A Comparative Study of SMOTE, Borderline-SMOTE, and ADASYN Oversampling Techniques using Different Classifiers
Author:
Affiliation:
1. Indira Gandhi Delhi Technical, University for Women,Computer Science Engineering,New Delhi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10127650/10127652/10127891.pdf?arnumber=10127891
Reference26 articles.
1. Oversampling Method Based on Gaussian Distribution and K-Means Clustering
2. AGNES-SMOTE: An Oversampling Algorithm Based on Hierarchical Clustering and Improved SMOTE
3. A fast network intrusion detection system using adaptive synthetic oversampling and LightGBM
4. Heartbeat Anomaly Detection using Adversarial Oversampling
5. An Improving Majority Weighted Minority Oversampling Technique for Imbalanced Classification Problem
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