State-of-the-art in privacy preserving data mining

被引：396

作者：

Verykios, VS ^{[1
]}

Bertino, E

Fovin, IN

Provenza, LP

Saygin, Y

Theodoridis, Y

机构：

[1] Acad & Res Comp Technol Inst, Athens, Greece

[2] Univ Milan, Dipartimento Sci Informaz, I-20122 Milan, Italy

[3] SABANCI Univ, Fac Engn & Nat Sci, Istanbul, Turkey

来源：

SIGMOD RECORD | 2004年 / 33卷 / 01期

关键词：

D O I：

10.1145/974121.974131

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：50 / 57

页数：8

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