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

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-...

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Bibliographic Details
Main Authors: Daniel Zaborski, Witold S. Proskura, Wilhelm Grzesiak
Format: Article
Language:English
Published: Asian-Australasian Association of Animal Production Societies 2018-11-01
Series:Asian-Australasian Journal of Animal Sciences
Subjects:
Dystocia
Prediction
Statistical Analysis
Dairy Cattle
Online Access:http://www.ajas.info/upload/pdf/ajas-17-0780.pdf

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