• DocumentCode
    2214225
  • Title

    A DM-Based Approach to SEW System Model

  • Author

    Zhou, Haiwei ; Liu, Huili ; Gao, Peipei

  • Author_Institution
    Strategic Manage. Inst., Hohai Univ., Nanjing, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    4126
  • Lastpage
    4129
  • Abstract
    Enterprise strategic early warning (SEW) is to make prediction and early warning to the whole process of the formulation, implementation and evaluation of enterprise strategy, which fits the urgent need of the long-time survival and healthy development of enterprises. And data mining (DM) could reveal the to the enterprises if their future development would be faced up with crisis in addition to providing the decision level with chance of future development. These two aspects would be of even more profound significance as they are combined. On analyzing the necessity and possibility of applying the data mining to enterprise strategic early-warning, the indictors are established based on the balanced scorecard, under guidance of it´s design principle. Furthermore, the model of enterprise strategic early-warning is built.
  • Keywords
    alarm systems; data mining; DM-based approach; SEW system model; balanced scorecard; data mining; enterprise strategic early warning; Banking; Conference management; Data mining; Delta modulation; Engineering management; Environmental management; Information science; Marketing management; Predictive models; Risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.23
  • Filename
    5454797