{"title":"基于机器学习的数据驱动海洋事故风险分析方法","authors":"Yinwei Feng, Huanxin Wang, Guoqing Xia, Wenjie Cao, Tianyi Li, Xinjian Wang, Zhengjiang Liu","doi":"10.1080/20464177.2024.2368914","DOIUrl":null,"url":null,"abstract":"In view of the frequent occurrence of marine accidents and the complex interaction of various risk-influencing factors (RIFs), a data-driven method to risk analysis that combines association rule m...","PeriodicalId":501496,"journal":{"name":"Journal of Marine Engineering & Technology","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A machine learning-based data-driven method for risk analysis of marine accidents\",\"authors\":\"Yinwei Feng, Huanxin Wang, Guoqing Xia, Wenjie Cao, Tianyi Li, Xinjian Wang, Zhengjiang Liu\",\"doi\":\"10.1080/20464177.2024.2368914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In view of the frequent occurrence of marine accidents and the complex interaction of various risk-influencing factors (RIFs), a data-driven method to risk analysis that combines association rule m...\",\"PeriodicalId\":501496,\"journal\":{\"name\":\"Journal of Marine Engineering & Technology\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Marine Engineering & Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/20464177.2024.2368914\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Marine Engineering & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/20464177.2024.2368914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A machine learning-based data-driven method for risk analysis of marine accidents
In view of the frequent occurrence of marine accidents and the complex interaction of various risk-influencing factors (RIFs), a data-driven method to risk analysis that combines association rule m...