Data Mining in Agriculture

by Antonio Mucherino, Petraq J. Papajorgji, Panos M. Pardalos, et al.

Book Overview

Introduction to Data Mining.- 2 Statistical Methods.- 3 Clustering by k-means.- 4 k-nearest Neighbor Classification.- 5 Artificial Neural Networks.- 6 Support Vector Machines.- 7 Biclustering.- 8 Validation.- 9 An Application in C.- 10 Data Mining in a Parallel Environment.- 11 Solutions of the Exercises.- A. Matlab Environment.- B. C programming language.- C. Message Passing Interface (MPI).- .D. Eigenvalues and Eigenvectors.- References.

• Format: Paperback
• Language: English
• ISBN: 1461429358
• ISBN13: 9781461429357
• Release Date: February 2012
• Publisher: Springer
• Length: 274 Pages
• Weight: 0.91 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"