State-of-the-art in Privacy Preserving Data Mining
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Author
V.Verykios, E. Bertino, I. Nai Fovino, L.Parasiliti Provenza, Y.Saygin, Y. Theodoridis
Tech report number
CERIAS TR 2004-63
Entry type
article
Abstract
We provide here an overview of the new and rapidly emerging research area of privacy preserving data mining. We also propose a classification hierarchy that sets the basis for analyzing the work which has been performed in this context. A detailed review of the work accomplished in this area is also given, along with the coordinates of each work to the classification hierarchy. A brief evaluation is performed, and some initial conclusions are made.
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Date
2004 – 03
Journal
ACM SIGMOD Record
Key alpha
Verykios
Number
1
Volume
33
Publication Date
2004-03-01
Contents
1. Introduction
2. Classification of Privacy Preserving Techniques
3. Review of Privacy Preserving Algorithms
4. Evaluation of Privacy Preserving Algorithms
5. Conclusions
Language
English
Location
A hard-copy of this is in the CERIAS Library
Subject
Data Mining