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Using Machine Learning to Improve Cost and Duration Prediction Accuracy in Green Building Projects
16 references·3 citing·46 second hop
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References

  • 2021Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions2,700 cited
  • 2014Data Preprocessing in Data Mining1,374 cited
  • 2005Factors affecting cost performance: evidence from Indian construction projects506 cited
  • 2006From Nobel Prize to Project Management: Getting Risks Right498 cited
  • 2003Delusions of Success383 cited
  • 2018Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes272 cited
  • 2020A novel construction cost prediction model using hybrid natural and light gradient boosting226 cited
  • 2020Cost estimation and prediction in construction projects: a systematic review on machine learning techniques211 cited
  • 2011Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models180 cited
  • 2022Extreme Gradient Boosting-Based Machine Learning Approach for Green Building Cost Prediction173 cited
  • 2000Using Risk Analysis to Determine Construction Project Contingencies166 cited
  • 2003Forecast models for actual construction time and cost146 cited
  • 2003Predicting Cost Deviation in Reconstruction Projects: Artificial Neural Networks versus Regression142 cited
  • 2013Comparison of School Building Construction Costs Estimation Methods Using Regression Analysis, Neural Network, and Support Vector Machine

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97 cited
  • 2013COMPARISON OF SCHEDULE DELAY AND CAUSAL FACTORS BETWEEN TRADITIONAL AND GREEN CONSTRUCTION PROJECTS89 cited
  • 2007Application of Support Vector Machines in Assessing Conceptual Cost Estimates88 cited
  • Cited by

    • 2023Applying Machine Learning and Particle Swarm Optimization for predictive modeling and cost optimization in construction project management49 cited
    • 2025Artificial intelligence in risk management within the realm of construction projects: A bibliometric analysis and systematic literature review41 cited
    • 2024Driving factors for the adoption of green finance in green building for sustainable development in developing countries: The case of Ghana25 cited