Proposed efficient algorithm to filter spam using machine learning techniques

@article{Aski2016ProposedEA,
  title={Proposed efficient algorithm to filter spam using machine learning techniques},
  author={Ali Shafigh Aski and Navid Khalilzadeh Sourati},
  journal={Pacific Science Review A: Natural Science and Engineering},
  year={2016},
  volume={18},
  pages={145-149}
}
Abstract Electronic spam is the most troublesome Internet phenomenon challenging large global companies, including AOL, Google, Yahoo and Microsoft. Spam causes various problems that may, in turn, cause economic losses. Spam causes traffic problems and bottlenecks that limit memory space, computing power and speed. Spam causes users to spend time removing it. Various methods have been developed to filter spam, including black list/white list, Bayesian classification algorithms, keyword matching… Expand
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