A methodology for constructing decision support systems for crime detection

Authors:
John Zeleznikow;Giles Oatley;Richard Leary
Affiliations:
Centre for International Corporate Governance Research Institute, Victoria University, Melbourne City, Victoria, Australia;School of Computing and Technology, University of Sunderland, Sunderland, UK;Department of Statistical Science, University College London, London, UK
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Year:
2005

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Abstract

To build decision support systems for crime detection we need to examine for whom is the system built and how will it be used. In addressing this question we will develop a methodology for developing crime detection decision support systems. The methodology is based on a methodology for analyzing the aims of certain unlawful acts.