A Web-Based Visual Spatial Co-Location Patterns' Mining Prototype System (SCPMiner)

Lizhen Wang, Yuzhen Bao, Joan Lu, Jim Yip

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2008 International Conference on Cyberworlds, CW 2008, Proceedings
PublisherIEEE Computer Society
Pages675-681
Number of pages7
ISBN (Print)9780769533810
DOIs
Publication statusPublished - 24 Sep 2008
Event2008 International Conference on Cyberworlds - Hangzhou, China
Duration: 22 Sep 200824 Sep 2008

Conference

Conference2008 International Conference on Cyberworlds
Abbreviated titleCW 2008
CountryChina
CityHangzhou
Period22/09/0824/09/08

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