@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},
	}