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Intelligent IoT Traffic Classification Using Novel Search Strategy for Fast Based-Correlation Feature Selection in Industrial Environments

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Intelligent IoT Traffic Classification Using Novel Search Strategy for Fast Based-Correlation Feature Selection in Industrial Environments

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Egea, S.; Rego Mañez, A.; Carro, B.; Sánchez-Esguevillas, A.; Lloret, J. (2018). Intelligent IoT Traffic Classification Using Novel Search Strategy for Fast Based-Correlation Feature Selection in Industrial Environments. IEEE Internet of Things. 5(3):1616-1624. https://doi.org/10.1109/JIOT.2017.2787959

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/151314

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Title: Intelligent IoT Traffic Classification Using Novel Search Strategy for Fast Based-Correlation Feature Selection in Industrial Environments
Author: Egea, Santiago REGO MAÑEZ, ALBERT Carro, Belén Sánchez-Esguevillas, Antonio Lloret, Jaime
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
[EN] Internet of Things (IoT) can be combined with machine learning in order to provide intelligent applications to the network nodes. Furthermore, IoT expands these advantages and technologies to the industry. In this ...[+]
Subjects: Iot , Industry , Multimedia traffic , Emergency detection , Correlation based methods , Feature Selection , Filter Methods , Machine Learning
Copyrigths: Reserva de todos los derechos
Source:
IEEE Internet of Things. (eissn: 2327-4662 )
DOI: 10.1109/JIOT.2017.2787959
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/JIOT.2017.2787959
Project ID:
MINECO/TIN2014-57991-C3-1-P
MINECO/TIN2017-84802-C2-1-P
MECD/FPU15/06837
Thanks:
This paper was supported in part by the Ministerio de Economia y Competitividad del Gobierno de Espana and the Fondo de Desarrollo Regional within the project Inteligencia distribuida para el control y adaptacion de redes ...[+]
Type: Artículo

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