基于数据挖掘的船舶人为碰撞事故致因链研究
为有效研究人为失误导致船舶碰撞事故的形成机理，采用贝叶斯网络结构和数据挖掘算法构建事故致因链。通过分析128起典型人为失误致因船舶碰撞事故案例，辨识主要人为失误行为，依据事故中驾驶员认知行为形成过程，贝叶斯网络构建事故致因网络结构；Apriori算法和JAVA语言编程挖掘事故的人为失误频繁因素组合，得出导致碰撞事故的人为失误致因链。
Causation chain of ship collision accident due to human error based on data mining technology
Methods are presented to effectively analysis accident mechanism of ship collisions. An accident causation chain is structured based on Bayesian Network and Association Rule Technology which is extensively used in the field of data mining. Accident Network is built after analyzing 128 ship collision accidents due to human error. Apriori algorithm and Java program are employed to identify frequent occurrence human error, and accident causation chain is formed.
船舶 / 碰撞事故 / 数据挖掘 / 关联规则 / 人为失误 / 致因链
ship / collision accident / data mining / association rule / human error / causation chain
/
| 〈 |
|
〉 |
