Associative search through formal concept analysis in criminal intelligence analysis

Qazi, Nadeem, Wong, B. L. William ORCID logoORCID:, Kodagoda, Neesha and Rick, Adderley (2016) Associative search through formal concept analysis in criminal intelligence analysis. 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary, 2016. In: IEEE SMC 2016: International Conference on Systems, Man, and Cybernetics, 09-12 Oct 2016, Budapest, Hungry. ISBN 9781509018970. [Conference or Workshop Item] (doi:10.1109/SMC.2016.7844519)

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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

Item Type: Conference or Workshop Item (Paper)
Keywords (uncontrolled): criminal intelligence; association rules, semantic search; formal concept theory; linked analysis
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 21191
Notes on copyright: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Nadeem Qazi
Date Deposited: 30 Jan 2017 16:27
Last Modified: 29 Nov 2022 21:32

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