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...

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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