Have a personal or library account? Click to login
Machine Learning and Traditional Econometric Models: A Systematic Mapping Study Cover

Machine Learning and Traditional Econometric Models: A Systematic Mapping Study

Journal of Artificial Intelligence and Soft Computing Research
Volume 12 (2022): Issue 2 (April 2022)
By: María E. Pérez-Pons,  Javier Parra-Dominguez,  Sigeru Omatu,  Enrique Herrera-Viedma and  Juan Manuel Corchado  
Open Access
|Feb 2022

Authors

María E. Pérez-Pons

eugenia.perez@usal.es

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
DOI: https://doi.org/10.2478/jaiscr-2022-0006
Journal RSS Feed
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:
machine learning,
econometric models,
regression,
prediction
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 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.

Volume 12 (2022): Issue 2 (April 2022)Next article