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 · Inglés · Libro electrónico (124 páginas)
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Detalles del libro

Formato Libro electrónico
Páginas 124
Idioma Inglés
Publicado Jan 1, 2006
Editorial Springer
ISBN-10 1280709529
ISBN-13 9781280709524

Descripción

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.

Géneros

Ciencia y Tecnología
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