• DocumentCode
    1804693
  • Title

    A method for web documents clustering based on dynamic concept

  • Author

    Wang, Yunhua ; Ke, Huiyan

  • Author_Institution
    Sch. of Comput., Wuhan Univ., Wuhan, China
  • Volume
    4
  • fYear
    2011
  • fDate
    24-26 Dec. 2011
  • Firstpage
    2183
  • Lastpage
    2187
  • Abstract
    Conceptual clustering can be used to solve the lack of domain knowledge or incompleteness. According to the organizational structure and characteristics of web documents subject information, and based on the conceptual clustering techniques, the paper proposes and implements the dynamic concept clustering algorithm and merge algorithm for web documents clustering, and proves the superiority of these algorithms by analyzing the efficiency and clustering accuracy.
  • Keywords
    Internet; document handling; conceptual clustering; dynamic concept; web documents clustering; Electrostatic discharges; clustering; concept; dynamic concept; subject information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182409
  • Filename
    6182409