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. Ed(S): Lakshmanan, Valliappa; Gilleland, Eric; McGovern, Amy; Tingley, Martin - Machine Learning and Data Mining Approaches to Climate Science - 9783319172194 - V9783319172194
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Machine Learning and Data Mining Approaches to Climate Science

€ 181.42
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Description for Machine Learning and Data Mining Approaches to Climate Science Hardback. Editor(s): Lakshmanan, Valliappa; Gilleland, Eric; McGovern, Amy; Tingley, Martin. Num Pages: 261 pages, 16 black & white illustrations, 73 colour illustrations, biography. BIC Classification: RBP; UNF; UYQM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 577.

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 ... Read more

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Product Details

Format
Hardback
Publication date
2015
Publisher
Springer International Publishing AG Switzerland
Number of pages
261
Condition
New
Number of Pages
252
Place of Publication
Cham, Switzerland
ISBN
9783319172194
SKU
V9783319172194
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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