Mining positive associations of urban criminal activities using hierarchical crime hot spots

Phillips, Peter, and Lee, Ickjai (2006) Mining positive associations of urban criminal activities using hierarchical crime hot spots. In: Proceedings of the Intelligence and Security Informatics International Workshop, WISI 2006 (3917), pp. 127-132. From: WISI 2006 Intelligence and Security Informatics International Workshop, 9 April 2006, Singapore.

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Abstract

We present a framework for discovering positive associations in urban crime datasets using hierarchical clustering and an association test based on a hybrid minimum bounding circle and average bounding circle approach. We justify the virtue of our framework by comparing its computational speed and quality of associations using real crime datasets.

Item ID: 4347
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: mining associations; crime data mining; urban crime analysis
ISBN: 978-3-540-33361-6
ISSN: 1611-3349
Date Deposited: 18 Nov 2009 23:56
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890299 Computer Software and Services not elsewhere classified @ 60%
89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 40%
Citation Count from Web of Science Web of Science 2
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