Privacy Preserving Data Mining
Author | : Jaideep Vaidya |
Publisher | : Springer Science & Business Media |
Total Pages | : 146 |
Release | : 2005-11-29 |
ISBN-10 | : 0387258868 |
ISBN-13 | : 9780387258867 |
Rating | : 4/5 (68 Downloads) |
Download or read book Privacy Preserving Data Mining written by Jaideep Vaidya and published by Springer Science & Business Media. This book was released on 2005-11-29 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Privacy preserving data mining implies the "mining" of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data mining. Crystallizing much of the underlying foundation, the book aims to inspire further research in this new and growing area. Privacy Preserving Data Mining is intended to be accessible to industry practitioners and policy makers, to help inform future decision making and legislation, and to serve as a useful technical reference.