• DocumentCode
    3291396
  • Title

    The Case Retrieval Strategy Based on Hierarchical Clustering

  • Author

    Ma, Shixia ; Li, Jibiao ; Liu, Dan

  • Author_Institution
    Henan Mech. & Electron. Eng. Coll., Xinxiang, China
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    81
  • Lastpage
    85
  • Abstract
    Case-based reasoning technology has been widely applied in many areas. This study first clustered the case base according to hierarchy, then on the foundation of which designed a retrieval strategy based on non-isomorphic case base, analyzed the hierarchal clustering rules of case base, and mainly discussed the case retrieval strategy based on clustering. The results of the experiment show that this method can efficiently improve the utilization rate of cases in case base as well as the success rate of the case retrieval.
  • Keywords
    case-based reasoning; information retrieval; pattern clustering; case retrieval strategy; case-based reasoning; hierarchical clustering; Accuracy; Artificial intelligence; Educational institutions; Information retrieval; Libraries; Case-Based Reasoning(CBR); case retrieval strategy; feature item´s weight; hierarchical clustering; similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Mining and Web-based Application, 2009. WMWA '09. Second Pacific-Asia Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3646-0
  • Type

    conf

  • DOI
    10.1109/WMWA.2009.52
  • Filename
    5232473