Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction

A wide range of applications based on sequential data, named time series, have become increasingly popular in recent years, mainly those based on the Internet of Things (IoT). Several different machine learning algorithms exploit the patterns extracted from sequential data to support multiple tasks....

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Detalles Bibliográficos
Autores principales: Silva, Ricardo Petri, Zarpelão, Bruno Bogaz, Cano, Alberto, Junior, Sylvio Barbon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587387/
https://www.ncbi.nlm.nih.gov/pubmed/34770639
http://dx.doi.org/10.3390/s21217333

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587387/
https://www.ncbi.nlm.nih.gov/pubmed/34770639
http://dx.doi.org/10.3390/s21217333

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