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dc.contributor.advisorShneiderman, Benen_US
dc.contributor.advisorPlaisant, Catherineen_US
dc.contributor.authorChintalapani, Gouthamien_US
dc.date.accessioned2004-06-04T05:44:44Z
dc.date.available2004-06-04T05:44:44Z
dc.date.issued2004-05-12en_US
dc.identifier.urihttp://hdl.handle.net/1903/1459
dc.description.abstractTreemap is an interactive graphical technique for visualizing large hierarchical information spaces using nested rectangles in a space filling manner. The size and color of the rectangles show data attributes and enable users to spot trends, patterns or exceptions. Current implementations of treemaps help explore time-invariant data. However, many real-world applications require monitoring hierarchical, time-variant data. This thesis extends treemaps to interactively explore time series data by mapping temporal changes to color attribute of treemaps. Specific contributions of this thesis include: · Temporal treemaps for exploring time series data through visualizing absolute or relative changes, animating them over time, filtering data items, and discovering trends using time series graphs. · The design and implementation of extensible software modules based on systems engineering methodologies and object-oriented approach. · Validation through five case studies: health statistics, web logs, production data, birth statistics, and help-desk tickets; future improvements identified from the user feedback.en_US
dc.format.extent10877570 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleTemporal Treemaps for Visualizing Time Series Dataen_US
dc.typeThesisen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentSystems Engineeringen_US
dc.subject.pqcontrolledEngineering, System Scienceen_US
dc.subject.pquncontrolledtreemapsen_US
dc.subject.pquncontrolledtime seriesen_US
dc.subject.pquncontrolledhierarchyen_US
dc.subject.pquncontrolledvisualizationen_US


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