evaluate slope stability in terms of planar failure. The results show the advantages of using terrestrial laser scanning to geotechnical purposes, because it permits to work with large data amount simultaneously with the same precision. 2012 ejge. AU - Nagalli, Andre AU - Fiori, Alberto Pio AU - Nagalli, Bruno AU - Izzo, Ronaldo Luis dos Santos DA - 2012 J2 - Electronic Journal of Geotechnical Engineering KW - Rock mechanics Slope stability Steel beams and girders N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 10893032 SP - 1817-1832 ST - Terrestrial laser scanning on rock mass stability analysis T2 - Electronic Journal of Geotechnical Engineering TI - Terrestrial laser scanning on rock mass stability analysis VL - 17 M ID - 796 ER - TY - BOOK AU - Chen, Hsinchun AU - Reid, Edna AU - Sinai, Joshua AU - Silke, Andrew AU - Ganor, Boaz DA - 2008 DP - Google Scholar PB - Springer Science & Business Media PY - 2008 ST - Terrorism informatics TI - Terrorism informatics: Knowledge management and data mining for homeland security UR - https://books.google.com/books?hl=en&lr=&id=feoqhcd8bnkC&oi=fnd&pg=PR15&dq=text+mining+systematic+reviews+&ots=Pu8FFMleHd&sig=uj0lC_LBZ_SWYYOEMCj5Q9Sqfcc https://books.google.com/books?hl=en&lr=&id=feoqhcd8bnkC&oi=fnd&pg=PR15&dq=text+mining+systematic+reviews+&ots=Pu8FFMleHd&sig=uj0lC_LBZ_SWYYOEMCj5Q9Sqfcc#v=onepage&q&f=false VL - 18 Y2 - 2016/09/24/15:39:07 ID - 2367 ER - TY - CONF AB - In this paper we present Text2Onto, a framework for ontology learning from textual resources. Three main features distinguish Text2Onto from our earlier framework TextToOnto as well as other state-of-the-art ontology learning frameworks. First, by representing the learned knowledge at a meta-level in the form of instantiated modeling primitives within a so called probabilistic ontology model (POM), we remain independent of a concrete target language while being able to translate the instantiated primitives into any (reasonably expressive) knowledge representation formalism. Second, user interaction is a core aspect of Text2Onto and the fact that the system calculates a confidence for each learned object allows to design sophisticated visualizations of the POM. Third, by incorporating strategies for data-driven change discovery, we avoid processing the whole corpus from scratch each time it changes, only selectively updating the POM according to the corpus changes instead. Besides increasing efficiency in this way, it also allows a user to trace the evolution of the ontology with respect to the changes in the underlying corpus. AU - Cimiano, P. AU - Volker, J. C3 - Natural Language Processing and Information Systems. 10th International Conference on Applications of Natural Language to Information Systems, NLDB 2005. Proceedings, 15-17 June 2005 DA - 2005 KW - data mining data visualisation learning (artificial intelligence) natural languages ontologies (artificial intelligence) text analysis User interfaces PB - Springer-Verlag PY - 2005 SP - 227-38 ST - Text2Onto - a framework for ontology learning and data-driven change discovery T3 - Natural Language Processing and Information Systems. 10th International Conference on Applications of Natural Language to Information Systems, NLDB 2005. Proceedings (Lecture Notes in Computer Science Vol. 3513) TI - Text2Onto - a framework for ontology learning and data-driven change discovery ID - 925 ER - TY - JOUR AB - Keeping track of conceptual and methodological developments is a critical skill for research scientists, but this task is increasingly difficult due to the high rate of academic publication. As a crisis discipline, conservation science is particularly in need of tools that facilitate rapid yet insightful synthesis. We show how a common text-mining method (latent Dirichlet allocation, or topic modeling) and statistical tests familiar to ecologists (cluster analysis, regression, and network analysis) can be used to investigate trends and identify potential research gaps in the scientific literature. We tested these methods on the literature on ecological surrogates and indicators. Analysis of topic popularity within this corpus showed a strong emphasis on monitoring and management of fragmented ecosystems, while analysis of research gaps suggested a greater role for genetic surrogates and indicators. Our results show that automated text analysis methods need to be used with care, but can provide information that is complementary to that given by systematic reviews and meta-analyses, increasing scientists' capacity for research synthesis. AU - Westgate, Martin J. AU - Barton, Philip S. AU - Pierson, Jennifer C. AU - Lindenmayer, David B. DA - 2015/12//undefined DO - 10.1111/cobi.12605 IS - 6 J2 - Conserv Biol KW - asignacion Dirichlet latente hot topics indicadores indicators latent Dirichlet allocation sintesis surrogates sustitutos synthesis temas sobresalientes LA - eng PY - 2015 SN - 1523-1739 0888-8892 SP - 1606-1614 ST - Text analysis tools for identification of emerging topics and research gaps in conservation science T2 - Conservation biology : the journal of the Society for Conservation Biology TI - Text analysis tools for identification of emerging topics and research gaps in conservation science VL - 29 ID - 109 ER - TY - JOUR AB - The recent decades have witnessed an unprecedented expansion in the volume of unstructured data in digital textual formats. Companies are now starting to recognize the potential economic value lying untapped in their text data repositories and sources, including external ones, such as social media platforms, and internal ones, such as safety reports and other company-specific document collections. Information extracted from these textual data sources is valuable for a range of enterprise application and for informed decision making. In this article we provide a systematic review of the current state of the art in the application of text analytics in industry. Our review is structured along three dimensions: the application context, the methods and techniques utilized, and the evaluation procedure. Based on the review, we identify the different challenges and constraints that an real-world, industrial environment imposes on text analytics techniques, as opposed to their deployment in more controlled, research environments. In addition, we formulate a set of desiderata that text analytics techniques should satisfy in order to alleviate these challenges and to ensure their successful deployment in industry. Furthermore, we discuss future trends in text analytics and their potential application in industry. 2015 Elsevier B.V. All rights reserved. AU - Ittoo, Ashwin AU - Nguyen, Le Minh AU - Van Den Bosch, Antal DA - 2016 DO - 10.1016/j.compind.2015.12.001 J2 - Computers in Industry KW - Character recognition data mining decision making Human computer interaction Industrial applications Industrial research Natural language processing systems L1 - internal-pdf://3290413812/Ittoo-2016-Text analytics in industry_ Challen.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 01663615 SP - 96-107 ST - Text analytics in industry: Challenges, desiderata and trends T2 - Computers in Industry TI - Text analytics in industry: Challenges, desiderata and trends UR - http://dx.doi.org/10.1016/j.compind.2015.12.001 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0166361515300646/1-s2.0-S0166361515300646-main.pdf?_tid=961b2ba4-833b-11e6-9e51-00000aacb35d&acdnat=1474820442_4f320a3146bf50ca2d03e6bffaf5d8b1 VL - 78 ID - 780 ER - TY - JOUR ST - Text and data mining TI - Text and data mining UR - https://www.elsevier.com/about/company-information/policies/text-and-data-mining Y2 - 2016/09/24/20:57:20 ID - 2515 ER - TY - JOUR ST - text and data mining for systematic reviews - Google Search TI - text and data mining for systematic reviews - Google Search UR - https://www.google.com/webhp?sourceid=chrome-instant&ion=1&espv=2&ie=UTF-8#q=text%20and%20data%20mining%20for%20systematic%20reviews Y2 - 2016/09/24/20:25:18 ID - 2469 ER - TY - JOUR AU - Ananiadou, Sophia AU - Kell, Douglas B. AU - Tsujii, Jun-ichi DA - 2006 DP - Google Scholar IS - 12 L1 - internal-pdf://3520709988/Ananiadou-2006-Text mining and its potential a.pdf PY - 2006 SP - 571-579 ST - Text mining and its potential applications in systems biology T2 - Trends in biotechnology TI - Text mining and its potential applications in systems biology UR - http://www.sciencedirect.com/science/article/pii/S0167779906002423 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0167779906002423/1-s2.0-S0167779906002423-main.pdf?_tid=d6c9255c-832c-11e6-a32a-00000aab0f02&acdnat=1474814108_ad21ff7ef25ee12bf6b70d62748aef43 VL - 24 Y2 - 2016/09/24/15:36:22 ID - 2348 ER - TY - JOUR AB - The expansion of biomedical literature is creating the need for efficient tools to keep pace with increasing volumes of information. Text mining (TM) approaches are becoming essential to facilitate the automated extraction of useful biomedical information from unstructured text. We reviewed the applications of TM in psychiatry, and explored its advantages and limitations. A systematic review of the literature was carried out using the CINAHL, Medline, EMBASE, PsycINFO and Cochrane databases. In this review, 1103 papers were screened, and 38 were included as applications of TM in psychiatric research. Using TM and content analysis, we identified four major areas of application: (1) Psychopathology (i.e. observational studies focusing on mental illnesses) (2) the Patient perspective (i.e. patients' thoughts and opinions), (3) Medical records (i.e. safety issues, quality of care and description of treatments), and (4) Medical literature (i.e. identification of new scientific information in the literature). The information sources were qualitative studies, Internet postings, medical records and biomedical literature. Our work demonstrates that TM can contribute to complex research tasks in psychiatry. We discuss the benefits, limits, and further applications of this tool in the future. Copyright (c) 2015 John Wiley & Sons, Ltd. AU - Abbe, Adeline AU - Grouin, Cyril AU - Zweigenbaum, Pierre AU - Falissard, Bruno DA - 2016/06//undefined DO - 10.1002/mpr.1481 IS - 2 J2 - Int J Methods Psychiatr Res KW - applications psychiatry text mining L1 - internal-pdf://2442186215/Abbe-2016-Text mining applications in psychiat.pdf LA - eng PY - 2016 SN - 1557-0657 1049-8931 SP - 86-100 ST - Text mining applications in psychiatry: a systematic literature review T2 - International journal of methods in psychiatric research TI - Text mining applications in psychiatry: a systematic literature review UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1002/mpr.1481/asset/mpr1481.pdf?v=1&t=itipuwyk&s=588dfc4cce6dd28179c271ff28a544a4ade9d13f VL - 25 ID - 292 ER - TY - CONF AB - The text mining, and digital libraries have inter-related benefits and challenges. The scale of digital libraries has continued to grow and the type of services provided by libraries has multiplied. Given this increased amount of available data and metadata of variety of applications in library, text-mining approaches can be effectively employed for identification more accurately domain-specific knowledge, the extraction and the analysis of relevant information. The ability to extract unknown information provides substantial advantage in terms of knowledge gain and reduced manpower. The continued advancement of data and text mining techniques has produced useful and accessible tools. These tools can be used to implement or improve digital library services, including advanced document clustering and automated metadata extraction. In the present paper we explore what key elements should be considered when the users select among different text mining solutions for digital libraries. We also give v\ overview of text mining approaches and available software's suitable for digital library application. AU - Dutta, K. C3 - National Conference on Recent Trends in Library and Information Science (RTLIS-07) Under TEQIP, 15-16 Nov. 2007 DA - 2007 KW - data mining Digital Libraries document handling information retrieval meta data PB - Arun Publishing House Pvt Ltd. PY - 2007 SP - 54-9 ST - Text mining approaches in digital library applications T3 - Proceedings of National Conference on Recent Trends in Library and Information Science (RTLIS-07) Under TEQIP TI - Text mining approaches in digital library applications ID - 1775 ER - TY - CHAP A2 - Kumar, V. D. A2 - Tipney, H. J. AB - In order to understand the mechanisms of drug-drug interaction (DDI), the study of pharmacokinetics (PK), pharmacodynamics (PD), and pharmacogenetics (PG) data are significant. In recent years, drug PK parameters, drug interaction parameters, and PG data have been unevenly collected in different databases and published extensively in literature. Also the lack of an appropriate PK ontology and a well-annotated PK corpus, which provide the background knowledge and the criteria of determining DDI, respectively, lead to the difficulty of developing DDI text mining tools for PK data collection from the literature and data integration from multiple databases. To conquer the issues, we constructed a comprehensive pharmacokinetics ontology. It includes all aspects of in vitro pharmacokinetics experiments, in vivo pharmacokinetics studies, as well as drug metabolism and transportation enzymes. Using our pharmacokinetics ontology, a PK corpus was constructed to present four classes of pharmacokinetics abstracts: in vivo pharmacokinetics studies, in vivo pharmacogenetic studies, in vivo drug interaction studies, and in vitro drug interaction studies. A novel hierarchical three-level annotation scheme was proposed and implemented to tag key terms, drug interaction sentences, and drug interaction pairs. The utility of the pharmacokinetics ontology was demonstrated by annotating three pharmacokinetics studies; and the utility of the PK corpus was demonstrated by a drug interaction extraction text mining analysis. The pharmacokinetics ontology annotates both in vitro pharmacokinetics experiments and in vivo pharmacokinetics studies. The PK corpus is a highly valuable resource for the text mining of pharmacokinetics parameters and drug interactions. AU - Wu, Heng-Yi AU - Chiang, Chien-Wei AU - Li, Lang PY - 2014 SN - 978-1-4939-0709-0 978-1-4939-0708-3 SP - 47-75 ST - Text Mining for Drug-Drug Interaction T2 - Biomedical Literature Mining TI - Text Mining for Drug-Drug Interaction VL - 1159 ID - 2142 ER - TY - JOUR AB - Research in biomedical text mining is starting to produce technology which can make information in biomedical literature more accessible for bio-scientists. One of the current challenges is to integrate and refine this technology to support real-life scientific tasks in biomedicine, and to evaluate its usefulness in the context of such tasks. We describe CRAB - a fully integrated text mining tool designed to support chemical health risk assessment. This task is complex and time-consuming, requiring a thorough review of existing scientific data on a particular chemical. Covering human, animal, cellular and other mechanistic data from various fields of biomedicine, this is highly varied and therefore difficult to harvest from literature databases via manual means. Our tool automates the process by extracting relevant scientific data in published literature and classifying it according to multiple qualitative dimensions. Developed in close collaboration with risk assessors, the tool allows navigating the classified dataset in various ways and sharing the data with other users. We present a direct and user-based evaluation which shows that the technology integrated in the tool is highly accurate, and report a number of case studies which demonstrate how the tool can be used to support scientific discovery in cancer risk assessment and research. Our work demonstrates the usefulness of a text mining pipeline in facilitating complex research tasks in biomedicine. We discuss further development and application of our technology to other types of chemical risk assessment in the future. AU - Korhonen, Anna AU - Seaghdha, Diarmuid O. AU - Silins, Ilona AU - Sun, Lin AU - Hogberg, Johan AU - Stenius, Ulla DA - 2012 DO - 10.1371/journal.pone.0033427 IS - 4 J2 - PLoS One KW - *Software Animals Biomedical Research/*methods Carcinogens/*chemistry Data Mining/*methods Humans Neoplasms/*chemically induced Risk Assessment L1 - internal-pdf://2213268940/Korhonen-2012-Text mining for literature revie.pdf LA - eng PY - 2012 SN - 1932-6203 1932-6203 SP - e33427 ST - Text mining for literature review and knowledge discovery in cancer risk assessment and research T2 - PloS one TI - Text mining for literature review and knowledge discovery in cancer risk assessment and research UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3325219/pdf/pone.0033427.pdf VL - 7 ID - 339 ER - TY - JOUR AU - Nassirtoussi, Arman Khadjeh AU - Aghabozorgi, Saeed AU - Wah, Teh Ying AU - Ngo, David Chek Ling DA - 2014 DP - Google Scholar IS - 16 L1 - http://romisatriawahono.net/lecture/rm/survey/information%20retrieval/Nassirtoussi%20-%20Text%20Mining%20for%20Market%20Prediction%20-%202014.pdf PY - 2014 SP - 7653-7670 ST - Text mining for market prediction T2 - Expert Systems with Applications TI - Text mining for market prediction: A systematic review UR - http://www.sciencedirect.com/science/article/pii/S0957417414003455 VL - 41 Y2 - 2016/09/24/16:03:41 ID - 2411 ER - TY - JOUR AU - Hoffmann, Robert AU - Krallinger, Martin AU - Andres, Eduardo AU - Tamames, Javier AU - Blaschke, Christian AU - Valencia, Alfonso DA - 2005 DP - Google Scholar L1 - http://ubio.bioinfo.cnio.es/people/mkrallinger/Text_Mining_for_Metabolic-STKE.pdf PY - 2005 SP - pe21 ST - Text mining for metabolic pathways, signaling cascades, and protein networks T2 - Sci STKE TI - Text mining for metabolic pathways, signaling cascades, and protein networks UR - http://ubio.bioinfo.cnio.es/people/mkrallinger/Text_Mining_for_Metabolic-STKE.pdf VL - 283 Y2 - 2016/09/24/15:37:02 ID - 2354 ER - TY - CONF AB - Knowledge discovery from large volumes of texts requires many complex analysis steps. We propose a text mining framework where various text handling operations such as similar text search or text clustering can be flexibly combined in various orders for realizing the complex analysis steps needed. Each text is translated into a subject graph that uses node weight to represent the significance of each term and link weight to represent that of each term-term association. The framework provides text handling operations whose inputs and outputs are identical in form, i.e. sets of subject graphs. Based on the framework, we have developed an XML document mining system that has a visual interface and metadata handling operations in addition to text handling operations. A preliminary evaluation shows that the user can interactively and intuitively discover knowledge by combining both text and metadata handling operations in various orders. AU - Tomita, J. AU - Ikeda, T. AU - Satoh, T. C3 - Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies. KES 2002, 16-18 Sept. 2002 DA - 2002 KW - data flow graphs data mining meta data text analysis XML PB - IOS Press PY - 2002 SP - 204-8 ST - Text mining framework based on graph-based text representation T3 - Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies. KES 2002 TI - Text mining framework based on graph-based text representation VL - vol.1 ID - 1544 ER - TY - BLOG ST - Text mining in R – Automatic categorization of Wikipedia articles | Rexamine TI - Text mining in R – Automatic categorization of Wikipedia articles | Rexamine UR - http://www.rexamine.com/2014/06/text-mining-in-r-automatic-categorization-of-wikipedia-articles/ ID - 2529 ER - TY - CONF AB - Strategic alliances among organizations are one of the central drivers of innovation and economy and have raised strong interest among policymakers, strategists and economists. However, discovery of alliances has relied on pure manual search and has limited scope. This research addresses the limitations by proposing a text mining framework that automatically extracts alliances from news articles. The model not only integrates meta-search, entity extraction and shallow and deep linguistic parsing techniques, but also proposes an innovative ADT-based relation extraction method to deal with the extremely skewed and noisy news articles and AC Rank to further improve the precision using various linguistic features. Evaluation from an IBM alliances case study showed that ADT-based extraction achieved 78.1% in recall, 44.7% in precision and 0.569 in F-measure and eliminated over 99% of the noise in document collections. AC Rank further improved precision to 97% with the top-20% extracted alliance instances. Our case study also showed that the widely cited Thomson SDC database only covered less than 20% of total alliances while our automatic approach can covered 67%. AU - Yilu, Zhou AU - Yi, Zhang AU - Vonortas, N. AU - Williams, J. C3 - 2012 45th Hawaii International Conference on System Sciences (HICSS), 4-7 Jan. 2012 DA - 2012 DO - 10.1109/HICSS.2012.86 KW - business data processing data mining information retrieval innovation management organisational aspects Strategic planning text analysis PB - IEEE Computer Society PY - 2012 SP - 3571-80 ST - A text mining model for strategic alliance discovery T3 - 2012 45th Hawaii International Conference on System Sciences (HICSS) TI - A text mining model for strategic alliance discovery UR - http://dx.doi.org/10.1109/HICSS.2012.86 ID - 1562 ER - TY - JOUR PY - 2010 ST - Text Mining Pipeline to Accelerate Systematic Reviews in Evidence-Based Medicine — UICollaboratory Research Profiles TI - Text Mining Pipeline to Accelerate Systematic Reviews in Evidence-Based Medicine — UICollaboratory Research Profiles UR - https://uic.pure.elsevier.com/en/projects/text-mining-pipeline-to-accelerate-systematic-reviews-in-evidence Y2 - 2016/09/24/20:43:41 ID - 2486 ER - TY - JOUR ST - text mining research paper 2013 TI - text mining research paper 2013 UR - http://www.engpaper.net/text-mining-research-paper-2013.htm Y2 - 2016/09/24/20:55:42 ID - 2510 ER - TY - JOUR ST - text mining research papers-4 TI - text mining research papers-4 UR - http://www.engpaper.com/text-mining-research-papers-4.htm Y2 - 2016/09/24/20:55:26 ID - 2509 ER - TY - JOUR AU - Tseng, Yuen-Hsien AU - Lin, Chi-Jen AU - Lin, Yu- I. DA - 2007 DP - Google Scholar IS - 5 L1 - https://pdfs.semanticscholar.org/27e1/9d241b9e370cf0486af1e1ebc85ef72a04a2.pdf PY - 2007 SP - 1216-1247 ST - Text mining techniques for patent analysis T2 - Information Processing & Management TI - Text mining techniques for patent analysis UR - http://www.sciencedirect.com/science/article/pii/S0306457306002020 VL - 43 Y2 - 2016/09/24/15:35:34 ID - 2339 ER - TY - JOUR AB - Text Mining is knowledge discovery process from large database to find out unknown patterns. In many metadata based text mining applications, side information also known as metadata which is associated with the text document. There are different types side information containing large amount of data i.e. metadata, weblogs and non-textual data (image, video, etc.). The side information is difficult to estimate when it contains noisy data. To achieve this, there is scope of improvement in generating side information i.e. selecting efficient classification and clustering algorithms, providing security for clustered side information, document organization, exploring filtering approaches. In future, there is a scope to design an extended approach for clustering using classical partitioning and probabilistic model. [All rights reserved Elsevier]. AU - Bhanuse, S. S. AU - Kamble, S. D. AU - Kakde, S. M. DA - 2016 DO - 10.1016/j.procs.2016.02.061 J2 - Procedia Computer Science KW - data mining meta data pattern clustering Probability text analysis Web sites PY - 2016 SN - 1877-0509 SP - 807-14 ST - Text mining using metadata for generation of side information T2 - Procedia Computer Science TI - Text mining using metadata for generation of side information UR - http://dx.doi.org/10.1016/j.procs.2016.02.061 VL - 78 ID - 1557 ER - TY - CONF AB - This paper discusses an application of some statistical Natural Language Processing algorithms to a set of articles from Wikipedia about top tourist destinations. The objective is to automatically identify the key features of each destination and then discover other destinations which share similar sets of features. Through this a method is demonstrated by which meta data about each article can be extracted from the unstructured text and then used to answer complex discovery type queries. The paper compares an approach to automatically clustering similar destinations with a more user driven feature focused technique. AU - Cosh, K. C3 - 2013 10th International Joint Conference on Computer Scienece and Software Engineering (JCSSE), 29-31 May 2013 DA - 2013 KW - data mining meta data natural language processing query processing text analysis travel industry Web sites PB - IEEE PY - 2013 SP - 43-8 ST - Text Mining Wikipedia to Discover Alternative Destinations T3 - Proceedings of The 2013 10th International Joint Conference on Computer Scienece and Software Engineering (JCSSE) TI - Text Mining Wikipedia to Discover Alternative Destinations ID - 1635 ER - TY - JOUR AB - Hypothesis generation, a crucial initial step for making scientific discoveries, relies on prior knowledge, experience, and intuition. Chance connections made between seemingly distinct subareas sometimes turn out to be fruitful. The goal in text mining is to assist in this process by automatically discovering a small set of interesting hypotheses from a suitable text collection. In this report, we present open and closed text mining algorithms that are built within the discovery framework established by Swanson and Smalheiser. Our algorithms represent topics using metadata profiles. When applied to MEDLINE, these are MeSH based profiles. We present experiments that demonstrate the effectiveness of our algorithms. Specifically, our algorithms successfully generate ranked term lists where the key terms representing novel relationships between topics are ranked high. AU - Srinivasan, P. DA - 2004 DO - 10.1002/asi.10389 IS - 5 J2 - Journal of the American Society for Information Science and Technology KW - data mining meta data scientific information systems text analysis PY - 2004 SN - 1532-2882 SP - 396-413 ST - Text mining: generating hypotheses from MEDLINE T2 - Journal of the American Society for Information Science and Technology TI - Text mining: generating hypotheses from MEDLINE UR - http://dx.doi.org/10.1002/asi.10389 VL - 55 ID - 1666 ER - TY - JOUR AU - Van Driel, Marc A. AU - Bruggeman, Jorn AU - Vriend, Gert AU - Brunner, Han G. AU - Leunissen, Jack A. M. DA - 2006 DP - Google Scholar IS - 5 PY - 2006 SP - 535-542 ST - A text-mining analysis of the human phenome T2 - European journal of human genetics TI - A text-mining analysis of the human phenome UR - http://www.nature.com/ejhg/journal/v14/n5/abs/5201585a.html http://status.nature.com/ VL - 14 Y2 - 2016/09/24/15:33:48 ID - 2323 ER - TY - CONF AB - Large-scale automated meta-analysis of neuroimaging data has recently established itself as an important tool in advancing our understanding of human brain function. This research has been pioneered by NeuroSynth, a database collecting both brain activation coordinates and associated text across a large cohort of neuroimaging research papers. One of the fundamental aspects of such meta-analysis is text-mining. To date, word counts and more sophisticated methods such as Latent Dirichlet Allocation have been proposed. In this work we present an unsupervised study of the NeuroSynth text corpus using Deep Boltzmann Machines (DBMs). The use of DBMs yields several advantages over the aforementioned methods, principal among which is the fact that it yields both word and document embeddings in a high-dimensional vector space. Such embeddings serve to facilitate the use of traditional machine learning techniques on the text corpus. The proposed DBM model is shown to learn embeddings with a clear semantic structure. AU - Monti, R. AU - Lorenz, R. AU - Leech, R. AU - Anagnostopoulos, C. AU - Montana, G. C3 - 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 22-24 June 2016 DA - 2016 DO - 10.1109/PRNI.2016.7552329 KW - biomedical MRI Boltzmann machines data mining learning (artificial intelligence) medical image processing text analysis PB - IEEE PY - 2016 SP - 4-pp. ST - Text-mining the NeuroSynth corpus using Deep Boltzmann Machines T3 - 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI) TI - Text-mining the NeuroSynth corpus using Deep Boltzmann Machines UR - http://dx.doi.org/10.1109/PRNI.2016.7552329 ID - 1870 ER - TY - JOUR AB - Quantum chemical calculations have been performed by using hybrid meta functional (M06-2X) to describe the hydrogen bonding interactions between the lignite monomer and water molecules. The characteristic and stability of water clusters in lignite monomer-water complexes were investigated and the solvent effects on geometries and hydrogen-bond energies were analyzed. The results indicated that the total hydrogen-bond energy gradually enhanced with increase of the number of water molecule because of hydrogen bonding cooperative interactions. The different features of water cluster were observed in the lignite monomer-water mixture. The significant changes in water clusters were not observed compared to the structures in gas phase, and the interaction energies decreased substantially. The length of hydrogen-bond was averaged due to solvent effect. The conclusion was consistent with the infrared analysis. 2015 Pleiades Publishing, Ltd. AU - Tang, Hai-Yan AU - Wang, Xin-Hua AU - Feng, Li AU - Cao, Ze-Xing AU - Liu, Xiang-Chun DA - 2015 DO - 10.1134/S0036024415090137 IS - 9 J2 - Russian Journal of Physical Chemistry A KW - Chemical bonds Hydrogen bonds Lignite Molecules Monomers Quantum chemistry Solvents N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 00360244 SP - 1605-1613 ST - Theoretical study on the interactions between the lignite monomer and water molecules T2 - Russian Journal of Physical Chemistry A TI - Theoretical study on the interactions between the lignite monomer and water molecules UR - http://dx.doi.org/10.1134/S0036024415090137 VL - 89 ID - 670 ER - TY - CONF A2 - Zaphiris, P. A2 - Buchanan, G. A2 - Rasmussen, E. A2 - Loizides, F. AB - The following topics are dealt with: digital libraries; user behaviour; mobiles library; cultural heritage; sustainability; preservation; linked data; document analysis; document enrichment; metadata quality; content quality; folksonomy; ontology; information retrieval; organising collections; information extraction; and information indexing. C3 - Theory and Practice of Digital Libraries. Second International Conference, TPDL 2012, 23-27 Sept. 2012 DA - 2012 KW - behavioural sciences Digital Libraries History indexing information retrieval meta data mobile computing ontologies (artificial intelligence) PB - Springer-Verlag PY - 2012 SP - xvi+519 ST - Theory and Practice of Digital Libraries. Second International Conference, TPDL 2012. Proceedings: LNCS 7489 TI - Theory and Practice of Digital Libraries. Second International Conference, TPDL 2012. Proceedings: LNCS 7489 ID - 851 ER - TY - JOUR AB - Activated carbons (ACs) made from peach and plum stones were oxidized and impregnated with salts of Cu(II), Fe(III), Ni(II) and Cr(III). The chemically modified ACs, along with a commercial AC (S208c), were saturated with ortho- (OCP) and meta-chlorophenol (MCP) to investigate the potential for thermally regenerating the spent ACs. The thermal regeneration process was monitored by thermal analysis (TGA/DSC), gas chromatography and mass spectrometry (GC/MS). Thermal desorption profiles showed that in most cases weight losses occur in two steps (weak physisorption at 220 C and strong chemisorption at 620 C). Intermediate steps at 400 C appeared in samples whose chemical treatments successfully weakened the interactions between strongly chemisorbed chlorophenol (CP) molecules and AC surfaces. The type and quantity of products of OCP and MCP desorption during the thermal regeneration of a spent AC depend on the chemical modification given to the AC prior to its use as CP adsorbent. Besides the original chlorophenols, thermal regeneration products can include chlorobenzene, dichloro-dibenzofuran, phenol, aliphatic and aromatic hydrocarbons, water, chlorides, carbon oxides, hydrogen, and char deposits. Mechanisms for the formation of these compounds are discussed. The char deposits built during this study did not appear to diminish the surface area or porosity of the chemically modified ACs following their thermal regeneration. 2006 Elsevier B.V. All rights reserved. AU - Maroto-Valer, M. Mercedes AU - Dranca, Ion AU - Clifford, David AU - Lupascu, Tudor AU - Nastas, Raisa AU - Leon y Leon, Carlos A. DA - 2006 DO - 10.1016/j.tca.2006.03.004 IS - 2 J2 - Thermochimica Acta KW - Activated carbon Adsorption Aromatic compounds differential scanning calorimetry Gas chromatography Impregnation Mass Spectrometry Oxidation Salts Thermogravimetric analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2006 SN - 00406031 SP - 148-156 ST - Thermal regeneration of activated carbons saturated with ortho- and meta-chlorophenols T2 - Thermochimica Acta TI - Thermal regeneration of activated carbons saturated with ortho- and meta-chlorophenols UR - http://dx.doi.org/10.1016/j.tca.2006.03.004 VL - 444 ID - 1506 ER - TY - JOUR AB - Objectives: The outcome of apicectomy in clinical reality is supposed to be different compared to outcomes reported from clinical trials. The objective of this study was to measure the outcome of apicectomies under practice conditions by mining an insurance data base. Methods: This retrospective study was based on claims data of a major German national health insurance company (BARMER GEK). Through the company's data warehouse fee codes and treatment dates were accessible and allowed the tracing of clinical courses. Kaplan-Meier survival analyses for the target event 'extraction' were conducted for all teeth that underwent apicectomies within a 3 year period. Testing for differences among survival rates across groups was performed with the Log-Rank-test. Results: A total of 93,797 teeth in 77,636 patients could be traced after apicectomy. The cumulative 3-year survival rate was 81.6%. Anterior teeth showed a significantly higher survival rate of 84.0% compared to premolars (80.4%) and molars (80.2%). The survival rate in men (83.5%) was significantly higher than in women (80.6%). Analysis of survival by age revealed continuously declining survival rates with age (93.3% for subjects under 18 years of age to 75.6% for subjects over 84 years of age). Conclusions: The 3-year outcomes of apicectomy were still acceptable for an intervention that is mostly conducted as a retreatment after failure of a preceding measure. However at a population level, the question remains to be answered whether other treatment options would potentially be more effective. (C) 2015 Elsevier Ltd. All rights reserved. AU - Raedel, Michael AU - Hartmann, Andrea AU - Bohm, Steffen AU - Walter, Michael H. DA - 2015/10// DO - 10.1016/j.jdent.2015.07.016 IS - 10 PY - 2015 SN - 0300-5712 SP - 1218-1222 ST - Three-year outcomes of apicectomy (apicoectomy): Mining an insurance database T2 - Journal of Dentistry TI - Three-year outcomes of apicectomy (apicoectomy): Mining an insurance database VL - 43 ID - 2020 ER - TY - JOUR AB - BACKGROUND: Post-treatment hypothyroidism is common in Graves' disease, and clinical guidelines recommend monitoring for it; however, thyroid stimulating hormone (TSH) can remain suppressed in these patients following treatment. The objectives of this study were to explore the proposed pathophysiology behind the phenomenon of post-therapy TSH suppression and to systematically review existing clinical data on post-therapy TSH suppression in patients with Graves' disease. SOURCE: A systematic literature search was performed using EMBASE and PubMed databases, with several combinations of MeSH terms. Bibliography mining was also done on relevant articles to be as inclusive as possible. PRINCIPAL FINDINGS: A total of 18 articles described possible mechanisms for post-therapy TSH suppression. Several of the studies demonstrate evidence of thyrotroph atrophy and hypothesize that this contributes to the ongoing suppression. TSH receptors have been identified in folliculo-stellate cells of the pituitary as well as astroglial cells of the hypothalamus, mediating paracrine feedback. A few studies have demonstrated inverse correlation between autoantibody titres and TSH levels, suggestive of their role in mediating ongoing TSH suppression in patients with Graves' disease. In addition, five studies were identified that provided clinical data on the duration of TSH suppression. Combined data show that 45.5% of patients recover TSH by 3 months after treatment, increasing to 69.3% by 6 months, and plateauing to 73.8% by 12 months (p>0.0001). Sub-analysis also shows that for patients who are TBII negative, 80.7% recover their TSH by 6 months compared with only 58.7% in those who are TBII positive (p= 0.003). CONCLUSION: Clinical data suggests that TSH recovery is most likely to occur within the first 6 months after treatment, with recovery plateauing at approximately 70% of patients, suggesting that reliance on this assay for monitoring can be very misleading. Furthermore, TBII positivity is associated with lower likelihood of TSH recovery. Pathophysiology behind suppressed TSH involves not only anatomical but also autoimmune mechanisms. AU - Yu, Huan AU - Farahani, Pendar DA - 2015 IS - 2 J2 - Clin Invest Med KW - Graves Disease/*physiopathology/therapy Humans Thyrotropin/*blood/physiology Time Factors LA - eng PY - 2015 SN - 1488-2353 0147-958X SP - E31-44 ST - Thyroid stimulating hormone suppression post-therapy in patients with Graves' disease: a systematic review of pathophysiology and clinical data T2 - Clinical and investigative medicine. Medecine clinique et experimentale TI - Thyroid stimulating hormone suppression post-therapy in patients with Graves' disease: a systematic review of pathophysiology and clinical data VL - 38 ID - 173 ER - TY - CONF AB - We present a time series data analysis for sport skill using data mining methods from motion pictures, focused on table tennis. We do not use body model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table tennis, and discuss mono and meta-functional skills for improving skills. 2012 IEEE. AU - Maeda, Toshiyuki AU - Fujii, Masanori AU - Hayashi, Isao C3 - 2012 12th International Conference on Intelligent Systems Design and Applications, ISDA 2012, November 27, 2012 - November 29, 2012 DA - 2012 DO - 10.1109/ISDA.2012.6416570 KW - data mining Intelligent systems Knowledge acquisition Motion pictures SportS Systems analysis time series N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SN - 21647143 SP - 392-397 ST - Time series data analysis for sport skill T3 - International Conference on Intelligent Systems Design and Applications, ISDA TI - Time series data analysis for sport skill UR - http://dx.doi.org/10.1109/ISDA.2012.6416570 ID - 1564 ER - TY - JOUR AB - Twenty four subcalcic garnets from the Finsch mine (SA) were analysed for major and trace elements and Lu-Hf and Sm-Nd-isotopes. Subcalcic garnets are common in heavy mineral concentrates from kimberlites where they stem from disrupted (cpx-free) harzburgites and dunites and they occur as inclusions in diamonds. They control the abundance of most trace elements in such rock types. Thus, the investigation of the trace elements and isotopic composition of subcalcic garnets should directly provide information on the origin, genesis and the age of their host rock.We were able to distinguish two groups of garnets: group-1 with low Cr# (11.4), which correlates negatively with CaO and positively with (Lu/Er)N and group-2 displaying high and variable Cr# (10.9-34.3) but constantly low (Lu/Er)N. These findings imply that group-1 garnets were mainly generated by depletion in the garnet and group-2 garnets by partial melting in the spinel stability field. Group-1 garnets yield a well defined Hf isochron with an age of 2.520.06 Ga, likely representing the final depletion of the subcratonic mantle. The high initial of this isochron (Hf-+25) indicates that the mantle was already significantly depleted prior to this last depletion event. Group-2 garnets scatter around this isochron at very low Lu/Hf ratios. Sm-Nd does not yield a well defined isochron for either garnet group. Group-1 garnets form an errorchron corresponding to about 1.30.39 Ga, while most of group-2 garnets form an errorchron corresponding to 0.40.12 Ga.These findings imply that the present day mantle underneath Finsch (and by inference of the Kaapvaal craton) is the residue of multiple, in situ depletions interfaced with subducted residues of partial melting at low pressures in ocean ridge like settings. The first depletion may have been at around 3.6 Ga for group-1 garnets and occurred mainly in the garnet stability field. For group-2 garnets, the first depletion event took place at low pressures in the spinel or plagioclase stability field prior to 2.5 Ga. The second and final depletion event took place at around 2.5 Ga in the garnet stability field underneath an existing continental crust. This depleted mantle was subsequently meta somatized at least twice. Re-enrichment occurred in two stages, one at around 1.30.39 Ga by a subduction related fluid phase and a second at around 0.40.12 Ga with melt as metasomatic agent. [All rights reserved Elsevier]. AU - Lazarov, M. AU - Brey, G. P. AU - Weyer, S. DA - 2009/03/15/ DO - 10.1016/j.epsl.2008.12.015 IS - 1-2 J2 - Earth and Planetary Science Letters KW - Earth crust Earth mantle Geochemistry isotope relative abundance minerals tectonics L1 - internal-pdf://1758179117/Lazarov-2009-Time steps of depletion and enric.pdf PY - 2009 SN - 0012-821X SP - 1-10 ST - Time steps of depletion and enrichment in the Kaapvaal craton as recorded by subcalcic garnets from Finsch (SA) T2 - Earth and Planetary Science Letters TI - Time steps of depletion and enrichment in the Kaapvaal craton as recorded by subcalcic garnets from Finsch (SA) UR - http://dx.doi.org/10.1016/j.epsl.2008.12.015 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0012821X08007619/1-s2.0-S0012821X08007619-main.pdf?_tid=fe05fee8-833f-11e6-b78e-00000aacb362&acdnat=1474822335_ab26871db7eadde73c77b1b0757940b1 VL - 279 ID - 481 ER - TY - CONF AB - Beyond the database normalization process, much work has been done on the use of functional dependencies (FDs), their discovery using mining techniques, their use in query optimization and in the design of algorithms dealing with the implication problem etc. Nevertheless, although much research expounds the benefits of using functional dependencies, only a few modeling tools actually use them. In this work we present CBD, a new software development tool which allows end users to specify their requirements. CBD allows the user to design his/her own GUI for the application using forms and interface elements and it builds a meta-data dictionary with information on functional dependencies. This data dictionary will be used to generate the unified data model and a behavior model. AU - Rossi, Carlos AU - Guevara, Antonio AU - Enciso, Manuel AU - Caro, Jose Luis AU - Mora, Angel AU - Cordero, Pablo C3 - 5th International Conference on Software and Data Technologies, ICSOFT 2010, July 22, 2010 - July 24, 2010 DA - 2010 KW - Design Requirements engineering Software Design Specifications N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. for Syst. and Technol. of Inf. Control and Commun. PY - 2010 SP - 195-200 ST - A tool for user-guided database application development: Automatic design of XML models using CBD T3 - ICSOFT 2010 - Proceedings of the 5th International Conference on Software and Data Technologies TI - A tool for user-guided database application development: Automatic design of XML models using CBD VL - 2 ID - 671 ER - TY - JOUR AB - Background: Because meta-analyses are increasingly prevalent and cited in the medical literature, it is important that tools are available to assess their methodological quality. When performing an empirical study of the quality of published meta-analyses, we found that existing tools did not place a strong emphasis on statistical and interpretational issues. Methods: We developed a quality-assessment tool using existing materials and expert judgment as a starting point, followed by multiple iterations of input from our working group, piloting, and discussion. After having used the tool for our empirical study, agreement for four key items in the tool was measured using weighted kappa coefficients. Results: Our tool contained 43 items divided into four key areas (data sources, analysis of individual studies, meta-analysis methods, and interpretation), and each area ended with a summary question. We also produced guidance for completing the tool. Agreement between raters was fair to moderate. Conclusions: The tool should usefully inform subsequent initiatives to develop quality-assessment tools for meta-analysis. We advocate use of consensus between independent raters when assessing statistical appropriateness and adequacy of interpretation in meta-analyses. AU - T, P. AU - Lane, Peter W. AU - Anagnostelis, Betsy AU - Anzures‐Cabrera, Judith AU - Baker, Nigel F. AU - Cappelleri, Joseph C. AU - Haughie, Scott AU - Hollis, Sally AU - Lewis, Steff C. AU - Moneuse, Patrick AU - Whitehead, Anne DA - 2013 DO - 10.1002/jrsm.1092 DP - APA PsycNET IS - 4 KW - *Data Mining *Meta Analysis Statistical Estimation LA - English PY - 2013 SN - 1759-2887 1759-2879 SP - 351-366 ST - A tool to assess the quality of a meta‐analysis T2 - Research Synthesis Methods TI - A tool to assess the quality of a meta‐analysis UR - http://psycnet.apa.org.ezproxy.lib.vt.edu/index.cfm?fa=search.displayRecord&id=3FADC1DE-9041-E9D3-1B0A-3623CB6197E7&resultID=3&page=1&dbTab=all&search=true VL - 4 ID - 451 ER - TY - JOUR AB - Service-oriented development is challenging mainly because Web service developers tend to disregard the importance of the exposed service APIs, which are specified using Web Service Description Language (WSDL) documents. Methodologically, WSDL documents can be either manually generated or inferred from service implementations using WSDL generation tools. The latter option, called code first, is the most used approach in the industry. However, it is known that there are some bad practices in service implementations or defects in WSDL generation tools that may cause WSDL documents to present WSDL anti-patterns, which in turn compromise the chances of documents of being discovered and understood. In this paper, we present a software tool that assists developers in obtaining WSDL documents with as few WSDL anti-patterns as possible. The tool combines text mining and meta-programming techniques to process service implementations and is developed as an Eclipse plug-in. An evaluation of the tool by using a data-set of real service implementations in terms of anti-pattern avoidance accuracy and discovery performance by using classical Information Retrieval metrics-Precision-at-n, Recall and Normalized Discounted Cumulative Gain-is also reported.Copyright 2014 John Wiley Sons, Ltd. AU - Mateos, C. AU - Rodriguez, J. M. AU - Zunino, A. DA - 2015/07// DO - 10.1002/spe.2268 IS - 7 J2 - Software: Practice and Experience KW - data mining information retrieval text analysis Web services PY - 2015 SN - 0038-0644 SP - 925-48 ST - A tool to improve code-first Web services discoverability through text mining techniques T2 - Software: Practice and Experience TI - A tool to improve code-first Web services discoverability through text mining techniques UR - http://dx.doi.org/10.1002/spe.2268 VL - 45 ID - 1657 ER - TY - BOOK AB - In this demonstration, we show three interrelated tools intended to improve different aspects of the quality of data warehouse solutions. Firstly, the deductive object manager ConceptBase is intended to enrich the semantics of data warehouse solutions by including an explicit enterprise-centered concept of quality. The positive impact of precise multidimensional data models on the client interface is demonstrated by CoDecide, an Internet-based toolkit for the flexible visualization of multiple, interrelated data cubes. Finally, MIDAS is a hybrid data mining system which analyses multi-dimensional data to further enrich the semantics of the meta database, using a combination of neural network techniques, fuzzy logic, and machine learning. AU - Gebhardt, M. AU - Jarke, M. AU - Jeusfeld, M. A. AU - Quix, C. AU - Sklorz, S. DA - 1998 PY - 1998 SN - 0-8186-8575-1 ST - Tools for data warehouse quality TI - Tools for data warehouse quality ID - 2100 ER - TY - CONF AB - This paper discusses a set of intergrated tools that can undercover existing and emerging social networks on the Web using documents harvested via search agent and crawling techniques. The tool set includes a smart spider text-mining tools that extract and categorize metadata found in the collected documents, and tools to determine and display semantic relationships between various entities using clustering and link analysis techniques. The principal purpose of the research is to uncover existing and emerging social communities on the Web and to track their changes over time. AU - Helm, D. AU - D'Amore, R. AU - Valley, G. AU - Konchady, M. C3 - IASTED International Conference on Information and Knowledge Sharing, 18-20 Nov. 2002 DA - 2002 KW - Computer Networks Electronic mail groupware information retrieval Information services Information technology meta data text analysis Web sites PB - Acta Press PY - 2002 SP - 128-32 ST - A toolset for determining social networks on the Web T3 - Proceedings of the IASTED International Conference Information and Knowledge Sharing TI - A toolset for determining social networks on the Web ID - 895 ER - TY - JOUR AB - INTRODUCTION: Clinicians are regularly confronted with difficult choices. Should a tooth that has not healed through nonsurgical root canal treatment be treated through endodontic microsurgery or be replaced using a single implant? Acquiring complete, unbiased information to help clinicians and their patients make these choices requires a systematic review of the literature on treatment outcomes. The purpose of this systematic review was to compare the outcomes of tooth retention through endodontic microsurgery to tooth replacement using an implant supported single crown. METHODS: Searches performed in PubMed, Cochrane Library, Web of Science, and EMBASE databases were enriched by citation mining. Inclusion criteria were defined. Sentinel articles were identified and included in the final selection of studies. Weighted survival and success rates for single implants and endodontic microsurgery were calculated. RESULTS: The quality of the articles reporting on single implants and endodontic microsurgery was moderate. Data for single implants were much more plentiful than for endodontic microsurgery, but the endodontic microsurgery studies had a slightly higher quality rating. Single implants and endodontic microsurgery were not directly compared in the literature. Outcomes criteria were often unclear. At 4-6 years, single implants had higher survival rates than teeth treated with endodontic microsurgery. Qualitatively different success criteria precluded valid comparison of success rates. CONCLUSIONS: Survival rates for single implants and endodontic microsurgery were both high (higher for single implants). Appraisal was limited by a lack of direct treatment comparisons. Long-term studies with a broad range of carefully defined outcomes criteria are needed. AU - Torabinejad, Mahmoud AU - Landaez, Maria AU - Milan, Marites AU - Sun, Chun Xiao AU - Henkin, Jeffrey AU - Al-Ardah, Aladdin AU - Kattadiyil, Mathew AU - Bahjri, Khaled AU - Dehom, Salem AU - Cortez, Elisa AU - White, Shane N. DA - 2015/01//undefined DO - 10.1016/j.joen.2014.09.002 IS - 1 J2 - J Endod KW - Endodontic microsurgery single implants Systematic review LA - eng PY - 2015 SN - 1878-3554 0099-2399 SP - 1-10 ST - Tooth retention through endodontic microsurgery or tooth replacement using single implants: a systematic review of treatment outcomes T2 - Journal of endodontics TI - Tooth retention through endodontic microsurgery or tooth replacement using single implants: a systematic review of treatment outcomes VL - 41 ID - 136 ER - TY - JOUR AB - Systematic reviews require expert reviewers to manually screen thousands of citations in order to identify all relevant articles to the review. Active learning text classification is a supervised machine learning approach that has been shown to significantly reduce the manual annotation workload by semi-automating the citation screening process of systematic reviews. In this paper, we present a new topic detection method that induces an informative representation of studies, to improve the performance of the underlying active learner. Our proposed topic detection method uses a neural network-based vector space model to capture semantic similarities between documents. We firstly represent documents within the vector space, and cluster the documents into a predefined number of clusters. The centroids of the clusters are treated as latent topics. We then represent each document as a mixture of latent topics. For evaluation purposes, we employ the active learning strategy using both our novel topic detection method and a baseline topic model (i.e., Latent Dirichlet Allocation). Results obtained demonstrate that our method is able to achieve a high sensitivity of eligible studies and a significantly reduced manual annotation cost when compared to the baseline method. This observation is consistent across two clinical and three public health reviews. The tool introduced in this work is available from https://nactem.ac.uk/pvtopic/. 2016 The Authors. AU - Hashimoto, Kazuma AU - Kontonatsios, Georgios AU - Miwa, Makoto AU - Ananiadou, Sophia DA - 2016 DO - 10.1016/j.jbi.2016.06.001 J2 - Journal of Biomedical Informatics KW - artificial intelligence Classification (of information) Learning systems Semantics Statistics Supervised learning Text processing Vectors Vector spaces L1 - internal-pdf://3403757026/Hashimoto-2016-Topic detection using paragraph.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 15320464 SP - 59-65 ST - Topic detection using paragraph vectors to support active learning in systematic reviews T2 - Journal of Biomedical Informatics TI - Topic detection using paragraph vectors to support active learning in systematic reviews UR - http://dx.doi.org/10.1016/j.jbi.2016.06.001 http://ac.els-cdn.com/S1532046416300442/1-s2.0-S1532046416300442-main.pdf?_tid=81e1d074-8337-11e6-ba2e-00000aacb35e&acdnat=1474818690_469151e250ab9c6100b8a719ac9ae41e VL - 62 ID - 1045 ER - TY - CONF AB - In Internet marketing, Web audience analysis is essential to understanding the visitors' needs. However, the existing analysis tools fail to deliver summarized and conceptual metrics needed by organization managers and Web site editors. The reason is that HTTP transaction metadata mined by these tools do not include the text content sent to the browsers. In this paper, we first describe the various methods that we conceived to mine the Web pages output by Web servers. These methods include content journaling, script parsing, server monitoring, network monitoring, and client-side mining. Then, for a given ontology, we count the occurrences of ontology entries in the mined pages, and we compare the results to the term weights in the online pages. By aggregating the metrics in the ontology, we obtain audience metrics which should represent the Web site topics. Finally, we validate our approach with experiments on real data using SQL server OLAP and our prototype WASA. AU - Norguet, J. P. AU - Zimanyi, E. C3 - Proceedings. 2006 International Conference on Intelligence For Modelling, Control and Automation. Jointly with International Conference on Intelligent Agents, Web Technologies and Internet Commerce, 28-30 Nov. 2005 DA - 2005 KW - data mining Electronic commerce Internet marketing data processing meta data ontologies (artificial intelligence) N1 -CD-ROM
