Over-sampling algorithm for imbalanced data classification

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

A density-based algorithm for discovering clusters in large spatial Databases with Noise

Martin Ester, Hans‐Peter Kriegel, Jörg Sander et al. · 1996 · 19.1K citations

Computing, Computer Science, Geoinformatics +14

ADASYN: Adaptive synthetic sampling approach for imbalanced learning

Haibo He, Yang Bai, Edwardo A. Garcia et al. · 2008 · 4.4K citations

Computing, Computer Science, Data Mining +16

SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

José A. Sáez, Julián Luengo, Jerzy Stefanowski et al. · Information Sciences · 2014 · 619 citations

Computing, Computer Science, Machine Learning +16

AdaCost: Misclassification Cost-Sensitive Boosting

Wei Fan, Salvatore J. Stolfo, Junxin Zhang et al. · 1999 · 596 citations

Computing, Computer Science, Data Science +12