期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：3
DOI：10.15680/ijircce.2015.0303116
出版社：S&S Publications
摘要：Frequent Itemset mining is an important concept in Data Mining. With the development of complexapplications, huge amount of data is received from the user and collectively stored. In order to make these applicationsprofitable, the stakeholders need to understand important patterns from this data which occur frequently so that thesystem can be modified or updated as per the evaluated result. The business now-a-days being fast paced, it isimportant for the frequent itemset mining algorithms to be fast. This paper compares the performance of four suchalgorithms viz Apriori, ECLAT, FPgrowth and PrePost algorithm on the parameters of total time required andmaximum memory usage.
关键词：Frequent Itemset Mining; Data Mining; Apriori; FPgrowth; PrePost; ECLAT