PB - IEEE PY - 2005 SP - 6-pp. ST - Topic-based audience metrics for Internet marketing by combining ontologies and output page mining T3 - Proceedings. 2006 International Conference on Intelligence For Modelling, Control and Automation. Jointly with International Conference on Intelligent Agents, Web Technologies and Internet Commerce TI - Topic-based audience metrics for Internet marketing by combining ontologies and output page mining ID - 1543 ER - TY - JOUR AB - The entrapment of environmentally important materials to enable containment of polluting wastes from industry or energy production, storage of alternative fuels, or water sanitation, is of vital and immediate importance. Many of these materials are small molecules or ions that can be encapsulated via their adsorption into framework structures to create a host-guest complex. This is an ever-growing field of study and, as such, the search for more suitable porous materials for environmental applications is fundamental to progress. However, many industrial areas that require the use of adsorbents are fraught with practical challenges, such as high temperatures, rapid gas expansion, radioactivity, or repetitive gas cycling, that the host material must withstand. Inorganic phosphates have a proven history of rigid structures, thermal stability, and are suspected to possess good resistance to radiation over geologic time scales. Furthermore, various experimental studies have established their ability to adsorb small molecules, such as water. In light of this, all known crystal structures of phosphate frameworks with meta- (P3O9) or ultra- (P5O14) stoichiometries are combined in a data-mining survey together with all theoretically possible structures of LnaPbOc(where a, b, c are any integer, and Ln = La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, or Tm) that are statistically likely to form. Topological patterns within these framework structures are used to assess their suitability for hosting a variety of small guest molecules or ions that are important for environmental applications: CO2, H2O, UO2, PuO2, U, Pu, Sr2+, Cs+, CH4, and H2. A range of viable phosphate-based host-guest complexes are identified from this data-mining and pattern-based structural analysis. Therein, distinct topological preferences for hosting such guests are found, and metaphosphate stoichiometries are generally preferred over ultraphosphate configurations. 2016 American Chemical Society. AU - Cramer, Alisha J. AU - Cole, Jacqueline M. DA - 2016 DO - 10.1021/acssuschemeng.6b00316 IS - 8 J2 - ACS Sustainable Chemistry and Engineering KW - Alternative fuels Carbon dioxide Cesium data mining Digital storage Fuel storage Ions Molecules Phosphates Porous materials Radioactive wastes Sanitation Stoichiometry Storage (materials) Topology L1 - internal-pdf://1255387090/Cramer-2016-Topological analysis of void space.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 21680485 SP - 4094-4112 ST - Topological analysis of void space in phosphate frameworks: Assessing storage properties for the environmentally important guest molecules and ions: CO2, H2O, UO2, PuO2, U, Pu, Sr2+, Cs+, CH4, and H2 T2 - ACS Sustainable Chemistry and Engineering TI - Topological analysis of void space in phosphate frameworks: Assessing storage properties for the environmentally important guest molecules and ions: CO2, H2O, UO2, PuO2, U, Pu, Sr2+, Cs+, CH4, and H2 UR - http://dx.doi.org/10.1021/acssuschemeng.6b00316 http://pubs.acs.org.ezproxy.lib.vt.edu/doi/pdfplus/10.1021/acssuschemeng.6b00316 VL - 4 ID - 1346 ER - TY - CONF AB - Research suggests that certain practices of the construction industry have left the construction profession with an unethical stigma. To curb such behaviorial perception, construction programs should provide students with an awareness of unethical practices of the profession as the first step toward ethical decision making. The intent of this study is to suggest a topic-based meta-framework for teaching ethics to construction students, highlighting what noneducational construction research considers ethical topics. This study uses qualitative textual analysis to extract ethical topics from noneducational research from 65 research papers that closely relates themes of construction and ethical issues of the profession. Emergent themes (modules) based on topic extraction groups into two categories of ethical issues in construction practice (i.e., professional issues and societal issues). It is the authors' hopes that the list of ethical topics and modules developed are a source of inspiration for those educators honored with the duty to instruct. 2014 American Society of Civil Engineers. AU - Sands, Kenneth AU - Pearce, Annie C3 - 2014 Construction Research Congress: Construction in a Global Network, CRC 2014, May 19, 2014 - May 21, 2014 DA - 2014 DO - 10.1061/9780784413517.0039 KW - construction industry data mining Philosophical aspects Research Students N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Society of Civil Engineers (ASCE) PY - 2014 SP - 379-388 ST - Toward a framework for construction ethics education: A meta-framework of construction ethics education topics T3 - Construction Research Congress 2014: Construction in a Global Network - Proceedings of the 2014 Construction Research Congress TI - Toward a framework for construction ethics education: A meta-framework of construction ethics education topics UR - http://dx.doi.org/10.1061/9780784413517.0039 ID - 1541 ER - TY - CONF AB - We describe a framework for the display of complex, multidimensional data, designed to facilitate exploration, analysis, and collaboration among multiple analysts. This framework aims to support human collaboration by making it easier to share representations, to translate from one point of view to another, to explain arguments, to update conclusions when underlying assumptions change, and to justify or account for decisions or actions. Multidimensional visualization techniques are used with interactive, context-sensitive, and tunable graphs. Visual representations are flexibly generated using a knowledge representation scheme based on annotated logic; this enables not only tracking and fusing different viewpoints, but also unpacking them. Fusing representations supports the creation of multidimensional meta-displays as well as the translation or mapping from one point of view to another. At the same time, analysts also need to be able to unpack one another's complex chains of reasoning, especially if they have reached different conclusions, and to determine the implications, if any, when underlying assumptions or evidence turn out to be false. The framework enables us to support a variety of scenarios as well as to systematically generate and test experimental hypotheses about the impact of different kinds of visual representations upon interactive collaboration by teams of distributed analysts. 2006 IEEE. AU - Brennan, Susan E. AU - Mueller, Klaus AU - Zelinsky, Greg AU - Ramakrishnan, I. V. AU - Warren, David S. AU - Kaufman, Arie C3 - IEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006, October 31, 2006 - November 2, 2006 DA - 2006 DO - 10.1109/VAST.2006.261439 KW - Computer supported cooperative work data mining Distributed computer systems Information Management knowledge representation Multi agent systems visualization Visual servoing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2006 SP - 129-136 ST - Toward a multi-analyst, collaborative framework for visual analytics T3 - IEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 - Proceedings TI - Toward a multi-analyst, collaborative framework for visual analytics UR - http://dx.doi.org/10.1109/VAST.2006.261439 ID - 814 ER - TY - JOUR AB - The overall research goal of this project is to provide hypermedia functionality to information systems (ISs) not enhanced with hypermedia with minimal or no changes to the ISs. ISs dynamically generate their contents and thus require some mapping mechanism to automatically map the generated contents to hypermedia constructs (nodes, links and link markers) instead of hypermedia links being hardcoded over static contents. No systematic approach exists, however, for identifying information relationships and building mapping rules to infer useful links that give users direct access to the ISs' primary functionality, give access to meta-information about IS objects, give access to relationships among information objects and enable annotation and ad hoc (user-declared) linking. This paper contributes a procedure for analyzing ISs and building mapping rules that supplement ISs with hypermedia support, which results in new ways to view and manage the IS's knowledge and information relationships. AU - Chiu, Chao-Min AU - Bieber, Michael DA - 2001 DO - 10.1177/0165551014233581 IS - 2 J2 - Journal of Information Science KW - Computer architecture data mining Html Hypermedia systems Information Management Telecommunication links World Wide Web XML N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2001 SN - 01655515 SP - 93-100 ST - Toward hypermedia support for information relationship management T2 - Journal of Information Science TI - Toward hypermedia support for information relationship management UR - http://dx.doi.org/10.1177/0165551014233581 VL - 27 ID - 1032 ER - TY - JOUR AU - Wallace, Byron C. AU - Small, Kevin AU - Brodley, Carla E. AU - Lau, Joseph AU - Schmid, Christopher H. AU - Bertram, Lars AU - Lill, Christina M. AU - Cohen, Joshua T. AU - Trikalinos, Thomas A. DA - 2012 DP - Google Scholar IS - 7 L1 - internal-pdf://2856877232/gim20127a.pdf PY - 2012 SP - 663-669 ST - Toward modernizing the systematic review pipeline in genetics T2 - Genetics in medicine TI - Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining UR - http://www.nature.com/gim/journal/v14/n7/abs/gim20127a.html http://www.nature.com/gim/journal/v14/n7/full/gim20127a.html VL - 14 Y2 - 2016/09/24/16:00:21 ID - 2396 ER - TY - JOUR AB - Biological processes are fundamentally driven by complex interactions between biomolecules. Integrated high-throughput omics studies enable multifaceted views of cells, organisms, or their communities. With the advent of new post-genomics technologies, omics studies are becoming increasingly prevalent; yet the full impact of these studies can only be realized through data harmonization, sharing, meta-analysis, and integrated research. These essential steps require consistent generation, capture, and distribution of metadata. To ensure transparency, facilitate data harmonization, and maximize reproducibility and usability of life sciences studies, we propose a simple common omics metadata checklist. The proposed checklist is built on the rich ontologies and standards already in use by the life sciences community. The checklist will serve as a common denominator to guide experimental design, capture important parameters, and be used as a standard format for stand-alone data publications. The omics metadata checklist and data publications will create efficient linkages between omics data and knowledge-based life sciences innovation and, importantly, allow for appropriate attribution to data generators and infrastructure science builders in the post-genomics era. We ask that the life sciences community test the proposed omics metadata checklist and data publications and provide feedback for their use and improvement. AU - Kolker, Eugene AU - Ozdemir, Vural AU - Martens, Lennart AU - Hancock, William AU - Anderson, Gordon AU - Anderson, Nathaniel AU - Aynacioglu, Sukru AU - Baranova, Ancha AU - Campagna, Shawn R. AU - Chen, Rui AU - Choiniere, John AU - Dearth, Stephen P. AU - Feng, Wu-Chun AU - Ferguson, Lynnette AU - Fox, Geoffrey AU - Frishman, Dmitrij AU - Grossman, Robert AU - Heath, Allison AU - Higdon, Roger AU - Hutz, Mara H. AU - Janko, Imre AU - Jiang, Lihua AU - Joshi, Sanjay AU - Kel, Alexander AU - Kemnitz, Joseph W. AU - Kohane, Isaac S. AU - Kolker, Natali AU - Lancet, Doron AU - Lee, Elaine AU - Li, Weizhong AU - Lisitsa, Andrey AU - Llerena, Adrian AU - Macnealy-Koch, Courtney AU - Marshall, Jean-Claude AU - Masuzzo, Paola AU - May, Amanda AU - Mias, George AU - Monroe, Matthew AU - Montague, Elizabeth AU - Mooney, Sean AU - Nesvizhskii, Alexey AU - Noronha, Santosh AU - Omenn, Gilbert AU - Rajasimha, Harsha AU - Ramamoorthy, Preveen AU - Sheehan, Jerry AU - Smarr, Larry AU - Smith, Charles V. AU - Smith, Todd AU - Snyder, Michael AU - Rapole, Srikanth AU - Srivastava, Sanjeeva AU - Stanberry, Larissa AU - Stewart, Elizabeth AU - Toppo, Stefano AU - Uetz, Peter AU - Verheggen, Kenneth AU - Voy, Brynn H. AU - Warnich, Louise AU - Wilhelm, Steven W. AU - Yandl, Gregory DA - 2014/01//undefined DO - 10.1089/omi.2013.0149 IS - 1 J2 - OMICS KW - data mining Humans Information Dissemination/*ethics Metagenomics/economics/*statistics & numerical data/trends Publishing Reproducibility of results Research Design/*standards L1 - internal-pdf://0763447433/Kolker-2014-Toward more transparent and reprod.pdf LA - eng PY - 2014 SN - 1557-8100 1536-2310 SP - 10-14 ST - Toward more transparent and reproducible omics studies through a common metadata checklist and data publications T2 - Omics : a journal of integrative biology TI - Toward more transparent and reproducible omics studies through a common metadata checklist and data publications UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3903324/pdf/omi.2013.0149.pdf VL - 18 ID - 186 ER - TY - JOUR AB - The retrieval of spatial resources is typically hindered by the lack of exhaustive metadata, linguistic issues, multilingualism, and domain-related terminology mismatches. This paper describes an experimental attempt to set up a knowledge base that will serve as groundwork for harmonising domain knowledge from distinct thematic areas, to enable the semantics-aware annotation of resources, and to support the implementation of novel discovery techniques. Setting this up also required establishing a general work flow for translating ISO-compliant registries into SKOS/RDF data structures and enriching them with structural information. These steps are also presented. The validity of the approach is then evaluated by analysing various applications' exploitation of the knowledge base in diverse use cases. AU - Fugazza, C. DA - 2011/12// DO - 10.1007/s12145-011-0088-1 IS - 4 J2 - Earth Science Informatics KW - data mining data structures geophysical techniques geophysics computing meta data semantic networks Semantic Web visual databases L1 - internal-pdf://1872666833/Fugazza-2011-Toward semantics-aware annotation.pdf PY - 2011 SN - 1865-0473 SP - 225-39 ST - Toward semantics-aware annotation and retrieval of spatial data T2 - Earth Science Informatics TI - Toward semantics-aware annotation and retrieval of spatial data UR - http://dx.doi.org/10.1007/s12145-011-0088-1 VL - 4 ID - 945 ER - TY - CONF AB - The transition from a product-oriented business towards a PSS-oriented business, known in the scientific literature as 'servitization' involves complex changes for decision-makers. Over the past years, the scientific literature has provided consistent advances in PSS decision-support systems including PSS modelling. However, concerning PSS modelling languages or formalisms, most initiatives remain context dependent; to date only a small a piece of literature addresses the need for reproducibility of PSS modelling methods. The objective of this paper is to make a first step forward in this direction, by proposing an iterative procedure dedicated to build generic meta-models and by applying it to generate a first proposal of PSS meta-model, expected to be re-usable in several distinct modelling and decision-making contexts. 2016 The Authors. AU - Boucher, Xavier AU - Medini, Khaled C3 - Product-Service Systems across Life Cycle, 2016, June 20, 2016 - June 21, 2016 DA - 2016 DO - 10.1016/j.procir.2016.03.038 KW - artificial intelligence decision making Decision support systems Iterative methods Life cycle Modeling languages Models N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Elsevier PY - 2016 SN - 22128271 SP - 234-239 ST - Towards a Generic Meta-Model for PSS Scenarios Modelling and Analysis T3 - Procedia CIRP TI - Towards a Generic Meta-Model for PSS Scenarios Modelling and Analysis UR - http://dx.doi.org/10.1016/j.procir.2016.03.038 VL - 47 ID - 1537 ER - TY - CONF AB - Reflective programming languages are those where users' programs are allowed to customize in an organized way the behavior of the language to their own needs. For ten years now, most of the work on reflection revolved around the definition and the implementation of metaobject protocols which express this organization. No methodologies have been proposed for reflective programming per se. This paper proposes a first one aiming at the design of composable metaobjects. Given two independently developed reflective customizations, this methodology proposes principles to be observed in their design such that they can be composed using standard base-level aggregation or specialization. While this paper focuses on a simple MOP and illustrates the methodology on specific examples, this methodology can be generalized to other languages with different MOPs. For instance, we discuss how to adapt it to CLOS. 1995 ACM. AU - Mulet, Philippe AU - Malenfant, Jacques AU - Cointe, Pierre C3 - 10th Annual Conference on Object-Oriented Programming Systems, Languages, and Applications, OOPSLA 1995, October 15, 1995 - October 19, 1995 DA - 1995 DO - 10.1145/217838.217870 KW - Agglomeration Chemical analysis Object oriented programming Reflection N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 1995 SP - 316-330 ST - Towards a methodology for explicit composition of metaobjects T3 - Proceedings of the Conference on Object-Oriented Programming Systems, Languages, and Applications, OOPSLA TI - Towards a methodology for explicit composition of metaobjects UR - http://dx.doi.org/10.1145/217838.217870 ID - 769 ER - TY - JOUR AB - Fuzzy Optimization models and methods has been one of the most and well studied topics inside the broad area of Soft Computing. Particularly relevant is the field of fuzzy linear programming (FLP). Its applications as well as practical realizations can be found in all the real world areas. As FLP problems constitute the basis for solving fuzzy optimization problems, in this paper a basic introduction to the main models and methods in FLP is presented and, as a whole, Linear Programming problems with fuzzy costs, fuzzy constraints and fuzzy coefficients in the technological matrix are analyzed. But fuzzy sets and systems based optimization methods do not end with FLP, and hence in order to solve more complex optimization problems, fuzzy sets based Meta-heuristics are considered, and two main operative approaches described. Provided that these techniques obtain efficient and/or effective solutions, we present a fuzzy rule based methodology for coordinating Meta-heuristics and in addition, to provide intelligence, we propose a process of extraction of the knowledge to conduct the coordination of the system. AU - Cadenas, J. M. AU - Verdegay, J. L. DA - 2009/09// DO - 10.1007/s10700-009-9062-5 IS - 3 L1 - internal-pdf://1498617647/Cadenas-2009-Towards a new strategy for solvin.pdf PY - 2009 SN - 1568-4539 SP - 231-244 ST - Towards a new strategy for solving fuzzy optimization problems T2 - Fuzzy Optimization and Decision Making TI - Towards a new strategy for solving fuzzy optimization problems VL - 8 ID - 2032 ER - TY - JOUR AB - We describe the challenges of conducting studies based on mining large-scale primary care databases, namely data integration, data set definition, result reproducibility and reusability. These correspond to higher-level informatics challenges of automation, provenance capture and component integration. We provide a high-level view of the informatics infrastructure that addresses these challenges through a generic workflow-based e-Science middleware, and describe our experiences using the system to investigate differences in the health status of patients with diabetes before and after the national introduction of the UK GP contract in 2004. AU - Curcin, Vasa AU - Bottle, Alex AU - Molokhia, Mariam AU - Millett, Christopher AU - Majeed, Azeem DA - 2010/08//undefined DO - 10.1177/0962280209359880 IS - 4 J2 - Stat Methods Med Res KW - *Workflow Databases, Factual/standards/*statistics & numerical data Data Mining/standards/statistics & numerical data Diabetes Mellitus, Type 1/*drug therapy Diabetes Mellitus, Type 2/*drug therapy Female Great Britain Humans Male Medical Informatics/methods/standards/statistics & numerical data Primary Health Care/standards/*statistics & numerical data L1 - internal-pdf://0537322532/Curcin-2010-Towards a scientific workflow meth.pdf LA - eng PY - 2010 SN - 1477-0334 0962-2802 SP - 378-393 ST - Towards a scientific workflow methodology for primary care database studies T2 - Statistical methods in medical research TI - Towards a scientific workflow methodology for primary care database studies VL - 19 ID - 354 ER - TY - CONF AB - Out-of-the-box Web Content Management Systems (WCMSs) are the tool of choice for the development of millions of enterprise web sites but also the basis of many web applications that reuse WCMS for important tasks like user registration and authentication. This widespread use highlights the importance of their security, as WCMSs may manage sensitive information whose disclosure could lead to monetary and reputation losses. However, little attention has been brought to the analysis of how developers use the content protection mechanisms provided by WCMSs, in particular, Access-control (AC). Indeed, once configured, knowing if the AC policy provides the required protection is a complex task as the specificities of each WCMS need to be mastered. To tackle this problem, we propose here a metamodel tailored to the representation of WCMS AC policies, easing the analysis and manipulation tasks by abstracting from vendor-specific details. Springer International Publishing 2013. AU - Martinez, Salvador AU - Garcia-Alfaro, Joaquin AU - Cuppens, Frederic AU - Cuppens-Boulahia, Nora AU - Cabot, Jordi C3 - 13th International Conference on Web Engineering, ICWE 2013, July 8, 2013 - July 12, 2013 DA - 2013 DO - 10.1007/978-3-319-04244-2_14 KW - Authentication Queueing networks Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2013 SN - 03029743 SP - 148-155 ST - Towards an access-control metamodel for web content management systems T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Towards an access-control metamodel for web content management systems UR - http://dx.doi.org/10.1007/978-3-319-04244-2_14 VL - 8295 LNCS ID - 559 ER - TY - CONF AB - This paper proposes an extension of the Event-driven Process Chain (EPC) metamodel in order to provide means to model complex event patterns within process models. There are some first attempts aiming to graphically depict such patterns; however, none of them focus EPC as a widely-used modeling language, especially in a business-related context. Thus, the paper first of all derives and defines typical complex event patterns and analyzes whether they are representable using standard EPC models. On this basis, a metamodel extension is conceived and additional modeling notations proposed. Finally, the notation is applied on two application examples. Springer International Publishing Switzerland 2015. AU - Krumeich, Julian AU - Mehdiyev, Nijat AU - Werth, Dirk AU - Loos, Peter C3 - 34th International Conference on Conceptual Modeling, ER 2015 and held with in Conceptual Modeling for Ambient Assistance and Healthy Ageing, AHA 2015, Conceptual Modeling of Services, CMS 2015, Event Modeling and Processing in Business Process Management, EMoV 2015, Modeling and Management of Big Data, MoBiD 2015, Modeling and Reasoning for Business Intelligence, MORE-BI 2015, Conceptual Modeling in Requirements Engineering and Business Analysis, MReBA 2015, Quality of Modeling and Modeling of Quality, QMMQ 2015, Symposium on Conceptual Modeling Education, SCME 2015, October 19, 2015 - October 22, 2015 DA - 2015 DO - 10.1007/978-3-319-25747-1_12 KW - Administrative data processing Big data Chains data mining Enterprise resource management Industrial plants Management science Modeling languages N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2015 SN - 03029743 SP - 119-130 ST - Towards an extended metamodel of event-driven process chains to model complex event patterns T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Towards an extended metamodel of event-driven process chains to model complex event patterns UR - http://dx.doi.org/10.1007/978-3-319-25747-1_12 http://link.springer.com/chapter/10.1007%2F978-3-319-25747-1_12 VL - 9382 ID - 886 ER - TY - CONF AB - In common law contexts, legal cases are decided with respect to precedents rather than legislation as in civil law contexts. Legal professionals must find, analyse, and reason with and about cases drawn from a set of cases (a case base). A range of particular textual elements of a case may be relevant to query and extract. Commercial providers of legal information allow legal professionals to search a case base by keywords and meta data. However, the case base and the search tools are proprietary, of limited, non-extensible functionality, and are restricted access. Moreover, no provider applies natural language processing techniques to the cases for text analysis, XML annotation, or information acquisition. In this paper, we discuss an initial experiment in developing and applying natural language processing tools to cases to produce annotated text which can then support information extraction. AU - Wyner, Adam C3 - 4th Workshop on Legal Ontologies and Artificial Intelligence Techniques, LOAIT 2010, June 7, 2010 - June 7, 2010 DA - 2010 KW - artificial intelligence Laws and legislation Natural language processing systems ontology TOOLS N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Sun SITE Central Europe CEUR-WS PY - 2010 SN - 16130073 SP - 9-18 ST - Towards annotating and extracting textual legal case elements T3 - CEUR Workshop Proceedings TI - Towards annotating and extracting textual legal case elements VL - 605 ID - 752 ER - TY - CONF AB - This paper describes a method for meta-research based on image mining from neuroscientific publications, extending earlier investigation in a large scale study. Using a framework for extraction and characterisation of reported fMRI images, based on their coordinates and colour profiles, we propose that significant information can be harvested automatically. The coordinates of the brain activity regions, in relation to a standard reference templates, are estimated. We conclude with the application of the proposed method to the analysis of fMRI reporting, in the context of the default mode network. Both the commonalities and the differences of brain activity between control, Alzheimer and schizophrenic patients are identified. 2014 Taylor & Francis Group, London. AU - Goncalves, N. AU - Vranou, G. AU - Vigario, R. C3 - 4th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013, October 14, 2013 - October 16, 2014 DA - 2014 KW - Brain Image processing medical computing medical image processing Medical imaging Neurophysiology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - CRC Press/Balkema PY - 2014 SP - 255-262 ST - Towards automated image mining from reported medical images T3 - Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013 TI - Towards automated image mining from reported medical images ID - 1166 ER - TY - JOUR AB - Most information extraction systems only process an article's title and abstract. However, a major source of research findings is an article's tables and figures. The aim of this study is to: (1) explore the efficacy of applying a hybrid information extraction system to the problem of identifying research findings in the scientific literature and (2) improve results by processing article title, abstract and table/figure text. AU - Hristovski, Dimitar AU - Revere, Debra AU - Bugni, Paul AU - Fuller, Sherrilynne AU - Friedman, Carol AU - Rindflesch, Thomas C. DA - 2007 J2 - AMIA Annu Symp Proc KW - *Natural Language Processing Biomedical Research Information Storage and Retrieval/*methods Publications LA - eng PY - 2007 SN - 1942-597X 1559-4076 SP - 979 ST - Towards automatic extraction of research findings from the literature T2 - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium TI - Towards automatic extraction of research findings from the literature ID - 345 ER - TY - CONF AB - Scientific workflow systems are problem-solving environments that allow scientists to automate and reproduce data management and analysis tasks. Workflow components include actors (e.g., queries, transformations, analyses, simulations, visualizations), and datasets which are produced and consumed by actors. The increasing number of such components creates the problem of discovering suitable components and of composing them to form the desired scientific workflow. In previous work we proposed the use of semantic types (annotations relative to an ontology) to solve these problems. Since creating semantic types can be complex and time-consuming, scalability of the approach becomes an issue. In this paper we propose a framework to automatically derive semantic types from a (possibly small) number of initial types. Our approach propagates the given semantic types through workflow steps whose input and output data structures are related via query expressions. By propagating semantic types, we can significantly reduce the effort required to annotate datasets and components and even derive new "candidate axioms" for inclusion in annotation ontologies. AU - Bowers, S. AU - Ludascher, B. C3 - Web Information Systems Engineering-WISE 2005 Workshops. WISE 2005 International Workshops. Proceedings, 20-22 Nov. 2005 DA - 2005 KW - data analysis data mining data structures meta data ontologies (artificial intelligence) query processing relational databases scientific information systems workflow management software PB - Springer PY - 2005 SP - 207-16 ST - Towards automatic generation of semantic types in scientific workflows T3 - Web Information Systems Engineering-WISE 2005 Workshops. WISE 2005 International Workshops. Proceedings (Lecture Notes in Computer Science Vol.3807) TI - Towards automatic generation of semantic types in scientific workflows ID - 1491 ER - TY - JOUR AB - The textual content of company annual reports has proven to contain predictive indicators for the company future performance. This paper addresses the general research question of evaluating the effectiveness of applying machine learning and text mining techniques to building predictive models with annual reports. More specifically, we focus on these two questions: 1) the feasibility of building ranking models with annual reports to rank future firm performance and 2) the effect of integrating meta semantic features to help improve and support our prediction. We compare models built with different ranking algorithms and document models. We evaluate our models with a simulated portfolio. Our results show significantly positive average returns over 5 years with a power law trend as we increase the ranking threshold. Adding meta features to document model has shown to improve ranking performance. The SVR Meta-augemented model outperforms the others and provides potential for explaining the textual factors behind the prediction. AU - Xin Ying, Qiu DA - 2010/10// IS - 5 J2 - Journal of Digital Information Management KW - business data processing data mining text analysis PY - 2010 SN - 0972-7272 SP - 338-43 ST - Towards Building Ranking Models with Annual Reports T2 - Journal of Digital Information Management TI - Towards Building Ranking Models with Annual Reports VL - 8 ID - 1437 ER - TY - CONF AB - The paper presents two approaches to post-processing of association rules that are used for concept description. The first approach is based on the idea of meta-learning; a subsequent association rule mining step is applied to the results of "standard" association rule mining. We thus obtain "rules about rules" that in a condensed form represent the knowledge found using association rules generated in the first step. The second approach finds a "core" part of the association rules that can be used to derive the confidence of every rule created in the first step. Again, the core part is substantially smaller than the set of all association rules. We experimentally evaluate the proposed methods on some benchmark data taken from the UCI repository. The system LISp-Miner has been used to carry out the experiments. 2013 Springer-Verlag. AU - Berka, Petr C3 - 12th International Symposium on Intelligent Data Analysis, IDA 2013, October 17, 2013 - October 19, 2013 DA - 2013 DO - 10.1007/978-3-642-41398-8_8 KW - artificial intelligence Association rules Computer Science N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2013 SN - 03029743 SP - 80-91 ST - Towards comprehensive concept description based on association rules T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Towards comprehensive concept description based on association rules UR - http://dx.doi.org/10.1007/978-3-642-41398-8_8 VL - 8207 LNCS ID - 681 ER - TY - JOUR AB - Objectives. The prediction of protein structure and the precise understanding of protein folding and unfolding processes remains one of the greatest challenges in structural biology and bioinformatics. Computer simulations based on molecular dynamics (MD) are at the forefront of the effort to gain a deeper understanding of these complex processes. Currently, these MD simulations are usually on the order of tens of nanoseconds, generate a large amount of conformational data and are computationally expensive. More and more groups run such simulations and generate a myriad of data, which raises new challenges in managing and analyzing these data. Because the vast range of proteins researchers want to study and simulate, the computational effort needed to generate data, the large data volumes involved, and the different types of analyses scientists need to perform, it is desirable to provide a public repository allowing researchers to pool and share protein unfolding data. Methods. To adequately organize, manage, and analyze the data generated by unfolding simulation studies, we designed a data warehouse system that is embedded in a grid environment to facilitate the seamless sharing of available computer resources and thus enable many groups to share complex molecular dynamics simulations on a more regular basis. Results. To gain insight into the conformational fluctuations and stability of the monomeric forms of the amyloidogenic protein transthyretin (TTR), molecular dynamics unfolding simulations of the monomer of human TTR have been conducted. Trajectory data and meta-data of the wild-type (WT) protein and the highly amyloidogenic variant L55P-TTR represent the test case for the data warehouse. Conclusions. Web and grid services, especially pre-defined data mining services that can run on or 'near' the data repository of the data warehouse, are likely to play a pivotal role in the anal ysis of molecular dynamics unfolding data. Springer Science + Business Media, Inc. 2005. AU - Berrar, Daniel AU - Stahl, Frederic AU - Silva, Candida AU - Rodrigues, J. Rui AU - Brito, Rui M. M. AU - Dubitzky, Werner DA - 2005 DO - 10.1007/s10877-005-0676-z IS - 4-5 J2 - Journal of Clinical Monitoring and Computing KW - Computer Simulation data mining Data warehouses Metadata Molecular dynamics Monomers Proteins L1 - internal-pdf://0349517445/Berrar-2005-Towards data warehousing and minin.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2005 SN - 13871307 SP - 307-317 ST - Towards data warehousing and mining of protein unfolding simulation data T2 - Journal of Clinical Monitoring and Computing TI - Towards data warehousing and mining of protein unfolding simulation data UR - http://dx.doi.org/10.1007/s10877-005-0676-z VL - 19 ID - 1421 ER - TY - CONF AB - Analysts who are interested in quickly identifying new and emerging scientific advancements have numerous challenges as the breadth, depth, and volume of scientific literature increases. Network analysis and mining is key to the success in this task. The ARBITER system seeks to identify indicators of emergence and provide a system that is capable of analyzing corpora of full text and metadata to identify emerging science topics and explain its reasoning and conclusions. In this paper, we describe a network-modeling framework that is used in the ARBITER system, and describe our novel hybrid approach using probabilistic foundations in combination with semantic technology and introduce our explanation infrastructure. We include a discussion of some challenges and opportunities related to explaining hybrid approaches to indicator-based analysis and emergence detection. AU - Michaelis, J. R. AU - McGuinness, D. L. AU - Chang, C. AU - Hunter, D. AU - Babko-Malaya, O. C3 - 2013 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 25-28 Aug. 2013 DA - 2013 KW - inference mechanisms meta data scientific information systems PB - IEEE PY - 2013 SP - 510-16 ST - Towards explanation of scientific and technological emergence T3 - 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) TI - Towards explanation of scientific and technological emergence ID - 888 ER - TY - JOUR AB - This paper deals with a much less contemplated topic of carbon footprint (CFP) reduction in automated machining lines. A multi-objective problem for the simultaneous optimisation of line cost and carbon footprint while satisfying all the constraints of an automated production line with rotary transfer and turrets is presented. A framework for accounting and reduction of CFP and, hence, the energy consumption of the production line is put forward. This framework investigates the environmental impact of greenhouse gas emitted and energy consumed by the system-level processes during the machining and non-machining operations. Moreover, a binary scatter tabu search process for multi-objective optimisation (BSSPMO), a meta-heuristic based on scatter and tabu search procedure, is used for approximating the efficient frontier. To demonstrate the validation of the proposed approach, a case study is presented, and the numerical results are analysed. Though the trade-off between line cost and CFP is not a perfect Pareto, but it gives a very important conclusion about the trend of how these two critical parameters varies and the range in which it can be controlled. 2015 Taylor & Francis. AU - Afrin, Kahkashan AU - Iquebal, Ashif Sikandar AU - Kumar, Sri Krishna AU - Tiwari, M. K. AU - Benyoucef, Lyes AU - Dolgui, Alexandre DA - 2016 DO - 10.1080/0951192X.2015.1109143 IS - 7 J2 - International Journal of Computer Integrated Manufacturing KW - automation Bins Carbon footprint Constraint satisfaction problems Economic and social effects Energy utilization Environmental impact Greenhouse gases Multiobjective optimization Optimization Tabu search N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 0951192X SP - 768-785 ST - Towards green automated production line with rotary transfer and turrets: a multi-objective approach using a binary scatter tabu search procedure T2 - International Journal of Computer Integrated Manufacturing TI - Towards green automated production line with rotary transfer and turrets: a multi-objective approach using a binary scatter tabu search procedure UR - http://dx.doi.org/10.1080/0951192X.2015.1109143 VL - 29 ID - 502 ER - TY - CHAP A2 - daCosta, P. C. G. A2 - dAmato, C. A2 - Fanizzi, N. A2 - Laskey, K. B. A2 - Laskey, K. J. A2 - Lukasiewicz, T. A2 - Nickles, M. A2 - Pool, M. AB - In this paper we explore some of the opportunities and challenges for machine learning on the Semantic Web. The Semantic Web provides standardized formats for the representation of both data and ontological background knowledge. Semantic Web standards are used to describe meta data but also have great potential as a general data format for data communication and data integration. Within a broad range of possible applications machine learning will play an increasingly important role: Machine learning solutions have been developed to support the management of ontologies, for the semi-automatic annotation of unstructured data, and to integrate semantic information into web mining. Machine learning will increasingly be employed to analyze distributed data sources described in Semantic Web formats and to support approximate Semantic Web reasoning and querying. In this paper we discuss existing and future applications of machine learning on the Semantic Web with a strong focus on learning algorithms that are suitable for the relational character of the Semantic Web's data structure. We discuss some of the particular aspects of learning that we expect will be of relevance for the Semantic Web such as scalability, missing and contradicting data. and the potential to integrate ontological background knowledge. In addition we review some of the work on the learning of ontologies and on the population of ontologies, mostly in the context of textual data. AU - Tresp, Volker AU - Bundschus, Markus AU - Rettinger, Achim AU - Huang, Yi PY - 2008 SN - 978-3-540-89764-4 SP - 282-314 ST - Towards Machine Learning on the Semantic Web T2 - Uncertainty Reasoning for the Semantic Web I TI - Towards Machine Learning on the Semantic Web VL - 5327 ID - 2304 ER - TY - CONF AB - Software systems today are increasingly used in changing environments and expected to adapt with variable adaptation concerns. This requirement demands a systematic approach to efficiently construct system global adaptation behaviour according to the dynamic adaptation requirements. This paper presents Transformer a framework for adaptation behaviour composition support based on reusable and compos able adaptation components. Rather than using one adaptation module for all possible contexts, Transformer constructs system global adaptation behaviour by contextually fusing adaptation plans from multiple adaptation components. Explicit conflict resolution is provided to handle possible conflicts raised in the fusion process. In addition to the description of the Transformer framework, this paper also presents its implementation and its application to a video conferencing system. Qualitative analysis and simulation results show that our framework exhibits significant advantage over traditional approaches in light of flexibility and reusability of the adaptation components with little performance overhead. 2012 IEEE. AU - Gui, Ning AU - De Florio, Vincenzo C3 - 2012 IEEE 6th International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2012, September 10, 2012 - September 14, 2012 DA - 2012 DO - 10.1109/SASO.2012.11 KW - Behavioral research Computer software reusability Cybernetics Reusability N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2012 SN - 19493673 SP - 49-58 ST - Towards meta-Adaptation support with reusable and composable adaptation components T3 - International Conference on Self-Adaptive and Self-Organizing Systems, SASO TI - Towards meta-Adaptation support with reusable and composable adaptation components UR - http://dx.doi.org/10.1109/SASO.2012.11 ID - 1285 ER - TY - CONF AB - In this keynote talk, the author will describe concepts and technologies for next-generation search engines and browsers for searching and browsing contents beyond media types and places. Currently, digital content are represented by different media such as text, images, video etc. Also, digital content are created, stored and used on a variety of places (devices) such as independent digital archives, World Wide Web, TV HDD/DVD recorders, personal PCs, digital appliances and mobile devices. The viewing styles of these content are different. That is, WWW pages are accessed and viewed in an active manner such as a conventional Web browser (reading, scrolling and clicking interface). On the other hand, TV content are accessed and viewed in a passive manner. As for searching these "ambient multimedia contents", currently, many commercial search engines cover only WWW content and personal PC contents, called "desktop search". First, the author describes research issues necessary for searching "ambient multimedia contents". The main research issues are (1) cross-media search, (2) ranking methods for contents without hyperlinks, and (3) integration of search results. As for cross-media search, the author describes query-free search, complementary-information retrieval, and cross-media meta-search. Second, the author describes ways of browsing "ambient multimedia content". The main topics of the second part are new browsers by media conversion of digital content, concurrent and comparative browsers for multiple contents. For example, the proposed browsers have an ability to automatically convert Web content into TV content, and vice versa. The last part of the talk is concerned with mining metadata owned by search engines and its usage for computing the "trustness" of the searched results. AU - Tanaka, Katsumi C3 - 7th International Conference on Web Information Systems Engineering, WISE 2006, October 23, 2006 - October 26, 2006 DA - 2006 KW - Image analysis multimedia systems Personal computers Search Engines Text processing Videodisks Web browsers World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2006 SN - 03029743 SP - 2 ST - Towards next-generation search engines and browsers - Search beyond media types and places T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Towards next-generation search engines and browsers - Search beyond media types and places VL - 4255 LNCS ID - 682 ER - TY - CONF AB - We are concerned with the automatic semantic interpretation of legal modificatory provisions. We propose a novel approach which pairs deep syntactic parsing and a fine-grained taxonomy of legal modifications. Although still in a developmental stage, the implemented system can be used to annotate with meta-information modificatory provisions of NormaInRete documents. 2008 The authors and IOS Press. All rights reserved. AU - Brighi, Raffaella AU - Lesmo, Leonardo AU - Mazzei, Alessandro AU - Palmirani, Monica AU - Radicioni, Daniele P. C3 - Legal Knowledge and Information Systems DA - 2008 DO - 10.3233/978-1-58603-952-3-202 KW - Natural language processing systems Semantics Syntactics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IOS Press PY - 2008 SN - 09226389 SP - 202-206 ST - Towards semantic interpretation of legal modifications through deep syntactic analysis T3 - Frontiers in Artificial Intelligence and Applications TI - Towards semantic interpretation of legal modifications through deep syntactic analysis UR - http://dx.doi.org/10.3233/978-1-58603-952-3-202 VL - 189 ID - 1172 ER - TY - JOUR AB - Integration, re-use and meta-analysis of high content study data, typical of DNA microarray studies, can increase its scientific utility. Access to study data and design parameters would enhance the mining of data integrated across studies. However, without standards for which data to include in exchange, and common exchange formats, publication of high content data is time-consuming and often prohibitive. The MGED Society (www.mged.org) was formed in response to the widespread publication of microarray data, and the recognition of the utility of data re-use for meta-analysis. The NIEHS has developed the Chemical Effects in Biological Systems (CEBS) database, which can manage and integrate study data and design from biological and biomedical studies. As community standards are developed for study data and metadata it will become increasingly straightforward to publish high content data in CEBS, where they will be available for meta-analysis. Different exchange formats for study data are being developed: Standard for Exchange of Nonclinical Data (SEND; www.cdisc.org); Tox-ML (www.Leadscope.com) and Simple Investigation Formatted Text (SIFT) from the NIEHS. Data integration can be done at the level of conclusions about responsive genes and phenotypes, and this workflow is supported by CEBS. CEBS also integrates raw and preprocessed data within a given platform. The utility and a method for integrating data within and across DNA microarray studies is shown in an example analysis using DrugMatrix data deposited in CEBS by Iconix Pharmaceuticals. AU - Fostel, Jennifer M. DA - 2008/11/15/ DO - 10.1016/j.taap.2008.06.015 IS - 1 J2 - Toxicol Appl Pharmacol KW - *Systems Integration Animals Database Management Systems/trends Databases, Factual/*standards/trends Humans Oligonucleotide Array Sequence Analysis/methods/standards/trends Pharmaceutical Preparations/*standards Public Sector/*standards/trends L1 - internal-pdf://1020406649/Fostel-2008-Towards standards for data exchang.pdf LA - eng PY - 2008 SN - 1096-0333 0041-008X SP - 54-62 ST - Towards standards for data exchange and integration and their impact on a public database such as CEBS (Chemical Effects in Biological Systems) T2 - Toxicology and applied pharmacology TI - Towards standards for data exchange and integration and their impact on a public database such as CEBS (Chemical Effects in Biological Systems) UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0041008X08002755/1-s2.0-S0041008X08002755-main.pdf?