An augmented visual query mechanism for finding patterns in time series data

被引:0
|
作者
Keogh, E [1 ]
Hochheiser, H
Shneiderman, B
机构
[1] Univ Calif Riverside, Dept Comp Sci & Engn, Riverside, CA 92521 USA
[2] Univ Maryland, Human Comp Interact Lab, Dept Comp Sci, College Pk, MD 20742 USA
[3] Univ Maryland, Inst Adv Comp Studies, College Pk, MD 20742 USA
[4] Univ Maryland, Syst Res Inst, College Pk, MD 20742 USA
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Relatively few query tools exist for data exploration and pattern identification in time series data sets. In previous work we introduced Time-boxes. Timeboxes are rectangular, direct-manipulation queries for studying time-series datasets. We demonstrated how Timeboxes can be used to support interactive exploration via dynamic queries, along with overviews of query results and drag-and-drop support for query-by-example. In this paper, we extend our work by introducing Variable Time Timeboxes (VTT). VTTs are a natural generalization of Timeboxes, which permit the specification of queries that allow a degree of uncertainty in the time axis. We carefully motivate the need for these more expressive queries, and demonstrate the utility of our approach on several data sets.
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页码:240 / 250
页数:11
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