Privacy Preserving Data Mining (Advances in Information Security) by Jaideep VaidyaTitle: Privacy Preserving Data Mining (Advances in Information Security)
Author: Jaideep Vaidya
Publisher: Springer; Softcover reprint of hardcover 1st ed. 2006 edition (November 19, 2010)
Subcategory: Networking & Cloud Computing
Size PDF: 1453 kb
Size Fb2: 1382 kb
Pages: 122 pages
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Privacy Preserving Data Mining (Advances in Information Security) by Jaideep Vaidya
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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.