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150630s2015 gw | s |||| 0|eng d |
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|a 9783319172200
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024 |
7 |
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|a 10.1007/978-3-319-17220-0
|2 doi
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040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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245 |
1 |
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|a Machine Learning and Data Mining Approaches to Climate Science :
|b Proceedings of the 4th International Workshop on Climate Informatics /
|c edited by Valliappa Lakshmanan, Eric Gilleland, Amy McGovern, Martin Tingley.
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250 |
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|a 1st ed. 2015.
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260 |
# |
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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300 |
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|a IX, 252 p. 89 illus., 73 illus. in color. :
|b online resource.
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336 |
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|a text
|b txt
|2 rdacontent
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337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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505 |
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|a From the Contents: Machine learning, statistics, or data mining, applied to climate science -- Management and processing of large climate datasets -- Long and short-term climate prediction -- Ensemble characterization of climate model projections -- Past (paleo) climate reconstruction.
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650 |
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|a Atmospheric sciences.
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650 |
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|a Climatology.
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650 |
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|a Climate change.
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650 |
1 |
4 |
|a Atmospheric Sciences.
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650 |
2 |
4 |
|a Climatology.
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650 |
2 |
4 |
|a Climate Change.
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700 |
1 |
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|a Lakshmanan, Valliappa.
|e editor.
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700 |
1 |
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|a Gilleland, Eric.
|e editor.
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700 |
1 |
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|a McGovern, Amy.
|e editor.
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700 |
1 |
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|a Tingley, Martin.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
0 |
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|t Springer eBooks
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