Data Analytics for Email Spam

In 2011, the estimated figure for spam messages was around seven trillion. In 2012, global losses due to phishing attacks totaled 1.5 billion dollars. Spam, on the other hand costs consumers and business an estimated 20 billion dollars per year. The Most common products advertised were Pharmacy %81, replica %5.4, Enhancers %2.3, and Phishing %2.3. Using data from postmaster and indivisual/personal spam and non-spam emails, our Artificial Intelligence technique has been able to predict the outcome with 97-99 percent of the accuracy and outperformed similar systems and state-of-the-art techniques (%84-%95). Our Decision Trees will also provide insight, reveals interesting facts and opening windows into better understanding these criminal acts.