Integration of data mining classification techniques and ensemble learning for predicting the export potential of a company
In this research, data mining techniques are integrated with Ensemble Learning for predicting the export potential of a company. The analysis covers the stages of measurement, evaluation and classification of companies, based on a proposal of 16 key factors of the export potential. The techniques st...
- Autores:
-
Silva, Jesus
Romero Borré, Jenny
Piñeres Castillo, Aurora Patricia
Castro, Ligia
Varela, Noel
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/4833
- Acceso en línea:
- https://hdl.handle.net/11323/4833
https://repositorio.cuc.edu.co/
- Palabra clave:
- K-Means clustering
classification models
export potential
competitiveness
data mining
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International