ENGLISH

Privacy Preserving Data Mining

Book information

Publisher
Springer
Year
2005
ISBN
9780387354163, 0387354166
Open Library ID
OL7445652M
Language
english
Format
PDF
Filesize
58 MB (61322974 bytes)
Series
Advances in Information Security
Edition
1
Pages
396\396
Time added
2010-02-18 13:16:04

Description

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.

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