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Data Mining in Agriculture 2009 Edition
Contributor(s): Mucherino, Antonio (Author), Papajorgji, Petraq (Author), Pardalos, Panos M. (Author)

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 ISBN: 0387886141     ISBN-13: 9780387886145
Publisher: Springer
OUR PRICE: $52.24  

Binding Type: Hardcover - See All Available Formats & Editions
Published: August 2009
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Annotation:

Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MatlabA(R). Examples and exercises with solutions are provided at the end of each chapter to facilitate the comprehension of the material. For each data mining technique described in the book variants and improvements of the basic algorithm are also given.

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Additional Information
BISAC Categories:
- Business & Economics | Operations Research
- Mathematics | Applied
- Technology & Engineering | Agriculture - General
Dewey: 006.312
LCCN: 2009934057
Series: Springer Optimization and Its Applications
Physical Information: 0.69" H x 6.14" W x 9.21" L (1.29 lbs) 274 pages
Features: Bibliography, Illustrated, Index
 
Descriptions, Reviews, Etc.
Publisher Description:

Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in Matlab(R). Examples and exercises with solutions are provided at the end of each chapter to facilitate the comprehension of the material. For each data mining technique described in the book variants and improvements of the basic algorithm are also given.
 
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