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Unsupervised Machine Learning for anomalies detection, clustering and synthetic data generation of household appliances consumptions

Nicola Barletta

Unsupervised Machine Learning for anomalies detection, clustering and synthetic data generation of household appliances consumptions.

Rel. Edoardo Patti, Andrea Acquaviva, Luciano Baresi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2019

Abstract:
Relators: Edoardo Patti, Andrea Acquaviva, Luciano Baresi
Academic year: 2019/20
Publication type: Electronic
Number of Pages: 124
Additional Information: Tesi secretata. Fulltext non presente
Subjects:
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/13124
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