摘要
对Apriori关联规则挖掘算法提出了一种改进方法，使其可以有效地压缩数据规模，提高了原Apriori算法的执行效率。此外，还对OC1分类规则挖掘算法提出了改进，扩展了该算法的适用范围。同时，该采用这两个改进算法实现了一个数据挖掘原型系统。
The paper focus on the Apriori association rules mining algorithm ,presents an enhanced method which can effectively reduce the number of data to improve the original Apriori algorithm performance. Moreover, an enhanced method of OC1 classification rules mining algorithm is proposed, which extends the applicable scope of original algorithm .A data mining prototype system is implemented with the two enhanced algorithms .
出处
《计算机工程》
CAS
CSCD
北大核心
2003年第15期100-101,187,共3页
Computer Engineering
关键词
数据挖掘
关联规则
分类规则
斜面超平面
Data mining
Association rules
Classification rules
Oblique hyper-plane
