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挖掘关联规则中Apriori算法的一种改进

刘兴涛,石 冰,解英文   

  1. 山东大学计算机科学与技术学院, 山东 济南 250101
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-10-24 发布日期:2006-10-24
  • 通讯作者: 刘兴涛

An improved Apriori algorithm for mining association rules

LIU Xing-tao, SHI Bing, XIE Ying-wen   

  1. School of Computer Science and Technology, Shandong University, Jinan 250101, Shandong, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: LIU Xing-tao

摘要: 算法减少连接次数以及扫描数据库的次数从而缩短数据库扫描时间,利用项集有序性改进判断是否进行连接的策略,并利用标志位变化逐步消除无用事务,从而实现了事务压缩和项目压缩, 同时减少了判断时间。实验结果表明,经过优化了的Apriori算法在运行效率上有一定的提高。

关键词: 关联规则, 项目压缩, 项集有序, 事务压缩, 二维数组, Apriori算法

Abstract: For the bottlenecks of the Apriori algorithm, which restrict the efficiency of the Apriori algorithm, an optimized method was presented, which can take advantage of a two-dimensional array marker bit to achieve transaction reduction in association with taking advantage of order item to achieve item reduction. Reducing the times of joining as well as the number of scannings of the database will shorten the scan time. This algorithm takes advantage of order itemsets to improve the strategy, which is used to determine whether to join or not. And it removes useless transactions step by the step based on the transformation of a marker bit to reduce the number of transactions and items, while reducing the time of judgment. The results of an experiment show that the improved algorithm is more efficient.

Key words: order itemsets, item reduction, transaction reduction, two-dimensional array, Apriori algorithm, association rule

中图分类号: 

  • TP311
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