• DocumentCode
    1875004
  • Title

    Research on Method of Case Base Data Mining Learning Based on Rough Set

  • Author

    Li, Jingwei ; Song, Dong

  • Author_Institution
    Sch. of Aeronaut., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Data mining based on rough set is introduced into CBR (Case-based Reasoning) system. And learning model of case base is established. The potential knowledge of case base is obtained and studied, through attribute reduction and attribute value reduction. Meanwhile, the structure and performance of case base is maintained and improved, through case reduction. The establishment of case base learning model raises the automaticity of knowledge acquisition and promotes the development of the CBR system positively. Then the process of learning is applied in the case base of fault diagnosis expert system of aircraft.
  • Keywords
    case-based reasoning; data mining; expert systems; fault diagnosis; rough set theory; CBR system; aircraft fault diagnosis expert system; attribute reduction; attribute value reduction; case base data mining learning; case base learning model; case reduction; case-based reasoning; rough set; Aircraft; Atmospheric modeling; Cognition; Computational modeling; Data mining; Fault diagnosis; Indexes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5391-7
  • Electronic_ISBN
    978-1-4244-5392-4
  • Type

    conf

  • DOI
    10.1109/CISE.2010.5676958
  • Filename
    5676958