期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：6
出版社：S.S. Mishra
摘要：In frequent pattern mining, there are several algorithms. Apriori is the classical and most famous algorithm. Objective of using Apriori algorithm is to find frequent itemsets and association between different itemsets i.e. association rule. In this paper, author considers data (bank data) and tries to obtain the result using Weka a data mining tool. Association rule algorithms are used to find out the best combination of different attributes in any data. In this paper author uses Apriori to find association rule. Here author consider three association rule algorithms: Apriori Association Rule, PredictiveApriori Association Rule and Tertius Association Rule. Author compares the result of these three algorithms and presents the result. According to the result obtained using data mining tool author find that Apriori Association algorithm performs better than the PredictiveApriori Association Rule and Tertius Association Rule algorithms
关键词：Weka; Apriori; Association rules; Frequent pattern mining; CLI (Command Line Interface).
