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Visual exploration of local interest points in sets of time series

 
: Schreck, Tobias; Sharalieva, Lyubka; Wanner, Franz; Bernard, Jürgen; Ruppert, Tobias; Landesberger, Tatiana von; Bustos, Benjamin

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Santucci, G. ; IEEE Computer Society; Institute of Electrical and Electronics Engineers -IEEE-, Technical Committee on Visualization and Graphics -TCVG-:
IEEE Conference on Visual Analytics Science & Technology, VAST 2012. Proceedings : 14-19 October 2012, Seattle, Washington
New York, NY: IEEE, 2012
ISBN: 978-1-4673-4752-5
ISBN: 978-1-4673-4753-2
S.239-240
Conference on Visual Analytics Science and Technology (VAST) <2012, Seattle/Wash.>
Englisch
Konferenzbeitrag
Fraunhofer IGD ()
data analysis; time series data visualization

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.

: http://publica.fraunhofer.de/dokumente/N-225836.html