【作者】 吕晓华； 薛永生； 林子雨； 张健达；

【机构】 浙江理工大学信息电子学院； 厦门大学计算机科学系； 华侨大学计算机科学系；

【摘要】 <正>1引言关联规则挖掘是从大量数据的项目集之间的关联或者相关联系中来发现频繁项目集的主要技术和方法。在寻找频繁项目集算法的研究当中,较典型的算法有Apriori,AIS,DHP,ML-T2L1以及更多还原

【Abstract】 The mining of association rule is a very important aspect in the field of data mining under the environment of distributed database.In order to achieve better performance of the algorithm used to discover multi-level association rule in distributed database,and also to get a desirable using rate of RAM,we introduce into our paper the theory of fuzzy set and the conception of effective support,in addition we take into consideration both the frequency and the threshold of the effective support.We propose an improved algorithm and give the theoretical analysis in detail to show the desirable performance enhancement being achieved.更多还原