Web-based Data Mining Technology Bookstore E-commerce System Design And Implementation,

With the rapid growth and popularization in Internet and WWW, Electronic Commerce has caught more attention from researchers. They want to take the advantage of the new commerce to gain more profit. Web has already become the basis of the Electronic Commerce. By applying the approaches of Data mining into the Electronic Commerce, the owner of the Electronic Commerce can find out the really useful knowledge from the mass of data to make a right decision.Microsoft Corporation has released MS.NET framework , which is a new computing platform. It provides a lot of programming class libraries and perfect Integration Development Environment (IDE), which can greatly simplify the procedures of developing application programs. Moreover, it is very safe and can be easily transplanted. This thesis mainly studies how to build electronic commerce project by using .NET, correlative data mining and network techniques. And Combining the Practice do the following works:Firstly, the paper Analyze the actuality and development trend of the E-commerce and make an introduction about the web data mining technology. This thesis researched on the basic theories of Web data mining, and explored its key techniques. Then the characteristic and advance of .NET and J2EE technique in network programming as a tool of developing online bookstore are introduced. Minutely layouts the design thoughts, goals and the system holistic framework, in succession roundly research various knowledge and technique which is indispensable to construct an Electronic Commerce network. With this understanding, the author applies the above-mentioned theories and technique to the system and accomplishes the construction of shopping platform of the bookshop online.In the implementation of online bookstore, we make use of ASP.NET and C# technique to set up basic network architecture and customer interface, make use of SQL Server database to establish safe back-end database in the online bookstore, make use of ADO.NET technique to create efficient and safe connection and access to back-end database. These technologies can not only improve the efficiency and performance, but also the reusability of the system. At the same time, I finished the Design, planning and Realization of the project.At last we give the analysis and design of the data mining module, 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 ecommerce system. We classified the architecture of Web mining system, analysis and implement of some key algorithms which are preparations for the future work.