Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

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9781420091489: Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques presents state-of-the-art information sharing and data integration methods that take into account privacy and data mining requirements.

The first part of the book discusses the fundamentals of the field. In the second part, the authors present anonymization methods for preserving information utility for specific data mining tasks. The third part examines the privacy issues, privacy models, and anonymization methods for realistic and challenging data publishing scenarios. While the first three parts focus on anonymizing relational data, the last part studies the privacy threats, privacy models, and anonymization methods for complex data, including transaction, trajectory, social network, and textual data.

This book not only explores privacy and information utility issues but also efficiency and scalability challenges. In many chapters, the authors highlight efficient and scalable methods and provide an analytical discussion to compare the strengths and weaknesses of different solutions.

Biografía del autor:

Benjamin C. M. Fung is an assistant professor in the Concordia Institute for Information Systems Engineering at Concordia University in Montreal, Quebec. Dr. Fung is also a research scientist and the treasurer of the National Cyber-Forensics and Training Alliance Canada (NCFTA Canada).

Ke Wang is a professor in the School of Computing Science at Simon Fraser University in Burnaby, British Columbia.

Ada Wai-Chee Fu is an associate professor in the Department of Computer Science and Engineering at the Chinese University of Hong Kong.

Philip S. Yu is a professor in the Department of Computer Science and the Wexler Chair in Information and Technology at the University of Illinois at Chicago.

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Benjamin C.M. Fung, Ke Wang, Ada Wai-Chee Fu
Publicado por Taylor Francis Ltd, United States (2010)
ISBN 10: 1420091484 ISBN 13: 9781420091489
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Descripción Taylor Francis Ltd, United States, 2010. Hardback. Condición: New. New.. Language: English . Brand New Book. Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques presents state-of-the-art information sharing and data integration methods that take into account privacy and data mining requirements. The first part of the book discusses the fundamentals of the field. In the second part, the authors present anonymization methods for preserving information utility for specific data mining tasks. The third part examines the privacy issues, privacy models, and anonymization methods for realistic and challenging data publishing scenarios. While the first three parts focus on anonymizing relational data, the last part studies the privacy threats, privacy models, and anonymization methods for complex data, including transaction, trajectory, social network, and textual data. This book not only explores privacy and information utility issues but also efficiency and scalability challenges. In many chapters, the authors highlight efficient and scalable methods and provide an analytical discussion to compare the strengths and weaknesses of different solutions. Nº de ref. del artículo: AA69781420091489

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Descripción Taylor Francis Ltd, United States, 2010. Hardback. Condición: New. New.. Language: English . Brand New Book. Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques presents state-of-the-art information sharing and data integration methods that take into account privacy and data mining requirements. The first part of the book discusses the fundamentals of the field. In the second part, the authors present anonymization methods for preserving information utility for specific data mining tasks. The third part examines the privacy issues, privacy models, and anonymization methods for realistic and challenging data publishing scenarios. While the first three parts focus on anonymizing relational data, the last part studies the privacy threats, privacy models, and anonymization methods for complex data, including transaction, trajectory, social network, and textual data. This book not only explores privacy and information utility issues but also efficiency and scalability challenges. In many chapters, the authors highlight efficient and scalable methods and provide an analytical discussion to compare the strengths and weaknesses of different solutions. Nº de ref. del artículo: AA69781420091489

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Benjamin C.M. Fung (author), Ke Wang (author), Ada Wai-Chee Fu (author), Philip S. Yu (author)
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Fung, Benjamin C.M., Wang, Ke, Fu, Ada W
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FUNG, BENJAMIN C.M.; WANG, KE; FU, ADA WAI-CHEE; YU, PHILIP S.
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Descripción Chapman and Hall/CRC, 2010. Hardback. Condición: NEW. 9781420091489 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Nº de ref. del artículo: HTANDREE0183340

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Benjamin C.M. Fung, Ke Wang, Ada Wai-Chee Fu
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Descripción Taylor Francis Ltd, United States, 2010. Hardback. Condición: New. New.. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques presents state-of-the-art information sharing and data integration methods that take into account privacy and data mining requirements. The first part of the book discusses the fundamentals of the field. In the second part, the authors present anonymization methods for preserving information utility for specific data mining tasks. The third part examines the privacy issues, privacy models, and anonymization methods for realistic and challenging data publishing scenarios. While the first three parts focus on anonymizing relational data, the last part studies the privacy threats, privacy models, and anonymization methods for complex data, including transaction, trajectory, social network, and textual data. This book not only explores privacy and information utility issues but also efficiency and scalability challenges. In many chapters, the authors highlight efficient and scalable methods and provide an analytical discussion to compare the strengths and weaknesses of different solutions. Nº de ref. del artículo: BTE9781420091489

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Benjamin C.M. Fung, Ke Wang, Ada Wai-Chee Fu, Philip S. Yu
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Descripción Chapman and Hall/CRC, 2010. Hardcover. Condición: New. 1. Nº de ref. del artículo: DADAX1420091484

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Fung, Benjamin C.M. (Author)/ Wang, Ke (Author)/ Fu, Ada Wai-Chee (Author)/ Yu, Philip S. (Author)
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Descripción Chapman & Hall, 2010. Hardcover. Condición: Brand New. 1st edition. 376 pages. 9.50x6.25x1.00 inches. In Stock. Nº de ref. del artículo: __1420091484

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