Specialization of China large-scale exchange market based on constrained co-local spatial association rule

Xuewu Zhang; Yunyan Du; Fenzhen Su; Wei Wen

doi:10.1117/12.813143

10 November 2008 Specialization of China large-scale exchange market based on constrained co-local spatial association rule

Xuewu Zhang, Yunyan Du, Fenzhen Su, Wei Wen

Author Affiliations +

Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 71461G (2008) https://doi.org/10.1117/12.813143
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

With quick development of economy, spatial distribution and specialization level of China large scale commodity exchange markets whose turnover are more than 100 million Yuan, have changed greatly. And influencing factors which distribute in the research region have attribute information and spatial information and do not satisfy statistical independence. Commodity exchange market specialization index is brought forward to measure specialization degree, based on the former research and constrained co-local spatial association rule is used to analyze symbiotic pattern between specialization level and influencing factors. Constrained predicate templates and association rule templates can improve mining efficiency greatly. As the result shown, large scale commodity exchange market specialization level on country-region spatial scale went down from 2000 to 2005 and rose at 2006. The interesting association rules extracted based on defined minimum support and confident can provide officers of region governments with rational advices on large scale commodity exchange markets planning and construction.

Citation Download Citation

Xuewu Zhang, Yunyan Du, Fenzhen Su, and Wei Wen "Specialization of China large-scale exchange market based on constrained co-local spatial association rule", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71461G (10 November 2008); https://doi.org/10.1117/12.813143

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