期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2013
卷号：4
期号：2
页码：273-278
出版社：Technopark Publications
摘要：Data mining, also called knowledge discovery in databases, is regarded as a non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable knowledge in large-scale data. This paper briefly reviews some typical applications and highlights potential contributions that fuzzy set theory can make to data mining. In this connection, some advantages of fuzzy methods for representing and mining vague patterns in data are especially emphasized. The aim of this paper is to convey an impression of the current status and prospects of fuzzy set in data mining, especially highlighting potential features and advantages of fuzzy in comparison with non-fuzzy approaches.
关键词：Fuzzy set; Data mining; Association rules; Fuzzy rule bases; Clustering; Decision trees; Gradual nature
