| 基于决策树的我国农业数据挖掘分析 |
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| 作者单位： | 华中科技大学经济学院 |
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| 摘 要： | 决策树是用于分类的常用建模方法。首先对分类的概念和决策树方法分别进行了总体介绍,在此基础上对我国30个省市自治区的乡村劳动力、耕地面积以及农业总产值信息数据进行了挖掘分析,在运用决策树对数据进行分类过程中对连续数据采用聚类分析的方法进行离散化处理,从而避免了原始经验分类方法的主观性。最后,通过上述决策树分类方法,生成我国农业情况的决策树,获得相关空间分类规则,并对其进行分析说明。结果表明,决策树分类方法适合我国农业情况。
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| 关 键 词： | 分类规则 决策树 离散化 聚类分析 概念泛化 农业情况 |
Data Mining and Analysis of our Agriculture Based on the Decision Tree |
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| Authors: | GAO Yi-yang |
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| Abstract: | The decision tree is one of the common modeling methods to classify.Firstly,this paper introduced the concept of classification and the method of the decision tree.Then,this paper analyzed the data of rural labor,arable land area and the gross output value of agriculture about 30 cities of China based on the decision tree,and adopted clustering analysis method in separating continuous data during the process of data miming in order to avoid subjectivity comparing to the traditional classification methods.Finally,the decision tree of our agriculture was generated,the spatial classification rules were gained and the rules were analyzed. |
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| Keywords: | classification rule decision tree discretization clustering analysis generalizing idea agriculture |
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