期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：1
页码：103
DOI：10.15680/IJIRCCE.2017.0501014
出版社：S&S Publications
摘要：Data mining is related to large number of databases. Dealing with such large number of datasets maycreate some obstacles. Such problems can be avoided by using feature selection Technique. Feature selectionTechnique is a method which selects an optimal subset from original feature set. The implementation is done byremoving repetitive features. The underlying structure has been neglected by the previous feature selection method andit determines the feature separately. The group feature selection method for the group structure may be formulated. Itperforms the task for filtering purpose for group structure technique. Group feature selection improves accuracy andmay achieve relatively better classification performance.
