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...
- 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