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The document discusses the integration of AI-based decision support systems in project management, emphasizing the importance of machine learning algorithms for predicting delays and cost overruns in construction projects. It reviews various studies that utilize different algorithms, such as Decision Trees, Random Forest, and XGBoost, highlighting their effectiveness in enhancing project management efficiency and accuracy. Additionally, it suggests open-access studies that validate the use of these algorith

Author

Rafik

Language

EN