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Privacy Preserving Data Mining Jaideep Vaidya

Privacy Preserving Data Mining By Jaideep Vaidya

Privacy Preserving Data Mining by Jaideep Vaidya


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Summary

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.

Privacy Preserving Data Mining Summary

Privacy Preserving Data Mining by Jaideep Vaidya

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.

Table of Contents

Privacy and Data Mining.- What is Privacy?.- Solution Approaches / Problems.- Predictive Modeling for Classification.- Predictive Modeling for Regression.- Finding Patterns and Rules (Association Rules).- Descriptive Modeling (Clustering, Outlier Detection).- Future Research - Problems remaining.

Additional information

NLS9781441938473
9781441938473
1441938478
Privacy Preserving Data Mining by Jaideep Vaidya
New
Paperback
Springer-Verlag New York Inc.
2010-11-19
122
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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