Privacy Preserving Data Mining

Privacy Preserving Data Mining

EnglishEbook
Vaidya, Jaideep
Springer US
EAN: 9780387294896
Available online
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Detailed information

Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, concerns are growing that use of this technology can violate individual privacy. These concerns have led to a backlash against the technology, for example, a &quote;Data-Mining Moratorium Act&quote; introduced in the U.S. Senate that would have banned all data-mining programs (including research and development) by the U.S. Department of Defense.Privacy Preserving Data Mining provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. This book demonstrates how these approaches can achieve data mining, while operating within legal and commercial restrictions that forbid release of data. Furthermore, this research crystallizes much of the underlying foundation, and inspires further research in the area.Privacy Preserving Data Mining is designed for a professional audience composed of practitioners and researchers in industry. This volume is also suitable for graduate-level students in computer science.
EAN 9780387294896
ISBN 0387294899
Binding Ebook
Publisher Springer US
Publication date September 28, 2006
Language English
Country United States
Authors Clifton, Christopher W.; Vaidya, Jaideep; Zhu, Yu Michael
Series Advances in Information Security
Manufacturer information
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