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Self-Learning IP Traffic Classification Based on Statistical Flow Characteristics.

, , and . PAM, volume 3431 of Lecture Notes in Computer Science, page 325-328. Springer, (2005)

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A survey of techniques for internet traffic classification using machine learning., and . IEEE Communications Surveys and Tutorials, 10 (1-4): 56-76 (2008)Sub-flow packet sampling for scalable ML classification of interactive traffic., , and . LCN, page 68-75. IEEE Computer Society, (2012)Balancing peer and server energy consumption in large peer-to-peer file distribution systems., , and . OnlineGreenComm, page 76-81. IEEE, (2011)Clustering to Assist Supervised Machine Learning for Real-Time IP Traffic Classification., and . ICC, page 5857-5862. IEEE, (2008)Timely and continuous machine-learning-based classification for interactive IP traffic., , , and . IEEE/ACM Trans. Netw., 20 (6): 1880-1894 (2012)Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks., and . LCN, page 369-376. IEEE Computer Society, (2006)Self-Learning IP Traffic Classification Based on Statistical Flow Characteristics., , and . PAM, volume 3431 of Lecture Notes in Computer Science, page 325-328. Springer, (2005)Powering down for energy efficient peer-to-peer file distribution., , and . SIGMETRICS Performance Evaluation Review, 39 (3): 72-76 (2011)Automated Traffic Classification and Application Identification using Machine Learning., , and . LCN, page 250-257. IEEE Computer Society, (2005)Experimentally derived interactions between TCP traffic and service quality over DOCSIS cable links., and . GLOBECOM, page 1314-1318. IEEE, (2004)