期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：1Ver 2
出版社：Ayushmaan Technologies
摘要：Data mining models show great efficiency on acquiring knowledge for expert system classification. This study aimed at mining knowledge contained in landscape, from multi-scale spatial data using decision tree learning model and evaluating the classification. Classification and prediction are the two forms of data analysis. Here all the techniques of classification, are applied on spatial data base, is discussed. Spatial data base store information relative to spatial locations and support efficient storage, indexing and querying of spatial data. Firstly, spatial data containing remote sensing images of different spatial and spectrum resolutions, digital elevation models and geographical information data with different scales were combined together to make up a spatial data infrastructure. Secondly, field samples data is acquired as the reference and the related spatial data was extracted. Thirdly the expert rules needs to be developed by decision tree models, and then the rule base was used in a knowledge classifier. Finally information provided by multi-level spatial data would influence the decision tree learning by using enhanced classifier
关键词：Spatial Data Base System; Map Image; Decision Tree; Na.ve Classification
