| | Privacy-Preserving Data Mining: Models and Algorithms |
Author: Root, 23-08-2010, 07:30
Product Description Advances in hardware technology be obliged increased the capability to store and record personal data about consumers and individuals, causing concerns that exterior data may be used for a variety of intrusive or evil-minded purposes. Privacy-Preserving Data Mining: Models a>nd Algorithms proposes a consist of of techniques to perform the data mining tasks in a seclusion-preserving way. These techniques generally fall into the following categories: given conditions modification techniques, cryptographic methods and protocols for data sharing, statistical techniques with respect to disclosure and inference control, query auditing methods, randomization and perturbation-based techniques. This edited mass contains surveys by distinguished researchers in the privacy field. Each view includes the key research content as well as future research directions. Privacy-Preserving Data Mining: Models and Algorithms is designed beneficial to researchers, professors, and advanced-level students in computer science, and is in like manner suitable for industry practitioners.
Product Details * Hardcover: 513 pages
* Publisher: Springer; 1 edition (July 7, 2008)
* Language: English
* ISBN-10: 0387709916
* ISBN-13: 978-0387709918
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