• DocumentCode
    3474454
  • Title

    Automatically Classify Web Sites by Multimembership Bayesian Approach

  • Author

    Lo, Ssu-An ; Lee, Chong-Yen ; Hsu, Chun-Chieh

  • Author_Institution
    Dept. of Inf. Manage., Nat. Taiwan Univ. of Sci. & Technol.
  • fYear
    2006
  • fDate
    10-12 April 2006
  • Firstpage
    580
  • Lastpage
    583
  • Abstract
    A Web page has a lot of terms which describe the characteristics of a Web site. The multimembership Bayesian approach can used these terms to classify Web sites to a specific category accurately. In the paper, WSAHCS can effectively eliminate the noisy terms from the Web pages of a Web site, and refine the precision ratio of classifying the Chinese Web sites
  • Keywords
    Web sites; belief networks; classification; Chinese Web sites; Web pages; automatic Web site classification; multimembership Bayesian approach; Bayesian methods; Inference algorithms; Information management; Internet; Portals; Probability; Search engines; Signal to noise ratio; Support vector machines; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations, 2006. ITNG 2006. Third International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    0-7695-2497-4
  • Type

    conf

  • DOI
    10.1109/ITNG.2006.36
  • Filename
    1611661
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3474454