Feature Reduction is the reduction of features. Most of the intrusion detection approaches focused on feature selection issues such as irrelevancy, redundancy and length of detection process. These issues will degrade the performance of system. The performance of the system is improved by three feature selection methods involving correlation based feature selection, Gain Ratio and Information G...

Abstract Modern high-dimensional methods often adopt the ‘bet on sparsity’ principle, while in supervised multivariate learning statisticians may face ‘dense’ problems with a large number of nonzero coefficients. This paper proposes novel clustered reduced-rank (CRL) framework that imposes two joint matrix regularizations to automatically group features constructing predictive factors. CRL is m...