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dc.contributor.authorSun, Maoyuanen_US
dc.date.accessioned2016-09-07T08:01:36Z
dc.date.available2016-09-07T08:01:36Z
dc.date.issued2016-09-06en_US
dc.identifier.othervt_gsexam:8722en_US
dc.identifier.urihttp://hdl.handle.net/10919/72890
dc.description.abstractExploring coordinated relationships is an important task in data analytics. For example, an intelligence analyst may want to find three suspicious people who all visited the same four cities. However, existing techniques that display individual relationships, such as between lists of entities, require repetitious manual selection and significant mental aggregation in cluttered visualizations to find coordinated relationships. This work presents a visual analytics approach that applies biclusters to support coordinated relationships exploration. Each computed bicluster aggregates individual relationships into coordinated sets. Thus, coordinated relationships can be formalized as biclusters. However, how to incorporate biclusters into a visual analytics tool to support sensemaking tasks is challenging. To address this, this work features three key contributions: 1) a five-level design framework for bicluster visualizations, 2) BiSet, highlighting bicluster-based edge bundling, seriation-based multiple lists ordering, and interactions for dynamic information foraging and management, and 3) an evaluation of BiSet.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.subjectvisual analyticsen_US
dc.subjectbiclustersen_US
dc.subjectcoordinated relationshipen_US
dc.subjectedge bundlingen_US
dc.titleVisual Analytics with Biclusters: Exploring Coordinated Relationships in Contexten_US
dc.typeDissertationen_US
dc.contributor.departmentComputer Scienceen_US
dc.description.degreePHDen_US
thesis.degree.namePHDen_US
thesis.degree.leveldoctoralen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineComputer Science and Applicationsen_US
dc.contributor.committeechairNorth, Christopher Len_US
dc.contributor.committeememberLuther, Kurten_US
dc.contributor.committeememberRiche, Nathalieen_US
dc.contributor.committeememberYao, Danfengen_US
dc.contributor.committeememberRamakrishnan, Narendranen_US


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