Using data cube for mining of hybrid-dimensional association rules

被引：0

作者：

Li, ZJ ^{[1
]}

Huang, FX

Zhou, DQ

Zhang, P

机构：

[1] Dalian Univ Technol, Dept Comp, Liaoning 116024, Peoples R China

[2] Dalian Univ Technol, Software Sch, Liaoning 116024, Peoples R China

[3] Dalian Univ Technol, Inst Informat & Decis Technol, Liaoning 116024, Peoples R China

来源：

GRID AND COOPERATIVE COMPUTING, PT 2 | 2004年 / 3033卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the mining of single-dimensional association rule and non-repetitive predicate multi-dimensional association rule were integrated. We proposed an algorithm for mining of hybrid-dimensional association rule using a data cube structure. Preliminary result shows that when the number of tuples is large, the algorithm is efficient.

引用

页码：899 / 902

页数：4