Association rules mining and expressing in census data based on geo-visualization

Jing Cui; Yingjie Wang; Zhuoyuan Yu

doi:10.1117/12.761827

26 July 2007 Association rules mining and expressing in census data based on geo-visualization

Jing Cui, Yingjie Wang, Zhuoyuan Yu

Proceedings Volume 6753, Geoinformatics 2007: Geospatial Information Science; 67530K (2007) https://doi.org/10.1117/12.761827
Event: Geoinformatics 2007, 2007, Nanjing, China

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.

Citation Download Citation

Jing Cui, Yingjie Wang, and Zhuoyuan Yu "Association rules mining and expressing in census data based on geo-visualization", Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67530K (26 July 2007); https://doi.org/10.1117/12.761827

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