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The ones who get accepted are the cream of the industry. However, there is a problem almost any Internet user has encountered at least once in a lifetime.
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“Learning Fast Classifiers for Image Spam” is the name of a research paper from the University of Pennsylvania that describes how filters can be tweaked to quickly determine whether or not an. This paper aims to analyze existing research works in spam detection strategies and approaches, state of art, the phenomenon of spam detection, to explore the rudiment of spam detection, to proposed detection scheme and potential online mitigation schemes.
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rameters of the spam value proposition: the cost to send spam, off- set by the “conversion rate” (probability that an e-mail sent will ultimately yield a “sale”), and the marginal proﬁt per sale.Mail spam research papers