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2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
9th International Conference on Management of Digital EcoSystems, MEDES 2017(1)
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Clustering algorithm using rough set theory for unsupervised feature selection
Conference ObjectAbstract: Nowadays, the available data to describe real world problems grows in considerable manner, due to thPalabras claves:Autores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusAttribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery
ArticleAbstract: Features extracted from real world applications increase dramatically, while machine learning methodPalabras claves:Attribute clustering, Fault severity classification, feature selection, Rotating machinery, Rough setAutores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusAn 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 methodological framework using statistical tests for comparing machine learning based models applied to fault diagnosis in rotating machinery
Conference ObjectAbstract: Selecting an adequate machine learning model, e.g. for feature selection or classification, is a verPalabras claves:Autores:Diego Cabrera Mendieta, Diego R. Cabrera, Fannia Pacheco, Jose Valante De Oliveira, Li C., Mariela Cerrada Lozada, René-Vinicio Sánchez LojaFuentes:googlescopusMethodological framework for data processing based on the Data Science paradigm
Conference ObjectAbstract: This paper describes the steps for achieving data processing in a methodological context, which takePalabras claves:Data Mining, data science, Health management, industrial processes, Knowledge engineeringAutores:Altamiranda J., Fannia Pacheco, José Lisandro Aguilar Castro, Mariela Cerrada Lozada, Rangel C.Fuentes:scopusMethodology for detecting the feasibility of using data mining in an organization
Conference ObjectAbstract: This paper proposes a methodology to identify the feasibility of applying Data Mining techniques (DMPalabras claves:Data Analysis, Data Mining, Health management, industrial processes, Knowledge engineeringAutores:Altamiranda J., Fannia Pacheco, José Lisandro Aguilar Castro, Mariela Cerrada Lozada, Rangel C.Fuentes: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