"An
excellent introductory book on data mining. I
recommend it for everyone who wants to learn data
mining."
-- Journal of Statistical Software
|
"If
you need a book to help colleagues understand your data
mining procedures and results, this is the one you want
to give them."
--
Technometrics
|
"The
book by Larose is the first data mining book written by
a Ph.D. statistician."
-- Technometrics
|
"The
book is a good addition to the data mining literature as
a very introductory text. The structure of the
text follows the knowledge discovery process, making the
book easy to read and comprehend."
-- Briefings in Bioinformatics |
"This
flawless chapter on neural networks provides the reader
with a good understanding of this class of
classification methods."
-- Journal of Biopharmaceutical Statistics |
 |
"Including
enough real-world case studies, step-by-step examples of
real applications, software examples, and screen shots
has definitely added to the learning value of the
book."
-- Journal of Biopharmaceutical Statistics |
"Does
a good job introducing data mining to novices. It
skillfully previews some of the basic statistical issues
need to understand data mining techniques."
--
Journal of the American Statistical Association |
"An
excellent 'white-box' overview of established approaches
for data analysis, in which readers are shown how, why,
and when the methods work."
--
Choice |
"Larose
has the making of a good series of books on data mining.
I, for one, look forward to the next two books in the
series."
--
Computing Reviews |
