• DocumentCode
    501172
  • Title

    Research on Classification Rule Based on Backtracking Ant Colony Algorithm

  • Author

    Zhipeng, Wang ; Jinguang, Sun ; Da, Yin

  • Author_Institution
    Sch. of Economic Inf. Eng., Liaoning Tech. Univ., Huludao, China
  • Volume
    2
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    228
  • Lastpage
    231
  • Abstract
    Research on the technology of classification the rules of current data mining. Because of accuracy and validity of the classification rules meet, this paper brings up a new algorithm for classification rules: classification rule based on backtracking ant colony algorithm. The core of the algorithm is: the project ant crawl forward, at the same time the backtracking ants crawl backward. If the backtracking ants find better rule, the project ant go back to the last better attribute node, then research. This paper realizate a test system, and prove that use the algorithm of classification rules can make classification more accurate.
  • Keywords
    data mining; optimisation; pattern classification; backtracking ant colony algorithm; classification rule algorithm; data mining; Classification algorithms; Computational modeling; Data engineering; Data mining; Inference algorithms; Information analysis; Information technology; Machine learning algorithms; Sun; System testing; backtracking ant volony algorithm; classification rule; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2009. IFITA '09. International Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3600-2
  • Type

    conf

  • DOI
    10.1109/IFITA.2009.355
  • Filename
    5231230