A hybrid evolutionary preprocessing method for imbalanced datasets

Keyphrases

• Preprocessing Techniques 100%
• Hybrid Evolutionary Algorithm 100%
• Imbalanced Data 100%
• Undersampling 75%
• Resampling 50%
• Classification Model 50%
• Small Classes 50%
• Over-under 50%
• Well-balancing 25%
• Fuzzy Logic 25%
• Sampling Strategy 25%
• Decision Tree 25%
• Training Set 25%
• Machine Learning Algorithms 25%
• Support Vector Machine 25%
• Classification Problem 25%
• Nearest Neighbor Rule 25%
• Large Classes 25%
• Sampling Rate 25%
• Evolutionary Computation 25%
• F-measure 25%
• C4.5 25%
• Cross-generational 25%
• Sample Complexity 25%
• Heterogeneous Recombination 25%
• Elitist Selection 25%
• Over Sampling 25%
• Hybrid Preprocessing 25%
• Balanced Dataset 25%

Mathematics

• Support Vector Machine 100%
• Nearest Neighbour 100%
• Decision Tree 100%
• Training Set 100%
• Classification Problem 100%
• Sampling Rate 100%

Computer Science

• Classification Models 100%
• Machine Learning Algorithm 50%
• Imbalanced Data 50%
• Computational Method 50%
• Sampling Rate 50%
• Decision Tree 50%
• Support Vector Machine 50%
• Experimental Result 50%
• Classification Problem 50%
• Fuzzy Mathematics 50%