SIMIT: Subjectively Interesting Motifs in Time Series

Numerical time series data are pervasive, originating from sources as diverse as wearable devices, medical equipment, to sensors in industrial plants. In many cases, time series contain interesting information in terms of subsequences that recur in approximate form, so-called motifs. Major open chal...

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Detalles Bibliográficos
Autores principales: Deng, Junning, Lijffijt, Jefrey, Kang, Bo, De Bie, Tijl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515055/
https://www.ncbi.nlm.nih.gov/pubmed/33267280
http://dx.doi.org/10.3390/e21060566

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515055/
https://www.ncbi.nlm.nih.gov/pubmed/33267280
http://dx.doi.org/10.3390/e21060566

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