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QoMOSN - On the analysis of traffic and Quality of Experience in Mobile Online Social Networks.

, , and . EuCNC, page 471-475. IEEE, (2015)

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Device-Specific Traffic Characterization for Root Cause Analysis in Cellular Networks., , and . TMA, volume 9053 of Lecture Notes in Computer Science, page 64-78. Springer, (2015)Vivisecting whatsapp through large-scale measurements in mobile networks., , and . SIGCOMM, page 133-134. ACM, (2014)RCATool - A Framework for Detecting and Diagnosing Anomalies in Cellular Networks., , , and . ITC, page 194-202. IEEE, (2015)Vivisecting WhatsApp in Cellular Networks: Servers, Flows, and Quality of Experience., , and . TMA, volume 9053 of Lecture Notes in Computer Science, page 49-63. Springer, (2015)Grasping Popular Applications in Cellular Networks With Big Data Analytics Platforms., , , , and . IEEE Trans. Network and Service Management, 13 (3): 681-695 (2016)Towards automatic detection and diagnosis of Internet service anomalies via DNS traffic analysis., , , and . IWCMC, page 373-378. IEEE, (2015)Towards Bottleneck Identification in Cellular Networks via Passive TCP Monitoring., , , and . ADHOC-NOW, volume 8487 of Lecture Notes in Computer Science, page 72-85. Springer, (2014)Challenging Entropy-based Anomaly Detection and Diagnosis in Cellular Networks., , , and . SIGCOMM, page 87-88. ACM, (2015)Diagnosing Device-Specific Anomalies in Cellular Networks., , , and . CoNEXT Student Workshop, page 18-20. ACM, (2014)On the analysis of QoE in cellular networks: From subjective tests to large-scale traffic measurements., , , , , and . IWCMC, page 37-42. IEEE, (2015)