Data Mining in Agriculture

Antonio Mucherino (), Petraq J. Papajorgji () and Panos M. Pardalos ()
Additional contact information
Antonio Mucherino: University of Florida
Petraq J. Papajorgji: University of Florida
Panos M. Pardalos: University of Florida

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2009
ISBN: 978-0-387-88615-2
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Citations: View citations in EconPapers (19)

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Chapters in this book:

Ch Chapter 1 Introduction to Data Mining

Antonio Mucherino, Petraq J. Papajorgji and Panos M. Pardalos

Ch Chapter 10 Solutions to Exercises

Antonio Mucherino, Petraq J. Papajorgji and Panos M. Pardalos

Ch Chapter 2 Statistical Based Approaches

Antonio Mucherino, Petraq J. Papajorgji and Panos M. Pardalos

Ch Chapter 3 Clustering by k-means

Antonio Mucherino, Petraq J. Papajorgji and Panos M. Pardalos

Ch Chapter 4 k-Nearest Neighbor Classification

Antonio Mucherino, Petraq J. Papajorgji and Panos M. Pardalos

Ch Chapter 5 Artificial Neural Networks

Antonio Mucherino, Petraq J. Papajorgji and Panos M. Pardalos

Ch Chapter 6 Support Vector Machines

Antonio Mucherino, Petraq J. Papajorgji and Panos M. Pardalos

Ch Chapter 7 Biclustering

Antonio Mucherino, Petraq J. Papajorgji and Panos M. Pardalos

Ch Chapter 8 Validation

Antonio Mucherino, Petraq J. Papajorgji and Panos M. Pardalos

Ch Chapter 9 Data Mining in a Parallel Environment

Antonio Mucherino, Petraq J. Papajorgji and Panos M. Pardalos

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DOI: 10.1007/978-0-387-88615-2

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