Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue
This paper evaluates the performance of parametric and non-parametric classification rules in sensor technology.The growing of sensor technologies, e-nose and e-tongue, has urged engineers to equip themselves with the utmost recent and advanced statistical approaches.As data collected from e-nose an...
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my.uum.repo.167962016-04-27T06:28:49Z http://repo.uum.edu.my/16796/ Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue Mahat, Nor Idayu Zakaria, Ammar Md Shakaff, Ali Yeon QA75 Electronic computers. Computer science This paper evaluates the performance of parametric and non-parametric classification rules in sensor technology.The growing of sensor technologies, e-nose and e-tongue, has urged engineers to equip themselves with the utmost recent and advanced statistical approaches.As data collected from e-nose and e-tongue face some complexities, often data pre-processing and transformation are performed prior to the classification.This paper discusses the comparisons made on some known parametric and non-parametric classification rules in the application for classifying data of e-nose and e-tongue.The comparisons which based on leave-one-out accuracy, sensitivity and specificity shows that non-parametric approaches especially k-nearest neighbour does not much distorted with changes of distribution, but Naïve Bayes is greatly influenced by the structure of the data. 2015-09-29 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/16796/1/2.pdf Mahat, Nor Idayu and Zakaria, Ammar and Md Shakaff, Ali Yeon (2015) Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue. In: 2nd Innovation and Analytics Conference & Exhibition (IACE 2015), 29 September –1 October 2015, TH Hotel, Alor Setar, Kedah, Malaysia. http://doi.org/10.1063/1.4937017 doi:10.1063/1.4937017 |
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QA75 Electronic computers. Computer science Mahat, Nor Idayu Zakaria, Ammar Md Shakaff, Ali Yeon Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue |
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This paper evaluates the performance of parametric and non-parametric classification rules in sensor technology.The growing of sensor technologies, e-nose and e-tongue, has urged engineers to equip themselves with the utmost recent and advanced statistical approaches.As data collected from e-nose and e-tongue face some complexities, often data pre-processing and transformation are performed prior to the classification.This paper discusses the comparisons made on some known parametric and non-parametric classification rules in the application for classifying data of e-nose and e-tongue.The comparisons which based on leave-one-out accuracy, sensitivity and specificity shows that non-parametric approaches especially k-nearest neighbour does not much distorted with changes of distribution, but Naïve Bayes is greatly influenced by the structure of the data. |
format |
Conference or Workshop Item |
author |
Mahat, Nor Idayu Zakaria, Ammar Md Shakaff, Ali Yeon |
author_facet |
Mahat, Nor Idayu Zakaria, Ammar Md Shakaff, Ali Yeon |
author_sort |
Mahat, Nor Idayu |
title |
Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue |
title_short |
Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue |
title_full |
Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue |
title_fullStr |
Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue |
title_full_unstemmed |
Comparisons of parametric and non-parametric classification rules for e-nose and e-tongue |
title_sort |
comparisons of parametric and non-parametric classification rules for e-nose and e-tongue |
publishDate |
2015 |
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http://repo.uum.edu.my/16796/1/2.pdf http://repo.uum.edu.my/16796/ http://doi.org/10.1063/1.4937017 |
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1644282061441204224 |
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13.18916 |