An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data (2002)
| dc.contributor.author | Keogh, Eamonn | en_US |
| dc.contributor.author | Hochheiser, Harry | en_US |
| dc.contributor.author | Shneiderman, Ben | en_US |
| dc.contributor.department | ISR | en_US |
| dc.date.accessioned | 2007-05-23T10:16:35Z | |
| dc.date.available | 2007-05-23T10:16:35Z | |
| dc.date.issued | 2005 | en_US |
| dc.description.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. | en_US |
| dc.format.extent | 1136268 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1903/6495 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | ISR; TR 2005-32 | en_US |
| dc.title | An Augmented Visual Query Mechanism for Finding Patterns in Time Series Data (2002) | en_US |
| dc.type | Technical Report | en_US |
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