• DocumentCode
    1692220
  • Title

    Knowledge Management in E-commerce: A Data Mining Perspective

  • Author

    Yu, Hong ; Huang, Xiaolei ; Hu, Xiaorong ; Wan, Changxuan

  • Author_Institution
    Dept. of Inf. Sci., Nanchang Teachers´´ Coll., Nanchang, China
  • fYear
    2009
  • Firstpage
    152
  • Lastpage
    155
  • Abstract
    To achieve knowledge management (KM), we need to integrate information system strategies with business strategies. The implementation of e-commerce provides conditions for KM of enterprises. This article suggests using data mining (DM) as a technique to support knowledge management in e-commerce. We discuss the process of knowledge management in e-commerce and present a reference model. A general architecture of collecting and mining data out of an e-commerce platform is designed to facilitate user discovering valuable knowledge. We detail the four functional modules, namely data collection, data pre-processing, pattern discovery, and knowledge analysis of the integrated architecture. Finally, some challenges in the process of implementing KM using data mining are summarized.
  • Keywords
    data mining; electronic commerce; information systems; knowledge management; KM; business strategy; data collection; data mining; data preprocessing; electronic commerce; information system; integrated architecture; knowledge analysis; knowledge management; pattern discovery; valuable knowledge discovery; Conference management; Data mining; Delta modulation; Electronic commerce; Electronic government; Financial management; Information technology; Knowledge management; Stress; Technology management; architecture; data mining; e-commerce; knowledge management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of e-Commerce and e-Government, 2009. ICMECG '09. International Conference on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3778-8
  • Type

    conf

  • DOI
    10.1109/ICMeCG.2009.109
  • Filename
    5279962