Research of WEB Usage Mining Based on Negative Association Rules
Bin Yang, Dong Xiang-jun, Shi Fu-fu · 2009
Today, Internet has become an indispensable tool for everyone, Web usage mining correspondingly becomes a hotspot, which uses large amounts of data in the Web server log and other relevant data sets for mining analysis and gains valuable knowledge model about usage of relevant Web site. At present, a lot of works have to do with the positive association rules in Web usage mining, but negative association rules is more important, So in this paper we have applied negative association rules technology to Web usage mining, in the course of the experiment we have proved that the negative association rules have a more important role on access pattern to Web visitors, give the mining algorithms, to solve the deficiencies in which positive association rules are referred to.