Novel applications of Machine Learning to Network Traffic Analysis

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Novel applications of Machine Learning to Network Traffic Analysis ( novel-applications-machine-learning-network-traffic-analysis )

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8. TOOLS To carry out the different experiments of this thesis, the hardware/software resources used have been a PC (i7-4720-HQ, 16 GB RAM) and several open-source software packages: (a) the machine learning package scikit-learn (python), (b) the deep learning software platform Tensorflow and Keras (python), and (c) the language R to perform some statistical analysis and to implement all the time-series models (ARIMA, ARIMAX, Hidden Markov Model (HMM), and Exponential Smoothing) with functions provided mainly by the forecast R package. Doctoral Thesis: Novel applications of Machine Learning to NTAP - 79

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