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Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems)
Published by Springer November 2010, 2010
ISBN 10: 1441943714 ISBN 13: 9781441943712
Language: English
Trade Paperback. Condition: VG. used trade paperback edition. lightly shelfworn, corners perhaps slightly bumped. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws.
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Hardcover. Condition: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.95.
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Privacy-Preserving Data Mining : Models and Algorithms
Seller: Better World Books Ltd, Dunfermline, United Kingdom
Seller rating 5 out of 5 stars
First Edition
US$ 78.39
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Add to basketCondition: Very Good. 1st Edition. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
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US$ 147.88
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US$ 250.36
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US$ 251.98
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US$ 250.64
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Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems, 34)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 254.48
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Privacy-Preserving Data Mining : Models and Algorithms
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 254.46
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Condition: New.
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Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems, 34)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 282.12
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Privacy-Preserving Data Mining
Published by Springer US, Springer US Nov 2010, 2010
ISBN 10: 1441943714 ISBN 13: 9781441943712
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 281.56
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Add to basketTaschenbuch. Condition: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 536 pp. Englisch.
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US$ 291.02
Convert currencyUS$ 56.89 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: New. 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.
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Privacy-Preserving Data Mining : Models and Algorithms
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 330.30
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US$ 319.26
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US$ 289.18
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Add to basketBuch. 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 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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Condition: New. pp. 536.
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Condition: New. pp. 536.
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Privacy-Preserving Data Mining : Models and Algorithms
Published by Springer US, Springer US, 2010
ISBN 10: 1441943714 ISBN 13: 9781441943712
Language: English
US$ 292.89
Convert currencyUS$ 74.35 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. 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 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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US$ 380.78
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Add to basketPaperback. Condition: Brand New. 513 pages. 9.30x6.10x1.20 inches. In Stock.
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US$ 236.38
Convert currencyUS$ 56.89 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: 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.
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Privacy-Preserving Data Mining
Published by Springer Us Jul 2008, 2008
ISBN 10: 0387709916 ISBN 13: 9780387709918
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 281.56
Convert currencyUS$ 26.71 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: 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. 514 pp. Englisch.
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Privacy-Preserving Data Mining
Published by Springer US, Springer US Nov 2010, 2010
ISBN 10: 1441943714 ISBN 13: 9781441943712
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 281.56
Convert currencyUS$ 26.71 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: 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.
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US$ 375.01
Convert currencyUS$ 8.72 shipping from United Kingdom to U.S.A.Quantity: 4 available
Add to basketCondition: New. Print on Demand pp. 536 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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US$ 375.28
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Add to basketCondition: New. Print on Demand pp. 536 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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US$ 403.39
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Add to basketCondition: New. PRINT ON DEMAND pp. 536.
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US$ 407.27
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Add to basketCondition: New. PRINT ON DEMAND pp. 536.
