刘云翔,韩贝

• 1:上海应用技术大学

摘要(Abstract)：

为了有效地对隧道交通事故进行预测,发现引起隧道交通事故的因素之间的潜在关系,针对隧道交通事故数据的特点,提出改进的FP-Growth算法,对事务与属性赋予权重,从而能够有效地挖掘出隐藏的、更有意义的关联规则。并利用改进后的WFP-Growth算法建立关联规则挖掘模型,通过挖掘采集的数据,找出导致隧道交通事故的频繁因素组合,分析结果找出决策规则。

关键词(KeyWords)： 数据挖掘;关联规则;WFP-Growth算法;权重;公路隧道;交通事故

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金资助项目(41671402);国家自然科学基金资助项目(61401281)~~

作者(Author): 刘云翔,韩贝

DOI: 10.16652/j.issn.1004-373x.2018.17.031

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