郑州轻工业学院学报（自然科学版）2012，Vol.27Issue(3)：49-52,4.
基于信息熵的决策树挖掘算法在智能电力营销中的应用
Application of decision tree mining algorithms based on information entropy in the intelligent electric power marketing
摘要
Abstract
Aiming at the problem that the current electric power marketing management system was lack of effective marketing data for decision support, the decision tree mining algorithm was applied in electric power marketing based on the information entropy,and the power customer classification model was established. Practical application results indicated that the classfication model had better predictive classification ability, and was able to meet the needs of customers' timely and accurate classification in electric power marketing.关键词
信息熵/决策树/数据挖掘/电力营销Key words
information entropy/decision tree/data mining/electric power marketing分类
动力与电气工程引用本文复制引用
戴小廷,陈荣思,肖冰..基于信息熵的决策树挖掘算法在智能电力营销中的应用[J].郑州轻工业学院学报（自然科学版）,2012,27(3):49-52,4.基金项目
福建工程学院2011年度科研发展预研基金(GY-Z11077) （GY-Z11077）
