Privacy-Preserving Data Mining: A Survey - Database Security: Applications and Trends - page 446

7 Summary
In this paper, we presented a survey of the broad areas of privacy-preserving
data mining and the underlying algorithms. We discussed a variety of data
modification techniques such as randomization and k -anonymity based tech-
niques. We discussed methods for distributed privacy-preserving mining, and
the methods for handling horizontally and vertically partitioned data. We
discussed the issue of downgrading the effectiveness of data mining and data
management applications such as association rule mining, classification, and
query processing. Finally, we discussed some fundamental limitations of the
problem of privacy-preservation in the presence of increased amounts of public
information and background knowledge.
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