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

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.