• DocumentCode
    514782
  • Title

    The Case Clustering Algorithm Based on Rough Set

  • Author

    Ma, Shi-xia ; Li, Shi-yong

  • Author_Institution
    Comput. Sci. & Technol. Dept., Henan Mech. & Electr. Eng. Coll., Xinxiang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    300
  • Lastpage
    303
  • Abstract
    Based on rough set theory and case-based reasoning technology, the paper designs a case-clustering algorithm, introduces the rough set theory and the presentation form of case and case base, analyzes the structure of the cluster, and emphasizes on the merging algorithm of cluster. According to the experimental results, the method enhances the related extent of the cases in clustering through using of user´s feedback information, and effectively develops clustering to the cases of case base, so as to increase the efficiency of case retrieval.
  • Keywords
    case-based reasoning; merging; pattern clustering; rough set theory; case clustering algorithm; case retrieval; case-based reasoning; merging algorithm; rough set theory; user feedback information; Algorithm design and analysis; Clustering algorithms; Computer science; Computer science education; Educational institutions; Educational technology; Feedback; Merging; Paper technology; Set theory; case-based reasoning; rough set; similarity; target case;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6388-6
  • Electronic_ISBN
    978-1-4244-6389-3
  • Type

    conf

  • DOI
    10.1109/ETCS.2010.499
  • Filename
    5459031