Data Mining: Know It All (Hardcover)

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.

General

Imprint:	Morgan Kaufmann Publishers In
Country of origin:	United States
Release date:	November 2008
First published:	November 2008
Authors:	Soumen Chakrabarti • Earl Cox • Eibe Frank • Ralf Hartmut Guting • Jiawei Han • Xia Jiang • Micheline Kamber • Sam S. Lightstone • Thomas P. Nadeau • Richard E. Neapolitan
Dimensions:	235 x 191 x 34mm (L x W x T)
Format:	Hardcover
Pages:	480
ISBN-13:	978-0-12-374629-0
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Books > Academic & Education > Professional & Technical > Data Management
LSN:	0-12-374629-9
Barcode:	9780123746290

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