The Technology And Application Of Website Optimization Based On Web Log Mining

In recent years, the network is getting rapid development, with the rapid progress of science and technology and living standards rising, more and more people prefer to learn online and search things interesting. Network has become an important way that people communicate with each other. Meanwhile, as a new information platform, a growing number of companies, enterprises and even individual are paying highly attention on the Web site. Web Site can be divided into corporate image display, product promotion, information dissemination, and digital business types by function. No matter which type of the site, the ultimate goal is to attract customers, so as to enhance company image, promote products trading. The structure of corporate website design, page information, and other factors will directly affect the viewer on the whole corporate website as well as the whole enterprise impression. Therefore, it must carry on the optimization promptly according to user's visit custom and the visit request during the website running. It appears especially important in the website optimization work for discovering the user latent access rules. Web log mining is a very important research field and direction in Web mining, by analyzing and discovering Web log records law, a lot of potential use of rules and models can be dug out. And it will provide Web managers advice and guidance in structure optimization. The results will be applied to improve the design of the site in the structure adjustment and page content optimization. Enhance the visitors'interesting. Although the application of Web log mining has been quite extensive, for different Web data and the actual situation of enterprises, a special analysis method should be used. Beijing Shinetechchina Inc. is a software outsourcing enterprise services for foreign clients. The website is a very important advocacy, communication, communication platform. This paper is based on the knowledge used to analyze Web mining research in Beijing Shinetechchina Inc. Chongqing Branch site optimization.This paper introduces the basic concepts of Web data mining, classification, and gives the basic principles of Web log mining methods, pointed out that the use of Web log mining, prospects of its bright prospects for development. At the same time introduced the theory and methods in Website optimization. Focuses on Web log mining techniques and statistical analysis of data preprocessing methods and the association rules algorithm, then proposed a new algorithm which is a kind of Path Analysis based on the association rules mining. And then it was applied in the Web log mining to guide the actual work. In the end, a site access simple information management platform was constructed. With the knowledge discovered, the site's structure and content was optimized to improve the overall performance of the website. Finally, this paper was summarized with the conclusion of the future direction for further research.