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
Link To Document :
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