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

ISBN 10: 1441943714 / ISBN 13: 9781441943712

Editore: Springer November 2010, 2010

Riguardo questo articolo

used trade paperback edition. lightly shelfworn, corners perhaps slightly bumped. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws. Codice articolo 1059789

Dati bibliografici

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

Casa editrice: Springer November 2010

Data di pubblicazione: 2010

Legatura: Trade Paperback

Condizione: VG

Descrizione articolo

Riassunto:

This book proposes a number of techniques to perform data mining tasks in a privacy-preserving way. The survey information included with each chapter is unique in terms of its focus on introducing the different topics more comprehensively.

Recensione:

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)