Data mining approach to construction productivity prediction for cutter suction dredgers

Keyphrases

• Data Mining Techniques 100%
• Construction Productivity 100%
• Productivity Prediction 100%
• Cutter Suction Dredger 100%
• Prediction Accuracy 66%
• Monitoring Data 66%
• XGBoost 66%
• Machine Learning 33%
• Predictive Models 33%
• Intelligent Data Mining 33%
• Meteorology 33%
• Naïve Bayes 33%
• Least Absolute Shrinkage and Selection Operator (LASSO) 33%
• Feature Data 33%
• Filtered Data 33%
• Prediction Effect 33%
• Combined Algorithm 33%
• Maximal Information Coefficient 33%
• Dredging Engineering 33%
• Soil Hydrology 33%
• Engineering Case 33%
• Gradient Enhancement 33%
• Result Prediction 33%
• K-nearest 33%
• XGBoost Model 33%
• Data Cleaning Methods 33%
• Machine Learning Algorithm Random Forest 33%
• Dredger 33%
• Extreme Gradient 33%

Engineering

• Dredging 100%
• Engineering 100%
• Monitoring Data 100%
• Accurate Prediction 50%
• Cleaning Method 50%
• Random Forest 50%
• Machine Learning Algorithm 50%
• Input Term 50%
• Learning System 50%