Detecting serial residential burglaries using clustering

Expert Systems with Applications

Volumn 41, Issue 11, 2014, Pages 5252-5266

  Borg, Anton ^a   Boldt, Martin ^a   Lavesson, Niklas ^a   Melander, Ulf ^b   Boeva, Veselka ^c  

^a BLEKINGE INSTITUTE OF TECHNOLOGY   (Sweden)

^b Blekinge County Police   (Sweden)

^c TECHNICAL UNIVERSITY OF SOFIA   (Bulgaria)

Author keywords

Crime clustering; Cut clustering; Decision support system; Residential burglary analysis

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; DECISION SUPPORT SYSTEMS; HOUSING;

CLUSTERING APPROACH; CLUSTERING SOLUTIONS; CUT CLUSTERING; DATA COLLECTION METHOD; LAW ENFORCEMENT OFFICERS; LAW-ENFORCEMENT AGENCIES; QUALITY PERFORMANCE; RESIDENTIAL BURGLARY ANALYSIS;

CRIME;

EID: 84898479915     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.02.035     Document Type: Article

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