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Novel applications of Machine Learning to Network Traffic Analysis

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Novel applications of Machine Learning to Network Traffic Analysis ( novel-applications-machine-learning-network-traffic-analysis )

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Tableplots. Journal of Data Science 11, pp. 43-58. [31] Pedregosa F, Varoquaux G, Gramfort A et al (2011)Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research 12, pp. 2825-2830. Manuel Lopez-Martin is a research associate and Ph.D. candidate at Universidad de Valladolid, Spain. His research activities include the application of machine learning models to data networks. He received his M.Sc. in telecommunications engineering in 1985 from Universidad Politécnica de Madrid (UPM), Spain and his M.Sc. in computer sciences in 2013 from Universidad Autonoma de Madrid. He has worked as a data scientist at Telefonica and has more than 25 years of experience in the development of IT software projects. Belen Carro received a Ph.D. degree in the field of broadband access networks from the Universidad de Valladolid in 2001. She is a professor and director of the Communications Systems and Networks (SRC) laboratory at Universidad de Valladolid, working as a research manager in NGN communications and services, VoIP/QoS, and machine learning. She has supervised a dozen Ph.D. students and has extensive research publications experience as author, reviewer, and editor. Antonio Sanchez-Esguevillas received a Ph.D. degree in the field of QoS over IP networks from Universidad de Valladolid in 2004. He has managed innovation at Telefonica and has been an adjunct professor and honorary collaborator at Universidad de Valladolid, supervising several Ph.D. students. He has coordinated very large international R&D projects and has over 50 international publications and several patents. His current research interests include digital services and machine learning. Doctoral Thesis: Novel applications of Machine Learning to NTAP - 181

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