From Links to Meaning: A Burglary Data Case Study
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Oatley, Giles, Zeleznikow, John 
ORCID: 0000-0002-8786-2644, 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, Howlett, Robert J and Jain, Lakhmi C, eds.
Lecture Notes in Computer Science ; 0302-9743
(3684).
Springer, Berlin, Germany, 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.
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| Item type | Book Section |
| URI | https://vuir.vu.edu.au/id/eprint/10651 |
| DOI | 10.1007/11554028_114 |
| Official URL | http://link.springer.com/chapter/10.1007%2F1155402... |
| ISBN | 3540288978 (print) 9783540319979 (online) |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 0803 Computer Software Historical > FOR Classification > 0806 Information Systems Historical > FOR Classification > 1801 Law Historical > Faculty/School/Research Centre/Department > School of Management and Information Systems |
| 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 |
| Citations in Scopus | 6 - View on Scopus |
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