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Applied Data Mining
book

Applied Data Mining

by Guandong Xu, Yu Zong, Zhenglu Yang
June 2013
Intermediate to advanced content levelIntermediate to advanced
284 pages
13h 54m
English
CRC Press
Content preview from 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 ...
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Publisher Resources

ISBN: 9781466585843