From links to meaning: A burglary data case study

Oatley, G., Zeleznikow, J., Leary, R. and Ewart, B. (2005) From links to meaning: A burglary data case study. Lecture Notes in Computer Science, 3684 . pp. 813-822.

Abstract

Our central aim is the development of decision support systems for purposes such 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, examining the operational use of networks and the metric of brokerage from the social network analysis literature. Our work builds upon several years of experimentation using forensic psychology guided exploratory techniques from artificial intelligence, statistics and spatial statistics.

Item Type:	Journal Article
Publisher:	Springer Verlag
Copyright:	© 2005 Springer-Verlag Berlin Heidelberg
Other Information:	Conference title: KES 2005: Knowledge-Based Intelligent Information and Engineering Systems
URI:	http://researchrepository.murdoch.edu.au/id/eprint/36229

Item Control Page