• DocumentCode
    3359342
  • Title

    Model based interactive analysis of interwoven, imprecise narratives: VAST 2010 mini challenge 1 award: Outstanding interaction model

  • Author

    Chen, V. ; Dunsmuir, D. ; Alimadadi, S. ; Lee, E. ; Guenther, J. ; Dill, J. ; Qian, Chengshan ; Shaw, C.D. ; Stone, M. ; Woodbury, R.

  • fYear
    2010
  • fDate
    25-26 Oct. 2010
  • Firstpage
    275
  • Lastpage
    276
  • Abstract
    CZSaw is a visual analytics tool for sense-making across entities, documents, and relations with a focus on supporting the analysis process. It uses a variety of flexible data visualizations to represent and explore networks of entities and relations from different perspectives. CZSaw supports clustering documents and entities into smaller groups to make sense of them and weave individual facts into a complete picture. CZSaw also provides entity refinement functions to support interactive data cleaning. Its dependency propagation mechanism speeds the analysis sense-making loop by automatically synchronizing data and views, and propagating changes to the whole system.
  • Keywords
    data analysis; data visualisation; document handling; pattern clustering; data cleaning; data visualization; dependency propagation mechanism; document clustering; interwoven; model based interactive analysis; sense making loop; visual analytics tool; Visual analytics; analysis process; intelligence analysis; investigative analysis; sense-making;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    978-1-4244-9488-0
  • Type

    conf

  • DOI
    10.1109/VAST.2010.5653060
  • Filename
    5653060