Semantic-Based Aggregation for Statistical Disclosure Control

In this paper we show how clustering can be used to aggregate different versions of the same data set in order to discover confidential information. Having these tools helps to not publish data that could be reidentified, which is known as Statistical Disclosure Control. In particular, the paper is focused on the case of dealing with categorical values. © 2003 Wiley Periodicals, Inc.Peer Reviewe