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9th International Conference on Management of Digital EcoSystems, MEDES 2017(1)
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
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scopus(5)
An autonomic traffic analysis proposal using Machine Learning techniques
Conference ObjectAbstract: Network analysis has recently become in one of the most challenging tasks to handle due to the rapidPalabras claves:Autonomic computing, Machine learning, Quality of service, Traffic analysisAutores:Budoin C., Exposito E., Fannia Pacheco, Gineste M.Fuentes:scopusA Wearable Machine Learning Solution for Internet Traffic Classification in Satellite Communications
Conference ObjectAbstract: In this paper, we present an architectural framework to perform Internet traffic classification in SPalabras claves:Deep packet inspection, Internet traffic classification, Machine learning, Satellite communicationsAutores:Exposito E., Fannia Pacheco, Gineste M.Fuentes:scopusA framework to classify heterogeneous Internet traffic with Machine Learning and Deep Learning techniques for satellite communications
ArticleAbstract: Nowadays, the Internet network system serves as a platform for communication, transaction, and enterPalabras claves:Encrypted traffic, Internet traffic classification, Machine learning, QoS management, Satellite communicationsAutores:Exposito E., Fannia Pacheco, Gineste M.Fuentes:scopusA novel statistical based feature extraction approach for the inner-class feature estimation using linear regression
Conference ObjectAbstract: Nowadays, statistical based feature extraction approaches are commonly used in the knowledge discovePalabras claves:Autores:Budoin C., Exposito E., Fannia Pacheco, Gineste M., José Lisandro Aguilar CastroFuentes:scopusTowards the Deployment of Machine Learning Solutions in Network Traffic Classification: A Systematic Survey
ArticleAbstract: Traffic analysis is a compound of strategies intended to find relationships, patterns, anomalies, anPalabras claves:Internet traffic, Machine learning, traffic classification, traffic monitoringAutores:Budoin C., Exposito E., Fannia Pacheco, Gineste M., José Lisandro Aguilar CastroFuentes:scopus