SMOTE-LOF for noise identification in imbalanced data classification

Imbalanced data typically refers to a condition in which several data samples in a certain problem is not equally distributed, thereby leading to the underrepresentation of one or more classes in the dataset. These underrepresented classes are referred to as a minority, while the overrepresented one...

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Bibliographic Details

Published in:	Journal of King Saud University. Computer and information sciences Vol. 34; no. 6; pp. 3413 - 3423
Main Authors:	Asniar, Nur Ulfa Maulidevi, Kridanto Surendro
Format:	Journal Article
Language:	English
Published:	Springer 01.06.2022
Subjects:	Imbalanced data Noisy data Outliers Predictive accuracy SMOTE
ISSN:	1319-1578
Online Access:	Get full text
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