基于数据挖掘的船舶交通事故关联分析  

The Association Analysis of Vessel Traffic Accident Based on Data Mining

作　　者：马建斌[1] 陈红玉[2] 齐壮[1] 李江[1] 

机构地区：[1]大连海事大学航海学院,辽宁大连116026 [2]大连海事大学交通运输管理学院,辽宁大连116026

出　　处：《船海工程》2016年第A01期266-270,共5页Ship & Ocean Engineering

基　　金：马六甲新加坡海峡航行安全风险研究项目（891306）;东海至宫古海峡航海保障研究项目（80716004）;海上交通风险研究项目（80714003）

摘　　要：为进一步分析海上交通事故发生的潜在原因，降低事故发生率，保障船舶航行安全，以船舶交通事故数据库作为研究对象，对海上交通事故数据进一步挖掘。并在R语言编程的基础上采用改进Apriori算法进行关联分析，在相应的支持度和置信度的基础上产生强关联规则，挖掘出事故发生的真正原因。通过实验结果表明，该算法较之前的支持度有了明显改善，提高了该算法在海上交通事故的可用性。同时，结合事故致因因素间的潜在关系，提出海上交通事故的预防建议及对策，旨在为船舶航行安全提供有力理论基础。For further analyzing the underlying causes of maritime traffic accidents, reducing the accident rate and ensuring the safety for navigation of ships, the vessel traffic accident database was taken as the research object to study the mining method of the maritime traffic accident data. The improved Apriori algorithm was applied in association analysis by R language program- ming to dig out the real cause of the marine traffic accident. The experimental results showed that the proposed algorithm significantly improved the reliability of analysis for the maritime traffic accidents. Combined with the potential relationship between the accident cause factor, some impersonal suggestions and countermeasures were put forward for maritime traffic accident prevention.

关 键 词：海上交通事故 数据挖掘 改进Apriori算法 关联规则 航海安全保障 

分 类 号：U698.6[交通运输工程—港口、海岸及近海工程]