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From Links to Meaning: A Burglary Data Case Study

Oatley, Giles and Zeleznikow, John and Leary, Richard and Ewart, Brian (2005) From Links to Meaning: A Burglary Data Case Study. In: Knowledge-based intelligent information and engineering systems: 9th international conference, KES 2005, Melbourne, Australia, September 14-16, 2005 : proceedings. Khosla, Rajiv and Howlett, Robert J and Jain, Lakhmi C, eds. Lecture Notes in Computer Science ; 0302-9743 (3684). Springer, Berlin, Germany, pp. 813-822.

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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: Book Section
ISBN: 3540288978 (print) 9783540319979 (online)
Uncontrolled Keywords: ResPubID8597, ResPubID12235, criminal networks, brokerage metric, burglary arrest, PAJEK software, spatial density representation, FLINTS, Forensic Led Intelligence System, Advanced Information Technologies, Link discovery tool
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 0803 Computer Software
FOR Classification > 0806 Information Systems
FOR Classification > 1801 Law
Faculty/School/Research Centre/Department > School of Management and Information Systems
Depositing User: VUIR
Date Deposited: 05 Sep 2013 23:26
Last Modified: 05 Sep 2013 23:28
URI: http://vuir.vu.edu.au/id/eprint/10651
DOI: 10.1007/11554028_114
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