Data Mining in Agriculture (Hardcover, 2009 ed.)

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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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Product 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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Product Details

General

Imprint

Springer-Verlag New York

Country of origin

United States

Series

Springer Optimization and Its Applications, 34

Release date

August 2009

Availability

Expected to ship within 10 - 15 working days

First published

2009

Authors

, ,

Dimensions

235 x 155 x 21mm (L x W x T)

Format

Hardcover

Pages

274

Edition

2009 ed.

ISBN-13

978-0-387-88614-5

Barcode

9780387886145

Categories

LSN

0-387-88614-1



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