Research into the Algorithm of Frequent Pattern Mining Based on Across Linker

被引：0
|
作者：
Zhao, Mingru [1 ]
Sun, Yuan [2 ]
Guo, Jian [2 ]
Dong, Pingping [2 ]
机构：
[1] Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China
[2] Sch Iformat Beijing Wuzi Univ, Beijing, Peoples R China
来源：
MECHANICAL ENGINEERING AND INTELLIGENT SYSTEMS, PTS 1 AND 2 | 2012年 / 195-196卷
关键词：
Apriori algorithm; across linker; frequent itemset; association rules;
D O I：
10.4028/www.scientific.net/AMM.195-196.984
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Frequent itemsets mining is an important data mining task and a focused theme in data mining research. Apriori algorithm is one of the most important algorithm of mining frequent itemsets. However, the Apriori algorithm scans the database too many times, so its efficiency is relatively low. The paper has therefore conducted a research on the mining frequent itemsets algorithm based on a across linker. Through comparing with the classical algorithm, the improved algorithm has obvious advantages.
引用
收藏
页码：984 / +
页数：2
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