Data Mining in Agriculture

Data Mining in Agriculture

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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 MATLABAr.The code in MATLAB we propose is simple and easy to modify for personal purposes. LIBSVM is an integrated software for SVM classification and also regression and distribution estimation [43]. LIBSVM is distributed with the source code, anbsp;...

Title:Data Mining in Agriculture
Author: Antonio Mucherino, Petraq J. Papajorgji, Panos M. Pardalos
Publisher:Springer Science & Business Media - 2009-08-19

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