Air quality classification in Thailand based on decision tree
© 2014 IEEE. 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, PM10and levels of healthy concern. The purpose of this research is to establish rules of s...
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th-mahidol.359232018-11-23T17:06:56Z Air quality classification in Thailand based on decision tree Kattariya Kujaroentavon Supapom Kiattisin Adisom Leelasantitham Sotarat Thammaboosadee Mahidol University Engineering © 2014 IEEE. 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, PM10and 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. 2018-11-23T10:06:56Z 2018-11-23T10:06:56Z 2015-01-01 Conference Paper BMEiCON 2014 - 7th Biomedical Engineering International Conference. (2015) 10.1109/BMEiCON.2014.7017436 2-s2.0-84923059727 https://repository.li.mahidol.ac.th/handle/123456789/35923 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84923059727&origin=inward |
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Engineering Kattariya Kujaroentavon Supapom Kiattisin Adisom Leelasantitham Sotarat Thammaboosadee Air quality classification in Thailand based on decision tree |
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© 2014 IEEE. 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, PM10and 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. |
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Mahidol University |
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Mahidol University Kattariya Kujaroentavon Supapom Kiattisin Adisom Leelasantitham Sotarat Thammaboosadee |
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Conference or Workshop Item |
author |
Kattariya Kujaroentavon Supapom Kiattisin Adisom Leelasantitham Sotarat Thammaboosadee |
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Kattariya Kujaroentavon |
title |
Air quality classification in Thailand based on decision tree |
title_short |
Air quality classification in Thailand based on decision tree |
title_full |
Air quality classification in Thailand based on decision tree |
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Air quality classification in Thailand based on decision tree |
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Air quality classification in Thailand based on decision tree |
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air quality classification in thailand based on decision tree |
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2018 |
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https://repository.li.mahidol.ac.th/handle/123456789/35923 |
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1763490110867767296 |