| Management number | 231650675 | Release Date | 2026/06/18 | List Price | US$73.96 | Model Number | 231650675 | ||
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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. Read more
| ISBN10 | 0387709916 |
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| ISBN13 | 978-0387709918 |
| Edition | 2008th |
| Language | English |
| Publisher | Springer |
| Dimensions | 6.25 x 1.25 x 9.5 inches |
| Item Weight | 1.9 pounds |
| Print length | 536 pages |
| Part of series | Advances in Database Systems |
| Publication date | July 7, 2008 |
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