决策树分类算法的研究及其在电力营销中的应用  

Research on Decision Tree Classification Algorithm and Its Application in Power Marketing

作　　者：金诗琦 夏江南 JIN Shiqi;XIA Jiangnan

机构地区：[1]国网京山市供电公司,湖北荆门431800

出　　处：《电力系统装备》2023年第11期142-144,共3页Electric Power System Equipment

摘　　要：在市场经济发展中,电力需求越来越大,电力企业发展速度加快,需要对运行数据深度挖掘,使用决策树分类算法对数据深度分析,可为电力企业管理层提供有效的决策支持。文章通过对决策树分类算法进行研究,明确了决策树分类算法在电力营销中的应用过程,结合试验结果与分析,充分说明决策树分类算法在电力营销中有着重要价值,为电力营销工作提供了参考。In the development of market economy,the demand for electricity is increasing,the development speed of electric power enterprises is faster,and it is more necessary to dig the operational data deeply.The decision tree classification algorithm is proposed to analyze the data deeply,so as to provide effective decision support for the management of electric power enterprises.This paper expounds the decision tree classification algorithm,and clarifies the application process of decision tree classification algorithm in power marketing.Combined with the experimental results and analysis,it fully demonstrates the important value of decision tree classification algorithm in power marketing,and provides a reference for power marketing.

关 键 词：决策树分类算法 电力营销 数据挖掘 信息熵 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] F426.61[自动化与计算机技术—计算机科学与技术]