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Study on the Data-mining based Mechanism for the Occurrence of Ship Collision Accidents Caused by Human Factors

机译:人为因素造成船舶碰撞事故发生的基于数据挖掘机制的研究

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In order to effectively analyze the mechanism for the occurrence of ship collision accidents caused by human factors, an accident causing chain was constructed using the Bayesian network structure and the data mining algorithm. According to navigator's cognitive behavior forming process and human errors, the accident cause network structure was constructed using the Bayesian network structure by analyzing 120 typical cases about ship collision accidents caused by human factors; a collision accident cause chain was obtained by mining the frequent combination of human errors using data-mining based Apriori algorithm and JAVA programming language.
机译:为了有效分析人类因素引起的船舶碰撞事故的发生机制,使用贝叶斯网络结构和数据挖掘算法构建了造成链条的事故。根据导航员的认知行为形成过程和人为错误,事故原因通过分析了由人类因素引起的船舶碰撞事故的120个典型案例来构建网络结构;通过使用基于数据挖掘的APRiori算法和Java编程语言进行人为错误的频繁组合来获得碰撞事故原因链。

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