[R] PhD student reading list, suggestions wanted
Ko-Kang Kevin Wang
k.wang at auckland.ac.nz
Mon Feb 9 19:18:11 CET 2004
[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: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] 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
> 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.
Ko-Kang Kevin Wang, MSc(Hon)
SLC Stats Workshops Co-ordinator
The University of Auckland
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