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2021-01-01 10:19:00
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 Algorithmsproposes 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 Algorithmsis designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners.
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| Store | Availability | Book Format | Condition | Price |
|---|---|---|---|---|
| BetterWorld.com - New, Used, Rare Books & Textbooks | In Stock | Buy USD 43.68 | ||
| Indigo Books & Music | In Stock | Paperback | Paperback | Buy CAD 227.50 |
| Indigo Books & Music | In Stock | Buy CAD 203.39 |
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