@article{(Open Science Index):https://publications.waset.org/pdf/14315, title = {DWM-CDD: Dynamic Weighted Majority Concept Drift Detection for Spam Mail Filtering}, author = {Leili Nosrati and Alireza Nemaney Pour}, country = {}, institution = {}, abstract = {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. }, journal = {International Journal of Computer and Information Engineering}, volume = {5}, number = {8}, year = {2011}, pages = {829 - 832}, ee = {https://publications.waset.org/pdf/14315}, url = {https://publications.waset.org/vol/56}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 56, 2011}, }