• DocumentCode
    17106
  • Title

    Clique: Situational Awareness through Behavior

  • Author

    Best, Daniel M. ; Cox, B. Ann

  • Volume
    17
  • Issue
    4
  • fYear
    2015
  • fDate
    July-Aug. 2015
  • Firstpage
    66
  • Lastpage
    68
  • Abstract
    Clique, a visual analytic environment for transactional data, uses statistical behavior models to highlight anomalies. By leveraging a behavioral algorithm, Clique can help data analysts gain awareness into large, time-varying, and streaming datasets such as network flow. Through behavioral- and anomaly-detection techniques, applications provide insight into the nature of activity through visual representations of typical and atypical patterns. Insight gained via behavior algorithms can then act as jump-off points into further investigation.
  • Keywords
    data analysis; data visualisation; statistical analysis; Clique visual analytic environment; anomaly-detection techniques; behavioral algorithm; behavioral-detection techniques; pattern representation; situational awareness; statistical behavior models; transactional data; visual representation; Advertising; Data models; Data visualization; Electronic mail; Facsimile; Terrorism; US Government; behavioral algorithms; data analysis; transactional data;
  • fLanguage
    English
  • Journal_Title
    IT Professional
  • Publisher
    ieee
  • ISSN
    1520-9202
  • Type

    jour

  • DOI
    10.1109/MITP.2015.57
  • Filename
    7160877