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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Abstract
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 ID: | 7919 |
|---|---|
| Item Type: | Conference Item (Research - E1) |
| ISBN: | 978-0-7695-3563-0 |
| 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% |
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