The research of web users´ behavior mining based on association rules

When accessing websites, users usually leave a lot of access information, which can be mined reasonably to help the managers of website to get accessing patterns of users. This article first introduces the preprocessing procedure of web logs, which includes the tasks of data cleaning, Data Discretization and their implementation. On the basis of preprocessing the analysis method of requested resource “URL” and “referrer” which is the webpage before users browse the URL in web log by the use of association rules is proposed to find the accessing patterns of users. Finally the experiment is accomplished. The result shows that the method is feasible, and it can help the manager in making decisions about the analysis of website users´ behavior and the optimization of website.