Areal aggregated crime reasoning through density tracing

Phillips, Peter, and Lee, Ickjai (2007) Areal aggregated crime reasoning through density tracing. In: Proceedings ICDM Workshops 2007 - Seventh IEEE International Conference on Data Mining - Workshops, pp. 649-654. From: Seventh IEEE International Conference on Data Minining, 28-31 October 2007, Omaha, Nebraska, USA.

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Abstract

Intelligent crime analysis allows for a greater understanding of the dynamics of unlawful activities, providing possible answers to where, when and why certain crimes are likely to happen. In this paper, we propose a density tracing based approach for reasoning about large areal aggregated crime datasets. Crime and spatial features exhibiting similar density traces can be reasoned show correlation. The proposed system discovers both positive and negative associative features. Experimental results demonstrate the robustness of our approach.

Item ID: 3109
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: crime data mining; density tracing; crime reasoning
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ISBN: 0-7695-3033-8
Date Deposited: 01 Oct 2009 02:18
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified @ 60%
09 ENGINEERING > 0909 Geomatic Engineering > 090903 Geospatial Information Systems @ 20%
08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080605 Decision Support and Group Support Systems @ 20%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 50%
89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 40%
89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 10%
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