| 基于Apriori算法的船舶交通事故关联规则分析 |
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| 引用本文： | 黄常海,高德毅,胡甚平,耿鹤军,彭宇.基于Apriori算法的船舶交通事故关联规则分析[J].上海海事大学学报,2014,35(3):18-22. |
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| 作者姓名： | 黄常海 高德毅 胡甚平 耿鹤军 彭宇 |
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| 作者单位： | 1. 上海海事大学商船学院,上海,201306
2. 上海海事大学商船学院,上海201306;上海市教育委员会,上海200003 |
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| 基金项目： | 国家自然科学基金（51279099）；上海市自然科学基金（12ZR1412500）；上海市教育委员会和上海市教育发展基金会“曙光计划”基金（12SG40）；上海海事大学研究生创新基金（yc2012067）；上海海事大学优秀博士学位论文培育项目(2013bxlp006) |
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| 摘 要： | 为有效分析船舶交通事故的潜在因果关系,预防和控制事故的发生,采用关联规则方法对相关数据进行有效挖掘,制定船舶交通事故关联规则挖掘流程,建立船舶交通事故关联规则分析模型.基于Apriori算法对船舶交通事故数据进行关联规则分析,挖掘事故间的强关联规则.对所挖掘出的强关联规则进行分析,发现事故致因因素间的潜在关系,并提出事故防范对策以保障海上交通安全.
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| 关 键 词： | 船舶交通事故 数据挖掘 Apriori算法 关联规则 海上交通安全 |
| 收稿时间： | 2014/1/10 0:00:00 |
| 修稿时间： | 3/5/2014 12:00:00 AM |
Association rule analysis of vessel traffic accidents based on Apriori algorithm |
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| HUANG Changhai
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GAO Deyi
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HU Shenping
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GENG Hejun
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PENG Yu.Association rule analysis of vessel traffic accidents based on Apriori algorithm[J].Journal of Shanghai Maritime University,2014,35(3):18-22. |
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| Authors: | HUANG Changhai GAO Deyi HU Shenping GENG Hejun PENG Yu |
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| Institution: | Merchant Marine College, Shanghai Maritime University |
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| Abstract: | To analyze the underlying causation of vessel traffic accidents effectively to prevent and control the occurrence of an accident, the association rule method is used to make effective mining of the related data, the association rule mining process of vessel traffic accidents is made, and the association rule ana lysis model of vessel traffic accidents is established. Strong association rules are dug out through the association rule analysis on vessel traffic accident data based on Apriori algorithm. The underlying relationship among accident causing factors is found out through the analysis on the strong association rules, and the measures to prevent accidents are proposed to ensure marine traffic safety. |
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| Keywords: | vessel traffic accident data mining Apriori algorithm association rule marine traffic safety |
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