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

DOI

10.2991/amcce-17.2017.197How to use a DOI?

Keywords

C4.5 decision tree; air quality; classification prediction

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,SO2,NO2,CO and O3, 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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nan Hu
AU  - Qing Li
PY  - 2017/03
DA  - 2017/03
TI  - Application of Decision Tree C4.5 Algorithm in Air Quality Evaluation
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 1095
EP  - 1099
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.197
DO  - 10.2991/amcce-17.2017.197
ID  - Hu2017/03
ER  -