@inbook {16960,
	title = {An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data},
	booktitle = {Flexible Query Answering SystemsFlexible Query Answering Systems},
	series = {Lecture Notes in Computer Science},
	volume = {2522},
	year = {2002},
	month = {2002///},
	pages = {240 - 250},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	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.},
	isbn = {978-3-540-00074-7},
	url = {http://dx.doi.org/10.1007/3-540-36109-X_19},
	author = {Keogh,Eamonn and Hochheiser,Harry and Shneiderman, Ben},
	editor = {Carbonell,Jaime and Siekmann,J{\"o}rg and Andreasen,Troels and Christiansen,Henning and Motro,Amihai and Legind Larsen,Henrik}
}
