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Wang, Lizhen, Bao, Yuzhen, Lu, Joan and Yip, Yau Jim (2008) A Web-Based Visual Spatial Co-Location Patterns' Mining Prototype System (SCPMiner). In: Proceedings of the International Conference on Cyberworlds 2008. IEEE, pp. 675-681. ISBN 9780769533810
Metadata only available from this repository.Abstract
Visual spatial data mining is an effective way to discover knowledge from huge amounts of spatial data. The systematic study and development of visual spatial data mining techniques will facilitate the promotion and use of spatial data mining as a tool for spatial data analysis. This paper introduces a Web-based visual spatial co-location patterns' mining prototype system (SCPMiner). In SCPMiner, there not only are data management function and four co-location mining methods, but also co-location mining methods analysis and co-location mining applications.
| Item Type: | Book Chapter |
|---|---|
| Additional Information: | Proceedings of the International Conference on Cyberworlds 2008, Hangzhou, China, September 22-24, 2008 |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Schools: | School of Computing and Engineering School of Computing and Engineering > Diagnostic Engineering Research Centre School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group School of Computing and Engineering > Informatics Research Group School of Computing and Engineering > Informatics Research Group > Software Engineering Research Group School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group |
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| Depositing User: | Cherry Edmunds |
| Date Deposited: | 07 May 2009 16:57 |
| Last Modified: | 20 Jul 2011 11:47 |
| URI: | http://eprints.hud.ac.uk/id/eprint/4245 |
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