Association Rules Mining Based on Minimal Generator of Frequent Closed Itemset

被引：1

作者：

Chen, Xiao-mei ^{[1
]}

Wang, Chang-ying ^{[1
]}

Cao, Han ^{[2
]}

机构：

[1] Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou 350002, Peoples R China

[2] Shaanxi Normal Univ, Dept Comp Sci, Xian 710062, Peoples R China

来源：

ECOSYSTEM ASSESSMENT AND FUZZY SYSTEMS MANAGEMENT | 2014年 / 254卷

关键词：

Frequent closed itemset; Adjacent map; Minimal generator;

D O I：

10.1007/978-3-319-03449-2_26

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As there is rules redundancy in mining association rules with traditional methods, an improvement is presented by increasing combinations of itemsets based on minimal generator method; thus, the loss of minimal generator items of frequent closed itemsets is avoided, and the concept and process of rule generation algorithm are further simplified, which makes the algorithm more readable and easier to implement. Experimental results show that the algorithm provide better integrity of minimal generator items and more effective association rules without increasing timing cost.

引用

页码：275 / 282

页数：8