Associative search through Formal Concept Analysis in Criminal Intelligence Analysis
Conference paper
Qazi, N., William Wong, B. L., Kodagoda, N. and Adderley, R. 2017. Associative search through Formal Concept Analysis in Criminal Intelligence Analysis. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016) . IEEE. https://doi.org/10.1109/SMC.2016.7844519
Authors | Qazi, N., William Wong, B. L., Kodagoda, N. and Adderley, R. |
---|---|
Type | Conference paper |
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. |
Year | 2017 |
Conference | IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016) |
Publisher | IEEE |
Accepted author manuscript | License File Access Level Anyone |
Publication dates | |
Online | 09 Feb 2017 |
Publication process dates | |
Deposited | 08 Sep 2025 |
Book title | 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) |
ISBN | 978-1-5090-1897-0 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/SMC.2016.7844519 |
Web address (URL) of conference proceedings | https://ieeexplore.ieee.org/xpl/conhome/7830913/proceeding |
Copyright holder | © 2017 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. |
https://repository.uel.ac.uk/item/8q04q
Download files
314
total views1
total downloads314
views this month1
downloads this month