_tid=701d631e-8335-11e6-b69c-00000aab0f26&acdnat=1474817802_174985d6e31640104d100ac2dff77650 VL - 233 ID - 259 ER - TY - CONF AB - In this paper, we present a method for systematic synthesis of middleware based on the meta-level requirements of the application that stands on top of it. Particular attention is paid to the ability to accommodate evolving requirements of a running application. Springer-Verlag Berlin Heidelberg 1999. AU - Tma, Petr AU - Issarny, Valerie AU - Zarras, Apostolos C3 - 2nd International Conference on Meta-Level Architectures and Reflection, Reflection 1999, July 19, 1999 - July 21, 1999 DA - 1999 KW - artificial intelligence Computers Computer Science middleware N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 1999 SN - 03029743 SP - 144-146 ST - Towards systematic synthesis of reflective middleware T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Towards systematic synthesis of reflective middleware VL - 1616 ID - 1158 ER - TY - CONF AB - Human beings form different human communities. These Communities can be analyzed to extract valuable information and can be hold in some proper frame structure (ontology). Therefore, there is a need to develop the ontology for Human Community. We can select the level of ontology from Meta-, Domain to Instance Ontologies. In an earlier research paper, we developed Profile Ontology for registering individuals in a community and Community Ontology for defining community in general. In order to maintain ontology, we need to add or delete (update) concepts (attributes) and relations in the ontologies. We will use this Human Community Ontology in our on going research on Community Algorithm development. AU - Siddiqui, M. S. AU - Shaikh, Z. A. AU - Memon, A. R. C3 - 2009 WRI World Congress on Software Engineering. WCSE 2009, 19-21 May 2009 DA - 2009 DO - 10.1109/WCSE.2009.138 KW - Information analysis ontologies (artificial intelligence) Social sciences computing PB - IEEE PY - 2009 SP - 8-12 ST - Towards the development of human community ontology T3 - Proceedings of the 2009 WRI World Congress on Software Engineering. WCSE 2009 TI - Towards the development of human community ontology UR - http://dx.doi.org/10.1109/WCSE.2009.138 VL - vol.3 ID - 739 ER - TY - CONF AB - The amount of time teachers spend grading essays has increased over the past decade, prompting the development of systems that are able to lighten the workload. Many systems have thus far used linear regression or semi-supervised methods towards this objective. This paper discusses some of the main Automated Essay Grading systems, highlighting some of their strengths and weaknesses, in addition to providing a brief overview of Text Mining and meta-data annotation techniques that could be used to facilitate the process of grading essays through an automated system. AU - Hon Wai, Lam AU - Dillon, T. AU - Chang, E. C3 - 2010 4th IEEE International Conference on Digital Ecosystems and Technologies (DEST 2010), 13-16 April 2010 DA - 2010 DO - 10.1109/DEST.2010.5610643 KW - data mining text analysis PB - IEEE PY - 2010 SP - 228-33 ST - Towards the use of semi-structured annotators for Automated Essay Grading T3 - 2010 4th IEEE International Conference on Digital Ecosystems and Technologies (DEST 2010) TI - Towards the use of semi-structured annotators for Automated Essay Grading UR - http://dx.doi.org/10.1109/DEST.2010.5610643 ID - 1385 ER - TY - CONF AB - In this article the concept of Educational Action Research is briefly introduced. It is exemplarily discussed how its introduction into everyday teaching can improve a technology-enhanced learning (TEL) scenario. For providing appropriate computer-based assistance teachers' research interests have to be observed and analyzed. I summarize results of a meta-analysis and classification of applied research questions and methods. My findings show that the research questions are diverse. However, particularly questions that differentiate between groups of student and that include learning outcomes are important for sensitizing teachers on aspects of diversity and for generating new knowledge on TEL. In conclusion dedicated action research tools should be designed to support teachers in TEL scenarios. 2010 IADIS. AU - Dyckhoff, Anna Lea C3 - IADIS International Conference e-Learning 2010, Part of the IADIS Multi Conference on Computer Science and Information Systems 2010, MCCSIS 2010, July 26, 2010 - July 29, 2010 DA - 2010 KW - Computer Science data mining E-learning Engineering education Information systems Research teaching N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IADIS PY - 2010 SP - 235-242 ST - Towards tools for Educational Action Research: A meta-analysis on applied research questions T3 - Proceedings of the IADIS International Conference e-Learning 2010, Part of the IADIS Multi Conference on Computer Science and Information Systems 2010, MCCSIS 2010 TI - Towards tools for Educational Action Research: A meta-analysis on applied research questions VL - 1 ID - 1804 ER - TY - CONF AB - Who are the best targets to receive a call-for-paper or call-for-participation? What kind of topics should we propose for a workshop or a special issue of next year? Precisely predicting author's topic following behavior, i.e., publishing papers of a certain research topic in future, is essential to answer these questions. In this paper, we aim to model and predict author's topic following behavior in a heterogeneous information network. The heart of our methodology is to evaluate the author-author similarity through informative meta paths in the network. The models we propose in this paper can predict not only whether a given author will follow a certain topic but also the topic distribution over all publications in the next year. Extensive experimental evaluations justify that the prediction performance of our approach outperforms the existing approaches across various topics. AU - Yang, Deqing AU - Xiao, Yanghua AU - Tong, Hanghang AU - Cui, Wanyun AU - Wang, Wei C3 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, August 25, 2015 - August 28, 2015 DA - 2015 DO - 10.1145/2808797.2809417 KW - Forecasting Information services N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery, Inc PY - 2015 SP - 363-366 ST - Towards topic following in heterogeneous information networks T3 - Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015 TI - Towards topic following in heterogeneous information networks UR - http://dx.doi.org/10.1145/2808797.2809417 ID - 725 ER - TY - CONF AB - In Requirements Engineering, there exist different kinds of approaches such as goal-oriented, viewpoint-oriented and scenario-oriented approaches to specify companies' needs. These companies use these different approaches to elicit, specify, analyse and validate their requirements in different contexts. The globalization and the rapid development of information technologies sometimes require companies to work together in order to achieve common objectives as quickly as possible. In this paper, we propose a unified requirements engineering meta-model which allows cooperation in the requirements engineering process between heterogeneous systems. This meta-model is based on the abstraction of different kinds of approaches to benefit from all advantages that already exist in the other requirements engineering approaches while taking into account interoperability. AU - Saidi, I. E. AU - Dkaki, T. AU - Zarour, N. E. AU - Charrel, P. J. C3 - KDIR & KMIS 2013. International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing, 19-22 Sept. 2013 DA - 2013 KW - data mining formal specification PB - INSTICC Press PY - 2013 SP - 443-50 ST - Towards Unification of Requirements Engineering Approaches using Semantics-based Process T3 - KDIR KMIS 2013. Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing TI - Towards Unification of Requirements Engineering Approaches using Semantics-based Process ID - 912 ER - TY - JOUR AB - Toxoplasma gondii (T. gondii) is an obligate intracellular parasite that must monitor for changes in the host environment and respond accordingly; however, it is still not fully known which genetic or epigenetic factors are involved in regulating virulence traits of T. gondii. There are on-going efforts to elucidate the mechanisms regulating the stage transition process via the application of high-throughput epigenomics, genomics and proteomics techniques. Given the range of experimental conditions and the typical yield from such high-throughput techniques, a new challenge arises: how to effectively collect, organize and disseminate the generated data for subsequent data analysis. Here, we describe toxoMine, which provides a powerful interface to support sophisticated integrative exploration of high-throughput experimental data and metadata, providing researchers with a more tractable means toward understanding how genetic and/or epigenetic factors play a coordinated role in determining pathogenicity of T. gondii. As a data warehouse, toxoMine allows integration of high-throughput data sets with public T. gondii data. toxoMine is also able to execute complex queries involving multiple data sets with straightforward user interaction. Furthermore, toxoMine allows users to define their own parameters during the search process that gives users near-limitless search and query capabilities. The interoperability feature also allows users to query and examine data available in other InterMine systems, which would effectively augment the search scope beyond what is available to toxoMine. toxoMine complements the major community database ToxoDB by providing a data warehouse that enables more extensive integrative studies for T. gondii. Given all these factors, we believe it will become an indispensable resource to the greater infectious disease research community. AU - Rhee, D. B. AU - Croken, M. M. AU - Shieh, K. R. AU - Sullivan, J. AU - Micklem, G. AU - Kim, K. AU - Golden, A. DA - 2015 DO - 10.1093/database/bav066 J2 - Database: The Journal of Biological Databases and Curation KW - cellular biophysics data analysis data mining Data warehouses Diseases Genetics Genomics Human computer interaction meta data open systems Proteomics query processing User interfaces PY - 2015 SN - 1758-0463 SP - 12-pp. ST - toxoMine: an integrated omics data warehouse for Toxoplasma gondii systems biology research T2 - Database: The Journal of Biological Databases and Curation TI - toxoMine: an integrated omics data warehouse for Toxoplasma gondii systems biology research UR - http://dx.doi.org/10.1093/database/bav066 VL - 2015 ID - 1182 ER - TY - JOUR AU - Lin, Bruce K. AU - Clyne, Melinda AU - Walsh, Matthew AU - Gomez, Onnalee AU - Yu, Wei AU - Gwinn, Marta AU - Khoury, Muin J. DA - 2006 DP - Google Scholar IS - 1 L1 - internal-pdf://0512976554/Lin-2006-Tracking the epidemiology of human ge.pdf PY - 2006 SP - 1-4 ST - Tracking the epidemiology of human genes in the literature T2 - American journal of epidemiology TI - Tracking the epidemiology of human genes in the literature: the HuGE Published Literature database UR - http://aje.oxfordjournals.org/content/164/1/1.short http://aje.oxfordjournals.org/content/164/1/1.long http://aje.oxfordjournals.org/content/164/1/1.full.pdf VL - 164 Y2 - 2016/09/24/15:34:52 ID - 2328 ER - TY - CONF AB - Information extraction (IE) is a form of shallow text understanding that locates specific pieces of data in natural language documents. Although automated IE systems began to be developed using machine learning techniques recently, the performances of those IE systems still need to be improved. This paper describes an information extraction system based on transformation-based learning, which uses learned meta-rules on patterns for slots. We plan to empirically show these techniques improve the performance of the underlying information extraction system by running experiments on a corpus of IT resume documents collected from Internet newsgroups. AU - Un Yong, Nahm C3 - Computational Linguistics and Intelligent Text Processing. 6th International Conference, CICLing 2005. Proceedings, 13-19 Feb. 2005 DA - 2005 KW - learning (artificial intelligence) natural languages text analysis PB - Springer-Verlag PY - 2005 SP - 535-8 ST - Transformation-based information extraction using learned meta-rules T3 - Computational Linguistics and Intelligent Text Processing. 6th International Conference, CICLing 2005. Proceedings (Lecture Notes in Computer Science Vol.3406) TI - Transformation-based information extraction using learned meta-rules ID - 1770 ER - TY - CONF AB - Excess water production is a serious economic and environmental problem in most mature oil fields. Accurate and timely diagnosis of the water production mechanism is critical in the success of the applied treatment methodology. While many empirical techniques have been traditionally used in production data analysis, the significance of water-oil ratio (WOR) in proper identification of the type of the water production problem in oil wells is not yet fully investigated. Data mining techniques could facilitate extracting any hidden predictive information from oil and water production data to be used in water control studies. This paper applies a meta learning classification technique called Logistic Model Trees (LMT) to diagnose water production mechanisms based on WOR data and static reservoir parameters. Synthetic reservoir models are built to simulate excess water production due to coning, channeling and gravity segregated flows. Various cases are then generated by varying some of the input parameters in each model. A number of key features from plots of WOR against oil recovery factor are heuristically extracted by segmenting these plots at certain points. LMT classifiers are then applied to integrate these features with reservoir parameters to build classification models for predicting the water production mechanism in different scenarios of pre and post water-production stages. It is observed that a valid association between WOR data and the water production mechanism exists. Our results with high prediction accuracy rates of 88% for pre-production and more than 94% for post-production stage demonstrate efficiency of the proposed LMT classifiers and significance of WOR values in classifying excess water production problems. Copyright 2010, Society of Petroleum Engineers. AU - Rabiei, M. AU - Gupta, R. AU - Cheong, Y. P. AU - Sanchez Soto, G. A. C3 - SPE Asia Pacific Oil and Gas Conference and Exhibition 2010, APOGCE 2010, October 18, 2010 - October 20, 2010 DA - 2010 KW - data mining Data reduction Metadata Metal cutting Oil well production Oil wells Petroleum engineering Petroleum reservoir evaluation Petroleum reservoirs Trees (mathematics) Well stimulation N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Society of Petroleum Engineers PY - 2010 SP - 1531-1539 ST - Transforming data into knowledge using data mining techniques: Application in water production problem diagnosis in oil wells T3 - Society of Petroleum Engineers - SPE Asia Pacific Oil and Gas Conference and Exhibition 2010, APOGCE 2010 TI - Transforming data into knowledge using data mining techniques: Application in water production problem diagnosis in oil wells VL - 3 ID - 1756 ER - TY - CONF AB - We describe an extensible framework for translating data models into ontology models. Initially, the framework addresses two types of source data models: the relational database (RDB) and object-relational database (ORDB) models. The derived ontology model is based on OWL. The framework extracts information about the source data models from the metadata maintained by the DBMS. The extracted metadata includes most of the integrity constraints that are typically maintained by a DBMS. The extracted metadata is then analyzed to identify ontology concepts, properties, and explicit relationships, discover redundant ontology concepts and implicit relationships, and identify restrictions on properties and relationships. The analysis is based on heuristic database modeling techniques. The analyzed data is automatically translated into a rudimentary OWL ontology model that can be enhanced by ontology modelers. The paper provides examples to demonstrate how the translation is conducted. AU - Albarrak, K. M. AU - Sibley, E. H. C3 - 2009 IEEE International Conference on Information Reuse & Integration (IRI 2009), 10-12 Aug. 2009 DA - 2009 DO - 10.1109/IRI.2009.5211575 KW - Data Integrity information retrieval knowledge representation languages meta data object-oriented databases ontologies (artificial intelligence) relational databases PB - IEEE PY - 2009 SP - 336-41 ST - Translating relational object-relational database models into OWL models T3 - 2009 IEEE International Conference on Information Reuse Integration (IRI 2009) TI - Translating relational object-relational database models into OWL models UR - http://dx.doi.org/10.1109/IRI.2009.5211575 ID - 627 ER - TY - JOUR AB - Widespread use of microarray technology that led to highly complex datasets often is addressing similar or related biological questions. In translational medicine research is often based on measurements that have been obtained at different points in time. However, the researcher looks at them as a progression over time. If a biological stimulus shows an effect on a particular gene that is reversed over time, this would show, for instance, as a peak in the gene's temporal expression profile. Our program SPOT helps researchers find these patterns in large sets of microarray data. We created the software tool using open-source platforms and the Semantic Web tool Protege-OWL. AU - Tusch, Guenter AU - Tole, Olvi DA - 2012 J2 - Stud Health Technol Inform KW - *Databases, Genetic *Software artificial intelligence Database management systems Data Mining/*methods Gene Expression Profiling/*methods Medical Record Linkage/*methods Meta-Analysis as Topic Oligonucleotide Array Sequence Analysis/*methods Translational Medical Research/*methods LA - eng PY - 2012 SN - 0926-9630 0926-9630 SP - 1156-1158 ST - Translational meta-analysis tool for temporal gene expression profiles T2 - Studies in health technology and informatics TI - Translational meta-analysis tool for temporal gene expression profiles VL - 180 ID - 23 ER - TY - CONF AB - In this paper we present a travel blog assistant system that facilitates the travel blog writing by automatically selecting for each blog paragraph written by the user the most relevant images from an uploaded image set. In order to do this, the system first automatically adds metadata to the traveler's photos based both on a Generic Visual Categorizer (visual keywords) and by exploiting cross-content web repositories (textual keywords). For a given paragraph, the system ranks the uploaded images according to the similarity between the extracted metadata and the paragraph. The technology developed and presented here has potential beyond travel blogs, which served just as an illustrative example. Clearly, the same methodology can be used by professional users in the fields of multimedia document generation and automatic illustration and captioning. AU - Bressan, M. AU - Csurka, G. AU - Hoppenot, Y. AU - Renders, J. M. C3 - 1st International Workshop on Metadata Mining for Image Understanding, 22 Jan. 2008 DA - 2008 KW - Content Management image retrieval multimedia computing text analysis travel industry Web sites PB - INSTICC Press PY - 2008 SP - 90-104 ST - Travel blog assistant system (TBAS): an example scenario of how to enrich text with images and images with text using online multimedia repositories T3 - 1st International Workshop on Metadata Mining for Image Understanding TI - Travel blog assistant system (TBAS): an example scenario of how to enrich text with images and images with text using online multimedia repositories ID - 704 ER - TY - JOUR AB - Treatment guidance for non-multidrug-resistant (MDR) rifampicin-resistant (RMP-R) tuberculosis (TB) is variable. We aimed to undertake a systematic review and meta-analysis of the randomised controlled trial (RCT) data behind such guidelines to identify the most efficacious treatment regimens. Ovid MEDLINE, the Web of Science and EMBASE were mined using search terms for TB, drug therapy and RCTs. Despite 12 604 records being retrieved, only three studies reported treatment outcomes by regimen for patients with non MDR RMP-R disease, preventing meta-analysis. Our systematic review highlights a substantial gap in the literature regarding evidence-based treatment regimens for RMP-R TB. AU - Stagg, H. R. AU - Hatherell, H. A. AU - Lipman, M. C. AU - Harris, R. J. AU - Abubakar, I. DA - 2016/07// DO - 10.5588/ijtld.16.0034 IS - 7 PY - 2016 SN - 1027-3719 SP - 866-869 ST - Treatment regimens for rifampicin-resistant tuberculosis: highlighting a research gap T2 - International Journal of Tuberculosis and Lung Disease TI - Treatment regimens for rifampicin-resistant tuberculosis: highlighting a research gap VL - 20 ID - 1937 ER - TY - JOUR AB - Background: Analyses of biomolecules for biodiversity, phylogeny or structure/function studies often use graphical tree representations. Many powerful tree editors are now available, but existing tree visualization tools make little use of meta-information related to the entities under study such as taxonomic descriptions or gene functions that can hardly be encoded within the tree itself (if using popular tree formats). Consequently, a tedious manual analysis and post-processing of the tree graphics are required if one needs to use external information for displaying or investigating trees. Results: We have developed TreeDyn, a tool using annotations and dynamic graphical methods for editing and analyzing multiple trees. The main features of TreeDyn are 1) the management of multiple windows and multiple trees per window, 2) the export of graphics to several standard file formats with or without HTML encapsulation and a new format called TGF, which enables saving and restoring graphical analysis, 3) the projection of texts or symbols facing leaf labels or linked to nodes, through manual pasting or by using annotation files, 4) the highlight of graphical elements after querying leaf labels (or annotations) or by selection of graphical elements and information extraction, 5) the highlight of targeted trees according to a source tree browsed by the user, 6) powerful scripts for automating repetitive graphical tasks, 7) a command line interpreter enabling the use of TreeDyn through CGI scripts for online building of trees, 8) the inclusion of a library of packages dedicated to specific research fields involving trees. Conclusion: TreeDyn is a tree visualization and annotation tool which includes tools for tree manipulation and annotation and uses meta-information through dynamic graphical operators or scripting to help analyses and annotations of single trees or tree collections. AU - Chevenet, Francois AU - Brun, Christine AU - Banuls, Anne-Laure AU - Jacq, Bernard AU - Christen, Richard DA - 2006/10/10/ DO - 10.1186/1471-2105-7-439 L1 - internal-pdf://1336092622/Chevenet-2006-TreeDyn_ towards dynamic graphic.pdf PY - 2006 SN - 1471-2105 SP - 439 ST - TreeDyn: towards dynamic graphics and annotations for analyses of trees T2 - Bmc Bioinformatics TI - TreeDyn: towards dynamic graphics and annotations for analyses of trees UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1615880/pdf/1471-2105-7-439.pdf VL - 7 ID - 2144 ER - TY - JOUR AB - BACKGROUND: Childhood lead poisoning is a public health problem gained widely attention for the health damage caused by lead exposure. Pediatrics defines lead poisoning as BLL of or higher than 10 mug/dL, which leads to harmful effects in nervous system, hematological system and urinary system. This study investigates the percentage of 0-18 year old Chinese population with blood lead level (BLL) >/=10 mug/dL during 1990-2012 by searching epidemiologic studies from electronic database focused on BLL in mainland China. METHODS: Epidemiologic studies about BLL in China mainland between January 1990 and October 2012 were searched from electronic databases including CNKI, CBM disc, Wanfang Data, Pubmed and Medline. Data extraction, data analysis and risk of bias assessments were performed. RESULTS: Fifty-five articles were included in analysis containing 200,002 subjects, covering 19 provinces, autonomous regions and municipalities. The corrected pooled rate by trim and fill method under random effect model was 9 % (95 CI: 6 %, 12 %). The corrected pooled lead poisoning rate by trim and fill method was 28.1 % (95 % CI: 21.6 %, 34.6 %) from data published during 1990-2000, much higher than the rate during 2001-2005 (10.5 %, 95 % CI: 6.4 %, 14.5 %) and the rate during 2006-2012 (5.3 %, 95 % CI: 3.7 %, 7 %). The corrected pooled lead poisoning percentage in eastern zone (4.3 %, 95 % CI: 2 %, 6.6 %) was slightly lower than that in western zone (5.8 %, 95 % CI: 3.2 %, 8.5 %) and much lower than in central zone (8.5 %, 95 % CI: 4.9 %, 12.1 %). The corrected pooled rate of population living around mining area (70 %, 95 % CI: 62.7 %, 77.3 %) was much higher than that of population in urban area (9.6 %, 95 % CI: 7.1 %, 12.1 %), suburban area (23.6 %, 95 % CI: 17 %, 30.3 %), rural area (23.8 %, 95 % CI: 6.7 %, 40.9 %) and industrial area (57.5 %, 95 % CI: 28 %, 86.9 %). In male population, the corrected pooled rate (10 %, 95 % CI: 7 %, 13 %) was slightly higher than that in female population (7.7 %, 95 % CI: 5 %, 10.4 %). Considering different age groups, the lead poisoning prevalence gradually rose with the increase of age and reached peak level at preschool age, then declined slightly with age. CONCLUSION: This meta-analysis revealed lead exposure situation of Chinese population in recent decades which provide robust evidence for policy making. AU - Li, Min-ming AU - Cao, Jia AU - Gao, Zhen-yan AU - Shen, Xiao-ming AU - Yan, Chong-huai DA - 2015 DO - 10.1186/s12889-015-2103-9 J2 - BMC Public Health KW - Adult Asian Continental Ancestry Group/statistics & numerical data Child Child Welfare/*statistics & numerical data China/epidemiology Environmental Exposure/*statistics & numerical data Environmental Monitoring/*statistics & numerical data Female Humans Infant Infant, Newborn Lead Poisoning/*diagnosis/*epidemiology Male Middle Aged Prevalence Rural Population/statistics & numerical data Urban Population/statistics & numerical data L1 - internal-pdf://3967525996/Li-2015-The trend of lead poisoning rate in Ch.pdf LA - eng PY - 2015 SN - 1471-2458 1471-2458 SP - 756 ST - The trend of lead poisoning rate in Chinese population aged 0-18 years old: a meta-analysis T2 - BMC public health TI - The trend of lead poisoning rate in Chinese population aged 0-18 years old: a meta-analysis UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4527361/pdf/12889_2015_Article_2103.pdf VL - 15 ID - 37 ER - TY - JOUR AB - Articles published in the Australasian Journal of Environmental Management were reviewed to assess the focus and scope of topics they addressed, methods used, authorship patterns, and how these may reflect consistency in the issues researched and debated in Australasia from 1994 to December 2013. The analysis revealed trends towards multiple authors; an Australian dominance and national perspective, but with increasing regional and local focus; declining emphasis on natural environmental issues with commensurate increase in emphasis on rural issues; increase in empirical studies using mixed methods; and a shift from informing management practice towards informing national and regional policy. The disciplines of Environmental Science, Economics, Policy and Political Science, Biological Science, Law and Commerce underpin, in declining order of emphasis, considerations relevant to environmental management as reported in this journal. Increasing attention is being given to Human Society, the Behavioural and Cognitive Sciences and the sub-disciplines of Climatology and Indigenous Cultural Studies. The suite of articles published is strongly underpinned by some core discipline areas aligned with the human dimensions of decision-making, and is responsive to emerging issues. The breadth of disciplinary focus reflects the interdependency and complexity of environmental management. In summary, the journal appears to be addressing the need to provide rigorous multi-disciplinary research informing environmental policy and management in its region. AU - Carter, R. W. AU - Ross, H. DA - 2014/06// DO - 10.1080/14486563.2014.936057 IS - 2 PY - 2014 SN - 1448-6563 SP - 200-218 ST - Trends in environmental management through the lens of the Australasian Journal of Environmental Management T2 - Australasian Journal of Environmental Management TI - Trends in environmental management through the lens of the Australasian Journal of Environmental Management VL - 21 ID - 1898 ER - TY - JOUR AB - Background: Reports regarding the incidence and antibiotic susceptibility of methicillin-resistant Staphylococcus aureus (MRSA) in rhinosinusitis (RS) are limited. This study was designed to identify epidemiology and trends of MRSA incidence and antimicrobial resistance in the sinonasal cavities. Methods: This is a retrospective case series. All intranasal/sinus cultures obtained by otolaryngologists at Stanford over a 20-year period (1990-2010) were retrospectively reviewed by mining the microbiology database. Nested searches were then made for all S. aureus and MRSA cultures. Patterns of incidence and changes in antibiotic susceptibilities were tabulated and statistical analysis was performed. Results: Our search retrieved 10,387 positive intranasal culture samples, with S. aureus found in 800 (7.7%), and MRSA comprising 110 (1.06%) of this subset. Between the years of 1990 and 1999, only 2/112 (1.7%) of S. aureus-positive nasal cultures were positive for MRSA, with a sharp rise in incidence to 86/606 (14.2%) from 2000 to 2005, and to 22/82, 26.8% from 2006 to 2010. On a percent basis, using logistic regression modeling, this represents a statistically significant increasing trend (p < 0.0001) for MRSA sinusitis. However, over the 20-year interval studied, the patterns of antibiotic resistance among MRSA remained unaltered, especially with regard to trimethoprim-sulfamethoxazole and vancomycin. Conclusion: S. aureus and MRSA isolates from intranasal cultures, which were essentially absent before the year 2000, became significantly more common earlier this decade. These data show the increased role of MRSA in sinusitis. MRSA antibiotic susceptibilities have remained, however, largely stable during this time period. AU - Rujanavej, Valin AU - Soudry, Ethan AU - Banaei, Niaz AU - Baron, Ellen Jo AU - Hwang, Peter H. AU - Nayak, Jayakar V. DA - 2013/04//MAR DO - 10.2500/ajra.2013.27.3858 IS - 2 PY - 2013 SN - 1945-8924 SP - 134-137 ST - Trends in incidence and susceptibility among methicillin-resistant Staphylococcus aureus isolated from intranasal cultures associated with rhinosinusitis T2 - American Journal of Rhinology & Allergy TI - Trends in incidence and susceptibility among methicillin-resistant Staphylococcus aureus isolated from intranasal cultures associated with rhinosinusitis VL - 27 ID - 2299 ER - TY - JOUR AU - Hung, Jui-long DA - 2012 DP - Google Scholar IS - 1 L1 - http://web3.apiu.edu/researchfile/Research%20Materials/Current%20Trends%20in%20Education/Trends%20of%20E-learning%20reserach%20from%202000%20to%202008.pdf PY - 2012 SP - 5-16 ST - Trends of e-learning research from 2000 to 2008 T2 - British Journal of Educational Technology TI - Trends of e-learning research from 2000 to 2008: Use of text mining and bibliometrics UR - http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8535.2010.01144.x/full VL - 43 Y2 - 2016/09/24/15:36:22 ID - 2347 ER - TY - CONF AB - As a representation of information, Multi-dimension network is more and more popular, such as web data and social network. With the increment of data source, the entities of the network become diverse. How to analyze these multi-dimensional heterogeneous networks effectively and efficiently is a big challenge. In this paper, we propose a Two-Step Multi-dimensional Heterogeneous (TSMH) Graph Cube framework. We use the meta path in heterogeneous network to guide the aggregation of the network and build the Entity Hyper Cube. For the cuboid in Entity Hyper Cube, we do dimension roll-up/drill down to build the Dimension Cube. In Entity Hyper Cube, we design meta path aggregation algorithms and propose materialization strategy. In Dimension Cube, we use hierarchical coding for entities and dimensions and it saves the process of join operations of entities and dimensions which greatly improve the efficiency of dimension operations. In addition, we propose more new Graph OLAP operations which can make network analysis more diverse. At last, we implement the framework in Spark. The results of experiments on real data set and synthetic data set confirm the efficiency and effectiveness of our framework. AU - Pengsen, Wang AU - Bin, Wu AU - Bai, Wang C3 - 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 19-21 Oct. 2015 DA - 2015 DO - 10.1109/DSAA.2015.7344826 KW - data aggregation data mining data structures Graph theory PB - IEEE PY - 2015 SP - 10-pp. ST - TSMH Graph Cube: a novel framework for large scale multi-dimensional network analysis T3 - 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA) TI - TSMH Graph Cube: a novel framework for large scale multi-dimensional network analysis UR - http://dx.doi.org/10.1109/DSAA.2015.7344826 ID - 1496 ER - TY - CONF AB - Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract meaningful information for mining patterns. Here, we describe a real-life image mining application to the problem of tumour cell counting. The quantitative analysis of tumour cells is fundamental to characterizing the activity of tumour cells. Existing approaches are mostly manual, time-consuming and subjective. Efforts to automate the process of cell counting have largely focused on using image processing techniques only. Our studies indicate that image processing alone is unable to give accurate results. In this paper, we examine the use of extracted features rules to aid in the process of tumor cell counting. We propose a robust local adaptive thresholding and dynamic water immersion algorithms to segment regions of interesting from background. Meaningful features are then extracted from the segmented regions. A number of base classifiers are built to generate features rules to help identify the tumor cell. Two voting strategies are implemented to combine the base classifiers into a meta-classifier. Experiment results indicate that this process of using extracted features rules to help identify tumor cell leads to better accuracy than pure image processing techniques alone. AU - Ang, Bin AU - Hsu, Wynne AU - Lee, Mong Li C3 - KDD - 2002 Proceedings of the Eight ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23, 2002 - July 26, 2002 DA - 2002 KW - Algorithms Cells data mining feature extraction image segmentation Imaging techniques Medical imaging Tumors N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2002 SP - 495-500 ST - Tumor cell identification using features rules T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - Tumor cell identification using features rules ID - 1195 ER - TY - JOUR AB - The paper is concerned with practices for tuning the parameters of metaheuristics. Settings such as, e.g., the cooling factor in simulated annealing, may greatly affect a metaheuristic's efficiency as well as effectiveness in solving a given decision problem. However, procedures for organizing parameter calibration are scarce and commonly limited to particular metaheuristics. We argue that the parameter selection task can appropriately be addressed by means of a data mining based approach. In particular, a hybrid system is devised, which employs regression models to learn suitable parameter values from past moves of a metaheuristic in an online fashion. In order to identify a suitable regression method and, more generally, to demonstrate the feasibility of the proposed approach, a case study of particle swarm optimization is conducted. Empirical results suggest that characteristics of the decision problem as well as search history data indeed embody information that allows suitable parameter values to be determined, and that this type of information can successfully be extracted by means of nonlinear regression models. 2010 Elsevier Ltd. All rights reserved. AU - Lessmann, Stefan AU - Caserta, Marco AU - Arango, Idel Montalvo DA - 2011 DO - 10.1016/j.eswa.2011.04.075 IS - 10 J2 - Expert Systems with Applications KW - data mining Heuristic algorithms Heuristic methods Hybrid systems Particle swarm optimization (PSO) Regression Analysis Simulated annealing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 09574174 SP - 12826-12838 ST - Tuning metaheuristics: A data mining based approach for particle swarm optimization T2 - Expert Systems with Applications TI - Tuning metaheuristics: A data mining based approach for particle swarm optimization UR - http://dx.doi.org/10.1016/j.eswa.2011.04.075 VL - 38 ID - 1776 ER - TY - JOUR AB - How can we correlate the neural activity in the human brain as it responds to typed words, with properties of these terms (like edible, fits in hand)? In short, we want to find latent variables, that jointly explain both the brain activity, as well as the behavioral responses. This is one of many settings of the Coupled Matrix-Tensor Factorization (CMTF) problem. Can we enhance any CMTF solver, so that it can operate on potentially very large datasets that may not fit in main memory? We introduce Turbo-SMT, a meta-method capable of doing exactly that: it boosts the performance of any CMTF algorithm, produces sparse and interpretable solutions, and parallelizes any CMTF algorithm, producing sparse and interpretable solutions (up to 65 fold). Additionally, we improve upon ALS, the work-horse algorithm for CMTF, with respect to efficiency and robustness to missing values. We apply Turbo-SMT to BrainQ, a dataset consisting of a (nouns, brain voxels, human subjects) tensor and a (nouns, properties) matrix, with coupling along the nouns dimension. Turbo-SMT is able to find meaningful latent variables, as well as to predict brain activity with competitive accuracy. Finally, we demonstrate the generality of Turbo-SMT, by applying it on a FACEBOOK dataset (users, friends', wall-postings); there, Turbo-SMT spots spammer-like anomalies. 2016 Wiley Periodicals, Inc. Statistical Analysis and Data Mining: The ASA Data Science Journal, 2016. 2016 Wiley Periodicals, Inc. AU - Papalexakis, Evangelos E. AU - Mitchell, Tom M. AU - Sidiropoulos, Nicholas D. AU - Faloutsos, Christos AU - Talukdar, Partha Pratim AU - Murphy, Brian DA - 2016 DO - 10.1002/sam.11315 IS - 4 J2 - Statistical Analysis and Data Mining KW - Algorithms Brain data mining Factorization Matrix algebra Neurons Neurophysiology Tensors N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 19321864 SP - 269-290 ST - Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications T2 - Statistical Analysis and Data Mining TI - Turbo-SMT: Parallel coupled sparse matrix-Tensor factorizations and applications UR - http://dx.doi.org/10.1002/sam.11315 VL - 9 ID - 1325 ER - TY - CONF AB - Data analysis of social media postings can provide a wealth of information about the health of individual users, health across groups, and even access to healthy food choices in neighborhoods. In this paper, we analyze Twitter postings of 140 characters or less, known as tweets, to infer user health status over time. Tweets and in turn their users' health are scored according to semantic analysis, sentiment analysis, emoticon classification, meta-data analysis, and profiling over time. The purpose of the analysis includes individually targeted healthcare personalization, determining health disparities, discovering health access limitations, advertising, and public health monitoring. The approach is analyzed on over 12,000 tweets spanning as far back as 2010 for 10 classes of users active on Twitter. 2014 ICST. AU - Kashyap, Ranjitha AU - Nahapetian, Ani C3 - 4th International Conference on Wireless Mobile Communication and Healthcare, MOBIHEALTH 2014, November 3, 2014 - November 5, 2014 DA - 2015 DO - 10.1109/MOBIHEALTH.2014.7015983 KW - Big data data handling data mining Health Health care Information analysis Nutrition Public health Semantics Social networking (online) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2015 SP - 348-351 ST - Tweet analysis for user health monitoring T3 - Proceedings of the 2014 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming Healthcare Through Innovations in Mobile and Wireless Technologies", MOBIHEALTH 2014 TI - Tweet analysis for user health monitoring UR - http://dx.doi.org/10.1109/MOBIHEALTH.2014.7015983 ID - 1427 ER - TY - CONF AB - The information contained in Social Networks has become increasingly important over the last few years. Inside this field, Twitter is one of the main current information sources, produced by the comments and contents that their users interchange. This information is usually noisy, however, there are some hidden patterns that can be extracted such as trends, opinions, sentiments, etc. These patterns are useful to generate users communities, which can be focused, for example, on marketing campaigns. Nevertheless, the identification process is usually blind, difficulting this information extaction. Based on this idea, this work pretends to extract relevant data from Twitter. In order to achieve this goal, we have desgined a system, called TweetSemMiner, to classify user comments (or tweets) using general topics (or meta-topics). There are several works devoted to analize social networks, however, only Topic Detection techniques have been applied in this context. This paper provides a new approach to the problem of classification using semantic analysis. The system has been developed focused on the detection of a single meta-topic and uses techniques such as Latent Semantic Analysis (LSA) combined with semantic queries in DBpedia, in order to obtain some results which can be used to analyze the effectiveness of the model. We have tested the model using real users, whose comments were subsequently evaluated to check the effectiveness of this approach. AU - Menendez, H. D. AU - Delgado-Calle, C. AU - Camacho, D. C3 - Intelligent Data Engineering and Automated Learning - IDEAL 2014. 15th International Conference, 10-12 Sept. 2014 DA - 2014 DO - 10.1007/978-3-319-10840-7_9 KW - data mining pattern classification query processing Social networking (online) text analysis PB - Springer International Publishing PY - 2014 SP - 69-76 ST - TweetSemMiner: A Meta-topic identification model for twitter using semantic analysis T3 - Intelligent Data Engineering and Automated Learning - IDEAL 2014. 15th International Conference. Proceedings: LNCS 8669 TI - TweetSemMiner: A Meta-topic identification model for twitter using semantic analysis UR - http://dx.doi.org/10.1007/978-3-319-10840-7_9 ID - 1697 ER - TY - JOUR AU - Ascoli, Giorgio A. DA - 2012/04//undefined DO - 10.1007/s12021-012-9143-4 IS - 2 J2 - Neuroinformatics KW - *Database Management Systems *Meta-Analysis as Topic Computer Simulation Data Interpretation, Statistical data mining Models, Neurological National Library of Medicine (U.S.) Neurosciences/*statistics & numerical data United States L1 - internal-pdf://1911165193/Ascoli-2012-Twenty questions for neuroscience.pdf LA - eng PY - 2012 SN - 1559-0089 1539-2791 SP - 115-117 ST - Twenty questions for neuroscience metadata T2 - Neuroinformatics TI - Twenty questions for neuroscience metadata VL - 10 ID - 59 ER - TY - CONF AB - Model transformations play a cornerstone role with the emergence of Model Driven Engineering (MDE), where models are transformed from higher to lower levels of abstraction. Unfortunately, a quick and easy way to check the correctness of model transformations is still missing, which compromises their quality (and in turn, the quality of the target models generated from them). In this paper we propose a lightweight and efficient method that performs a static analysis of the ATL rules with respect to two correctness properties we define: (1) weak executability, which determines if there is some scenario in which an ATL rule can be safely applied without breaking the target metamodel integrity constraints; and (2) coverage, which ensures a set of ATL rules allow addressing all elements of the source and target metamodels. In both cases, our method returns meaningful feedback that helps repairing the possible detected inconsistencies. AU - Planas, Elena AU - Cabot, Jordi AU - Gomez, Cristina C3 - 3rd International Workshop on Model Transformation with ATL, MtATL 2011 - Co-located with TOOLS 2011 Federated Conferences, July 1, 2011 - July 1, 2011 DA - 2011 KW - Mathematical models Models Repair TOOLS N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Sun SITE Central Europe CEUR-WS PY - 2011 SN - 16130073 SP - 1-9 ST - Two basic correctness properties for ATL transformations: Executability and coverage T3 - CEUR Workshop Proceedings TI - Two basic correctness properties for ATL transformations: Executability and coverage VL - 742 ID - 566 ER - TY - JOUR AB - We conducted data-mining analyses of genome wide association (GWA) studies of the CATIE and MGS-GAIN datasets, and found 13 markers in the two physically linked genes, PTPN21 and EML5, showing nominally significant association with schizophrenia. Linkage disequilibrium (LD) analysis indicated that all 7 markers from PTPN21 shared high LD (r(2)>0.8), including rs2274736 and rs2401751, the two non-synonymous markers with the most significant association signals (rs2401751, P=1.10 x 10(-3) and rs2274736, P=1.21 x 10(-3)). In a meta-analysis of all 13 replication datasets with a total of 13,940 subjects, we found that the two non-synonymous markers are significantly associated with schizophrenia (rs2274736, OR=0.92, 95% CI: 0.86-0.97, P=5.45 x 10(-3) and rs2401751, OR=0.92, 95% CI: 0.86-0.97, P=5.29 x 10(-3)). One SNP (rs7147796) in EML5 is also significantly associated with the disease (OR=1.08, 95% CI: 1.02-1.14, P=6.43 x 10(-3)). These 3 markers remain significant after Bonferroni correction. Furthermore, haplotype conditioned analyses indicated that the association signals observed between rs2274736/rs2401751 and rs7147796 are statistically independent. Given the results that 2 non-synonymous markers in PTPN21 are associated with schizophrenia, further investigation of this locus is warranted. AU - Chen, Jingchun AU - Lee, Grace AU - Fanous, Ayman H. AU - Zhao, Zhongming AU - Jia, Peilin AU - O'Neill, Anthony AU - Walsh, Dermot AU - Kendler, Kenneth S. AU - Chen, Xiangning DA - 2011/09//undefined DO - 10.1016/j.schres.2011.06.023 IS - 1-3 J2 - Schizophr Res KW - Computational Biology/methods/statistics & numerical data Databases, Genetic/statistics & numerical data Gene Frequency Genetic Predisposition to Disease/*genetics Genome-Wide Association Study Humans Linkage Disequilibrium Meta-Analysis as Topic Microtubule-Associated Proteins/genetics Polymorphism, Single Nucleotide/*genetics Protein Tyrosine Phosphatases, Non-Receptor/*genetics Schizophrenia/*genetics L1 - internal-pdf://3732194521/Chen-2011-Two non-synonymous markers in PTPN21.pdf LA - eng PY - 2011 SN - 1573-2509 0920-9964 SP - 43-51 ST - Two non-synonymous markers in PTPN21, identified by genome-wide association study data-mining and replication, are associated with schizophrenia T2 - Schizophrenia research TI - Two non-synonymous markers in PTPN21, identified by genome-wide association study data-mining and replication, are associated with schizophrenia UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4117700/pdf/nihms585345.pdf VL - 131 ID - 62 ER - TY - JOUR AB - With the popularity of complex sciences and more occurrence of wicked problems in reality, the meta-synthesis system approach (MSA) proposed by Professor Qian Xuesen and his colleagues gained more attention. Both the impetus from the innovative IT developments and the urgent requirements from the reality drive the research and demonstrations of HWMSE. Despite system integration and its platform highlighted in the engineering practice, this paper focuses on some fundamental problems of applying MSA to complex issues, such as how to support "confident hypothesizing" which then leads to rigorous validating. Two supporting technologies for qualitative meta-synthesis, CorMap and iView, are addressed together with 5 typical applications. Toward the thinking behavior records represented by the textual data, both technologies conduct a series of computing to achieve the exploratory structures of the emerging ideas under different perspectives, and help interactive analysis and imaginary thinking. Comments on text mining, ontology regarding to CorMap/iView are given. AU - Tang, Xi-Jin DA - 2010 IS - 9 J2 - Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice KW - Complexation ontology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2010 SN - 10006788 SP - 1593-1606 ST - Two supporting technologies for qualitative meta-synthesis T2 - Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice TI - Two supporting technologies for qualitative meta-synthesis VL - 30 ID - 1797 ER - TY - CONF AB - We propose a new, heterogeneous data warehouse architecture where a first phase traditional relational OLAP warehouse coexist with a second phase data in compressed form optimized for data mining. Aggregations and metadata for the entire time frame are stored in the first phase relational database. The main advantage of the second phase is its reduced I/O requirement that enables very high throughput processing by sequential read-only data stream algorithms. It becomes feasible to run speed optimized queries and data mining operations on the entire time frame of most granular data. The second phase also enables long term data storage and analysis using a very efficient compressed format at low storage costs even for historical data. The proposed architecture fits existing data warehouse solutions. We show the effectiveness of the two-phase data warehouse through a case study of a large Web portal. AU - Racz, B. AU - Sidlo, C. I. AU - Lukacs, A. AU - Benczur, A. A. C3 - Business Intelligence for the Real-Time Enterprises. First International Workshop, BIRTE 2006, 11 Sept. 2006 DA - 2007 KW - Data compression data mining Data warehouses meta data relational databases PB - Springer-Verlag PY - 2007 SP - 63-76 ST - Two-phase data warehouse optimized for data mining T3 - Business Intelligence for the Real-Time Enterprises. First International Workshop, BIRTE 2006. Revised Selected Papers. (Lecture Notes in Computer Science vol. 4365) TI - Two-phase data warehouse optimized for data mining ID - 1702 ER - TY - JOUR AB - In order to meet the need for higher equipment availability and lower maintenance cost, much attention is being paid to the development of prognostic systems. Such systems support a proactive maintenance strategy by continuously monitoring the components of interest and predicting their failures sufficiently in advance to avoid disruptions during operation. Recent research demonstrated the potential of a comprehensive data mining methodology for building prognostic models from readily available operational and maintenance data. This approach builds a binary classifier that can determine the likelihood of a failure within a broad target window but cannot provide precise time to failure (TTF) estimations. This paper introduces a two-stage classification approach that helps improve the precision of TTF estimations. The new approach uses the initial methodology to learn a variety of base classifiers and then relies on meta-learning to integrate them. The paper details the model building process and demonstrates the usefulness of the proposed approach through a real-world prognostic application. AU - Chunsheng, Yang AU - Letourneau, S. DA - 2009/12// DO - 10.1007/s10489-008-0123-1 IS - 3 J2 - Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies KW - data mining failure analysis maintenance engineering mechanical engineering computing pattern classification railways wheels L1 - internal-pdf://3169268460/Chunsheng-2009-Two-stage classifications for i.pdf PY - 2009 SN - 0924-669X SP - 255-66 ST - Two-stage classifications for improving time-to-failure estimates: a case study in prognostic of train wheels T2 - Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies TI - Two-stage classifications for improving time-to-failure estimates: a case study in prognostic of train wheels UR - http://dx.doi.org/10.1007/s10489-008-0123-1 VL - 31 ID - 1430 ER - TY - CONF AB - To ensure the protection of computer networks, an intrusion detection system (IDS) should be integrated in the security infrastructure. However, IDSs generate a high amount of false alerts exceeding the administrator ability for analysis and omit several attacks which can threaten the network security. In this paper, a two-stage process based on data mining and optimization is proposed having as input the outcome of multiple IDSs. In the first stage, for each IDS the set of elementary alerts is clustered to create a set of meta-alerts. Then, we remove false positives from the sets of meta-alerts using a binary optimization problem. In the second stage, we discard the meta-alerts generated by all IDSs and only those missed by one, two or most of them are left. This set is called the set of potential false negatives. In fact, at this level a meta-alerts fusion is performed to avoid the redundancy between meta-alerts collected from multiple IDSs. Finally, a binary classification algorithm is proposed to classify the potential false negatives either as real attacks or not. Experimental results show that our proposed process outperforms concurrent methods by significantly reducing the rate of false positives and false negatives. AU - Fatma, H. AU - Limam, M. C3 - 2015 11th International Conference on Computational Intelligence and Security (CIS), 19-20 Dec. 2015 DA - 2015 DO - 10.1109/CIS.2015.82 KW - computer network security data mining optimisation pattern classification PB - IEEE Computer Society PY - 2015 SP - 308-11 ST - A Two-Stage Process Based on Data Mining and Optimization to Identify False Positives and False Negatives Generated by Intrusion Detection Systems T3 - 2015 11th International Conference on Computational Intelligence and Security (CIS). Proceedings TI - A Two-Stage Process Based on Data Mining and Optimization to Identify False Positives and False Negatives Generated by Intrusion Detection Systems UR - http://dx.doi.org/10.1109/CIS.2015.82 ID - 1722 ER - TY - JOUR AB - Type 2 diabetes, which is a complex metabolic disease influenced by genetic and environment, has become a worldwide problem. Previous published results focused on genetic components through genome-wide association studies that just interpret this disease to some extent. Recently, two research groups published metagenome-wide association studies (MGWAS) result that found meta-biomarkers related with type 2 diabetes. However, One key problem of analyzing genomic data is that how to deal with the ultra-high dimensionality of features. From a statistical viewpoint it is challenging to filter true factors in high dimensional data. Various methods and techniques have been proposed on this issue, which can only achieve limited prediction performance and poor interpretability. New statistical procedure with higher performance and clear interpretability is appealing in analyzing high dimensional data. To address this problem, we apply an excellent statistical variable selection procedure called iterative sure independence screening to gene profiles that obtained from metagenome sequencing, and 48/24 meta-markers were selected in Chinese/European cohorts as predictors with 0.97/0.99 accuracy in AUC (area under the curve), which showed a better performance than other model selection methods, respectively. These results demonstrate the power and utility of data mining technologies within the large-scale and ultra-high dimensional genomic-related dataset for diagnostic and predictive markers identifying. AU - Cai, Lihua AU - Wu, Honglong AU - Li, Dongfang AU - Zhou, Ke AU - Zou, Fuhao DA - 2015/10/19/ DO - 10.1371/journal.pone.0140827 IS - 10 L1 - internal-pdf://1144522535/Cai-2015-Type 2 Diabetes Biomarkers of Human G.pdf PY - 2015 SN - 1932-6203 SP - e0140827 ST - Type 2 Diabetes Biomarkers of Human Gut Microbiota Selected via Iterative Sure Independent Screening Method T2 - Plos One TI - Type 2 Diabetes Biomarkers of Human Gut Microbiota Selected via Iterative Sure Independent Screening Method UR - http://journals.plos.org/plosone/article/asset?id=10.1371/journal.pone.0140827.PDF VL - 10 ID - 2171 ER - TY - CONF AB - Performance evaluation in virtual organizations is one of the most important issues that have been considered due to the transition from industrial age to knowledge era. Virtual organizations, as one of the challenges of third millennium, which came to existence for enhancing organization's performance through outsourcing, are not excluding. A virtual organization and its smaller variant, the virtual team, is an organizational network that is structured and managed to function as an identifiable and complete organization. Determining what meanings virtual team members attach to performance evaluation system in IT Companies is a vital precursor to understand the effectiveness of the management practice, rendering this study a preliminary investigation. The literature confirms that perceptions of management practices in IT Industries can influence employee loyalty and role-related behaviors. Perceptions of unfairness can be more detrimental for geographically distributed workers in MNCs than for collocated teams. Although businesses continue to drive demands for virtual organizations, most contemporary studies of performance evaluation system are limited to traditional organizational settings. An interpretive, phenomenological domain Driven Data Mining (D3M) approach utilizing 360 Degree data mining for objective measurement and opinion mining for subjective measurement enabled a hermeneutic analysis process. The main objective of this research is to investigate the main factors that affect the performance of employees in virtual organization especially IT Companies and to show how these factors can be used for performance evaluation in virtual organization. Based on the review of literature, this study provides a unified domain Driven Data Mining (d3m) approach for evaluating data intelligence, domain intelligence, human intelligence, network intelligence, social intelligence, and meta synthesis of ubiquitous intelligence for performance appraisal in virtual organizations like IT Industries. This study examined opinion mining of virtual team members as subjective measure for their performance evaluation system. A phenomenological approach using support vector machine was used to Meta synthesize as ubiquitous intelligence. This D3M approach gives a valuable insight into the performance of employees in virtual organization and can give a useful help to practitioners to evaluate the performance of employees in virtual organizations. AU - Suriyakumari, V. AU - Kathiravan, A. V. C3 - 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering (PRIME), 21-22 Feb. 2013 DA - 2013 DO - 10.1109/ICPRIME.2013.6496491 KW - data mining Personnel Support Vector Machines virtual enterprises PB - IEEE PY - 2013 SP - 307-11 ST - An ubiquitous domain Driven Data Mining approach for performance monitoring in virtual organizations using 360 Degree data mining opinion mining T3 - Proceedings of the 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering (PRIME) TI - An ubiquitous domain Driven Data Mining approach for performance monitoring in virtual organizations using 360 Degree data mining opinion mining UR - http://dx.doi.org/10.1109/ICPRIME.2013.6496491 ID - 1840 ER - TY - JOUR AB - Respiratory variation in the inferior vena cava (IVC) has been extensively studied with respect to its value in predicting fluid responsiveness, but the results are conflicting. This systematic review was aimed at investigating the diagnostic accuracy of IVC in predicting fluid responsiveness. Databases including Medline, Embase, Scopus and Web of Knowledge were searched from inception to May 2013. Studies exploring the diagnostic performance of IVC in predicting fluid responsiveness were included. To allow for more between- and within-study variance, a hierarchical summary receiver operating characteristic model was used to pool the results. Subgroup analyses were performed for patients on mechanical ventilation, spontaneously breathing patients and those challenged with colloids and crystalloids. A total of 8 studies involving 235 patients were eligible for analysis. Cutoff values of IVC varied across studies, ranging from 12% to 40%. The pooled sensitivity and specificity in the overall population were 0.76 (95% confidence interval [CI]: 0.61-0.86) and 0.86 (95% CI: 0.69-0.95), respectively. The pooled diagnostic odds ratio (DOR) was 20.2 (95% CI: 6.1-67.1). The diagnostic performance of IVC appeared to be better in patients on mechanical ventilation than in spontaneously breathing patients (DOR: 30.8 vs. 13.2). The pooled area under the receiver operating characteristic curve was 0.84 (95% CI: 0.79-0.89). Our study indicates that IVC measured with point-of-care ultrasonography is of great value in predicting fluid responsiveness, particularly in patients on controlled mechanical ventilation and those resuscitated with colloids. [All rights reserved Elsevier]. AU - Zhongheng, Zhang AU - Xiao, Xu AU - Sheng, Ye AU - Lei, Xu DA - 2014/05// DO - 10.1016/j.ultrasmedbio.2013.12.010 IS - 5 J2 - Ultrasound in Medicine and Biology KW - biomedical equipment biomedical ultrasonics blood vessels colloids data mining Hierarchical systems medical computing pneumodynamics Sensitivity analysis statistical analysis PY - 2014 SN - 0301-5629 SP - 845-53 ST - Ultrasonographic Measurement of the Respiratory Variation in the Inferior Vena Cava Diameter Is Predictive of Fluid Responsiveness in Critically Ill Patients: Systematic Review and Meta-analysis T2 - Ultrasound in Medicine and Biology TI - Ultrasonographic Measurement of the Respiratory Variation in the Inferior Vena Cava Diameter Is Predictive of Fluid Responsiveness in Critically Ill Patients: Systematic Review and Meta-analysis UR - http://dx.doi.org/10.1016/j.ultrasmedbio.2013.12.010 VL - 40 ID - 1880 ER - TY - JOUR AB - The Internet has turned into an important aspect of our information infrastructure and society. with the Web forming part of our cultural heritage. Several initiatives thus set out to preserve it for the future. The resulting Web archives are by no means only a collection of historic Web pages. They hold a wealth of information that waits to be exploited, information that may be substantial to a variety of disciplines. With the time-line and metadata available in such a Web archive, additional analyses that go beyond mere information exploration become possible. In the context of the Austrian On-Line Archive (AOLA), we established a Data Warehouse as a key to this information. The Data Warehouse makes it possible to analyze a variety of characteristics of the Web in a flexible and interactive manner using on-line analytical processing (OLAP) techniques. Specifically, technological aspects Such as operating systems and Web servers used, the variety of file types, forms or scripting languages encountered, as well as the link structure within domains, may be used to infer characteristics of technology maturation and impact on community structures. AU - Rauber, A. AU - Aschenbrenner, A. AU - Witvoet, O. AU - Bruckner, R. M. AU - Kaiser, M. DA - 2002/12// DO - 10.1045/december2002-rauber IS - 12 J2 - D-Lib Magazine KW - data mining Data warehouses Internet meta data PY - 2002 SN - 1082-9873 ST - Uncovering information hidden in Web archives T2 - D-Lib Magazine TI - Uncovering information hidden in Web archives UR - http://www.dlib.org/dlib/december02/rauber/12rauber.html http://dx.doi.org/10.1045/december2002-rauber VL - 8 ID - 1180 ER - TY - JOUR AB - The systematic recording of underground structures, their location, use as well as other characteristics is something that is still missing from the global engineering community. The paper presents the development of the Underground Atlas Project which aims at gathering and indexing the major underground sites worldwide, becoming the focal point of information regarding subsurface structures. The main features of the project are found in the development of the electronic database to store and depict the spatial information of the site, as well as in the crowdsourcing concept that was selected for the data and information submission. To foster the submission process, a new taxonomy and categorization of underground space uses has been proposed, while a respective web service and mobile app was developed by the design team. The users can either browse through the records stored or, more importantly, can submit new content either by using their browser or by taking advantage of the geolocation capabilities of their mobile device. Finally, the Atlas will provide the opportunity for the meta-analysis of the data by using and benefiting from the accumulated knowledge and collective experience of the engineering community. 2015 Elsevier Ltd. AU - Kaliampakos, D. AU - Benardos, A. AU - Mavrikos, A. AU - Panagiotopoulos, G. DA - 2016 DO - 10.1016/j.tust.2015.03.009 J2 - Tunnelling and Underground Space Technology KW - Classification (of information) Mobile devices Underground structures Web services L1 - internal-pdf://2604135442/Kaliampakos-2016-The Underground Atlas Project.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2016 SN - 08867798 SP - 229-235 ST - The Underground Atlas Project T2 - Tunnelling and Underground Space Technology TI - The Underground Atlas Project UR - http://dx.doi.org/10.1016/j.tust.2015.03.009 http://ac.els-cdn.com/S0886779815000541/1-s2.0-S0886779815000541-main.pdf?_tid=1599ebf2-833e-11e6-81a5-00000aab0f6b&acdnat=1474821515_bbdcc15886796df0b54a07aa3512c090 VL - 55 ID - 829 ER - TY - CONF AB - Data mining in large collections of polyphonic music has recently received increasing interest by companies along with the advent of commercial online distribution of music. Important applications include the categorization of songs into genres and the recommendation of songs according to musical similarity and the customer's musical preferences. Modeling genre or timbre of polyphonic music is at the core of these tasks and has been recognized as a difficult problem. Many audio features have been proposed, but they do not provide easily understandable descriptions of music. They do not explain why a genre was chosen or in which way one song is similar to another. We present an approach that combines large scale feature generation with meta learning techniques to obtain meaningful features for musical similarity. We perform exhaustive feature generation based on temporal statistics and train regression models to summarize a subset of these features into a single descriptor of a particular notion of music. Using several such models we produce a concise semantic description of each song. Genre classification models based on these semantic features are shown to be better understandable and almost as accurate as traditional methods. Copyright 2006 ACM. AU - Moerchen, Fabian AU - Mierswa, Ingo AU - Ultsch, Alfred C3 - KDD 2006: 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 20, 2006 - August 23, 2006 DA - 2006 KW - Computer music Customer satisfaction data mining feature extraction Mathematical models Regression Analysis Semantics Statistical methods N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2006 SP - 882-891 ST - Understandable models of music collections based on exhaustive feature generation with temporal statistics T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining TI - Understandable models of music collections based on exhaustive feature generation with temporal statistics VL - 2006 ID - 1238 ER - TY - JOUR AB - Psychological stress perturbs normal physiological function or homeostasis. Restoration of normalcy demands more supply of energy. A physiological mechanism via activated stress response system is aimed at providing quick energy to deal with such emergency situations. If stress response system remains activated for longer period, maintaining physiological homeostasis becomes difficult because of higher demand for energy which eventually leads to increased susceptibility to infection or disease. Although there are reports, associating psychological stress with physiological functions and diseases, a clear understanding of mechanism of stress manifestation is yet to be established. In order to facilitate extensive exploration and prediction of possible mechanisms, integration of molecular (gene-level) data pertaining to psychological stress, physiological processes and stress-associated diseases is needed. We report power of text-mining in combination with our data-integration methods and mathematical formulation to develop integrated gene-association networks. These networks can be analyzed to gain holistic insights into the relationship between psychological stress-associated genes (stressome) and related physiological functions and diseases. We built the human psychostressome networks to understand and predict pathways and candidate genes responsible for perturbing balance among various physiological functions and disease manifestation. Using the current methodology, we were able to predict involvement of serotonin receptors and uridine 5'-diphospho-glucuronosyltransferases in mediating effects of psychological stress. AU - Priyadarshini, Sushri AU - Aich, Palok DA - 2016 DO - 10.2174/157489361102160401163021 IS - 2 PY - 2016 SN - 1574-8936 SP - 277-290 ST - Understanding Effects of Psychological Stress on Physiology and Disease Through Human Stressome - An Integral Algorithm T2 - Current Bioinformatics TI - Understanding Effects of Psychological Stress on Physiology and Disease Through Human Stressome - An Integral Algorithm VL - 11 ID - 1897 ER - TY - JOUR AB - BACKGROUND: Numerous types of digital health interventions (DHIs) are available to patients and the public but many factors affect their ability to engage and enrol in them. This systematic review aims to identify and synthesise the qualitative literature on barriers and facilitators to engagement and recruitment to DHIs to inform future implementation efforts. METHODS: PubMed, MEDLINE, CINAHL, Embase, Scopus and the ACM Digital Library were searched for English language qualitative studies from 2000 - 2015 that discussed factors affecting engagement and enrolment in a range of DHIs (e.g. 'telemedicine', 'mobile applications', 'personal health record', 'social networking'). Text mining and additional search strategies were used to identify 1,448 records. Two reviewers independently carried out paper screening, quality assessment, data extraction and analysis. Data was analysed using framework synthesis, informed by Normalization Process Theory, and Burden of Treatment Theory helped conceptualise the interpretation of results. RESULTS: Nineteen publications were included in the review. Four overarching themes that affect patient and public engagement and enrolment in DHIs emerged; 1) personal agency and motivation; 2) personal life and values; 3) the engagement and recruitment approach; and 4) the quality of the DHI. The review also summarises engagement and recruitment strategies used. A preliminary DIgital Health EnGagement MOdel (DIEGO) was developed to highlight the key processes involved. Existing knowledge gaps are identified and a number of recommendations made for future research. Study limitations include English language publications and exclusion of grey literature. CONCLUSION: This review summarises and highlights the complexity of digital health engagement and recruitment processes and outlines issues that need to be addressed before patients and the public commit to digital health and it can be implemented effectively. More work is needed to create successful engagement strategies and better quality digital solutions that are personalised where possible and to gain clinical accreditation and endorsement when appropriate. More investment is also needed to improve computer literacy and ensure technologies are accessible and affordable for those who wish to sign up to them. SYSTEMATIC REVIEW REGISTRATION: International Prospective Register of Systematic Reviews CRD42015029846. AU - O'Connor, Siobhan AU - Hanlon, Peter AU - O'Donnell, Catherine A. AU - Garcia, Sonia AU - Glanville, Julie AU - Mair, Frances S. DA - 2016 DO - 10.1186/s12911-016-0359-3 IS - 1 J2 - BMC Med Inform Decis Mak KW - Barrier Digital health eHealth electronic health records Engagement Facilitator mHealth Mobile applications Recruitment Telemedicine L1 - internal-pdf://0356426808/art%253A10.1186%252Fs12911-016-0359-3.pdf LA - eng PY - 2016 SN - 1472-6947 1472-6947 SP - 120 ST - Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies T2 - BMC medical informatics and decision making TI - Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies VL - 16 ID - 90 ER - TY - JOUR AB - The vast body of literature on health information technology (HIT) adoption features considerably heterogeneous factors and demands for a synthesis of the knowledge in the field. This study employs text mining and network analysis techniques to identify the important concepts and their relationships in the abstracts of 979 articles of HIT adoption. Through the lens of Activity Theory, the revealed concept map of HIT adoption can be viewed as a complex activity system involving different users, technologies and tasks at both the individual level and the social level. Such a synthesis not only discloses the current knowledge domain of HIT adoption, but also provides guidance for future research on HIT adoption. AU - Jun, Sun AU - Zhe, Qu DA - 2015/10// DO - 10.1007/s10796-014-9497-2 IS - 5 J2 - Information Systems Frontiers KW - data mining medical information systems text analysis PY - 2015 SN - 1387-3326 SP - 1177-90 ST - Understanding health information technology adoption: a synthesis of literature from an activity perspective T2 - Information Systems Frontiers TI - Understanding health information technology adoption: a synthesis of literature from an activity perspective UR - http://dx.doi.org/10.1007/s10796-014-9497-2 VL - 17 ID - 893 ER - TY - CONF AB - Many businesses have made or are making significant investments in data warehouses (DWs) and marts that are designed to support a myriad of decision support systems (DSSs). Due to the newness of DWs and related DSSs, the nature of the decision support provided to DSS users and the importance of meta-data and explanations within that support have not been documented. An exploratory case study has been undertaken at two organizations that are using DWs to support a particular type of DW-DSS - customer relationship management (CRM) systems. CRM systems were selected as a representative DW-DSS due to the large number of system users and the various types of DSS tools that these systems typically encompass. The DSS decision performance model suggested by P. Todd and I. Benbasat (1991, 1992, 1993, 1994, 1999) has been employed as a framework for this exploration. Constructs from S. Gregor and I. Benbasat's (1999) meta-analysis of explanation use were used to guide the investigation of the explanations. 2002 IEEE. AU - Hess, T. J. AU - Wells, J. D. C3 - 35th Annual Hawaii International Conference on System Sciences, HICSS 2002, January 7, 2002 - January 10, 2002 DA - 2002 DO - 10.1109/HICSS.2002.994280 KW - artificial intelligence data mining Data warehouses decision making Decision support systems Industry Information Management Intelligent systems Investments Metadata Public relations N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2002 SN - 15301605 SP - 3008-3017 ST - Understanding how metadata and explanations can better support data warehousing and related decision support systems: An exploratory case study T3 - Proceedings of the Annual Hawaii International Conference on System Sciences TI - Understanding how metadata and explanations can better support data warehousing and related decision support systems: An exploratory case study UR - http://dx.doi.org/10.1109/HICSS.2002.994280 VL - 2002-January ID - 962 ER - TY - CONF AB - Research on learning dashboards aims to identify what data is meaningful to different stakeholders in education, and how data can be presented to support sense-making processes. This paper summarizes the main outcomes of a systematic literature review on learning dashboards, in the fields of Learning Analytics and Educational Data Mining. The query was run in five main academic databases and enriched with papers coming from GScholar, resulting in 346 papers out of which 55 were included in the fnal analysis. Our review distinguishes different kinds of research studies as well as different aspects of learning dashboards and their maturity in terms of evaluation. As the research field is still relatively young, many of the studies are exploratory and proof-of-concept. Among the main open issues and future lines of work in the area of learning dashboards, we identify the need for longitudinal research in authentic settings, as well as studies that systematically compare different dash-board design options. 2016 Copyright held by the owner/author(s). AU - Schwendimann, Beat A. AU - Rodriguez-Triana, Maria Jesus AU - Vozniuk, Andrii AU - Prieto, Luis P. AU - Boroujeni, Mina Shirvani AU - Holzer, Adrian AU - Gillet, Denis AU - Dillenbourg, Pierre C3 - 6th International Conference on Learning Analytics and Knowledge, LAK 2016, April 25, 2016 - April 29, 2016 DA - 2016 DO - 10.1145/2883851.2883930 KW - data mining education Enterprise resource planning N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2016 SP - 532-533 ST - Understanding learning at a glance: An overview of learning dashboard studies T3 - ACM International Conference Proceeding Series TI - Understanding learning at a glance: An overview of learning dashboard studies UR - http://dx.doi.org/10.1145/2883851.2883930 VL - 25-29-April-2016 ID - 982 ER - TY - CONF AB - As robots become increasingly capable and autonomous, the role of a human operator may be to supervise multiple robots and intervene to handle problems and provide strategic guidance. In such cases, the extent to which HRI tools support the human supervisor's situational awareness (SA) and ability to intervene in an appropriate and timely fashion will constrain the scale of operations (e.g., the number of robots; the complexity of tasks) that can reasonably be supervised by a single person. One approach to understanding how humans might acquire, maintain, and use situational awareness in multi-robot supervision tasks is to look at video games that require similar activities. We describe our initial efforts at analyzing and modeling data from Real-Time Strategy (RTS) games with the goal of answering basic questions about the nature of situational awareness and supervisory control of multiple semi-autonomous agents. 2012 Authors. AU - Kalar, Donald J. AU - Green, Collin B. C3 - 7th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI'12, March 5, 2012 - March 8, 2012 DA - 2012 DO - 10.1145/2157689.2157736 KW - Human computer interaction Human robot interaction Industrial robots Interactive computer graphics Man machine systems Real time systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2012 SP - 163-164 ST - Understanding situational awareness in multi-unit supervisory control through data-mining and modeling with real-time strategy games T3 - HRI'12 - Proceedings of the 7th Annual ACM/IEEE International Conference on Human-Robot Interaction TI - Understanding situational awareness in multi-unit supervisory control through data-mining and modeling with real-time strategy games UR - http://dx.doi.org/10.1145/2157689.2157736 http://dl.acm.org/citation.cfm?doid=2157689.2157736 ID - 1757 ER - TY - CHAP A2 - Burduk, R. A2 - Kurzynski, M. A2 - Wozniak, M. A2 - Zolnierek, A. AB - The experience gained from thorough analysis of many decision tree (DT) induction algorithms, has resulted in a unified model for DT construction and reliable testing. The model has been designed and implemented within Intemi - a versatile environment for data mining. Its modular architecture facilitates construction of all the most popular algorithms by combining proper building blocks. Alternative components can be reliably compared by tests in the same environment. This is the start point for a manifold research in the area of DTs, which will bring advanced meta-learning algorithms providing new knowledge about DT induction and optimal DT models for many kinds of data. AU - Grabczewski, Krzysztof PY - 2011 SN - 978-3-642-20319-0 SP - 147-155 ST - Unified View of Decision Tree Learning Machines for the Purpose of Meta-learning T2 - Computer Recognition Systems 4 TI - Unified View of Decision Tree Learning Machines for the Purpose of Meta-learning VL - 95 ID - 2072 ER - TY - JOUR AB - The experience gained from thorough analysis of many decision tree (DT) induction algorithms, has resulted in a unified model for DT construction and reliable testing. The model has been designed and implemented within Intemi-a versatile environment for data mining. Its modular architecture facilitates construction of all the most popular algorithms by combining proper building blocks. Alternative components can be reliably compared by tests in the same environment. This is the start point for a manifold research in the area of DTs, which will bring advanced meta-learning algorithms providing new knowledge about DT induction and optimal DT models for many kinds of data. Springer-Verlag Berlin Heidelberg 2011. AU - Grbczewski, Krzysztof DA - 2011 IS - 4 J2 - Advances in Intelligent and Soft Computing KW - Algorithms data mining decision trees Learning systems N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2011 SN - 18675662 SP - 147-155 ST - Unified view of decision tree learning machines for the purpose of meta-learning T2 - Advances in Intelligent and Soft Computing TI - Unified view of decision tree learning machines for the purpose of meta-learning VL - 95 ID - 1441 ER - TY - JOUR AB - Drug-induced liver injury (DILI) may present any morphologic characteristic of acute or chronic liver disease with no standardized terminology in place. Defining lexemes of DILI histopathology would allow the development of advanced knowledge discovery and data mining tools for across comparisons of publicly available information. For these purposes, a DILI ontology (DILIo) was developed by using the Unified Medical Language System tool and the standardized terminology of the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT). The DILIo was entrained on findings of 114 US Food and Drug Administration-approved drugs by extracting all clinically DILI-related histopathologic descriptions for 1082 liver biopsy samples, which were then analyzed using the Unified Medical Language System MetaMap and subsequently mapped to the SNOMED CT. The DILIo provides a standard means to describe and organize liver injury induced by drugs, enabling comparative analysis of drugs within and across histopathologic terms. The analysis showed that flutamide, troglitazone, diclofenac, isoniazid, and tamoxifen were reported to have the most diverse histopathologic observations in liver biopsy. Necrosis, cholestasis, fatty degeneration, fibrosis, infiltrate, and hepatic necrosis were the most frequent terms used as descriptors of histopathologic features of DILI. In conclusion, DILIo entrains different algorithms for an efficient meta-analysis of published findings for an improved understanding of mechanisms and clinical characteristics of DILI. AU - Wang, Yuping AU - Lin, Zhi AU - Liu, Zhichao AU - Harris, Stephen AU - Kelly, Reagan AU - Zhang, Jie AU - Ge, Weigong AU - Chen, Minjun AU - Borlak, Jurgen AU - Tong, Weida DA - 2013/04//undefined DO - 10.1016/j.ajpath.2012.12.033 IS - 4 J2 - Am J Pathol KW - *Terminology as Topic Drug-Induced Liver Injury/*pathology Drug-Related Side Effects and Adverse Reactions Humans Liver/pathology Publications Thioguanine/adverse effects LA - eng PY - 2013 SN - 1525-2191 0002-9440 SP - 1180-1187 ST - A unifying ontology to integrate histological and clinical observations for drug-induced liver injury T2 - The American journal of pathology TI - A unifying ontology to integrate histological and clinical observations for drug-induced liver injury VL - 182 ID - 177 ER - TY - JOUR AB - Text mining and information retrieval in large collections of scientific literature require automated processing systems that analyse the documents' content. However, the layout of scientific articles is highly varying across publishers, and common digital document formats are optimised for presentation, but lack structural information. To overcome these challenges, we have developed a processing pipeline that analyses the structure a PDF document using a number of unsupervised machine learning techniques and heuristics. Apart from the meta-data extraction, which we reused from previous work, our system uses only information available from the current document and does not require any pre-trained model. First, contiguous text blocks are extracted from the raw character stream. Next, we determine geometrical relations between these blocks, which, together with geometrical and font information, are then used categorize the blocks into different classes. Based on this resulting logical structure we finally extract the body text and the table of contents of a scientific article. We separately evaluate the individual stages of our pipeline on a number of different datasets and compare it with other document structure analysis approaches. We show that it outperforms a state-of-the-art system in terms of the quality of the extracted body text and table of contents. Our unsupervised approach could provide a basis for advanced digital library scenarios that involve diverse and dynamic corpora. AU - Klampfl, S. AU - Granitzer, M. AU - Jack, K. AU - Kern, R. DA - 2014/08// DO - 10.1007/s00799-014-0115-1 IS - 3-4 J2 - International Journal on Digital Libraries KW - data mining Digital Libraries information retrieval learning (artificial intelligence) meta data text analysis L1 - internal-pdf://2469818461/Klampfl-2014-Unsupervised document structure a.pdf PY - 2014 SN - 1432-5012 SP - 83-99 ST - Unsupervised document structure analysis of digital scientific articles T2 - International Journal on Digital Libraries TI - Unsupervised document structure analysis of digital scientific articles UR - http://dx.doi.org/10.1007/s00799-014-0115-1 VL - 14 ID - 1695 ER - TY - JOUR AB - Objectives: In East Germany, uranium mining was performed on a large scale for approximately 45 years (1946-1990). In particular, the poor working conditions during the post-war years until 1955 led to a high level of occupational diseases. The present study gives an overview of the occurrence of occupational diseases during the mining period as well as after uranium mining was stopped in 1990. Methods: The number of occupational diseases which occurred during the mining period was calculated from the files of the former Wismut SDAG. Although exposure to uranium ceased after 1990, new cases of occupational diseases were recognized after that date. These were recorded by the German Federation Of Institutions For Statutory Accident Insurance And Prevention (HVBG). Results and Conclusions: Today, more than 35,000 cases of occupational diseases are known, and many more are expected. About two-thirds of them are lung diseases: 16,376 cases of silicosis/silicotuberculosis and 7,695 cases of bronchial carcinomas. The increase in the number of recognized occupational diseases is shown and discussed against the background of changes in criteria for recognition and in working conditions as well as the duration of the latency period. AU - Schroder, C. AU - Friedrich, K. AU - Butz, F. M. AU - Konnisch, D. AU - Otten, H. DA - 2002/04// DO - 10.1007/s00420-001-0295-z IS - 4 PY - 2002 SN - 0340-0131 SP - 235-242 ST - Uranium mining in Germany: incidence of occupational diseases 1946-1999 T2 - International Archives of Occupational and Environmental Health TI - Uranium mining in Germany: incidence of occupational diseases 1946-1999 VL - 75 ID - 2163 ER - TY - RPRT AB - The mining district of California, Bucaramanga, is on the west side of the Cordillera Oriental in the Santander massif region. The oldest rocks of the area form a complex of metamorphites and migmatites of the predevonic age. Amphibolite various types of paragneiss and orthogneiss are represented. Several stages of metamorphism can be documented in some rocks, as well as double anatexis. Triassic to jurassic quarz diorites and leukogranites show wide distribution. Porphyric rocks of granodioritic to granitic composition, to which the uranium mineralization is mainly bonded, intruded into the sediments of the lower cretaceous. Atomic absorption spectral analyses were carried out for the elements Cu, Zn and Li, as well as the uranium contents of some samples using fluorimetry. Uranium is primarily bonded to pitch blende and coffinite. The latter mostly occur in fine distribution grown in quarz and belong to the most recent mineralization phase. Autunite, meta-autunite, torbernite, meta-torbernite, zeunerite, meta-zeunerite and meta uranocircite detected as secondary uranium minerals. (Atomindex citation 12:641045) AU - Heider Polania, J. CY - Germany DA - 1980/01// KW - Colombia Geology Metamorphic rocks Metamorphism tectonics Uranium minerals N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 1980 RP -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
SP - 152p ST - Uranium Occurrence in California Near Bucaramanga (Columbia) TI - Uranium Occurrence in California Near Bucaramanga (Columbia) ID - 522 ER - TY - BOOK A3 - Rugman, A. M. A2 - Boyd, G. AB - The industry structure of the US economy and the international strategies of firms are key elements of the political economy of US trade policymaking. A principal feature of the US economy is the increasing dominance of the services sector and the declining importance of the agricultural mining and manufacturing sectors. A principal feature of firms' strategies is their increased reliance on international ownership and movement of factors of production through foreign direct investment (FDI). These structural and strategic tendencies, furthermore, interact and thus shape the policy agenda and the central tendencies of US policy. This chapter analyses these structural and strategic trends and their relationships to US policies concerning three types of World Trade Organization (WTO) issues: meta-institutional issues, sector-specific agreements, and dispute settlement cases. The analysis emphasizes the importance of the General Agreement on Trade in Services (GATS), including its provisions concerning FDI. AU - Brewer, T. L. AU - Young, S. DA - 2001 PY - 2001 SN - 1-84064-507-5 ST - The USA in the WTO TI - The USA in the WTO ID - 2242 ER - TY - CONF AB - Obviously, there are a number of literatures concerning the usability of mobile commerce (m-commerce) applications and related areas, but they do not adequately provide knowledge about usability techniques used in most of the empirical usability evaluation for m-commerce application. Therefore, this paper is aimed at producing the usability techniques frequently used in the aspect of usability evaluation for m-commerce applications. To achieve the stated objective, systematic literature review was employed. Sixty seven papers were downloaded in usability evaluation for m-commerce and related areas; twenty one most relevant studies were selected for review in order to extract the appropriate information. The results from the review shows that heuristic evaluation, formal test and think aloud methods are the most commonly used methods in m-commerce application in comparison to cognitive walkthrough and the informal test methods. Moreover, most of the studies applied control experiment (33.3% of the total studies); other studies that applied case study for usability evaluation are 14.28%. The results from this paper provide additional knowledge to the usability practitioners and research community for the current state and use of usability techniques in m-commerce application. AU - Hussain, A. AU - Mkpojiogu, E. O. C. C3 - International Conference on Applied Science and Technology 2016 (ICAST), 11-13 April 2016 DA - 2016/08/12/ DO - 10.1063/1.4960889 KW - mobile commerce User interfaces L1 - internal-pdf://1209379174/Hussain-2016-Usability evaluation techniques i.pdf PB - AIP - American Institute of Physics PY - 2016 SN - 0094-243X SP - 020049-(7 pp.) ST - Usability evaluation techniques in mobile commerce applications: A systematic review T2 - AIP Conference Proceedings T3 - AIP Conf. Proc. (USA) TI - Usability evaluation techniques in mobile commerce applications: A systematic review UR - http://dx.doi.org/10.1063/1.4960889 http://scitation.aip.org.ezproxy.lib.vt.edu/docserver/fulltext/aip/proceeding/aipcp/1761/10.1063/1.4960889/1.4960889.pdf?expires=1474821002&id=id&accname=2102195&checksum=4C739ECB859A233D6F1173E9F7D8D455 VL - 1761 ID - 795 ER - TY - JOUR AB - The high heterogeneity of biomedical vocabulary is a major obstacle for information retrieval in large biomedical collections. Therefore, using biomedical controlled vocabularies is crucial for managing these contents. We investigate the impact of query expansion based on controlled vocabularies to improve the effectiveness of two search engines. Our strategy relies on the enrichment of users' queries with additional terms, directly derived from such vocabularies applied to infectious diseases and chemical patents. We observed that query expansion based on pathogen names resulted in improvements of the top-precision of our first search engine, while the normalization of diseases degraded the top-precision. The expansion of chemical entities, which was performed on the second search engine, positively affected the mean average precision. We have shown that query expansion of some types of biomedical entities has a great potential to improve search effectiveness; therefore a fine-tuning of query expansion strategies could help improving the performances of search engines. AU - Pasche, Emilie AU - Gobeill, Julien AU - Vishnyakova, Dina AU - Ruch, Patrick AU - Lovis, Christian DA - 2013 J2 - Stud Health Technol Inform KW - *Database Management Systems *Databases, Factual *Medical Subject Headings *Natural Language Processing *Terminology as Topic artificial intelligence Data Mining/*methods Pattern Recognition, Automated/*methods LA - eng PY - 2013 SN - 0926-9630 0926-9630 SP - 1068 ST - Use of controlled vocabularies to improve biomedical information retrieval tasks T2 - Studies in health technology and informatics TI - Use of controlled vocabularies to improve biomedical information retrieval tasks VL - 192 ID - 333 ER - TY - JOUR AB - BACKGROUND: Meta-research studies investigating methods, systems, and processes designed to improve the efficiency of systematic review workflows can contribute to building an evidence base that can help to increase value and reduce waste in research. This study demonstrates the use of an economic evaluation framework to compare the costs and effects of four variant approaches to identifying eligible studies for consideration in systematic reviews. METHODS: A cost-effectiveness analysis was conducted using a basic decision-analytic model, to compare the relative efficiency of 'safety first', 'double screening', 'single screening' and 'single screening with text mining' approaches in the title-abstract screening stage of a 'case study' systematic review about undergraduate medical education in UK general practice settings. Incremental cost-effectiveness ratios (ICERs) were calculated as the 'incremental cost per citation 'saved' from inappropriate exclusion' from the review. Resource use and effect parameters were estimated based on retrospective analysis of 'review process' meta-data curated alongside the 'case study' review, in conjunction with retrospective simulation studies to model the integrated use of text mining. Unit cost parameters were estimated based on the 'case study' review's project budget. A base case analysis was conducted, with deterministic sensitivity analyses to investigate the impact of variations in values of key parameters. RESULTS: Use of 'single screening with text mining' would have resulted in title-abstract screening workload reductions (base case analysis) of >60 % compared with other approaches. Across modelled scenarios, the 'safety first' approach was, consistently, equally effective and less costly than conventional 'double screening'. Compared with 'single screening with text mining', estimated ICERs for the two non-dominated approaches (base case analyses) ranged from pound1975 ('single screening' without a 'provisionally included' code) to pound4427 ('safety first' with a 'provisionally included' code) per citation 'saved'. Patterns of results were consistent between base case and sensitivity analyses. CONCLUSIONS: Alternatives to the conventional 'double screening' approach, integrating text mining, warrant further consideration as potentially more efficient approaches to identifying eligible studies for systematic reviews. Comparable economic evaluations conducted using other systematic review datasets are needed to determine the generalisability of these findings and to build an evidence base to inform guidance for review authors. AU - Shemilt, Ian AU - Khan, Nada AU - Park, Sophie AU - Thomas, James DA - 2016 DO - 10.1186/s13643-016-0315-4 IS - 1 J2 - Syst Rev L1 - internal-pdf://3733474012/art%253A10.1186%252Fs13643-016-0315-4.pdf LA - eng PY - 2016 SN - 2046-4053 2046-4053 SP - 140 ST - Use of cost-effectiveness analysis to compare the efficiency of study identification methods in systematic reviews T2 - Systematic reviews TI - Use of cost-effectiveness analysis to compare the efficiency of study identification methods in systematic reviews VL - 5 ID - 45 ER - TY - JOUR AU - Jha, Ashish K. AU - DesRoches, Catherine M. AU - Campbell, Eric G. AU - Donelan, Karen AU - Rao, Sowmya R. AU - Ferris, Timothy G. AU - Shields, Alexandra AU - Rosenbaum, Sara AU - Blumenthal, David DA - 2009 DP - Google Scholar IS - 16 L1 - internal-pdf://1175989877/Jha-2009-Use of electronic health records in U.pdf PY - 2009 SP - 1628-1638 ST - Use of electronic health records in US hospitals T2 - New England Journal of Medicine TI - Use of electronic health records in US hospitals UR - http://www.nejm.org/doi/full/10.1056/nejmsa0900592 http://www.nejm.org/doi/pdf/10.1056/NEJMsa0900592 VL - 360 Y2 - 2016/09/24/15:39:54 ID - 2383 ER - TY - JOUR AB - Background: Many healthcare professionals use smartphones and tablets to inform patient care. Contemporary research suggests that handheld computers may support aspects of clinical diagnosis and management. This systematic review was designed to synthesise high quality evidence to answer the question; Does healthcare professionals' use of handheld computers improve their access to information and support clinical decision making at the point of care? Methods: A detailed search was conducted using Cochrane, MEDLINE, EMBASE, PsycINFO, Science and Social Science Citation Indices since 2001. Interventions promoting healthcare professionals seeking information or making clinical decisions using handheld computers were included. Classroom learning and the use of laptop computers were excluded. Two authors independently selected studies, assessed quality using the Cochrane Risk of Bias tool and extracted data. High levels of data heterogeneity negated statistical synthesis. Instead, evidence for effectiveness was summarised narratively, according to each study's aim for assessing the impact of handheld computer use. Results: We included seven randomised trials investigating medical or nursing staffs' use of Personal Digital Assistants. Effectiveness was demonstrated across three distinct functions that emerged from the data: accessing information for clinical knowledge, adherence to guidelines and diagnostic decision making. When healthcare professionals used handheld computers to access clinical information, their knowledge improved significantly more than peers who used paper resources. When clinical guideline recommendations were presented on handheld computers, clinicians made significantly safer prescribing decisions and adhered more closely to recommendations than peers using paper resources. Finally, healthcare professionals made significantly more appropriate diagnostic decisions using clinical decision making tools on handheld computers compared to colleagues who did not have access to these tools. For these clinical decisions, the numbers need to test/screen were all less than 11. Conclusion: Healthcare professionals' use of handheld computers may improve their information seeking, adherence to guidelines and clinical decision making. Handheld computers can provide real time access to and analysis of clinical information. The integration of clinical decision support systems within handheld computers offers clinicians the highest level of synthesised evidence at the point of care. Future research is needed to replicate these early results and to identify beneficial clinical outcomes. AU - Mickan, S. AU - Atherton, H. AU - Roberts, N. W. AU - Heneghan, C. AU - Tilson, J. K. DA - 2014 DO - 10.1186/1472-6947-14-56 J2 - BMC Medical Informatics and Decision Making KW - biomedical communication biomedical equipment data analysis data mining decision making Decision support systems information retrieval medical information systems patient care patient diagnosis smart phones Standards statistical analysis User interfaces PY - 2014 SN - 1472-6947 SP - 56-(10 pp.) ST - Use of handheld computers in clinical practice: a systematic review T2 - BMC Medical Informatics and Decision Making TI - Use of handheld computers in clinical practice: a systematic review UR - http://dx.doi.org/10.1186/1472-6947-14-56 VL - 14 ID - 1321 ER - TY - JOUR AB - INTRODUCTION: Acute pancreatitis (AP) is a complex disease with multiple aetiological factors, wide ranging severity, and multiple challenges to effective triage and management. Databases, data mining and machine learning algorithms (MLAs), including artificial neural networks (ANNs), may assist by storing and interpreting data from multiple sources, potentially improving clinical decision-making. AIMS: 1) Identify database technologies used to store AP data, 2) collate and categorise variables stored in AP databases, 3) identify the MLA technologies, including ANNs, used to analyse AP data, and 4) identify clinical and non-clinical benefits and obstacles in establishing a national or international AP database. METHODS: Comprehensive systematic search of online reference databases. The predetermined inclusion criteria were all papers discussing 1) databases, 2) data mining or 3) MLAs, pertaining to AP, independently assessed by two reviewers with conflicts resolved by a third author. RESULTS: Forty-three papers were included. Three data mining technologies and five ANN methodologies were reported in the literature. There were 187 collected variables identified. ANNs increase accuracy of severity prediction, one study showed ANNs had a sensitivity of 0.89 and specificity of 0.96 six hours after admission--compare APACHE II (cutoff score >/=8) with 0.80 and 0.85 respectively. Problems with databases were incomplete data, lack of clinical data, diagnostic reliability and missing clinical data. CONCLUSION: This is the first systematic review examining the use of databases, MLAs and ANNs in the management of AP. The clinical benefits these technologies have over current systems and other advantages to adopting them are identified. AU - van den Heever, Marc AU - Mittal, Anubhav AU - Haydock, Matthew AU - Windsor, John DA - 2014/02//Jan- undefined DO - 10.1016/j.pan.2013.11.010 IS - 1 J2 - Pancreatology KW - *Databases, Factual Acute pancreatitis Algorithms artificial intelligence Artificial neural networks Database management systems data mining Decision Making, Computer-Assisted Humans Machine learning algorithms Medical informatics Neural Networks (Computer) Pancreatitis/*diagnosis LA - eng PY - 2014 SN - 1424-3911 1424-3903 SP - 9-16 ST - The use of intelligent database systems in acute pancreatitis--a systematic review T2 - Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] TI - The use of intelligent database systems in acute pancreatitis--a systematic review VL - 14 ID - 142 ER - TY - CONF AB - In this paper we explore the application of powerful optimisers known as metaheuristic algorithms to problems within the data mining domain. We introduce some well-known data mining problems, and show how they can be formulated as optimisation problems. We then review the use of metaheuristics in this context. In particular, we focus on the task of partial classification and show how multi-objective metaheuristics have produced results that are comparable to the best known techniques but more scalable to large databases. We conclude by reinforcing the importance of research on the areas of metaheuristics for optimisation and data mining. The combination of robust methods for solving real-life problems in a reasonable time and the ability to apply these methods to the analysis of large repositories of data may hold the key for success in many other scientific and commercial application areas. 2005 IEEE. AU - De La Iglesia, Beatriz AU - Reynolds, Alan C3 - 1st International Conference on Information and Communication Technology, ICICT 2005, August 27, 2005 - August 28, 2005 DA - 2005 DO - 10.1109/ICICT.2005.1598541 KW - Algorithms Classification (of information) Database systems data mining Heuristic methods Metadata Optimization Problem solving N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2005 SP - 34-44 ST - The use of meta-heuristic algorithms for data mining T3 - Proceedings of 1st International Conference on Information and Communication Technology, ICICT 2005 TI - The use of meta-heuristic algorithms for data mining UR - http://dx.doi.org/10.1109/ICICT.2005.1598541 VL - 2005 ID - 1831 ER - TY - JOUR AB - We conducted a systematic review to determine if the use of nutrition apps resulted in improved outcomes, including knowledge and behavior, among healthy adults. Using app(s), cellular phone, iPads, mobile phone, mobile telephone, smart phone, mobile and mHealth as search terms with diet, food and nutrition as qualifiers we searched PubMed, CINAHL (January 2008--October 2013) and Web of Science (January 2008--January 2014). Inclusion criteria were peer-reviewed randomized controlled trials, non-controlled trials, and cohort studies published in English that used apps to increase nutrition knowledge or improve behavior related to nutrition. Studies that were descriptive, did not include apps, focused on app development, app satisfaction app feasibility, text messaging, or digital photography were excluded. We evaluated article quality using the Academy of Nutrition and Dietetics Evidence Analysis Manual. Data was extracted for knowledge, behavior and weight change. Our initial search identified 12,010 titles from PubMed, 260 from CINAHL and 4762 from Web of Science; of these, only four articles met all search criteria. Positive quality ratings were given to three articles; only one reported knowledge outcomes (non-significant). All four articles evaluated weight loss and suggested an advantage to using nutrition apps. Behavioral changes in reviewed studies included increased adherence to diet monitoring (p 0.001) and decreased effort to continue diet without app (p = 0.024). Few studies, however, have explored the use of nutrition apps as supportive educational interventions. Most apps focus on weight loss with inconsistent outcomes. We conclude that using apps for education needs additional research which includes behavior theory within the app and improved study design. AU - DiFilippo, K. N. AU - Wen-Hao, Huang AU - Andrade, J. E. AU - Chapman-Novakofski, K. M. DA - 2015/07// DO - 10.1177/1357633X15572203 IS - 5 J2 - Journal of Telemedicine and Telecare KW - data mining information retrieval medical computing Reviews smart phones Software packages Telemedicine PY - 2015 SN - 1357-633X SP - 243-53 ST - The use of mobile apps to improve nutrition outcomes: A systematic literature review T2 - Journal of Telemedicine and Telecare TI - The use of mobile apps to improve nutrition outcomes: A systematic literature review UR - http://dx.doi.org/10.1177/1357633X15572203 http://jtt.sagepub.com/content/21/5/243.long VL - 21 ID - 648 ER - TY - JOUR AB - Objective: To summarise the extent to which narrative text fields in administrative health data are used to gather information about the event resulting in presentation to a health care provider for treatment of an injury, and to highlight best practise approaches to conducting narrative text interrogation for injury surveillance purposes. Design: Systematic review. Data sources: Electronic databases searched included CINAHL, Google Scholar, Medline, Proquest, PubMed and PubMed Central. Snowballing strategies were employed by searching the bibliographies of retrieved references to identify relevant associated articles. Selection criteria: Papers were selected if the study used a health-related database and if the study objectives were to a) use text field to identify injury cases or use text fields to extract additional information on injury circumstances not available from coded data or b) use text fields to assess accuracy of coded data fields for injury-related cases or c) describe methods/approaches for extracting injury information from text fields. Methods: The papers identified through the search were independently screened by two authors for inclusion, resulting in 41 papers selected for review. Due to heterogeneity between studies meta-analysis was not performed. Results: The majority of papers reviewed focused on describing injury epidemiology trends using coded data and text fields to supplement coded data (28 papers), with these studies demonstrating the value of text data for providing more specific information beyond what had been coded to enable case selection or provide circumstantial information. Caveats were expressed in terms of the consistency and completeness of recording of text information resulting in underestimates when using these data. Four coding validation papers were reviewed with these studies showing the utility of text data for validating and checking the accuracy of coded data. Seven studies (9 papers) described methods for interrogating injury text fields for systematic extraction of information, with a combination of manual and semi-automated methods used to refine and develop algorithms for extraction and classification of coded data from text. Quality assurance approaches to assessing the robustness of the methods for extracting text data was only discussed in 8 of the epidemiology papers, and 1 of the coding validation papers. All of the text interrogation methodology papers described systematic approaches to ensuring the quality of the approach. Conclusions: Manual review and coding approaches, text search methods, and statistical tools have been utilised to extract data from narrative text and translate it into useable, detailed injury event information. These techniques can and have been applied to administrative datasets to identify specific injury types and add value to previously coded injury datasets. Only a few studies thoroughly described the methods which were used for text mining and less than half of the studies which were reviewed used/described quality assurance methods for ensuring the robustness of the approach. New techniques utilising semi-automated computerised approaches and Bayesian/clustering statistical methods offer the potential to further develop and standardise the analysis of narrative text for injury surveillance. 2009 Elsevier Ltd. All rights reserved. AU - McKenzie, Kirsten AU - Scott, Deborah Anne AU - Campbell, Margaret Ann AU - McClure, Roderick John DA - 2010 DO - 10.1016/j.aap.2009.09.020 IS - 2 J2 - Accident Analysis and Prevention KW - Classification (of information) data mining Flow patterns Health Health care Monitoring Paper Quality Assurance Quality Control Statistical mechanics Text processing Total quality management N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2010 SN - 00014575 SP - 354-363 ST - The use of narrative text for injury surveillance research: A systematic review T2 - Accident Analysis and Prevention TI - The use of narrative text for injury surveillance research: A systematic review UR - http://dx.doi.org/10.1016/j.aap.2009.09.020 VL - 42 ID - 1852 ER - TY - CONF AB - The use of systematic review methods, derived from System Safety approaches used in the North American nuclear power industry, have become an accepted approach for seeking 'approval' for new coal mining equipment and operational changes in NSW. Based on risk analysis, they provide a valuable and needed framework for the reduction of losses related to people, equipment and production. AU - Joy, J. C3 - International Conference on Reliability, Production, and Control in Coal Mines, September 2, 1991 - September 6, 1991 DA - 1991 KW - COAL MINES AND MINING Mining Machinery - Analysis Risk Studies - Health Risks Risk Studies - Occupational N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Publ by Australasian Inst of Mining & Metallurgy PY - 1991 SP - 333-335 ST - Use of qualitative and quantitative risk analysis techniques to control safety and other losses in underground coal mining T3 - International Conference on Reliability, Production, and Control in Coal Mines TI - Use of qualitative and quantitative risk analysis techniques to control safety and other losses in underground coal mining ID - 1224 ER - TY - JOUR AB - Objective: Urgent clinician-clinician communications require routes of contact that are fast and dependable, and allow for the exchange of complex information. Despite the increasing focus on improving healthcare delivery systems over the past decade, few studies have examined the role of technology in clinician-clinician communication. The aim of this study was to review the literature examining the role of devices and technology in facilitating urgent clinician-clinician communication to identify critical areas for future research. Materials and methods: A search of Pub Med was performed using the terms ((((Critical Care[Mesh] OR urgent)))) AND (((hospital communication systems[MeSH Terms]) OR health communication[MeSH Terms]) OR interdisciplinary communication[MeSH Terms]). Commentaries and editorials were excluded. Results: The initial search returned 272 articles, which were reviewed to identify articles describing: (1) the role of technological support or devices in clinician-clinician communication, (2) technology-based interventions that improved clinician-to-clinician communication in hospitals or acute care facilities related to critically ill patients, or (3) critical information exchange. A total of 16 articles were included in the final review. These were grouped into three categories: alphanumeric pagers, cellular and smart telephones, and novel uses of technology. Discussion: Breakdowns in clinician-clinician communication are complex and cannot be solved through the implementation of devices or technologically advanced systems alone. It is essential to understand the correlation between emerging technologies, a demanding workload, and clinician-clinician interaction. Enhanced communication of clinical ideas, opportunities for team discussion, and a sense of partnership and support require not just increased information, but enhanced delivery. [All rights reserved Elsevier]. AU - Nguyen, C. AU - McElroy, L. M. AU - Abecassis, M. M. AU - Holl, J. L. AU - Ladner, D. P. DA - 2015/02// DO - 10.1016/j.ijmedinf.2014.11.003 IS - 2 J2 - International Journal of Medical Informatics KW - biomedical equipment data mining electronic data interchange Hospitals Information technology medical information systems paging communication patient care Reviews smart phones Telemedicine PY - 2015 SN - 1386-5056 SP - 101-10 ST - The use of technology for urgent clinician to clinician communications: A systematic review of the literature T2 - International Journal of Medical Informatics TI - The use of technology for urgent clinician to clinician communications: A systematic review of the literature UR - http://dx.doi.org/10.1016/j.ijmedinf.2014.11.003 VL - 84 ID - 1151 ER - TY - CONF AB - Tracking entities, so that new or important information about that entities are caught is a real challenge and has many applications (e.g., information monitoring, marketing,...). We are interesting in how to represent an entity profile to fulfill two purposes 1. entity detection and disambiguation 2. novelty and importance quantification. We propose an entity profile, which uses two language models. First, the Reference Language Model (RLM), which is mainly used for disambiguation. Second, we propose a formalization of a Time-Aware Language Model, which is used for novelty detection. To rank documents, we propose a semi-supervised classification approach which uses meta-features computed on documents using entity profiles and time series. AU - Bouvier, V. AU - Bellot, P. DA - 2014/11// KW - classification data mining Experimental design information retrieval Knowledge based systems Learning machines Mathematical filters Natural language Pattern recognition Probability Rank order statistics Semantics Systems engineering Text processing Time series analysi N1 -Compiled and Distributed by the NTIS, U.S. Department of Commerce. It contains copyrighted material. All rights reserved. 2016
PY - 2014 SP - 8p ST - Use of Time-Aware Language Model in Entity Driven Filtering System TI - Use of Time-Aware Language Model in Entity Driven Filtering System ID - 926 ER - TY - CONF AB - Natural gases normally contain significant quantities of water. During production, transportation and processing operations, undesired amounts of dissolved water may condense altering the physical state from vapor to condensate, gas hydrate and/or ice. Condensate formation may lead to corrosion and /or two-phase flow problems. The formation of gas hydrate/ice could result in pipelines blockage and shutdown. Accurate knowledge of phase behavior in water + natural gas system, especially near and inside the gas hydrate or ice formation regions, is therefore of interest to avoid these problems. A gas phase (with dissolved water) can form condensate, gas hydrate or ice at the liquid water - gas, hydrate - gas or ice - gas boundaries, respectively, without a free water phase, from a strict thermodynamic standpoint. The question of the accumulation of gas hydrate/ice phase is a question of kinetics, dependent upon the time necessary for nuclei to attain a critical size. This time may be in excess of that available for laboratory study but may occur in processes, which operate over extended periods of days, months or years.1-14 The experimental water content data at low temperatures, especially near and inside the gas hydrate or ice formation regions, are normally scarce and often rather dispersed.9-11 The works done to describe the water content of gas in equilibrium with gas hydrate/ice in the two-phase region are limited in accuracy mainly due to two factors: the fact that meta-stable liquid water may extend well into the gas hydrate/ice region and the experimental restraint that the existing analysis methods require large amounts of gas in equilibrium with gas hydrate.1-14 The establishment of hydrate-gas or ice-gas equilibrium constitutes the principle problems associated with properly conducting the tests. It is necessary to decompose and recrystallize the gas hydrate phase to ensure that the hydrate crystal is indeed in equilibrium with the gas phase.1-14 Therefore, there is a paucity of accurate equilibrium data in the hydrate - gas and ice - gas regions. Most of the available experimental data inside the hydrate and ice regions do not warrant real thermodynamic equilibrium, i.e. these data are not in equilibrium with gas hydrate or ice. Literature survey reveals the availability of few sets of experimental data for water content of gases in equilibrium with gas hydrate/ice and all other data represent meta-stable liquid water - gas equilibrium. Therefore, few predictive methods for the water content of gases in equilibrium with gas hydrate/ice have been recommended in the literature as these methods are generally based on experimental data.1,7,8,10,11,14 The main aim of this work is to present useful remarks to reduce experimental information required to determine water content of gas in equilibrium with condensate, gas hydrate or ice. A thermodynamic model based on uniformity of fugacity of each component throughout all the phases' is employed to model the liquid water - gas equilibrium. The Valderrama modification of the Patel - Teja equation of state 17 with the non density dependent mixing rules18 is used for calculating fugacities of components in fluid phases. The binary interaction parameters are tuned using a Simplex algorithm.15 The model is extended to methane (the major component of natural gases) + water system. It is shown that using only experimental data on solubility of gas in liquid water for tuning thermodynamic model 15,16 can lead to acceptable predictions of water content of gas phase. Predictive tools based on equality of water fugacity in equilibrium phases for estimating the water content of gas in equilibrium with gas hydrate or ice and relating it to the corresponding water content in equilibrium with meta-stable liquid water are then presented. The capabilities of these tools are investigated for estimating the water content of methane in equilibrium with gas hydrate or ice by comparing their predictions with some experimental data reported in the literature. It is shown that the results are in relatively acceptable agreement demonstrating the capability of the methods reported in this work for estimating the water content of gas being in equilibrium with gas hydrate/ice. AU - Mohammadi, Amir H. AU - Afzal, Waheed AU - Richon, Dominique C3 - 2007 AIChE Annual Meeting, November 4, 2007 - November 9, 2007 DA - 2007 KW - Dissolution Equations of state Experiments Fluid dynamics Forecasting Gas condensates Gas dynamics Gases Gas hydrates Gas industry Hydration Ice Ice problems Liquids Methane Multiphase flow Natural gas Phase equilibria Pipelines Solid solutions Ternary systems Thermodynamic properties Thermodynamics Two phase flow Water analysis Water content Water vapor N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - American Institute of Chemical Engineers PY - 2007 ST - Useful remarks to reduce experimental information required to determine water content of gas in equilibrium with gas hydrate, ice or liquid water T3 - AIChE Annual Meeting, Conference Proceedings TI - Useful remarks to reduce experimental information required to determine water content of gas in equilibrium with gas hydrate, ice or liquid water ID - 712 ER - TY - CONF AB - NEIMiner is an integrated information system for studying the nanomaterial environmental impact (NEI). However, there is a lack of visual analytic tools that efficiently query and present large-scaled bibliography meta-data and NEI characterizations in a meaningful way. This paper presents the design and implementation efforts of developing the information visualization (InfoVis) module for NEIMiner. We first describe a user centered design approach to identify the analysis tasks, to select suitable visual representations, and to iteratively validate and improve the development. We then show that how existing techniques, such as graph simplification, enriched visualization algorithms and interactive features, can be usefully combined to aid users gaining insights. We demonstrate the utility of Info Vis through scenarios of constructing co-authorship network, bibliography keywords network, and nanomaterial terms co-occurrence network. We implement our techniques as a Drupal module. Our design is supportive for analysts and researchers to identify concepts and relationships in studying environmental impact of nanomaterial. AU - Hui, Yang AU - Kumara, S. AU - Tang, K. AU - Liu, X. AU - Xiao, L. AU - Xu, R. C3 - 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 18-21 Dec. 2013 DA - 2013 DO - 10.1109/BIBM.2013.6732724 KW - bibliographic systems bioinformatics data analysis data mining data visualisation environmental factors Graph theory Information systems nanobiotechnology Nanostructured materials user centred design PB - IEEE PY - 2013 SP - 31-6 ST - A user centered approach to developing information visualization module for NEIMiner T3 - 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) TI - A user centered approach to developing information visualization module for NEIMiner UR - http://dx.doi.org/10.1109/BIBM.2013.6732724 ID - 1405 ER - TY - CONF AB - User Centric Monitoring (or UCM) has been a long awaited feature in STAR, whereas programs, workflows and system "events" could be logged, broadcast and later analyzed. UCM allows to collect and filter available job monitoring information from various resources and present it to users in a user-centric view rather than an administrative-centric point of view. The first attempt and implementation of "a" UCM approach was made in STAR 2004 using a log4cxx plug-in back-end and then further evolved with an attempt to push toward a scalable database back-end (2006) and finally using a Web-Service approach (2010, CSW4DB SBIR). The latest showed to be incomplete and not addressing the evolving needs of the experiment where streamlined messages for online (data acquisition) purposes as well as the continuous support for the data mining needs and event analysis need to coexists and unified in a seamless approach. The code also revealed to be hardly maintainable. This paper presents the next evolutionary step of the UCM toolkit, a redesign and redirection of our latest attempt acknowledging and integrating recent technologies and a simpler, maintainable and yet scalable manner. The extended version of the job logging package is built upon three-tier approach based on Task, Job and Event, and features a Web-Service based logging API, a responsive AJAX-powered user interface, and a database back-end relying on MongoDB, which is uniquely suited for STAR needs. In addition, we present details of integration of this logging package with the STAR offline and online software frameworks. Leveraging on the reported experience and work from the ATLAS and CMS experience on using the ESPER engine, we discuss and show how such approach has been implemented in STAR for meta-data event triggering stream processing and filtering. An ESPER based solution seems to fit well into the online data acquisition system where many systems are monitored. AU - Arkhipkin, D. AU - Lauret, J. AU - Zulkarneeva, Y. C3 - 20th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2013, October 14, 2013 - October 18, 2013 DA - 2014 DO - 10.1088/1742-6596/513/3/032002 KW - Nuclear physics Stars User interfaces Web services L1 - internal-pdf://2260289380/Arkhipkin-2014-User centric job monitoring - A.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Physics Publishing PY - 2014 SN - 17426588 ST - User centric job monitoring - A redesign and novel approach in the STAR experiment T3 - Journal of Physics: Conference Series TI - User centric job monitoring - A redesign and novel approach in the STAR experiment UR - http://dx.doi.org/10.1088/1742-6596/513/3/032002 http://iopscience.iop.org/article/10.1088/1742-6596/513/3/032002/pdf VL - 513 ID - 623 ER - TY - CONF AB - Although there are numerous search engines in the Web environment, no one could claim producing reliable results in all conditions. This problem is becoming more serious considering the exponential growth of the number of Web resources. In the response to these challenges, the meta-search engines are introduced to enhance the search process by devoting some outstanding search engines as their information resources. In recent years, some approaches are proposed to handle the result combination problem which is the fundamental problem in the meta-search environment. In this paper, a new merging/re-ranking method is introduced which uses the characteristics of the Web co-citation graph that is constructed from search engines and returned lists. The information extracted from the co-citation graph, is combined and enriched by the users' click-through data as their implicit feedback in an adaptive framework. Experimental results show a noticeable improvement against the basic method as well as some well-known meta-search engines. AU - Keyhanipour, A. H. AU - Piroozmand, M. AU - Bidoki, A. AU - Badie, K. C3 - 2008 First International Conference on the Applications of Digital Information and Web Technologies, 4-6 Aug. 2008 DA - 2008 DO - 10.1109/ICADIWT.2008.4664410 KW - Citation Analysis information retrieval Internet Search Engines PB - IEEE PY - 2008 SP - 563-8 ST - User-based meta-search with the co-citation graph T3 - 2008 First International Conference on the Applications of Digital Information and Web Technologies TI - User-based meta-search with the co-citation graph UR - http://dx.doi.org/10.1109/ICADIWT.2008.4664410 ID - 1588 ER - TY - JOUR AB - The increased availability of spatial data in recent years has lead to new challenges in the analysis of large multidimensional datasets. One solution is to integrate GIS with OLAP and relational databases. Another strategy has been to leverage existing spatial capabilities of databases to perform spatial OLAP. In this article, we review existing modelling strategies for spatial data warehousing at all three levels: conceptual, logical and implementation. We gather the most essential requirements for handling spatial data and use insights from spatial databases and GIS systems to design a meta-framework that would enable a user-centric modelling of complex data. Our strategy is to keep the user as the focal point in the analysis process and lay the foundation for clear data abstraction at different levels using multidimensional abstract data types and operations and thus support complex spatial data in data warehouses. AU - Viswanathan, G. AU - Schneider, M. DA - 2014 DO - 10.1504/IJDMMM.2014.066764 IS - 4 J2 - International Journal of Data Mining, Modelling and Management KW - data mining Data warehouses Geographic information systems visual databases PY - 2014 SN - 1759-1163 SP - 369-90 ST - User-centric spatial data warehousing: a survey of requirements and approaches T2 - International Journal of Data Mining, Modelling and Management TI - User-centric spatial data warehousing: a survey of requirements and approaches UR - http://inderscience.metapress.com/link.asp?target=contribution&id=Y0132P8217104684 http://dx.doi.org/10.1504/IJDMMM.2014.066764 VL - 6 ID - 1022 ER - TY - BOOK A3 - Menzies, F. D. A2 - Reid, S. W. J. AB - This paper presents an information extraction method, called systematic review, which can be used to identify risk factors that can be modified to provide practical intervention strategies. A systematic review of lameness in cattle (http://cattle-lameness.dhs.org/) was carried out and yielded 1,007 references, written in English. Almost half of these references (n = 445) involved epidemiological investigations of at least one risk factor for lameness. References that investigated 'biological' risk factors (n = 259), were used for illustrative purposes. Relevant information was found in 85 of these references. The majority of these had appropriate statistical analyses. To highlight pertinent points, evidence for the relationship between the time of year that calving occurred and lameness was obtained from 22 references that covered 47 investigations. There were 23 different definitions of calving season and IS different lameness and lesion outcomes considered. This demonstrated that meta-analysis was not feasible. Overall, there was little evidence that calving season had a consistent effect on lameness and lesion outcomes, and the effects that were seen, were small. AU - Le Fevre, A. M. AU - Hirst, W. M. AU - French, N. P. AU - Offer, J. E. AU - Brocklehurst, S. AU - Gibbs, A. AU - Laven, R. AU - Gettinby, G. AU - Logue, D. N. DA - 2002 PY - 2002 SN - 0-948073-54-3 ST - Using a systematic review of lameness in cattle to develop an intervention study TI - Using a systematic review of lameness in cattle to develop an intervention study ID - 1948 ER - TY - JOUR AB - This paper proposes a novel method of analyzing data to find important information about the context of research papers. The proposed CCTVA (Collecting, Cleaning, Translating, Visualizing, and Analyzing) method helps researchers find the context of papers on topics of interest. Specifically, the method provides visualization information that maps a research topics evolution and links to other papers based on the results of Google Scholar and CiteSeer. CCTVA provides two types of information: one type shows the papers title and the author, while the other shows the papers title and the reference. The goal of CCTVA is enable both novices and experts to gain insight into how a fields topics evolve over time. In addition, by using linkage analysis and visualization, we identify five special phenomena that can help researchers conduct literature reviews. AU - Lu, Chun-Hung AU - Wang, Chih-Chien AU - Day, Min-Yuh AU - Ong, Chorng-Shyong AU - Hsu, Wen-Lian DA - 2008 J2 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) KW - artificial intelligence bioinformatics Human engineering visualization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2008 SN - 03029743 SP - 343-354 ST - Using cited by information to find the context of research papers T2 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Using cited by information to find the context of research papers VL - 5075 ID - 1306 ER - TY - JOUR AB - BACKGROUND: A popular query from scientists reading a biomedical abstract is to search for topic-related documents in bibliographic databases. Such a query is challenging because the amount of information attached to a single abstract is little, whereas classification-based retrieval algorithms are optimally trained with large sets of relevant documents. As a solution to this problem, we propose a query expansion method that extends the information related to a manuscript using its cited references. RESULTS: Data on cited references and text sections in 249,108 full-text biomedical articles was extracted from the Open Access subset of the PubMed Central(R) database (PMC-OA). Of the five standard sections of a scientific article, the Introduction and Discussion sections contained most of the citations (mean = 10.2 and 9.9 citations, respectively). A large proportion of articles (98.4%) and their cited references (79.5%) were indexed in the PubMed(R) database. Using the MedlineRanker abstract classification tool, cited references allowed accurate retrieval of the citing document in a test set of 10,000 documents and also of documents related to six biomedical topics defined by particular MeSH(R) terms from the entire PMC-OA (p-value<0.01). Classification performance was sensitive to the topic and also to the text sections from which the references were selected. Classifiers trained on the baseline (i.e., only text from the query document and not from the references) were outperformed in almost all the cases. Best performance was often obtained when using all cited references, though using the references from Introduction and Discussion sections led to similarly good results. This query expansion method performed significantly better than pseudo relevance feedback in 4 out of 6 topics. CONCLUSIONS: The retrieval of documents related to a single document can be significantly improved by using the references cited by this document (p-value<0.01). Using references from Introduction and Discussion performs almost as well as using all references, which might be useful for methods that require reduced datasets due to computational limitations. Cited references from particular sections might not be appropriate for all topics. Our method could be a better alternative to pseudo relevance feedback though it is limited by full text availability. AU - Ortuno, Francisco M. AU - Rojas, Ignacio AU - Andrade-Navarro, Miguel A. AU - Fontaine, Jean-Fred DA - 2013 DO - 10.1186/1471-2105-14-113 J2 - BMC Bioinformatics KW - *PubMed Algorithms Data Mining/*methods Medical Subject Headings LA - eng PY - 2013 SN - 1471-2105 1471-2105 SP - 113 ST - Using cited references to improve the retrieval of related biomedical documents T2 - BMC bioinformatics TI - Using cited references to improve the retrieval of related biomedical documents VL - 14 ID - 332 ER - TY - CONF AB - This paper shows that the performance of a linear SVM classifier can be improved by utilizing meta-information derived from clustering. Clustering aims in discovering extra knowledge concerning the structure of the whole dataset, (both training and testing set). A co-training algorithm is introduced that uses clustering as a complementary step to text classification. At each iteration step of the algorithm the clustering phase augments the feature space with a new meta-feature that for each document reflects cluster membership and the classification phase introduces another meta-feature that indicates class membership. Experimental results obtained using widely used datasets demonstrate the effectiveness of the proposed approaches especially for small training sets. AU - Kyriakopoulou, A. C3 - 2007 19th IEEE International Conference on Tools with Artificial Intelligence, 29-31 Oct. 2007 DA - 2008 KW - data mining pattern classification pattern clustering Support Vector Machines text analysis PB - IEEE PY - 2008 SP - 325-30 ST - Using clustering and co-training to boost classification performance T3 - 2007 19th IEEE International Conference on Tools with Artificial Intelligence TI - Using clustering and co-training to boost classification performance VL - vol.2 ID - 1167 ER - TY - JOUR AB - The LO-DL (learning objects digital library) project is being developed at PUC-Rio in the Database Tecnology Lab (TECBD). This Project aims at integrating LOs repositories through their metadata in a uniform catalog or digital library (DL), making it transparent to the users their locations and characteristics. The process of digital library development includes issues such as the integration of several databases. Moreover, access to the DL (digital library) must be assisted by the use of content hierarchies that guide the user in the discovery and filtering of information of his/her interest In this work we propose a new approach for developing digital libraries of learning objects using a data warehousing architecture, which is a method that addresses both issues mentioned above. We make comparisons between the components and services of both the data warehousing and the "digital librarying" architectures. Furthermore, we suggest the use of data mining techniques in some steps of the building and utilization of the DL. In particular we would detail the users profiles' analysis process which uses the library access log and a data mining tool for the library automatic refresh. We propose the use of association rules for the detection of the users needs so that the system can then search and make the new LOs available in the next loading (refresh) of the library. The supporting database which contains the ontology (in our case a taxonomy) of the LOs of interest is also described in the paper. AU - Baruque, C. B. AU - Melo, R. N. DA - 2006/11// IS - 11 J2 - WSEAS Transactions on Computers KW - cataloguing data mining Data warehouses Digital Libraries information filtering Information Resources meta data ontologies (artificial intelligence) PY - 2006 SN - 1109-2750 SP - 2662-7 ST - Using data mining for the refresh of learning objects digital libraries T2 - WSEAS Transactions on Computers TI - Using data mining for the refresh of learning objects digital libraries VL - 5 ID - 1725 ER - TY - CONF AU - Shouman, Mai AU - Turner, Tim AU - Stocker, Rob C3 - Electronics, Communications and Computers (JEC-ECC), 2012 Japan-Egypt Conference on DA - 2012 DP - Google Scholar PB - IEEE PY - 2012 SP - 173-177 ST - Using data mining techniques in heart disease diagnosis and treatment TI - Using data mining techniques in heart disease diagnosis and treatment UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6186978 http://ieeexplore.ieee.org/document/6186978/ Y2 - 2016/09/24/16:08:30 ID - 2446 ER - TY - JOUR AU - Baca-García, Enrique AU - Perez-Rodriguez, M. Mercedes AU - Basurte-Villamor, Ignacio AU - Saiz-Ruiz, Jeronimo AU - Leiva-Murillo, José M. AU - de Prado-Cumplido, Mario AU - Santiago-Mozos, Ricardo AU - Artés-Rodríguez, Antonio AU - De Leon, Jose AU - others DA - 2006 DP - Google Scholar IS - 7 L1 - http://www.tsc.uc3m.es/~antonio/papers/P27_2006_Using%20Data%20Mining%20to%20Explore%20Complex%20Clinical%20Decisions%20A%20Study%20of%20Hospitalization%20after%20a%20Suicide%20Attempt.pdf PY - 2006 SP - 1124-1132 ST - Using data mining to explore complex clinical decisions T2 - Journal of clinical psychiatry TI - Using data mining to explore complex clinical decisions: a study of hospitalization after a suicide attempt UR - http://www.tsc.uc3m.es/~antonio/papers/P27_2006_Using%20Data%20Mining%20to%20Explore%20Complex%20Clinical%20Decisions%20A%20Study%20of%20Hospitalization%20after%20a%20Suicide%20Attempt.pdf http://www.psychiatrist.com/jcp/article/pages/2006/v67n07/v67n0716.aspx VL - 67 Y2 - 2016/09/24/16:08:30 ID - 2451 ER - TY - CONF AB - Systematic reviews are considered fundamental tools for Evidence-Based Medicine. Such reviews require frequent and time- consuming updating. This study aims to compare the performance of combining relatively simple Bayesian classifiers using a fixed rule, to the relatively complex linear Support Vector Machine for medical systematic reviews. A collection of four systematic drug reviews is used to compare the performance of the classifiers in this study. Cross-validation experiments were performed to evaluate performance. We found that combining Discriminative Multinomial Naive Bayes and Complement Naive Bayes performs equally well or better than SVM while being about 25% faster than SVM in training time. The results support the usefulness of using an ensemble of Bayesian classifiers for machine learning-based automation of systematic reviews of medical topics, especially when datasets have a large number of abstracts. Further work is needed to integrate the powerful features of such Bayesian classifiers together. 2014 Springer International Publishing. AU - Aref, Abdullah AU - Tran, Thomas C3 - 27th Canadian Conference on Artificial Intelligence, AI 2014, May 6, 2014 - May 9, 2014 DA - 2014 DO - 10.1007/978-3-319-06483-3_23 KW - Algorithms artificial intelligence data mining Support Vector Machines L1 - internal-pdf://2001100545/chp%253A10.1007%252F978-3-319-06483-3_23.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2014 SN - 03029743 SP - 263-268 ST - Using ensemble of Bayesian classifying algorithms for medical systematic reviews T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Using ensemble of Bayesian classifying algorithms for medical systematic reviews UR - http://dx.doi.org/10.1007/978-3-319-06483-3_23 VL - 8436 LNAI ID - 1590 ER - TY - JOUR AU - Shetty, Kanaka D. AU - Dalal, Siddhartha R. DA - 2011 DP - Google Scholar IS - 5 L1 - https://www.researchgate.net/profile/Kanaka_Shetty/publication/51102075_Using_information_mining_of_the_medical_literature_to_improve_drug_safety/links/0fcfd50c9fd29868fa000000.pdf PY - 2011 SP - 668-674 ST - Using information mining of the medical literature to improve drug safety T2 - Journal of the American Medical Informatics Association TI - Using information mining of the medical literature to improve drug safety UR - http://jamia.oxfordjournals.org/content/18/5/668.short VL - 18 Y2 - 2016/09/24/16:07:04 ID - 2430 ER - TY - CHAP A2 - Cordeiro, J. A2 - Maciaszek, L. A. A2 - Filipe, J. AB - Systematic Literature Review (SLR or SR) and Systematic Mapping (SM) are scientific literature review techniques that follow well-defined stages, according to a protocol previously elaborated. Besides systematizing the search for relevant studies, the SR predicts the organization and the analysis of the obtained results. However, the SR application is laborious because there are many steps to be followed. Aiming to offer computational support to SR and SM, the StArt (State of the Art through Systematic Review) tool was developed. Besides helping the steps of SR or SM, the StArt tool has implemented visualization and text mining techniques to support the conduction and the reporting of the SR or SM. A comparative analysis was carried out in relation to StArt and other similar tools. AU - Fabbri, Sandra AU - Hernandes, Elis AU - Di Thommazo, Andre AU - Belgamo, Anderson AU - Zamboni, Augusto AU - Silva, Cleiton L1 - internal-pdf://1433925857/chp%253A10.1007%252F978-3-642-40654-6_15.pdf PY - 2013 SN - 978-3-642-40654-6 978-3-642-40653-9 SP - 243-256 ST - Using Information Visualization and Text Mining to Facilitate the Conduction of Systematic Literature Reviews T2 - Enterprise Information Systems, Iceis 2012 TI - Using Information Visualization and Text Mining to Facilitate the Conduction of Systematic Literature Reviews VL - 141 ID - 2208 ER - TY - JOUR AB - BACKGROUND: There is increasing interest in innovative methods to carry out systematic reviews of complex interventions. Theory-based approaches, such as logic models, have been suggested as a means of providing additional insights beyond that obtained via conventional review methods. METHODS: This paper reports the use of an innovative method which combines systematic review processes with logic model techniques to synthesise a broad range of literature. The potential value of the model produced was explored with stakeholders. RESULTS: The review identified 295 papers that met the inclusion criteria. The papers consisted of 141 intervention studies and 154 non-intervention quantitative and qualitative articles. A logic model was systematically built from these studies. The model outlines interventions, short term outcomes, moderating and mediating factors and long term demand management outcomes and impacts. Interventions were grouped into typologies of practitioner education, process change, system change, and patient intervention. Short-term outcomes identified that may result from these interventions were changed physician or patient knowledge, beliefs or attitudes and also interventions related to changed doctor-patient interaction. A range of factors which may influence whether these outcomes lead to long term change were detailed. Demand management outcomes and intended impacts included content of referral, rate of referral, and doctor or patient satisfaction. CONCLUSIONS: The logic model details evidence and assumptions underpinning the complex pathway from interventions to demand management impact. The method offers a useful addition to systematic review methodologies. TRIAL REGISTRATION NUMBER: PROSPERO registration number: CRD42013004037. AU - Baxter, Susan K. AU - Blank, Lindsay AU - Woods, Helen Buckley AU - Payne, Nick AU - Rimmer, Melanie AU - Goyder, Elizabeth DA - 2014 DO - 10.1186/1471-2288-14-62 J2 - BMC Med Res Methodol KW - *Data Mining *Disease Management *Referral and Consultation Health Knowledge, Attitudes, Practice Humans Models, Theoretical Patient Satisfaction Physician-Patient Relations L1 - internal-pdf://3182432947/Baxter-2014-Using logic model methods in syste.pdf LA - eng PY - 2014 SN - 1471-2288 1471-2288 SP - 62 ST - Using logic model methods in systematic review synthesis: describing complex pathways in referral management interventions T2 - BMC medical research methodology TI - Using logic model methods in systematic review synthesis: describing complex pathways in referral management interventions UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4028001/pdf/1471-2288-14-62.pdf VL - 14 ID - 104 ER - TY - JOUR AB - The spatial location of sources of seismic waves is one of the first tasks when transient waves from natural (uncontrolled) sources are analysed in many branches of physics, including seismology, oceanology, to name a few. Source activity and its spatial variability in time, the geometry of recording network, the complexity and heterogeneity of wave velocity distribution are all factors influencing the performance of location algorithms and accuracy of the achieved results. Although estimating of the earthquake foci location is relatively simple, a quantitative estimation of the location accuracy is really a challenging task even if the probabilistic inverse method is used because it requires knowledge of statistics of observational, modelling and a priori uncertainties. In this paper, we addressed this task when statistics of observational and/or modelling errors are unknown. This common situation requires introduction of a priori constraints on the likelihood (misfit) function which significantly influence the estimated errors. Based on the results of an analysis of 120 seismic events from the Rudna copper mine operating in southwestern Poland, we propose an approach based on an analysis of Shanon's entropy calculated for the a posteriori distribution. We show that this meta-characteristic of the a posteriori distribution carries some information on uncertainties of the solution found. The Author 2015. Published by Oxford University Press on behalf of The Royal Astronomical Society. AU - Debski, Wojciech DA - 2015 DO - 10.1093/gji/ggv083 IS - 3 J2 - Geophysical Journal International KW - Complex networks Copper mines Errors inverse problems Location Seismology Uncertainty analysis Wave propagation L1 - internal-pdf://0294110991/Debski-2015-Using meta-information of a poster.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2015 SN - 0956540X SP - 1399-1408 ST - Using meta-information of a posteriori Bayesian solutions of the hypocentre location task for improving accuracy of location error estimation T2 - Geophysical Journal International TI - Using meta-information of a posteriori Bayesian solutions of the hypocentre location task for improving accuracy of location error estimation UR - http://dx.doi.org/10.1093/gji/ggv083 http://gji.oxfordjournals.org.ezproxy.lib.vt.edu/content/201/3/1399.full.pdf VL - 201 ID - 1752 ER - TY - JOUR AB - Knowledge Discovery in Databases is a complex process that involves many different data processing and learning operators. Today's Knowledge Discovery Support Systems can contain several hundred operators. A major challenge is to assist the user in designing workflows which are not only valid but also - ideally - optimize some performance measure associated with the user goal. In this paper we present such a system. The system relies on a meta-mining module which analyses past data mining experiments and extracts meta-mining models which associate dataset characteristics with workflow descriptors in view of workflow performance optimization. The meta-mining model is used within a data mining workflow planner, to guide the planner during the workflow planning. We learn the meta-mining models using a similarity learning approach, and extract the workflow descriptors by mining the workflows for generalized relational patterns accounting also for domain knowledge provided by a data mining ontology. We evaluate the quality of the data mining workflows that the system produces on a collection of real world datasets coming from biology and show that it produces workflows that are significantly better than alternative methods that can only do workflow selection and not planning. AU - Nguyen, Phong AU - Hilario, Melanie AU - Kalousis, Alexandros DA - 2014 J2 - Journal of Artificial Intelligence Research KW - data handling data mining N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 10769757 SP - 605-644 ST - Using meta-mining to support data mining workflow planning and optimization T2 - Journal of Artificial Intelligence Research TI - Using meta-mining to support data mining workflow planning and optimization VL - 51 ID - 1836 ER - TY - JOUR AB - This work investigates the effectiveness of using computer-based machine learning regression algorithms and meta-regression methods to predict performance data for Australian football players based on parameters collected during daily physiological tests. Three experiments are described. The first uses all available data with a variety of regression techniques. The second uses a subset of features selected from the available data using the Random Forest method. The third used meta-regression with the selected feature subset. Our experiments demonstrate that feature selection and meta-regression methods improve the accuracy of predictions for match performance of Australian football players based on daily data of medical tests, compared to regression methods alone. Meta-regression methods and feature selection were able to obtain performance prediction outcomes with significant correlation coefficients. The best results were obtained by the additive regression based on isotonic regression for a set of most influential features selected by Random Forest. This model was able to predict athlete performance data with a correlation coefficient of 0.86 (p 0.05). 2013 Published by Elsevier B.V. All rights reserved. AU - Jelinek, Herbert F. AU - Kelarev, Andrei AU - Robinson, Dean J. AU - Stranieri, Andrew AU - Cornforth, David J. DA - 2014 DO - 10.1016/j.asoc.2013.08.010 IS - PART A J2 - Applied Soft Computing Journal KW - data mining decision trees Experiments feature extraction Forecasting Heart physiological models Regression Analysis SportS L1 - internal-pdf://0110993018/Jelinek-2014-Using meta-regression data mining.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 15684946 SP - 81-87 ST - Using meta-regression data mining to improve predictions of performance based on heart rate dynamics for Australian football T2 - Applied Soft Computing Journal TI - Using meta-regression data mining to improve predictions of performance based on heart rate dynamics for Australian football UR - http://dx.doi.org/10.1016/j.asoc.2013.08.010 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1568494613002792/1-s2.0-S1568494613002792-main.pdf?_tid=69c12192-833d-11e6-ba2e-00000aacb35e&acdnat=1474821227_a6115f34fcae5f2d2b53b84b47d8b132 VL - 14 ID - 1857 ER - TY - JOUR AB - Modern medicine is characterized by an "explosion" in clinical research information making practical application of Evidence-Based Medicine (EBM), problematic for many clinicians. We have developed a PICO-(evidence based search strategy focusing on Patient/Population, Intervention, Comparison and Outcome)-based framework for (indexing and retrieving medical evidence and we posit that the use of PICO allows for organizing evidence that is aligned with an MD's decision making model. We describe a study where medical students evaluated our PICO-based approach and results show that students are eager to apply EBM but are hindered by a lack of specialist skills. Students reported that the AU - O'Sullivan, Dympna AU - Wilk, Szymon AU - Michalowski, Wojtek AU - Farion, Ken DA - 2013 J2 - Stud Health Technol Inform KW - *Decision Support Systems, Clinical *Decision Support Techniques *Evidence-Based Medicine *Periodicals as Topic *Review Literature as Topic Data Mining/*methods natural language processing Outcome Assessment (Health Care)/*methods Software Vocabulary, Controlled LA - eng PY - 2013 SN - 0926-9630 0926-9630 SP - 1057 ST - Using PICO to align medical evidence with MDs decision making models T2 - Studies in health technology and informatics TI - Using PICO to align medical evidence with MDs decision making models VL - 192 ID - 335 ER - TY - CONF AB - In this paper we describe a significantly revised version of the CWA on-line learning algorithm. Past methods developed to track drift only use previously observed data to detect changes that occur in the concept, thus they are simply reacting to change. We present a method that not only uses previous knowledge to interpret the data but also to predict future data streams and identify possible changes in the concept. To track the drift, the algorithm also combines the concept change estimate with the prediction trend in order to control the forgetting mechanism used to discard old data. The advantages of the new approach are that it helps the system converge faster to the target concept and it provides the system with a more effective way to interpret the data. We present the algorithm and analyse its performance using the STAGGER concept benchmark problem. AU - Lazarescu, Mihai M. C3 - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics, February 16, 2004 - February 18, 2004 DA - 2004 KW - data acquisition data handling data mining Heuristic methods information retrieval Knowledge acquisition Learning algorithms Learning systems random processes N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Acta Press PY - 2004 SP - 246-251 ST - Using prediction trends to improve concept drift tracking T3 - Proceedings of the IASTED International Conference. Applied Informatics TI - Using prediction trends to improve concept drift tracking ID - 929 ER - TY - CONF AB - Recent advancement in the pattern recognition field has driven many classification algorithms being implemented to tackle protein fold prediction problem. In this paper, a newly introduced method called Rotation Forest for building ensemble of classifiers based on bootstrap sampling and feature extraction is implemented and applied to challenge this problem. The Rotation Forest is a straight forward extension of bagging algorithms which aims to promote diversity within the ensemble through feature extraction by using Principle Component Analysis (PCA). We compare the performance of the employed method with other Meta classifiers that are based on boosting and bagging algorithms, such as: AdaBoost.M1, LogitBoost, Bagging and Random Forest. Experimental results show that the Rotation Forest enhanced the protein folding prediction accuracy better than the other applied Meta classifiers, as well as the previous works found in the literature. 