决策树在耕地地力等级评价中的应用

Application of Decision Tree in Grade Evaluation of Arable Land Fertility

在介绍数据挖掘技术的基本概念、决策树方法的基础上,结合牡丹江市地力等级数据样本,采用决策树ID3分类算法建立了耕地地力等级决策树分级图。通过该分级图可以预测各地区耕地地力等级,为该领域的数据挖掘提供了合理的挖掘方式。

Based on introducing the concept of data mining technology and the decision tree method,combining Mudanjiang soil grade data sample,using decision tree ID3 classification algorithm,cultivated land fertility level decision-making tree grading figure was established.Through the classification figure could predict various areas cultivated land fertility level,provide the reasonable mining mode,and the effective analysis conclusion was gotten.