Introduction to Privacy-Preserving Data Publishing
Concepts and Techniques
Published on 2. August 2010
376 pages
978-1-040-20666-9 (ISBN)
Description
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
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
File size
3,47 MB
ISBN-13
978-1-040-20666-9 (9781040206669)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Benjamin C.M. Fung | Ke Wang | Ada Wai-Chee Fu
Introduction to Privacy-Preserving Data Publishing
Concepts and Techniques
Book
09/2019
1st Edition
Chapman & Hall/CRC
€94.60
Shipment within 15-20 days
Benjamin C.M. Fung | Ke Wang | Ada Wai-Chee Fu
Introduction to Privacy-Preserving Data Publishing
Concepts and Techniques
Book
08/2010
1st Edition
Chapman & Hall/CRC
€197.20
Shipment within 15-20 days
Persons
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.
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.
Content
The Fundamentals. Anonymization for Data Mining. Extended Data Publishing Scenarios. Anonymizing Complex Data. References.
