Hi, see these papers or books (some are available on the web):
Diego Kuonen, Introduction au data mining avec R : vers la reconqu?te du `knowledge discovery in databases' par les statisticiens. Bulletin of the Swiss Statistical Society, 40:3-7, 2001. http://www.statoo.com/en/publications/2001.R.SSS.40/ Diego Kuonen and Reinhard Furrer, Data mining avec R dans un monde libre. Flash Informatique Special ?t?, pages 45-50, sep 2001. 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 http://www.ci.tuwien.ac.at/Conferences/useR-2004/Keynotes/Ripley.pdf Brian D. Ripley, Using Databases with R, R News, http://cran.r-project.org/doc/Rnews/Rnews_2001-1.pdf B. D. Ripley, R. M. Ripley, Applications of R Clients and Servers in Proceedings of the Distributed Statistical Computing 2001 Workshop, 2001, Vienna University of Technology. http://www.ci.tuwien.ac.at/Conferences/DSC-2001/Proceedings/Ripley.pdf Torsten Hothorn, David A. James, Brian D. Ripley, R/S Interfaces to Databases in Proceedings of the Distributed Statistical Computing 2001 Workshop, 2001,Vienna University of Technology. http://www.ci.tuwien.ac.at/Conferences/DSC-2001/Proceedings/HothornJamesRipley.pdf Luis Torgo, Data Mining with R. Learning by case studies, Maggio 2003 http://www.liacc.up.pt/~ltorgo/DataMiningWithR/ 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/ Data Mining for Bioinformatics http://www.stats.ox.ac.uk/~vos/DataMining.html Hoping I helped you. Cordially, Vito you wrote: R people,I need to know if is possible to make data mining with R. If so, is there any manual or somewhere/one to consult about that. Thank you very much Adri�n ===== 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/ ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
