Visual Exploration of Local Interest Points in Sets of Time Series

Zitieren

Dateien zu dieser Ressource

Dateien Größe Format Anzeige

Zu diesem Dokument gibt es keine Dateien.

SHARALIEVA, 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). 2012 IEEE Conference on Visual Analytics Science and Technology (VAST). Seattle, WA, USA, 14. Okt 2012 - 19. Okt 2012. IEEE, pp. 239-240. ISBN 978-1-4673-4752-5. Available under: doi: 10.1109/VAST.2012.6400534

@inproceedings{Sharalieva2012-10Visua-22541, title={Visual Exploration of Local Interest Points in Sets of Time Series}, year={2012}, doi={10.1109/VAST.2012.6400534}, 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} }

Wanner, Franz Ruppert, Tobias Schreck, Tobias 2012-10 Bustos, Benjamin Schreck, Tobias Bernard, Jürgen 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. deposit-license IEEE Conference on Visual Analytics Science & Technology 2012 : Seattle, Washington, USA, 14 - 19 October 2012 ; Proceedings / Giuseppe Santucci and Matthew Ward (eds.). - Piscataway, NJ : IEEE, 2012, S. 239-240. - ISBN 978-1-4673-4753-2 2013-03-25T08:13:52Z Sharalieva, Lyubka Bernard, Jürgen Sharalieva, Lyubka Visual Exploration of Local Interest Points in Sets of Time Series Wanner, Franz Landesberger, Tatiana von Bustos, Benjamin eng Landesberger, Tatiana von 2013-03-25T08:13:52Z Ruppert, Tobias

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto