Journal article
From links to meaning: A burglary data case study
Knowledge-Based Intelligent Information and Engineering Systems, Vol.3684, pp.813-822
2005
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.
Details
- Title
- From links to meaning: A burglary data case study
- Authors/Creators
- G. Oatley (Author/Creator) - University of SunderlandJ. Zeleznikow (Author/Creator) - Victoria UniversityR. Leary (Author/Creator) - University College LondonB. Ewart (Author/Creator) - University of Sunderland
- Publication Details
- Knowledge-Based Intelligent Information and Engineering Systems, Vol.3684, pp.813-822
- Publisher
- Springer Verlag
- Identifiers
- 991005544605307891
- Copyright
- © 2005 Springer-Verlag Berlin Heidelberg
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
- Additional Information
- Conference title: KES 2005: Knowledge-Based Intelligent Information and Engineering Systems
Metrics
41 Record Views