Abstract
In this paper we propose an incremental spam e-mail filtering using a modified Naïve Bayesian classification that is simple, adaptable and efficient. Our email spam filter is a hybrid filter that combines the advantages of the various filtering techniques. We also illustrate the effectiveness of our filtering scheme by simulations.
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© 2012 Springer-Verlag Berlin Heidelberg
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Fu, L., Gali, G. (2012). Classification Algorithm for Filtering E-mail Spams. In: Gaol, F. (eds) Recent Progress in Data Engineering and Internet Technology. Lecture Notes in Electrical Engineering, vol 157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28798-5_21
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DOI: https://doi.org/10.1007/978-3-642-28798-5_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28797-8
Online ISBN: 978-3-642-28798-5
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