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).
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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).
Imprint | Springer-Verlag New York |
Country of origin | United States |
Series | Springer Optimization and Its Applications, 34 |
Release date | March 2012 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2009 |
Authors | Antonio Mucherino, Petraq Papajorgji, Panos M. Pardalos |
Dimensions | 235 x 155 x 15mm (L x W x T) |
Format | Paperback |
Pages | 274 |
Edition | 2009 ed. |
ISBN-13 | 978-1-4614-2935-7 |
Barcode | 9781461429357 |
Categories | |
LSN | 1-4614-2935-8 |