A New Methodology to Overcome High Dimensionality Problem in Data Mining

Classification is one of the important techniques of data mining. In the classification task, features play a vital role. Therefore, selecting the relevant features becomes an essential task. Though many feature selection algorithms are available many research works are been carried out to improve the classification accuracy. In this paper, a new methodology is proposed with three different feature selection algorithms to improve the classification accuracy by selecting the relevant features.