A Study of Feature Subset Selection Methods for Dimension Reduction (original) (raw)

The interest and focus for quite some time has been on Feature Selection and lot of work has been made in this field. With databases getting larger in volume so machine learning techniques are required which results in demand for feature selection. Feature selection is commonly used method for performing data mining in the field of data preprocessing that is scaled on large amount of data sets. In this paper, several kinds of feature selection methods are used which may result in different subsets of features with evaluation criterion.