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Machine Learning and Data Mining Approaches to Climate Science

Name: Machine Learning and Data Mining Approaches to Climate Science
Brand: Springer International Publishing AG
SKU: 9783319365589
Price: 825.02 RON
Availability: InStock

Proceedings of the 4th International Workshop on Climate Informatics

Autor: Valliappa Lakshmanan, Eric Gilleland, Amy McGovern, Martin Tingley

Limbă:

Legare: Carte broșată

Editura: Springer International Publishing AG

Disponibilitate: În depozitul extern

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This book presents innovative work in Climate Informatics, a new field that reflects the application...

Informații despre carte

Autor

Valliappa Lakshmanan, Eric Gilleland, Amy McGovern, Martin Tingley

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2016

Pagini

252

EAN

9783319365589

ISBN

3319365584

Enbook ID

15193820

Editura

Springer International Publishing AG

Greutate

4524

Dimensiuni

155 x 235 x 11

Descriere completă

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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Machine Learning and Data Mining Approaches to Climate Science

Proceedings of the 4th International Workshop on Climate Informatics

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