• DocumentCode
    1590086
  • Title

    Evidence based similarity for document categorization

  • Author

    Mohamed, Rozlini ; Watada, Junzo

  • Author_Institution
    Grad. Sch. of Inf., Production & Syst., Waseda Univ., Fukuoka, Japan
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The failure of effective information management over the web does not influence only on by the speed of information retrieval; but also influenced by individual and organizational activities. Thus, the search engine of information retrieval plays a pivotal role in retrieving results that are relevant to users´ query. Categorization is an optimist alternative to improve the accuracy and speed of information retrieval. This paper proposes a method using evidential reasoning based on similarity for text categorization. Term and frequency of term has influenced the process of deciding the document category. In order to define a new category for new document, our proposed method has taking degree similarities into consideration.
  • Keywords
    Internet; information retrieval; search engines; text analysis; Web; document categorization; evidence based similarity; information management; information retrieval; search engine; text categorization; categorization; evidential reasoning; latent semantic analysis; similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2010
  • Conference_Location
    Kobe
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4244-9673-0
  • Electronic_ISBN
    2154-4824
  • Type

    conf

  • Filename
    5665447