Methodology for processing time series using machine learning

There are currently countless applications that can be cited in different areas of research and industry, where the data are represented in the form of time series. In the last few years, a dramatic explosion in the amount of time series ha occurred, so their analysis plays a very important role, si...

Full description

Autores:
Varela, Noel
Ospino, Cesar
Pineda Lezama, Omar Bonerge
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/7661
Acceso en línea:
https://hdl.handle.net/11323/7661
https://doi.org/10.1016/j.procs.2020.07.096
https://repositorio.cuc.edu.co/
Palabra clave:
Unsupervised classifier
Time series
Assembly of grouping algorithms
Rights
openAccess
License
CC0 1.0 Universal