Data Mining in Agriculture PDF
by Antonio Mucherino, Petraq Papajorgji, Panos M. Pardalos
Part of the Springer Optimization and Its Applications series
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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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- Format:PDF
- Publisher:Springer New York
- Publication Date:22/09/2009
- Category:
- ISBN:9780387886152
Information
-
Download Now
- Format:PDF
- Publisher:Springer New York
- Publication Date:22/09/2009
- Category:
- ISBN:9780387886152