Online indexing and clustering of social media data for emergency management

Neurocomputing

Volumn 172, Issue , 2016, Pages 168-179

  Pohl, Daniela ^a   Bouchachia, Abdelhamid ^b   Hellwagner, Hermann ^a  

^a UNIVERSITY OF KLAGENFURT   (Austria)

^b BOURNEMOUTH UNIVERSITY   (United Kingdom)

Author keywords

Emergency management; Event detection; Information filtering; Online clustering; Online indexing

Indexed keywords

CIVIL DEFENSE; DISASTERS; EMERGENCY SERVICES; HURRICANES; INDEXING (OF INFORMATION); INFORMATION FILTERING; RISK MANAGEMENT;

COMMUNICATION PRACTICES; EMERGENCY EXERCISE; EMERGENCY MANAGEMENT; EMERGENCY RESPONDERS; EMERGENCY SITUATION; EVENT DETECTION; ONLINE-CLUSTERING; REAL WORLD SITUATIONS;

SOCIAL NETWORKING (ONLINE);

ACCESS TO INFORMATION; ALGORITHM; ARTICLE; AUTOANALYSIS; CALCULATION; CLUSTER ANALYSIS; CONCEPTUAL FRAMEWORK; DATA ANALYSIS; EYE TRACKING; INCIDENCE; KERNEL METHOD; ONLINE SYSTEM; PRIORITY JOURNAL; SOCIAL MEDIA;

EID: 84946493759     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.01.084     Document Type: Article

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