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SalienTime: User-driven Selection of Salient Time Steps for..:

, In: Proceedings of the CHI Conference on Human Factors in Computing Systems,

Chen, Juntong ; Huang, Haiwen ; Ye, Huayuan... - p. 1-19 , 2024

Link: https://dl.acm.org/doi/10.1145/3613904.3642944

RT 
T1 <cTitle>Proceedings of the CHI Conference on Human Factors in Computing Systems</cTitle>: T1 <Title>SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3642944&Exemplar=1&LAN=DE
				
A1 Chen, Juntong
A1 Huang, Haiwen
A1 Ye, Huayuan
A1 Peng, Zhong
A1 Li, Chenhui
A1 Wang, Changbo
PB ACM
YR 2024
K1 Geospatial Data
K1 Key Time Selection
K1 Large-scale Data Visualization
K1 Need-finding Study
K1 Visualization Design
K1 Human-centered computing
K1 Visualization
K1 Visualization systems and tools
K1 Information systems
K1 Information systems applications
K1 Spatial-temporal systems
K1 Geographic information systems
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Learning latent representations
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Algorithm design techniques
K1 Dynamic programming
K1 Interaction design
K1 Interaction design process and methods
SP 1
OP 19
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3613904.3642944
DO https://dl.acm.org/doi/10.1145/3613904.3642944
SF ELIB - SuUB Bremen

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