The use of data mining methods for dystocia detection in Polish Holstein-Friesian Black-and-White cattle

OBJECTIVE: The aim of this study was to verify the usefulness of artificial neural networks (ANN), multivariate adaptive regression splines (MARS), naïve Bayes classifier (NBC), general discriminant analysis (GDA), and logistic regression (LR) for dystocia detection in Polish Holstein-Friesian Black...

Description complète

Détails bibliographiques

Publié dans:	Asian-Australasian journal of animal sciences. - 1998. - 31(2018), 11 vom: 10. Nov., Seite 1700-1713
Auteur principal:	Zaborski, Daniel (Auteur)
Autres auteurs:	Proskura, Witold S, Grzesiak, Wilhelm
Format:	Article en ligne
Langue:	English
Publié:	2018
Accès à la collection:	Asian-Australasian journal of animal sciences
Sujets:	Journal Article Dairy Cattle Dystocia Prediction Statistical Analysis