• DocumentCode
    2475088
  • Title

    Knowledge management in the industry based on the use of data-mining techniques

  • Author

    He, Mao ; Chen, Juan

  • Author_Institution
    Sch. of Manage. & Econ., Kunming Univ. of Sci. & Technol., Kunming
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    171
  • Lastpage
    176
  • Abstract
    The current emphasis in theory and practice of knowledge management (KM) is on attempts to understand knowledge creation, transmission, storage and retrieval. Data mining (DM) is intended to provide support in the complex data rich but information poor situations. In the paper we argue that data mining can make a significant contribution to a knowledge management effort. Our goal is to show how data mining techniques can be used for building organizational knowledge, which would lead to a better performance. Finally, case study is given to show data mining techniques using in knowledge management of corporation.
  • Keywords
    data mining; knowledge management; data-mining techniques; knowledge management; organizational knowledge; Data mining; Data warehouses; Databases; Delta modulation; Enterprise resource planning; Information retrieval; Intelligent control; Knowledge management; Pattern recognition; Storage automation; data mining; industry; knowledge management; techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4592919
  • Filename
    4592919