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Books > Business & Economics > Business & management > Management & management techniques > Operational research

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Data Mining in Agriculture (Hardcover, 2009 ed.) Loot Price: R1,633
Discovery Miles 16 330
Data Mining in Agriculture (Hardcover, 2009 ed.): Antonio Mucherino, Petraq Papajorgji, Panos M. Pardalos

Data Mining in Agriculture (Hardcover, 2009 ed.)

Antonio Mucherino, Petraq Papajorgji, Panos M. Pardalos

Series: Springer Optimization and Its Applications, 34

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Loot Price R1,633 Discovery Miles 16 330 | Repayment Terms: R153 pm x 12*

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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). 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.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Springer Optimization and Its Applications, 34
Release date: August 2009
First published: 2009
Authors: Antonio Mucherino • Petraq Papajorgji • Panos M. Pardalos
Dimensions: 235 x 155 x 21mm (L x W x T)
Format: Hardcover
Pages: 274
Edition: 2009 ed.
ISBN-13: 978-0-387-88614-5
Categories: Books > Earth & environment > The environment > General
Books > Professional & Technical > Agriculture & farming > Agricultural science
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Computing & IT > Applications of computing > Databases > Data mining
LSN: 0-387-88614-1
Barcode: 9780387886145

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