Privacy-Preserving Data Mining
Models and Algorithms
Charu C Aggarwal editor Philip S Yu editor
Format:Hardback
Publisher:Springer-Verlag New York Inc.
Published:7th Jul '08
Currently unavailable, currently targeted to be due back around 12th April 2025, but could change
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.
From the reviews:
"This book provides an exceptional summary of the state-of-the-art accomplishments in the area of privacy-preserving data mining, discussing the most important algorithms, models, and applications in each direction. The target audience includes researchers, graduate students, and practitioners who are interested in this area. … I recommend this book to all readers interested in privacy-preserving data mining." (Aris Gkoulalas-Divanis, ACM Computing Reviews, October, 2008)
ISBN: 9780387709918
Dimensions: unknown
Weight: 2040g
514 pages
2008 ed.