• DocumentCode
    2776246
  • Title

    Organization of Information for the Web Using Hierarchical Fuzzy Clustering Algorithm Based on Co-occurrence Networks

  • Author

    Zaidi, Faraz ; Melançon, Guy

  • Author_Institution
    LaBRI, INRIA Bordeaux Sud-Ouest, Bordeaux, France
  • Volume
    1
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    421
  • Lastpage
    424
  • Abstract
    In this paper, we present a Hierarchical Fuzzy Clustering algorithm which uses domain knowledge to automatically determine the number of clusters and their initial values. The algorithm is applied on a collection of web pages and the results are compared with existing algorithms in the literature.
  • Keywords
    Internet; data mining; fuzzy set theory; information retrieval; organisational aspects; pattern clustering; Web mining; Web page collection; co-occurrence networks; hierarchical fuzzy clustering algorithm; information retrieval; Fuzzy and Hierarchical Clustering; Information Retrieval; Web Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.86
  • Filename
    5616626
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2776246