A cluster-assisted differential evolution-based hybrid oversampling method for imbalanced datasets

INIS

• hybrids 100%
• datasets 100%
• sampling 66%
• noise 66%
• performance 33%
• data 33%
• operation 33%
• classification 33%
• machine learning 33%
• reduction 33%
• distribution 33%
• variations 33%
• accumulation 33%
• gain 33%
• validation 33%
• benchmarks 33%
• randomness 33%
• filters 33%
• mutations 33%
• vectors 33%
• partition 33%
• decision tree analysis 33%

Keyphrases

• Well-distributed 20%
• Majority Class 20%
• Noise Accumulation 20%
• Biased Models 20%
• Class Separability 20%
• Observed Gain 20%
• Boundary Representation 20%
• Crossover Operation 20%
• Boundary Noise 20%

Computer Science

• Reduction Mechanism 25%
• Majority Class 25%
• Minority Class 25%
• Boundary Representation 25%