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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.
Our ability to generate and collect data has been increasing
rapidly. Not only are all of our business, scientific, and
government transactions now computerized, but the widespread use of
digital cameras, publication tools, and bar codes also generate
data. On the collection side, scanned text and image platforms,
satellite remote sensing systems, and the World Wide Web have
flooded us with a tremendous amount of data. This explosive growth
has generated an even more urgent need for new techniques and
automated tools that can help us transform this data into useful
information and knowledge. Like the first edition, voted the most
popular data mining book by KD Nuggets readers, this book explores
concepts and techniques for the discovery of patterns hidden in
large data sets, focusing on issues relating to their feasibility,
usefulness, effectiveness, and scalability. However, since the
publication of the first edition, great progress has been made in
the development of new data mining methods, systems, and
applications. This new edition substantially enhances the first
edition, and new chapters have been added to address recent
developments on mining complex types of data- including stream
data, sequence data, graph structured data, social network data,
and multi-relational data.
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