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

页码：746 / +

页数：2

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