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.
Description
State-of-the-art in privacy preserving data mining
%0 Journal Article
%1 verykios2004stateoftheart
%A Verykios, Vassilios S.
%A Bertino, Elisa
%A Fovino, Igor Nai
%A Provenza, Loredana Parasiliti
%A Saygin, Yucel
%A Theodoridis, Yannis
%C New York, NY, USA
%D 2004
%I ACM
%J SIGMOD Rec.
%K data-mining data-privacy sota
%N 1
%P 50--57
%R 10.1145/974121.974131
%T State-of-the-art in privacy preserving data mining
%U http://doi.acm.org/10.1145/974121.974131
%V 33
%X 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.
@article{verykios2004stateoftheart,
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.},
acmid = {974131},
added-at = {2012-04-17T13:54:02.000+0200},
address = {New York, NY, USA},
author = {Verykios, Vassilios S. and Bertino, Elisa and Fovino, Igor Nai and Provenza, Loredana Parasiliti and Saygin, Yucel and Theodoridis, Yannis},
biburl = {https://www.bibsonomy.org/bibtex/2747fdf5ff65a1ac39019272badcd4c38/beate},
description = {State-of-the-art in privacy preserving data mining},
doi = {10.1145/974121.974131},
interhash = {6aa306ff5db5bc0e65220b06653f3510},
intrahash = {747fdf5ff65a1ac39019272badcd4c38},
issn = {0163-5808},
issue_date = {March 2004},
journal = {SIGMOD Rec.},
keywords = {data-mining data-privacy sota},
month = mar,
number = 1,
numpages = {8},
pages = {50--57},
publisher = {ACM},
timestamp = {2012-04-17T13:54:02.000+0200},
title = {State-of-the-art in privacy preserving data mining},
url = {http://doi.acm.org/10.1145/974121.974131},
volume = 33,
year = 2004
}