Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems (34))

ISBN 10: 0387709916 / ISBN 13: 9780387709918

Editore: Springer, 2008

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Titolo: Privacy-Preserving Data Mining: Models and ...

Casa editrice: Springer

Data di pubblicazione: 2008

Legatura: Hardcover

Condizione: Like New

Tipologia articolo: book

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Riassunto:

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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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)