Data Mining: Know It All

Data Mining: Know It All

EnglishHardbackPrint on demand
Chakrabarti Soumen
Elsevier Science & Technology
EAN: 9780123746290
Print on demand
Delivery on Friday, 31. of July 2026
€68.83
pc
Do you want this product today?
Oxford Bookshop Banská Bystrica
not available
Oxford Bookshop Bratislava
not available
Oxford Bookshop Košice
not available

Detailed information

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.
EAN 9780123746290
ISBN 0123746299
Binding Hardback
Publisher Elsevier Science & Technology
Publication date November 27, 2008
Pages 480
Language English
Dimensions 235 x 191
Country United States
Readership Professional & Scholarly
Authors Chakrabarti Soumen; Cox Earl; Frank Eibe; Han Jiawei; Jiang Xia; Kamber Micheline; Lightstone Sam S.; Nadeau Thomas P.; Neapolitan Richard E.; Pyle Dorian; Refaat Mamdouh; Schneider Markus; Teorey Toby J.; Witten Ian H.
Manufacturer information
The manufacturer's contact information is currently not available online, we are working intensively on the axle. If you need information, write us on [email protected], we will be happy to provide it.