• 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