Name: Privacy-Preserving Data Mining By Charu C. Aggarwal
SKU: 9781441943712
Price: 266.99 USD
Availability: InStock

Privacy-Preserving Data Mining Summary

Privacy-Preserving Data Mining: Models and Algorithms by Charu C. Aggarwal

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.

Privacy-Preserving Data Mining Reviews

From the reviews:

This book provides an exceptional summary of the state-of-the-art accomplishments in the area of privacy-preserving data mining, discussing the most important algorithms, models, and applications in each direction. The target audience includes researchers, graduate students, and practitioners who are interested in this area. ... I recommend this book to all readers interested in privacy-preserving data mining. (Aris Gkoulalas-Divanis, ACM Computing Reviews, October, 2008)

An Introduction to Privacy-Preserving Data Mining.- A General Survey of Privacy-Preserving Data Mining Models and Algorithms.- A Survey of Inference Control Methods for Privacy-Preserving Data Mining.- Measures of Anonymity.- k-Anonymous Data Mining: A Survey.- A Survey of Randomization Methods for Privacy-Preserving Data Mining.- A Survey of Multiplicative Perturbation for Privacy-Preserving Data Mining.- A Survey of Quantification of Privacy Preserving Data Mining Algorithms.- A Survey of Utility-based Privacy-Preserving Data Transformation Methods.- Mining Association Rules under Privacy Constraints.- A Survey of Association Rule Hiding Methods for Privacy.- A Survey of Statistical Approaches to Preserving Confidentiality of Contingency Table Entries.- A Survey of Privacy-Preserving Methods Across Horizontally Partitioned Data.- A Survey of Privacy-Preserving Methods Across Vertically Partitioned Data.- A Survey of Attack Techniques on Privacy-Preserving Data Perturbation Methods.- Private Data Analysis via Output Perturbation.- A Survey of Query Auditing Techniques for Data Privacy.- Privacy and the Dimensionality Curse.- Personalized Privacy Preservation.- Privacy-Preserving Data Stream Classification.

Additional information

Sku

NLS9781441943712

ISBN 13

9781441943712

ISBN 10

1441943714

Title

Privacy-Preserving Data Mining: Models and Algorithms by Charu C. Aggarwal

Author

Charu C. Aggarwal

Series

Advances in Database Systems

Condition

New

Binding type

Paperback

Publisher

Springer-Verlag New York Inc.

Year published

2010-11-19

Number of pages

514

Prizes

N/A

Cover note

Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

Note

This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

Privacy-Preserving Data Mining Charu C. Aggarwal

Privacy-Preserving Data Mining by Charu C. Aggarwal

Summary

Privacy-Preserving Data Mining Summary

Privacy-Preserving Data Mining: Models and Algorithms by Charu C. Aggarwal

Privacy-Preserving Data Mining Reviews

Table of Contents

Additional information

Customer Reviews - Privacy-Preserving Data Mining