Privacy-Preserving Data Mining Models and Algorithms

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Synopsis

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.

Book details

Edition:
2008
Series:
Advances in Database Systems
Author:
Charu C. Aggarwal, Philip S. Yu
ISBN:
9780387709925
Related ISBNs:
9780387709918
Publisher:
Springer US
Pages:
N/A
Reading age:
Not specified
Includes images:
No
Date of addition:
2021-02-09
Usage restrictions:
Copyright
Copyright date:
2008
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction