Data augmentation to improve the performance of ensemble learning for system failure prediction with limited observations

Computer Science

• Ensemble Learning 100%
• Learning Framework 50%
• Fold Cross Validation 25%
• Preprocessing 25%
• Ensemble Learning Algorithm 25%
• Long Short-Term Memory Network 25%
• Machine Learning Algorithm 25%
• Operational Process 25%
• Case Study 25%
• Time Series Data 25%
• Prediction Performance 25%
• Memory Model 25%