Canadian Policing Research Catalogue

Location

Public Safety Canada Library & Canadian Policing Research Catalogue

Resource

e-Archives

Alternate Title

Évaluation du nombre d'organisations criminelles possibles selon des données sur la complicité.

Authors

• Glässer, Uwe, 1959-
• Tayebi, Mohammad A.
• Brantingham, Patricia L.
• Brantingham, Paul J.
• Canada. Public Safety Canada.

Publishers

• [Ottawa] :  Public Safety Canada, 2012.

Bibliography

Includes bibliographical references.

Description

1 online resource (39 p.)

Note

Distributed by the Government of Canada Depository Services Program (Weekly checklist 2012-47).
Issued also in French under title: Évaluation du nombre d'organisations criminelles possibles selon des données sur la complicité.
"Report no. 29, 2012".
Authors affiliated with: Simon Fraser University.

Summary

"A method of data mining regular police records to identify possible criminal organizations has been developed. Between 2001 and 2006, offending related to 236 possible criminal organizations was reported to RCMP "E" Division, with 39 of the groups being particularly serious. This study combined computational mathematical analysis, social network analysis methods, and data mining techniques in a unique way to automatically identify traces of possible criminal organizations in operational police records."--Executive summary.

Subject

• Royal Canadian Mounted Police
• Organized crime - Canada.
• Accomplices - Canada.
• Organized Crime.
• Accomplices.
• Criminal organization detection.
• RCMP.

Contents

1. Introduction – 1.1. Analytic approach – 2. Related work – 3. Crime dataset – 3.1. Dataset overview – 3.2. Co-offending network – 4. Definitions – 4.1. Crime data model – 4.2. Co-offending network model – 4.3. Co-offender group structures – 5. Criminal organization detection – 5.1. Co-offender group characteristics – 5.2. Hard constraint approach – 5.3. Soft constraint approach.