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Detecting and diagnosing anomalies in cellular networks using Random Neural Networks.

, , , and . IWCMC, page 351-356. IEEE, (2016)

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YouTube in the move: Understanding the performance of YouTube in cellular networks., , , and . Wireless Days, page 1-6. IEEE, (2014)Vivisecting whatsapp through large-scale measurements in mobile networks., , and . SIGCOMM, page 133-134. ACM, (2014)Steps towards the Extraction of Vehicular Mobility Patterns from 3G Signaling Data., , , and . TMA, volume 7189 of Lecture Notes in Computer Science, page 66-80. Springer, (2012)Mini-IPC: A minimalist approach for HTTP traffic classification using IP addresses., and . IWCMC, page 71-76. IEEE, (2013)Towards automatic detection and diagnosis of Internet service anomalies via DNS traffic analysis., , , and . IWCMC, page 373-378. IEEE, (2015)Characterizing web services provisioning via CDNs: The case of Facebook., , and . IWCMC, page 310-315. IEEE, (2014)On the detection of network traffic anomalies in content delivery network services, , , , and . page 1--9. (2014)IP mining: Extracting knowledge from the dynamics of the Internet addressing space, , and . page 1--9. (2013)Challenging Entropy-based Anomaly Detection and Diagnosis in Cellular Networks., , , and . SIGCOMM, page 87-88. ACM, (2015)Call Detail Records for Human Mobility Studies: Taking Stock of the Situation in the Älways Connected Era"., , , , and . Big-DAMA@SIGCOMM, page 43-48. ACM, (2017)