A Survey on the Privacy Preserving Algorithm of Association Rule Mining

摘要：

We provide an overview of privacy preserving association rule mining, which is one of the most popular pattern-discovery methods in the new and rapidly emerging research area of privacy preserving data mining. Various proposals and algorithms have been designed for it in recent years. In this paper, we summarize them and survey current existing techniques, and analyze their advantage and disadvantage. We divide the proposals of privacy preserving association rule mining into three categories: heuristic-based techniques, reconstruction-based techniques, cryptography-based techniques. Then we give a simple review of the work accomplished. Finally, we conclude further research directions of privacy preserving algorithms of association rule mining by analyzing the existing work.

关键词： privacy preserving algorithms association rule mining data mining

作者: Yongcheng Luo Yan Zhao Jiajin Le

作者单位: Library, Donghua University Shanghai, China College of Information Science and Technology, Donghua U College of Information Science and Technology, Donghua University Shanghai, China

会议类型: 国际会议

会议名称: Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)

会议地点: 南昌

会议语种:英文

页码: 241-245

在线出版日期: 2009-05-22（万方平台首次上网日期，不代表论文的发表时间）