Effect of Header-based Features on Accuracy of Classifiers for Spam Email Classification

@article{Kulkarni2020EffectOH,
  title={Effect of Header-based Features on Accuracy of Classifiers for Spam Email Classification},
  author={Priti Kulkarni and Jatinderkumar R. and Haridas Acharya},
  journal={International Journal of Advanced Computer Science and Applications},
  year={2020},
  volume={11}
}
Emails are an integral part of communication in today’s world. But Spam emails are a hindrance, leading to reduction in efficiency, security threats and wastage of bandwidth. Hence, they need to be filtered at the first filtering station, so that employees are spared the drudgery of handling them. Most of the earlier approaches are mainly focused on building content-based filters using body of an email message. Use of selected header features to filter spam, is a better strategy, which was… 
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