An Introduction to Privacy-Preserving Data Mining

  • Charu C. Aggarwal
  • Philip S. Yu
Part of the Advances in Database Systems book series (ADBS, volume 34)

The field of privacy has seen rapid advances in recent years because of the increases in the ability to store data. In particular, recent advances in the data mining field have lead to increased concerns about privacy. While the topic of privacy has been traditionally studied in the context of cryptography and information-hiding, recent emphasis on data mining has lead to renewed interest in the field. In this chapter, we will introduce the topic of privacy-preserving data mining and provide an overview of the different topics covered in this book.

Keywords

Privacy-preserving data mining privacy randomization k-anonymity 

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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Charu C. Aggarwal
    • 1
  • Philip S. Yu
    • 2
  1. 1.IBM Thomas J. Watson Research CenterHawthorneUSA
  2. 2.Department of Computer ScienceUniversity of Illinois at ChicagoChicagoUSA

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