Learning to filter spam emails: An ensemble learning approach
Mehrnoush Famil Saeedian, Hamid Beigy · International Journal of Hybrid Intelligent Systems · 2012
Most email users have experienced spam problems, which have been addressed as text classification problem. In this paper, we propose a novel spam detection method which uses an ensemble of classifiers based on subsampling and dynamic weighted voting