Research of WEB Usage Mining Based on Negative Association Rules
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 refered to.
data mining Web usage mining pattern discovery negative association rules support - confidence framework
Yang Bin Dong Xiangjun Shi Fufu
School of Information Science and Technology, Shandong Institute of Light Industry, Jinan 250353, Ch School of Information Science and Technology, Shandong Institute of Light Industry, Jinan 250353, Ch
国际会议
重庆
英文
196-199
2009-12-25（万方平台首次上网日期，不代表论文的发表时间）