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商品詳細
Privacy-Preserving Data Mining: Models and Algorithms. 2008 ed.
・ISBN 978-0-387-70991-8 hard EUR 219.99
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| 著者・編者 | Aggarwal, Charu C. / Yu, Philip S. (eds.), |
|---|---|
| シリーズ | (Advances in Database Systems) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2008 |
| ページ数 | 514 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-43747＞ |
解説
Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes.
Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques.
This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions.
Privacy-Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners.