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...

Full description

Bibliographic Details
Main Authors: Zorkeflee, Maisarah, Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/13093/1/PID307%20-%20maisarah.pdf
_version_ 1825803120691642368
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
work_keys_str_mv AT zorkefleemaisarah aconceptualmodelofenhancedundersamplingtechnique
AT kumahamudkuruhana aconceptualmodelofenhancedundersamplingtechnique
AT mohameddinaniza aconceptualmodelofenhancedundersamplingtechnique
AT zorkefleemaisarah conceptualmodelofenhancedundersamplingtechnique
AT kumahamudkuruhana conceptualmodelofenhancedundersamplingtechnique
AT mohameddinaniza conceptualmodelofenhancedundersamplingtechnique