• DocumentCode
    3316358
  • Title

    A case retrieval algorithm based on Ant Colony Clustering

  • Author

    Ma, Shi-xia ; Ru, Qing-Yun ; Liu, Dan ; Guo, Zu-hua

  • Author_Institution
    Comput. Sci. & Technol. Dept., Henan Mech. & Electron. Eng. Coll., Xinxiang, China
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    39
  • Lastpage
    43
  • Abstract
    Case retrieval is an important part of case-based reasoning system. According to the idea of ant colony algorithm, the paper performs clustering to case base, and on this basis, in accordance with the idea of k-means algorithm, designs a case retrieval algorithm. Then the paper analyzes the organization method based on heterogeneous case, focuses on the clustering algorithm of case and the retrieval algorithm of case. The experimental results show that the method is able to convert the maintenance of case base into the maintenance of sample case, thus effectively improve the efficiency of case retrieval.
  • Keywords
    case-based reasoning; pattern clustering; ant colony clustering; case retrieval algorithm; case-based reasoning system; k-means algorithm; organization method; Algorithm design and analysis; Artificial intelligence; Clustering algorithms; Computer science; Educational institutions; Electronic commerce; Humans; Internet; Libraries; Semantic Web; Case-based reasoning; case retrieval log; feature item´s weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234790
  • Filename
    5234790