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

Charu C. Aggarwal

ISBN 10: 1441943714 / ISBN 13: 9781441943712

Edité par Springer November 2010, 2010

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. N° de réf. du vendeur 1059789

Synopsis :

Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals. This has caused concerns that personal data may be used for a variety of intrusive or malicious purposes. 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. The survey information included with each chapter is unique in terms of its focus on introducing the different topics more comprehensively. Key advances in privacy that have appeared only in the past three years are covered. The book is designed for researchers, professors, and advanced-level students in computer science. It is also suitable for practitioners in industry.

Présentation de l'éditeur: 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.

Détails bibliographiques

Titre : Privacy-Preserving Data Mining: Models and ...
Éditeur : Springer November 2010
Date d'édition : 2010
Reliure : Trade Paperback
Etat : VG