• DocumentCode
    2157026
  • Title

    Research of case retrieval strategy based on partitional clustering algorithm

  • Author

    Ma, Shi-xia ; Liu, Jian-hua ; Liu, Dan

  • Author_Institution
    Comput. Sci. & Technol. Dept., Henan Mechanic & Electr. Eng. Coll., Xinxiang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    307
  • Lastpage
    310
  • Abstract
    Case clustering is the core of case-based reasoning system. This paper partitions clustering to case base and designs a case retrieval strategy based on heterogeneous case base. Then, the paper analyzes the partitional principles of case base and the clustering rules of cases, and focuses on the case retrieval strategy based on partitional clustering. The experimental results show that this method can effectively improve the efficiency of case clustering and the maintainability of case base.
  • Keywords
    case-based reasoning; pattern clustering; case clustering; case retrieval strategy; case-based reasoning; partitional clustering algorithm; Clustering algorithms; Computer aided software engineering; Computer science; Delay; Educational institutions; Electronic commerce; Internet; Partitioning algorithms; Radiofrequency interference; Semantic Web; case retrieval; clustering; partitional clustering; reasoning; similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451517
  • Filename
    5451517