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Application of a brain inspired model for profiling multi-view crime patterns

Boo, Yee Ling and Alahakoon, Damminda 2010, Application of a brain inspired model for profiling multi-view crime patterns, in ICIAFS 2010 : Proceedings of the 2010 5th International Conference on Information and Automation for Sustainability : Sustainable Development through Effective Man-machine Co-existence, IEEE, Piscataway, N.J., pp. 493-498.

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Title Application of a brain inspired model for profiling multi-view crime patterns
Author(s) Boo, Yee Ling
Alahakoon, Damminda
Conference name IEEE International Conference on Information and Automation for Sustainability (5th : 2010 : Colombo, Sri Lanka)
Conference location Colombo, Sri Lanka
Conference dates 17-19 Dec. 2010
Title of proceedings ICIAFS 2010 : Proceedings of the 2010 5th International Conference on Information and Automation for Sustainability : Sustainable Development through Effective Man-machine Co-existence
Editor(s) [Halgamuge, Malka N.]
Publication date 2010
Conference series International Conference on Information and Automation for Sustainability
Start page 493
End page 498
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Brain inspired model
growing self organising maps
crime profiling
Summary With the massive amount of crime data generated daily, this has put law enforcement under intensive stress. This means that law enforcement has to compete against the time to solve crime. In addition, the focus of crime investigation has been expanded from the ability to catch the criminals towards the ability to act before a crime happens (i.e pre-crime). Given such situation, creation of crime profiles is very important to law enforcement, especially in understanding the behaviours of criminals and identifying the characteristics of similar crimes. In fact, crime profiles could be used to solve similar crimes and thus pre-crime action could be conducted. In this paper, a brain inspired conceptual model is proposed and a structurally adaptive neural network is deployed for its implementation. Subsequently, the proposed model is applied for the identification and presentation of multi-view crime patterns. Such multi-view crime patterns could be useful for the construction of crime profiles. Moreover, the suitability of the proposed model in crime profiling is discussed and demonstrated through some experimental results.
ISBN 9781424485499
9781424485512
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
080109 Pattern Recognition and Data Mining
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2010 IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30045981

Document type: Conference Paper
Collections: Faculty of Business and Law
School of Information and Business Analytics
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