An improved algorithm for mining association rules

被引：0
|
作者：
Zhang, X. [1 ]
He, Y. [1 ]
Wan, J. [1 ]
Zhao, H. [1 ]
机构：
[1] Software Center, Northeastern University, Shenyang 110004, China
来源：
Dongbei Daxue Xuebao/Journal of Northeastern University | 2001年 / 22卷 / 04期
关键词：
Algorithms - Database systems - Input output programs - Knowledge based systems - Storage allocation (computer);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Based on the Apriori Algorithm, an improved algorithm for the discovery of association rules in large database was presented. The method only needs one pass over the database, and reduces I/O overheads greatly. Its memory usage is moderate, so this algorithm is especially suitable for large database. Experiments with synthetic database were made. The algorithm is better than some previous algorithms for very large databases.
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收藏
页码：401 / 404
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