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 e-commerce. 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.