Data mining , by and large, seems to use fairly conventional
multivatiate stats tools along with a bunch of clustering procedures.
In addtion there is a lot of use of neural nets (mostly as a lazy man's
tool or a last resort, but occasionally sensibly). Data prep.
(including transformations) seem to be a necessity. A good starter book
is "Data Preparation for Data Mining" by Dorian Pyle. It is equivalent
to the first part of a low level intro stats book and is mainly
concerned with assessing the distributions, variance structure, etc.
before deciding to press ahead. I have not so far seen a sensible book
on data mining itself. Definitely none equivalent to the many fine
texts out there on ultivariate statistics. Many of the DM books are
sales blurbs for one or another black-box package. things should change
for the better in a couple of years.
SR Millis wrote:
> I'm looking for recommendations for recent books and papers on basic
> techniques for exploratory data analysis.
>
> Thanks,
> SR Millis
>
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