摘要
Web日志挖掘就是运用数据挖掘的思想来对服务器日志进行分析处理,以发现相似客户群体、相关Web页面和频繁访问路径等,其目的在于从用户访问Web系统的行为中发现用户的访问模式.在对Web日志挖掘的原理和技术进行讨论的基础上,重点探讨了如何将Apriori改进算法应用于对Web日志的挖掘,提出了一种基于该算法的Web日志挖掘实现方法,实验结果表明了算法的有效性.
Web log mining is based on data mining techniques to analyze and manage the logs on server for finding out the similar customers group, relevant Web pages and the frequent visiting paths etc. Its purpose is to work out the visiting mode of the customers through the actions when they access the Web system. Based on the theory and technology of Web log mining,it mainly focused on how to put the improved apriori algorithm into the application of Web log mining and raised a new method of Web log mining based on the algorithm. The result proves the effectiveness of the algorithms.
出处
《南昌大学学报（工科版）》
CAS
2007年第2期190-193,201,共5页
Journal of Nanchang University(Engineering & Technology)
基金
江西省教育厅科技计划资助项目(200544)
