Multivarite areal aggregated crime analysis through cross correlation
Phillips, Peter, and Lee, Ickjai (2009) Multivarite areal aggregated crime analysis through cross correlation. Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application (IITA) . 2008 Second International Symposium on Intelligent Information Technology Application (IITA) , 21-22 December 2008, Shanghai, China , pp. 295-298.
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Intelligent crime analysis allows for a greater understanding of the dynamics of unlawful activities. Discovering crime and spatial features that exhibit strong correlation allows a deeper insight into the complex question of crime analysis. To effectively search heterogeneous data types for cross correlation, a spatial multivariate association measure can be used. We demonstrate a bivariate spatial association approach for crime analysis that can be extended to extract multivarite cross correlation. It is able to extract the top-k and bottom-k associative features from areal aggregated datasets. Experimental results demonstrate our approach using real crime datasets.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Keywords:||correlation analysis, geospatial data mining, crime analysis|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 50%|
09 ENGINEERING > 0909 Geomatic Engineering > 090903 Geospatial Information Systems @ 50%
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 100%|
|Deposited On:||15 Jan 2010 11:41|
|Last Modified:||19 May 2013 01:02|
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