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StepDeep : A Novel Spatial-temporal Mobility Event Predi..:

, In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,

Shen, Bilong ; Liang, Xiaodan ; Ouyang, Yufeng... - p. 724-733 , 2018

Link: https://dl.acm.org/doi/10.1145/3219819.3219931

RT 
T1 <cTitle>Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>StepDeep				: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3219931&Exemplar=1&LAN=DE
				
A1 Shen, Bilong
A1 Liang, Xiaodan
A1 Ouyang, Yufeng
A1 Liu, Miaofeng
A1 Zheng, Weimin
A1 Carley, Kathleen M.
PB ACM
YR 2018
K1 convolutional neural network
K1 deep learning
K1 intelligent transportation systems
K1 spatial temporal data mining
K1 time series prediction
K1 Information systems
K1 Information systems applications
K1 Spatial-temporal systems
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Artificial intelligence
K1 Knowledge representation and reasoning
K1 Spatial and physical reasoning
SP 724
OP 733
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3219819.3219931
DO https://dl.acm.org/doi/10.1145/3219819.3219931
SF ELIB - SuUB Bremen

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