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 9780769533810Metadata only available from this repository.
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 > High-Performance Intelligent Computing
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School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
|Depositing User:||Cherry Edmunds|
|Date Deposited:||07 May 2009 16:57|
|Last Modified:||20 Jul 2011 11:47|
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