文章基本信息

标题：Comparative Analysis of Sequential Pattern Mining and High Utility Pattern Mining
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作者：Anita A. Bhosale
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：2017
卷号：5
期号：4
页码：6857
DOI：10.15680/IJIRCCE.2017.0504040
出版社：S&S Publications
摘要：Mining high utility itemsets is an important research area in data mining. In this mining area, sequentialpattern mining and high utility pattern mining plays an important role. Sequential pattern mining concerned withmining statistically relevant patterns where, data are delivered in a sequence and high utility pattern mining concernedfinding itemsets with a high utility like the profit from the database. Different algorithms have been work on theseareas, but some of them have a problem of generating a large number of irrelevant patterns. Due to this performance ofmining is reduced in the case of execution time and gives a less accurate result. Therefore instead of applying singlemining techniques, if both sequential and high utility mining user will get more efficient and useful patterns. In thispaper, I have analyzed working of sequential and High utility mining technique.
关键词：Data mining; High utility mining; Sequential pattern mining