文章基本信息

标题：A developed algorithm of apriori based on association analysis
本地全文：下载
作者：Li Pingxiang ; Chen Jiangping ; Bian Fuling 等
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2004
卷号：7
期号：2
页码：108-112
DOI：10.1007/BF02826646
出版社：Taylor and Francis Ltd
摘要：A method for mining frequent itemsets by evaluating their probability of supports based on association analysis is presented. This paper obtains the probability of every 1-itemset by scanning the database, then evaluates the probability of every 2-itemset, every 3-itemset, everyk-itemset from the frequent 1-itemsets and gains all the candidate frequent itemsets. This paper also scans the database for verifying the support of the candidate frequent itemsets. Last, the frequent itemsets are mined. The method reduces a lot of time of scanning database and shortens the computation time of the algorithm.
关键词：association rule; algorithm apriori; frequent itemset; association analysis