Network mining techniques to analyze the risk of the occupational accident via bayesian network

Today, as the construction industry grows, the frequency of occupational accidents has risen as well. The advancement of technology, inadequacies in workplace safety procedures, and untrained workers are the primary causes of these workplace mishaps. In this research, occupational accident data were...

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Bibliographic Details
Published in:	International journal of system assurance engineering and management Vol. 13; no. Suppl 1; pp. 633 - 641
Main Authors:	Nayak, Nihar Ranjan, Kumar, Sumit, Gupta, Deepak, Suri, Ashish, Naved, Mohd, Soni, Mukesh
Format:	Journal Article
Language:	English
Published:	New Delhi Springer India 01-03-2022 Springer Nature B.V
Subjects:	Accident data Accident prediction Bayesian analysis Construction companies Construction industry Contingency tables Engineering Engineering Economics Frequency analysis Logistics Machine learning Marketing Occupational accidents Occupational safety Organization Original Article Quality Control Reliability Risk analysis Safety and Risk Tabulation Univariate frequency analysis Potential severity Occupational accident Cyclical probability Cross-tabulation Network mining Machine learning Bayesian network Spreadsheet application
Online Access:	Get full text
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