基于改进FP算法的隧道交通事故关联分析  

Improved FP algorithm based associations analysis of tunnel traffic accident

作　　者：刘云翔 韩贝 LIU Yunxiang;HAN Bei(Shanghai Institute of Technology,Shanghai 201418,China)

机构地区：[1]上海应用技术大学,上海201418

出　　处：《现代电子技术》2018年第17期141-144,共4页Modern Electronics Technique

基　　金：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)~~

摘　　要：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。In order to effectively predict the tunnel traffic accident and find the potential relationship between the factors causing the tunnel traffic accidents,an improved FP-Growth algorithm is proposed according to the data characteristic of tunnel traffic accident.The item and attribute are endowed with weight to effectively dig out the hidden and meaningful association rules.The improved WFP-Growth algorithm is used to establish the association rule mining model.The collected data is mined to find the factors combination causing the frequent tunnel traffic accidents,and decision rule by means of the analysis results.

关 键 词：数据挖掘 关联规则 WFP-Growth算法 权重 公路隧道 交通事故 

分 类 号：TN911.1-34[电子电信—通信与信息系统] TP312[电子电信—信息与通信工程]