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SKU/Artículo: AMZ-1441943714

Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems, 34)

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Paperback

Hardcover

Paperback

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0.89 kg

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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.

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S/ 1,208.61

44% OFF

S/ 671.46

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Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems, 34)

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