Toward Accurate Feature Selection Based on BSS-GRF
S. M., Samy Abd, Wael A. Awad, Rakesh Kumar M · International Journal of Advanced Computer Science and Applications · 2014
As of late, Feature extraction in email classification assumes a vital part. Many Feature extraction algorithms need more effort in term of accuracy. In order to improve the classifier accuracy and for faster classification, the hybrid algorithm is proposed. This hybrid algorithm combines the Genetics Rough set with blind source separation approach (BSS-GRF). The main aim of proposing this hybrid algorithm is to improve the classifier accuracy for classifying incoming e-mails.