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：2015
卷号：3
期号：1
DOI：10.15680/ijircce.2015.0301009
出版社：S&S Publications
摘要：Data Mining (DM) technique is able to process the high volume of data. The data mining applicationscontain dataset with high dimensionality. Due to this high dimensionality, the performance of the machine learningalgorithms get degraded and this problem is resolved using a technique called Dimensionality Reduction (DR). DR isan essential preprocessing technique in DM to reduce the high dimensionality. Feature Extraction is one of theimportant techniques in DR to extract the most important features. The goal of this survey is to provide acomprehensive review of various feature extraction approaches to improve the classification accuracy. This paper givesan over view of various feature extraction techniques which are used to the budding researchers.
