摘要
本文通过对Web日志的处理,应用关联规则方法对用户访问行为进行挖掘,来发现资源间的关联性。通过对Apriori方法的分析,运用对事务集和候选项目集有效约减的方法,提出了基于Apriori算法的改进的快速Web资源关联规则挖掘算法FApriori方法。通过对KDDcup2000数据的验证,证明算法的有效性和正确性。
Through mining the users＇accessing behavior which is recorded in the Web server log file, this paper propose a association rules algorithm to mining the association rules within web resource. Through pruning the pattern set and candidate itemset in Apriori, a fast association rules based Apriori is proposed. At last, the result which is validated by data in KDDcup2000 is correct and efficacious.
出处
《微计算机信息》
北大核心
2008年第15期109-111,共3页
Control & Automation
基金
国家"十五""211"公共服务体系建设(219899004)
