Predicting burglars’ risk exposure and level of pre-crime preparation using crime scene data

Author:

Boldt Martin1,Borg Anton1,Svensson Martin1,Hildeby Jonas2

Affiliation:

1. Blekinge Institute of Technology, SE-371 79 Karlskrona, Sweden

2. The National Offender Profiling Group, Swedish Police, Polhemsgatan 30, SE-241 05 Stockholm, Sweden

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference40 articles.

1. Partially supervised spatiotemporal clustering for burglary crime series identification;Reich;Journal of Royal Statistical Society, Series A (Statistical Society),2015

2. Case linkage: identifying crimes committed by the same offender;Woodhams;Criminal Profiling: International Theory, Research, and Practice,2007

3. K. Rossmo, Geographic Profiling, CRC Press, Boca Raton, 1999.

4. The use of DNA profiling and behavioural science in the investigation of sexual offences;Davies;Medicine, Science and the Law,1991

5. C.E. O’Hara and G.L. O’Hara, Fundamentals of Criminal Investigation (7th ed.), Charles C Thomas Publisher Ltd., Springfield, IL, 1956.

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