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Proceedings Paper

A framework for uncertain spatial data mining and its application to environmental geochemistry quality assessment
Author(s): Cui-hua Chen; Bin-bin He; Shi-jun Ni
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Paper Abstract

A framework for uncertain spatial data mining was proposed. In which, the uncertainties of spatial data themselves and spatial data mining are emphatically dealt with, including uncertainty simulation by Monte Carlo method, spatial autocorrelation matrix based on uncertain spatial data, discretization based on neighborhood EM algorithms, and quality assessment of results. Meanwhile, the experiments of environmental geochemistry quality assessment with uncertain and spatial data mining have been performed using the environmental geochemistry data gotten from Dexing, Jiangxi province in China.

Paper Details

Date Published: 2 December 2005
PDF: 10 pages
Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60450T (2 December 2005); doi: 10.1117/12.650381
Show Author Affiliations
Cui-hua Chen, Chengdu Univ of Technology (China)
Bin-bin He, Univ. of Electronic Science and Technology of China (China)
Shi-jun Ni, Chengdu Univ. of Technology (China)


Published in SPIE Proceedings Vol. 6045:
MIPPR 2005: Geospatial Information, Data Mining, and Applications
Jianya Gong; Qing Zhu; Yaolin Liu; Shuliang Wang, Editor(s)

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