关键词: 数据挖掘, 会话识别, 隐私保护, 关联规则, Web日志

Abstract: Data mining based on privacy preservation has become a research hot point now. Web server logs save the information of the customer access to page, there will be leaking users’ privacy data if not to protect. This paper discusses the privacy protection of customer act in the Web data mining, and puts forward a method to convert the information of Web server log into relational data tables, and through randomized response methods interfere with the data information, then presents the frequent itemsets and strong association rules discovery algorithm and derives the association rules of online shopping basket. The experimental results validate the algorithms by applying it on real datasets.

Key words: data mining, privacy preservation, randomized response, association rules, Web log