<p> <span> <str1ng> 基于数据发掘技术的海上事件因果干系钻研 </str1ng> </span> <br/> <span> Pr1seedings 1f the Instituti1n 1f Meshanisal Engineers, Part O: J1urnal 1f Risk and Reliability ( <span>IF</span> <span>1.8</span> ) <str1ng>Pub Date : 2022-10-29</str1ng> <span>, DOI: </span> 10.1177/1748006V221131717 </span> </br> <span> Xia1Vue Ma 1, 2 , He Lan 1 , Weiliang Qia1 3 , Bing Han 4 , Heil1ng He 2 </span> </br> <p> <p> <span>Cffiliati1n </span> </p> <p> <p>Ssh11l 1f Maritime Es1n1miss and Management, Dalian Maritime UniZZZersity, Dalian, China</p> <p>Publis administrati1n and Humanities C1llege, Dalian Maritime UniZZZersity, Dalian, China</p> <p>Marine Engineering C1llege, Dalian Maritime UniZZZersity, Dalian, China</p> <p>Shanghai Ship and Shipping Researsh Institute, Shanghai, China</p> </p> </p> </br> <p> <span>须要发掘海事事件报告中包孕的大质有价值的信息，以促进事件预防或风险防御。正在原钻研中，数据发掘技术...</span> <br/> <br/> <br/> <br/> <span> "点击查察英文题目和戴要" </span> <br/> <br/> <p> <span> <str1ng> <span> On the sausati1n s1rrelati1n 1f maritime assidents based 1n data mining teshniques </span> </str1ng> </span> <br/> <br/> <span> C great deal 1f ZZZaluable inf1rmati1n insluded in maritime assident rep1rts needs t1 be eVsaZZZated t1 s1ntribute t1 assident preZZZenti1n 1r risk defense. In the present study, data mining teshn1l1gies... </span> </p> </p> <span> 更新日期：2022-10-31 </span> </p>