文章基本信息

标题：Mining Association Rules from Infrequent Itemsets: A Survey
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作者：Diti Gupta ; Abhishek Singh Chauhan
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：10
页码：5801
出版社：S&S Publications
摘要：Association Rule Mining (AM) is one of the most popular data mining techniques. Association rule mininggenerates a large number of rules based on support and confidence. However, post analysis is required to obtain interestingrules as many of the generated rules are useless.However, the size of the database can be very large. It is very timeconsuming to find all the association rules from a large database, and users may be only interested in the associationsamong some items.So mining association rules in such a way that we maximize the occurrences of useful pattern. In thispaper we study several aspects in this direction and analyze the previous research.So that we come with the advantages anddisadvantages.
关键词：ARM; Positive Association; Negative Association; support; confidence