Selecting electrical billing attributes: big data preprocessing improvements
The attribute selection is a very relevant activity of data preprocessing when discovering knowledge on databases. Its main objective is to eliminate irrelevant and/or redundant attributes to obtain computationally treatable issues, without affecting the quality of the solution. Various techniques a...
- Autores:
-
Viloria, Amelec
García Guiliany, Jesús Enrique
Orellano Llinás, Nataly
Hernandez-P, Hugo
Steffens Sanabria, Ernesto
Pineda, Omar
- 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:11323/7786
- Acceso en línea:
- https://hdl.handle.net/11323/7786
https://doi.org/10.1007/978-981-15-3125-5_44
https://repositorio.cuc.edu.co/
- Palabra clave:
- Electric billing
Concave programming
Data mining
Electric service billing
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International