Application and Research of Intelligent E-commerce
As knowledge and rules are hided in e-commerce data, how to mine them is not achieved well in the present ecommerce. IEC (Intelligent E-commerce) is proposed as the next period e-commerce and main feature is to mine e-commerce knowledge and rules from e-commerce data. An Extended K-Means algorithm is proposed to analyze customers consumptions in the IEC and results indicate that the performance of the extended algorithm is better than that of K-Means. An IEC prototype is developed and applied to a commercial website. The Application demonstrates rationality of the prototype.
component intelligent e-commerce k-means cluster customer churn
Xiaobing Yu
School of Economics and Management Nanjing University of Information Science & Technology Nanjing, China
国际会议
太原
英文
596-600
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）