Applied Data Mining

CHAPTER 9

Privacy Preserving in Data Mining

Privacy preserving in data mining is an important issue because there is an

increasing requirement to store personal data for users. The issue has been

thoroughly studied in several areas such as the database community, the

cryptography community, and the statistical disclosure control community.

In this chapter, we present the basic concepts and main strategies for the

privacy-preserving data mining.

The k-anonymity approach will be presented in Section 9.1. The

l-diversity strategy will be introduced in Section 9.2. The t-Closeness

method will be presented in Section 9.3. Discussion on privacy preserving ...