PhD student reading list, suggestions wanted

From: Ko-Kang Kevin Wang

Hi,

-----Original Message-----
But above all, I would like her to use R whenever it's appropriate.
We have MASS and Dalgaard's introductory book in the 
library here, I'm
aware of "S Poetry", but what do you think would be the 
best start for
someone learning R in order to use it for doing data mining?
Not specifically for R, but a must-have for anyone going into 
data mining
area is "The Elements of Statistical Learning: Data Mining, 
Inference, and Prediction", by Hastie et. al.
I would add BDR's 1996 Pattern Recognition and Neural Networks, and FEH's
2002 Regression Modeling Strategies.

Even though Prof. Harrell's book is not strictly about data mining, it has
lots of things that dataminers need to know about, or at least be aware of,
IMHO.

Andy
Kevin

--------------------------------------------
Ko-Kang Kevin Wang, MSc(Hon)
SLC Stats Workshops Co-ordinator
The University of Auckland
New Zealand

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From: Ko-Kang Kevin Wang

Hi,

-----Original Message-----
But above all, I would like her to use R whenever it's appropriate.
We have MASS and Dalgaard's introductory book in the 
library here, I'm
aware of "S Poetry", but what do you think would be the 
best start for
someone learning R in order to use it for doing data mining?
Not specifically for R, but a must-have for anyone going into 
data mining
area is "The Elements of Statistical Learning: Data Mining, 
Inference, and Prediction", by Hastie et. al.
I would add BDR's 1996 Pattern Recognition and Neural Networks, and FEH's
2002 Regression Modeling Strategies.

Even though Prof. Harrell's book is not strictly about data mining, it has
lots of things that dataminers need to know about, or at least be aware of,
IMHO.

Andy

Kevin

--------------------------------------------
Ko-Kang Kevin Wang, MSc(Hon)
SLC Stats Workshops Co-ordinator
The University of Auckland
New Zealand
Hi,

What online references would you propose ?

Regards

EJ
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: 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

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