摘要
通过研究已有的Apriori改进算法,本文对事务数据库进行了改造,在此基础上给出了事务粒的定义,从粒的角度阐述了事务与项集之间的关系.通过约定事务粒之间合成规则,本文设计了基于事务粒的Apriori改进算法,从而将粒计算理论有效地应用于关联规则的挖掘中.
After studying existing improved Apriori algorithms,this paper renovates transactional database.Then,with providing the definition of transactional granule,this paper sets forth the relationship between transactions and items from the view of granule. By giving the rules of synthesizing these transactional granules,this paper designs an improved Apriori algorithm based on transactional granule,thus effectively applying the theory of granular computing to the mining of association rules.
出处
《洛阳师范学院学报》
2015年第8期72-74,共3页
Journal of Luoyang Normal University
基金
河南省教育厅科学技术研究重点项目(12B510032)
关键词
APRIORI算法
粒计算
事务粒
Apriori algorithm
granular computing
transactional granule
