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Proceedings Paper

Association rules mining and expressing in census data based on geo-visualization
Author(s): Jing Cui; Yingjie Wang; Zhuoyuan Yu
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Paper Abstract

With the integration of geo-visualization theory and data mining technology, this paper uses geo-visualization assisted association mining method to discover, extract and express the potential spatial distribution relations among census data and other related socio-economic statistical data by using data mining technology. The paper accomplishes the association rules for mining process based a newly constructed knowledge database framework, and the knowledge based geo-visualization method for further researches and decision making.

Paper Details

Date Published: 26 July 2007
PDF: 11 pages
Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67530K (26 July 2007); doi: 10.1117/12.761827
Show Author Affiliations
Jing Cui, Institute of Geographical Sciences and Natural Resources Research (China)
Yingjie Wang, Institute of Geographical Sciences and Natural Resources Research (China)
Zhuoyuan Yu, Institute of Geographical Sciences and Natural Resources Research (China)


Published in SPIE Proceedings Vol. 6753:
Geoinformatics 2007: Geospatial Information Science

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