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This book brings all of the elements of data mining together in a
single volume, saving the reader the time and expense of making
multiple purchases. It consolidates both introductory and advanced
topics, thereby covering the gamut of data mining and machine
learning tactics ? from data integration and pre-processing, to
fundamental algorithms, to optimization techniques and web mining
methodology.
The proposed book expertly combines the finest data mining material
from the Morgan Kaufmann portfolio. Individual chapters are derived
from a select group of MK books authored by the best and brightest
in the field. These chapters are combined into one comprehensive
volume in a way that allows it to be used as a reference work for
those interested in new and developing aspects of data mining.
This book represents a quick and efficient way to unite valuable
content from leading data mining experts, thereby creating a
definitive, one-stop-shopping opportunity for customers to receive
the information they would otherwise need to round up from separate
sources.
* Chapters contributed by various recognized experts in the field
let the reader remain up to date and fully informed from multiple
viewpoints.
* Presents multiple methods of analysis and algorithmic
problem-solving techniques, enhancing the reader's technical
expertise and ability to implement practical solutions.
* Coverage of both theory and practice brings all of the elements
of data mining together in a single volume, saving the reader the
time and expense of making multiple purchases.
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