Resumen

RODRIGUES, V.C.; VIEIRA, F.M.C.  y  SILVA, I.J.O.. Datamining for preslaughter mortality preview of broilers. Arch. zootec. [online]. 2013, vol.62, n.239, pp.469-472. ISSN 1885-4494.  https://dx.doi.org/10.4321/S0004-05922013000300015.

The performance of a simple information system to identify possible mortality conditions in pre-slaughter operation through classification and regression trees was studied. Data referring a commercial broiler slaughterhouse, located in State of São Paulo, were studied using a data mining system (CART). This decision tree is able to predict categorical variables through a historical dataset and then classify effects. The classification tree had 77 % of success and showed to be a practical and faster way to predictions for this dataset and it is able to show an easy interpretation to direct use by the sector area experts.

Palabras clave : Decision making; Decisions trees; Poultry.

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