Machine Learning and Data Mining Approaches to Climate Science - Proceedings of the 4th International Workshop on Climate Informatics (Hardcover, 2015 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	July 2015
First published:	2015
Editors:	Valliappa Lakshmanan • Eric Gilleland • Amy McGovern • Martin Tingley
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	252
Edition:	2015 ed.
ISBN-13:	978-3-319-17219-4
Categories:	Books > Earth & environment > Earth sciences > Meteorology > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	3-319-17219-0
Barcode:	9783319172194

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!