• DocumentCode
    3025733
  • Title

    Segmentation Study on Enterprise Customers Based on Data Mining Technology

  • Author

    Lai, Xin-An

  • Author_Institution
    Sch. of Bus., Wenzhou Univ., Wenzhou, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    247
  • Lastpage
    250
  • Abstract
    In the current context of fierce market competition, customer relationship management (CRM) has become the main means for enterprises to gain competitive advantage and an important option for enterprises to make strategic planning. As a core concept of CRM, customer segmentation can effectively lower the marketing costs of a company and help it achieve more visible and profitable market penetration. This paper begins by introducing the definition of data mining and data mining methods used in CRM; it then proceeds to analyze the advantage of customer segmentation based on data mining and establish the models for customer segmentation; in the end this paper probes into the application of clustering analysis technology of data mining in customer segmentation.
  • Keywords
    customer relationship management; data mining; marketing data processing; strategic planning; clustering analysis technology; customer relationship management; customer segmentation; data mining technology; enterprise customers; fierce market competition; market penetration; marketing costs; strategic planning; Biological neural networks; Customer relationship management; Data analysis; Data mining; Databases; Decision trees; Probes; Resource management; Strategic planning; Testing; customer relationship management; customer segmentation; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Technology and Applications, 2009 First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3604-0
  • Type

    conf

  • DOI
    10.1109/DBTA.2009.96
  • Filename
    5207768