AZERBAIJAN NATIONAL ACADEMY OF SCIENCES
MULTI-CLASSIFICATORY MODEL FOR NETWORK TRAFFIC (azerb.)
Yadigar N. Imamverdiyev, Babek R. Nabiyev

While investigating articles on monitoring traffic, you can find a lot of one-rank classification methods. Most of them are based on Naive Bayesian and neural networks methods. These methods are used to obtain fast and accurate classification. This article offers increasing productivity through a two-stage classification classifier without efficiency and accuracy loss. (pp. 68-74)

Keywords: network traffic, traffic classification, Naive Bayes, feed-forward neural network
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