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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2409337