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《Science of Surveying and Mapping》 2009-02
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A spatial association rules mining application in the second chinese agriculture general investigation

ZHANG Yan-li(Geography & environment science college,Northwest Normal University, Lanzhou 730070, China)  
Spatial association rule mining is a process, including data selection, data preprocessing, data transformation, data mining algorithm implementation and interpretation model and assessment. Currently, the focus of the study related is to all kinds of algorithms implemented of the spatial association rule mining, but the other steps research is relatively small, such as integrated disposal to several fields, discrete and etc. At the same time, the agricultural census data especially the second national agricultural census data cover abundant "three-dimensional rural issues" information, which is like precious deposits, and expect people to use all kinds of technology to develop and utilize. Spatial association rule mining is undoubtedly the most ideal tool to mine agricultural census data treasures. This paper introduces firstly the spatial mining association rules to China's agricultural census, and describes in detail the process and the steps to address the key technical approach. Finally, it draws some Gansup rovince community most interested knowledge, and provides decision-making basis for Gansup rovince solve "three-dimensional rural issues".
【Fund】: 2007年度学校青年教师科研基金项目(NWNU-QN-07-49)
【CateGory Index】: P208
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