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Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems) (Repost)

Posted on 2011-01-22




Name:Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems) (Repost)
ASIN/ISBN:0387709916
Publisher:Springer
Publish Date:2008
Pages:513
File size:11.02 Mb
Publisher: Springer
Publish Date: 2008
ISBN: 0387709916
Pages: 513
File Type: PDF
File Size: 11,02 MB
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Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems)

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.

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