2010 Springer-Verlag Berlin Heidelberg. AU - Dehzangi, Abdollah AU - Phon-Amnuaisuk, Somnuk AU - Manafi, Mahmoud AU - Safa, Soodabeh C3 - 8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2010, April 7, 2010 - April 9, 2010 DA - 2010 DO - 10.1007/978-3-642-12211-8-19 KW - Algorithms bioinformatics Classifiers data mining decision trees feature extraction Forecasting Learning systems Principal Component Analysis Protein folding Rotation N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2010 SN - 03029743 SP - 217-227 ST - Using rotation forest for protein fold prediction problem: An empirical study T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Using rotation forest for protein fold prediction problem: An empirical study UR - http://dx.doi.org/10.1007/978-3-642-12211-8-19 VL - 6023 LNCS ID - 1001 ER - TY - CONF AU - Hossain, Emam AU - Babar, Muhammad Ali AU - Paik, Hye-young C3 - 2009 Fourth IEEE International Conference on Global Software Engineering DA - 2009 DP - Google Scholar L1 - https://ulir.ul.ie/bitstream/handle/10344/2094/2009-Hossain.pdf?sequence=2 PB - Ieee PY - 2009 SP - 175-184 ST - Using scrum in global software development TI - Using scrum in global software development: a systematic literature review UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5196931 http://ieeexplore.ieee.org/document/5196931/ Y2 - 2016/09/24/16:06:07 ID - 2423 ER - TY - JOUR AB - The goal of many web portals is to select, organize and distribute content in order to satisfy its users/customers. This process is usually based on meta-data that represent and describe content. In this paper we describe a methodology and a system to monitor the quality of the meta-data used to describe content in web portals. The methodology is based on the analysis of the meta-data using statistics, visualization and data mining tools. The methodology enables the site's editor to detect and correct problems in the description of contents, thus improving the quality of the web portal and the satisfaction of its users. We also define a general architecture for a system to support the proposed methodology. We have implemented this system and tested it on a Portuguese portal for management executives. The results validate the methodology proposed. AU - Domingues, M. A. AU - Soares, C. AU - Jorge, A. M. DA - 2013/12// DO - 10.1007/s10257-012-0209-5 IS - 4 J2 - Information Systems and e-Business Management KW - data mining data visualisation meta data portals quality management statistical analysis L1 - internal-pdf://3226382154/Domingues-2013-Using statistics, visualization.pdf PY - 2013 SN - 1617-9846 SP - 569-95 ST - Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals T2 - Information Systems and e-Business Management TI - Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals UR - http://dx.doi.org/10.1007/s10257-012-0209-5 VL - 11 ID - 1827 ER - TY - JOUR AB - The large and growing number of published studies, and their increasing rate of publication, makes the task of identifying relevant studies in an unbiased way for inclusion in systematic reviews both complex and time consuming. Text mining has been offered as a potential solution: through automating some of the screening process, reviewer time can be saved. The evidence base around the use of text mining for screening has not yet been pulled together systematically; this systematic review fills that research gap. Focusing mainly on non-technical issues, the review aims to increase awareness of the potential of these technologies and promote further collaborative research between the computer science and systematic review communities. AU - O’Mara-Eves, Alison AU - Thomas, James AU - McNaught, John AU - Miwa, Makoto AU - Ananiadou, Sophia DA - 2015 DO - 10.1186/2046-4053-4-5 DP - BioMed Central J2 - Systematic Reviews KW - Automation Review efficiency Screening Study selection Text mining L1 - https://systematicreviewsjournal.biomedcentral.com/track/pdf/10.1186/2046-4053-4-5?site=systematicreviewsjournal.biomedcentral.com N1 - Pages 1-22 in PDF PY - 2015 SN - 2046-4053 SP - 5 ST - Using text mining for study identification in systematic reviews T2 - Systematic Reviews TI - Using text mining for study identification in systematic reviews: a systematic review of current approaches UR - http://dx.doi.org/10.1186/2046-4053-4-5 https://systematicreviewsjournal.biomedcentral.com/articles/10.1186/2046-4053-4-5 VL - 4 Y2 - 2016/09/18/21:35:18 ID - 446 ER - TY - CONF AU - Felizardo, Katia R. AU - Salleh, Norsaremah AU - Martins, Rafael M. AU - Mendes, Emilia AU - MacDonell, Stephen G. AU - Maldonado, Jose C. C3 - 2011 International Symposium on Empirical Software Engineering and Measurement DA - 2011 DP - Google Scholar L1 - http://aut.researchgateway.ac.nz/bitstream/handle/10292/3470/Felizardo,%20Salleh,%20Martins,%20Mendes,%20MacDonell%20and%20Maldonado%20(2011)%20ESEM.pdf?sequence=2 PB - IEEE PY - 2011 SP - 77-86 ST - Using visual text mining to support the study selection activity in systematic literature reviews TI - Using visual text mining to support the study selection activity in systematic literature reviews UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6092556 http://ieeexplore.ieee.org/document/6092556/ Y2 - 2016/09/24/16:06:07 ID - 2426 ER - TY - CHAP AB - Background Background The consequences of influenza in children and adults are mainly absenteeism from school and work. However, the risk of complications is greatest in children and people over 65 years of age. Objectives Objectives To appraise all comparative studies evaluating the effects of influenza vaccines in healthy children, assess vaccine efficacy (prevention of confirmed influenza) and effectiveness (prevention of influenza-like illness (ILI)) and document adverse events associated with influenza vaccines. Search methods Search methods We searched the Cochrane Central Register of Controlled Trials (CENTRAL) (The Cochrane Library 2011, Issue 3) which includes the Acute Respiratory Infections Group's Specialised Register, OLD MEDLINE (1950 to 1965), MEDLINE (1966 to November 2011), EMBASE (1974 to November 2011), Biological Abstracts (1969 to September 2007), and Science Citation Index (1974 to September 2007). Selection criteria Selection criteria Randomised controlled trials (RCTs), cohort and case-control studies of any influenza vaccine in healthy children under 16 years of age. Data collection and analysis Data collection and analysis Four review authors independently assessed trial quality and extracted data. Main results Main results We included 75 studies with about 300,000 observations. We included 17 RCTs, 19 cohort studies and 11 case-control studies in the analysis of vaccine efficacy and effectiveness. Evidence from RCTs shows that six children under the age of six need to be vaccinated with live attenuated vaccine to prevent one case of influenza (infection and symptoms). We could find no usable data for those aged two years or younger. Inactivated vaccines in children aged two years or younger are not significantly more efficacious than placebo. Twenty-eight children over the age of six need to be vaccinated to prevent one case of influenza (infection and symptoms). Eight need to be vaccinated to prevent one case of influenza-like-illness (ILI). We could find no evidence of effect on secondary cases, lower respiratory tract disease, drug prescriptions, otitis media and its consequences and socioeconomic impact. We found weak single-study evidence of effect on school absenteeism by children and caring parents from work. Variability in study design and presentation of data was such that a meta-analysis of safety outcome data was not feasible. Extensive evidence of reporting bias of safety outcomes from trials of live attenuated influenza vaccines (LAIVs) impeded meaningful analysis. One specific brand of monovalent pandemic vaccine is associated with cataplexy and narcolepsy in children and there is sparse evidence of serious harms (such as febrile convulsions) in specific situations. Authors' conclusions Authors' conclusions Influenza vaccines are efficacious in preventing cases of influenza in children older than two years of age, but little evidence is available for children younger than two years of age. There was a difference between vaccine efficacy and effectiveness, partly due to differing datasets, settings and viral circulation patterns. No safety comparisons could be carried out, emphasising the need for standardisation of methods and presentation of vaccine safety data in future studies. In specific cases, influenza vaccines were associated with serious harms such as narcolepsy and febrile convulsions. It was surprising to find only one study of inactivated vaccine in children under two years, given current recommendations to vaccinate healthy children from six months of age in the USA, Canada, parts of Europe and Australia. If immunisation in children is to be recommended as a public health policy, large-scale studies assessing important outcomes, and directly comparing vaccine types are urgently required. The degree of scrutiny needed to identify all global cases of potential harms is beyond the resources of this review. This review includes trials funded by industry. An earlier systematic review of 274 influenza vaccine studies published up to 2007 found industry-funded studies were published in more prestigious journals and cited more than other studies independently from methodological quality and size. Studies funded from public sources were significantly less likely to report conclusions favourable to the vaccines. The review showed that reliable evidence on influenza vaccines is thin but there is evidence of widespread manipulation of conclusions and spurious notoriety of the studies. The content and conclusions of this review should be interpreted in the light of this finding. AU - Jefferson, Tom AU - Rivetti, Alessandro AU - Di Pietrantonj, Carlo AU - Demicheli, Vittorio AU - Ferroni, Eliana DP - Wiley Online Library LA - en PB - John Wiley & Sons, Ltd PY - 2012 ST - Vaccines for preventing influenza in healthy children T2 - Cochrane Database of Systematic Reviews TI - Vaccines for preventing influenza in healthy children UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD004879.pub4/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD004879.pub4/full Y2 - 2016/09/18/20:15:38 ID - 426 ER - TY - JOUR AB - BACKGROUND: South Africa has one of the largest miner autopsy databases, PATHAUT, dating back to 1925. The diagnoses recorded on this database have never been evaluated for coal miners. The objective was to determine the validity of the autopsy diagnoses for coal workers, specifically bronchitis, silicosis, tuberculosis, coal workers' pneumoconiosis and emphysema, from 1975 to 1997. METHODS: Three pathologists experienced in miner respiratory pathology conducted the review. They were blinded to employment and medical histories as well as to previous pathological diagnoses on PATHAUT and reviewed 28 coal miners with mixed mining exposures, and 31 cases with exclusive coal mine exposure--all selected randomly. The reviewers' independent and consensus diagnoses were compared to PATHAUT. An additional 31 cases with available whole mount sections were reviewed for the diagnosis of emphysema. Kappa statistics were used to determine degrees of agreement among reviewers and between reviewers and PATHAUT. RESULTS: There was good to excellent agreement between the reviewers and PATHAUT for silicosis, tuberculosis, and pneumoconiosis that had progressed beyond the stage of macules, among the mixed and exclusive coal exposure cases. There was good to excellent inter-reviewer agreement for all diseases except bronchitis (agreement=fair to very good). For emphysema, there was good to very good inter-reviewer agreement but fair agreement with PATHAUT. CONCLUSIONS: This, the first systematic review of PATHAUT autopsy diagnoses made on coal workers, showed that PATHAUT can be used with confidence to establish a diagnosis of moderate to severe grades of coal workers' pneumoconiosis. The grade of emphysema recorded on PATHAUT could be used for epidemiological purposes, when whole mount sections have been prepared. AU - Naidoo, Rajen N. AU - Robins, Thomas G. AU - Murray, Jill AU - Green, Francis H. Y. AU - Vallyathan, Val DA - 2005/01//undefined DO - 10.1002/ajim.20112 IS - 1 J2 - Am J Ind Med KW - *Coal Mining Autopsy Databases, Factual Humans Lung Diseases/*epidemiology/mortality Occupational Diseases/*epidemiology Pneumoconiosis/epidemiology/mortality Pulmonary Emphysema/epidemiology South Africa/epidemiology LA - eng PY - 2005 SN - 0271-3586 0271-3586 SP - 83-90 ST - Validation of autopsy data for epidemiologic studies of coal miners T2 - American journal of industrial medicine TI - Validation of autopsy data for epidemiologic studies of coal miners VL - 47 ID - 357 ER - TY - CONF AB - In our view of the market of data, data should be sold at an agreed price, opened for free, or shared under agreed conditions after negotiation in order to increase, rather than decrease, data providers' business opportunities, as a result, decision makers and data analysts can be provided with data needed. In addition, knowledge and skills related to data analysis should be shared among data users in order to make better use of provided data and animate the market. For such a market, we recognize the necessity to design or redesign the market of data where data providers and users understand the value of data through active communication such as discussion on the scenario of data use and negotiation for deal conditions. At the same time, we also recognize that such communication are likely to happen in an ideal market environment. Thus we introduce Innovators' Marketplace on Data Jackets (IMDJ) to create scenarios of data use as well as share data analysis skills. Innovators' Marketplace (IM) is a creativity support process on the metaphor of a marketplace, which features not only design for aiding innovative thinking and communication but also tools for data visualization. It has been applied to cases of decision making in real business. Data Jacket is a meta-data format we introduce to update IM to IMDJ, where scenarios of data use are created and proper data and analysis methods are specified without exposing the full contents of data sets. 2013 IEEE. AU - Liu, Chang AU - Ohsawa, Yukio AU - Suda, Yoshitaka C3 - 2013 13th IEEE International Conference on Data Mining Workshops, ICDMW 2013, December 7, 2013 - December 10, 2013 DA - 2013 DO - 10.1109/ICDMW.2013.120 KW - Commerce Communication data mining Data visualization decision making Innovation Marketing N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2013 SP - 694-701 ST - Valuation of data through use-scenarios in innovators' marketplace on data jackets T3 - Proceedings - IEEE 13th International Conference on Data Mining Workshops, ICDMW 2013 TI - Valuation of data through use-scenarios in innovators' marketplace on data jackets UR - http://dx.doi.org/10.1109/ICDMW.2013.120 ID - 998 ER - TY - JOUR AB - Vast amounts of new information and data are generated everyday through economic, academic and social activities, much with significant potential economic and societal value. Techniques such as text and data mining and analytics are required to exploit this potential. ST - Value and benefits of text mining T2 - Jisc TI - Value and benefits of text mining UR - https://www.jisc.ac.uk/reports/value-and-benefits-of-text-mining Y2 - 2016/09/24/20:46:15 ID - 2491 ER - TY - JOUR AB - Context: Extracellular nucleotide receptors are expressed in pancreatic B-cells. Purinergic signaling via these receptors may regulate pancreatic B-cell function. Objective: We hypothesized that purinergic signaling might influence glucose regulation and sought evidence in human studies of glycemic variation and a mouse model of purinergic signaling dysfunction. Design: In humans, we mined genome-wide meta-analysis data sets to examine purinergic signaling genes for association with glycemic traits and type 2 diabetes. We performed additional testing in two genomic regions (P2RX4/P2RX7 and P2RY1) in a cohort from the Prevalence, Prediction, and Prevention of Diabetes in Botnia (n = 3504), which includes more refined measures of glucose homeostasis. In mice, we generated a congenic model of purinergic signaling dysfunction by crossing the naturally hypomorphic C57BL6 P2rx7 allele onto the 129SvJ background. Results: Variants in five genes were associated with glycemic traits and in three genes with diabetes risk. In the Prevalence, Prediction, and Prevention of Diabetes in Botnia study, the minor allele in the missense functional variant rs1718119 (A348T) in P2RX7 was associated with increased insulin sensitivity and secretion, consistent with its known effect on increased pore function. Both male and female P2x7-C57 mice demonstrated impaired glucose tolerance compared with matched P2x7-129 mice. Insulin tolerance testing showed that P2x7-C57 mice were also less responsive to insulin than P2x7-129 mice. Conclusions: We show association of the purinergic signaling pathway in general and hypofunctioning P2X7 variants in particular with impaired glucose homeostasis in both mice and humans. AU - Todd, Jennifer N. AU - Poon, Wenny AU - Lyssenko, Valeriya AU - Groop, Leif AU - Nichols, Brendan AU - Wilmot, Michael AU - Robson, Simon AU - Enjyoji, Keiichi AU - Herman, Mark A. AU - Hu, Cheng AU - Zhang, Rong AU - Jia, Weiping AU - Ma, Ronald AU - Florez, Jose C. AU - Friedman, David J. DA - 2015/05// DO - 10.1210/jc.2014-4160 IS - 5 PY - 2015 SN - 0021-972X SP - E688-E696 ST - Variation in Glucose Homeostasis Traits Associated With P2RX7 Polymorphisms in Mice and Humans T2 - Journal of Clinical Endocrinology & Metabolism TI - Variation in Glucose Homeostasis Traits Associated With P2RX7 Polymorphisms in Mice and Humans VL - 100 ID - 1972 ER - TY - CONF AB - In model-driven engineering, models constitute pivotal elements of the software to be built. If models are specified well, transformations can be employed for different purposes, e.g., to produce final code. However, it is important that models produced by a transformation from valid input models are valid, too, where validity refers to the metamodel constraints, often written in OCL. Transformation models are a way to describe this Hoare-style notion of partial correctness of model transformations using only metamodels and constraints. In this paper, we provide an automatic translation of declarative, rule-based ATL transformations into such transformation models, providing an intuitive and versatile encoding of ATL into OCL that can be used for the analysis of various properties of transformations. We furthermore show how existing model verifiers (satisfiability checkers) for OCL-annotated metamodels can be applied for the verification of the translated ATL transformations, providing evidence for the effectiveness of our approach in practice. 2012 Springer-Verlag. AU - Buttner, Fabian AU - Egea, Marina AU - Cabot, Jordi AU - Gogolla, Martin C3 - 14th International Conference on Formal Engineering Methods, ICFEM 2012, November 12, 2012 - November 16, 2012 DA - 2012 DO - 10.1007/978-3-642-34281-3_16 KW - Mathematical models Model checking software engineering Verification N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2012 SN - 03029743 SP - 198-213 ST - Verification of ATL transformations using transformation models and model finders T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Verification of ATL transformations using transformation models and model finders UR - http://dx.doi.org/10.1007/978-3-642-34281-3_16 VL - 7635 LNCS ID - 667 ER - TY - CONF AB - There are many data mining systems derived from machine learning, neural network, statistics and other fields. Most of them are dedicated to some particular algorithms or applications. Unfortunately, their architectures are still too naive to provide satisfactory background for advanced meta-learning problems. In order to efficiently perform sophisticated meta-level analysis, we need a very versatile, easily expandable system (in many independent aspects), which uniformly deals with different kinds of models and models with very complex structures of models (not only committees but also much more hierarchic models). Meta-level techniques must provide mechanisms facilitating optimization of computation time and memory consumption. This article presents requirements and their motivations for an advanced data mining system, efficient not only in model construction for given data, but also in meta-learning. Some particular solutions to significant problems are presented. The newly proposed advanced meta-learning architecture has been implemented in our new data analysis system. 2007 IEEE. AU - Grabczewski, Krzysztof AU - Jankowski, Norbert C3 - 1st IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, April 1, 2007 - April 5, 2007 DA - 2007 DO - 10.1109/CIDM.2007.368852 KW - artificial intelligence data mining Data reduction knowledge representation Learning algorithms Learning systems Mathematical models Optimization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2007 SP - 51-58 ST - Versatile and efficient meta-learning architecture: Knowledge representation and management in computational intelligence T3 - Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007 TI - Versatile and efficient meta-learning architecture: Knowledge representation and management in computational intelligence UR - http://dx.doi.org/10.1109/CIDM.2007.368852 ID - 1679 ER - TY - JOUR AB - OBJECTIVE: Clinical practice guidelines (CPGs) are means to provide evidence-based medical knowledge. In order to make up-to-date "best" scientific evidence available these documents need to be updated on an ongoing basis. An effective method to accomplish this aim is offered by the so-called "living guidelines": Living guidelines are documents presenting up-to-date and state-of-the-art knowledge to practitioners. To have guidelines implemented by computer-support they have to be formalized in a computer-interpretable form in a first step. Due to the complexity of such formats the formalization process is burdensome and time-consuming. Automating parts of the modeling process and, consequently, modeling updates of these guideline documents are demanded. METHODS AND MATERIAL: The LASSIE methodology supports this task by formalizing guidelines in several steps from the textual form to the guideline representation language Asbru using a document-centric approach. LASSIE uses information extraction techniques to semi-automatically accomplish these steps. We apply LASSIE to support the implementation of living guidelines. RESULTS: Based on a living guideline published by the Scottish Intercollegiate Guidelines Network (SIGN) we show that adaptations of previously formalized guidelines can be accomplished easily and fast. Thereby, the different versions of guideline documents are compared and updates are identified. Due to the traceable formalization method of linking text parts and their corresponding formal models, we are able to inherit unchanged models from previously formalized versions. Thus, we only need to formalize updated text parts using the semi-automatic formalization method LASSIE. CONCLUSION: We propose a simple, time-saving, but effective method called LASSIE to formalize new guideline versions of previously formalized CPGs. Furthermore, models that have been added or modified by knowledge engineers in previous versions can also be transferred easily. This will result in a faster implementation of new guideline versions also known as living guidelines to provide up-to-date knowledge necessary for accomplishing the daily work of health care professionals. AU - Kaiser, Katharina AU - Miksch, Silvia DA - 2009/05//undefined DO - 10.1016/j.artmed.2008.08.009 IS - 1 J2 - Artif Intell Med KW - *Artificial Intelligence *Decision Support Systems, Clinical *Models, Theoretical *Practice Guidelines as Topic Asthma/*therapy automation Evidence-Based Medicine Guideline Adherence Humans Programming Languages Systems Integration User-Computer Interface L1 - internal-pdf://0263043320/Kaiser-2009-Versioning computer-interpretable.pdf LA - eng PY - 2009 SN - 1873-2860 0933-3657 SP - 55-66 ST - Versioning computer-interpretable guidelines: semi-automatic modeling of 'Living Guidelines' using an information extraction method T2 - Artificial intelligence in medicine TI - Versioning computer-interpretable guidelines: semi-automatic modeling of 'Living Guidelines' using an information extraction method UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859225/pdf/ukmss-29303.pdf VL - 46 ID - 240 ER - TY - JOUR AB - Herbivore populations are commonly restricted by resource limitation, by predation or a combination of the two. Food supplement experiments are suitable for investigating the extent of food limitation at any given time. The main part of this study was performed in an extremely acidic lake (pH 2.7) where the food web consists of only a few components and potential food sources for herbivores are restricted to two flagellates. Life table experiments proved that Chlamydomonas was a suitable food source whereas Ochromonas was an unsuitable food source. The two flagellates and the two rotifers exhibit a pronounced vertical distribution pattern. In this study, a series of food supplement experiments were performed in order to: (1) quantify and compare potential resource limitation of two primary consumers (Cephalodella hoodi and Elosa worallii, Rotatoria) over time, (2) compare their response at different temperatures, (3) evaluate the effect of having an unsuitable food source alongside a valuable one, (4) estimate the effect of predation on rotifers by Heliozoa, and (5) compare the results with those from other acidic lakes. Additionally, the spatio-temporal population dynamics of both species were observed. The field data confirmed a vertical separation of the two species with E. worallii dominating in the upper water layers, and C. hoodi in the deeper, cooler water layers. The results from the food supplement experiments in which Chlamydomonas served as the supplemented suitable food source showed that the two rotifers were food limited in the epilimnion throughout the season to different extents, with Cephalodella being more severely food limited than Elosa. The experiments at different temperatures provided evidence that Elosa had a higher optimum temperature for growth than Cephalodella. When the unsuitable food algae Ochromonas was added alongside the suitable food source Chlamydomonas, C. hoodi was unaffected but E. worallii was negatively affected. Predation of Heliozoa on rotifers was observed but the total effect on the rotifer dynamics is probably low. The comparison with other lakes showed that resource limitation also occurred in one other lake, although to a lesser extent. Overall, the vertical separation of the two rotifers could be explained by both their differential extent of resource limitation and differential response to temperature. AU - Weithoff, G. DA - 2004/05// DO - 10.1007/s00442-004-1545-z IS - 4 PY - 2004 SN - 0029-8549 SP - 594-603 ST - Vertical niche separation of two consumers (Rotatoria) in an extreme habitat T2 - Oecologia TI - Vertical niche separation of two consumers (Rotatoria) in an extreme habitat VL - 139 ID - 2119 ER - TY - JOUR AN - 109916169. Language: English. Entry Date: 20150928. Revision Date: 20160721. Publication Type: Article. Journal Subset: Core Nursing AU - Price, Lauren E. AU - Shea, Kimberly AU - Gephart, Sheila DA - 2015/10// DB - c8h DO - 10.1097/NAQ.0000000000000118 DP - EBSCOhost IS - 4 J2 - Nursing Administration Quarterly KW - Data Analytics data mining Hospitals, Veterans Human Learning Theory Medline Nursing as a Profession PubMed Research, Nursing Systematic review N1 - Nursing; Peer Reviewed; USA. Special Interest: Evidence-Based Practice; Military/Uniformed Services; Nursing Administration. NLM UID: 7703976. PY - 2015 SN - 0363-9568 SP - 311-318 ST - The Veterans Affairs's Corporate Data Warehouse T2 - Nursing Administration Quarterly TI - The Veterans Affairs's Corporate Data Warehouse UR - http://login.ezproxy.lib.vt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=c8h&AN=109916169&scope=site VL - 39 ID - 394 ER - TY - JOUR AB - BACKGROUND: Achilles tendinopathy (AT) is a common pathology and the aetiology is unknown. For valid and reliable assessment The Victorian Institute of Sports Assessment has designed a self-administered Achilles questionnaire, the VISA-A. The aim of the present study was to evaluate VISA-A as an outcome measure in patients with AT. METHODS: A systematic search of the literature was conducted using MEDLINE, EMBASE, CINAHL, PEDro, Web of Science, and Cochrane Controlled trials to identify trials using VISA-A for patients with AT. This was followed by data mining and analysis of the obtained data. RESULTS: Twenty-six clinical trials containing 1336 individuals were included. Overall mean VISA-A scores ranged from 24 (severe AT) to 100 (healthy). Mean VISA-A scores in patients with AT ranged from 24 to 96.6. Healthy subjects scored a minimum of 96. Only two groups of participants from two different studies had a post-VISA-A score as high as healthy individuals, indicating full recovery of the AT. CONCLUSIONS: A VISA-A score lower than 24 is rarely attained in AT. Only few patients with AT reach an equivalent VISA-A score compared to uninjured healthy subjects following treatment. The VISA-A is a reliable tool when assessing AT patients, providing a good assessment of the actual condition from very poor, (score around 24) to excellent (a score of 90), which based on this systematic review and previous studies could be considered full recovery from AT. AU - Iversen, Jonas Vestergard AU - Bartels, Else Marie AU - Langberg, Henning DA - 2012/02//undefined IS - 1 J2 - Int J Sports Phys Ther KW - Achilles tendinopathy outcome measure reliability VISA-A. L1 - internal-pdf://1316505735/Iversen-2012-The victorian institute of sports.pdf LA - eng PY - 2012 SN - 2159-2896 2159-2896 SP - 76-84 ST - The victorian institute of sports assessment - achilles questionnaire (visa-a) - a reliable tool for measuring achilles tendinopathy T2 - International journal of sports physical therapy TI - The victorian institute of sports assessment - achilles questionnaire (visa-a) - a reliable tool for measuring achilles tendinopathy UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3273883/pdf/ijspt-07-076.pdf VL - 7 ID - 353 ER - TY - JOUR AU - Truong, Ba Tu AU - Venkatesh, Svetha DA - 2007 DP - Google Scholar IS - 1 L1 - http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.703.693&rep=rep1&type=pdf PY - 2007 SP - 3 ST - Video abstraction T2 - ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) TI - Video abstraction: A systematic review and classification UR - http://dl.acm.org/citation.cfm?id=1198305 VL - 3 Y2 - 2016/09/24/15:41:08 ID - 2386 ER - TY - CONF AB - In this paper, we propose a new approach that makes the viewpoint notion explicit in a multiview Knowledge Discovery in Databases (KDD) process. We define a viewpoint in KDD as an analyst's perception of a KDD process, which refers to his own knowledge. Our purpose is to facilitate both the reusability and adaptability of a KDD process, and to reduce its complexity whilst maintaining the trace of the past analysis in terms of viewpoints. We also propose a viewpoint-based conceptual model for KDD process that integrates both the analyzed and the analyst domain knowledge. AU - Behja, H. AU - Zemmouri, E. M. AU - Marzak, A. C3 - International Conference on Machine and Web Intelligence (ICMWI 2010), 3-5 Oct. 2010 DA - 2010 DO - 10.1109/ICMWI.2010.5647881 KW - data mining meta data ontologies (artificial intelligence) PB - IEEE PY - 2010 SP - 320-3 ST - Viewpoint-based Annotations for Knowledge Discovery in Databases T3 - Proceedings International Conference on Machine and Web Intelligence (ICMWI 2010) TI - Viewpoint-based Annotations for Knowledge Discovery in Databases UR - http://dx.doi.org/10.1109/ICMWI.2010.5647881 ID - 1171 ER - TY - JOUR AB - 1. Violence toward healthcare workers, particularly psychiatric nursing staff, has only recently been identified as a workplace health hazard. An occupational health perspective underscores the need for proactive monitoring and heightens incentives for prevention through the introduction of external regulation. 2. Nursing staff injury rates from violence alone are higher than injuries seen in industries traditionally considered high risk such as mining, lumber, and heavy construction. Nursing employment categories at particular risk include psychiatric technicians, male staff, and on-unit supervisory personnel. 3. It is exceedingly difficult to accurately measure the extent of violence in a given facility and injury rates are known to underestimate the actual number of violent events that occur. Nursing staff, labor organizations, and managers must work toward more reliable monitoring and risk prevention programs. AU - Love, C. C. AU - Hunter, M. E. DA - 1996/05//undefined IS - 5 J2 - J Psychosoc Nurs Ment Health Serv KW - *Violence Female Hospitals, Psychiatric/*statistics & numerical data Hospitals, Public/*statistics & numerical data Humans Male Nursing Staff, Hospital/*statistics & numerical data Occupational Diseases/*epidemiology Psychiatric Aides/statistics & numerical data Psychiatric Nursing/*statistics & numerical data United States/epidemiology Wounds and Injuries/*epidemiology LA - eng PY - 1996 SN - 0279-3695 0279-3695 SP - 30-34 ST - Violence in public sector psychiatric hospitals. Benchmarking nursing staff injury rates T2 - Journal of psychosocial nursing and mental health services TI - Violence in public sector psychiatric hospitals. Benchmarking nursing staff injury rates VL - 34 ID - 305 ER - TY - JOUR AB - VRC monitoring relies primarily on metadata captured from target sites and the intent is to predict risks to avoid loss, the option to capture full pages for more-active monitoring means that the last known version of pages or sites are cached, providing a safety net for failed or failing resources. The VRC toolbox concept allows for all of these eventualities. It also defines a systematic mechanism for tool testing and selection. Site management team has developed an initial list of site management indicators for use by Cornell faculty in creating their own sites. We continue to develop a data model for tracking risk-significant information and populate a knowledge base of tools and processes that are characterized as a risk analysis engine. We continue data mining at the page and site levels using crawl data to identify potential risks and develop risk response pairs appropriate at various organizational stages. AU - McGovern, N. Y. AU - Kenney, A. R. AU - Entlich, R. AU - Kehoe, W. R. AU - Buckley, E. DA - 2004/04// DO - 10.1045/april2004-megovern IS - 4 J2 - D-Lib Magazine KW - Computer crime Digital Libraries information retrieval systems Internet meta data Risk management trademarks Virtual reality Web sites PY - 2004 SN - 1082-9873 ST - Virtual remote control: building a preservation risk management toolbox for Web resources T2 - D-Lib Magazine TI - Virtual remote control: building a preservation risk management toolbox for Web resources UR - http://www.dlib.org/dlib/april04/mcgovern/04mcgovern.html http://dx.doi.org/10.1045/april2004-megovern VL - 10 ID - 1357 ER - TY - CONF AB - The animal-to-researcher workflow in many of today's small animal imaging center is burdened with proprietary data limitations, inaccessible back-up methods, and imaging results that are not easily viewable across campus. Such challenges decrease the amount of scans performed per day at the center and requires researchers to wait longer for their images and quantified results. Furthermore, data mining at the small animal imaging center is often limited to researcher names and date-labelled archiving hard-drives. To gain efficiency and reliable access to small animal imaging data, such a center needs to move towards an integrated workflow with file format normalization services, metadata databases, expandable archiving infrastructure, and comprehensive user interfaces for query / retrieval tools - achieving all in a cost-effective manner. This poster presentation demonstrates how grid technology can support such a molecular imaging and small animal imaging research community to bridge the needs between imaging modalities and clinical researchers. Existing projects have utilized the Data Grid in PACS tier 2 backup solutions, where fault-tolerance is a high priority, as well as imagingbased clinical trials where data security and auditing are primary concerns. Issues to be addressed include, but are not limited to, novel database designs, file format standards, virtual archiving and distribution workflows, and potential grid computing for 3-D reconstructions, co-registration, and post-processing analysis. AU - Lee, J. AU - Dagliyan, G. AU - Liu, B. C3 - Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 11-12 Feb. 2009 DA - 2009 DO - 10.1117/12.816548 KW - data mining image reconstruction image registration information retrieval systems medical image processing meta data PACS L1 - internal-pdf://0201407458/Lee-2009-A virtualized infrastructure for mole.pdf PB - SPIE - The International Society for Optical Engineering PY - 2009 SN - 0277-786X SP - 726417-(8 pp.) ST - A virtualized infrastructure for molecular imaging research using a data grid model T2 - Proceedings of the SPIE - The International Society for Optical Engineering T3 - Proc. SPIE - Int. Soc. Opt. Eng. (USA) TI - A virtualized infrastructure for molecular imaging research using a data grid model UR - http://dx.doi.org/10.1117/12.816548 http://proceedings.spiedigitallibrary.org.ezproxy.lib.vt.edu/data/Conferences/SPIEP/18387/726417_1.pdf VL - 7264 ID - 1309 ER - TY - CONF AB - Context: In order to preserve the value of Systematic Reviews (SRs), they should be frequently updated considering new evidence that has been produced since the completion of the previous version of the reviews. However, the update of an SR is a time consuming, manual task. Thus, many SRs have not been updated as they should be and, therefore, they are currently outdated. Objective: The main contribution of this paper is to support the update of SRs. Method: We propose USR-VTM, an approach based on Visual Text Mining (VTM) techniques, to support selection of new evidence in the form of primary studies. We then present a tool, named Revis, which supports our approach. Finally, we evaluate our approach through a comparison of outcomes achieved using USR-VTM versus the traditional (manual) approach. Results: Our results show that USR-VTM increases the number of studies correctly included compared to the traditional approach. Conclusions: USR-VTM effectively supports the update of SRs. Copyright 2014 ACM. AU - Felizardo, Katia Romero AU - Nakagawa, Elisa Yumi AU - MacDonell, Stephen G. AU - Maldonado, Jose Carlos C3 - 18th International Conference on Evaluation and Assessment in Software Engineering, EASE 2014, May 12, 2014 - May 14, 2014 DA - 2014 DO - 10.1145/2601248.2601252 KW - data mining software engineering L1 - internal-pdf://1159126505/a4-felizardo.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2014 SP - Brunel-University ST - A visual analysis approach to update systematic reviews T3 - ACM International Conference Proceeding Series TI - A visual analysis approach to update systematic reviews UR - http://dx.doi.org/10.1145/2601248.2601252 http://dl.acm.org/citation.cfm?doid=2601248.2601252 ID - 1540 ER - TY - JOUR AB - Context: Systematic Literature Reviews (SLRs) are an important component to identify and aggregate research evidence from different empirical studies. Despite its relevance, most of the process is conducted manually, implying additional effort when the Selection Review task is performed and leading to reading all studies under analysis more than once. Objective: We propose an approach based on Visual Text Mining (VTM) techniques to assist the Selection Review task in SLR. It is implemented into a VTM tool (Revis), which is freely available for use. Method: We have selected and implemented appropriate visualization techniques into our approach and validated and demonstrated its usefulness in performing real SLRs. Results: The results have shown that employment of VTM techniques can successfully assist in the Selection Review task, speeding up the entire SLR process in comparison to the conventional approach. Conclusion: VTM techniques are valuable tools to be used in the context of selecting studies in the SLR process, prone to speed up some stages of SLRs. 2012 Elsevier B.V. All rights reserved. AU - Felizardo, Katia R. AU - Andery, Gabriel F. AU - Paulovich, Fernando V. AU - Minghim, Rosane AU - Maldonado, Jose C. DA - 2012 DO - 10.1016/j.infsof.2012.04.003 IS - 10 J2 - Information and Software Technology KW - Information systems software engineering L1 - internal-pdf://1119399015/Felizardo-2012-A visual analysis approach to v.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2012 SN - 09505849 SP - 1079-1091 ST - A visual analysis approach to validate the selection review of primary studies in systematic reviews T2 - Information and Software Technology TI - A visual analysis approach to validate the selection review of primary studies in systematic reviews UR - http://dx.doi.org/10.1016/j.infsof.2012.04.003 http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0950584912000742/1-s2.0-S0950584912000742-main.pdf?_tid=934d5512-8333-11e6-b584-00000aacb362&acdnat=1474817002_ee53571ece3b3276144ae465be9aa5bb VL - 54 ID - 1278 ER - TY - CONF AB - One of the activities associated with the systematic literature review (SLR) process is the selection of primary studies. When the researcher faces large volumes of primary studies to be analysed, the process used to select studies can be arduous, specially when the selection review activity is performed and all studies under analysis are read more than once. An experiment was conducted as a pilot test to compare the performance and accuracy of graduate students in conducting the selection review activity manually and using visual text mining (VTM) techniques. This paper describes a replication study that used the same experimental design and materials of the original experiment. The results have confirmed the outcomes of the original experiment, i.e., VTM is promising and can improve the performance of the selection review of primary studies. There is a positive relationship between the use of VTM techniques and the time spent to conduct the selection review activity. Copyright 2013 by Knowledge Systems Institute Graduate School. AU - Felizardo, Katia Romero AU - Barbosa, Ellen Francine AU - Maldonado, Jose Carlos C3 - 25th International Conference on Software Engineering and Knowledge Engineering, SEKE 2013, June 27, 2013 - June 29, 2013 DA - 2013 KW - data mining Design of experiments knowledge engineering software engineering Students N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Knowledge Systems Institute Graduate School PY - 2013 SN - 23259000 SP - 141-146 ST - A visual approach to validate the selection review of primary studies in systematic reviews: A replication study T3 - Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE TI - A visual approach to validate the selection review of primary studies in systematic reviews: A replication study VL - 2013-January ID - 1482 ER - TY - JOUR AB - BACKGROUND: Although the use of microarray technology has seen exponential growth, analysis of microarray data remains a challenge to many investigators. One difficulty lies in the interpretation of a list of differentially expressed genes, or in how to plan new experiments given that knowledge. Clustering methods can be used to identify groups of genes with similar expression patterns, and genes with unknown function can be provisionally annotated based on the concept of "guilt by association", where function is tentatively inferred from the known functions of genes with similar expression patterns. These methods frequently suffer from two limitations: (1) visualization usually only gives access to group membership, rather than specific information about nearest neighbors, and (2) the resolution or quality of the relationships are not easily inferred. METHODOLOGY/PRINCIPAL FINDINGS: We have addressed these issues by improving the precision of similarity detection over that of a single experiment and by creating a tool to visualize tractable association networks: we (1) performed meta-analysis computation of correlation coefficients for all gene pairs in a heterogeneous data set collected from 2,145 publicly available micorarray samples in mouse, (2) filtered the resulting distribution of over 130 million correlation coefficients to build new, more tractable distributions from the strongest correlations, and (3) designed and implemented a new Web based tool (StarNet, http://vanburenlab.medicine.tamhsc.edu/starnet.html) for visualization of sub-networks of the correlation coefficients built according to user specified parameters. CONCLUSIONS/SIGNIFICANCE: Correlations were calculated across a heterogeneous collection of publicly available microarray data. Users can access this analysis using a new freely available Web-based application for visualizing tractable correlation networks that are flexibly specified by the user. This new resource enables rapid hypothesis development for transcription regulatory relationships. AU - Jupiter, Daniel C. AU - VanBuren, Vincent DA - 2008 DO - 10.1371/journal.pone.0001717 IS - 3 J2 - PLoS One KW - *Databases, Genetic *Gene Expression Profiling *Gene Expression Regulation, Developmental *Transcription, Genetic Animals Computational Biology Computer Simulation Heart/*physiology Mice Oligonucleotide Array Sequence Analysis Software Transcription Factors/*metabolism L1 - internal-pdf://0212295100/Jupiter-2008-A visual data mining tool that fa.pdf LA - eng PY - 2008 SN - 1932-6203 1932-6203 SP - e1717 ST - A visual data mining tool that facilitates reconstruction of transcription regulatory networks T2 - PloS one TI - A visual data mining tool that facilitates reconstruction of transcription regulatory networks UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2248622/pdf/pone.0001717.pdf VL - 3 ID - 329 ER - TY - CONF AB - The paper deals with a solution for visual surveillance metadata management. Data coming from many cameras is annotated using computer vision units to produce metadata representing moving objects in their states. It is assumed that the data is often uncertain, noisy and some states are missing. The solution consists of the following three layers: (a) data cleaning layer - improves quality of the data by smoothing it and by filling in missing states in short sequences referred to as tracks that represent a composite state of a moving object in a spatiotemporal subspace followed by one camera, (b) Data integration layer - assigns a global identity to tracks that represent the same object, (c) Persistence layer - manages the metadata in a database so that it can be used for online identification and offline querying, analyzing and mining. A Kalman filter technique is used to solve (a) and a classification based on the moving object's state and its visual properties is used in (b). An object model for layer (c) is presented too. AU - Chmelar, P. AU - Zendulka, J. C3 - 2007 18th International Conference on Database and Expert Systems Applications, 3-7 Sept. 2007 DA - 2007 KW - Computer vision image classification image motion analysis Kalman filters meta data optical tracking Surveillance visual databases PB - IEEE PY - 2007 SP - 79-83 ST - Visual surveillance metadata management T3 - 2007 18th International Conference on Database and Expert Systems Applications TI - Visual surveillance metadata management ID - 753 ER - TY - CONF AB - The software engineering research community has been adopting systematic reviews as an unbiased and fair way to assess a research topic. Despite encouraging early results, a systematic review process can be time consuming and hard to conduct. Thus, tools that help on its planning or execution are needed. This article suggests the use of Visual Text Mining (VTM) to aid systematic reviews. A feasibility study was conducted comparing the proposed approach with a manual process. We observed that VTM can contribute to Systematic Review and we propose a new strategy called VTM-Based Systematic Review. 2007 IEEE. AU - Malheiros, Viviane AU - Hohn, Erika AU - Pinho, Roberto AU - Mendonca, Manoel AU - Maldonado, Jose Carlos C3 - 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007, September 20, 2007 - September 21, 2007 DA - 2007 DO - 10.1109/ESEM.2007.13 KW - data mining decision making Engineering research mining Planning Resource allocation software engineering Technology N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2007 SP - 245-254 ST - A visual text mining approach for systematic reviews T3 - Proceedings - 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007 TI - A visual text mining approach for systematic reviews ID - 1764 ER - TY - JOUR AB - A few neuroinformatics databases now exist that record results from neuroimaging studies in the form of brain coordinates in stereotaxic space. The Brede Toolbox was originally developed to extract, analyze and visualize data from one of them - the BrainMap database. Since then the Brede Toolbox has expanded and now includes its own database with coordinates along with ontologies for brain regions and functions: The Brede Database. With Brede Toolbox and Database combined, we setup automated workflows for extraction of data, mass meta-analytic data mining and visualizations. Most of the Web presence of the Brede Database is established by a single script executing a workflow involving these steps together with a final generation of Web pages with embedded visualizations and links to interactive three-dimensional models in the Virtual Reality Modeling Language. Apart from the Brede tools I briefly review alternate visualization tools and methods for Internet-based visualization and information visualization as well as portals for visualization tools. AU - Nielsen, Finn Arup DA - 2009 DO - 10.3389/neuro.11.026.2009 J2 - Front Neuroinform KW - Brede database Meta-analysis neuroimaging Software text mining visualization Web service LA - eng PY - 2009 SN - 1662-5196 1662-5196 SP - 26 ST - Visualizing data mining results with the brede tools T2 - Frontiers in neuroinformatics TI - Visualizing data mining results with the brede tools VL - 3 ID - 311 ER - TY - JOUR AB - Milestone or deadline driven production management is predominant in most manufacturing companies. Problems and other disturbing occurrences tend to see their first daylight during phases where plans are implemented into reality, for example, when production commences, prototypes enter manufacturing and deliveries are expected. Conventional control routines fail to depict the true progress and procedures of the company on an on-line basis, which means that instead of being proactive they serve as means to react to already existing problems. This paper studies the application of advanced visualization techniques to the already existing information embedded in a company's information infrastructure, and how it can help management to anticipate probable near future pitfalls. By studying those daily operations of a company which share a document relationship with the true manufacturing process, that is, the meta-manufacturing processes, a completely new perspective on the company's value-adding activities is drawn. By mining the existing data reservoirs of a company the traditionally difficult management processes, such as product development, vendor integration, production planning, can be analyzed and the problems identified in a novel way to react in advance. The paper displays several empirical examples from bulk to one-of-a-kind production where the method has been successfully implemented. AU - Hameri, A. P. AU - Nihtila, J. DA - 1998 DO - 10.1080/095372898234497 IS - 1 J2 - Production Planning and Control KW - Industrial plants Information analysis Management Manufacture visualization N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 1998 SN - 09537287 SP - 28-35 ST - Visualizing the factory through meta-manufacturing processes T2 - Production Planning and Control TI - Visualizing the factory through meta-manufacturing processes UR - http://dx.doi.org/10.1080/095372898234497 VL - 9 ID - 1392 ER - TY - CONF AB - This study proposes a novel Visual Data Mining technique based on Self-Organizing Maps (SOM) to visualize the population points of metaheuristic algorithms while they execute their search process. The SOM is used to divide the search space of the optimization function into bi-dimensional regions, allowing one to perform a visual analysis by mapping the points into the 2-dimensional space, in order to compare various executions of the functions performed with different parameter configurations. The use of these maps as a Visual Data Mining tool aims to visually process the resulting data and identify behavioral patterns of the meta-heuristic instances. 