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Machine Learning and Data Mining Approaches to Climate Science

Language EnglishEnglish
Book Hardback
Book Machine Learning and Data Mining Approaches to Climate Science Valliappa Lakshmanan
Libristo code: 09219475
Publishers Springer International Publishing AG, July 2015
This book presents innovative work in Climate Informatics, a new field that reflects the application... Full description
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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. 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.§

About the book

Full name Machine Learning and Data Mining Approaches to Climate Science
Language English
Binding Book - Hardback
Date of issue 2015
Number of pages 252
EAN 9783319172194
ISBN 3319172190
Libristo code 09219475
Weight 5685
Dimensions 155 x 235 x 20
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