Analysis of risk decision of E-Commerce project based on data mining of rough sets

  • Authors:

  • Li Wanqing;Ma Lihua;Meng Wenqing;Du Fengqiu

  • Affiliations:

  • College of Economics and Management, Hebei University of Engineering, Handan, China;College of Economics and Management, Hebei University of Engineering, Handan, China;College of Economics and Management, Hebei University of Engineering, Handan, China;College of Economics and Management, Hebei University of Engineering, Handan, China

  • Venue:
  • CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

In the paper, the objectivity and feasibility of Rough Sets applying is analyzed in the procedure of decision support system. In order to solve the problem of risk decision of E-Commerce project, a new method of data mining based on Rough Sets is proposed by analyzing project including uncertain factors. Firstly, the set of factors is established including condition attribute and decision attribute. Secondly, experts qualitatively describe risk factors and establish a decision database, called decision table. Thirdly, the attribute reduction algorithm based on Rough Sets is used to eliminate the redundant risk factor and its value of decision table. Fourthly, the minimum decision rules are abstracted based on data mining technology. Finally, the procedure of risk decision based on data mining of Rough Sets is analyzed in a case study. The method is more convenient and practical compared with the traditional one.