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Sinopsis
Privacy preserving data mining implies the "mining" of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. Crystallizing much of the underlying foundation, the book aims to inspire further research in this new and growing area.
Privacy Preserving Data Mining is intended to be accessible to industry practitioners and policy makers, to help inform future decision making and legislation, and to serve as a useful technical reference.
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De la contraportada
Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, concerns are growing that use of this technology can violate individual privacy. These concerns have led to a backlash against the technology, for example, a "Data-Mining Moratorium Act" introduced in the U.S. Senate that would have banned all data-mining programs (including research and development) by the U.S. Department of Defense.
Privacy Preserving Data Mining provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. This book demonstrates how these approaches can achieve data mining, while operating within legal and commercial restrictions that forbid release of data. Furthermore, this research crystallizes much of the underlying foundation, and inspires further research in the area.
Privacy Preserving Data Mining is designed for a professional audience composed of practitioners and researchers in industry. This volume is also suitable for graduate-level students in computer science.
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Privacy Preserving Data Mining
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book on privacy preserving data mining - a real application of secure computationWritten for researchers who wish to enter the field and need to know the state of the art methods for developing algorithms, and how to prove privacyAl. Nº de ref. del artículo: 4174219
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Privacy Preserving Data Mining
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Springer US Nov 2010, 2010
ISBN 10: 1441938478
ISBN 13: 9781441938473
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Privacy preserving data mining implies the 'mining' of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. Crystallizing much of the underlying foundation, the book aims to inspire further research in this new and growing area.Privacy Preserving Data Mining is intended to be accessible to industry practitioners and policy makers, to help inform future decision making and legislation, and to serve as a useful technical reference. 132 pp. Englisch. Nº de ref. del artículo: 9781441938473
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Privacy Preserving Data Mining
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, concerns are growing that use of this technology can violate individual privacy. These concerns have led to a backlash against the technology, for example, a 'Data-Mining Moratorium Act' introduced in the U.S. Senate that would have banned all data-mining programs (including research and development) by the U.S. Department of Defense.Privacy Preserving Data Mining provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. This book demonstrates how these approaches can achieve data mining, while operating within legal and commercial restrictions that forbid release of data. Furthermore, this research crystallizes much of the underlying foundation, and inspires further research in the area.Privacy Preserving Data Mining is designed for a professional audience composed of practitioners and researchers in industry. This volume is also suitable for graduate-level students in computer science. Nº de ref. del artículo: 9781441938473
Cantidad disponible: 1 disponibles
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Privacy Preserving Data Mining
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Springer US, Springer New York Nov 2010, 2010
ISBN 10: 1441938478
ISBN 13: 9781441938473
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data mining has emerged as a significant technology for gaining knowledge from vast quantities of data. However, concerns are growing that use of this technology can violate individual privacy. These concerns have led to a backlash against the technology, for example, a 'Data-Mining Moratorium Act' introduced in the U.S. Senate that would have banned all data-mining programs (including research and development) by the U.S. Department of Defense.Privacy Preserving Data Mining provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. This book demonstrates how these approaches can achieve data mining, while operating within legal and commercial restrictions that forbid release of data. Furthermore, this research crystallizes much of the underlying foundation, and inspires further research in the area.Privacy Preserving Data Mining is designed for a professional audience composed of practitioners and researchers in industry. This volume is also suitable for graduate-level students in computer science.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch. Nº de ref. del artículo: 9781441938473
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Privacy Preserving Data Mining (Advances in Information Security, 19)
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Privacy Preserving Data Mining
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. pp. 132. Nº de ref. del artículo: 263099767
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Privacy Preserving Data Mining
Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. 121 pages. 9.00x6.00x0.30 inches. In Stock. Nº de ref. del artículo: x-1441938478
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Privacy Preserving Data Mining
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
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Condición: New. Print on Demand pp. 132 20 Illus. Nº de ref. del artículo: 5829544
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Privacy Preserving Data Mining
Publicado por
Springer-Verlag New York Inc., 2010
ISBN 10: 1441938478
ISBN 13: 9781441938473
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Privacy Preserving Data Mining (Advances in Information Security, 19)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: ABLIING23Mar2411530295359
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