2018
DOI: 10.26438/ijsrcse/v6i2.3337
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An Efficient Spam Filtering using Supervised Machine Learning Techniques

Abstract: Abstract-Email spam or junk e-mail (unsolicited e-mail "usually of a commercial nature sent out in bulk") is one of the major problem of the today's Internet, carrying financial damage to companies and annoying individual users. Among the approaches developed to stop spam, filtering is an important and popular one. Common uses for mail filters comprise organizing incoming email and removal of spam and computer viruses. In proposed work, we employed supervised machine learning techniques to filter the email spa… Show more

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