Authors: Keogh, E., Hochheiser, H. and Shneiderman, B.

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

Conference: In the 5th International Conference on Flexible Query Answering Systems.

Year: 2002

Abstract: . Relatively 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 demon-strate the utility of our approach on several data sets.

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