Application of Decision Tree C4.5 Algorithm in Air Quality Evaluation

被引：0

作者：

Hu, Nan ^{[1
]}

Li, Qing ^{[1
]}

机构：

[1] Wuhan Univ Technol, Minist Educ, Sch Informat Engn, Key Lab Fiber Opt Sensing Technol & Informat Proc, Wuhan, Hubei, Peoples R China

来源：

PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING (AMCCE 2017) | 2017年 / 118卷

关键词：

C4.5 decision tree; air quality; classification prediction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Air pollution has a significant impact on human production and life, the prediction of air quality's level is conducive to the relevant departments to take appropriate measures. This paper selects six basic pollutants PM10, PM2.5, SO2, NO2, CO and O-3, which are stipulated in the "Ambient Air Quality Standard" (GB3905-2012) issued by China in 2012. Based on the data of air pollutant concentration in Wuhan in October, 2016, a prediction model of air quality grade based on C4.5 decision tree algorithm was established. The experimental results show that the proposed algorithm has an ideal classification prediction effect.

引用

页码：1095 / 1099

页数：5

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