Research On Application Of Data Mining Technology In Electronic Commerce

With the continuous development of Internet technology, the modern E-commerce business model for its characteristics, such as high efficiency, low cost and without restrictions of space and time, E-commerce business model becomes a trend in the development of business activities. The rapid development of E-commerce also led to many problems. Nowadays, all enterprises face the common problem is that despite the considerable large amounts date that E-commerce system collect, but valuable information is only a small part. How to effectively carry out and organize useful information from the mass and gain something that beneficial for business operations and improve the competitiveness is the focus of the issue waited to be settled urgently.The emergence of data mining technology provides strong data analysis technical for E -commerce activities. Data mining is the application-oriented, and only data mining technology is applied to large and complex data, the research value of data mining technology can get the best embodiment. With the development of E-commerce, more and more enterprises start online trading. E-commerce site's server logs, the background database, as well as customer-related data such as a large number of transactions contained large amount useful data resources which is utilizable. No doubt that e-commerce is the best application of data mining, and object-oriented data mining is a typical application of Web mining. Through mining the Web logs, such as the customer's visit to conduct the visit frequency, browse the contents and time, extracting the relevant information of the customer, the data of customer's access can be change to powerful evidences for develop business strategy and manage strong customer relationships from the potential, implicit, cleaning, processing. Then achieve the true value of E-commerce activities based on the Web.This paper discussed the development of two platform technologies of E-commerce Web application framework, J2EE and .NET, and analyzed the system's implementation of the framework structure of data mining. Discuss the three angles of data mining applications. They are the optimization of E-commerce web site design, the management of customer relationship and Web marketing. Select two or more of their most important aspects, combined with the practical application of data analysis algorithms, including the use of the main data mining technology path analysis techniques, association rule mining techniques, decision tree classification analysis, BP neural network and cluster analysis, and the corresponding algorithm for the problems that exist in the actual improvements, combined with the algorithm illustrated the effective application of time and the role of data mining in the e-commerce data. The integration of variety mining technology and organic e-commerce systems provides grate continuous power for gain the largest revenue from e-commerce activities.