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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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Hoc and Sensor Wireless Networks” and "Networks Protocols and Algorithms". He is ACM Senior and IARIA Fellow. SANTIAGO EGEA (santiago.egea@alumnos.uva.es) received a Telecommunication Engineering Degree from Polytechnic University of Cartagena, Murcia, Spain. Currently, He is a PhD student at University of Valladolid, Valladolid, Spain. He is member of the Communications Systems and Networks (SRC) lab. His research interests include Signal Processing and Machine Learning specifically applied to telecommunication networks. ANTONIO SANCHEZ-ESGUEVILLAS [M’07, SM’07] (antoniojavier.sanchez@uva.es) received a Ph.D. degree in the field of QoS over IP networks from the University of Valladolid, Spain, in 2004. He has managed innovation at Telefonica, has been Adjunct Professor and Honorary Collaborator at the University of Valladolid, supervising several Ph.D. students. He has coordinated very large international R&D projects, 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 - 160

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