作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

›› 2004, Vol. 30 ›› Issue (17): 11-.

• 论文 • 上一篇    下一篇

关联规则挖掘AprioriHybrid算法的研究和改进

秦吉胜,宋瀚涛   

  1. 北京理工大学计算机系,北京理工大学计算机系 北京 100081
  • 发布日期:2004-09-15

Study and Improvement of AprioriHybrid Algorithm in Mining Association Rules

QIN Jisheng, SONG Hantao   

  1. (Dept. of Computer Science, Beijing Institute of Technology, Beijing 100081)
  • Published:2004-09-15

摘要: 分析了关联规则挖掘Apriori、AprioriTid和AprioriHybrid算法的优缺点,针对AprioriHybrid算法的瓶颈提出了一种使用支持度矩阵对频繁2项集快速验证的方法,并给出了一种简单易行,而又高效的逐步缩减交易数据库的方法,加快了对候选频繁k项集的验证速度,从而显著地提高了AprioriHybrid算法的效率。

关键词: 关联规则, 频繁项集, AprioriHybrid, 支持度矩阵

Abstract: The paper analyzes the advantages and disadvantages of Apriori, AprioriTid and AprioriHybrid algorithm in mining association rules. To solve the bottle of AprioriHybrid algorithm, a support-matrix method to rapidly verify the 2-frequent itemsets is put forward. To accelerate the verification speed of the k-frequent itemsets, a simple and highly efficient method of minimizing the trade database is given. All these two methods improve the efficiency of AprioriHybrid method evidently.

中图分类号: