Antonio Mucherino,
Petraq Papajorgji,
Panos M. Pardalos
Springer New York
2009e druk, 2009
9780387886145
Data Mining in Agriculture
Specificaties
Gebonden, 274 blz.
|
Engels
Springer New York |
2009e druk, 2009
ISBN13: 9780387886145
Rubricering
Onderdeel van serie
Springer Optimization and Its Applications
Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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 MATLAB®.
Specificaties
ISBN13:9780387886145
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:274
Uitgever:Springer New York
Druk:2009
Inhoudsopgave
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.