2014 IEEE. AU - Lotif, Marcelo C3 - 2014 IEEE Congress on Evolutionary Computation, CEC 2014, July 6, 2014 - July 11, 2014 DA - 2014 DO - 10.1109/CEC.2014.6900265 KW - Conformal mapping data mining Data visualization Optimization Population statistics Self organizing maps N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2014 SP - 313-319 ST - Visualizing the population of meta-heuristics during the optimization process using self-organizing maps T3 - Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014 TI - Visualizing the population of meta-heuristics during the optimization process using self-organizing maps UR - http://dx.doi.org/10.1109/CEC.2014.6900265 ID - 1729 ER - TY - JOUR AB - This study proposes a novel Visual Data Mining technique based on Self-Organizing Maps (SOM) to visualize the population points of metaheuristic algorithms while they execute their search process. The SOM is used to divide the search space of the optimization function into bi-dimensional regions, allowing one to perform a visual analysis by mapping the points into the 2-dimensional space, in order to compare various executions of the functions performed with different parameter configurations. The use of these maps as a Visual Data Mining tool aims to visually process the resulting data and identify behavioral patterns of the meta-heuristic instances. AU - Lotif, Marcelo DA - 2014 PY - 2014 SP - 313-319 ST - Visualizing the Population of Meta-heuristics During the Optimization Process Using Self-Organizing Maps T2 - 2014 Ieee Congress on Evolutionary Computation (cec) TI - Visualizing the Population of Meta-heuristics During the Optimization Process Using Self-Organizing Maps ID - 2066 ER - TY - JOUR AB - The current analysis reexamines the relationship between supplemental vitamin E and all-cause mortality. All randomized, controlled trials testing the treatment effect of vitamin E supplementation in adults for at least one year were sought. MEDLINE, the Cochrane Library, and Biological Abstracts databases were searched using the terms "vitamin E," "alpha-tocopherol," "antioxidants," "clinical trial," and "controlled trial" for studies published through April 2010; results were limited to English, German, or Spanish language articles. Studies were also obtained through reference mining. All randomized controlled trials using vitamin E, with a supplementation period of at least one year, to prevent or treat disease in adults were identified and abstracted independently by two raters. Mortality data from trials with a supplementation period of at least one year were pooled. The selected trials (n = 57) were published between 1988 and 2009. Sample sizes range from 28 to 39,876 (median = 423), yielding 246,371 subjects and 29,295 all-cause deaths. Duration of supplementation for the 57 trials range from one to 10.1 years (median = 2.6 years). A random effects meta-analysis produce an overall risk ratio of 1.00 (95% confidence interval: 0.98, 1.02); additional analyses suggest no relationship between dose and risk of mortality. Based on the present meta-analysis, supplementation with vitamin E appears to have no effect on all-cause mortality at doses up to 5,500 IU/d. AU - Abner, Erin L. AU - Schmitt, Frederick A. AU - Mendiondo, Marta S. AU - Marcum, Jennifer L. AU - Kryscio, Richard J. DA - 2011/07//undefined IS - 2 J2 - Curr Aging Sci KW - *Dietary Supplements/adverse effects Antioxidants/adverse effects/*therapeutic use Cause of Death Humans Longevity Risk Assessment Risk Factors Time Factors Treatment Outcome Vitamin E/adverse effects/*therapeutic use L1 - internal-pdf://2426206510/Abner-2011-Vitamin E and all-cause mortality_.pdf LA - eng PY - 2011 SN - 1874-6128 1874-6098 SP - 158-170 ST - Vitamin E and all-cause mortality: a meta-analysis T2 - Current aging science TI - Vitamin E and all-cause mortality: a meta-analysis UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4030744/pdf/nihms573332.pdf VL - 4 ID - 85 ER - TY - JOUR AB - The goal of the current clinical study, conducted in the United States (US), was to evaluate the efficacy and tolerability of vortioxetine 5 mg vs placebo in adults with a primary diagnosis of generalized anxiety disorder (GAD; HAM-A total score >= 20 and MADRS score <= 16). Subjects were randomized (1:1) to receive vortioxetine 5 mg (n=152) or placebo (n=152) for 8 weeks. Efficacy was assessed using change from baseline in HAM-A total scores after 8 weeks of treatment compared with placebo, using mixed-model repeated measures (MMRM) analyses. Adverse events (AEs) were assessed throughout the study. A total of 304 subjects were randomized (mean age, 41.2 years). After 8 weeks of treatment, there was no statistically significant difference in the reduction in HAM-A total score from baseline between the Vortioxetine (n=145) and placebo (n=145) groups. There were no statistically significant differences in any key secondary efficacy outcome between vortioxetine and placebo. Factors potentially contributing to the differences between the results of this study and those of one of identical design conducted outside the US are discussed. The most common treatment-emergent AEs were nausea, headache, dizziness, and dry mouth. Nausea was more frequently reported in the vortioxetine group (25% vs 4.6% for the placebo group). Most AEs were mild to moderate in severity. In conclusion, in this trial, vortioxetine did not improve symptoms of GAD (compared with placebo) over 8 weeks of treatment. Vortioxetine was well tolerated in this study. (C) 2012 Elsevier B.V. and ECNR All rights reserved. AU - Rothschild, Anthony J. AU - Mahableshwarkar, Atul R. AU - Jacobsen, Paula AU - Yan, Mingjin AU - Sheehan, David V. DA - 2012/12// DO - 10.1016/j.euroneuro.2012.07.011 IS - 12 PY - 2012 SN - 0924-977X SP - 858-866 ST - Vortioxetine (Lu AA21004) 5 mg in generalized anxiety disorder: Results of an 8-week randomized, double-blind, placebo-controlled clinical trial in the United States T2 - European Neuropsychopharmacology TI - Vortioxetine (Lu AA21004) 5 mg in generalized anxiety disorder: Results of an 8-week randomized, double-blind, placebo-controlled clinical trial in the United States VL - 22 ID - 2147 ER - TY - CONF AB - VTApi is an open source application programming interface designed to fulfill the needs of specific distributed computer vision data and metadata management and analytic systems and to unify and accelerate their development. It is oriented towards processing and efficient management of image and video data and related metadata for their retrieval, analysis and mining with the special emphasis on their spatio-temporal nature in real-world conditions. VTApi is a free extensible framework based on progressive and scalable open source software as OpenCV for high- performance computer vision and data mining, PostgreSQL for efficient data management, indexing and retrieval extended by similarity search and integrated with geography/spatio-temporal data manipulation. AU - Chmelar, P. AU - Pesek, M. AU - Volf, T. AU - Zendulka, J. AU - Froml, V. C3 - Advanced Concepts for Intelligent Vision Systems. 15th International Conference, ACIVS 2013, 28-31 Oct. 2013 DA - 2013 DO - 10.1007/978-3-319-02895-8_34 KW - application program interfaces Computer vision data analysis data mining distributed processing meta data multimedia computing public domain software video retrieval PB - Springer International Publishing PY - 2013 SP - 378-88 ST - VTApi: An Efficient Framework for Computer Vision Data Management and Analytics T3 - Advanced Concepts for Intelligent Vision Systems. 15th International Conference, ACIVS 2013. Proceedings: LNCS 8192 TI - VTApi: An Efficient Framework for Computer Vision Data Management and Analytics UR - http://dx.doi.org/10.1007/978-3-319-02895-8_34 ID - 1297 ER - TY - JOUR AB - Translational research in cancer genomics assigns a fundamental role to bioinformatics in support of candidate gene prioritization with regard to both biomarker discovery and target identification for drug development. Efforts in both such directions rely on the existence and constant update of large repositories of gene expression data and omics records obtained from a variety of experiments. Users who interactively interrogate such repositories may have problems in retrieving sample fields that present limited associated information, due for instance to incomplete entries or sometimes unusable files. Cancer-specific data sources present similar problems. Given that source integration usually improves data quality, one of the objectives is keeping the computational complexity sufficiently low to allow an optimal assimilation and mining of all the information. In particular, the scope of integrating intraomics data can be to improve the exploration of gene co-expression landscapes, while the scope of integrating interomics sources can be that of establishing genotype-phenotype associations. Both integrations are relevant to cancer biomarker meta-analysis, as the proposed study demonstrates. Our approach is based on re-annotating cancer-specific data available at the EBI's ArrayExpress repository and building a data warehouse aimed to biomarker discovery and validation studies. Cancer genes are organized by tissue with biomedical and clinical evidences combined to increase reproducibility and consistency of results. For better comparative evaluation, multiple queries have been designed to efficiently address all types of experiments and platforms, and allow for retrieval of sample-related information, such as cell line, disease state and clinical aspects. AU - Orsini, M. AU - Travaglione, A. AU - Capobianco, E. DA - 2013/07//undefined DO - 10.1016/j.cmpb.2013.03.010 IS - 1 J2 - Comput Methods Programs Biomed KW - *Oncogenes Biomarkers, Tumor/*genetics Computational Biology Computer Simulation Databases, Genetic/statistics & numerical data data mining Genetic Association Studies Genomics/statistics & numerical data Humans Meta-Analysis as Topic Oligonucleotide Array Sequence Analysis/statistics & numerical data Translational Medical Research LA - eng PY - 2013 SN - 1872-7565 0169-2607 SP - 166-180 ST - Warehousing re-annotated cancer genes for biomarker meta-analysis T2 - Computer methods and programs in biomedicine TI - Warehousing re-annotated cancer genes for biomarker meta-analysis VL - 111 ID - 9 ER - TY - JOUR AB - Translational research in cancer genomics assigns a fundamental role to bioinformatics in support of candidate gene prioritization with regard to both biomarker discovery and target identification for drug development. Efforts in both such directions rely on the existence and constant update of large repositories of gene expression data and omics records obtained from a variety of experiments. Users who interactively interrogate such repositories may have problems in retrieving sample fields that present limited associated information, due for instance to incomplete entries or sometimes unusable files. Cancer-specific data sources present similar problems. Given that source integration usually improves data quality, one of the objectives is keeping the computational complexity sufficiently low to allow an optimal assimilation and mining of all the information. In particular, the scope of integrating intraomics data can be to improve the exploration of gene co-expression landscapes, while the scope of integrating interomics sources can be that of establishing genotype-phenotype associations. Both integrations are relevant to cancer biomarker meta-analysis, as the proposed study demonstrates. Our approach is based on re-annotating cancer-specific data available at the EBI's ArrayExpress repository and building a data warehouse aimed to biomarker discovery and validation studies. Cancer genes are organized by tissue with biomedical and clinical evidences combined to increase reproducibility and consistency of results. For better comparative evaluation, multiple queries have been designed to efficiently address all types of experiments and platforms, and allow for retrieval of sample-related information, such as cell line, disease state and clinical aspects. [All rights reserved Elsevier]. AU - Orsini, M. AU - Travaglione, A. AU - Capobianco, E. DA - 2013/07// DO - 10.1016/j.cmpb.2013.03.010 IS - 1 J2 - Computer Methods and Programs in Biomedicine KW - bioinformatics biological tissues Cancer data assimilation data integration data mining Data warehouses Genetics Genomics meta data query processing PY - 2013 SN - 0169-2607 SP - 166-80 ST - Warehousing re-annotated cancer genes for biomarker meta-analysis T2 - Computer Methods and Programs in Biomedicine TI - Warehousing re-annotated cancer genes for biomarker meta-analysis UR - http://dx.doi.org/10.1016/j.cmpb.2013.03.010 VL - 111 ID - 1789 ER - TY - JOUR AB - This paper analyses the process of establishing a risk object - electromagnetic fields. This example will be used to examine risk categorisation as such, and to explore how individual and collective attempts to establish a new risk interact with health policy. We studied people who claim to suffer from electro-hypersensitivity. We conducted participant observation and repeated interviews with 18 electro-hypersensitivity sufferers, and interviewed representatives of 'patient' organisations and health policy-makers in the Netherlands. In their attempts to trace particular outcomes (electro-hypersensitivity) to a specific risk factor (electromagnetic fields), we observed electro-hypersensitivity sufferers assembling complaints and complainants into a single illness category, distinguishing 'real' from 'fake' cases, and turning to measurement and experiments in order to show that others are at risk. Although electro-hypersensitivity sufferers mimic scientific practices, they have thus far failed to have their illness recognised. To non-sufferers, electro-hypersensitivity remains a psychosomatic condition. This position entails a dual failure for electro-hypersensitivity sufferers - they suffer from medically unexplained symptoms while identifying with a politically and medically unrecognised label. This very failure, however, provides perceived legitimacy for political activism. Although those who categorise themselves as having electro-hypersensitivity have failed to establish electromagnetic fields as a risk, their suffering is increasingly recognised. This partial recognition, we argue, is an attempt to depoliticise the issue. AU - de Graaff, M. B. AU - Broer, Christian DA - 2012 DO - 10.1080/13698575.2012.661040 IS - 2 PY - 2012 SN - 1369-8575 SP - 129-147 ST - 'We are the canary in a coal mine': Establishing a disease category and a new health risk T2 - Health Risk & Society TI - 'We are the canary in a coal mine': Establishing a disease category and a new health risk VL - 14 ID - 2201 ER - TY - JOUR AB - This paper analyzes the Web applications to manage literature in Biomedical Sciences. We identified, examined and described 28 academic utilities that perform automated analysis. They are user-friendly, and altogether provide better search, retrieval, management and meta-analysis (bibliometrics, network analyses and text mining) of PubMed literature in an efficient, automated, updated and systematized manner that facilitates the simultaneous handling of large quantities of paper records, making it possible for the user to choose the most relevant. All of these initiatives address the needs and challenges of bio-medical research in our time. AU - Michan-Aguirre, Layla AU - Calderon-Rojas, Roberto AU - Nitxin-Castaneda-Sortibran, America AU - Rodriguez-Arnaiz, Rosario DA - 2010/06//MAY DO - 10.3145/epi.2010.may.09 IS - 3 PY - 2010 SN - 1386-6710 SP - 285-291 ST - Web applications for literature retrieval and analysis from PubMed T2 - Profesional De La Informacion TI - Web applications for literature retrieval and analysis from PubMed VL - 19 ID - 1945 ER - TY - CONF AB - The web is the largest repository of documents available and, for retrieval for various purposes, we must use crawlers to navigate autonomously, to select documents and processing them according to the objectives pursued. However, we can see, even intuitively, that are obtained more or less abundant replications of a significant number of documents. The detection of these duplicates is important because it allows to lighten databases and improve the efficiency of information retrieval engines, but also improve the precision of cybermetric analysis, web mining studies, etc. Hash standard techniques used to detect these duplicates only detect exact duplicates, at the bit level. However, many of the duplicates found in the real world are not exactly alike. For example, we can find web pages with the same content, but with different headers or meta tags, or viewed with style sheets different. A frequent case is that of the same document but in different formats; in these cases we will have completely different documents at binary level. The obvious solution is to compare plain text conversions of all these formats, but these conversions are never identical, because of the different treatments of the converters on various formatting elements (treatment of textual characters, diacritics, spacing, paragraphs ...). In this work we introduce the possibility of using what is known as fuzzy-hashing. The idea is to produce fingerprints of files (or documents, etc..). This way, a comparison between two fingerprints could give us an estimate of the closeness or distance between two files, documents, etc. Based on the concept of "rolling hash", the fuzzy hashing has been used successfully in computer security tasks, such as identifying malware, spam, virus scanning, etc. We have added capabilities of fuzzy hashing to a slight crawler and have made several tests in a heterogeneous network domain, consisting of multiple servers with different software, static and dynamic pages, etc.. These tests allowed us to measure similarity thresholds and to obtain useful data about the quantity and distribution of duplicate documents on web servers. 2011 Springer-Verlag Berlin Heidelberg. AU - Figuerola, Carlos G. AU - Diaz, Raquel Gomez AU - Alonso Berrocal, Jose L. AU - Zazo Rodriguez, Angel F. C3 - Trends in Practical Applications of Agents and Multiagent Systems: 9th International Conference on Practical Applications of Agents and Multiagent Systems DA - 2011 DO - 10.1007/978-3-642-19931-8_15 KW - Autonomous agents Computer viruses Heterogeneous networks information retrieval Multi agent systems Search Engines security of data Software testing User interfaces Viruses World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2011 SN - 18675662 SP - 117-125 ST - Web document duplicate detection using fuzzy hashing T3 - Advances in Intelligent and Soft Computing TI - Web document duplicate detection using fuzzy hashing UR - http://dx.doi.org/10.1007/978-3-642-19931-8_15 VL - 90 ID - 826 ER - TY - CONF AB - We present first some general remarks on challenges faced by modern information technology, notably when a human being is a relevant factor. These challenges are mainly related to inherent difficulties in solving some "meta-problems", in particular broadly perceived decision making. We assume, on the one hand, business intelligence related perspective, augmented with elements of Web intelligence, to fully use all available tools and resources. On the other hand, we assume a human centric computing perspective in the spirit of, for instance, Dertouzos's ideas. First, we present a brief account of modern approaches to real world decision making, emphasize the concept of a decision making process that involves more factors and aspects like: the use of own and external knowledge, involvement of various "actors", aspects, etc., individual habitual domains, non-trivial rationality, different paradigms. As an example we mention Checkland's deliberative decision making (which is an important elements of his soft approach to systems analysis). After an analysis of specifics and difficulties encountered in many real world decision-making situations, we strongly advocate the use of computer based decision support systems. First, we briefly review the history of decision support systems, and then present a popular classification, starting from data driven to Web based and inter-organizational. We indicate that decision support systems should incorporate some sort of "intelligence", and we first briefly mention some views of what intelligence may mean in this concept, and then assume some more pragmatic, though limited, view of intelligent decision support systems. We indicate possible advantages of using elements of fuzzy logic and soft computing, notably, Zadeh's computing with words to be able to somehow merge the ideas presented like: human centric computing, decision making processes, intelligent decision support, etc. Finally, we present an example of implementation in which the above-mentioned ideas have been to some extent implemented. This concern a data and document driven decision support system for a small to medium company in which, first, Zadeh's computing with words and perceptions paradigm is employed via linguistic database summaries, elements of Web intelligence are used to derive additional information, and the ideas of an intelligent decision support and human centric computing are shown to be synergistically combined. We finish with some general remarks emphasizing that fuzzy logic and soft computing, notably as exemplified by Zadeh's computing with words and perceptions may be viewed as providing just the right tools to solve the problems considered. 2006 IEEE. AU - Kacprzyk, Janusz C3 - 2006 3rd International IEEE Conference Intelligent Systems, IS'06, September 4, 2006 - September 6, 2006 DA - 2006 DO - 10.1109/IS.2006.348382 KW - Administrative data processing artificial intelligence Computer Systems data mining decision making Decision support systems Decision theory Fuzzy inference Fuzzy Logic Fuzzy sets Fuzzy systems Hand tools Human computer interaction Industrial management Industry Intelligent control Intelligent systems Management information systems Problem solving Soft computing Systems analysis N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2006 SN - 15411672 SP - 3 ST - Web intelligence, business intelligence and decision support systems: A challenge for fuzzy logic and soft computing T3 - IEEE Intelligent Systems TI - Web intelligence, business intelligence and decision support systems: A challenge for fuzzy logic and soft computing UR - http://dx.doi.org/10.1109/IS.2006.348382 ID - 909 ER - TY - JOUR AB - Visible human dataset (VHD) is a remarkable piece of raw digital anatomical knowledge still to be fully exploited. Colours of VHD anatomic images are the natural targets of different algorithmic approaches devoted to understanding the content of the complex digital medical images, but they have never been analysed exhaustively. A full colorimetric characterization of all 9000 VHD colour images may help to take advantage of implicit available information in raw data. This study describes a novel colorimetric characterization and a Visual Knowledge Discovery tool, using methods from database field, data visualization, and image analysis. The applied heterogeneous methods allowed us to develop a histogram meta database and make it available remotely. It consists of a histogram-based colorimetric characterization of the all VHD 24-bit colour images. A user-friendly, interactive, and intuitive 3D framework providing 3D services was built and made freely available. It allows real-time analysis of colour component characteristics of a user-defined set of VHD images providing 3D interactive navigation of the histogram meta database. New knowledge can be discovered using our tool and the histogram meta database provided. This work allowed us to propose novel methods for colour image characterization and obtained results using developed service on VHD colour images let us to partially understand the not fully satisfactorily results achieved so far analysing these images. AU - Menegoni, F. AU - Pinciroli, F. DA - 2006/06// DO - 10.1080/14639230600629235 IS - 2 J2 - Medical Informatics and the Internet in Medicine KW - colour graphics data mining data visualisation Graphical user interfaces image colour analysis interactive systems Internet medical image processing meta data real-time systems PY - 2006 SN - 1463-9238 SP - 143-52 ST - A Web management service applied to a comprehensive characterization of visible human dataset colour images T2 - Medical Informatics and the Internet in Medicine TI - A Web management service applied to a comprehensive characterization of visible human dataset colour images UR - http://dx.doi.org/10.1080/14639230600629235 VL - 31 ID - 1649 ER - TY - JOUR AB - Secondary-school teachers are in constant need of finding relevant digital resources to support specific didactic goals. Unfortunately, generic search engines do not allow them to identify learning objects among semi-structured candidate educational resources, much less retrieve them by teaching goals. This article describes a multi-strategy approach for semantically guided extraction, indexing and search of educational metadata; it combines machine learning, concept analysis, and corpus-based natural language processing techniques. The overall model was validated by comparing extracted metadata against standard search methods and heuristic-based techniques for Classification Accuracy and Metadata Quality (as evaluated by actual teachers), yielding promising results and showing that this semantically guided metadata extraction can effectively enhance access and use of educational digital material. 2014 Springer Science+Business Media New York. AU - Atkinson, John AU - Gonzalez, Andrea AU - Munoz, Mauricio AU - Astudillo, Hernan DA - 2014 DO - 10.1007/s10489-014-0557-6 IS - 2 J2 - Applied Intelligence KW - artificial intelligence data mining education Extraction Heuristic methods Indexing (of information) Learning algorithms Learning systems Metadata Natural language processing systems Quality Control Search Engines Semantics L1 - internal-pdf://0111537764/Atkinson-2014-Web metadata extraction and sema.pdf N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2014 SN - 0924669X SP - 649-664 ST - Web metadata extraction and semantic indexing for learning objects extraction T2 - Applied Intelligence TI - Web metadata extraction and semantic indexing for learning objects extraction UR - http://dx.doi.org/10.1007/s10489-014-0557-6 VL - 41 ID - 1170 ER - TY - CONF AB - Current web mining approaches use massive amounts of commodity hardware and processing time to leverage analytics for today's web. For a seamless application interaction, those approaches have to use pre-aggregated results and indexes to circumvent the slow processing on their data stores e.g. relational databases or document stores. The upcoming trend of in-memory, column-oriented databases is widely used to accelerate business analytics like financial reports, but the application on large text corpora remains unaffected. We argue that although in-memory, column-oriented stores are tailor-made for traditional data schemes, they are also applicable for web mining applications that mainly consists of raw text informations enriched with limited semantic meta data. Thus, we implement a web mining application that stores every information in a pure main memory data store. We experience an acceleration of current web mining queries and identify new opportunities for web mining applications. To evaluate the performance impact, we compare the run-time of general web mining tasks on a traditional row-oriented, disc-based database and a column-oriented, in-memory database using the example of BlogIntelligence, which serves exemplary for web mining applications. Springer-Verlag 2013. AU - Hennig, Patrick AU - Berger, Philipp AU - Meinel, Christoph C3 - 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, December 14, 2013 - December 16, 2013 DA - 2013 DO - 10.1007/978-3-642-53914-5_18 KW - Database systems data handling data mining Semantics N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2013 SN - 03029743 SP - 205-216 ST - Web mining accelerated with in-memory and column store technology T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Web mining accelerated with in-memory and column store technology UR - http://dx.doi.org/10.1007/978-3-642-53914-5_18 VL - 8346 LNAI ID - 1424 ER - TY - JOUR AB - Human leukocyte antigens (HLA) are an important family of genes involved in the immune system. Their primary function is to allow the host immune system to be able to distinguish between self and non-self peptides-e.g. derived from invading pathogens. However, these genes have also been implicated in immune-mediated adverse drug reactions (ADRs), presenting a problem to patients, clinicians and pharmaceutical companies. We have previously developed the Allele Frequency Net Database (AFND) that captures the allelic and haplotype frequencies for these HLA genes across many healthy populations from around the world. Here, we report the development and release of the HLA-ADR database that captures data from publications where HLA alleles and haplotypes have been associated with ADRs (e.g. Stevens-Johnson Syndrome/toxic epidermal necrolysis and drug-induced liver injury). HLA-ADR was created by using data obtained through systematic review of the literature and semi-automated literature mining. The database also draws on data already present in AFND allowing users to compare and analyze allele frequencies in both ADR patients and healthy populations. The HLA-ADR database provides clinicians and researchers with a centralized resource from which to investigate immune-mediated ADRs.Database URL: http://www.allelefrequencies.net/hla-adr/. AU - Ghattaoraya, Gurpreet S. AU - Dundar, Yenal AU - Gonzalez-Galarza, Faviel F. AU - Maia, Maria Helena Thomaz AU - Santos, Eduardo Jose Melo AU - da Silva, Andrea Luciana Soares AU - McCabe, Antony AU - Middleton, Derek AU - Alfirevic, Ana AU - Dickson, Rumona AU - Jones, Andrew R. DA - 2016 DO - 10.1093/database/baw069 J2 - Database (Oxford) L1 - internal-pdf://0038649718/Ghattaoraya-2016-A web resource for mining HLA.pdf LA - eng PY - 2016 SN - 1758-0463 1758-0463 ST - A web resource for mining HLA associations with adverse drug reactions: HLA-ADR T2 - Database : the journal of biological databases and curation TI - A web resource for mining HLA associations with adverse drug reactions: HLA-ADR UR - http://database.oxfordjournals.org/content/2016/baw069.full.pdf VL - 2016 ID - 296 ER - TY - CONF AB - The World Wide Web is growing at a rate of about a million pages per day, making it tougher for search engines to extract relevant information for its users. Earlier Search Engines used simple indexing techniques to search for keywords in websites and gave more weightage to pages with higher frequency of keyword occurrences. This technique was easy to trick by using meta-tags liberally, claiming that their page used popular search terms, thereby, made meta-tags useless for search engines. Another technique widely used was to repeatedly use popular search terms in invisible text (white text on a white background) to fool engines. These fallacies called for a set of algorithms which would sort the results using an unbiased parameter. The currently employed Link Analysis Algorithms make use of the structure present in 'hyperlinks', sorted and displayed depending on a 'popularity index' decided to pages linking to it. In this work, we have analyzed the mathematics behind these 'link analysis algorithms' and their effective use in ecommerce applications where they could be used for displaying 'personalized information'. 2008 IEEE. AU - Bedekar, Mangesh AU - Deshpande, Bharat AU - Joshi, Ramprasad C3 - 1st International Conference on Emerging Trends in Engineering and Technology, ICETET 2008, July 16, 2008 - July 18, 2008 DA - 2008 DO - 10.1109/ICETET.2008.70 KW - COMPUTER software Hypertext systems Industrial economics information retrieval Information services Internet Search Engines Technology Websites World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2008 SP - 1099-1103 ST - Web search personalization by user profiling T3 - Proceedings - 1st International Conference on Emerging Trends in Engineering and Technology, ICETET 2008 TI - Web search personalization by user profiling UR - http://dx.doi.org/10.1109/ICETET.2008.70 ID - 1061 ER - TY - JOUR AB - BACKGROUND: Identifying literature for a systematic review requires searching a variety of sources. The main sources are typically bibliographic databases. Web searching using search engines and websites may be used to identify grey literature. Searches should be reported in order to ensure transparency and reproducibility. This study assesses the reporting of web searching for systematic reviews carried out by the National Institute for Health Research (NIHR) Health Technology Assessment (HTA) programme (UK). The study also makes recommendations about reporting web searching for systematic reviews in order to achieve a reasonable level of transparency and reproducibility. METHODS: Systematic reviews were identified by searching the HTA database via the Centre for Reviews and Dissemination (CRD) website. Systematic reviews were included in the study if they made reference to searching the web using either search engines or websites. A data-extraction checklist was designed to record how web searching was reported. The checklist recorded whether a systematic review reported: the names of search engines or websites; the dates they were searched; the search terms; the results of the searches; and, in the case of websites, whether a URL was reported. RESULTS: 554 HTA reports published between January 2004 and December 2013 were identified. 300 of these reports are systematic reviews, of which 108 report web searching using either a search engine or a website. Overall, the systematic reviews assessed in the study exhibit a low standard of web search reporting. In the majority of cases, the only details reported are the names of websites (n = 54) or search engines (n = 33). A small minority (n = 6) exhibit the highest standard of web search reporting. CONCLUSIONS: Most web search reporting in systematic reviews carried out on the UK HTA programme is not detailed enough to ensure transparency and reproducibility. Transparency of reporting could be improved by adhering to a reporting standard such as the standard detailed in the CRD systematic reviews methods guidance. Reproducibility is harder to achieve due to the frequency of changes to websites and search engines. AU - Briscoe, Simon DA - 2015 DO - 10.1186/s13104-015-1079-y J2 - BMC Res Notes KW - Databases, Bibliographic/*utilization Data Mining/*statistics & numerical data Humans Internet Reproducibility of results Search Engine/*methods Technology Assessment, Biomedical/*standards L1 - internal-pdf://0501772890/Briscoe-2015-Web searching for systematic revi.pdf LA - eng PY - 2015 SN - 1756-0500 1756-0500 SP - 153 ST - Web searching for systematic reviews: a case study of reporting standards in the UK Health Technology Assessment programme T2 - BMC research notes TI - Web searching for systematic reviews: a case study of reporting standards in the UK Health Technology Assessment programme UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406036/pdf/13104_2015_Article_1079.pdf VL - 8 ID - 50 ER - TY - JOUR AB - Web metrics help to identify improvement potentials for web sites. In contrast to transaction based sites, the success of web sites geared toward information delivery is harder to quantify without direct feedback out of a transaction. We propose a generic success measure for information driven web sites by observing the users in context of the web site semantics. Thus we identify target pages, analyze the web page content and evaluate effectiveness and efficiency of the user actions with respect to the web site's objectives. The user's perspective has to be incorporated for a comprehensive success measure. We propose to integrate search queries from referrer information carrying the user's intentions. Out of an integrated web site meta model we derive formally a new success measure. This approach uses common data mining techniques and text mining algorithms like PLSA and shows its applicability in two case studies and an independent user enquiry. Copyright 2007, IGI Global. AU - Stolz, Carsten AU - Barth, Michael DA - 2007 IS - 3 J2 - International Journal of Information Technology and Web Engineering KW - Biofeedback data mining Decision support systems Information Management Information theory Internet Knowledge management mining Search Engines Websites World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PY - 2007 SN - 15541045 SP - 37-52 ST - Web site performance analysis success assessment of information driven web site on user traces T2 - International Journal of Information Technology and Web Engineering TI - Web site performance analysis success assessment of information driven web site on user traces VL - 2 ID - 1578 ER - TY - JOUR AB - Now a days, the Data Engineering becoming emerging trend to discover knowledge from Web audiovisual data such asYouTube videos, Yahoo Screen, Face Book videos etc. Different categories of web video are being shared on such social Web sites and are being used by the billions of users all over the world. The uploaded Web videos will have different kind of metadata as attribute information of the video data. The metadata attributes defines the contents and features/characteristics of the Web videos conceptually. Hence, accomplishing Web video mining by extracting features of Web videos in terms of metadata is a challenging task. In this work, effective attempts are made to classify and predict the metadata features of Web videos such as length of the Web videos, number of comments of the Web videos, ratings information and view counts of the Web videos using data mining algorithms such as Decision tree J48 and navie Bayesian algorithms as a part of Web video mining. The results of Decision tree J48 and navie Bayesian classification models are analyzed and compared as a step in the process of knowledge discovery from Web videos. AU - Algur, S. P. AU - Bhat, P. DA - 2016/02// DO - 10.5815/ijitcs.2016.02.09 IS - 2 J2 - International Journal of Information Technology and Computer Science KW - Bayes methods data mining decision trees meta data pattern classification Social networking (online) L1 - internal-pdf://4146382462/Algur-2016-Web video mining_ metadata predicti.pdf PY - 2016 SN - 2074-9007 SP - 69-77 ST - Web video mining: metadata predictive analysis using classification techniques T2 - International Journal of Information Technology and Computer Science TI - Web video mining: metadata predictive analysis using classification techniques UR - http://dx.doi.org/10.5815/ijitcs.2016.02.09 http://www.mecs-press.org/ijitcs/ijitcs-v8-n2/IJITCS-V8-N2-9.pdf VL - 8 ID - 1747 ER - TY - CONF AB - With the development of cyberinfrastructure (CI), the massive heterogeneous resources emerge gradually. The resources are multi-source, heterogeneous and spatiotemporally distributed. Traditional structural management of resources has been unable to meet the needs of global resource sharing because of the lack of efficiency in expressing spatiotemporal features of CI. Since the CI resources leap over time and space, it is essential to establish a unified spatiotemporal metadata model for CI services across different disciplines. The adoption of a system with intuitive resource visualization and management would aid interoperability and collaboration of scientific research activities among organizations and domains. In this paper, we propose a spatiotemporal metadata model which characterizes the resources as spatial entities with time and space dimensions. Furthermore, a web-based GIS platform is implemented for spatiotemporal visualization. The well-known data, computing and network resources are used as the cases in the model and the visualization system. This allows the easy integration of emerging CI services into the system. Our work here would provide the scientists with great benefits for the integration, management, spatiotemporal analysis of CI resources and auxiliary optimization of resource distribution. AU - Yuwei, Wang AU - Kaichao, Wu AU - Danhuai, Guo AU - Wenting, Xiang AU - Baoping, Yan C3 - Web Information Systems and Mining. International Conference, WISM 2012, 26-28 Oct. 2012 DA - 2012 DO - 10.1007/978-3-642-33469-6_43 KW - data visualisation Geographic information systems Internet meta data open systems Resource allocation spatiotemporal phenomena PB - Springer Verlag PY - 2012 SP - 324-32 ST - A Web Visualization System of Cyberinfrastructure Resources T3 - Web Information Systems and Mining. Proceedings International Conference, WISM 2012 TI - A Web Visualization System of Cyberinfrastructure Resources UR - http://dx.doi.org/10.1007/978-3-642-33469-6_43 ID - 858 ER - TY - CONF AB - We present a web-based system to monitor the quality of the meta-data used to describe content in web portals. The system implements meta-data analysis using statistical, visualization and data mining tools. The web-based system enables the site's editor to detect and correct problems in the description of contents, thus improving the quality of the web portal and the satisfaction of its users. We have developed this system and tested it on a Portuguese portal for management executives. 2006 IEEE. AU - Domingues, Marcos Aurelio AU - Soares, Carlos AU - Jorge, Alipio Mario C3 - 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, December 18, 2006 - December 22, 2006 DA - 2007 DO - 10.1109/WI-IATW.2006.24 KW - data mining Data reduction information retrieval systems Metadata Problem solving Statistical methods Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Inst. of Elec. and Elec. Eng. Computer Society PY - 2007 SP - 188-191 ST - A web-based system to monitor the quality of meta-data in web portals T3 - Proceedings - 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2006 Workshops Proceedings) TI - A web-based system to monitor the quality of meta-data in web portals UR - http://dx.doi.org/10.1109/WI-IATW.2006.24 ID - 1622 ER - TY - JOUR AB - The objective is development of an automated natural hazard zonation system with Internet-SMS warning utilizing geomatics for sustainable societies. At present no web-enabled warning system exists which can disseminate warning after hazard evaluation at one go and in real time. The functionality is to be modular in architecture having GIS-GUI, input, understanding, rainfall prediction, expert, output, and warning modules. Through this paper a significantly enhanced system integrated with Web-enabled-geospatial information has been proposed, and it can be concluded that an automated hazard warning system has been conceptualized and researched. However, now the scope is to develop it further. The research is aimed to create a dynamic and real-time spatial data infrastructure (SDI) solution by the way of continual sharable activity imparted by internet and ArcGIS/ArcIMS). At its core, the system is based on components GeoServer, GeoNetwork, Django, and GeoExt, that provide a platform for sophisticated web browser spatial visualization and analysis. Building on this stack, the present work utilises a map composer and viewer, tools for analysis, and reporting tools which are facilitated by ArcGIS/ArcIMS. It is designed on Web 2.0 principles to make it extremely simple to share data; easily add comments, ratings, tags connecting between ArcGIS/ArcIMS and existing GIS tools. To enhance distribution, the ArcGIS/ArcIMS enables simple installation and distribution; automatic metadata creation; search via catalogues and search engines. And to promote data collection the system is aimed to align incentives to create a sustainable SDI to align efforts so that amateur, commercial, non-governmental organisations and governmental creators all naturally collaborate, figure-out workflows, tools and licenses that work to assure data quality, in-order to promote data, constantly evolving, convincing and always up to date. The idea is to create a full featured platform for helping decision makers easily compose and share developments with spatial data. AU - Bhattacharya, D. AU - Kutoglu, H. S. AU - Mastorakis, N. DA - 2016 J2 - WSEAS Transactions on Information Science and Applications KW - alarm systems data mining Geographic information systems hazards Internet meta data online front-ends rain Search Engines PY - 2016 SN - 1790-0832 SP - 12-23 ST - WebGeoinformatics for Creating Schema Interface for Mapping With Distributed GIS: Geomatics For Sustainable Societies T2 - WSEAS Transactions on Information Science and Applications TI - WebGeoinformatics for Creating Schema Interface for Mapping With Distributed GIS: Geomatics For Sustainable Societies VL - 13 ID - 1263 ER - TY - CONF AB - WebRat is an interactive system for visualising and refining and refining search result sets. Documents matching a query are dynamically clustered on the fly and visualised as a contour map of islands. Thematic clusters are built, analysed, and visualised in real time. Users can interactively explore the visualisation and refine queries by selecting from the keywords and clusters presented to them. WebRat does not rely on precalculated meta data. Instead, necessary information is directly extracted from query result representations provided by search engines, as for example ranked lists of document snippets. The system is language-independent and can easily be adapted to a number of data sources and visualisation modes. WebRat supports agile knowledge retrieval by transforming unstructured information input into a representation enriched with structure and meta information even when environmental conditions and user demands change frequently and rapidly. 2003 IEEE. AU - Granitzer, M. AU - Kienreich, W. AU - Sabol, V. AU - Dosinger, G. C3 - 12th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2003, June 9, 2003 - June 11, 2003 DA - 2003 DO - 10.1109/ENABL.2003.1231426 KW - Agile manufacturing systems data mining Data visualization Display devices information retrieval Labeling Refining Search Engines User interfaces visualization Websites World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - IEEE Computer Society PY - 2003 SN - 15244547 SP - 296-301 ST - WebRat: Supporting agile knowledge retrieval through dynamic, incremental clustering and automatic labelling of Web search result sets T3 - Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE TI - WebRat: Supporting agile knowledge retrieval through dynamic, incremental clustering and automatic labelling of Web search result sets UR - http://dx.doi.org/10.1109/ENABL.2003.1231426 VL - 2003-January ID - 722 ER - TY - CHAP A2 - Fensel, D. A2 - Sycara, K. A2 - Mylopoulos, J. AB - Ontologies define hierarchies of classes and attributes; they are meta-data: data about data. In the "traditional approach" to ontology engineering, experts add new data by carefully analyzing others' ontologies and fitting their new concepts into the existing hierarchy. In the emerging "Semantic Web approach", ordinary users may not look at anyone's ontology before creating theirs - instead, they may simply define a new local schema from scratch that addresses their immediate needs, without worrying if and how their data may some day integrate with others' data. This paper describes WebScripter, a tool for translating between the countless mini-ontologies that the "Semantic Web approach" yields. In our approach, ordinary users graphically align data from multiple sources in a simple spreadsheet-like view without having to know anything about ontologies. The resulting web of equivalency statements is then mined by WebScripter to help users find related ontologies and data, and to automatically align the related data with their own. AU - Yan, B. S. AU - Frank, M. AU - Szekely, P. AU - Neches, R. AU - Lopez, J. PY - 2003 SN - 3-540-20362-1 SP - 676-689 ST - WebScripter: Grass-roots ontology alignment via end-user report creation T2 - Semantic Web - Iswc 2003 TI - WebScripter: Grass-roots ontology alignment via end-user report creation VL - 2870 ID - 2249 ER - TY - JOUR AB - In the integration process of search results returned from multi member search engines, the quality of a service meta-search engine is determined by the ranking of search results to a great extent. The current technologies on achieving effective integration of search results mainly rely on combining search queries, document content, the initial sorting information or (and) endowing the member search engines with weights, and others. The method of endowing engines with weights is objective, often depends on the subjective experience of users, and can't embody users' search preferences. So, this paper proposes a method to dynamically endow the member search engines with weights based on mining user' s searching and navigation habits. It analyzes users' log data on clicking and downloading search results, and gets the matching degrees between search results and users' navigation. The statistic results demonstrate that the methodology is feasible and effective to the ranking of multi engine search results. AU - Li, Chao AU - Xie, Kunwu DA - 2014/06/15/ IS - 12 J2 - Computer Engineering and Applications KW - data analysis data mining document handling Search Engines PY - 2014 SN - 1002-8331 SP - 21-5 ST - Weight calculation for search engines and quality evaluation for ranking of search results T2 - Computer Engineering and Applications TI - Weight calculation for search engines and quality evaluation for ranking of search results VL - 50 ID - 1403 ER - TY - JOUR AB - Massage is an increasingly popular complementary and alternative medicine modality used for a variety of conditions. Cochrane massage reviews are a gold mine of observations regarding the methodologic issues inherent in massage trials and have raised important questions, which can be used to guide future research. Among the research issues raised in Cochrane reviews are questions about combination trials, practitioner qualifications, adequate doses, and appropriate control groups. This article summarizes these key research issues. AU - Ezzo, Jeanette DA - 2007/03// DO - 10.1089/acm.2006.6291 IS - 2 L1 - internal-pdf://2724478633/Ezzo-2007-What can be learned from Cochrane sy.pdf PY - 2007 SN - 1075-5535 SP - 291-295 ST - What can be learned from Cochrane systematic reviews of massage that can guide future research? T2 - Journal of Alternative and Complementary Medicine TI - What can be learned from Cochrane systematic reviews of massage that can guide future research? UR - http://online.liebertpub.com.ezproxy.lib.vt.edu/doi/pdfplus/10.1089/acm.2006.6291 VL - 13 ID - 2173 ER - TY - JOUR AB - BACKGROUND: We systematically reviewed availability and quality of data on the prevalence of use and dependence on meth/amphetamine, cannabis, cocaine and opioids. METHODS: Multiple search strategies: (a) peer-reviewed literature searches (1990-2008) using methods recommended by the Meta-analysis of Observational Studies in Epidemiology (MOOSE) group; (b) systematic searches of online databases; (c) Internet searches to find other published evidence of drug use; (d) repeated consultation and feedback from experts around the globe; (e) a viral email sent to lists of researchers in the illicit drug and HIV fields. Data were extracted and graded according to predefined variables reflecting quality of data source. RESULTS: Qualitative evidence of illicit drug use and dependence was found for most countries, which hold over 98% of the world's population aged AU - Degenhardt, Louisa AU - Bucello, Chiara AU - Calabria, Bianca AU - Nelson, Paul AU - Roberts, Anna AU - Hall, Wayne AU - Lynskey, Michael AU - Wiessing, Lucas AU - Mora, Maria Elena Medina AU - Clark, Nico AU - Thomas, Johanna AU - Briegleb, Christina AU - McLaren, Jennifer DA - 2011/09/01/ DO - 10.1016/j.drugalcdep.2010.11.032 IS - 2-3 J2 - Drug Alcohol Depend KW - *Data Mining *Street Drugs Female Humans Male Research Design/*statistics & numerical data Substance-Related Disorders/*epidemiology L1 - internal-pdf://0670752506/Degenhardt-2011-What data are available on the.pdf LA - eng PY - 2011 SN - 1879-0046 0376-8716 SP - 85-101 ST - What data are available on the extent of illicit drug use and dependence globally? Results of four systematic reviews T2 - Drug and alcohol dependence TI - What data are available on the extent of illicit drug use and dependence globally? Results of four systematic reviews UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S0376871611000846/1-s2.0-S0376871611000846-main.pdf?