An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data
An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data
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Date
2002-09-18
Authors
Keogh, Eamonn
Hochheiser, Harry
Shneiderman, Ben
Advisor
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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
demonstrate the utility of our approach on several data sets.
(Also UMIACS-TR-2002-78)
(Also HCI-TR-2002-15)