Air quality classification in Thailand based on decision tree

Author

Kujaroentavon, Kattariya ; Kiattisin, Supapom ; Leelasantitham, Adisom ; Thammaboosadee, Sotarat

Author_Institution

Inf. Technol. Manage., Mahidol Univ., Nakhon Pathom, Thailand

fYear

2014

fDate

26-28 Nov. 2014

Firstpage

1

Lastpage

5

Abstract

The paper presents a model for management classifier air quality by algorithm of decision tree using air quality index in Thailand including a pollutant´s concentration e.g. O₃, NO₂, CO, SO₂, PM₁₀ and levels of healthy concern. The purpose of this research is to establish rules of separated air quality classification by levels of healthy concern. The results of this study are correctly classified into instances of training set of 96.80% and testing set of 91.07%. The ROC curve shows that the training set data and testing set data are similar to such results. The algorithm of decision tree can use to become rules of separated air quality classification by levels of healthy concern.

Keywords

air pollution; air quality; atmospheric techniques; carbon compounds; decision trees; geophysics computing; nitrogen compounds; ozone; sulphur compounds; CO; NO₂; O₃; PM₁₀; SO₂; Thailand; air quality classification; air quality index; decision tree algorithm; healthy concern level; management classifier; pollutant concentration; Data mining; Decision trees; Indexes; Nitrogen; Pediatrics; Uniform resource locators; Classification; Decision Tree; Levels of Healthy Concern; Model; air quality;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering International Conference (BMEiCON), 2014 7th

Conference_Location

Fukuoka

Type

conf

DOI

10.1109/BMEiCON.2014.7017436

Filename

7017436