摘要
分析了决策树分类算法中的ID3算法和C4.5算法,在论述分类挖掘的基础上分析了决策树分类挖掘系统的建立思想、步骤及算法,并把这两种算法应用到优化农业气象灾害统计的实验中,研究了决策树算法在气象灾害导致的直接经济损失评估中的应用,实验结果证明了该方法的可行性。
ID3 algorithm and C4.5 algorithm are analyzed in this paper. The basic concept of classification date mining is firstly discussed, then the ideas, steps and algorithms for establishing classification mining system on the dicision tree are analyzed and the feasibility of technique is proved when classification mining system is applied to the experiment of optimizing the statistic of meteorological hazards of agriculture.
出处
《农机化研究》
北大核心
2009年第7期200-203,共4页
Journal of Agricultural Mechanization Research
基金
江苏省高校高新技术产业发展项目(JHB05-17)
关键词
农业气象
决策树
ID3算法
C4.5算法
分类挖掘
agricultural weather
decision tree
ID3 algorithm
C4.5 algorithm
classification data mining
