Advances in Information Security

Privacy Preserving Data Mining

Authors: Vaidya, Jaideep, Clifton, Christopher W., Zhu, Yu Michael

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About this book

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.

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $119.00
price for USA in USD
  • ISBN 978-0-387-29489-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for USA in USD
  • ISBN 978-0-387-25886-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $169.00
price for USA in USD
  • ISBN 978-1-4419-3847-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Privacy Preserving Data Mining
Authors
Series Title
Advances in Information Security
Series Volume
19
Copyright
2006
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-29489-6
DOI
10.1007/978-0-387-29489-6
Hardcover ISBN
978-0-387-25886-7
Softcover ISBN
978-1-4419-3847-3
Series ISSN
1568-2633
Edition Number
1
Number of Pages
X, 122
Number of Illustrations
20 b/w illustrations
Topics