DocumentCode :
2409337
Title :
Integrative visual analytics for suspicious behavior detection
Author :
Bak, P. ; Rohrdantz, C. ; Leifert, S. ; Granacher, C. ; Koch, Stephan ; Butscher, S. ; Jungk, P. ; Keim, Daniel A.
Author_Institution :
Univ. of Konstanz, Konstanz, Germany
fYear :
2009
fDate :
12-13 Oct. 2009
Abstract :
In the VAST Challenge 2009 suspicious behavior had to be detected applying visual analytics to heterogeneous data, such as network traffic, social network enriched with geo-spatial attributes, and finally video surveillance data. This paper describes some of the awarded parts from our solution entry.
Keywords :
data mining; data visualisation; graphical user interfaces; video surveillance; geospatial attributes; heterogeneous data; integrative visual analytics; network traffic; social network; suspicious behavior detection; video surveillance data; Data analysis; Data mining; Data visualization; Graphical user interfaces; Information analysis; Information resources; Pattern analysis; Telecommunication traffic; Visual analytics; H.5.2 [Information Interfaces & Presentations]: User Interfaces - Graphical User Interfaces (GUI); I.3.6 [Methodology and Techniques]: Interaction Techniques;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology, 2009. VAST 2009. IEEE Symposium on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
978-1-4244-5283-5
Type :
conf
DOI :
10.1109/VAST.2009.5334430
Filename :
5334430
Link To Document :
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