DNN-based prediction model for spatio-temporal data

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn , Issue , 2016, Pages

  Zhang, Junbo ^a   Zheng, Yu ^a,b,c   Qi, Dekang ^d   Li, Ruiyuan ^b   Yi, Xiuwen ^d  

^a MICROSOFT RESEARCH   (United States)

^b XIDIAN UNIVERSITY   (China)

^c SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^d SOUTHWEST JIAOTONG UNIVERSITY   (China)

Author keywords

Deep Learning; Prediction; Spatio Temporal Data

Indexed keywords

FORECASTING; GEOGRAPHIC INFORMATION SYSTEMS; INFORMATION SYSTEMS; KNOWLEDGE MANAGEMENT; NEURAL NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

BASELINE METHODS; CONVOLUTIONAL NEURAL NETWORK; FORECASTING SYSTEM; SPATIAL PROPERTIES; SPATIO-TEMPORAL DATA; SPATIO-TEMPORAL PROPERTIES; TEMPORAL PROPERTY; WIRELESS COMMUNICATION TECHNOLOGY;

DEEP LEARNING;

EID: 85011103564     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2996913.2997016     Document Type: Conference Paper

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