Cite
The Naïve Associative Classifier (NAC): A novel, simple, transparent, and accurate classification model evaluated on financial data.
MLA
Villuendas-Rey, Yenny, et al. “The Naïve Associative Classifier (NAC): A Novel, Simple, Transparent, and Accurate Classification Model Evaluated on Financial Data.” Neurocomputing, vol. 265, Nov. 2017, pp. 105–15. EBSCOhost, https://doi.org/10.1016/j.neucom.2017.03.085.
APA
Villuendas-Rey, Y., Rey-Benguría, C. F., Ferreira-Santiago, Á., Camacho-Nieto, O., & Yáñez-Márquez, C. (2017). The Naïve Associative Classifier (NAC): A novel, simple, transparent, and accurate classification model evaluated on financial data. Neurocomputing, 265, 105–115. https://doi.org/10.1016/j.neucom.2017.03.085
Chicago
Villuendas-Rey, Yenny, Carmen F. Rey-Benguría, Ángel Ferreira-Santiago, Oscar Camacho-Nieto, and Cornelio Yáñez-Márquez. 2017. “The Naïve Associative Classifier (NAC): A Novel, Simple, Transparent, and Accurate Classification Model Evaluated on Financial Data.” Neurocomputing 265 (November): 105–15. doi:10.1016/j.neucom.2017.03.085.