%0 Journal Article
	%A Leili Nosrati and  Alireza Nemaney Pour
	%D 2011
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 56, 2011
	%T DWM-CDD: Dynamic Weighted Majority Concept Drift Detection for Spam Mail Filtering
	%U https://publications.waset.org/pdf/14315
	%V 56
	%X Although e-mail is the most efficient and popular communication method, unwanted and mass unsolicited e-mails, also called spam mail, endanger the existence of the mail system. This paper proposes a new algorithm called Dynamic Weighted Majority Concept Drift Detection (DWM-CDD) for content-based filtering. The design purposes of DWM-CDD are first to accurate the performance of the previously proposed algorithms, and second to speed up the time to construct the model. The results show that DWM-CDD can detect both sudden and gradual changes quickly and accurately. Moreover, the time needed for model construction is less than previously proposed algorithms.

	%P 829 - 832