Use of Mars Data Mining Algorithm Based on Training and Test Sets in Determining Carcass Weight of Cattle in Different Breeds

Author:

ÇANGA Demet

Publisher

Ankara University Faculty of Agriculture

Subject

Plant Science,Agronomy and Crop Science,Animal Science and Zoology

Reference51 articles.

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2. Akin M, Eyduran, SP & Eyduran E (2020). Analysis of macro nutrient related growth responses using multivariate adaptive regression splines. Plant Cell Tiss Organ Cult 140, 661–670. https://doi.org/10.1007/s11240-019-01763-8

3. Aksoy A, Erturk YE, Eyduran E and Tariq MM (2018). Comparing predictive performances of MARS and CHAID algorithms for defining factors affecting final fattening live weight in cultural beef cattle enterprises Pakistan Journal of Zoology. 50(6): 2279-2286

4. Ali M, Eyduran E, Tariq MM, Tirink C, Abbas F, Bajwa MA, Baloch MH, Nizamani AH, Waheed A, Awan MA, Shah SH, Ahmad Z and Jan S (2015). Comparison of artificial neural network and decision tree algorithms used for predicting live weight at post weaning period from some biometrical characteristics in Harnai sheep. Pakistan J. Zool., 47: 1579-1585

5. Anonim. Comparing different cattle breeds Use the 2016 across-breed EPD table. 2020; http://www.beefmagazine.com/ print/15608 (Erişim tarihi: 31.05.2020)

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