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  • 标题:Automatic e-mails Classification Using genetic Algorithm
  • 本地全文:下载
  • 作者:Mandeep Choudhary ; V. S. Dhaka
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:6
  • 页码:5097-5103
  • 出版社:TechScience Publications
  • 摘要:In the present scenario, all the email inboxes are barged with spam mails. The escape route that spam mails cater to, lies upon the fact that they are not malicious in nature and hence, generally don’t get blocked with firewall or filters ; however, the darker shade is that they are unwanted emails received by any a internet user. As per the Kaspersky, the percentage of spam in the total email traffic has risen to 70.3% in the first quarter of 2013. This paper discusses a genetic algorithm based method for spam email filtering mentioning its advantages and disadvantages. The results obtained in the paper are promising and suggest that GA can be a good option in conjunction with other e-mail filtering techniques and can provide a better solution. This paper explores the effect of the data-dictionary on the over-all efficiency of the Genetic Algorithm.
  • 关键词:Spam Filtering; Genetic Algorithm; SPAM and;HAM.
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