Data Mining in Agriculture

• Main Authors: Mucherino, Antonio (Author), Papajorgji, Petraq J. (Author), Pardalos, Panos M. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2009.
• Series: Springer Optimization and Its Applications, 34
• Subjects: Mathematics.; Data mining.; Agriculture.; Mathematical models.; Operations research.; Management science.; Environmental sciences.; Mathematical Modeling and Industrial Mathematics.; Data Mining and Knowledge Discovery.; Operations Research, Management Science.; Math. Appl. in Environmental Science.

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 t...

Table of Contents:

• 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.