• DocumentCode
    2134948
  • Title

    Application of Data Mining in Customer Relationship Management

  • Author

    Wu, Kun ; Liu, Feng-Ying

  • Author_Institution
    Sch. of Manage., Tianjin Polytech. Univ., Tianjin, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With economic globalization and the rapid development of e-commerce, customer relationship management (CRM) has become the core of growth of the company. Data mining, as a powerful data analysis tool, extracts critical information supporting the company to make better decisions by processing a large number of data in commercial databases. This paper introduced the basic concepts of data mining and CRM, and described the process how to use data mining for CRM. At last, the paper described the applications of several main data mining methods in CRM, such as clustering, classification and association rule.
  • Keywords
    customer relationship management; data analysis; data mining; electronic commerce; CRM; association rule; classification method; clustering method; commercial databases; customer relationship management; data analysis tool; data mining method; e-commerce; economic globalization; Analytical models; Classification algorithms; Customer relationship management; Data mining; Databases; Decision making;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5575614
  • Filename
    5575614