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Home / programming language / Online Dotnet Projects / BiSet: Semantic Edge Bundling with Biclusters for Sensemaking
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BiSet: Semantic Edge Bundling with Biclusters for Sensemaking

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SKU: PROJ5160 Categories: 2016 Projects, 2015 Projects, Datamining Projects, Final Year Projects, Online Dotnet Projects Tags: academic projects, Android project 2013-2014, Android project 2015-2016, Android project list, btech projects, dotnet project 2013-2014, dotnet project 2015-2016, dotnet project list, elysium technologies abstract, elysium technologies chennai, elysium technologies coimbatore, elysium technologies company, elysium technologies courses, elysium technologies erode, elysium technologies inpant traning, elysium technologies internship, elysium technologies jobs, elysium technologies madurai, elysium technologies mou, elysium technologies pondychery, elysium technologies projectlist, elysium technologies projects, elysium technologies ramnad, elysium technologies salem, elysium technologies software, elysium technologies tirunelveli, elysium technologies trichy, Final Year Projects, java projects 2015-2016, madurai software company, matlab project 2013-2014, matlab project 2015-2016, matlab project list, mtech projects, phd research work, Php project 2013-2014, Php project 2015-2016, Php project list, Power Electronic project 2013-2014, Power Electronic project 2015-2016, Power Electronic project list, project center Bangalore, project center chennai, project center coimbatore, project center Erode, project center Hyderabad, project center Kollam, project center madurai, project center Pandicherry, project center ramnad, project center Salem, project center Tiruneveli, project center trichy, research center, Students Projects, Vlsi project 2013-2014, Vlsi project 2015-2016, Vlsi project list
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BiSet: Semantic Edge Bundling with Biclusters for Sensemaking

Abstract— Identifying coordinated relationships is an important task in data analytics. For example, an intelligence analyst might want to discover three suspicious people who all visited the same four cities. 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. We present BiSet, a visual analytics technique to support interactive exploration of coordinated relationships. In BiSet, we model coordinated relationships as biclusters and algorithmically mine them from a dataset. Then, we visualize the biclusters in context as bundled edges between sets of related entities. Thus, bundles enable analysts to infertask-oriented semantic insights about potentially coordinated activities. We make bundles as first class objects and add a new layer, “in-between”, to contain these bundle objects. Based on this, bundles serve to organize entities represented in lists and visually reveal their membership. Users can interact with edge bundles to organize related entities, and vice versa, for sensemaking purposes. With a usage scenario, we demonstrate < Final Year Projects 2016 > denote how BiSet supports the exploration of coordinated relationships in text analytics.

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