• DocumentCode
    2086738
  • Title

    The Research of Customer´s Repeat-Purchase Model Based on Data Mining

  • Author

    Wang, Fudong ; Chen, Meimei

  • Author_Institution
    Sch. of Manage., DongHua Univ., Shanghai, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    It costs something like five times to serve a new customer than a regular customer. Regular customer is very import to enterprise. This paper proposes a model of customer´s repeat-purchasing. Customer behavior patterns are first identified using association rule mining. Then, the customer´s repeat- purchase model is identified by comparing two sets of association rules generated from datasets of different periods. The experimental results demonstrated that the method is effective.
  • Keywords
    data mining; purchasing; association rule mining; customer behavior patterns; customer repeat-purchase model; data mining; Association rules; Costs; Data analysis; Data mining; Demography; Finance; Frequency measurement; Industrial relations; Marketing management; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5301544
  • Filename
    5301544