Data Mining Technology In The Electronic Mall

As the widespread of the Internet and the mature of the database technology, the traditional commerce model is progressing towards the electronic commerce at a shocking speed. This trend gives rise to the emergence of more and more e-commerce web sites, and these web sites has also accumulated a large amount of user exchange data. How to use these data resource as a kind of guided information so as to remain and develop more users, enlarge business and create more profits in the fierce-competitive e-commerce field is problem that haunts every e-commerce web site. To this problem, the Data Mining Technology which newly emerged in recent years has provided a practicable solution. The Data Mining is a technology which to extract the abnormal, implicated, unknown and potentially valuable information from a large scale of data. The application of the data mining technology is becoming a hot point in the e-commerce field.When e-mall expands its scale day by day; it can not follow the step of the unceasingly newly user demand, facing the crisis of losing web site users. What's more, the unchangeable cooperation way with the customers not only binds the development of management specialty of the users, but also influence the relationship development between merchant and as well. To these questions, this thesis is attempting to accomplish the following works with the data mining technology:To analysis requirement of C2C e-commerce mining system, study the impending facing problem. The system should contain three aspects:to offer the users-based partition service subscribed by merchant; to recommend merchandises to users by studying their shopping cart; to estimate the corporation value of the merchants. To design the architecture of Electronic Commerce Mining System by using the J2EE technology which makes the system flexible. By the result of data cleaning and integrating, to carry out the recommendation of shopping cart based on weka and user corporation evaluation. To analysis and validate the mining result and offer scientific gist to the corporation decision-making.