A novel parallel series data-driven model for IATA-coded flight delays prediction and features analysis

Engineering

• Air Transport 100%
• Data Series 100%
• Extreme Learning Machine 66%
• Airlines 33%
• Decision Boundary 16%
• Application Area 16%
• Noisy Data 16%
• Traffic Management 16%
• Air Traffic 16%
• Objective Function 16%
• Gradient Descent 16%
• Historical Data 16%
• Traffic Control 16%

Computer Science

• Extreme Learning Machine 100%
• Sampling Approach 50%
• Driven Approach 25%
• Gradient Descent 25%
• Historical Data 25%
• Generalization Performance 25%
• Traffic Management 25%
• Case Study 25%
• Application Area 25%
• Decision Boundary 25%
• Objective Function 25%
• Traffic Control 25%
• Learning Rate 25%