• DocumentCode
    502904
  • Title

    A dynamic data mining model for engineering management

  • Author

    Zhu, Ji-Wei ; Tang, Yu-Guo

  • Volume
    1
  • fYear
    2009
  • fDate
    8-9 Aug. 2009
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    Data mining has become increasingly critical for the success of companies in this emerging era of engineering management. As engineering management activities increasingly shift to the Web, the challenge facing corporate management is maintaining competitive advantage by building strong relations with employees, customers, and suppliers and partners. A good data mining strategy can help achieve this goal. Unfortunately, many companies use data mining technologies that do not suit today´s new information era. This paper addresses the definitions about data mining, area of data mining, development of data mining, then provide an summary of the driving and impeding forces that help and hinder proper deployment of data mining strategies in engineering management. Finally, the paper advocates the strategy of data mining for engineering management.
  • Keywords
    Internet; data mining; knowledge management; Internet; corporate management; customer partner relationship; dynamic data mining model; engineering management; Communication system control; Data mining; Engineering management; Impedance; Information management; Information technology; Knowledge management; Physics; Research and development management; Technology management; Data mining; Engineering Management; Intellectual Capital;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-4247-8
  • Type

    conf

  • DOI
    10.1109/CCCM.2009.5268123
  • Filename
    5268123