Using formal concept analysis to detect and monitor organised crime

ANDREWS, Simon, AKHGAR, Babak, YATES, Simeon, STEDMON, Alex and HIRSCH, Laurence (2013). Using formal concept analysis to detect and monitor organised crime. In: LARSEN, Henrik Legind, MARTIN-BAUTISTA, Maria J., VILA, María Amparo, ANDREASEN, Troels and CHRISTIANSEN, Henning, (eds.) Flexible Query Answering Systems. Lecture Notes in Computer Science (8132). Heidelberg, Springer, 124-133.

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Official URL: http://dx.doi.org/10.1007/978-3-642-40769-7_11
Link to published version:: https://doi.org/10.1007/978-3-642-40769-7_11

Abstract

This paper describes some possible uses of Formal Concept Analysis in the detection and monitoring of Organised Crime. After describing FCA and its mathematical basis, the paper suggests, with some simple examples, ways in which FCA and some of its related disciplines can be applied to this problem domain. In particular, the paper proposes FCA-based approaches for finding multiple instances of an activity associated with Organised Crime, finding dependencies between Organised Crime attributes, and finding new indicators of Organised Crime from the analysis of existing data. The paper concludes by suggesting that these approaches will culminate in the creation and implementation of an Organised Crime ‘threat score card’, as part of an overall environmental scanning system that is being developed by the new European ePOOLICE project

Item Type: Book Section
Additional Information: 10th International Conference, FQAS 2013, Granada, Spain, September 18-20, 2013. Proceedings
Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
Identification Number: https://doi.org/10.1007/978-3-642-40769-7_11
Page Range: 124-133
Depositing User: Helen Garner
Date Deposited: 29 Oct 2014 10:58
Last Modified: 18 Mar 2021 04:38
URI: https://shura.shu.ac.uk/id/eprint/8608

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