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Interactive Pattern Search in Time Series
| Content Provider | CiteSeerX |
|---|---|
| Author | Paolo Buono, A. Bc, Aleks Aris Catherine Plaisant, B. Bc, Amir Khella Bc, Ben Shneiderman |
| Abstract | The need for pattern discovery in long time series data led researchers to develop algorithms for similarity search. Most of the literature about time series focuses on algorithms that index time series and bring the data into the main storage, thus providing fast information retrieval on large time series. This paper reviews the state of the art in visualizing time series, and focuses on techniques that enable users to interactively query time series. Then it presents TimeSearcher 2, a tool that enables users to explore multidimensional data using coordinated tables and graphs with overview+detail, filter the time series data to reduce the scope of the search, select an existing pattern to find similar occurrences, and interactively adjust similarity parameters to narrow the result set. This tool is an extension of previous work, TimeSearcher 1, which uses graphical timeboxes to interactively query time series data. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Time Series Interactive Pattern Search Long Time Series Data Time Series Data Multidimensional Data Enable User Graphical Timeboxes Overview Detail Fast Information Retrieval Coordinated Table Similarity Search Index Time Series Query Time Series Data Pattern Discovery Main Storage Adjust Similarity Parameter Large Time Series Query Time Series Similar Occurrence |
| Content Type | Text |
| Resource Type | Article |
