Implementation on E-Commerce Network Marketing Based on WEB Mining Technology

At present, most systems only provide OLAP-based simple statistical analysis and most mining frameworks in system are designed based on the closed system so it seems not to be enough in e-commerce mining application with variable demands. This paper analyzes and concludes research status and the trend of current e-commerce system framework and points out the problems of traditional e-commerce Web mining system. Based on the study of multiple Web mining algorithms applied in e-commerce environment, this paper improves critical Apriori association rules and k-means cluster core algorithm and tests the effectiveness of the improved algorithm with experiment. Meanwhile, we encapsulate multi-Web algorithms at the stage of mining framework to complete mining task.