A survey of transaction dada anonymous publication
Lan Sun, Yilei Wang, Yingjie Wu · 2012
Transaction data contain a large amount of information of individuals and entities. Publication of these data can provide important resources for researching such as association rule mining, recommendation systems and user behavior prediction ect. But on the other hand, it will compromise individual privacy. Recently, many works focus on privacy preserving transaction data publishing, especially on anonymous publishing. In this paper, we will systematically summarize and evaluate different anonymous approaches for transactional data publication.