BOOK-CHAPTER
An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets
Yap Bee WahKhatijahhusna Abd RaniHezlin Aryani Abd RahmanSimon FongZuraida KhairudinNik Nik Abdullah
Year: 2013 Lecture notes in electrical engineering Pages: 13-22 Publisher: Springer Science+Business Media
Keywords:
Undersampling Oversampling Boosting (machine learning) Decision tree Artificial intelligence Machine learning CHAID Computer science Classifier (UML) Binary classification Gradient boosting Bootstrap aggregating Pattern recognition (psychology) Random forest Data mining Support vector machine
Metrics
284
Cited By
7.26
FWCI (Field Weighted Citation Impact)
25
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Imbalanced Data Classification Techniques
Physical Sciences → Computer Science → Artificial Intelligence
Artificial Intelligence in Healthcare
Health Sciences → Health Professions → Health Information Management
Machine Learning and Data Classification
Physical Sciences → Computer Science → Artificial Intelligence
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