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Privacy Preserving Data Mining

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Privacy Preserving Data Mining Synopsis

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 "Data-Mining Moratorium Act" 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.

About This Edition

ISBN: 9780387258867
Publication date:
Author: Jaideep Vaidya, Christopher Wade Clifton, Michael Zhu
Publisher: Springer an imprint of Springer US
Format: Hardback
Pagination: 120 pages
Series: Advances in Information Security
Genres: Data mining
Expert systems / knowledge-based systems
Data warehousing
Information retrieval
Data encryption
Information theory
Coding theory and cryptology
Network hardware
Algorithms and data structures
Databases