Data Mining Books

Data mining methods play a very important role in detecting, characterizing, and interpreting nonlinear interactions between multiple genetic and environmental risk factors. The following is a short list of books that we have found particularly useful.

The Elements of Statistical Learning by Hastie et al., Springer (2001)

How to Solve It: Modern Heuristics by Michalewicz and Fogel, Springer (2000)

Introduction to Machine Learning by Alpaydin, MIT Press (2004)

Machine Learning by Mitchell, McGraw-Hill (1997)

Pattern Classification by Duda et al., Wiley (2000)

Pattern Recognition by Theodoridis and Koutroumbas, Academic Press (2003)