Matching and predicting crimes

Tools

Oatley, G.C., Zeleznikow, J. and Ewart, B.W. (2005) Matching and predicting crimes. In: Macintosh, A., Ellis, R. and Allen, T., (eds.) Applications and Innovations in Intelligent Systems XII. Springer, London, pp. 19-32.

Link to Published Version: http://dx.doi.org/10.1007/1-84628-103-2_2
*Subscription may be required

Abstract

Our central aim is the development of decision support systems based on appropriate technology for such purposes as profiling single and series of crimes or offenders, and matching and predicting crimes.

This paper presents research in this area for the high-volume crime of Burglary Dwelling House, with examples taken from the authors’ own work a United Kingdom police force.

Discussion and experimentation include exploratory techniques from spatial statistics and forensic psychology. The crime matching techniques used are case-based reasoning, logic programming and ontologies, and naïve Bayes augmented with spatio-temporal features. The crime prediction techniques are survival analysis and Bayesian networks.

Item Type:	Book Chapter
Publisher:	Springer, London
Copyright:	© 2005 Springer-Verlag London Limited
URI:	http://researchrepository.murdoch.edu.au/id/eprint/36251

Item Control Page