Hi, [This is slightly offtopic as it has nothing to do with R, but I'm still sending it to the list in case someone else is interested].
> -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of Ernesto Jardim > Sent: Tuesday, February 10, 2004 3:22 AM > To: Mailing List R > Subject: RE: [R] PhD student reading list, suggestions wanted > > Hi, > > What online references would you propose ? It depends on how much you already know about data mining. Two Crow's "Introduction to Data Mining and Knowledge Discovery" (http://www.twocrows. com/) might be a good introductory guide and is available for free download (it is a recommended reading at a Year 3 undergraduate course here at my university). Journal of Machine Learning Research (http://www.jmlr.org/) may have some useful article. My Master's Dissertation (http://www.stat.auckland.ac.nz/~kwan022/research.php) sort of briefly compared a few methods (neural net, decision trees and Logistic regression) and benchmarked them, but that is using SAS Enterprise Miner. If you want some data to try out data mining methods, the UCI Machine Learning Repository (http://www.ics.uci.edu/~mlearn/) is the best place to go. And finally, there is google....;-D. HTH, Kevin -------------------------------------------- Ko-Kang Kevin Wang, MSc(Hon) SLC Stats Workshops Co-ordinator The University of Auckland New Zealand ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
