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Authors
Affiliations
1 St. Petersburg Research University of Information Technologies, Mechanics and Optics, Institute of Refrigeration and Biotechnology, 9 Lomonosova St., St Petersburg, 191002, RU
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 6, No 1 (2014), Pagination: 147-154
Abstract
This paper gives a basic idea how various machine learning techniques may be applied towards processing the data from DEA services to find out whether people use these services for legitimate or non-legitimate purposes.
Keywords
Spam, Ham, Emails, Communications, Machine Learning, Naive Bayes, DEA Services.
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