Feature selection is a process that chooses a subset of features from the original features so that the feature space is optimally reduced according to a certain criterion. Feature extraction/construction is a process through which a set of new features is created. They are used either in isolation or in combination. All attempt to improve performance such as estimated accuracy, visualization and comprehensibility of learned knowledge. Basic approaches to these three arereviewed giving pointers to references for further studies. 1