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Privacy Preserving Data Mining 1st Edition Jaideep Vaidya Yu Michael Zhu

  • SKU: BELL-4239774
Privacy Preserving Data Mining 1st Edition Jaideep Vaidya Yu Michael Zhu
$ 31.00 $ 45.00 (-31%)

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Privacy Preserving Data Mining 1st Edition Jaideep Vaidya Yu Michael Zhu instant download after payment.

Publisher: Springer US
File Extension: PDF
File size: 1.6 MB
Pages: 122
Author: Jaideep Vaidya, Yu Michael Zhu, Christopher W. Clifton (auth.)
ISBN: 9780387258867, 9780387294896, 0387258868, 0387294899
Language: English
Year: 2006
Edition: 1

Product desciption

Privacy Preserving Data Mining 1st Edition Jaideep Vaidya Yu Michael Zhu by Jaideep Vaidya, Yu Michael Zhu, Christopher W. Clifton (auth.) 9780387258867, 9780387294896, 0387258868, 0387294899 instant download after payment.

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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