Computers & Internet Books:

Privacy-Preserving Data Mining

Models and Algorithms
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$599.00
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Description

Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques. 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. Privacy-Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners.  
Release date NZ
July 7th, 2008
Contributors
  • Edited by Charu C. Aggarwal
  • Edited by Philip S. Yu
Pages
514
Audiences
  • Postgraduate, Research & Scholarly
  • Undergraduate
Illustrations
XXII, 514 p.
Dimensions
156x234x30
ISBN-13
9780387709918
Product ID
2589472

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