Hi, see these links: http://www.liacc.up.pt/~ltorgo/DataMiningWithR/ http://sawww.epfl.ch/SIC/SA/publications/FI01/fi-sp-1/sp-1-page45.html Brian D. Ripley, Datamining: Large Databases and Methods, in Proceedings of "useR! 2004 - The R User Conference", may 2004 http://www.ci.tuwien.ac.at/Conferences/useR-2004/Keynotes/Ripley.pdf looking for a book I suggest: Trevor Hastie , Robert Tibshirani, Jerome Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2001, Springer-Verlag. http://www-stat.stanford.edu/~tibs/ElemStatLearn/ B.D. Ripley, Pattern Recognition and Neural Networks http://www.stats.ox.ac.uk/~ripley/PRbook/ Hoping I helped you. Best Vito you wrote: Hi, there: I think I need a book on data mining book using R. I knew Modern Applied Statistics with S-plus (2nd Ed) or Modern Applied Statistics with S (4th Ed) might be a good choice. But not sure if there is other better suggestion and which one between the two is better. thanks, Ed ====Diventare costruttori di soluzioni Became solutions' constructors "The business of the statistician is to catalyze the scientific learning process." George E. P. Box Top 10 reasons to become a Statistician 1. Deviation is considered normal 2. We feel complete and sufficient 3. We are 'mean' lovers 4. Statisticians do it discretely and continuously 5. We are right 95% of the time 6. We can legally comment on someone's posterior distribution 7. We may not be normal, but we are transformable 8. We never have to say we are certain 9. We are honestly significantly different 10. No one wants our jobs Visitate il portale http://www.modugno.it/ e in particolare la sezione su Palese http://www.modugno.it/archivio/palese/