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Associative search through Formal Concept Analysis in Criminal Intelligence Analysis

Authors :
B. L. William Wong
Nadeem Qazi
Neesha Kodagoda
Richard Adderley
Source :
SMC
Publication Year :
2016
Publisher :
IEEE, 2016.

Abstract

Criminal Intelligence Analysis often requires a search different from the semantic and keyword based searching to reveal the associations among semantically and operationally connected objects within a crime knowledge base. In this paper we introduce associative search as a search along the networks of association between objects like people, places, other organizations, products, events, services, and so on. We also propose an associative search model based on the 5WH associated concepts of a crime, i.e. WHAT (what has happened), WHO (who was involved in the crime), WHEN (the temporal information of the crime), WHERE (the geo-spatial information of the crime) HOW (the modus-operandi used in committing a crime). We have employed Formal Concept Analysis theory to reveal the associations, highlighting Hot Spots, offender's profile and its associated offenders in a criminal activity.

Details

Database :
OpenAIRE
Journal :
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Accession number :
edsair.doi...........290bd9d7ded4c3d1cb5ab8a49855b37e
Full Text :
https://doi.org/10.1109/smc.2016.7844519