Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems, #34) (NATO Asi, #26)

by Charu C. Aggarwal and Philip S. Yu

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Book cover for Privacy-Preserving Data Mining

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Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.

  • ISBN10 0387709924
  • ISBN13 9780387709925
  • Publish Date 1 January 2008
  • Publish Status Active
  • Publish Country US
  • Imprint Springer-Verlag New York Inc.
  • Edition New ed.
  • Format eBook
  • Pages 524
  • Language English