DocumentCode
2120277
Title
Vizpicious: A Visual User-Adaptive Tool for Communication Logs Analysis and Suspicious Behavior Detection
Author
Bennamane, A. ; Hacid, H. ; Ansiaux, A. ; Cagnati, A.
Author_Institution
Bell Labs., Alcatel-Lucent, Nozay, France
Volume
1
fYear
2012
fDate
4-7 Dec. 2012
Firstpage
641
Lastpage
642
Abstract
Extracting useful facts from large datasets has always been a challenging and critical issue for both research and industry. We present Vizpicious, a tool which borrows some ideas from social network analysis and semantic web to help investigators with such tasks, with a simple to use interface supporting them from the data integration phase until the analysis and the extraction of useful facts, and then provides more complex querying-based analysis capabilities.
Keywords
data analysis; data integration; data visualisation; query processing; semantic Web; social networking (online); user interfaces; Vizpicious; communication log analysis; complex querying-based analysis capabilities; data integration phase; semantic Web; social network analysis; suspicious behavior detection; visual user-adaptive tool; Graph visualization; Social networks; Visual analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on
Conference_Location
Macau
Print_ISBN
978-1-4673-6057-9
Type
conf
DOI
10.1109/WI-IAT.2012.241
Filename
6511955
Link To Document