Discovering classification rules for email spam filtering with an ant colony optimization algorithm

@article{ElAlfy2009DiscoveringCR,
  title={Discovering classification rules for email spam filtering with an ant colony optimization algorithm},
  author={El-Sayed M. El-Alfy},
  journal={2009 IEEE Congress on Evolutionary Computation},
  year={2009},
  pages={1778-1783}
}
The cost estimates for receiving unsolicited commercial email messages, also known as spam, are threatening. Spam has serious negative impact on the usability of electronic mail and network resources. In addition, it provides a medium for distributing harmful code and/or offensive content. The work in this paper is motivated by the dramatic increase in the volume of spam traffic in recent years and the promising ability of ant colony optimization in data mining. Our goal is to develop an ant… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 12 references

Classification rule extraction by AntMiner for weed risk assessment

  • M. De Backer, R. Haesen, J. Vanthienen, M. Snoeck, B. Baesens
  • International Congress on Modelling and…
  • 2007

Support vector machines for spam categorization

  • I. Androutsopoulos, G. Paliouras
  • IEEE Transactions on Neural Networks
  • 1999

Similar Papers

Loading similar papers…