基于C4.5数据挖掘算法研究与实现  

Research and implementation of data mining algorithm based on C4.5

作　　者：蒲海坤 高鑫 桑鑫 

机构地区：[1]西京学院信息工程学院,陕西西安710123

出　　处：《科学技术创新》2021年第23期55-56,共2页Scientific and Technological Innovation

摘　　要：经典的C4.5算法的出现,即是对ID3算法的改进,它在ID3算法的基础上进行数据的处理分析,保留了ID3算法的大多优点,而且在预测变量的处理分析技术方面都有了很大的进步,这种算法的出现可以解决决策树数集分类问题。本文在对决策树算法进行钻研,在天气数据集上,编写代码并利用ID3算法和C4.5算法生成决策树,并对树的模型进行分析。从结果来看,采用C4.5算法构建的决策树具有较高的数据准确率,更接近实际情况。The emergence of classic C4.5 algorithm is the improvement of ID3 algorithm.It processes and analyzes the data based on ID3 algorithm,which retains most advantages of ID3 algorithm,and has made great progress in the processing and analysis technology of prediction variables.The emergence of this algorithm can solve the classification of decision tree set.This paper studies the decision tree algorithm,In the weather data set,the code is written and the decision tree is generated by ID3 algorithm and C4.5 algorithm.The model of the tree is analyzed.From the result,the decision tree constructed by C4.5 algorithm has a high data accuracy and is closer to the actual situation.

关 键 词：数据挖掘 数据处理 决策树 C4.5 ID3 预测变量 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]