SMOTE-LOF for noise identification in imbalanced data classification

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
Main Authors: Asniar, Nur Ulfa Maulidevi, Kridanto Surendro
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Imbalanced data
SMOTE
Noisy data
Outliers
Predictive accuracy
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157821000161

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