STUDY OF ASSOCIATION RULES BASED ON ROUGH SET IN E-COMMERCE EVALUATION
Increasing competition from businesses across the world has driven enterprises to own the capabilities of evaluation and management. So the evaluation of webbased electronic commerce becomes paramount. In this paper we applied the association rules based on rough set to evaluate the e-commerce web. We present the algorithm of association rules and applied it to e-commerce web evaluation. Firstly, the paper briefly introduces basic theory of rough set and shows how to realize selection of web emetrics and assessment. Then we gave process steps and the block chart of algorithm based on rough-fuzzy set theories. Secondly, we used the e-metrics data of ecommerce web as illustration to implement the algorithm. In this part, we collect 10 evaluation records as example. At last we gave the evaluation of e-commerce web and reached an analysis conclusion. The result showed that the algorithm could find out hidden association rules to make classification decisions.
Association Rules Rough Set Ecommerce Evaluation
Han Jing Chen Shao-Jun
Economic and Management Institute, Yantai University, Yantai, Shandong, P. R. China, 264005
国际会议
5th International Conference on e-Engineering & Digital Enterprise Technology(第5届e工程及数字企业国际学术会议)
贵阳
英文
13-17
2006-08-16（万方平台首次上网日期，不代表论文的发表时间）