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。
Based on the discuss of the basic concept of data mining technology and the decision tree method,combining with the data samples of wind and hailstorm disasters in some counties of Mudanjiang region,the forecasting model of agro-meteorological disaster grade was established by adopting the C4.5 classification algorithm of decision tree,which can forecast the direct economic loss degree to provide rational data mining model and obtain effective analysis results.
基金
Supported by Science and Technology Plan of Mudanjiang City (G200920064)
Teaching Reform Construction of Mudanjiang Normal University (10-xj11080)
关键词
数据挖掘
农业气象
决策树
C4.5算法
分类挖掘
Data mining
Agro-meteorology
Decision tree
C4.5 algorithm
Classification mining
China
