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《Science of Surveying and Mapping》 2007-01
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Study on spatial data classification based on integration between GIS and spatial data mining

JIA Ze-lu ①,ZHANG Tong ②(①School of Geology and Environment Engineering,Central South University,Changsha 410083;②Department of Geography San Diego State University 5500 Campanile Drive San Diego,CA 92182-4493)  
A brief introduction of GIS and spatial data mining as well as their integration are proposed.Then a spatial data mining prototype system used to classify spatial data based on Visual C++ 6.0 and MapObject2.0 are designed and developed,which use Decision Tree and Bayesian Networks as its basic algorithm to realize spatial data mining,and integrate training and learning to classify spatial data.Some test has been done to verify the capability of the system and the validity of these algorithms and rules.The result indicates that this prototype system is a practical and extensible Visual Interactive Spatial Data Mining tool.It can realize the interactive control of data mining dynamically and real-timely.At the same time,the process,models and result of data mining are displayed,thought and analyzed as well as evaluated visually.
【Fund】: 国家自然科学基金项目(40271088);; 教育部留学人员回国基金资助项目(152174);; 中南大学文理科学研究基金项目(0601057)
【CateGory Index】: P208
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