• DocumentCode
    2218451
  • Title

    VAST to Knowledge: Combining tools for exploration and mining

  • Author

    Auvil, Loretta ; Llorà, Xavier ; Searsmith, Duane ; Searsmith, Kelly

  • Author_Institution
    Univ. of Illinois at Urbana-Champaign, Urbana
  • fYear
    2007
  • fDate
    Oct. 30 2007-Nov. 1 2007
  • Firstpage
    197
  • Lastpage
    198
  • Abstract
    The investigation of the VAST Contest collection provided a valuable test for text mining techniques. Our group has focused on creating analytical tools to unveil relevant patterns and to aid with the content navigation in such text collections. Our results show how such an approach, in combination with visualization techniques, can ease the discovery process especially when multiple tools founded on the same approach to data mining are used in complement to and in concert with one another.
  • Keywords
    data mining; data visualisation; text analysis; VAST; data mining; data visualization; knowledge discovery; knowledge exploration; text mining; visual analytics; Artificial intelligence; Automatic testing; Data mining; Data visualization; Electronic mail; Information analysis; Natural language processing; Navigation; Pattern analysis; Text mining; Text mining; digital libraries; information visualization; knowledge discovery; visual analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    978-1-4244-1659-2
  • Type

    conf

  • DOI
    10.1109/VAST.2007.4389015
  • Filename
    4389015
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2218451