• DocumentCode
    1844538
  • Title

    Web Co-clustering of Usage Network Using Tensor Decomposition

  • Author

    Zhou, Qingbiao ; Xu, Guangdong ; Zong, Yu

  • Volume
    3
  • fYear
    2009
  • fDate
    15-18 Sept. 2009
  • Firstpage
    311
  • Lastpage
    314
  • Abstract
    Web clustering is an approach to aggregate web objects into various categories according to underlying relationships among them. Finding co-clusters of web objects is an emerging topic in the context of web usage mining. In this paper we will present an algorithm using tensor decomposition to co-cluster web objects based on analysis of user navigational tasks. The usage data of users visiting web sites is collected as experimental data to construct the usage network and validate the presented method. Experimental results have demonstrated the proposed method can clearly reveal the aggregations of web objects as a result of different navigational tasks.
  • Keywords
    Algorithm design and analysis; Clustering algorithms; Data mining; Intelligent agent; Intelligent networks; Knowledge management; Navigation; Pattern analysis; Tensile stress; Web pages; Co-Clusters; Tensor Decomposition; Usage Network; Web Clustering;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
  • Conference_Location
    Milan, Italy
  • Print_ISBN
    978-0-7695-3801-3
  • Electronic_ISBN
    978-1-4244-5331-3
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2009.290
  • Filename
    5285067