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)