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›› 2003, Vol. 29 ›› Issue (15): 104-.

• 论文 • 上一篇    下一篇

关联规则和分类规则挖掘算法的改进与实现

陶树平,屠颖   

  1. 同济大学电子与信息工程学院,同济大学电子与信息工程学院 上海 200331
  • 发布日期:2003-08-15

Enhancement and Implementation of Association Rules and Classification Rules Mining Algorithm

TAO Shuping, TU Ying   

  1. (College of Electronics & Information Engineering, Tongji University, Shanghai 200331)
  • Published:2003-08-15

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。

关键词: 数据挖掘, 关联规则, 分类规则, 斜面超平面

Abstract: 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 .

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