Introduction to Privacy-Preserving Data Publishing PDF
By:Benjamin C.M. Fung,Ke Wang,Ada Wai-Chee Fu,Philip S. Yu
Published on 2010-08-02 by CRC Press
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.
This Book was ranked at 10 by Google Books for keyword medical computer applications anonymized.
Book ID of Introduction to Privacy-Preserving Data Publishing's Books is fUopcSpQuNMC, Book which was written byBenjamin C.M. Fung,Ke Wang,Ada Wai-Chee Fu,Philip S. Yuhave ETAG "jUewl/InNa4"
Book which was published by CRC Press since 2010-08-02 have ISBNs, ISBN 13 Code is 9781420091502 and ISBN 10 Code is 1420091506
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