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Feature Selection for the Low Industrial Yield of Cane Sugar Production Based on Rule Learning Algorithms Cover

Feature Selection for the Low Industrial Yield of Cane Sugar Production Based on Rule Learning Algorithms

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 17 (2023): Issue 1 (March 2023)
By: ,  ,   and    
Open Access
|Dec 2023
Authors

Authors

Yohan Gil Rodríguez

yohan.gil@datazucar.cu

ESI DATAZUCAR, AZCUBA, Cuba

Raisa Socorro Llanes

raisa@ceis.cujae.edu.cu

CUJAE, Cuba

Alejandro Rosete

rosete@ceis.cujae.edu.cu

CUJAE, Calle 114 No.11901/Ciclovía y Rotonda, Marianao, La Habana, Cuba

Lisandra Bravo Ilisástigui

lbravo@ceis.cujae.edu.cu

CUJAE, Calle 114 No.11901/ Ciclovía y Rotonda, Marianao, La Habana, Cuba
DOI: https://doi.org/10.14313/jamris/1-2023/2 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 13 - 21
Submitted on: Aug 10, 2022
Accepted on: Oct 19, 2022
Published on: Dec 26, 2023
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Feature selection,
Rule learning,
Data mining,
CRISP-DM,
Industrial yield
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2023 Yohan Gil Rodríguez, Raisa Socorro Llanes, Alejandro Rosete, Lisandra Bravo Ilisástigui, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 17 (2023): Issue 1 (March 2023)
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