A New Text-Mining–Bayesian Network Approach for Identifying Chemical Safety Risk Factors

A New Text-Mining–Bayesian Network Approach for Identifying Chemical Safety Risk Factors

The frequent occurrence of accidents in the chemical industry has caused serious economic loss and negative social impact. The chemical accident investigation report is of great value for analyzing the risk factors involved. However, traditional manual analysis is time-consuming and labor-intensive,...

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Bibliographic Details
Main Authors: Zhiyong Zhou, Jianhui Huang, Yao Lu, Hongcai Ma, Wenwen Li, Jianhong Chen
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Mathematics
Subjects:
chemical safety
risk factor identification
text mining
association-rule mining
Bayesian network
Online Access:https://www.mdpi.com/2227-7390/10/24/4815

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