… of machine learning algorithms to Spam filtering, focusing on both textual- and image-based
approaches. Instead of considering Spam filtering … , in designing new filters. Two particularly …

… filter spam emails. We present a systematic review of some of the popular machine learning
based email spam filtering … the research trend in spam filtering. The preliminary discussion in …

… The subject of machine learning has been widely studied and there are lots of algorithms …
popular machine learning algorithms and their application to the problem of spam filtering. …

… e-mail spam filtering techniques. We focus primarily on Machine Learning-based spam filters
… the basics of e-mail spam filtering, the evolving nature of spam, spammers playing cat-and-…

… on a specific machine-learning technique to automatically filter out spam e-mail has … machine
learning methods in spam filtering. On the other hand, we try to integrate two spam filtering …

… because the filters are not … spammers and the inflexibility of spam filters to adapt the changes.
In our work, we employed supervised machine learning techniques to filter the email spam …

… machine learning methods for anti-spam filtering. In this paper we discussed the problem of
spam and gave an overview of learning based spam filtering … definition of what spam is, but …

… , Learning-based technique, Heuristic processes and so on. This paper illustrates a survey
of different existing email spam filtering system regarding Machine Learning … spam filtering …

… performing machine-learning-… machine-learning model used for spam detection (defined
here as a binary classifier), to process the text so that the data can be fed to a machine-learning …

… SMS spam filter inherits much functionality from E-mail Spam Filtering. Comparing the
performance of various supervised learning algorithms we find the support vector machine …