• DocumentCode
    2483926
  • Title

    A New Web Usage Mining and Visualization Tool

  • Author

    Labroche, Nicolas ; Lesot, Marie-Jeanne ; Yaffi, Lionel

  • Author_Institution
    Univ. Pierre et Marie Curie-Paris6, Paris
  • Volume
    1
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    321
  • Lastpage
    328
  • Abstract
    This paper introduces a new tool for web usage mining and visualization that relies on the bio-mimetic relational clustering algorithm Leader Ant and the definition of prototypes based on typicality computation to produce an efficient visualization of the activity of users on a website. The tool is evaluated on a real web log file from the French museum of Bourges website and shows that it can easily produce meaningful visualizations of typical user navigation.
  • Keywords
    Web sites; data mining; French museum of Bourges Website; Web log file; Web usage mining; biomimetic relational clustering algorithm; users activity visualization; Artificial intelligence; Clustering methods; Data mining; Data visualization; Information filtering; Information filters; Navigation; Prototypes; Tree graphs; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
  • Conference_Location
    Patras
  • ISSN
    1082-3409
  • Print_ISBN
    978-0-7695-3015-4
  • Type

    conf

  • DOI
    10.1109/ICTAI.2007.102
  • Filename
    4410301