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Vestnik SamGU. Estestvenno-Nauchnaya Ser., 2014, Issue 7(118), Pages 207–220 (Mi vsgu442)  

Information and Сomputing Systems

Two-classification artificial immune system

M. E. Burlakov

Samara State University, Samara, 443011, Russian Federation (published under the terms of the Creative Commons Attribution 4.0 International License)
References:
Abstract: In the article the practical aspect of application of principles of biological immune system for solving the problem of analysis and classification of email is viewed. In the capacity of analyzed emails ordinary emails (electronic mail) and mails from closed systems (electronic document flow or business management systems) were taken. In the article two-classification artificial immune system was developed with further comparison of effectiveness of their usage with naive Bayesian classification algorithm. Practical realization of the developed system with the application in the system of analysis of emails of the commercial structure is carried out.
Keywords: аrtificial immune system, clonal selection theory, electronic document flow, business management systems, emails, spam, classification of emails, affinity.
Received: 13.05.2014
Accepted: 13.05.2014
Document Type: Article
UDC: 004.491.22
Language: Russian
Citation: M. E. Burlakov, “Two-classification artificial immune system”, Vestnik Samarskogo Gosudarstvennogo Universiteta. Estestvenno-Nauchnaya Seriya, 2014, no. 7(118), 207–220
Citation in format AMSBIB
\Bibitem{Bur14}
\by M.~E.~Burlakov
\paper Two-classification artificial immune system
\jour Vestnik Samarskogo Gosudarstvennogo Universiteta. Estestvenno-Nauchnaya Seriya
\yr 2014
\issue 7(118)
\pages 207--220
\mathnet{http://mi.mathnet.ru/vsgu442}
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  • https://www.mathnet.ru/eng/vsgu/y2014/i7/p207
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    Вестник Самарского государственного университета. Естественнонаучная серия
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