Applied Research Of Web Log Mining In Website Construction Of Primary And Secondary School

With the development of internet technology as well as the forward movement of the education informationization,more and more primary and secondary schools have built their own portal site which plays an additional role in the traditional education management.For example,it is the window of news publishing, the platform of online office for teachers, the resource sharing center and the bridge of information communication for teachers, students, parents and other community. However, due to the stick-in-the-mud concept, the lack of funds for construction of hardware and software, the weak technical support,several schools have been really screwed up with such things as theill-formed daily management of site, the problem of site security, the inapplicable design of the site sections and site features.Consequently,it is not fully exploited for site performance and site function.For the above, this paper is aimed at searching for the beneficial factors about primary and secondary schools website establishment based on web log mining. In this paper, the main research methods are adopted by the literature analysis method and experimental method.Through literature analysis,the research findings in the field of log mining and logging mining tools has comprehensive analysised,and the research direction of this paper has been determined.Through literature analysis,the method of web log mining based on statistical analysis and association rules are centred on,using the World Wide Web Consortium(W3C) Extended log.Finally, it presents optimization scheme for the primary and secondary site,with the experiment results as reference data.The main contents of this dissertation are as follows:1.This paper analyzes the current situation of website establishment in primary and secondary school.2.In this paper,the pretreatment process of logs is summarized, all aspects of web log mining is analyzed, and a user’s risk profile table is designed.3. This paper designs the experiment of web log mining based on statistical analysis, and analyzes the experimental data.4. This paper designs the experiment of web log mining based on association rules, and analyzes the experimental data.5.This paper proposes specific optimization scheme for primary and secondary site.