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Data Mining in Agriculture

Gebonden Engels 2009 2009e druk 9780387886145
Verwachte levertijd ongeveer 9 werkdagen

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

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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.

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        Data Mining in Agriculture