• DocumentCode
    1971421
  • Title

    Survey of information visualization techniques for exploitation in KDD

  • Author

    Ltifi, Hela ; Ayed, Mounir Ben ; Alimi, Adel M. ; Lepreux, Sophie

  • Author_Institution
    Res. Group on Intell. Machines, Univ. of Sfax, Sfax
  • fYear
    2009
  • fDate
    10-13 May 2009
  • Firstpage
    218
  • Lastpage
    225
  • Abstract
    The last years witnessed a continued growth of the amount of data. The data analysis and exploration has become more and more difficult. So, it seems important to find means to visually represent this flood of data. Information visualization can help any user to get and understand information efficiently and implicate him/her in the data mining process thanks to our perception possibilities. The visualization domain proposes a large number of information visualization techniques which have been developed over the last decade to support the exploration of large data sets. In this paper, we propose a classification of information visualization techniques. We present also each technique, its advantages and disadvantages.
  • Keywords
    data analysis; data mining; data visualisation; Knowledge Discovery from Data; data analysis; data exploration; data mining process; information visualization; Data analysis; Data engineering; Data mining; Data visualization; Floods; Humans; Information analysis; Machine intelligence; Pattern analysis; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications, 2009. AICCSA 2009. IEEE/ACS International Conference on
  • Conference_Location
    Rabat
  • Print_ISBN
    978-1-4244-3807-5
  • Electronic_ISBN
    978-1-4244-3806-8
  • Type

    conf

  • DOI
    10.1109/AICCSA.2009.5069328
  • Filename
    5069328