Articles liés à Privacy-Preserving Data Mining: Models and Algorithms
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Présentation de l'éditeur
Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. 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 of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.
Présentation de l'éditeur
This book proposes a number of techniques to perform data mining tasks in a privacy-preserving way. The survey information included with each chapter is unique in terms of its focus on introducing the different topics more comprehensively.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer
- Date d'édition2010
- ISBN 10 1441943714
- ISBN 13 9781441943712
- ReliureBroché
- Langueanglais
- Nombre de pages536
- ÉditeurAggarwal Charu C., Yu Philip S.
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Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems)
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Springer November 2010, 2010
ISBN 10 : 1441943714
ISBN 13 : 9781441943712
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Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems, 34)
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ISBN 13 : 9781441943712
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Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems)
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ISBN 13 : 9781441943712
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Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems, 34)
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Privacy-Preserving Data Mining
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Occupies an important niche in the privacy-preserving data mining fieldSurvey information included with each chapter is unique in terms of its focus on introducing the different topics more comprehensivelyProvides relative und. N° de réf. du vendeur 4174721
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Privacy-Preserving Data Mining
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Springer US, Springer US Nov 2010, 2010
ISBN 10 : 1441943714
ISBN 13 : 9781441943712
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 536 pp. Englisch. N° de réf. du vendeur 9781441943712
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Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems, 34)
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Privacy-Preserving Data Mining : Models and Algorithms
Edité par
Springer US, Springer US, 2010
ISBN 10 : 1441943714
ISBN 13 : 9781441943712
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : 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 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. N° de réf. du vendeur 9781441943712
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Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems)
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