Data mining in agriculture
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 t...
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| Autori principali: | , , |
|---|---|
| Altri autori: | , |
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2009. |
| Serie: | Springer Optimization and Its Applications
34 |
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 15 novembre 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Data mining in agriculture, by Antonio Mucherino,... Petraq J. Papajorgji,... Panos M. Pardalos,..., Dordrecht, Springer, 2009, 1 vol. (XVIII-272 p.), Springer optimization and its applications, 978-0-387-88614-5 • Data Mining in Agriculture, Texte imprimé, 9780387886954 • Data Mining in Agriculture, Texte imprimé, 9781461429357 |
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| 100 | 1 | |a Mucherino, Antonio, |d 19..- | |
| 245 | 1 | 0 | |a Data mining in agriculture |c by Antonio Mucherino, Petraq J. Papajorgji, Panos M. Pardalos. |
| 250 | |a 1st ed. 2009. | ||
| 260 | |a New York, NY : |b Springer New York. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Springer Optimization and Its Applications |v 34 |x 1931-6836 | |
| 500 | |a Description d'après consultation du 15 novembre 2011 | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. Index | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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®. Examples and exercises with solutions are provided at the end of each chapter to facilitate the comprehension of the material. For each data mining technique described in the book variants and improvements of the basic algorithm are also given. Also by P.J. Papajorgji and P.M. Pardalos: Advances in Modeling Agricultural Systems, 'Springer Optimization and its Applications' vol. 25, 2009 | ||
| 650 | |a Exploration de données | ||
| 650 | |a Agriculture |x Logiciels | ||
| 700 | 1 | |a Papajorgji, Petraq. |4 pbd | |
| 700 | 1 | |a Pardalos, Panos M. |4 pbd | |
| 700 | 1 | |a Pardalos, Panos M., |d 1954- |4 aut | |
| 700 | 1 | |a Papajorgji, Petraq J., |d 19..- |4 aut | |
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| 776 | 0 | |t Data Mining in Agriculture |b Texte imprimé |z 9780387886954 | |
| 776 | 0 | |t Data Mining in Agriculture |b Texte imprimé |z 9781461429357 | |
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