Geodesic
Two-classification artificial immune system
Vestnik Samarskogo universiteta. Estestvennonaučnaâ seriâ, no. 7 (2014), pp. 207-220

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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. 
@article{VSGU_2014_7_a19,
     author = {M. E. Burlakov},
     title = {Two-classification artificial immune system},
     journal = {Vestnik Samarskogo universiteta. Estestvennonau\v{c}na\^a seri\^a},
     pages = {207--220},
     publisher = {mathdoc},
     number = {7},
     year = {2014},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VSGU_2014_7_a19/}
}
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M. E. Burlakov. Two-classification artificial immune system. Vestnik Samarskogo universiteta. Estestvennonaučnaâ seriâ, no. 7 (2014), pp. 207-220. http://geodesic.mathdoc.fr/item/VSGU_2014_7_a19/