Privacy-Preserving Data Mining - Models and Algorithms (Paperback, Softcover reprint of hardcover 1st ed. 2008)


Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.


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Product Description

Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.

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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

Advances in Database Systems, 34

Release date

November 2010

Availability

Expected to ship within 10 - 15 working days

First published

2008

Editors

,

Dimensions

235 x 155 x 31mm (L x W x T)

Format

Paperback

Pages

514

Edition

Softcover reprint of hardcover 1st ed. 2008

ISBN-13

978-1-4419-4371-2

Barcode

9781441943712

Categories

LSN

1-4419-4371-4



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