Voronoi representation for areal data processing in data-rich environments
Breitkreutz, David, and Lee, Ickjai (2009) Voronoi representation for areal data processing in data-rich environments. In: Proceedings of IEEE International Conference on Intelligence and Security Informatics (ISI-2009). pp. 167-169. From: IEEE International Conference on Intelligence and Security Informatics 2009, 8 -11 June 2009, Dallas, Texas, USA.
![[img]](https://researchonline.jcu.edu.au/style/images/fileicons/application_pdf.png) |
PDF (Published Version)
Restricted to Repository staff only |
Abstract
Privacy and data explosion issues are major concerns in intelligence and security informatics. An areal data representation is a popular way to overcome these two issues. As data grows at an unprecedented rate, there still needs an improvement in area data representations to be more scalable. This paper determines the potential for an alternative areal representation that can offer performance benefits over traditional methods for use within data-rich environments. From the experiments performed, improvements are promising, especially within time-critical applications that need to consider large amounts of data quickly.
| Item ID: | 7900 |
|---|---|
| Item Type: | Conference Item (Research - E1) |
| ISBN: | 978-1-4244-4172-3 |
| Keywords: | Voronoi diagram, areal decomposition, GIS |
| Related URLs: | |
| Date Deposited: | 22 Apr 2010 05:57 |
| FoR Codes: | 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 30% 09 ENGINEERING > 0909 Geomatic Engineering > 090903 Geospatial Information Systems @ 70% |
| SEO Codes: | 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 100% |
| Downloads: |
Total: 8 |
| More Statistics |
Actions (Repository Staff Only)
 |
Item Control Page |