Multiscale time activity data exploration via temporal clustering visualization spreadsheet

Time-varying data is usually explored by animation or arrays of static images. Neither is particularly effective for classifying data by different temporal activities. Important temporal trends can be missed due to the lack of ability to find them with current visualization methods. In this paper, w...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on visualization and computer graphics. - 1996. - 15(2009), 1 vom: 05. Jan., Seite 123-37
1. Verfasser:	Woodring, Jonathan (VerfasserIn)
Weitere Verfasser:	Shen, Han-Wei
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2009
Zugriff auf das übergeordnete Werk:	IEEE transactions on visualization and computer graphics
Schlagworte:	Journal Article Research Support, U.S. Gov't, Non-P.H.S.