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Processing Obtained Email Data By Using Naive Bayes Learning Algorithm


Affiliations
1 St. Petersburg Research University of Information Technologies, Mechanics and Optics, Institute of Refrigeration and Biotechnology, 9 Lomonosova St., St Petersburg, 191002, Russian Federation
 

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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Abstract Views: 293

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  • Processing Obtained Email Data By Using Naive Bayes Learning Algorithm

Abstract Views: 293  |  PDF Views: 156

Authors

Valery V. Pelenko
St. Petersburg Research University of Information Technologies, Mechanics and Optics, Institute of Refrigeration and Biotechnology, 9 Lomonosova St., St Petersburg, 191002, Russian Federation
Aleksandr V. Baranenko
St. Petersburg Research University of Information Technologies, Mechanics and Optics, Institute of Refrigeration and Biotechnology, 9 Lomonosova St., St Petersburg, 191002, Russian Federation

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.