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An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data

dc.contributor.authorKeogh, Eamonnen_US
dc.contributor.authorHochheiser, Harryen_US
dc.contributor.authorShneiderman, Benen_US
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. (Also UMIACS-TR-2002-78) (Also HCI-TR-2002-15)en_US
dc.format.extent316751 bytes
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-4398en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-2002-78en_US
dc.titleAn Augmented Visual Query Mechanism for Finding Patterns in Time Series Dataen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US

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