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基于决策树的农业气象灾害等级预测模型
引用本文:司巧梅.基于决策树的农业气象灾害等级预测模型[J].安徽农业科学,2010,38(9):4925-4927.
作者姓名:司巧梅
作者单位:牡丹江师范学院计算机科学与技术系,黑龙江牡丹江,157012
基金项目:牡丹江市科学技术计划项目(G200920064);;牡丹江师范学院教改建设项目(10-XJ11080)
摘    要:在讨论数据挖掘技术的基本概念、决策树方法的基础上,结合牡丹江地区部分县区风雹灾害数据样本,采用决策树C4.5分类算法,建立了农业气象灾害等级决策树预测模型。通过该预测模型可预测各地直接经济损失程度,为该领域的数据挖掘提供了合理的挖掘模式,并得出了有效的分析结论。

关 键 词:数据挖掘  农业气象  决策树  C4.5算法  分类挖掘

Agricultural Meteorological Disaster Grade Forecasting Model Based on Decision Tree
SI Qiao-mei.Agricultural Meteorological Disaster Grade Forecasting Model Based on Decision Tree[J].Journal of Anhui Agricultural Sciences,2010,38(9):4925-4927.
Authors:SI Qiao-mei
Institution:Department of Computer Science and Technology;Mudanjiang Normal University;Mudanjiang;Heilongjiang 157012
Abstract:Based on discussing the basic concept of data mining technique and decision tree method,combining with hailstorm disasters data in some areas of Mudanjiang region,using decision tree C4.5 algorithm,agricultural meteorological disaster grade decision tree forecasting model was established. Through the prediction model,direct economic loss was forecasted,which will provide rational mining model in the field.
Keywords:Data mining  Agricultural meteorology  Decision tree  C4  5 algorithm  Classification data mining  
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