Data on Machine Learning Detailed by Researchers at School of Civil Engineering (Risk Identification, Assessments, and Prediction for Mega Construction Projects: A Risk Prediction Paradigm Based on Cross Analytical-Machine Learning Model)

摘要

2021 MAY 05 (NewsRx) - By a News Reporter-Staff News Editor at Disease Prevention Daily-Investigators publish new report on machine learning. According to news reporting originating from Vellore, India, by NewsRx correspondents, research stated, "Risk identification and management are the two most important parts of construction project management." The news editors obtained a quote from the research from School of Civil Engineering: "Better risk management can help in determining the future consequences, but identifying possible risk factors has a direct and indirect impact on the risk management process. In this paper, a risk prediction system based on a cross analytical-machine learning model was developed for construction megaprojects. A total of 63 risk factors pertaining to the cost, time, quality, and scope of the megaproject and primary data were collected from industry experts on a five-point Likert scale.