Predicting crime using Twitter and kernel density estimation

Decision Support Systems

Volumn 61, Issue 1, 2014, Pages 115-125

  Gerber, Matthew S ^a  

^a University of Virginia   (United States)

Author keywords

Crime prediction; Density estimation; Topic modeling; Twitter

Indexed keywords

ARTIFICIAL INTELLIGENCE; CRIME; DECISION MAKING; DECISION SUPPORT SYSTEMS; FORECASTING; RESEARCH; SEMANTICS; STATISTICS;

DENSITY ESTIMATION; KERNEL DENSITY ESTIMATION; LINGUISTIC ANALYSIS; PERFORMANCE BOTTLENECKS; PREDICTION PERFORMANCE; PREDICTIVE ANALYTICS; TOPIC MODELING; TWITTER;

SOCIAL NETWORKING (ONLINE);

EID: 84897492871     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2014.02.003     Document Type: Article

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