Machine Learning and Data Mining Approaches to Climate Science

Proceedings of the 4th International Workshop on Climate Informatics

Nonfiction, Science & Nature, Science, Other Sciences, Meteorology, Biological Sciences, Environmental Science
Cover of the book Machine Learning and Data Mining Approaches to Climate Science by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319172200
Publisher: Springer International Publishing Publication: June 30, 2015
Imprint: Springer Language: English
Author:
ISBN: 9783319172200
Publisher: Springer International Publishing
Publication: June 30, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Hierarchical Macromolecular Structures: 60 Years after the Staudinger Nobel Prize I by
Cover of the book Attachment Structures and Adhesive Secretions in Arachnids by
Cover of the book The ACP Group and the EU Development Partnership by
Cover of the book The Quality of Life and Policy Issues among the Middle East and North African Countries by
Cover of the book Inflation Dynamics in South Africa by
Cover of the book Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics by
Cover of the book Big Social Data and Urban Computing by
Cover of the book Translating War by
Cover of the book Monetary Integration in Europe by
Cover of the book Advances in Machine Learning and Signal Processing by
Cover of the book Gender, Authorship, and Early Modern Women’s Collaboration by
Cover of the book Dynamics of the Pantanal Wetland in South America by
Cover of the book Alice Munro by
Cover of the book SystemC and SystemC-AMS in Practice by
Cover of the book Natural Heritage of Japan by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy