Machine Learning Applied to Agricultural Production

Programa de Pós-Graduação Stricto Sensu em Engenharia de Produção

Programa de Pós-Graduação Stricto Sensu em Engenharia de Produção da UNIP é nota 5 na CAPES

Ementa

Data science concepts and definitions. Data preparation, exploration, and analysis. Data analytics. Model selection. Data science applications. Data mining. Use of data mining in Rapid Miner and Weka platforms. Examples and applications. The students will develop a manuscript from a given dataset.

Bibliografia

GARCIA, S., J. LUENGO, J. A. SÁEZ, V. LOPEZ, F. HERRERA. A survey of discretization techniques: Taxonomy and empirical analysis in supervised learning. IEEE Trans. Knowl. Data Eng. 25 (2013) 734-750.
PEREIRA ET AL., 2013. D. F. Pereira, B. C. B. Miyamoto, G. D. N. Maia, G. T. Sales, M. M. Magalhães, R. S. Gates. Machine vision to identify broiler breeder behavior. Comput. Electron. Agr., 99 (2013), p. 194-199.
SHAH, B., B. H. TRIVEDI. Artificial neural network based intrusion detection system: A survey. Int. J. Comput. Appl. 39 (2012) 13-18.
VALE ET AL., 2016. M. M.Vale, D. J. Moura, I. A. Nääs, T. M. R. Carvalho-Curi, Thayla, K. A. O. Lima. Effect of a simulated heat wave in thermal and aerial environment broiler-rearing environment. Eng. Agríc. 36 (2016), p. 271-280.