Data Mining in Agriculture 2009 Edition Contributor(s): Mucherino, Antonio (Author), Papajorgji, Petraq (Author), Pardalos, Panos M. (Author) |
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ISBN: 1461429358 ISBN-13: 9781461429357 Publisher: Springer
Binding Type: Paperback - See All Available Formats & Editions Published: February 2012 Click for more in this series: Springer Optimization and Its Applications |
Additional Information |
BISAC Categories: - Mathematics | Applied - Business & Economics | Operations Research - Technology & Engineering | Agriculture - General |
Dewey: 006.312 |
Series: Springer Optimization and Its Applications |
Physical Information: 0.61" H x 6.14" W x 9.21" L (0.91 lbs) 274 pages |
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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