Study on the Data Mining Technology Applied to Web Logs

摘要

This paper aims at the research progresses of the web log mining technology to study the basic structure of the web-based data mining algorithm, focuses to analyze on the basis of using association rules and the clustering analysis to achieve the personalization of the web, constructs a web personalization system, and finds through the user clustering, the page clustering, and the frequent access paths, by the similarity of user groups to conduct the access forecast for web pages and the content recommendations.