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...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/13093/1/PID307%20-%20maisarah.pdf http://repo.uum.edu.my/13093/ http://www.kmice.cms.net.my/ |
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| Institution: | Universiti Utara Malaysia |
| Language: | English |
| Summary: | 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. |
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