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

Machine Learning and Data Mining Approaches to Climate Science Proceedings of the 4th International Workshop on Climate Informatics / edited by Valliappa Lakshmanan, Eric Gilleland, Amy McGovern, Martin Tingley.

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 a...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Lakshmanan, Valliappa. (Editor, http://id.loc.gov/vocabulary/relators/edt), Gilleland, Eric. (Editor, http://id.loc.gov/vocabulary/relators/edt), McGovern, Amy. (Editor, http://id.loc.gov/vocabulary/relators/edt), Tingley, Martin. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Springer eBook Collection.
Subjects:
Atmospheric sciences.
Climatology.
Climate change.
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