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An Expert System Based on Spatial Data Mining Used Decision Tree for Agriculture Land Grading

机译:基于空间数据挖掘的决策树专家系统

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This paper introduces spatial data mining technique especially decision tree algorithm applying to agriculture land grading. The idea is to combine spatial data mining/decision tree techniques with expert system techniques and apply them to establish an intelligent agriculture land grading information system. The author adopt decision tree c4.5 algorithm and implement with Mo2.0 and VC++6.0 to build agriculture land grading expert system. Also, an experiment is presented to show the particular advantages of this methodology in addressing problems in land grading such as missing land information, difficulties in quantitative analysis of factors.
机译:本文介绍了空间数据挖掘技术,尤其是决策树算法在农业土地定级中的应用。这个想法是将空间数据挖掘/决策树技术与专家系统技术相结合,并将其应用到建立智能农业土地定级信息系统中。作者采用决策树c4.5算法,并以Mo2.0和VC ++ 6.0实现,构建了农用地定级专家系统。此外,还进行了一项实验,以显示该方法在解决土地定级问题(例如缺少土地信息,因素定量分析方面的困难)方面的特殊优势。

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