Data Mining in Agriculture

Antonio Mucherino, Petraq Papajorgji, Panos M. Pardalos (Autoren)

Buch | Softcover

274 Seiten

2012
Springer-Verlag New York Inc.
978-1-4614-2935-7 (ISBN)

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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®. 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.

to Data Mining.- Statistical Based Approaches.- Clustering by -means.- -Nearest Neighbor Classification.- Artificial Neural Networks.- Support Vector Machines.- Biclustering.- Validation.- Data Mining in a Parallel Environment.- Solutions to Exercises.

Reihe/Serie	Springer Optimization and Its Applications ; 34
Zusatzinfo	92 Illustrations, black and white; XVIII, 274 p. 92 illus.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Mathematik / Informatik ► Mathematik ► Algebra
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
	Wirtschaft ► Betriebswirtschaft / Management
	Weitere Fachgebiete ► Land- / Forstwirtschaft / Fischerei
Schlagworte	Agrarökonomie • Agricultural Planning • Agriculture Systems • artificial networks • Data Mining • data mining techniques • k-means methods • Vector Machines
ISBN-10	1-4614-2935-8 / 1461429358
ISBN-13	978-1-4614-2935-7 / 9781461429357
Zustand	Neuware