• DocumentCode
    2486635
  • Title

    Improvement of Feature Extraction in Web Page Classification

  • Author

    Jiao Lijuan ; Feng Liping

  • Author_Institution
    Dept. of Comput. Sci., Xinzhou Teachers Univ., Xinzhou, China
  • fYear
    2010
  • fDate
    22-23 May 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Mutual information formula is improved by using the hyperlink factor in this paper. Introduction of hyperlink elements of web pages can improve the classification accuracy in feature selection method based on mutual information and correlation by experiment, especially for those of strong. So the improvement is effective in web page classification.
  • Keywords
    Web sites; classification; feature extraction; Web page classification; feature extraction; feature selection; hyperlink factor; Computer science; Data mining; Electronic mail; Feature extraction; Frequency; Mutual information; Optimization methods; Relational databases; Text categorization; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Business and Information System Security (EBISS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5893-6
  • Electronic_ISBN
    978-1-4244-5895-0
  • Type

    conf

  • DOI
    10.1109/EBISS.2010.5473682
  • Filename
    5473682
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2486635