Privacy Preserving Data Mining Models (12 results)

Language: English
Published by Springer, 2010
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Language: English
Published by Springer, 2008
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Language: English
Published by Springer, 2008
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Language: English
Published by Springer, 2008
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Language: English
Published by Springer, 2010
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Language: English
Published by Springer, 2008
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Language: English
Published by Springer, 2008
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Language: English
Published by Springer, 2008
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Language: English
Published by Springer Nature B.V., 2008
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 Minin…g: 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.

Language: English
Published by Springer US, Springer US, 2010
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 Dat…a 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.

Language: English
Published by Springer, 2008
- Softcover
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Paperback. Condition: Brand New. 513 pages. 9.30x6.10x1.20 inches. In Stock.