Clustering-based undersampling in class-imbalanced data

Mathematics

• Clustering 100%
• Classifier Ensemble 47%
• Data Preprocessing 38%
• Strategy 32%
• Class 31%
• Classifier 26%
• Multilayer Perceptron 17%
• Oversampling 16%
• Decision tree 14%
• Number of Clusters 14%
• Performance 13%
• Learning Algorithm 13%
• Data Mining 13%
• Machine Learning 12%
• Nearest Neighbor 12%
• Deletion 12%
• Experimental Results 11%

Business & Economics

• Clustering 96%
• Classifier 55%
• Minorities 19%
• Decision Tree 18%
• Data Mining 17%
• Nearest Neighbor 15%
• Machine Learning 15%
• Learning Algorithm 14%
• Imbalance 11%
• Performance 8%

Engineering & Materials Science

• Classifiers 74%
• Multilayer neural networks 27%
• Decision trees 25%
• Learning algorithms 21%
• Data mining 21%
• Machine learning 19%