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BuchKartoniert, Paperback
274 Seiten
Englisch
Springererschienen am25.02.2012
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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR53,49
BuchGebunden
EUR56,50
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextData 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.
ZusammenfassungThis book covers data mining techniques applied to agricultural and environmental fields. It offers theoretical and practical insights and focuses on the context of each data mining technique. It includes many examples and exercises with solutions.
Details
ISBN/GTIN978-1-4614-2935-7
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2012
Erscheinungsdatum25.02.2012
ReiheSpringer Optimization and Its Applications
Seiten274 Seiten
SpracheEnglisch
Gewicht448 g
IllustrationenXVIII, 274 p. 92 illus.
Artikel-Nr.16929051

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr
Kritik
From the reviews:

"This book covers several topics in data mining within the context of agriculture. ... Every problem at the end of each chapter is provided with solutions ... . who are looking for a first step into the field of data mining in agriculture may appreciate this broad nature ... . Students interested in a hands-on approach using MATLAB may also find the book useful due to the sample solutions provided." (R. Wan, Journal of the Operational Research Society, Vol. 61, 2010)

"The book ... presents in a comprehensive way most up-to-date data mining techniques and their application to problems from agriculture domain. ... Researchers, practitioners and students will find the book very useful ... . Researchers will find in the book not only a good reference and a compendium of most important techniques but also an 'all in one place' analysis of most important data mining techniques ... . Teachers can use the book for data mining subjects in undergraduate and graduate studies ... ." (Fatos Xhafa, Journal of Global Optimization, Vol. 48, 2010)mehr

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