Privacy-preserving Data Mining : Models and Algorithms Hardback
Edited by Charu C. Aggarwal, Philip S. Yu
Part of the Advances in Database Systems series
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.
- Format: Hardback
- Pages: 514 pages, XXII, 514 p.
- Publisher: Springer-Verlag New York Inc.
- Publication Date: 01/07/2008
- Category: Data mining
- ISBN: 9780387709918