Automatic Learning for Commercial Registration Renewal—The Case of Cámara de Comercio of Barranquilla-Colombia
This article shows the implementation of a prediction model of the payment behavior of the renewal concept of companies registered in the commercial registry of the Barranquilla Chamber of Commerce using machine learning techniques in a multilevel classification scenario, where it will offer the org...
- Autores:
-
Ríos-Henao, Cristian
Ariza Colpas, Paola Patricia
De-La-Hoz-Franco, Emiro
aziz, shariq
Piñeres Melo, Marlon Alberto
Perez Coronell, Leidy
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/10154
- Acceso en línea:
- https://hdl.handle.net/11323/10154
https://repositorio.cuc.edu.co/
- Palabra clave:
- Behavioral sciences
Finance
Companies
Registers
Law
Classification algorithms
Optimization
- Rights
- embargoedAccess
- License
- Atribución 4.0 Internacional (CC BY 4.0)
| Summary: | This article shows the implementation of a prediction model of the payment behavior of the renewal concept of companies registered in the commercial registry of the Barranquilla Chamber of Commerce using machine learning techniques in a multilevel classification scenario, where it will offer the organization a tool that allows it to know in advance the behavior of the payment of the renewal of a company in such a way that it is able to design strategies to increase the success indicators in terms of the number of registration renewals, mercantile, and of the income collected for this concept. |
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