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.
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