Research On The Adaptive Web Sites Based-on Access Log

At present, a large part of the research of Web data mining focused the log mining of website. These web logs have recorded all actions of visitors. It will have practical significance for optimize the Web site with excavate these records so that we can find the visitors' prefer paths. Most of the existing Web sites' center is the "Page", that is users must be based on the topological structure of the Web site they visited to find the information they need. To filter out these "navigation" pages to improve network quality of service, to provide users with personalized service, people have invented a lot of Web-based data mining applications, such as prefetching, personalized recommendation Service, adaptive Web site services and others. The theory of adaptive Web site can reduce the problem of flood information network and the lack of personalized service, which is a higher level of network service development goals.The purpose of this paper is to use Web log mining theoretical achieve Adaptive Web site. Firstly paper introduce the development of Web log mining at home and abroad, particular expatiate the characteristics and process of Web mining, Web log mining, secondly paper made in-depth studies about the characteristic of adaptive Web site and design principles. This paper focused on the pretreatment of Web Logs and Web log data mining two parts. It also put forward to a model of adaptive web sites, to each part of this model this paper give instructions in detail. And based on the research about Web log mining and in-depth study of adaptive Web Site achieves the desired results. The well operation of the system presented in this paper show this model is feasibility.Finally,using this model constructed a simple adaptive Web site,and the smooth operation of system prove that the arithmetic are correct and reasonable.