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1 Ergebnisse
1
InterNet : Multistep Traffic Forecasting by Interacting ..:
, In:
Proceedings of the 29th ACM International Conference on Information & Knowledge Management
,
Xin, Yilian
;
Miao, Dezhuang
;
Zhu, Mengxia
.. - p. 3477-3480 , 2020
Link:
https://dl.acm.org/doi/10.1145/3340531.3417411
RT T1
Proceedings of the 29th ACM International Conference on Information & Knowledge Management
: T1
InterNet : Multistep Traffic Forecasting by Interacting Spatial and Temporal Features
UL https://suche.suub.uni-bremen.de/peid=acm-3417411&Exemplar=1&LAN=DE A1 Xin, Yilian A1 Miao, Dezhuang A1 Zhu, Mengxia A1 Jin, Cheqing A1 Lu, Xuesong PB ACM YR 2020 K1 intelligent transportation systems K1 multistep traffic forecasting K1 spatial-temporal interaction K1 Computing methodologies K1 Artificial intelligence K1 Applied computing K1 Operations research K1 Forecasting K1 Transportation K1 Social and professional topics K1 User characteristics K1 Geographic characteristics K1 Mathematics of computing K1 Probability and statistics K1 Statistical paradigms K1 Time series analysis K1 Information systems K1 Data management systems K1 Database design and models K1 Graph-based database models K1 Network data models K1 Machine learning K1 Machine learning algorithms K1 Spectral methods SP 3477 OP 3480 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3340531.3417411 DO https://dl.acm.org/doi/10.1145/3340531.3417411 SF ELIB - SuUB Bremen
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