Privacy-Preserving Data Mining: Models and Algorithms

Privacy-Preserving Data Mining: Models and Algorithms

by Charu C. Aggarwal, Philip S. Yu
     
 

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

See more details below

Overview

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.

Editorial Reviews

From the Publisher
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)

Product Details

ISBN-13:
9781441943712
Publisher:
Springer US
Publication date:
11/19/2010
Series:
Advances in Database Systems Series , #34
Edition description:
Softcover reprint of hardcover 1st ed. 2008
Pages:
514
Product dimensions:
6.14(w) x 9.21(h) x 1.08(d)

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >