Agarwood Oil Quality Classifier Using Machine Learning
Agarwood Oil is known as one of the most expensive and precious oils being traded. It is widely used in traditional ceremonies, and religious prayers. It’s quality plays an important role on the market price that it can be traded. This paper proposes on a proper classification method of the agarwood...
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ump-181422018-01-17T02:55:09Z http://umpir.ump.edu.my/id/eprint/18142/ Agarwood Oil Quality Classifier Using Machine Learning M. A., Abas N. S. A., Zubir N., Ismail N. A. M., Ali Mohd Hezri Fazalul, Rahiman Saiful Nizam, Tajuddin M. N., Taib Q Science (General) Agarwood Oil is known as one of the most expensive and precious oils being traded. It is widely used in traditional ceremonies, and religious prayers. It’s quality plays an important role on the market price that it can be traded. This paper proposes on a proper classification method of the agarwood oil quality using machine learning model k-nearest neighbour (k-NN). The chemical compounds of the agarwood oil from high and low quality are used to train and build the k-NN classifier model. Correlation-based feature selection was used to reduce the dimension of the data before it is being fed into the model. The results show a very high accuracy (100%) model trained and can be used to classify the agarwood oil quality accurately. 2017 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18142/1/Agarwood%20Oil%20Quality%20Classifier%20Using%20Machine%20Learning.pdf M. A., Abas and N. S. A., Zubir and N., Ismail and N. A. M., Ali and Mohd Hezri Fazalul, Rahiman and Saiful Nizam, Tajuddin and M. N., Taib (2017) Agarwood Oil Quality Classifier Using Machine Learning. In: International Symposium On Computational Intelligence And Application, Jul 14, 2017 - Jul 15, 2017 , Melaka, Malaysia. . (Unpublished) |
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English |
topic |
Q Science (General) |
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Q Science (General) M. A., Abas N. S. A., Zubir N., Ismail N. A. M., Ali Mohd Hezri Fazalul, Rahiman Saiful Nizam, Tajuddin M. N., Taib Agarwood Oil Quality Classifier Using Machine Learning |
description |
Agarwood Oil is known as one of the most expensive and precious oils being traded. It is widely used in traditional ceremonies, and religious prayers. It’s quality plays an important role on the market price that it can be traded. This paper proposes on a proper classification method of the agarwood oil quality using machine learning model k-nearest neighbour (k-NN). The chemical compounds of the agarwood oil from high and low quality are used to train and build the k-NN classifier model. Correlation-based feature selection was used to reduce the dimension of the data before it is being fed into the model. The results show a very high accuracy (100%) model trained and can be used to classify the agarwood oil quality accurately. |
format |
Conference or Workshop Item |
author |
M. A., Abas N. S. A., Zubir N., Ismail N. A. M., Ali Mohd Hezri Fazalul, Rahiman Saiful Nizam, Tajuddin M. N., Taib |
author_facet |
M. A., Abas N. S. A., Zubir N., Ismail N. A. M., Ali Mohd Hezri Fazalul, Rahiman Saiful Nizam, Tajuddin M. N., Taib |
author_sort |
M. A., Abas |
title |
Agarwood Oil Quality Classifier Using Machine Learning |
title_short |
Agarwood Oil Quality Classifier Using Machine Learning |
title_full |
Agarwood Oil Quality Classifier Using Machine Learning |
title_fullStr |
Agarwood Oil Quality Classifier Using Machine Learning |
title_full_unstemmed |
Agarwood Oil Quality Classifier Using Machine Learning |
title_sort |
agarwood oil quality classifier using machine learning |
publishDate |
2017 |
url |
http://umpir.ump.edu.my/id/eprint/18142/ http://umpir.ump.edu.my/id/eprint/18142/1/Agarwood%20Oil%20Quality%20Classifier%20Using%20Machine%20Learning.pdf |
first_indexed |
2023-09-18T22:25:31Z |
last_indexed |
2023-09-18T22:25:31Z |
_version_ |
1777415939714711552 |