A conceptual model of enhanced undersampling technique
Imbalanced datasets often lead to decrement of classifiers’ performance.Undersampling technique is one of the approaches that is used when dealing with imbalanced datasets problem.This paper discusses on the advantages and disadvantages of several undersampling techniques.An enhanced Distancebas...
Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
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2014
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Online Access: | https://repo.uum.edu.my/id/eprint/13093/1/PID307%20-%20maisarah.pdf |
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author | Zorkeflee, Maisarah Ku-Mahamud, Ku Ruhana Mohamed Din, Aniza |
author_facet | Zorkeflee, Maisarah Ku-Mahamud, Ku Ruhana Mohamed Din, Aniza |
author_sort | Zorkeflee, Maisarah |
collection | UUM |
description | Imbalanced datasets often lead to decrement of classifiers’ performance.Undersampling technique is
one of the approaches that is used when dealing with
imbalanced datasets problem.This paper discusses on
the advantages and disadvantages of several
undersampling techniques.An enhanced Distancebased
undersampling technique is proposed to balance the imbalanced data that will be used for classification. The fuzzy logic has been integrated in the distance-based undersampling technique to resolve the ambiguity and bias issues. |
first_indexed | 2024-07-04T05:51:40Z |
format | Conference or Workshop Item |
id | uum-13093 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T05:51:40Z |
publishDate | 2014 |
record_format | eprints |
spelling | uum-130932016-05-12T00:44:21Z https://repo.uum.edu.my/id/eprint/13093/ A conceptual model of enhanced undersampling technique Zorkeflee, Maisarah Ku-Mahamud, Ku Ruhana Mohamed Din, Aniza QA76 Computer software Imbalanced datasets often lead to decrement of classifiers’ performance.Undersampling technique is one of the approaches that is used when dealing with imbalanced datasets problem.This paper discusses on the advantages and disadvantages of several undersampling techniques.An enhanced Distancebased undersampling technique is proposed to balance the imbalanced data that will be used for classification. The fuzzy logic has been integrated in the distance-based undersampling technique to resolve the ambiguity and bias issues. 2014-08-12 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/13093/1/PID307%20-%20maisarah.pdf Zorkeflee, Maisarah and Ku-Mahamud, Ku Ruhana and Mohamed Din, Aniza (2014) A conceptual model of enhanced undersampling technique. In: Knowledge Management International Conference 2014 (KMICe2014), 12-15 August 2014, Langkawi, Malaysia. http://www.kmice.cms.net.my/ |
spellingShingle | QA76 Computer software Zorkeflee, Maisarah Ku-Mahamud, Ku Ruhana Mohamed Din, Aniza A conceptual model of enhanced undersampling technique |
title | A conceptual model of enhanced undersampling technique |
title_full | A conceptual model of enhanced undersampling technique |
title_fullStr | A conceptual model of enhanced undersampling technique |
title_full_unstemmed | A conceptual model of enhanced undersampling technique |
title_short | A conceptual model of enhanced undersampling technique |
title_sort | conceptual model of enhanced undersampling technique |
topic | QA76 Computer software |
url | https://repo.uum.edu.my/id/eprint/13093/1/PID307%20-%20maisarah.pdf |
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