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Distributed and cloud-based multi-model analytics experimen..:

, In: 2016 IEEE International Conference on Big Data (Big Data),

Fiore, S. ; Plociennik, M. ; Doutriaux, C.... - p. 2911-2918 , 2016

Link: https://doi.org/10.1109/BigData.2016.7840941

RT 
T1 <cTitle>2016 IEEE International Conference on Big Data (Big Data)</cTitle>: T1 <Title>Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-7840941&Exemplar=1&LAN=DE
				
A1 Fiore, S.
A1 Plociennik, M.
A1 Doutriaux, C.
A1 Palazzo, C.
A1 Boutte, J.
A1 Zok, T.
A1 Elia, D.
A1 Owsiak, M.
A1 D'Anca, A.
A1 Shaheen, Z.
A1 Bruno, R.
A1 Fargetta, M
A1 Caballer, M.
A1 Molto, G.
A1 Blanquer, I.
A1 Barbera, R.
A1 David, M.
A1 Donvito, G.
A1 Williams, D. N.
A1 Anantharaj, V.
A1 Salomoni, D.
A1 Aloisio, G.
YR 2016
K1 Meteorology
K1 Data analysis
K1 Data models
K1 Analytical models
K1 Biological system modeling
K1 Context awareness
K1 Market research
K1 Climate change
K1 big analytics
K1 workflow management
K1 cloud computing
K1 ESGF
K1 INDIGO-DataCloud
SP 2911
OP 2918
LK http://dx.doi.org/https://doi.org/10.1109/BigData.2016.7840941
DO https://doi.org/10.1109/BigData.2016.7840941
SF ELIB - SuUB Bremen

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