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An augmented visual query mechanism for finding patterns in time series data (2002)
| Content Provider | CiteSeerX |
|---|---|
| Author | Hochheiser, Harry Keogh, Eamonn Shneiderman, Ben |
| Description | In Proc. of the 5th International Conference on Flexible Query Answering Systems |
| Abstract | Abstract. Relatively few query tools exist for data exploration and pattern identifi-cation in time series data sets. In previous work we introduced Timeboxes. Time-boxes 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 sup-port for query-by-example. In this paper, we extend our work by introducing Vari-able 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. 1 |
| File Format | |
| Publisher Date | 2002-01-01 |
| Access Restriction | Open |
| Subject Keyword | Query Result Expressive Query Time Axis Vari-able Time Timeboxes Data Exploration Several Data Set Dynamic Query Drag-and-drop Sup-port Augmented Visual Query Mechanism Natural Generalization Direct-manipulation Query Query Tool Interactive Exploration Time Series Data Pattern Identifi-cation Time Series Data Set Time-series Datasets |
| Content Type | Text |
| Resource Type | Conference Proceedings Article |
