JOURNAL ARTICLE

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

Abstract

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,SO 2 ,NO 2 ,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.

Keywords:
Computer science Decision tree Decision tree learning Tree (set theory) Quality (philosophy) Algorithm Data mining Mathematics

Metrics

3
Cited By
0.23
FWCI (Field Weighted Citation Impact)
6
Refs
0.59
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Stream Mining Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Air Quality Monitoring and Forecasting
Physical Sciences →  Environmental Science →  Environmental Engineering
Forecasting Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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