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Overview:

In the recent years, they have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are increasingly revealing as a problem of importance, specially the Spam on Instant Messaging services (the so called SPIM), and Short Message Service (SMS) or mobile spam. Like email spam, the SMS spam problem can be approached with legal, economic or technical measures. Among the wide range of technical measures, Bayesian filters are playing a key role in stopping email spam. This paper analyzes to what extent Bayesian filtering techniques used to block email spam, can be applied to the problem of detecting and stopping mobile spam. In particular, they have built two SMS spam test collections of significant size, in English and Spanish.

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Format:PDFSize:115 KB
Date:Feb 2007
Pages:8

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