›› 2012, Vol. 25 ›› Issue (5): 126-.

• 论文 • 上一篇    下一篇

改进的基于两个矩阵的关联规则挖掘算法

曹风华   

  1. (内蒙古财经学院 计算机信息管理学院,内蒙古 呼和浩特 010070)
  • 出版日期:2012-05-15 发布日期:2012-05-24
  • 作者简介:曹风华(1977—),女,硕士,讲师。研究方向:Web数据库系统与应用技术,XML应用技术。

Improved Association Rule Mining Algorithm Based on Two Matrixes

 CAO Feng-Hua   

  1. (School of Computer Information Management,Inner Mongolia Finance and Economics College,Hohhot 010070,China)
  • Online:2012-05-15 Published:2012-05-24

摘要:

Apriori及其改进算法可以归为基于SQL和基于内存两类,为提高关联规则挖掘效率,在分析了一部分第二类算法存在效率瓶颈的基础上,提出了一种高效的改进算法。算法引入两个矩阵,一个矩阵用以映射数据库,另一个用作存储频繁2-项集相关信息,通过对两个矩阵的操作,使得算法时间复杂度明显降低。验证明,算法具有较好的性能。

关键词: 数据挖掘, 事务矩阵, 支持矩阵, 向量内积, 裁剪

Abstract:

Apriori and its improved algorithms can be generally classified into two kinds:SQL-based and on memory-based.In order to improve association rule mining efficiency,after analyzing the efficiency bottlenecks in some algorithms of the second class,an improved efficient algorithm is proposed.Two matrixes are introduced into the algorithm:one is used to map database and the other to store frequent 2-itemsets related information.Through the operation of two matrixes,its time complexity and space complexity decrease significantly.The experiment indicates that the method has better performance.

Key words: data mining;transaction matrix;support matrix;inner product;prune

中图分类号: 

  • TP301.6