• DocumentCode
    2134287
  • Title

    Research on customer classification rule extraction base on RFM model and rough set

  • Author

    Jianping, Wei

  • Author_Institution
    School of Economics & Management, Weifang University, 261061, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    3917
  • Lastpage
    3919
  • Abstract
    In recent years, the competition between supermarkets is becoming increasingly fierce, and which urges all supermarkets to be constantly innovation in getting and maintaining their customers. In this paper, based on rough set data mining technology, the RFM model was applied to the classification of the supermarket customers, which provide decision support to enterprise marketing programs.
  • Keywords
    Biological system modeling; Business; Data mining; Data models; Indexes; Set theory; Time frequency analysis; RFM model; customer classification; data mining; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5690655
  • Filename
    5690655
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2134287