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Machine learning in project analytics: a data-driven framework and case study
16 references·6 citing·50 second hop
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References

  • 2003The Performance Prism: The Scorecard for Measuring and Managing Business Success1,031 cited
  • 2011Analysing factors affecting delays in Indian construction projects748 cited
  • 2003Earned Value Project Management Method and Extensions392 cited
  • 2019Machine Learning Algorithms for Construction Projects Delay Risk Prediction324 cited
  • 2014Stakeholder-associated risks and their interactions in complex green building projects: A social network model321 cited
  • 2015Managing a Big Data project: The case of Ramco Cements Limited243 cited
  • 2015Managing change in the delivery of complex projects: Configuration management, asset information and ‘big data’237 cited
  • 2020Cost estimation and prediction in construction projects: a systematic review on machine learning techniques211 cited
  • 2017Delay and Cost Overrun in Infrastructure Projects in Jordan170 cited
  • 2005Entropy-based and trapezoid fuzzification-based fuzzy time series approaches for forecasting IT project cost163 cited
  • 2010A fuzzy approach for the earned value management144 cited
  • 2014Factors contributing to project time and hence cost overrun in the Malaysian construction industry116 cited
  • 2011Stochastic Forecast of Construction Cost Index Using a Cointegrated Vector Autoregression Model105 cited
  • 2015Stochastic earned value analysis using Monte Carlo simulation and statistical learning techniques

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98 cited
  • 2015Volatility Forecast of Construction Cost Index Using General Autoregressive Conditional Heteroskedastic Method80 cited
  • 2022A machine learning-based iterative design approach to automate user satisfaction degree prediction in smart product-service system67 cited
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    • 2023A machine learning study to improve the reliability of project cost estimates40 cited
    • 2025Hybrid machine learning solutions for mitigating climate-induced productivity losses in sustainable construction management33 cited
    • 2022A robust and resilience machine learning for forecasting agri-food production32 cited