• DocumentCode
    2448296
  • Title

    Research on KDD Process Model and an Improved Algorithm

  • Author

    Peng, Zhen ; Yang, Bingru ; Ren, Hongde

  • Author_Institution
    Dept. of Comput., North China Inst. of Sci. & Technol., Beijing, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    113
  • Lastpage
    115
  • Abstract
    In order to improve the performance of KDD greatly, the paper researched KDD model process based on double bases cooperating mechanism and focused on one of its part that is heuristic coordinator, which simulated the creating intent of cognitive psychology feature. And an improved heuristic coordinator algorithm was proposed. The method used FCM representing knowledge and being effective inference to get non-association state of knowledge base for directional mining knowledge in massive database automatically. Furthermore, the method greatly reduced the searching space and the complexity of the algorithm and enhanced the self-cognition ability.
  • Keywords
    data mining; fuzzy set theory; very large databases; FCM representing knowledge; KDD model; KDD process model; cognitive psychology feature; directional mining knowledge; double bases cooperating mechanism; heuristic coordinator; knowledge base; massive database; nonassociation state; Artificial intelligence; Computational modeling; Electronic mail; Fuzzy cognitive maps; Heuristic algorithms; Inference algorithms; Knowledge representation; Paper technology; Psychology; Spatial databases; Double Bases Cooperating Mechanism; Fuzzy Cognitive Map; Heuristic Coordinator; Knowledge Discovery in Database (KDD);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3615-6
  • Type

    conf

  • DOI
    10.1109/JCAI.2009.15
  • Filename
    5158952