Boosting imbalanced data learning with Wiener process oversampling

DOI10.1007/S11704-016-5250-YzbMath1403.68196OpenAlexW2554341567MaRDI QIDQ1712569

Peng Zhang

Publication date: 22 January 2019

Published in: Frontiers of Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11704-016-5250-y

zbMATH Keywords

Wiener processAdaBoostoversamplingensemble learningimbalanced-data learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• UCI-ml
• BoosTexter
• SMOTEBoost
• SMOTE

Cites Work

• Bagging predictors
• BoosTexter: A boosting-based system for text categorization
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