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Privacy-Preserving Data Mining: A Survey by Charu C. Aggarwal; Philip S. Yu is a book available to read on EtoBox.

What is Privacy-Preserving Data Mining: A Survey about?

In recent years, privacy-preserving data mining has been studied extensively, because of the wide proliferation of sensitive information on the internet. A number of algorithmic techniques have been designed for privacy-preserving data mining. In this paper, we provide a review of the state-of-the-art methods for privacy. We discuss methods for randomization, k-anonymization, and distributed privacypreserving data mining. We also discuss cases in which the output of data mining applications needs to be sanitized for privacy-preservation purposes. We discuss the computational and theoretical limits associated with privacy-preservation over high dimensional data sets.

Author

Charu C. Aggarwal; Philip S. Yu

Publisher

Springer Science+Business Media, LLC

Published

2007

Language

EN

ISBN

9780387485324

Subjects

Computer Science, Stem