Schreck, Tobias ; Sharalieva, Lyubka ; Wanner, Franz ; Bernard, Jürgen ; Ruppert, Tobias ; Landesberger von Antburg, Tatiana ; Bustos, Benjamin (2012)
Visual Exploration of Local Interest Points in Sets of Time Series.
IEEE Conference on Visual Analytics Science and Technology 2012. Proceedings.
doi: 10.1109/VAST.2012.6400534
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Visual analysis of time series data is an important, yet challenging task with many application examples in fields such as financial or news stream data analysis. Many visual time series analysis approaches consider a global perspective on the time series. Fewer approaches consider visual analysis of local patterns in time series, and often rely on interactive specification of the local area of interest. We present initial results of an approach that is based on automatic detection of local interest points. We follow an overview-first approach to find useful parameters for the interest point detection, and details-on-demand to relate the found patterns. We present initial results and detail possible extensions of the approach.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Schreck, Tobias ; Sharalieva, Lyubka ; Wanner, Franz ; Bernard, Jürgen ; Ruppert, Tobias ; Landesberger von Antburg, Tatiana ; Bustos, Benjamin |
| Art des Eintrags: | Bibliographie |
| Titel: | Visual Exploration of Local Interest Points in Sets of Time Series |
| Sprache: | Englisch |
| Publikationsjahr: | 2012 |
| Verlag: | IEEE Press, New York |
| Veranstaltungstitel: | IEEE Conference on Visual Analytics Science and Technology 2012. Proceedings |
| DOI: | 10.1109/VAST.2012.6400534 |
| Kurzbeschreibung (Abstract): | Visual analysis of time series data is an important, yet challenging task with many application examples in fields such as financial or news stream data analysis. Many visual time series analysis approaches consider a global perspective on the time series. Fewer approaches consider visual analysis of local patterns in time series, and often rely on interactive specification of the local area of interest. We present initial results of an approach that is based on automatic detection of local interest points. We follow an overview-first approach to find useful parameters for the interest point detection, and details-on-demand to relate the found patterns. We present initial results and detail possible extensions of the approach. |
| Freie Schlagworte: | Business Field: Visual decision support, Research Area: Semantics in the modeling process, Research Area: Generalized digital documents, Forschungsgruppe Visual Search and Analysis (VISA), Data analysis, Time series data visualization |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 22 Jul 2021 18:31 |
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