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- W1969751531 abstract "Accurate network traffic classification is an important task. We intend to develop an intelligent classification system by learning the types of service inside a network flow using machine learning techniques. Previous work used Bayesian methods for traffic classification. In this paper we propose a further plan to identify a fine-grained traffic classification scheme through combining a series of techniques." @default.
- W1969751531 created "2016-06-24" @default.
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- W1969751531 date "2006-01-01" @default.
- W1969751531 modified "2023-10-16" @default.
- W1969751531 title "Learning for accurate classification of real-time traffic" @default.
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- W1969751531 doi "https://doi.org/10.1145/1368436.1368480" @default.
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