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Comparison of predictive performance of data mining algorithms in predicting body weight in Mengali rams of Pakistan R. Bras. Zootec.
Celik,Senol; Eyduran,Ecevit; Karadas,Koksal; Tariq,Mohammad Masood.
ABSTRACT The present study aimed at comparing predictive performance of some data mining algorithms (CART, CHAID, Exhaustive CHAID, MARS, MLP, and RBF) in biometrical data of Mengali rams. To compare the predictive capability of the algorithms, the biometrical data regarding body (body length, withers height, and heart girth) and testicular (testicular length, scrotal length, and scrotal circumference) measurements of Mengali rams in predicting live body weight were evaluated by most goodness of fit criteria. In addition, age was considered as a continuous independent variable. In this context, MARS data mining algorithm was used for the first time to predict body weight in two forms, without (MARS_1) and with interaction (MARS_2) terms. The superiority...
Tipo: Info:eu-repo/semantics/article Palavras-chave: ANN; Artificial intelligence; Data mining; Decision tree; MARS algorithm.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982017001100863
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Identification of risk factors affecting production of beekeeping farms and development of risk management strategies: A new approach R. Bras. Zootec.
Karadas,Koksal; Birinci,Avni.
ABSTRACT The aim of this investigation was to determine risk factors affecting production of beekeeping farms in Igdir province of Turkey and to develop strategies in coping with these risks. Research was based on data collected through a questionnaire applied to 85 beekeeping farms registered to Igdir Beekeepers’ Union according to exact counting method. Factor analysis was applied to collected data to identify risk factors and risk management strategies. Factor analysis was conducted under principle component extraction method and VARIMAX rotation. A stepwise regression analysis was used to reveal the relationship between each of four strategy factors and eight risk factors. As risks in procuring labor occur, farmers are more likely to adopt modern...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Apiculture; Approach; Factor analysis; Production economics; Uncertainty.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982018000100702
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Determination of factors affecting dairy cattle: a case study of Ardahan province using data mining algorithms R. Bras. Zootec.
Karadas,Koksal; Birinci,Avni.
ABSTRACT This study was conducted to compare predictive performances of different data-mining algorithms for determining factors influencing the average daily milk yield at dairy cattle enterprises of Ardahan province, located in the Eastern Anatolia region of Turkey. The algorithms employed in the present study were Classification and Regression Tree (CART), Chi-Square Automatic Interaction Detector (CHAID), Exhaustive Chi-Square Automatic Interaction Detector (Exhaustive CHAID), Multivariate Adaptive Regression Splines (MARS), and Multilayer Perceptron (MLP). The MARS algorithm outperformed the other algorithms in the study. Visual results of CART revealed that the culture-breed cows with a lactation length greater than 237.500 days had the highest milk...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Milk yield; Production economics; Statistical model.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982019000100106
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