ASSOCIATION RULE BIDING BASED ON DISTANCE AND INTERSECTION LATTICE

被引：0
|
作者：
Hai Quoc Le [1 ]
Arch-Int, Somjit [1 ]
Arch-Int, Ngamnij [1 ]
机构：
[1] Khon Kaen Univ, Fac Sci, Dept Comp Sci, Khon Kaen 40002, Thailand
来源：
4TH INTERNATIONAL CONFERENCE ON SOFTWARE TECHNOLOGY AND ENGINEERING (ICSTE 2012) | 2012年
关键词：
Association rule hiding; intersection lattice; distance; privacy preserving data mining;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper proposes a novel approach for hiding a set of sensitive association rules based on intersection lattice theory and distance concepts. It aims to examine the optimal distance from the top of the intersection lattice of frequent itemsets to the sensitive association rules (SR), as well as to the nonsensitive association rules, in order to hide SR in such a way that the data modifications cause the least side effects. The experiment indicates that the proposed algorithm achieves better results in minimizing side effects and complexity compared with the previous works.
引用
收藏
页码：227 / 235
页数：9
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