CAJ | 학술논문

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。
통과연구이유적Apriori개진산법，본문대사무수거고진행료개조，재차기출상급출료사무립적정의，종립적각도천술료사무여항집지간적관계。통과약정사무립지간합성규칙，본문설계료기우사무립적Apriori개진산법，종이장립계산이론유효지응용우관련규칙적알굴중。
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 transac-tions 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 granu-lar computing to the mining of association rules .