期刊名称：International Journal of Computer Science and Management Studies
电子版ISSN：2231-5268
出版年度：2013
卷号：13
期号：03
出版社：Imperial Foundation
摘要：Classification and association rule mining are two basic tasks of Data Mining. Classification rule mining is used to mine a small set of rules in the database to form an accurate classifier. Association rules mining has been used to find all interesting relationships in a large database. By applying association rule into classification one can improve the accuracy and get some valuable rules and information that cannot be captured by other classification approaches. However, this rule generation procedure is very time-consuming when encountering large data set. In this paper it is discussed that how associative classification is is better than association rule mining and also various associative classification algorithms with their workings
