article Open AccessTop 1% cited
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
Information Sciences · 2018 · Vol. 465 · pp. 1–20
Georgios Douzas(Universidade Nova de Lisboa)Fernando Bação✉(Universidade Nova de Lisboa)Felix Last(Universidade Nova de Lisboa)
Imbalanced Data Classification TechniquesAnomaly Detection Techniques and ApplicationsElectricity Theft Detection TechniquesOversamplingComputer scienceMachine learningArtificial intelligenceCluster analysisClassifier (UML)Python (programming language)Data miningClass (philosophy)Noise (video)
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Cited by
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Information Sciences · 2014 · 606 citations
Clustering-based undersampling in class-imbalanced data
Information Sciences · 2017 · 807 citations
UCI Machine Learning Repository
Medical Entomology and Zoology · 2007 · 24,290 citations
The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance
Journal of the American Statistical Association · 1937 · 4,851 citations
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