FCCF: Forecasting citywide crowd flows based on big data

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

Volumn , Issue , 2016, Pages

  Hoang, Minh X ^a   Zheng, Yu ^b   Singh, Ambuj K ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MICROSOFT RESEARCH   (United States)

Author keywords

Spatio temporal data mining; Urban computing

Indexed keywords

COMPLEX NETWORKS; DATA MINING; FORECASTING; GEOGRAPHIC INFORMATION SYSTEMS; HIGHWAY TRAFFIC CONTROL; INFORMATION SYSTEMS; MARKOV PROCESSES; MOTOR TRANSPORTATION; RISK ASSESSMENT; ROADS AND STREETS; SAFETY ENGINEERING; TRAFFIC CONTROL; TRANSPORTATION;

GAUSSIAN MARKOV RANDOM FIELD; MOVEMENT OF CROWDS; PRACTICAL SOLUTIONS; REAL-WORLD DATASETS; SPATIO-TEMPORAL DATA MINING; TRAFFIC MANAGEMENT; TRAFFIC PREDICTION; URBAN COMPUTING;

BIG DATA;

EID: 85011034343     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2996913.2996934     Document Type: Conference Paper

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