• DocumentCode
    3175962
  • Title

    Research on intelligentzed webpage filtering technology based on data mining

  • Author

    Qi-Liang, Shu ; Li-ping, Zhao ; Xiao-Liang, Lai

  • Author_Institution
    Sub-Inst. of Sci. & Technol. & Art, Jingdezhen Ceramic Inst., Jingdezhen, China
  • fYear
    2010
  • fDate
    29-30 Oct. 2010
  • Firstpage
    742
  • Lastpage
    745
  • Abstract
    Through the research on data mining, especially web mining, in this thesis, we discuss its application of web information filtering. In order to design the practical, fast and effective filter methods, bad web page filter model is proposed based on probability and statistics and data mining technology, the design and implementation of the intelligent web information filtering engine, taken the engine achievement related technologies.
  • Keywords
    Web sites; data mining; information filtering; probability; statistical analysis; Web mining; data mining; intelligent Web information filtering engine; intelligent Web page filtering technology; probability; statistics; Data mining; Information filters; Monitoring; Real time systems; USA Councils; Data Mining; Intelligent; Webpage Filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Education (ICAIE), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-6935-2
  • Type

    conf

  • DOI
    10.1109/ICAIE.2010.5641490
  • Filename
    5641490