Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 4th International Workshop on Climate Informatics
ISBN 10: 3319172190 ISBN 13: 9783319172194
Editorial: Springer, 2015
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Print on Demand pp. 410. N° de ref. del artículo 373624656
Sinopsis:
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.
De la contraportada:
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.
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Título: Machine Learning and Data Mining Approaches ...
Editorial: Springer
Año de publicación: 2015
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Condición: New
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Machine Learning and Data Mining Approaches to Climate Science
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Springer International Publishing, 2015
ISBN 10: 3319172190
ISBN 13: 9783319172194
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Machine Learning and Data Mining Approaches to Climate Science | Proceedings of the 4th International Workshop on Climate Informatics
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Buch. Condición: Neu. Machine Learning and Data Mining Approaches to Climate Science | Proceedings of the 4th International Workshop on Climate Informatics | Valliappa Lakshmanan (u. a.) | Buch | ix | Englisch | 2015 | Springer | EAN 9783319172194 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 104870660
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Machine Learning and Data Mining Approaches to Climate Science : Proceedings of the 4th International Workshop on Climate Informatics
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Springer International Publishing, 2015
ISBN 10: 3319172190
ISBN 13: 9783319172194
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Buch. Condición: 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. Nº de ref. del artículo: 9783319172194
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Machine Learning and Data Mining Approaches to Climate Science
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Springer International Publishing Jul 2015, 2015
ISBN 10: 3319172190
ISBN 13: 9783319172194
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Buch. Condición: 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. Nº de ref. del artículo: 9783319172194
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Machine Learning and Data Mining Approaches to Climate Science
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Springer International Publishing, Springer International Publishing Jul 2015, 2015
ISBN 10: 3319172190
ISBN 13: 9783319172194
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Buch. Condición: Neu. 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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch. Nº de ref. del artículo: 9783319172194
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