1. BATINI, C.; SCANNAPIECA, M. Data quality: concepts, methodology and techniques 1. ed. Editora Springer, 2006.
2. OZDEMIR, S. Principles of data science. 1. ed. Editora Packt, 2016.
3. SKIENA, S.S. The data science design manual. 1. ed. Editora Springer, 2017.
4. HASTIE, Trevor; TIBSHIRANI, Robert; FRIEDMAN, Jerome. The elements of statistical learning: data mining, inference, and prediction. 2nd ed. New York, N.Y.: Springer, 2009. xxii, 745 p.
5. WITTEN, I. H.; FRANK, Eibe; HALL, Mark A. Data mining: practical machine learning tools and techniques. 3rd ed. Burlington, Mass.: Morgan Kaufmann, 2011. xxxiii, 629 p.