INTRODUCTION TO PRIVACY-PRESERVING DATA PUBLISHING by Benjamin C.M. Fung, Ke Wang, Ada Wai-Chee Fu ( 9781420091489 )

Item Details

Title:

INTRODUCTION TO PRIVACY-PRESERVING DATA PUBLISHING
CONCEPTS AND TECHNIQUES

By:

Benjamin C.M. Fung, Ke Wang, Ada Wai-Chee Fu

Format:

Hardback

List price:

£130.00

Our price:

£117.00

Discount:

10% off

You save:

£13.00

ISBN 10:

1420091484

ISBN 13:

9781420091489

Availability:

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Publisher:

TAYLOR & FRANCIS LTD

Pub. date:

11 August, 2010

Series:

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Pages:

376

Description:

Offers the methods and tools for publishing useful information while preserving data privacy. This title presents a comprehensive review of the literature in privacy-preserving data publishing (PPDP), clarifying the differences between PPDP and other related research areas, and discusses the assumptions and desirable properties for PPDP.

Synopsis:

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.

Illustrations:

55 black & white illustrations, 102 black & white tables

Publication:

Imprint:

Chapman & Hall/CRC

Returns:

Returnable

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