@article {16961,
	title = {An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data (2002)},
	journal = {Institute for Systems Research Technical Reports},
	year = {2005},
	month = {2005///},
	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.},
	keywords = {Technical Report},
	url = {http://drum.lib.umd.edu/handle/1903/6495},
	author = {Keogh,Eamonn and Hochheiser,Harry and Shneiderman, Ben}
}
