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：9
页码：14954
DOI：10.15680/IJIRCCE.2017.0509021
出版社：S&S Publications
摘要：Pattern mining is a way of obtaining undetected patterns or facts from massive amount of data in adatabase. Association rule mining is a major technique in the area of pattern mining. Association rule mining findsfrequent item sets from a set of transactional databases. Pattern mining algorithm is one of the newest algorithms ofassociation rule mining. Pattern mining consists of discovering interesting, useful, and unexpected patterns in databasesvarious types of patterns can be discovered in databases such as frequent itemsets, associations, subgraphs, sequentialrules, and periodic patterns. Pattern mining is also known as knowledge discovery in databases (KDD). Pattern miningemploys an iterative approach known as level wise search. In this article, we have presented a survey of most recentwork that has been done by researchers in Association rule based mining using Pattern Mining. In pattern miningvarious techniques are used. That is decision tree, nearest neighbour, artificial intelligent, genetic algorithm, ruleinduction. The decision tree algorithm is easy to understand and robust and nearest neighbour is simplicity, but difficultto compute complexity for large system. Genetic algorithm is used to find accurate knowledge. And finally the ruleinduction algorithm gives high accuracy.
关键词：Pattern mining; Item Sets; Association Rules; pattern mining algorithm
