• DocumentCode
    402891
  • Title

    Spatial data mining method for customer intelligence

  • Author

    Fan, Bo ; Li, Yi-jun ; Yan, Xiang-bin

  • Author_Institution
    Manage. Sch., Harbin Inst. of Technol., China
  • Volume
    1
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    305
  • Abstract
    Spatial data mining method is used to enrich customer intelligence analytical function in this article. We first propose a spatial data classification method, which can handle the uncertainty property of customer data. On the basis of spatial classification rules, we then propose a detection method of potential customers by map overlapping. Deep spatial analytical function is realized in customer intelligence system, which cannot be done by traditional data mining method.
  • Keywords
    data analysis; data mining; rough set theory; uncertainty handling; visual databases; customer data; customer intelligence; customer intelligence system; data classification method; data mining method; map overlapping; uncertainty property handling; Data mining; Electronic mail; Face detection; Information analysis; Intelligent systems; Postal services; Production; Set theory; Technology management; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1264491
  • Filename
    1264491