Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 4th International Workshop on Climate Informatics - Couverture souple

9783319365589: Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 4th International Workshop on Climate Informatics

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ISBN 10 : 3319365584 ISBN 13 : 9783319365589

Editeur : Springer, 2016

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This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2016
Langue: anglais
ISBN 10: 3319365584
ISBN 13: 9783319365589
Reliure: Broch�
Nombre de pages: 264
�diteur: Lakshmanan Valliappa, Gilleland Eric, McGovern Amy, Tingley Martin
Coordonn�es du fabricant: GPSR Kontakt
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Machine Learning and Data Mining Approa (eng)

Lakshmanan, Valliappa

Edit� par Springer, 2016

ISBN 10 : 3319365584 ISBN 13 : 9783319365589

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Machine Learning and Data Mining Approaches to Climate Science

Valliappa Lakshmanan

Edit� par Springer International Publishing Okt 2016, 2016

ISBN 10 : 3319365584 ISBN 13 : 9783319365589

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014. 264 pp. Englisch. N� de r�f. du vendeur 9783319365589

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Machine Learning and Data Mining Approaches to Climate Science

Lakshmanan, Valliappa|Gilleland, Eric|McGovern, Amy|Tingley, Martin

Edit� par Springer International Publishing, 2016

ISBN 10 : 3319365584 ISBN 13 : 9783319365589

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Machine Learning and Data Mining Approaches to Climate Science : Proceedings of the 4th International Workshop on Climate Informatics

Amy McGovern

Edit� par Springer, 2016

ISBN 10 : 3319365584 ISBN 13 : 9783319365589

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014. N� de r�f. du vendeur 9783319365589

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Machine Learning and Data Mining Approaches to Climate Science | Proceedings of the 4th International Workshop on Climate Informatics

Valliappa Lakshmanan (u. a.)

Edit� par Springer, 2016

ISBN 10 : 3319365584 ISBN 13 : 9783319365589

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Machine Learning and Data Mining Approaches to Climate Science

Valliappa Lakshmanan

Edit� par Springer, Springer Okt 2016, 2016

ISBN 10 : 3319365584 ISBN 13 : 9783319365589

Neuf Taschenbuch

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 264 pp. Englisch. N� de r�f. du vendeur 9783319365589

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