Interpreting the influential factors in ship detention using a novel random forest algorithm considering dataset imbalance and uncertainty-Reference-Cited by-同舟云学术

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Interpreting the influential factors in ship detention using a novel random forest algorithm considering dataset imbalance and uncertainty

Published:2024-07 Issue: Volume:133 Page:108369
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Xiao Yi,Jin Mengjie,Qi Guanqiu,Shi Wenming^ORCID,Li Kevin X.^ORCID,Du Xianping^ORCID

Publisher

Elsevier BV

Reference37 articles.

1. Safety and shipping review 2023,2023

2. Risk analysis of ship detention defects based on association rules;Chen;Mar. Pol.,2022

3. Analyzing the influencing factors of Port State Control for a cleaner environment via Bayesian network model;Chuah;Cleaner Engineering and Technology,2023

4. Intelligent ship inspection analytics: ship deficiency data mining for port state control;Demirci;Ocean Eng.,2023

5. A Data Mining Methodology for Vehicle Crashworthiness Design;Du,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of Big Data Analysis in Model Construction to Prevent Athlete Injury in Training;Applied Mathematics and Nonlinear Sciences;2024-01-01

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