Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/90711
Type: Artigo de evento
Title: Data Mining Applied To Horse Thermal Comfort
Author: Maia A.P.A.
Medeiros B.B.L.
Vercellino R.A.
Sarubbi J.
Oliveira S.R.M.
Griska P.R.
Moura D.J.
Abstract: Thermal comfort plays a critical role in body temperature regulation. Heat-regulation mechanisms, such as changes in peripheral blood flow, are activated by thermal stress to maintain body homeostasis and it can results in a fluctuation of skin temperature. Although thermal comfort of horse has been studied, its relation with surface temperature is rarely seen in the literature. Therefore, the aim of this study was to verify the potential of data mining techniques in knowledge discovery by associating surface temperature with thermal comfort of horses. The decision tree model presented 74.0% of accuracy and all attributes of dataset were considered relevant for the classification problem. The results revealed the potential of data mining techniques to equine thermal comfort classification problems.
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Rights: fechado
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Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84878315018&partnerID=40&md5=94901cc9fde30680ee568fec522796a5
Date Issue: 2012
Appears in Collections:Unicamp - Artigos e Outros Documentos

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