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Data Mining in Agriculture

Springer New York,
Buch
53,49 € Lieferbar in 2-3 Tagen
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This book covers data mining techniques applied to agricultural and environmental fields. It offers theoretical and practical insights and focuses on the context of each data mining technique. It includes many examples and exercises with solutions.

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Schlagworte
Hauptbeschreibung

Titel: Data Mining in Agriculture
Autoren/Herausgeber: Antonio Mucherino, Petraq J. Papajorgji, Panos M. Pardalos
Aus der Reihe: Springer Optimization and Its Applications
Ausgabe: 2009

ISBN/EAN: 9781461429357

Seitenzahl: 274
Format: 23,5 x 15,5 cm
Produktform: Taschenbuch/Softcover
Gewicht: 450 g
Sprache: Englisch

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®. 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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