Privacy-preserving Data Mining : Models and Algorithms, Hardback Book

Privacy-preserving Data Mining : Models and Algorithms Hardback

Edited by Charu C. Aggarwal, Philip S. Yu

Part of the Advances in Database Systems series

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Description

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.

Information

  • Format: Hardback
  • Pages: 514 pages, XXII, 514 p.
  • Publisher: Springer-Verlag New York Inc.
  • Publication Date:
  • Category: Data mining
  • ISBN: 9780387709918

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