Skip to main content

Using Formal Concept Analysis to Detect and Monitor Organised Crime

  • Conference paper
Flexible Query Answering Systems (FQAS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8132))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Andrews, S.: In-close2, a high performance formal concept miner. In: Andrews, S., Polovina, S., Hill, R., Akhgar, B. (eds.) ICCS 2011. LNCS, vol. 6828, pp. 50–62. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  2. Andrews, S., Orphanides, C.: FcaBedrock, a formal context creator. In: Croitoru, M., Ferré, S., Lukose, D. (eds.) ICCS 2010. LNCS, vol. 6208, pp. 181–184. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  3. Andrews, S., Orphanides, C.: Knowledge discovery through creating formal contexts, pp. 455–460. IEEE Computer Society (2010)

    Google Scholar 

  4. Becker, P., Correia, J.H.: The ToscanaJ Suite for Implementing Conceptual Information Systems. In: Ganter, B., Stumme, G., Wille, R. (eds.) Formal Concept Analysis. LNCS (LNAI), vol. 3626, pp. 324–348. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  5. Europol. Eu organised crime threat assessment: Octa 2011. file no. 2530-274. Technical report, Europol, O2 Analysis & Knowledge, The Hague (2011)

    Google Scholar 

  6. Frank, A., Asuncion, A.: UCI machine learning repository (2010), http://archive.ics.uci.edu/ml

  7. Ganter, B., Kuzntesov, S.O.: Formalizing hypotheses with concepts. In: Ganter, B., Mineau, G.W. (eds.) ICCS 2000. LNCS (LNAI), vol. 1867, pp. 342–356. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  8. Ganter, B., Wille, R.: Formal Concept Analysis: Mathematical Foundations. Springer (1998)

    Google Scholar 

  9. Goethals, B.: Frequent itemset mining implementations repository, http://fimi.ua.ac.be/

  10. Goethals, B., Zaki, M.: Advances in frequent itemset mining implementations: Report on fimi’03. SIGKDD Explorations Newsletter 6(1), 109–117 (2004)

    Article  Google Scholar 

  11. Imberman, S., Domanski, D.: Finding association rules from quantitative data using data booleanization (1999)

    Google Scholar 

  12. Kuznetsov, S.O.: Mathematical aspects of concept analysis. Journal of Mathematical Science 18, 1654–1698 (1996)

    Article  Google Scholar 

  13. Outrata, J., Vychodil, V.: Fast algorithm for computing fixpoints of galois connections induced by object-attribute relational data. Inf. Sci. 185(1), 114–127 (2012), doi:10.1016/j.ins.2011.09.023

    Article  MathSciNet  MATH  Google Scholar 

  14. Pastor, R.: epoolice: Early pusuit against organised crime using environmental scanning, the law and intelligence systems (2013), https://www.epoolice.eu/

  15. Priss, U.: Formal concept analysis in information science. Annual Review of Information Science and Technology (ASIST) 40 (2008)

    Google Scholar 

  16. United Nations: Global programme against transnational organized crime. Results of a pilot survey of forty selected organized criminal groups in sixteen countries. Technical report, United Nations: Offcie on Drugs and Crime (2002)

    Google Scholar 

  17. General Secretariat. Serious and organised crime threat assessment (socta) - methodology. Technical report, Council of the European Union (2012)

    Google Scholar 

  18. CISC Strategic Criminal Analytical Services. Strategic early warning for criminal intelligence. Technical report, Criminal Intelligence Service Canada (CISC), Central Bureau, Ottawa (2007)

    Google Scholar 

  19. Valtchev, P., Missaoui, R., Godin, R.: Formal concept analysis for knowledge discovery and data mining: The new challenges. In: Eklund, P. (ed.) ICFCA 2004. LNCS (LNAI), vol. 2961, pp. 352–371. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  20. Yevtushenko, S.A.: System of data analysis “concept explorer”. In: Proceedings of the 7th National Conference on Artificial Intelligence KII 2000, pp. 127–134 (2000) (in Russian)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Andrews, S., Akhgar, B., Yates, S., Stedmon, A., Hirsch, L. (2013). Using Formal Concept Analysis to Detect and Monitor Organised Crime. In: Larsen, H.L., Martin-Bautista, M.J., Vila, M.A., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2013. Lecture Notes in Computer Science(), vol 8132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40769-7_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40769-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40768-0

  • Online ISBN: 978-3-642-40769-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics