Email is the most used source of official communication method for business purposes. The usage of the email continuously increases despite of other methods of communications. Automated management of emails is importa...
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ISBN:
(纸本)9781728191010
Email is the most used source of official communication method for business purposes. The usage of the email continuously increases despite of other methods of communications. Automated management of emails is important in the today's context as the volume of emails grows day by day. Out of the total emails, more than 55 percent is identified as spam. This shows that these spams consume email user time and resources generating no useful output. The spammers use developed and creative methods in order to fulfil their criminal activities usingspam emails, Therefore, it is vital to understand different spam email classification techniques and their mechanism. This paper mainly focuses on the spam classification approached usingmachinelearningalgorithms. Furthermore, this study provides a comprehensive analysis and review of research done on different machinelearning techniques and email features used in different machinelearning approaches. Also provides future research directions and the challenges in the spam classification field that can be useful for future researchers.
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