文章基本信息

标题：Optimization of Association Rule Mining through Genetic Algorithm
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作者：RUPALI HALDULAKAR ; Prof. JITENDRA AGRAWAL
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：03
页码：1252-1259
出版社：Engg Journals Publications
摘要：Strong rule generation is an important area of data mining. In this paper we design a novel method for generation of strong rule. In which a general Apriori algorithm is used to generate the rules after that we use the optimization techniques. Genetic algorithm is one of the best ways to optimize the rules .In this direction for the optimization of the rule set we design a new fitness function that uses the concept of supervised learning then the GA will be able to generate the stronger rule set.
关键词：Data Mining; Association Rule; genetic algorithm