• DocumentCode
    2164574
  • Title

    Visual Web Mining of Organizational Web Sites

  • Author

    Oosthuizen, C. ; Wesson, J. ; Cilliers, C.

  • Author_Institution
    Nelson Mandela Metropolitan Univ., Port Elizabeth
  • fYear
    2006
  • fDate
    5-7 July 2006
  • Firstpage
    395
  • Lastpage
    401
  • Abstract
    Existing Web usage mining (WUM) tools do not indicate which data mining algorithms are used or provide effective graphical visualizations of the results obtained. WUM techniques can be used to determine typical navigation patterns in an organizational Web site. The process of combining WUM and information visualization techniques in order to discover useful information about Web usage patterns is called visual Web mining. The goal of this paper is to discuss the development of a visual Web mining prototype, called WebPatterns, which allows the user to effectively visualize Web usage patterns
  • Keywords
    Web sites; data mining; data visualisation; pattern classification; Web usage mining tool; Web usage pattern; WebPatterns; data mining; graphical visualization; information visualization; organizational Web site; radial tree layout; visual Web mining; Africa; Data mining; Data visualization; Navigation; Pattern analysis; Prototypes; Statistical analysis; Testing; Web mining; Web server; data mining; information visualization; radial; tree layout; user testing.; visual web mining; web usage patterns;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualization, 2006. IV 2006. Tenth International Conference on
  • Conference_Location
    London, England
  • ISSN
    1550-6037
  • Print_ISBN
    0-7695-2602-0
  • Type

    conf

  • DOI
    10.1109/IV.2006.123
  • Filename
    1648291