• DocumentCode
    2796258
  • Title

    Visualizing large scale patterns and anomalies in geospatial data: VAST 2012 Mini Challenge #1 award: Honorable mention for good visual design

  • Author

    Stark, Robert F. ; Wollocko, Arthur ; Borys, Michael ; Kierstead, Megan ; Farry, Michael

  • Author_Institution
    Charles River Analytics Inc.
  • fYear
    2012
  • fDate
    14-19 Oct. 2012
  • Firstpage
    271
  • Lastpage
    272
  • Abstract
    The Charles River Analytics solution to the VAST 2012 MiniChallenge 1 quickly gives a user insight into the overall health of a large computer network across the entire globe while simultaneously highlighting anomalies in the data that could indicate security threats. The interface is designed to convey geospatial and more detailed information without cognitive overload and to allow the user to quickly delve into details of anomalies as they discover them. Using an in-house application framework, we designed a single, integrated display that uses innovative geospatial visualization and data analysis tools to allow users to quickly and accurately understand overall system health and anomalies with minimal cognitive load.
  • Keywords
    Big data; clustering; data visualization; decision making; geospatial displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2012 IEEE Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4673-4752-5
  • Type

    conf

  • DOI
    10.1109/VAST.2012.6400521
  • Filename
    6400521