Privacy Preserving Data Mining

Jaideep Vaidya

ISBN 10: 0387258868 / ISBN 13: 9780387258867

Editore: Springer-Verlag New York Inc., 2005

Riguardo questo articolo

This item is printed on demand. New copy - Usually dispatched within 5-9 working days 699.

Codice articolo C9780387258867

Dati bibliografici

• Titolo: Privacy Preserving Data Mining
• Editore: Springer-Verlag New York Inc.
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 0387258868
• ISBN 13: 9780387258867
• Rilegatura: Hardback
• Condizione: New
• Peso: 699 grammi

Descrizione articolo

Riassunto

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.