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Using Formal Concept Analysis to Detect and Monitor Organised Crime

  • Simon Andrews
  • Babak Akhgar
  • Simeon Yates
  • Alex Stedmon
  • Laurence Hirsch
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8132)

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.

Keywords

Association Rule Formal Concept Concept Lattice Organise Crime Formal Context 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Simon Andrews
    • 1
  • Babak Akhgar
    • 1
  • Simeon Yates
    • 1
  • Alex Stedmon
    • 1
  • Laurence Hirsch
    • 1
  1. 1.CENTRICSheffield Hallam UniversitySheffieldUK

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