Browsing by Author "Keogh, Eamonn"
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Item An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data(2002-09-18) Keogh, Eamonn; Hochheiser, Harry; Shneiderman, BenRelatively 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. (Also UMIACS-TR-2002-78) (Also HCI-TR-2002-15)Item An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data (2002)(2005) Keogh, Eamonn; Hochheiser, Harry; Shneiderman, Ben; ISRRelatively 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.