Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn 2015-January, Issue January, 2014, Pages 80-89

  Chen, Po Ta ^a   Chen, Feng ^a   Qian, Zhen ^a  

^a NONE

Author keywords

Markov Random Fields; Social Media; Traffic Congestion Monitoring

Indexed keywords

COMPUTATION THEORY; DATA MINING; INFERENCE ENGINES; MARKOV PROCESSES; MODELING LANGUAGES; MONITORING; MOTOR TRANSPORTATION; PROBES; RANDOM VARIABLES; ROADS AND STREETS; SOCIAL NETWORKING (ONLINE);

APPROXIMATE INFERENCE; COMPUTATIONAL CHALLENGES; CONGESTION ESTIMATION; MARKOV RANDOM FIELDS; ROAD TRAFFIC MONITORING; SOCIAL MEDIA; STATISTICAL FRAMEWORK; TECHNICAL CHALLENGES;

TRAFFIC CONGESTION;

EID: 84936942761     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2014.139     Document Type: Conference Paper

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