Data Mining in Agriculture

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...

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Bibliographic Details
Main Authors: Mucherino, Antonio, Papajorgji, Petraq (Author), Pardalos, Panos M. (Author)
Format: eBook
Published: New York, NY Springer New York 2009, 2009
Edition:1st ed. 2009
Series:Springer Optimization and Its Applications
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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