Machine Learning and Traditional Econometric Models: A Systematic Mapping Study
Authors
María E. Pérez-Pons
University of Salamanca, BISITE Research Group Edificio I+D+i, Salamanca, Spain
Javier Parra-Dominguez
University of Salamanca, BISITE Research Group Edificio I+D+i, Salamanca, Spain
Air Institute, IoT Digital Innovation Hub, Salamanca, Spain
Sigeru Omatu
Hiroshima University, Digital Manufacturing Education and Research Center Division of Data Driven Smart System, Japan
Enrique Herrera-Viedma
University of Granada Colegio Máximo de Cartuja, Granada, Spain
Juan Manuel Corchado
University of Salamanca, BISITE Research Group Edificio I+D+i, Salamanca, Spain
Air Institute, IoT Digital Innovation Hub, Salamanca, Spain
Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka, Japan
Pusat Komputeran dan Informatik, Universiti Malaysia Kelantan, Malaysia
Language: English
Page range: 79 - 100
Submitted on: Jul 14, 2021
Accepted on: Sep 15, 2021
Published on: Feb 23, 2022
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Related subjects:
© 2022 María E. Pérez-Pons, Javier Parra-Dominguez, Sigeru Omatu, Enrique Herrera-Viedma, Juan Manuel Corchado, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.