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基于 Apriori 算法的海事事故中人为失误致因分析
引用本文:李铃铃,仇蕾.基于 Apriori 算法的海事事故中人为失误致因分析[J].交通信息与安全,2014(2):110-114.
作者姓名:李铃铃  仇蕾
作者单位:河海大学管理科学研究所,南京211100
摘    要:海事事故主要是由人为失误引发的,人为失误又受个人因素、环境因素、船舶因素以及组织因素的影响。一般统计方法只能够初步识别引发海洋事故的人为失误行为,想要进一步建立人为失误和影响因素之间的关系比较困难。利用了数据挖掘中的关联规则技术建立模型,对人为失误与导致因素之间的关系进行分析。以国内外100份海事事故调查报告作为对象,研究出人为失误和环境因素之间的关系。实践表明,人为因素和环境因素是导致海事事故发生的重要因素。

关 键 词:海事事故  人为失误  个人因素  关联规则

Causation Analysis of Human Error Related Marine Accidents Using Apriori Algorithm
LI Lingling,QIU Lei.Causation Analysis of Human Error Related Marine Accidents Using Apriori Algorithm[J].Journal of Transport Information and Safety,2014(2):110-114.
Authors:LI Lingling  QIU Lei
Affiliation:(Management Science Institute, Hohai University, Nanjing 211100, China)
Abstract:A high number of maritime accidents are caused due to human errors ,which are further influenced by personal factors ,environmental factors ,ship factors and management factors .A general statistical approach can only link maritime accidents to simple human behavior problem ;however ,it cannot further establish the relationship between the human error and other real influencing factors .It is very challenging for researchers to set up the relationship between the human fault and other influencing factors that cause the human error due to the insufficient data ,improper research meth-od ,and limited research which is only confined to the relationship between human error and a single factor .In this paper a model is established by using data mining association rules to analyze the relationship between the human fault and its environment influencing factors .This paper collects 100 domestic and international maritime accident investigation re-ports ,and uses data mining association rules to explore the relationships between human factor and environmental factor . Practices prove that human factor and environmental factor are the major factors causing maritime accidents .
Keywords:maritime accident  human fault  personal factors  association rules
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