| 书目名称 | Privacy Preserving Data Mining |
| 编辑 | Jaideep Vaidya,Yu Michael Zhu,Christopher W. Clift |
| 视频video | |
| 概述 | First book on privacy preserving data mining - a real application of secure computation.Written for researchers who wish to enter the field and need to know the state of the art methods for developing |
| 丛书名称 | Advances in Information Security |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2006 |
| 关键词 | classification; clustering; computer science; data mining; privacy |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-29489-6 |
| isbn_softcover | 978-1-4419-3847-3 |
| isbn_ebook | 978-0-387-29489-6Series ISSN 1568-2633 Series E-ISSN 2512-2193 |
| issn_series | 1568-2633 |
| copyright | Springer-Verlag US 2006 |
发表于 2025-3-21 17:15:30
