Research On Web Data Mining System In E-commerce

With the rapid development of Internet technology, the development ofE-commerce in China has made great progress. The result of the rapid development isfiercer competition in the internet sales platforms. How to meet the request of themarket, and how to adjust and optimize the service mode together with the managementstrategies become the problem that many enterprises are facing. To solve these problems,the sellers should maintain a strong ability to process and use information. Theenterprise decisions need to be made on the basis of the visit and trade data，so web datamining is an effective way to solve business problems in the development ofE-commerce.This thesis studied the web data mining system under the online shoppingenvironment, and the main content is as below. Firstly summarized and analyzed theresearch status at home and abroad of web data mining in E-commerce and elaborate themajor research content and the meaning of study on this subject. Analyzed the presentsituation and the challenges of E-commerce in our country, studied web data miningtechnology and summarized the application of web mining in E-commerce. Secondly,this thesis studied web service, mobile agent, software architecture and the n layerarchitecture of E-commerce system. Based on these, designed a web data miningframework. Finally, the web data mining system was realized to test the function of thesystem framework. In this part researched the differences between the platform of J2EEtechnology and the platform of.NET technology to choose a suitable one. Analyzed thelogical deployment of the system, designed the function modules and verified thefunction of the system by instance.The ultimate goal of this thesis is to improve the existing system framework anddesign a web data mining framework which has better ability of cross platform andmore efficient based on the analysis of the present web mining application inE-commerce.