FEATURE SELECTION AND CLASSIFICATION TECHNIQUES IN DATA MINING

Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. Feature selection is one of the important techniques in data mining. It is used for selectin g the relevant features and removes the redundant features in dataset. Classification is a technique used for discovering classes of unknown data. Classification task leads to reduction of the dimensionality of feature space, feature selection process is u sed for selecting large set of features. This paper proposed various feature selection methods