The flooding of spam emails in email servers is an arm-racing issue. Even until today, filtering spam from email messages has become an ongoing work by researchers. Among all the methods proposed, methods that use machine-learning algorithms have achieved more success in spam filtering; unfortunately face a high dimensionality of features space after pre-processing and become a big hurdle for the classifier. Besides, the excessive number of features...