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 Yabar by
Cover of the book Agent-Based Modeling of Sustainable Behaviors by
Cover of the book Gifted Education in Lebanese Schools by
Cover of the book Real-time Speech and Music Classification by Large Audio Feature Space Extraction by
Cover of the book Sustainable City Management by
Cover of the book Structural Information and Communication Complexity by
Cover of the book Forensic Neuropsychological Evaluation of the Violent Offender by
Cover of the book New Developments in Engineering Education for Sustainable Development by
Cover of the book New Trends in Parameter Identification for Mathematical Models by
Cover of the book Ultimate Performance Analysis Tool (uPATO) by
Cover of the book Shoulder Arthroscopy by
Cover of the book Breast Disease by
Cover of the book Management of Soil Problems by
Cover of the book Optimizing Liner Shipping Fleet Repositioning Plans by
Cover of the book Bigelow Aerospace 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