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Extraction of spatio-temporal sequences

Andrea Cossio

Extraction of spatio-temporal sequences.

Rel. Paolo Garza. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2020

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This work proposes a novel procedure to convert and aggregate multiple multivariate time series into multiple discrete sequences of data in such a way that it is then possible to extract spatio-temporal patterns and rules from them, using frequent pattern mining algorithms.

Relators: Paolo Garza
Academic year: 2020/21
Publication type: Electronic
Number of Pages: 67
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/15893
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