Privacy Preserving Data Mining. Advances in Information Security.

Privacy Preserving Data Mining. Advances in Information Security.

Chris Clifton , Jaideep Vaidya , Michael Zhu
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Jan 1, 2006 · 英語 · 電子書籍 (124 ページ)
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本の詳細

形式 電子書籍
ページ数 124
言語 英語
公開されました Jan 1, 2006
出版社 Springer
ISBN-10 1280709529
ISBN-13 9781280709524

説明

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 US Senate that would have banned all data-mining programs (including research and development) by the US 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.

ジャンル

科学&技術
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