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Browsing Hierarchical Data with Multi-Level Dynamic Queries and Pruning

dc.contributor.advisorShneiderman, B.en_US
dc.contributor.authorKumar, Harsha P.en_US
dc.date.accessioned2007-05-23T10:01:07Z
dc.date.available2007-05-23T10:01:07Z
dc.date.issued1995en_US
dc.identifier.urihttp://hdl.handle.net/1903/5730
dc.description.abstractUsers often must browse hierarchies with thousands of nodes in search of those that best match their information needs. The tree-browser visualization tool was specified, designed and developed for this purpose. This tool presents trees in two tightly-coupled views, one a detailed view and the other an overview. Users can use dynamic queries, a method for rapidly filtering data, to filter nodes at each level of the tree. The dynamic query panels are user-customizable. Subtrees of unselected nodes are pruned out, leading to compact views of relevant nodes.<P>The software architecture, data structures and algorithms used to achieve this behavior are specified. Usability testing of the Tree-browser, done with 8 subjects, helped assess strengths and identify possible improvements. The Tree-browser was applied to the Network Management (600 nodes) and UniversityFinder (1100 nodes) application. Future research directions are suggested.en_US
dc.format.extent5719091 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; MS 1995-5en_US
dc.relation.ispartofseriesCSHCN; MS 1995-3en_US
dc.subjecthuman-computer interactionen_US
dc.subjectinformation visualizationen_US
dc.subjecttree visualizationen_US
dc.subjectSystems Integration Methodologyen_US
dc.titleBrowsing Hierarchical Data with Multi-Level Dynamic Queries and Pruningen_US
dc.typeThesisen_US
dc.contributor.departmentISRen_US
dc.contributor.departmentCSHCNen_US


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