Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques
Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Int
1111030240
Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques
Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Int
82.99 In Stock
Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques

Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques

Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques
Add to Wishlist
Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques

Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques

Overview

Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Int

Product Details

ISBN-13: 9781040206669
Publisher: CRC Press
Publication date: 08/02/2010
Sold by: Barnes & Noble
Format: eBook
Pages: 376
File size: 4 MB

About the Author

Benjamin C. M. Fung is an assistant professor in the Concordia Institute for Information Systems Engineering at Concordia University in Montreal, Quebec. Dr. Fung is also a research scientist and the treasurer of the National Cyber-Forensics and Training Alliance Canada (NCFTA Canada).

Ke Wang is a professor in the School of Computing Science at Simon Fraser University in Burnaby, British Columbia.

Ada Wai-Chee Fu is an associate professor in the Department of Computer Science and Engineering at the Chinese University of Hong Kong.

Philip S. Yu is a professor in the Department of Computer Science and the Wexler Chair in Information and Technology at the University of Illinois at Chicago.

Table of Contents

The Fundamentals. Anonymization for Data Mining. Extended Data Publishing Scenarios. Anonymizing Complex Data. References.
From the B&N Reads Blog
Page 1 of

Related Subjects

Computers
Computer Programming
Game Programming
Computers
Computer Programming
Game Programming

Customer Reviews