Wang, L, Bao, Y, Lu, J and Yip, YJ 2008, A web-based visual spatial co-location patterns' mining prototype system (SCPMiner) , in: International Conference on Cyberworlds 2008, September 22-24, 2008, Hangzhou, China.

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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:	Conference or Workshop Item (Paper)
Additional Information:	Proceedings of the International Conference on Cyberworlds 2008, Hangzhou, China, September 22-24, 2008
Themes:	Media, Digital Technology and the Creative Economy
Schools:	Colleges and Schools > College of Science & Technology Strategic Leadership Team
Publisher:	IEEE
Refereed:	No
Depositing User:	Users 29196 not found.
Date Deposited:	14 Aug 2012 14:07
Last Modified:	17 Aug 2012 14:46
URI:	http://usir.salford.ac.uk/id/eprint/23116

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