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ORCIDBig-DAMA@SIGCOMM 2017: Los Angeles, CA, USA
- Proceedings of the Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, Big-DAMA@SIGCOMM 2017, Los Angeles, CA, USA, August 21, 2017. ACM 2017, ISBN 978-1-4503-5054-9
- Juan Martin Vanerio, Pedro Casas:
Ensemble-learning Approaches for Network Security and Anomaly Detection. 1-6 - Gal Frishman, Yaniv Ben-Itzhak, Oded Margalit:
Cluster-Based Load Balancing for Better Network Security. 7-12 - Roberto Gonzalez, Filipe Manco, Alberto García-Durán, Jose Mendes, Felipe Huici, Saverio Niccolini, Mathias Niepert
:
Net2Vec: Deep Learning for the Network. 13-18 - Andreas Blenk, Patrick Kalmbach, Wolfgang Kellerer, Stefan Schmid:
o'zapft is: Tap Your Network Algorithm's Big Data! 19-24 - Kamal Shadi, Preethi Natarajan, Constantine Dovrolis:
Hierarchical IP flow clustering. 25-30 - Sarah Wassermann, Pedro Casas, Thibaut Cuvelier, Benoit Donnet:
NETPerfTrace: Predicting Internet Path Dynamics and Performance with Machine Learning. 31-36 - Craig L. Gutterman, Weiyang Mo, Shengxiang Zhu, Yao Li, Daniel C. Kilper, Gil Zussman:
Neural Network Based Wavelength Assignment in Optical Switching. 37-42 - Pierdomenico Fiadino, Víctor Ponce-López, Juan Antonio, Marc Torrent-Moreno, Alessandro D'Alconzo:
Call Detail Records for Human Mobility Studies: Taking Stock of the Situation in the "Always Connected Era". 43-48 - Luca Vassio, Danilo Giordano, Martino Trevisan, Marco Mellia, Ana Paula Couto da Silva:
Users' Fingerprinting Techniques from TCP Traffic. 49-54
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