Real-time flood overflow forecasting in Urban Drainage Systems by using time-series multi-stacking of data mining techniques

Computer Science

• Case Study 66%
• Confusion Matrix 33%
• Data Mining Model 33%
• Data Mining Technique 100%
• Data Warehouse 33%
• Decision Framework 33%
• Decision Tree 33%
• Early Warning System 33%
• Ensemble Modeling 66%
• Hit Rate 33%
• Machine Learning Model 33%
• Miss Rate 66%
• Model Benchmark 33%
• Numerical Data 33%
• Overestimation 33%
• Performance Criterion 33%
• Performance Indicator 33%
• Risk Management 33%
• Weather Condition 33%

Earth and Planetary Sciences

• Drainage System 100%
• Flood Forecasting 20%
• London 20%
• Machine Learning Model 20%
• Performance Assessment 20%
• Real Time 100%
• Risk Management 20%
• Stacking 100%
• Time Series 100%
• Urban Drainage 100%
• Water Level 20%
• Weather Condition 20%

Keyphrases

• Blended Mode 16%
• Decision Tree Framework 16%
• Matrix Quality 16%
• Multi-stacking 100%