Recent research on privacy preserving data mining

被引：0
|
作者：
Gurevich, Alex [1 ]
Gudes, Ehud [1 ]
机构：
[1] Ben Gurion Univ Negev, Dept Comp Sci, IL-84105 Beer Sheva, Israel
来源：
INFORMATION SYSTEMS SECURITY, PROCEEDINGS | 2006年 / 4332卷
关键词：
D O I：
暂无
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 review our recent work on privacy preserving data mining and present a new algorithm for association rules mining in vertically partitioned databases that doesnt use perturbation or secure computation.
引用
收藏
页码：377 / +
页数：2
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