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dc.contributor.authorKeogh, Eamonnen_US
dc.contributor.authorHochheiser, Harryen_US
dc.contributor.authorShneiderman, Benen_US
dc.date.accessioned2007-05-23T10:16:35Z
dc.date.available2007-05-23T10:16:35Z
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/1903/6495
dc.description.abstractRelatively few query tools exist for data exploration and pattern identification in time series data sets. In previous work we introduced Timeboxes. 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.en_US
dc.format.extent1136268 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 2005-32en_US
dc.titleAn Augmented Visual Query Mechanism for Finding Patterns in Time Series Data (2002)en_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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