Web日志挖掘在电子商务推荐中的应用

The Application of Electronic Commerce Recommendation Based on Web Log Mining

介绍电子商务和Web数据挖掘的概念,并介绍Web使用挖掘中应用最多的技术——Web日志挖掘.重点阐述了日志挖掘算法——关联规则的有关知识,以及改进的频繁项目集生成算法Apriori和强关联规则生成算法,并结合实例进行了分析研究.

This thesis introduced the concept of electronic commerce and Web data mining and introduced the technology of Web log mining. The thesis strongly expatiated on the knowledge of log mining algorithm - association rule, the improved frequent item set production algorithm and the strong association rule production algorithm. At last, the thesis made the description of the production association model and researched with the example.