【摘要】 数据挖掘在各个方面都极大地方便了人们的生产、生活,并在很大程度上提高了工作的效率。然而,人们发现了它的最致命的弊端,那就是对隐私信息的暴露。如何保护私有信息或敏感数据在挖掘过程中不被泄露,同时又能得到较为准确的挖掘结果,已经成为数据挖掘领域中的一个很有意义的研究课题。文中针对关联规则模式挖掘中的隐私保护问题,提出了新的算法,不仅成功地隐藏了指定隐私规则集,同时使得对原始数据的改动达到最小,从而有效地降低了意外产生新规则比率和意外隐藏规则比率。更多还原

【Abstract】 Data mining facilitates people in all fields,and improves the efficiency of our work.Nevertheless,people have gradually seen its most lethal defect:the exposure of private information.How to protect private or sensitive information in the data mining process now become a meaningful study topics of data mining.For privacy-preserving in association rule mining,a new algorithm has been proposed in this paper.It reduces modifying ratio,and consequently reduces probability of producing new rule and the probability of hidden accident.更多还原