Author(s): M.Ananthi K.Palanivel
Feature Selection is the important component in the preprocessing of data mining classification problem. In this paper we can examine the different feature selection methodologies in terms of need, method adopted for feature selection. The three types of method are mainly available, such as forward selection strategies, backward elimination and optimized selection. In this article, we aim to provide a basic introduction to feature selection including basic concepts, classifications of existing systems, recent development, and applications.