计算机与现代化 ›› 2009, Vol. 1 ›› Issue (7): 5-8,21.doi: 10.3969/j.issn.1006-2475.2009.07.002

• 人工智能 • 上一篇    下一篇

对挖掘关联规则中的Apriori算法的一种改进

刘瑞祥;邹 海   

  1. 安徽大学计算智能与信号处理教育部重点实验室,安徽 合肥 230039
  • 收稿日期:2009-03-13 修回日期:1900-01-01 出版日期:2009-07-10 发布日期:2009-07-10

An Improved Apriori Algorithm for Mining Association Rules

LIU Rui-xiang; ZOU Hai   

  1. Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230039, China
  • Received:2009-03-13 Revised:1900-01-01 Online:2009-07-10 Published:2009-07-10

摘要: 对挖掘关联规则的Apriori算法关键思想以及性能进行了研究,给出该算法的一个改进算法,该改进算法提高了原算法的性能,并从实验中得出相关结果。

关键词: 数据挖掘, 关联规则, Apriori算法, 频繁项集

Abstract: An improved Apriori algorithm is developed based on study of the principle and efficiency of the Apriori algorithm, which is more efficient than the old algorithm.

Key words: data mining, association rules, Apriori algorithm, frequent itemsets

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