Concepedia

A novel oversampling and feature selection hybrid algorithm for imbalanced data classification

Fang Feng, Kuan‐Ching Li, Erfu Yang, Qingguo Zhou, Lihong Han, Amir Hussain, Mingjiang Cai

Multimedia Tools and Applications · 2022 · 34 citations · 65 references

Open access

Concepts

ComputingData ScienceData MiningFeature EngineeringMachine LearningClassificationEnsemble LearningFeature SelectionRepresentation LearningResampling MethodsResampling TechniquesClass ImbalanceClass Imbalance HandlingClass Imbalance LearningEnsemble SamplingFeature Selection For ClassificationHybrid Feature SelectionImbalanced Classification

References

65

SMOTE: Synthetic Minority Over-sampling Technique

Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall et al. · Journal of Artificial Intelligence Research · 2002 · 31.2K citations · Full text

Computing, Computer Science, Data Science +12

Learning from Imbalanced Data

Haibo He, Edwardo A. Garcia · IEEE Transactions on Knowledge and Data Engineering · 2009 · 9.7K citations

Computing, Computer Science, Data Science +17

A study of the behavior of several methods for balancing machine learning training data

Gustavo E. A. P. A. Batista, Ronaldo C. Prati, Maria Carolina Monard · ACM SIGKDD Explorations Newsletter · 2004 · 4.1K citations

Computing, Computer Science, Data Mining +10

The Ant Lion Optimizer

Seyedali Mirjalili · Advances in Engineering Software · 2015 · 3.2K citations

Computing, Computer Science, Algorithms +11

Learning from class-imbalanced data: Review of methods and applications

Yijing Li, Jennifer Shang, Mingyun Gu et al. · Expert Systems with Applications · 2016 · 2.3K citations

Computing, Computer Science, Data Science +12