Rules Mining of Web Users´ Visiting Interest Based on Rough Logic

As the rapid development of the Internet, mining users´ useful information from Web log has become the hot research, which plays an important guiding role in developing and making use of the Web. Firstly, pre-dealing with Web log, analyzing the main factors of Web users´ visiting interests. Afterwards rules mining model of Web users´ visiting interest is formed that based on rough set theorem, from which we get the decision rule and minimum decision algorithm of Web users´ visiting interest. Finally, the model and algorithm are proved to be practical and feasible through examples.