• DocumentCode
    3131715
  • Title

    A Novel Web Authoritative Page Mining Algorithm Based on Association Analysis

  • Author

    Xiang-wei, Li ; Shuang-ping, Zhao

  • Author_Institution
    Dept. of Comput. Eng., Lanzhou Polytech. Coll., Lanzhou, China
  • fYear
    2011
  • fDate
    8-9 Oct. 2011
  • Firstpage
    136
  • Lastpage
    138
  • Abstract
    Internet server as a distributing global information service center which produced much amount of data every time or every day, it is a very urgent need to get interesting and important information from internet efficiently and timely to everyone of us. Web consists of not only the amount of page, but also the structure link and the used recorder, which contain much useful and important information such as custom access action, the quality of the Web page and similar user classification. The paper make use of the user access sequences to produce the vast forward path, by the preprocessing get the frequent access crunodes, then introduce association analysis method in data mining to generating the authoritative sites. Finally, the instance illustrated the affectivity and feasibility.
  • Keywords
    Internet; data analysis; data mining; pattern classification; Internet server; Web authoritative page mining algorithm; Web page quality; association analysis; data mining; user classification; Algorithm design and analysis; Association rules; Computers; Internet; Web mining; Web pages; association analysis; frequency access crunodes; vast forward path;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4577-1788-8
  • Type

    conf

  • DOI
    10.1109/KAM.2011.44
  • Filename
    6137598