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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Organized: School of Computing, UUM CAS, Universiti Utara Malaysia
Uncontrolled Keywords:	Undersampling technique, fuzzy logic, imbalanced data
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	School of Computing
Depositing User:	Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited:	19 Jan 2015 07:13
Last Modified:	12 May 2016 00:44
URI:	https://repo.uum.edu.my/id/eprint/13093

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