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Experimental comparison of supervised machine-learning algorithms for network monitoring

Francesca Soro

Experimental comparison of supervised machine-learning algorithms for network monitoring.

Rel. Marco Mellia. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2018

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Abstract:

Design and comparison of supervised machine-learning algorithms for network monitoring and anomaly detection exploiting the Spark ML framework.

Relators: Marco Mellia
Academic year: 2017/18
Publication type: Electronic
Number of Pages: 99
Subjects:
Corso di laurea: Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro)
Classe di laurea: New organization > Master science > LM-27 - TELECOMMUNICATIONS ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/7490
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