• DocumentCode
    1942692
  • Title

    An Evolving Information System Based on Data Mining Knowledge to Support Customer Relationship Management

  • Author

    Ren, Ming ; Chen, Zuoliang ; Liu, Chuanlan ; Chen, Guoqing

  • Author_Institution
    Sch. of Econ. & Manage., Tsinghua Univ., Beijing
  • fYear
    2008
  • fDate
    28-29 Sept. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    It is becoming more vital than ever before for business to manage customer relationship and build customer loyalty. Information systems and data mining techniques have significant contributions in the customer relationship management process. In the dynamic business environment, information systems need to evolve to adapt to the change in requirements, which is driven by customer relationship management. An evolving information system is proposed in this paper and discussed by focusing on a specific type of knowledge, namely association rule. With new classes and attributes created based on new knowledge and user requirements, the evolving information system is capable of collecting, processing and providing more valuable information on customers, to support customer relationship management.
  • Keywords
    customer relationship management; data mining; information systems; association rule; customer loyalty; customer relationship management; data mining knowledge; data mining techniques; dynamic business environment; evolving information system; Association rules; Customer relationship management; Data mining; Environmental economics; Environmental factors; Erbium; Humans; Information systems; Knowledge management; Management information systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Management of Information for Globalized Enterprises, 2008. AMIGE 2008. IEEE Symposium on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-3694-1
  • Electronic_ISBN
    978-1-4244-2972-1
  • Type

    conf

  • DOI
    10.1109/AMIGE.2008.ECP.62
  • Filename
    4721504