Rules Mining of Web Users' Visiting Interest Based on Rough Logic
HE Wei-hong, Jiaming Zhong, Dingfang Li · 2009
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.