Bibliografia

Sharda, R., Delen, D., Turban, E., Aronson, J., & Liang, T. P. (2014). Businesss Intelligence and Analytics: Systems for Decision Support-(Required). Prentice Hall. Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann. :

M. Rocha & P. Ferreira. Análise e exploração de dados com R. FCA. P. Cortez (2014). Modern optimization with R. Springer. P. Cortez (2015). A tutorial on using the rminer R package for data mining tasks. https://repositorium.sdum.uminho.pt/bitstream/1822/36210/1/rminer-tutorial.pdf Foster Provost, Tom Fawcett (2013) Data Science for Business. What you need to know about data mining and data-analytic thinking, 1st edition. O'Reilly. :