Multivarite areal aggregated crime analysis through cross correlation
Phillips, Peter, and Lee, Ickjai (2009) Multivarite areal aggregated crime analysis through cross correlation. In: Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application (IITA) (2), pp. 295-298. From: 2008 Second International Symposium on Intelligent Information Technology Application (IITA) , 21-22 December 2008, Shanghai, China.
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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|
|Date Deposited:||15 Jan 2010 01:41|
|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%|
|Citation Count from Web of Science||