Build J2ee-based E-commerce Systems And Data Mining Technology Research

With the rapid development of Internet, e-commerce system is used more and more widely in nowadays life. Its function has extended from online transactions to all kinds of business on the network. The building technology of the e-commerce system should not only support the development and reuse of system, but also provide the ability of intelligent analysis based on data mining and other technologies which can help the enterprise to improve their customers' relationship management and marketing activities. There are some questions should be researched on. How to improve the reusability of software? How to build the development platform of e-commerce system based on reusable components and design patterns? How to apply data mining into e-commerce system? Researches on these questions are proved to be valuable. This paper is mainly about these questions.This paper firstly introduces the related theories and background knowledge in detail.Secondly we describe the application of 3-tier architecture, methods of component-based design and design patterns in Zhen Xiang e-commerce system. These technologies can not only improve the efficiency and performance, but also the reusability of the system. Based on these reusable components and patterns, we can build a universal development platform of e-commerce system.The third part talks about the analysis and design of the business intelligence module which is a part of Zhen Xiang project, then explores the application of data mining to provide market basket analysis, customer classification analysis and other intelligent analyses . We research on how to provide intelligent analysis based on data mining for the enterprise in the e-commerce system. We classified the architecture of mining system, analysis and implement of some key algorithms which are preparations for the future work.At last we give the main contributions of this paper and our future work as a summarization.