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dc.contributor.authorHe, Binen_US
dc.date.accessioned2017-09-20T06:00:17Z
dc.date.available2017-09-20T06:00:17Z
dc.date.issued2016-03-28en_US
dc.identifier.othervt_gsexam:7170en_US
dc.identifier.urihttp://hdl.handle.net/10919/79141
dc.description.abstractThe amount of data is growing fast with the advance of data capturing and management technologies. However, data from different source are often isolated and not ready to be analyzed together as one data set. The effort of connecting pieces of isolated data into a unified data set is time consuming and often costly in terms of cognitive load and programming time. To address this problem, here we proposed an approach using machine learning to augment human intelligence in the data unification process, especially complex categorical data value unification. Many aspects of useful information are extracted from supervised machine learning models, then used to amplify intelligence of human experts in various aspects of the data unification process. An empirical study is performed applying the proposed methodology to the field of Asset Performance Management, specifically focus only on the performance of equipment asset. The experiments show that machine learning helps experts in the unification standard generation, unified value suggestion, batch data unification. We conclude that machine learning models contain valuable information that can facilitate the data unification process.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis Item is protected by copyright and/or related rights. Some uses of this Item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectMachine Learningen_US
dc.subjectPredictive Modelingen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectAsset Performance Managementen_US
dc.titleA Machine Learning Approach for Data Unification and Its Application in Asset Performance Managementen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Scienceen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineComputer Science and Applicationsen_US
dc.contributor.committeechairFan, Weiguo Patricken_US
dc.contributor.committeememberCao, Yangen_US
dc.contributor.committeememberNorth, Christopher L.en_US


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