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BigGIS : a continuous refinement approach to master hete..:

, In: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems,

Wiener, Patrick ; Stein, Manuel ; Seebacher, Daniel... - p. 1-4 , 2016

Link: https://dl.acm.org/doi/10.1145/2996913.2996931

RT 
T1 <cTitle>Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems</cTitle>: T1 <Title>BigGIS				: a continuous refinement approach to master heterogeneity and uncertainty in spatio-temporal big data (vision paper)</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2996931&Exemplar=1&LAN=DE
				
A1 Wiener, Patrick
A1 Stein, Manuel
A1 Seebacher, Daniel
A1 Bruns, Julian
A1 Frank, Matthias
A1 Simko, Viliam
A1 Zander, Stefan
A1 Nimis, Jens
PB ACM
YR 2016
K1 big data analytics
K1 data architecture
K1 knowledge generation
K1 Information systems
K1 Information systems applications
K1 Spatial-temporal systems
K1 Geographic information systems
K1 Software and its engineering
K1 Software notations and tools
K1 Formal language definitions
K1 Semantics
K1 Human-centered computing
K1 Visualization
K1 Visualization application domains
K1 Visual analytics
SP 1
OP 4
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2996913.2996931
DO https://dl.acm.org/doi/10.1145/2996913.2996931
SF ELIB - SuUB Bremen

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