Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Very Good.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 197,80
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Majestic Books, Hounslow, Regno Unito
EUR 203,76
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 209,18
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 197,71
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 214,79
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 223,55
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 232,88
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 307,30
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 376 pages. 10.00x7.00x10.00 inches. In Stock.
Lingua: Inglese
Editore: Chapman And Hall/CRC Okt 2024, 2024
ISBN 10: 1032028033 ISBN 13: 9781032028033
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 195,80
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public face a challenging dilemma. They need to protect the privacy and confidentiality of data subjects and their attributes while providing data products that are useful for their intended purposes. In an age when information on data subjects is available from a wide range of data sources, as are the computational resources to obtain that information, this challenge is increasingly difficult. The Handbook of Sharing Confidential Data helps data stewards understand how tools from the data confidentiality literature-specifically, synthetic data, formal privacy, and secure computation-can be used to manage trade-offs in disclosure risk and data usefulness.Key features:- Provides overviews of the potential and the limitations of synthetic data, differential privacy, and secure computation- Offers an accessible review of methods for implementing differential privacy, both from methodological and practical perspectives- Presents perspectives from both computer science and statistical science for addressing data confidentiality and privacy- Describes genuine applications of synthetic data, formal privacy, and secure computation to help practitioners implement these approachesThe handbook is accessible to both researchers and practitioners who work with confidential data. It requires familiarity with basic concepts from probability and data analysis. 342 pp. Englisch.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 228,98
Quantità: Più di 20 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: moluna, Greven, Germania
EUR 218,59
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Joerg Drechsler is Head of the Department for Statistical Methods at the Institute for Employment Research in Nuremberg, Germany, and Professor of Statistical Science at the Institute for Statistics at the Ludwig-Maximilians-University in.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 214,96
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Statistical agencies, research organizations, companies, and other data stewards that seek to share data with the public face a challenging dilemma. They need to protect the privacy and confidentiality of data subjects and their attributes while providing data products that are useful for their intended purposes. In an age when information on data subjects is available from a wide range of data sources, as are the computational resources to obtain that information, this challenge is increasingly difficult. The Handbook of Sharing Confidential Data helps data stewards understand how tools from the data confidentiality literature-specifically, synthetic data, formal privacy, and secure computation-can be used to manage trade-offs in disclosure risk and data usefulness.Key features:- Provides overviews of the potential and the limitations of synthetic data, differential privacy, and secure computation- Offers an accessible review of methods for implementing differential privacy, both from methodological and practical perspectives- Presents perspectives from both computer science and statistical science for addressing data confidentiality and privacy- Describes genuine applications of synthetic data, formal privacy, and secure computation to help practitioners implement these approachesThe handbook is accessible to both researchers and practitioners who work with confidential data. It requires familiarity with basic concepts from probability and data analysis.