Spatio-temporal modeling of criminal incidents using geographic, demographic, and twitter-derived information

ISI 2012 - 2012 IEEE International Conference on Intelligence and Security Informatics: Cyberspace, Border, and Immigration Securities

Volumn , Issue , 2012, Pages 36-41

  Wang, Xiaofeng ^a   Brown, Donald E ^a   Gerber, Matthew S ^a  

^a University of Virginia   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CRIMINAL ACTIVITIES; ECONOMIC LOSS; EVENT MODELING; EVENT-BASED; FEATURE SELECTION METHODS; FEATURE-BASED; GENERALIZED ADDITIVE MODEL; LAW-ENFORCEMENT AGENCIES; MODELING PROCESS; SPATIO-TEMPORAL; SPATIOTEMPORAL MODELING; SPATIOTEMPORAL PATTERNS; TEXTUAL ANALYSIS; VIRGINIA;

INFORMATION SCIENCE; LOSSES; SOCIAL NETWORKING (ONLINE);

CRIME;

EID: 84867370068     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISI.2012.6284088     Document Type: Conference Paper

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