• DocumentCode
    3299809
  • Title

    Classification Rule Mining Using LPP and MA

  • Author

    Chen, Xuelin

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
  • fYear
    2009
  • fDate
    11-12 July 2009
  • Firstpage
    295
  • Lastpage
    298
  • Abstract
    To efficiently resolve classification rule mining problem, a novel classification rule mining algorithm is proposed by using locality pursuit projection (LPP) and memetic algorithm (MA) in this paper. Experimental results show that the proposed algorithm achieves much better performance than other related classification rule mining algorithms in terms of predictive accuracy and rule list mined simplicity.
  • Keywords
    data mining; pattern classification; classification rule mining; locality pursuit projection; memetic algorithm; Classification algorithms; Conference management; Data mining; Genetics; Machine learning; Machine learning algorithms; Project management; Pursuit algorithms; Space technology; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Science, Management and Engineering, 2009. SSME '09. IITA International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-0-7695-3729-0
  • Type

    conf

  • DOI
    10.1109/SSME.2009.120
  • Filename
    5233289
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3299809