DocumentCode :
2293171
Title :
A Web-Based Visual Spatial Co-Location Patterns´ Mining Prototype System (SCPMiner)
Author :
Wang, Lizhen ; Yuzhen Bao ; Joan Lu ; Yip, Jim
fYear :
2008
fDate :
22-24 Sept. 2008
Firstpage :
675
Lastpage :
681
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.
Keywords :
Internet; data analysis; data mining; visual databases; Web-based visual spatial data mining; co-location pattern mining prototype system; data management function; spatial data analysis; spatial data mining; Computer science; Data analysis; Data engineering; Data mining; Data visualization; Design engineering; Information analysis; Knowledge engineering; Prototypes; User interfaces; Prototype system; SCPMiner; Spatial co-location mining; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyberworlds, 2008 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-3381-0
Type :
conf
DOI :
10.1109/CW.2008.84
Filename :
4741376
Link To Document :
بازگشت