A privacy-preserving mining algorithm of association rules in distributed databases

被引：4
|
作者：
Liu, Jie [1 ]
Piao, Xiufeng [1 ]
Huang, Shaobin [1 ]
机构：
[1] Harbin Engn Univ, Harbin, Peoples R China
来源：
FIRST INTERNATIONAL MULTI-SYMPOSIUMS ON COMPUTER AND COMPUTATIONAL SCIENCES (IMSCCS 2006), PROCEEDINGS, VOL 2 | 2006年
关键词：
D O I：
10.1109/IMSCCS.2006.164
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Association rules mining is one of the most important and fundamental problems in data mining. Recently, in need of security, more and more people are studying privacy-preserving association rules mining in distributed database. This paper addresses a secure mining algorithm of association rules, which builds a globe hash table to prune item-sets and incorporate cryptographic techniques to minimize the information shared.
引用
收藏
页码：746 / +
页数：2
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