L Wang
A web-based visual spatial co-location patterns' mining prototype system (SCPMiner)
Wang, L; Bao, Y; Lu, J; Yip, YJ
Authors
Y Bao
J Lu
YJ Yip
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.
Citation
Wang, L., Bao, Y., Lu, J., & Yip, Y. (2008, September). A web-based visual spatial co-location patterns' mining prototype system (SCPMiner). Presented at International Conference on Cyberworlds 2008, Hangzhou, China
Presentation Conference Type | Other |
---|---|
Conference Name | International Conference on Cyberworlds 2008 |
Conference Location | Hangzhou, China |
Start Date | Sep 22, 2008 |
End Date | Sep 24, 2008 |
Publication Date | Sep 1, 2008 |
Deposit Date | Aug 14, 2012 |
Publisher URL | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4741376 |
Additional Information | Additional Information : Proceedings of the International Conference on Cyberworlds 2008, Hangzhou, China, September 22-24, 2008 Event Type : Conference |
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search