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

ISBN 10: 3319172190 / ISBN 13: 9783319172194

Verlag: Springer, 2015

Beschreibung

Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Bestandsnummer des Verkäufers GWSVV.3319172190.G

Bibliografische Details

Titel: Machine Learning and Data Mining Approaches ...

Verlag: Springer

Erscheinungsdatum: 2015

Einband: Hardcover

Zustand: good

Über diesen Titel

Inhaltsangabe:

<P>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.</P>

Reseña del editor:

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.