Cortés-MartÃnez, K.V.; Estrada-Esquivel, H.; MartÃnez-Rebollar, A.; Hernández-Pérez, Y.; Ortiz-Hernández, J.
The State of the Art of Data Mining Algorithms for Predicting the COVID-19 Pandemic. Axioms 2022, 11, 242.
https://doi.org/10.3390/axioms11050242
AMA Style
Cortés-MartÃnez KV, Estrada-Esquivel H, MartÃnez-Rebollar A, Hernández-Pérez Y, Ortiz-Hernández J.
The State of the Art of Data Mining Algorithms for Predicting the COVID-19 Pandemic. Axioms. 2022; 11(5):242.
https://doi.org/10.3390/axioms11050242
Chicago/Turabian Style
Cortés-MartÃnez, Keila Vasthi, Hugo Estrada-Esquivel, Alicia MartÃnez-Rebollar, YasmÃn Hernández-Pérez, and Javier Ortiz-Hernández.
2022. "The State of the Art of Data Mining Algorithms for Predicting the COVID-19 Pandemic" Axioms 11, no. 5: 242.
https://doi.org/10.3390/axioms11050242
APA Style
Cortés-MartÃnez, K. V., Estrada-Esquivel, H., MartÃnez-Rebollar, A., Hernández-Pérez, Y., & Ortiz-Hernández, J.
(2022). The State of the Art of Data Mining Algorithms for Predicting the COVID-19 Pandemic. Axioms, 11(5), 242.
https://doi.org/10.3390/axioms11050242