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Viac informácií o knihe Privacy Preserving Data Mining

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• Anotácia kniha
• Obľúbené z iného súdka

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Anotácia knihy

Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, concerns are growing that useof 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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer security Data encryption

• Celý názov: Privacy Preserving Data Mining
• Autor: Jaideep Vaidya, Christopher W. Clifton, Yu Michael Zhu
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 122
• EAN: 9780387258867
• ISBN: 0387258868
• ID: 01381344
• Nakladateľ: Springer-Verlag New York Inc.
• Hmotnosť: 810 g
• Rozmery: 235 × 155 × 15 mm
• Dátum vydania: 29. November 2005

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