• DocumentCode
    2292369
  • Title

    biTemporal Session Reconstruction for Visited Sessions Retrieval

  • Author

    Elkilany, Ahmed Aburodes Assaid ; Petrounias, Ilias

  • Author_Institution
    Dept. of Comput. Sci., Sebha Univ., Sebha
  • fYear
    2008
  • fDate
    9-11 July 2008
  • Firstpage
    341
  • Lastpage
    346
  • Abstract
    Web mining is an intensive task which may yield significant insights that may revolutionise business and marketing by using effective information distribution, entertainment and communication techniques. For instance, corporations can optimise their eCommerce Websites to maximize impact and personalise the online content of their Websites. Corporations can use Web mining techniques for better understanding about their customers and thus will gain competitive edge by delivering the right information and services. This paper concentrates on reconstruction of visited session which was recorded in a Web log server. Existing approaches for reconstruction of users´ session deal only with the time when a user accesses every page, whereas, in this paper, each visited page is incorporated with a pair of ordered time points, which we call biTemporal. Re-produced sessions can be used latter in different ways such as personalization, sequential pattern discovery, etc.
  • Keywords
    Internet; Web sites; data mining; Web mining; biTemporal session reconstruction; eCommerce Websites; visited sessions retrieval; Computer science; Data analysis; Data mining; Finance; Information retrieval; Monitoring; Navigation; Stock markets; Visualization; Web mining; Information retrieval; biTemporal Sessions Retrieval; web mining; web usage mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation, 2008. IV '08. 12th International Conference
  • Conference_Location
    London
  • ISSN
    1550-6037
  • Print_ISBN
    978-0-7695-3268-4
  • Type

    conf

  • DOI
    10.1109/IV.2008.99
  • Filename
    4577970