Bibliografia

Principal

  • - Principles of Data Mining, David Hand, Heikki Mannila e Padhraic Smyth, MIT Press, 2001. - Modern Applied Statistics with S - 4th Edition, W. N. Venables, B. D. Ripley, Springler, 2002.:
  • 1.     P. Flach, "Machine Learning", CUP, 2012 2.     C. Bishop, "Pattern Recognition and Machine Learning", Springer, 2006 3.     T. Hastie et al., "The 3. Elements of Statistical Learning", Springer, 2009:

Secundária

  • Data Mining - Practical Machine Learning Tools and Techniques with Java Implementations, second edition, Ian H Witten e Eibe Frank, Morgan Kaufmann, 2005.  Introduction to Machine Learning, Ethem Alpaydin, MIT Press, 2004.  A linguagem R - Programação para a Análise de Dados, Luis Torgo, Escolar Editora, 2009 Pattern Classification, second edition, Richard Duda, Peter Hart and David Stork, Wiley, 2001.  The Elements of Statistical Learning - Data Mining, Inference and Prediction, T. Hastie, R. Tibshirani e J. Friedman, Springer-Verlag, 2001.  Data Preparation for Data Mining, Dorian Pyle, Morgan Kaufmann, 1999.: