期刊文献+

关联规则和分类规则挖掘算法的改进与实现 被引量:8

Enhancement and Implementation of Association Rules and Classification Rules Mining Algorithm
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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 .
作者 陶树平 屠颖
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
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同被引文献83

  • 1毕建欣,张岐山.关联规则挖掘算法综述[J].中国工程科学,2005,7(4):88-94. 被引量:51
  • 2李勇国,田大钢.数据库营销响应建模的一种新的数据挖掘方法[J].桂林电子工业学院学报,2005,25(5):23-26. 被引量:5
  • 3陈莉,焦李成.基于关系代数的关联规则挖掘算法[J].西北大学学报(自然科学版),2005,35(6):691-694. 被引量:16
  • 4祝万涛,欧阳为民,辛洪亮.基于数据挖掘的自适应异常分析[J].计算机工程与设计,2007,28(2):264-266. 被引量:4
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