Artículo de revista
Automatic Learning for Commercial Registration Renewal—The Case of Cámara de Comercio of Barranquilla-Colombia
Registro en:
C. Rios-Henao, P. P. Ariza-Colpas, E. De-la-Hoz-Franco, S. B. Aziz, M. A. P. Melo and L. Perez-Coronell, "Automatic Learning for Commercial Registration Renewal—The Case of Camara de Comercio of Barranquilla-Colombia," in IEEE Engineering Management Review, vol. 51, no. 1, pp. 26-40, 1 Firstquarter,march 2023, doi: 10.1109/EMR.2022.3216200.
0360-8581
10.1109/EMR.2022.3216200
1937-4178
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
Autor
Ríos-Henao, Cristian
Ariza Colpas, Paola Patricia
De-La-Hoz-Franco, Emiro
aziz, shariq
Piñeres Melo, Marlon Alberto
Perez Coronell, Leidy
Institución
Resumen
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.