EXPLORING THE POTENTIAL FOR USING ARTIFICIAL INTELLIGENCE TECHNIQUES IN POLICE REPORT ANALYSIS - A Design Research Approach

Fredrik Bengtsson, Amadeus Hein, Carl Magnus Olsson

Abstract

Storing digital data is increasingly affordable and attractive for many organizations, thus allowing longitudinal postum analysis of events and for identifying trends that may hold interest for predicting future scenarios. Results of manual data analysis suffer from high time consumption and human error due to the complexity or volume of data. Responding to this, our study explores advances in artificial intelligence techniques by presenting experiences from the iterative development of a prototype that assists intelligence officers in identifying trends in serial crimes. This study contributes by illustrating the first steps that may be taken towards diffusing advances in artificial intelligence into a practice area serving the general public.

References

  1. Bache, R, Crestani, F, Canter D, Youngs, D 2007 'Application of Language Models to Suspect Prioritisation and Suspect Likelihood in Serial Crimes', IAS 7807 Proceedings of the Third International Symposium on Information Assurance and Security, IEEE Computer Society Washington, DC, USA, pp. 399-404.
  2. BRÅ 2009. Brottsförebyggande Rådet (Translation: 'The Swedish National Council for Crime Prevention'), Available in English at http://www.bra.se/extra/pod/ ?action=pod_show&id=1&module_instance=11
  3. Charles, J 1998, 'AI and law enforcement', Intelligent Systems and their Applications, IEEE, vol. 13, no. 1, pp. 77-80.
  4. Chau, M, Xu, J, Chen, H 2002, 'Extracting meaningful entities from police narrative reports', Proceedings of the 2002 annual national conference on digital government research, Digital Government Society of North America, pp. 1-5
  5. Chen, H, Chung, W, Xu, J.J, Wang, G, Qin, Y, Chau, M 2004, 'Crime data mining: a general framework and some examples', Computer, vol. 37, no. 4, pp. 50-56.
  6. Creswell, J W 2003, Research design: qualitative, quantitative and mixed methods approaches, 2nd edn, Sage Publications Inc, London.
  7. Goodwill, A, Alison, L 2006, 'The development of a filter model for prioritising suspects in burglary offences', Psychology, Crime and Law, vol. 12, no. 4, pp. 395- 416.
  8. Heaton, J 2008, Introduction to neural networks for Java, 2nd edn. Heaton Research, Chesterfield.
  9. Helberg, C 2002, Data mining with confidence - SPSS (2nd edn). SPSS Inc, Chicago, Illinois.
  10. Hevner, A. R, Chatterjee, S 2010, Design research in information systems: Theory and practice, Springer, New York; London.
  11. Hevner, A. R, March, S, Park, J, Ram, S 2004, 'Design science in information systems research', MIS Quarterly, vol. 28, no. 1, pp. 75-105.
  12. Jeffries, R, Turner, A. A, Polson, P. G, Atwood, M. E 1981, 'The processes involved in designing software', in Anderson, J. R. (ed.), Cognitive Skills And Their Acquisition, Hillsdale, NJ: Lawrence Erlbaum Associates, pp, 255-283.
  13. Kingston, C 1992, 'Neural networks in forensic science', Journal of Forensic Sciences, vol. 37, no. 1.
  14. Kuechler, W. and Vaishnavi, V. 2007, 'Design [science] research in IS: A work in progress' Proceedings of 2nd International Conference on Design Science Research in Information Systems and Technology (DESRIST 7807), Pasedena, CA, May 13-16, 2007.
  15. Liang, B, Austin, J 2005, 'A neural network for mining large volumes of time series data', Conference on industrial technology, pp. 688-693, 14-17 December 2005.
  16. Myers, M, Newman, M 2007 “The qualitative interview in IS research: examining the craft”, Information and Organization, vol. 17, no. 1, pp. 2-26.
  17. Nath, S V, 2006 'Crime pattern detection using data mining', Proceeding of the 2006 IEEE/WIC/ACM International Conference on Web Intelligent Agent Technology, Oracle Corporation, Florida, Atlantic University, pp. 41-44.
  18. Rajagopalan, B, Isken, M.W. 2001, “Exploiting data preparation to enhance mining and knowledge discovery,” IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol.31, no.4, pp.460-467.
  19. Schön, D. A 1983, The reflective practitioner: How professionals think in action, Basic Books, New York.
  20. Shaon, A, Woolf, A 2008, 'An OASIS based approach to effective long-term digital metadata curation', Computer and Information Science, vol. 1, no. 2, pp. 2-12.
  21. Tanasescu, A, Boussaid, O, Bentayeb, F 2005, 'Preparing complex data for warehousing' The 3rd ACS/IEEE International Conference on Computer Systems and Applications, pp. 30-33.
  22. Williams, C 1983 'A brief introduction to artificial intelligence', OCEANS'83 Proceedings, vol., no., pp. 94-99.
  23. Wolcott, H.T. 1994, Transforming qualitative data: description, analysis, and interpretation, Sage, Thousand Oaks, CA.
  24. Younghoon, K, Kyoung-Gu, W, Hyoungmin, P, Kyuseok, S 2010, 'Efficient processing of substring match queries with inverted q-gram indexes' International Conference on Data Engineering (ICDE), vol., no., pp. 721-732, 01-06 March 2010.
Download


Paper Citation


in Harvard Style

Bengtsson F., Hein A. and Magnus Olsson C. (2012). EXPLORING THE POTENTIAL FOR USING ARTIFICIAL INTELLIGENCE TECHNIQUES IN POLICE REPORT ANALYSIS - A Design Research Approach . In Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-95-9, pages 213-218. DOI: 10.5220/0003710802130218


in Bibtex Style

@conference{icaart12,
author={Fredrik Bengtsson and Amadeus Hein and Carl Magnus Olsson},
title={EXPLORING THE POTENTIAL FOR USING ARTIFICIAL INTELLIGENCE TECHNIQUES IN POLICE REPORT ANALYSIS - A Design Research Approach},
booktitle={Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2012},
pages={213-218},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003710802130218},
isbn={978-989-8425-95-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - EXPLORING THE POTENTIAL FOR USING ARTIFICIAL INTELLIGENCE TECHNIQUES IN POLICE REPORT ANALYSIS - A Design Research Approach
SN - 978-989-8425-95-9
AU - Bengtsson F.
AU - Hein A.
AU - Magnus Olsson C.
PY - 2012
SP - 213
EP - 218
DO - 10.5220/0003710802130218