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...
| Veröffentlicht in: | Asian-Australasian journal of animal sciences. - 1998. - 31(2018), 11 vom: 10. Nov., Seite 1700-1713 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2018
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| Zugriff auf das übergeordnete Werk: | Asian-Australasian journal of animal sciences |
| Schlagworte: | Journal Article Dairy Cattle Dystocia Prediction Statistical Analysis |
| Online verfügbar |
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