Publikation:

Visual Exploration of Local Interest Points in Sets of Time Series

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2012

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Bernard, Jürgen
Ruppert, Tobias
Landesberger, Tatiana von
Bustos, Benjamin

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http://nbn-resolving.de/urn:nbn:de:bsz:352-225412
DOI (zitierfähiger Link)
https://doi.org/10.1109/VAST.2012.6400534
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2012 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE, 2012, pp. 239-240. ISBN 978-1-4673-4752-5. Available under: doi: 10.1109/VAST.2012.6400534

Zusammenfassung

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.

Zusammenfassung in einer weiteren Sprache

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004 Informatik

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2012 IEEE Conference on Visual Analytics Science and Technology (VAST), 14. Okt. 2012 - 19. Okt. 2012, Seattle, WA, USA
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ISO 690SHARALIEVA, Lyubka, Tobias SCHRECK, Franz WANNER, Jürgen BERNARD, Tobias RUPPERT, Tatiana von LANDESBERGER, Benjamin BUSTOS, 2012. Visual Exploration of Local Interest Points in Sets of Time Series. 2012 IEEE Conference on Visual Analytics Science and Technology (VAST). Seattle, WA, USA, 14. Okt. 2012 - 19. Okt. 2012. In: 2012 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE, 2012, pp. 239-240. ISBN 978-1-4673-4752-5. Available under: doi: 10.1109/VAST.2012.6400534
BibTex
@inproceedings{Sharalieva2012-10Visua-22541,
  year={2012},
  doi={10.1109/VAST.2012.6400534},
  title={Visual Exploration of Local Interest Points in Sets of Time Series},
  isbn={978-1-4673-4752-5},
  publisher={IEEE},
  booktitle={2012 IEEE Conference on Visual Analytics Science and Technology (VAST)},
  pages={239--240},
  author={Sharalieva, Lyubka and Schreck, Tobias and Wanner, Franz and Bernard, Jürgen and Ruppert, Tobias and Landesberger, Tatiana von and Bustos, Benjamin}
}
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