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Privacy Preserving Data Mining

Privacy Preserving Data Mining

Christopher W. Clifton / Jaideep Vaidya / Yu Michael Zhu

133,31 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2005
Materia
Ciencias de la computación
ISBN:
9780387258867
133,31 €
IVA incluido
Disponible

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Sobre IBD

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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Otros libros del autor

  • Privacy Preserving Data Mining
    Christopher W. Clifton / Jaideep Vaidya / Yu Michael Zhu
    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. ...
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