_tid=268ed0c8-8332-11e6-98a0-00000aacb361&acdnat=1474816390_97d466d1b7a2df5c7e342ad2d45d5d0e VL - 117 ID - 123 ER - TY - CHAP A2 - Lewis, H. A2 - Bridger, A. AB - Linking ground based telescopes with astronomical satellites, and using the emerging field of intelligent agent architectures to provide crucial autonomous decision making in software, we have combined data archives and research class robotic telescopes along with distributed computing nodes to build an ad-hoc peer-to-peer hetero-geneous network of resources. The eSTAR Project* uses intelligent agent technologies to carry out resource discovery, submit observation requests and analyze the reduced data returned from a meta-network of robotic telescopes. We present the current operations paradigm of the eSTAR network and describe the direction of in which the project intends to develop over the next several years. We also discuss the challenges facing the project, including the very real sociological one of user acceptance. AU - Allan, A. AU - Adamson, A. AU - Cavanagh, B. AU - Economou, F. AU - Fraser, S. AU - Jenness, T. AU - Mottram, C. AU - Naylor, T. AU - Saunders, E. S. AU - Steele, I. A. AU - Vestrand, W. T. AU - White, R. R. AU - Wozniak, P. R. PY - 2006 SN - 0-8194-6339-6 SP - 627408 ST - What do telescopes, databases and compute clusters have in common? T2 - Advanced Software and Control for Astronomy TI - What do telescopes, databases and compute clusters have in common? VL - 6274 ID - 2046 ER - TY - JOUR AB - BACKGROUND: The need for systematic methods for reviewing evidence is continuously increasing. Evidence mapping is one emerging method. There are no authoritative recommendations for what constitutes an evidence map or what methods should be used, and anecdotal evidence suggests heterogeneity in both. Our objectives are to identify published evidence maps and to compare and contrast the presented definitions of evidence mapping, the domains used to classify data in evidence maps, and the form the evidence map takes. METHODS: We conducted a systematic review of publications that presented results with a process termed "evidence mapping" or included a figure called an "evidence map." We identified publications from searches of ten databases through 8/21/2015, reference mining, and consulting topic experts. We abstracted the research question, the unit of analysis, the search methods and search period covered, and the country of origin. Data were narratively synthesized. RESULTS: Thirty-nine publications met inclusion criteria. Published evidence maps varied in their definition and the form of the evidence map. Of the 31 definitions provided, 67 % described the purpose as identification of gaps and 58 % referenced a stakeholder engagement process or user-friendly product. All evidence maps explicitly used a systematic approach to evidence synthesis. Twenty-six publications referred to a figure or table explicitly called an "evidence map," eight referred to an online database as the evidence map, and five stated they used a mapping methodology but did not present a visual depiction of the evidence. CONCLUSIONS: The principal conclusion of our evaluation of studies that call themselves "evidence maps" is that the implied definition of what constitutes an evidence map is a systematic search of a broad field to identify gaps in knowledge and/or future research needs that presents results in a user-friendly format, often a visual figure or graph, or a searchable database. Foundational work is needed to better standardize the methods and products of an evidence map so that researchers and policymakers will know what to expect of this new type of evidence review. SYSTEMATIC REVIEW REGISTRATION: Although an a priori protocol was developed, no registration was completed; this review did not fit the PROSPERO format. AU - Miake-Lye, Isomi M. AU - Hempel, Susanne AU - Shanman, Roberta AU - Shekelle, Paul G. DA - 2016 DO - 10.1186/s13643-016-0204-x J2 - Syst Rev LA - eng PY - 2016 SN - 2046-4053 2046-4053 SP - 28 ST - What is an evidence map? A systematic review of published evidence maps and their definitions, methods, and products T2 - Systematic reviews TI - What is an evidence map? A systematic review of published evidence maps and their definitions, methods, and products VL - 5 ID - 58 ER - TY - CONF AB - GitHub is a popular source code hosting site which serves as a collaborative coding platform. The many features of GitHub have greatly facilitated developers' collaboration, communication, and coordination. Gists are one feature of GitHub, which defines them as "a simple way to share snippets and pastes with others." This three-part study explores how users are using Gists. The first part is a quantitative analysis of Gist metadata and contents. The second part investigates the information contained in a Gist: We sampled 750k users and their Gists (totalling 762k Gists), then manually categorized the contents of 398. The third part of the study investigates what users are saying Gists are for by reading the contents of web pages and twitter feeds. The results indicate that Gists are used by a small portion of GitHub users, and those that use them typically only have a few. We found that Gists are usually small and composed of a single file. However, Gists serve a wide variety of uses, from saving snippets of code, to creating reusable components for web pages. AU - Weiliang, Wang AU - Poo-Caamano, G. AU - Wilde, E. AU - German, D. M. C3 - 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR), 16-17 May 2015 DA - 2015 DO - 10.1109/MSR.2015.36 KW - meta data software engineering source code (software) PB - IEEE PY - 2015 SP - 314-23 ST - What Is the Gist? Understanding the Use of Public Gists on GitHub T3 - 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories (MSR) TI - What Is the Gist? Understanding the Use of Public Gists on GitHub UR - http://dx.doi.org/10.1109/MSR.2015.36 ID - 708 ER - TY - JOUR AB - BackgroundGlobal uptake of antenatal care (ANC) varies widely and is influenced by the value women place on the service they receive. Identifying outcomes that matter to pregnant women could inform service design and improve uptake and effectiveness. ObjectivesTo undertake a systematic scoping review of what women want, need and value in pregnancy. Search strategyEight databases were searched (1994-2015) with no language restriction. Relevant journal contents were tracked via Zetoc. Data collection and analysisAn initial analytic framework was constructed with findings from 21 papers, using data-mining techniques, and then developed using meta-ethnographic approaches. The final framework was tested with 17 more papers. Main resultsAll continents except Australia were represented. A total of 1264 women were included. The final meta-theme was: Women want and need a positive pregnancy experience, including four subthemes: maintaining physical and sociocultural normality; maintaining a healthy pregnancy for mother and baby (including preventing and treating risks, illness and death); effective transition to positive labour and birth; and achieving positive motherhood (including maternal self-esteem, competence, autonomy). Findings informed a framework for future ANC provision, comprising three equally important domains: clinical practices (interventions and tests); relevant and timely information; and pyschosocial and emotional support; each provided by practitioners with good clinical and interpersonal skills within a high quality health system. ConclusionsA positive pregnancy experience matters across all cultural and sociodemographic contexts. ANC guidelines and services should be designed to deliver it, and those providing ANC services should be aware of it at each encounter with pregnant women. Tweetable abstractWomen around the world want ANC staff and services to help them achieve a positive pregnancy experience. Tweetable abstract Women around the world want ANC staff and services to help them achieve a positive pregnancy experience. AU - Downe, S. AU - Finlayson, K. AU - Tuncalp, O. AU - Guelmezoglu, A. Metin DA - 2016/03// DO - 10.1111/1471-0528.13819 IS - 4 L1 - internal-pdf://2576387330/Downe-2016-What matters to women_ a systematic.pdf PY - 2016 SN - 1470-0328 SP - 529-539 ST - What matters to women: a systematic scoping review to identify the processes and outcomes of antenatal care provision that are important to healthy pregnant women T2 - Bjog-an International Journal of Obstetrics and Gynaecology TI - What matters to women: a systematic scoping review to identify the processes and outcomes of antenatal care provision that are important to healthy pregnant women UR - http://onlinelibrary.wiley.com/store/10.1111/1471-0528.13819/asset/bjo13819.pdf?v=1&t=itiro7ty&s=d2c70779b3a633ce8259e4fffc675c5c6747a3eb VL - 123 ID - 2051 ER - TY - CONF AB - One of the most challenging issues in mining information from the World Wide Web is the design of systems that can present the data to the end user by clustering them into meaningful semantic categories. We envision that the analysis of the results of a Web search can significantly take advantage of advanced graph drawing techniques. In this paper we strengthen our point by describing the visual functionalities of WhatsOnWeb, a meta search clustering engine explicitly designed to make it possible for the user to browse the Web by means of drawings of graphs whose nodes represent clusters of coherent data and whose edges describe semantic relationships between pairs of clusters. A prototype of WhatsOnWeb is available at http://whatsonweb.diei.vtnipg.it/. Springer-Verlag Berlin Heidelberg 2005. AU - Di Giacomo, Emilio AU - Didimo, Walter AU - Grilli, Luca AU - Liotta, Giuseppe C3 - 13th International Symposium on Graph Drawing, GD 2005, September 12, 2005 - September 14, 2005 DA - 2006 KW - Database systems data mining Drawing (graphics) Graph theory Semantics User interfaces World Wide Web N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2006 SN - 03029743 SP - 480-491 ST - WhatsOnWeb: Using graph drawing to search the Web T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - WhatsOnWeb: Using graph drawing to search the Web VL - 3843 LNCS ID - 980 ER - TY - CONF AB - Link prediction, i.e., predicting links or interactions between objects in a network, is an important task in network analysis. Although the problem has attracted much attention recently, there are several challenges that have not been addressed so far. First, most existing studies focus only on link prediction in homogeneous networks, where all objects and links belong to the same type. However, in the real world, heterogeneous networks that consist of multi-typed objects and relationships are ubiquitous. Second, most current studies only concern the problem of whether a link will appear in the future but seldom pay attention to the problem of when it will happen. In this paper, we address both issues and study the problem of predicting when a certain relationship will happen in the scenario of heterogeneous networks. First, we extend the link prediction problem to the relationship prediction problem, by systematically defining both the target relation and the topological features, using a meta path-based approach. Then, we directly model the distribution of relationship building time with the use of the extracted topological features. The experiments on citation relationship prediction between authors on the DBLP network demonstrate the effectiveness of our methodology. Copyright 2012 ACM. AU - Sun, Yizhou AU - Han, Jiawei AU - Aggarwal, Charu C. AU - Chawla, Nitesh V. C3 - 5th ACM International Conference on Web Search and Data Mining, WSDM 2012, February 8, 2012 - February 12, 2012 DA - 2012 DO - 10.1145/2124295.2124373 KW - Algorithms data mining Forecasting Heterogeneous networks information retrieval Information services Topology Websites N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2012 SP - 663-672 ST - When will it happen? - Relationship prediction in heterogeneous information networks T3 - WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining TI - When will it happen? - Relationship prediction in heterogeneous information networks UR - http://dx.doi.org/10.1145/2124295.2124373 ID - 877 ER - TY - BLOG AB - [Edit June 8, 2015: This blog post has been rewritten and updated. See Seven Ways Humanists are Using Computers to Understand Text.] This post is an outline of discussion topics I’m proposing… AU - tedunderwood DA - 2012/08/14/T23:11:14+00:00 PY - 2012 ST - Where to start with text mining T2 - The Stone and the Shell TI - Where to start with text mining UR - https://tedunderwood.com/2012/08/14/where-to-start-with-text-mining/ ID - 2533 ER - TY - JOUR AB - Question Is Google Scholar superior in literature search compared to the Web of Science? Location The Internet. Methods The maximum number of papers dealing with specific subjects was derived from a published review and compared with Google Scholar and Web of Science search results using GLM and a post-hoc test. Results Search results acquired through Google Scholar were not significantly different from the maximum number of papers found by manual search, while the Web of Science search delivered significantly less. Conclusion Researchers should give more prominent recognition to Google Scholar as a search tool, especially when conducting quantative reviews and meta-analysis. AU - Beckmann, Michael AU - von Wehrden, Henrik DA - 2012/12// DO - 10.1111/j.1654-1103.2012.01454.x IS - 6 L1 - internal-pdf://1402586708/Beckmann-2012-Where you search is what you get.pdf PY - 2012 SN - 1100-9233 SP - 1197-1199 ST - Where you search is what you get: literature mining - Google Scholar versus Web of Science using a data set from a literature search in vegetation science T2 - Journal of Vegetation Science TI - Where you search is what you get: literature mining - Google Scholar versus Web of Science using a data set from a literature search in vegetation science UR - http://onlinelibrary.wiley.com/store/10.1111/j.1654-1103.2012.01454.x/asset/jvs1454.pdf?v=1&t=itiqbazq&s=1221f33ac5a51f046c8b8836830b2df9654d028f VL - 23 ID - 1905 ER - TY - JOUR AB - Computational Biology needs computer- readable information records. Increasingly, meta-analysed and pre-digested information is being used in the follow up of high throughput experiments and other investigations that yield massive data sets. Semantic enrichment of plain text is crucial for computer aided analysis. In general people will think about semantic tagging as just another form of text mining, and that term has quite a negative connotation in the minds of some biologists who have been disappointed by classical approaches of text mining. Efforts so far have tried to develop tools and technologies that retrospectively extract the correct information from text, which is usually full of ambiguities. Although remarkable results have been obtained in experimental circumstances, the wide spread use of information mining tools is lagging behind earlier expectations. This commentary proposes to make semantic tagging an integral process to electronic publishing. AU - Mons, B. DA - 2005/06/07/ DO - 10.1186/1471-2105-6-142 PY - 2005 SN - 1471-2105 SP - 142 ST - Which gene did you mean? T2 - Bmc Bioinformatics TI - Which gene did you mean? VL - 6 ID - 1981 ER - TY - JOUR AB - OBJECTIVE: To describe the sources of internal company documents used in public health and healthcare research. METHODS: We searched PubMed and Embase for articles using internal company documents to address a research question about a health-related topic. Our primary interest was where authors obtained internal company documents for their research. We also extracted information on type of company, type of research question, type of internal documents, and funding source. RESULTS: Our searches identified 9,305 citations of which 357 were eligible. Scanning of reference lists and consultation with colleagues identified 4 additional articles, resulting in 361 included articles. Most articles examined internal tobacco company documents (325/361; 90%). Articles using documents from pharmaceutical companies (20/361; 6%) were the next most common. Tobacco articles used documents from repositories; pharmaceutical documents were from a range of sources. Most included articles relied upon internal company documents obtained through litigation (350/361; 97%). The research questions posed were primarily about company strategies to promote or position the company and its products (326/361; 90%). Most articles (346/361; 96%) used information from miscellaneous documents such as memos or letters, or from unspecified types of documents. When explicit information about study funding was provided (290/361 articles), the most common source was the US-based National Cancer Institute. We developed an alternative and more sensitive search targeted at identifying additional research articles using internal pharmaceutical company documents, but the search retrieved an impractical number of citations for review. CONCLUSIONS: Internal company documents provide an excellent source of information on health topics (e.g., corporate behavior, study data) exemplified by articles based on tobacco industry documents. Pharmaceutical and other industry documents appear to have been less used for research, indicating a need for funding for this type of research and well-indexed and curated repositories to provide researchers with ready access to the documents. AU - Wieland, L. Susan AU - Rutkow, Lainie AU - Vedula, S. Swaroop AU - Kaufmann, Christopher N. AU - Rosman, Lori M. AU - Twose, Claire AU - Mahendraratnam, Nirosha AU - Dickersin, Kay DA - 2014 DO - 10.1371/journal.pone.0094709 IS - 5 J2 - PLoS One KW - *Industry Biomedical Research/*methods Data Mining/*methods Public Health/*methods PubMed/*utilization Records as Topic LA - eng PY - 2014 SN - 1932-6203 1932-6203 SP - e94709 ST - Who has used internal company documents for biomedical and public health research and where did they find them? T2 - PloS one TI - Who has used internal company documents for biomedical and public health research and where did they find them? VL - 9 ID - 317 ER - TY - CONF AB - The active learning (AL) framework is an increasingly popular strategy for reducing the amount of human labeling effort required to induce a predictive model. Most work in AL has assumed that a single, infallible oracle provides labels requested by the learner at a fixed cost. However, real-world applications suitable for AL often include multiple domain experts who provide labels of varying cost and quality. We explore this multiple expert active learning (MEAL) scenario and develop a novel algorithm for instance allocation that exploits the meta-cognitive abilities of novice (cheap) experts in order to make the best use of the experienced (expensive) annotators. We demonstrate that this strategy outperforms strong baseline approaches to MEAL on both a sentiment analysis dataset and two datasets from our motivating application of biomedical citation screening. Furthermore, we provide evidence that novice labelers are often aware of which instances they are likely to mislabel. Copyright SIAM. AU - Wallace, Byron C. AU - Small, Kevin AU - Brodley, Carla E. AU - Trikalinos, Thomas A. C3 - 11th SIAM International Conference on Data Mining, SDM 2011, April 28, 2011 - April 30, 2011 DA - 2011 KW - Algorithms Cost accounting data mining N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Society for Industrial and Applied Mathematics PY - 2011 SP - 176-187 ST - Who should label what? instance allocation in multiple expert active learning T3 - Proceedings of the 11th SIAM International Conference on Data Mining, SDM 2011 TI - Who should label what? instance allocation in multiple expert active learning ID - 928 ER - TY - JOUR AB - Motivation: To survive and succeed, FLOSS projects need contributors able to accomplish critical project tasks. However, such tasks require extensive project experience of long term contributors (LTCs). Aim: We measure, understand, and predict how the newcomers' involvement and environment in the issue tracking system (ITS) affect their odds of becoming an LTC. Method: ITS data of Mozilla and Gnome, literature, interviews, and online documents were used to design measures of involvement and environment. A logistic regression model was used to explain and predict contributor's odds of becoming an LTC. We also reproduced the results on new data provided by Mozilla. Results: We constructed nine measures of involvement and environment based on events recorded in an ITS. Macro-climate is the overall project environment while micro-climate is person-specific and varies among the participants. Newcomers who are able to get at least one issue reported in the first month to be fixed, doubled their odds of becoming an LTC. The macro-climate with high project popularity and the micro-climate with low attention from peers reduced the odds. The precision of LTC prediction was 38 times higher than for a random predictor. We were able to reproduce the results with new Mozilla data without losing the significance or predictive power of the previously published model. We encountered unexpected changes in some attributes and suggest ways to make analysis of ITS data more reproducible. Conclusions: The findings suggest the importance of initial behaviors and experiences of new participants and outline empirically-based approaches to help the communities with the recruitment of contributors for long-term participation and to help the participants contribute more effectively. To facilitate the reproduction of the study and of the proposed measures in other contexts, we provide the data we retrieved and the scripts we wrote at https://www.passion-lab.org/projects/developerfluency.html. AU - Zhou, Minghui AU - Mockus, Audris DA - 2015/01// DO - 10.1109/TSE.2014.2349496 IS - 1 PY - 2015 SN - 0098-5589 SP - 82-99 ST - Who Will Stay in the FLOSS Community? Modeling Participant's Initial Behavior T2 - Ieee Transactions on Software Engineering TI - Who Will Stay in the FLOSS Community? Modeling Participant's Initial Behavior VL - 41 ID - 2210 ER - TY - CONF AB - By representing large corpora with concise and meaningful elements, topic-based generative models aim to reduce the dimension and understand the content of documents. Those techniques originally analyze on words in the documents, but their extensions currently accommodate meta-data such as authorship information, which has been proved useful for textual modeling. The importance of learning authorship is to extract author interests and assign authors to anonymous texts. Author-Topic (AT) model, an unsupervised learning technique, successfully exploits authorship information to model both documents and author interests using topic representations. However, the AT model simplifies that each author has equal contribution on multiple-author documents. To overcome this limitation, we assumes that authors give different degrees of contributions on a document by using a Dirichlet distribution. This automatically transforms the unsupervised AT model to Supervised Author-Topic (SAT) model, which brings a novelty of authorship prediction on anonymous texts. The SAT model outperforms the AT model for identifying authors of documents written by either single authors or multiple authors with a better Receiver Operating Characteristic (ROC) curve and a significantly higher Area Under Curve (AUC). The SAT model not only achieves competitive performance to state-of-the-art techniques e.g. Random forests but also maintains the characteristics of the unsupervised models for information discovery i.e. Word distributions of topics, author interests, and author contributions. AU - Pratanwanich, N. AU - Lio, P. C3 - 2014 IEEE International Conference on Data Mining Workshop (ICDMW), 14 Dec. 2014 DA - 2014 DO - 10.1109/ICDMW.2014.140 KW - Big data meta data text analysis unsupervised learning PB - IEEE Computer Society PY - 2014 SP - 645-52 ST - Who Wrote This? Textual Modeling with Authorship Attribution in Big Data T3 - 2014 IEEE International Conference on Data Mining Workshop (ICDMW) TI - Who Wrote This? Textual Modeling with Authorship Attribution in Big Data UR - http://dx.doi.org/10.1109/ICDMW.2014.140 ID - 1205 ER - TY - CONF AB - Summary form only given. In this session you will learn: to leverage semantic technology to bring information and intelligence from around the Web, inside your operation. Semantic technology can improve on your traditional data management methods through better data identification, classification, mapping and evaluation. Semantic Web technology can provide a window into how people, places, things and events come together into both threats and opportunities, adding a semantic layer to your existing intelligence platform supports the strategic process of intelligence gathering and data analysis. Semantics can help in cyber security and threat detection with semantic-based classification, filtering, data mining, and meta-tagging to expose non-obvious relationships. AU - Sensidoni, G. C3 - 2011 European Intelligence and Security Informatics Conference, 12-14 Sept. 2011 DA - 2011 DO - 10.1109/EISIC.2011.89 KW - data analysis data mining pattern classification security of data Semantic Web PB - IEEE PY - 2011 SP - 9 ST - Who, What, When, Where and How: Semantics Help Connect the Dots T3 - 2011 European Intelligence and Security Informatics Conference TI - Who, What, When, Where and How: Semantics Help Connect the Dots UR - http://dx.doi.org/10.1109/EISIC.2011.89 ID - 1485 ER - TY - JOUR AB - Background Transcranial magnetic stimulation (TMS) has played an important role in the fields of psychiatry, neurology and neuroscience, since its emergence in the mid-1980s; and several high quality reviews have been produced since then. Most high quality reviews serve as powerful tools in the evaluation of predefined tendencies, but they cannot actually uncover new trends within the literature. However, special statistical procedures to ‘mine’ the literature have been developed which aid in achieving such a goal. Objectives This paper aims to uncover patterns within the literature on TMS as a whole, as well as specific trends in the recent literature on TMS for the treatment of depression. Methods Data mining and text mining. Results Currently there are 7299 publications, which can be clustered in four essential themes. Considering the frequency of the core psychiatric concepts within the indexed literature, the main results are: depression is present in 13.5% of the publications; Parkinson's disease in 2.94%; schizophrenia in 2.76%; bipolar disorder in 0.158%; and anxiety disorder in 0.142% of all the publications indexed in PubMed. Several other perspectives are discussed in the article. AU - Dias, Álvaro Machado AU - Mansur, Carlos Gustavo AU - Myczkowski, Martin AU - Marcolin, Marco DA - 2011/06/01/ DO - 10.1016/j.ajp.2011.03.003 DP - www.asianjournalofpsychiatry.com IS - 2 J2 - Asian Journal of Psychiatry KW - Depression Neuropsychiatry systematic review Text mining TMS L1 - internal-pdf://3279368498/Dias-2011-Whole field tendencies in transcrani.pdf LA - English PY - 2011 SN - 1876-2018, 1876-2026 SP - 107-112 ST - Whole field tendencies in transcranial magnetic stimulation T2 - Asian Journal of Psychiatry TI - Whole field tendencies in transcranial magnetic stimulation: A systematic review with data and text mining UR - /article/S1876-2018(11)00037-2/abstract http://www.ncbi.nlm.nih.gov/pubmed/23051076,%2023051076 http://www.asianjournalofpsychiatry.com/article/S1876-2018(11)00037-2/abstract http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1876201811000372/1-s2.0-S1876201811000372-main.pdf?_tid=7f55cc3e-8332-11e6-870c-00000aab0f01&acdnat=1474816539_fffeaf1aeb2a20fa3bc9c24ef36522a6 VL - 4 Y2 - 2016/09/24/20:46:43 ID - 2492 ER - TY - JOUR AB - While empirical studies of organic food consumption have centred primarily on European and North American countries, the amount of research occurring in Asian countries is increasing. This article describes the attributes, consequences, and values influencing consumer perceptions and adoption of organic rice in Taiwan, where rice is the major food. Based on a means-end chain (MEC) rationale, regulatory focus theory and self-construal theory, this article describes the attributes, consequences and values influencing Taiwanese consumer perceptions and adoption of organic rice. Using a questionnaire and a sample of 300 organic food shoppers in Taiwan, we applied the MEC technique in a different fashion via the proposed genetic algorithm-based fuzzy association mining rules (GFAMR) algorithm to depict the attribute-consequence-value links to purchasing organic rice. This study has at least two merits: (a) it is among the first integrating regulatory focus theory, self-construal theory and MEC to explore the reason why Taiwanese consumers purchase organic rice and (b) it introduces a new method to quantitatively deal with MEC analysis. The results show that the most important ultimate values are fun and enjoyment in life and security, which are in line with the promotion focus and prevention focus, respectively, of regulatory focus theory. Furthermore, we found three consumer segments related to organic rice: prevention focused housekeepers, promotion-focused egoists, and promotion-focused (meta-personal self) altruists. The different paths found in the results can also provide green companies and policy makers with more information about organic rice consumers, allowing them to craft better marketing and communication strategies by which to promote organic food. AU - Chen, Nai-Hua AU - Lee, Chi-Hsun AU - Huang, Chi-Tsun DA - 2015/11// DO - 10.1111/ijcs.12210 IS - 6 L1 - internal-pdf://2045826607/Chen-2015-Why buy organic rice_ genetic algori.pdf PY - 2015 SN - 1470-6423 SP - 692-707 ST - Why buy organic rice? genetic algorithm-based fuzzy association mining rules for means-end chain data T2 - International Journal of Consumer Studies TI - Why buy organic rice? genetic algorithm-based fuzzy association mining rules for means-end chain data UR - http://onlinelibrary.wiley.com.ezproxy.lib.vt.edu/store/10.1111/ijcs.12210/asset/ijcs12210.pdf?v=1&t=itir3d3k&s=c86519ea9b37968fa5e045d7769214de7c5a1a5f VL - 39 ID - 2203 ER - TY - JOUR AB - In competitive and dynamic contexts team members need to be creative to ensure that teams achieve high levels of performance and feel satisfied with their work. At the same time, team members need to have a shared understanding regarding relevant aspects related to task accomplishment and team interaction. In this study we investigate the mediating mechanisms of intra-group conflict and creativity in the relationship between shared mental models and team effectiveness (team performance and satisfaction). We tested our model in a sample of 161 teams (735 individuals) performing in a management simulation. We collected data at three time points. Our results suggest that high shared mental models are related to low levels of intra-group conflict, foster creativity, and in turn improve team performance and satisfaction. These findings contribute to a scarce thematic - the relationship between shared mental models and creativity - emphasizing the importance of a shared understanding for creativity and team effectiveness. AU - Santos, Catarina Marques AU - Uitdewilligen, Sjir AU - Passos, Ana Margarida DA - 2015/12// DO - 10.1111/caim.12129 IS - 4 PY - 2015 SN - 0963-1690 SP - 645-658 ST - Why is Your Team More Creative Than Mine? The Influence of Shared Mental Models on Intra-group Conflict, Team Creativity and Effectiveness T2 - Creativity and Innovation Management TI - Why is Your Team More Creative Than Mine? The Influence of Shared Mental Models on Intra-group Conflict, Team Creativity and Effectiveness VL - 24 ID - 2211 ER - TY - CONF AB - Determining the topic of a news video story (NVS) from its audio-visual footage is an important part of meta-data generation. In this paper we propose a news story topic modeling approach that takes advantage of online knowledge resources like Wikipedia to model the topic of a news story. A NVS is modeled as a distribution over several Wikipedia pages related to the story. The mapping of the NVS to a Wikipedia page table-of-contents (TOC) is also determined. The specific advantages of this topic modeling approach are. (1) The topic is interpretable as a weighted distribution over a set of semantically meaningful story title phrases instead of just being a collection of words. (2) It facilitates organizing news video stories as a taxonomy that captures several perspectives to the story. (3) The taxonomy facilitates exploration and non-linear search. Performance evaluations from an information extraction perspective validate the efficacy of the proposed topic modeling approach compared to TF-IDF and LDA based approaches on a large news video corpus. 2011 Springer-Verlag Berlin Heidelberg. AU - Roy, Sujoy AU - Mak, Mun-Thye AU - Wan, Kong Wah C3 - 17th Multimedia Modeling Conference, MMM 2011, January 5, 2011 - January 7, 2011 DA - 2011 DO - 10.1007/978-3-642-17829-0_39 KW - Information analysis Taxonomies N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Springer Verlag PY - 2011 SN - 03029743 SP - 411-420 ST - Wikipedia based news video topic modeling for information extraction T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - Wikipedia based news video topic modeling for information extraction UR - http://dx.doi.org/10.1007/978-3-642-17829-0_39 VL - 6524 LNCS ID - 1253 ER - TY - CONF AB - The proceedings contain 35 papers. The topics discussed include: PTC: proxies that transcode and cache in heterogeneous web client environments; an update-risk based approach to TTL estimation in web caching; semantic collaborative web caching; a stochastic approach for modeling and computing web communities; online and incremental mining of separately-grouped web access logs; a unified framework for web link analysis; applying the site information to the information retrieval from the web; evaluating and enhancing meta-search performance in digital libraries; evaluating and selecting web sources as external information resources of a data warehouse; a unified framework for clustering heterogeneous web objects; and ontology-based automatic classification for the web pages: design, implementation and evaluation. C3 - 3rd International Conference on Web Information Systems Engineering, WISE 2002, December 12, 2002 - December 14, 2002 DA - 2002 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2002 SP - Software-AG ST - WISE 2002 - Proceedings of the 3rd International Conference on Web Information Systems Engineering T3 - WISE 2002 - Proceedings of the 3rd International Conference on Web Information Systems Engineering TI - WISE 2002 - Proceedings of the 3rd International Conference on Web Information Systems Engineering ID - 551 ER - TY - CONF AB - Big data has become one of the key sources for valuable information and as information becomes larger it poses some computational challenge in finding a best possible solution for mining association rules and discovering patterns in data. Meta-heuristic algorithm when applied to mining association rules aims to find best possible rules from data without being stuck in local optimal. Example of meta-heuristics algorithm includes genetic algorithm and particle swarm optimization algorithm. Finding appropriate representation of various types of patterns using rough numerical values attributes is still a challenge because most association rules cannot be applied to numerical data without discretization which may lead to information loss. Mining numeric association rules is a hard optimization problem rather than being a discretization, thus, this paper proposes a new meta-heuristic algorithm which uses wolf search algorithm (WSA) for numeric association rule mining from rough values within tolerable ranges. 2016 IEEE. AU - Agbehadji, Israel Edem AU - Fong, Simon AU - Millham, Richard C3 - 2016 IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2016, July 5, 2016 - July 7, 2016 DA - 2016 DO - 10.1109/ICCCBDA.2016.7529549 KW - Algorithms Association rules Big data cloud computing data handling data mining Genetic algorithms Heuristic algorithms Information analysis Learning algorithms Optimization Particle swarm optimization (PSO) N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Institute of Electrical and Electronics Engineers Inc. PY - 2016 SP - 146-151 ST - Wolf search algorithm for numeric association rule mining T3 - Proceedings of 2016 IEEE International Conference on Cloud Computing and Big Data Analysis, ICCCBDA 2016 TI - Wolf search algorithm for numeric association rule mining UR - http://dx.doi.org/10.1109/ICCCBDA.2016.7529549 ID - 1587 ER - TY - JOUR AB - There is a trend towards automatic analysis of large amounts of literature in the biomedical domain. However, this can be effective only if the ambiguity in natural language is resolved. In this paper, the current state of research in word sense disambiguation (WSD) is reviewed. Several methods for WSD have already been proposed, but many systems have been tested only on evaluation sets of limited size. There are currently only very few applications of WSD in the biomedical domain. The current direction of research points towards statistically based algorithms that use existing curated data and can be applied to large sets of biomedical literature. There is a need for manually tagged evaluation sets to test WSD algorithms in the biomedical domain. WSD algorithms should preferably be able to take into account both known and unknown senses of a word. Without WSD, automatic metaanalysis of large corpora of text will be error prone. AU - Schuemie, M. J. AU - Kors, J. A. AU - Mons, B. DA - 2005/06// DO - 10.1089/cmb.2005.12.554 IS - 5 PY - 2005 SN - 1066-5277 SP - 554-565 ST - Word sense disambiguation in the biomedical domain: An overview T2 - Journal of Computational Biology TI - Word sense disambiguation in the biomedical domain: An overview VL - 12 ID - 2037 ER - TY - CONF AB - An expanding area of study regards the development of computing platforms able to provide easy online access to geographically distributed data collections with the aim of producing knowledge synthesis from that data. Computational grid technology can form a computing infrastructure which can assist in providing a platform for distributed computing. In this paper is presented a case study to propose a Knowledge-Grid Workflow Management System as a middleware solution to develop a Knowledge Grid application. AU - Castellano, M. AU - Digregorio, C. C3 - KMIS 2009. 1st International Conference on Knowledge Management and Information Sharing, 6-8 Oct. 2009 DA - 2009 KW - data mining Grid computing Knowledge based systems middleware workflow management software PB - INSTICC Press PY - 2009 SP - 230-5 ST - A workflow based approach for knowledge grid application T3 - KMIS 2009. Proceedings of the 1st International Conference on Knowledge Management and Information Sharing TI - A workflow based approach for knowledge grid application ID - 705 ER - TY - CHAP AB - Background Background The impact of workplace interventions on the outcome of occupational asthma is not well-understood. Objectives Objectives To evaluate the effectiveness of workplace interventions on the outcome of occupational asthma. Search methods Search methods We searched the Cochrane Central Register of Controlled Trials (CENTRAL); MEDLINE; EMBASE; NIOSHTIC-2; CISDOC and HSELINE up to February 2011. Selection criteria Selection criteria Randomised controlled trials, controlled before and after studies and interrupted time series of workplace interventions for occupational asthma. Data collection and analysis Data collection and analysis Two authors independently assessed study eligibility and trial quality, and extracted data. Main results Main results We included 21 controlled before and after studies with 1447 participants that reported on 29 comparisons. In 15 studies, removal from exposure was compared with continued exposure. Removal increased the likelihood of reporting absence of symptoms (risk ratio (RR) 21.42, 95% confidence interval (CI) 7.20 to 63.77), improved forced expiratory volume (FEV1 %) (mean difference (MD) 5.52 percentage points, 95% CI 2.99 to 8.06) and decreased non-specific bronchial hyper-reactivity (standardised mean difference (SMD) 0.67, 95% CI 0.13 to 1.21). In six studies, reduction of exposure was compared with continued exposure. Reduction increased the likelihood of reporting absence of symptoms (RR 5.35, 95% CI 1.40 to 20.48) but did not affect FEV1 % (MD 1.18 percentage points, 95% CI -2.96 to 5.32). In eight studies, removal from exposure was compared with reduction of exposure. Removal increased the likelihood of reporting absence of symptoms (RR 39.16, 95% CI 7.21 to 212.83) but did not affect FEV1 % (MD 1.16 percentage points, 95% CI -7.51 to 9.84). Two studies reported that the risk of unemployment after removal from exposure was increased compared with reduction of exposure (RR 14.3, 95% CI 2.06 to 99.16). Three studies reported loss of income of about 25% after removal from exposure. Overall the quality of the evidence was very low. Authors' conclusions Authors' conclusions There is very low-quality evidence that removal from exposure improves asthma symptoms and lung function compared with continued exposure. Reducing exposure also improves symptoms, but seems not as effective as complete removal. However, removal from exposure is associated with an increased risk of unemployment, whereas reduction of exposure is not. The clinical benefit of removal from exposure or exposure reduction should be balanced against the increased risk of unemployment. We need better studies to identify which interventions intended to reduce exposure give most benefit. AU - de Groene, Gerda J. AU - Pal, Teake M. AU - Beach, Jeremy AU - Tarlo, Susan M. AU - Spreeuwers, Dick AU - Frings-Dresen, Monique H. W. AU - Mattioli, Stefano AU - Verbeek, Jos H. DP - Wiley Online Library LA - en PB - John Wiley & Sons, Ltd PY - 2011 ST - Workplace interventions for treatment of occupational asthma T2 - Cochrane Database of Systematic Reviews TI - Workplace interventions for treatment of occupational asthma UR - http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006308.pub3/abstract http://onlinelibrary.wiley.com/doi/10.1002/14651858.CD006308.pub3/full Y2 - 2016/09/18/20:15:38 ID - 433 ER - TY - JOUR AB - Background and Aims: Working conditions are an important health determinant. Employment factors can negatively affect mental health (MH), but there is little research on MH risk factors in male-dominated industries (MDI). Method: A systematic review of risk factors for anxiety and depression disorders in MDI was undertaken. MDI comprised >/= 70% male workers and included agriculture, construction, mining, manufacturing, transport and utilities. Major electronic databases (CINAHL, Cochrane Library, Informit, PsycINFO, PubMed and Scopus) were searched. Each study was categorised according to National Health and Medical Research Council's hierarchy of evidence and study quality was assessed according to six methodological criteria. Results: Nineteen studies met the inclusion criteria. Four categories of risk were identified: individual factors, team environment, work conditions and work-home interference. The main risk factors associated with anxiety and depression in MDI were poor health and lifestyles, unsupportive workplace relationships, job overload and job demands. Some studies indicated a higher risk of anxiety and depression for blue-collar workers. Conclusion: Substantial gaps exist in the evidence. Studies with stronger methodologies are required. Available evidence suggests that comprehensive primary, secondary and tertiary prevention approaches to address MH risk factors in MDI are necessary. There is a need for organisationally focused workplace MH policies and interventions. AU - Battams, Samantha AU - Roche, Ann M. AU - Fischer, Jane A. AU - Lee, Nicole K. AU - Cameron, Jacqui AU - Kostadinov, Victoria DA - 2014/01/01/ DO - 10.1080/21642850.2014.954579 IS - 1 J2 - Health Psychol Behav Med KW - anxiety depression male-dominated industry Risk Factors workplace L1 - internal-pdf://3080593845/Battams-2014-Workplace risk factors for anxiet.pdf LA - Eng PY - 2014 SN - 2164-2850 SP - 983-1008 ST - Workplace risk factors for anxiety and depression in male-dominated industries: a systematic review T2 - Health psychology and behavioral medicine TI - Workplace risk factors for anxiety and depression in male-dominated industries: a systematic review UR - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4346020/pdf/rhpb-2-983.pdf VL - 2 ID - 193 ER - TY - CONF AB - The proceedings contain 7 papers. The topics discussed include: research in concurrent software testing: a systematic review; deterministic replay for MCAPI programs; java replay for dependence-based debugging; practical verification of high-level dataraces in transactional memory programs; refactoring java programs using concurrent libraries; extending a distributed loop network to tolerate node failures; and executing association rule mining algorithms under a grid computing environment. C3 - 9th Workshop on Parallel and Distributed Systems: Testing, Analysis, and Debugging, PADTAD 2011, July 17, 2011 - July 17, 2011 DA - 2011 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Association for Computing Machinery PY - 2011 SP - IBM-Research; Intel ST - Workshop on Parallel and Distributed Systems: Testing, Analysis, and Debugging, PADTAD 2011 - Proceedings T3 - Workshop on Parallel and Distributed Systems: Testing, Analysis, and Debugging, PADTAD 2011 - Proceedings TI - Workshop on Parallel and Distributed Systems: Testing, Analysis, and Debugging, PADTAD 2011 - Proceedings ID - 493 ER - TY - CONF AB - The proceedings contain 53 papers. The topics discussed include: exploring the potential virtual worlds platforms for educational purposes; implementing a 3D virtual classroom simulation for teachers' continuing professional development; question generation to prompt internal self-conversation for meta-learning: taking presentation-based learning as an example; an approach for evaluating question posing ability in a web-based collaborative learning; an approach for evaluating question posing ability in a web-based collaborative learning; analysis of learners' activity in a question-posing learning support system by association rule mining; effects of online scaffolded student question-generation on science learning; multi-layer map-oriented learning environment for self-directed community-based learning; and effects of type of learning approach and prior knowledge on novices' motivation, self-efficacy, task anxiety and performance in learning scratch. C3 - 18th International Conference on Computers in Education, ICCE 2010, November 29, 2010 - December 3, 2010 DA - 2010 N1 -Compilation and indexing terms, Copyright 2016 Elsevier Inc.
PB - Faculty of Educational Studies PY - 2010 SP - Bantex-The Art of Filing; AVerMedia Information ST - Workshop Proceedings of the 18th International Conference on Computers in Education, ICCE 2010 T3 - Workshop Proceedings of the 18th International Conference on Computers in Education, ICCE 2010 TI - Workshop Proceedings of the 18th International Conference on Computers in Education, ICCE 2010 ID - 544 ER - TY - JOUR AB - The IR-style Web services discovery represents an important approach that applies proven techniques developed in the field of Information Retrieval (IR). Many studies exploited the Web Services Description Language (WSDL) syntax to extract useful service metadata for building indexes. However, a fundamental issue associated with this approach is the WSDL term tokenization. This paper proposes the application of three statistical methods for WSDL term tokenization-MDL, TP, and PPM. With the increasing need for effective IR-style Web services discovery facilities, term tokenization is of fundamental importance for properly indexing WSDL documents. We compare our applied methods with two baseline methods. The experiment suggests the superiority of MDL and PPM methods based on IR evaluation metrics. To the best of our knowledge, our work is the first to systematically investigate the issue of WSDL term tokenization for Web services discovery. Our solution can benefit source coding mining, in which a key step is to tokenize names (i.e. terms) of variables, functions, classes, modules, etc. for semantic analysis. Our methods could also be used for solving Web-related string tokenization problems such as URL analysis and Web scripts comprehension. [All rights reserved Elsevier]. AU - Chen, Wu DA - 2012/03/01/ DO - 10.1016/j.scico.2011.08.001 IS - 3 J2 - Science of Computer Programming KW - Computational linguistics data mining indexing information retrieval meta data source coding statistical analysis string matching Web services XML PY - 2012 SN - 0167-6423 SP - 355-74 ST - WSDL term tokenization methods for IR-style Web services discovery T2 - Science of Computer Programming TI - WSDL term tokenization methods for IR-style Web services discovery UR - http://dx.doi.org/10.1016/j.scico.2011.08.001 VL - 77 ID - 1226 ER - TY - JOUR AB - Data mining depends on the ability to access machine-readable metadata that describe genotypes, environmental conditions, and sampling times and strategy. This article presents Xeml Lab. The Xeml Interactive Designer provides an interactive graphical interface at which complex experiments can be designed, and concomitantly generates machine-readable metadata files. It uses a new eXtensible Mark-up Language (XML)-derived dialect termed XEML. Xeml Lab includes a new ontology for environmental conditions, called Xeml Environment Ontology. However, to provide versatility, it is designed to be generic and also accepts other commonly used ontology formats, including OBO and OWL. A review summarizing important environmental conditions that need to be controlled, monitored and captured as metadata is posted in a Wiki (http://www.codeplex.com/XeO) to promote community discussion. The usefulness of Xeml Lab is illustrated by two meta-analyses of a large set of experiments that were performed with Arabidopsis thaliana during 5 years. The first reveals sources of noise that affect measurements of metabolite levels and enzyme activities. The second shows that Arabidopsis maintains remarkably stable levels of sugars and amino acids across a wide range of photoperiod treatments, and that adjustment of starch turnover and the leaf protein content contribute to this metabolic homeostasis. AU - Hannemann, Jan AU - Poorter, Hendrik AU - Usadel, Bjorn AU - Blasing, Oliver E. AU - Finck, Alex AU - Tardieu, Francois AU - Atkin, Owen K. AU - Pons, Thijs AU - Stitt, Mark AU - Gibon, Yves DA - 2009/09//undefined DO - 10.1111/j.1365-3040.2009.01964.x IS - 9 J2 - Plant Cell Environ KW - *Information Storage and Retrieval *User-Computer Interface Arabidopsis/genetics/growth & development/*metabolism Environment Genotype L1 - internal-pdf://0000100669/Hannemann-2009-Xeml Lab_ a tool that supports.pdf LA - eng PY - 2009 SN - 1365-3040 0140-7791 SP - 1185-1200 ST - Xeml Lab: a tool that supports the design of experiments at a graphical interface and generates computer-readable metadata files, which capture information about genotypes, growth conditions, environmental perturbations and sampling strategy T2 - Plant, cell & environment TI - Xeml Lab: a tool that supports the design of experiments at a graphical interface and generates computer-readable metadata files, which capture information about genotypes, growth conditions, environmental perturbations and sampling strategy UR - http://onlinelibrary.wiley.com/store/10.1111/j.1365-3040.2009.01964.x/asset/j.1365-3040.2009.01964.x.pdf?v=1&t=itistq5z&s=382c7b0bf992d22fdb4d7c9b387f86cebabc0c7d VL - 32 ID - 236 ER - TY - JOUR AB - Intensified case finding is the regular screening for evidence of tuberculosis in people infected with HIV, at high risk of HIV, or living in congregate settings. We systematically reviewed studies of intensified case finding published between January, 1994, and April, 2009. In 78 eligible studies, the number of people with tuberculosis detected during intensified case finding varied substantially between countries and target groups of patients. Median prevalence of newly diagnosed tuberculosis was 0.7% in population-based surveys, 2.2% in contact-tracing studies, 2.3% in mines, 2.3% in programmes preventing mother-to-child transmission of HIV, 2.5% in prisons, 8.2% in medical and antiretroviral treatment clinics, and 8.5% in voluntary counselling and testing services. Metaregression analysis of studies that included only people with HIV showed that for each increment in national prevalence of tuberculosis of 100 cases per 100 000 population, intensified case finding identified an additional one case per 100 screened individuals (p=0.03). Microbiological sputum examination of all individuals without prior selection by symptom screening yielded an additional four cases per 100 individuals screened (p=0.05). Data on the use of serial screening, treatment outcomes in actively identified cases of tuberculosis, and cost-effectiveness, however, were lacking. Concerted action is needed to develop intensified case finding as an important method for control of tuberculosis. AU - Kranzer, Katharina AU - Houben, Rein M. G. J. AU - Glynn, Judith R. AU - Bekker, Linda-Gail AU - Wood, Robin AU - Lawn, Stephen D. DA - 2010/02// IS - 2 L1 - internal-pdf://0466647227/Kranzer-2010-Yield of HIV-associated tuberculo.pdf PY - 2010 SN - 1473-3099 SP - 93-102 ST - Yield of HIV-associated tuberculosis during intensified case finding in resource-limited settings: a systematic review and meta-analysis T2 - Lancet Infectious Diseases TI - Yield of HIV-associated tuberculosis during intensified case finding in resource-limited settings: a systematic review and meta-analysis UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S1473309909703263/1-s2.0-S1473309909703263-main.pdf?_tid=66f5de9c-833f-11e6-97ce-00000aacb35e&acdnat=1474822081_b3dae7db56d7a3254af7acc1ee528321 VL - 10 ID - 1917 ER - TY - JOUR AB - An important function of the self is to identify external objects that are potentially personally relevant. We suggest that such objects may be identified through mere ownership. Extant research suggests that encoding information in a self-relevant context enhances memory (the so-called 'self-reference effect'), thus an experiment was designed to test the impact of ownership on memory performance. Participants either moved or observed the movement of picture cards into two baskets; one of which belonged to self and one which belonged to another participant. A subsequent recognition test revealed that there was a significant memory advantage for objects that were owned by self. Acting on items (i.e., moving them) had no impact on memory. Results are discussed with reference to the importance of self-object associations in cognition. (C) 2007 Elsevier Inc. All rights reserved. AU - Cunningham, Sheila J. AU - Turk, David J. AU - Macdonald, Lynda M. AU - Macrae, C. Neil DA - 2008/03// DO - 10.1016/j.concog.2007.04.003 IS - 1 L1 - internal-pdf://2608170411/Cunningham-2008-Yours or mine_ Ownership and m.pdf PY - 2008 SN - 1053-8100 SP - 312-318 ST - Yours or mine? Ownership and memory T2 - Consciousness and Cognition TI - Yours or mine? Ownership and memory UR - http://ac.els-cdn.com.ezproxy.lib.vt.edu/S105381000700030X/1-s2.0-S105381000700030X-main.pdf?_tid=979054b4-8331-11e6-bcbd-00000aacb361&acdnat=1474816150_4ad34ddad2478a8a37e3ba33ce302229 VL - 17 ID - 2124 ER - TY - JOUR AB - Zn-rich chromite is an extremely rare detrital constituent in gold-bearing meta-conglomerates of the Paleoproterozoic Tarkwaian Group of Ghana. Electron-microprobe analyses of the chromite give a mean Zn content of 13.30 wt.% ZnO, with the general formula (Fe0.64Zn0.36)(Sigma 1.00)(Cr1.45Al0.33Fe0.22)O-4. The highest measured Zn content, 19.42 wt.% ZnO, yields the structural formula (Zn0.51Fe0.49)(Sigma 1.00)(Cr1.12Al0.68Fe0.20)(Sigma 2.00)O-4, which corresponds to an (Fe,Al)-rich zincochromite. Reflectance values for this composition, measured between 400 and 700 nm in air, decrease steadily from 17.0 to 14.6% with increasing Zn content. The chemical data demonstrate a large field of solid solution between chromite and zincochromite, and an extended miscibility gap in the system (Zn,Fe)Cr2O4 - ZnFe2O4 - ZnAl2O4, at least above 50 at.% (Zn,Fe)Cr2O4. The origin of the Zn-rich chromite at Tarkwa is uncertain. In the paleosource area of the Tarkwaian conglomerates, a few examples of ultramafic rocks are known, but these carry Zn-poor chromite. AU - Weiser, T. W. AU - Hirdes, W. DA - 1997/06// PY - 1997 SN - 0008-4476 SP - 587-595 ST - Zinc-rich chromite from Paleoproterozoic conglomerates at Tarkwa gold mine, Ghana T2 - Canadian Mineralogist TI - Zinc-rich chromite from Paleoproterozoic conglomerates at Tarkwa gold mine, Ghana VL - 35 ID - 2084 ER -