首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于Apriori算法的交通事故关联规则挖掘
引用本文:石鹏,宇仁德,刘芳.基于Apriori算法的交通事故关联规则挖掘[J].农业装备与车辆工程,2009(2).
作者姓名:石鹏  宇仁德  刘芳
作者单位:山东理工大学交通与车辆工程学院,山东,淄博,255049
摘    要:运用多维关联规则挖掘方法在clementine11.0中建立Apriori关联规则挖掘模型,通过找出可能导致交通事故发生的频繁因素组合来发现某些事故发生的规律,并将这些规律作为现实中作出预防举措的依据.

关 键 词:关联规则  交通事故  Apriori算法

Association Rules Data Mining on Traffic Accident Based on Apriori Algorithm
SHI Peng,YU Ren-de,LIU Fang.Association Rules Data Mining on Traffic Accident Based on Apriori Algorithm[J].Agricultural Equipment & Vehicle Engineering,2009(2).
Authors:SHI Peng  YU Ren-de  LIU Fang
Institution:School of Transportation and Vehicle Engineering;Shandong University of Technology;Zibo 255049;China
Abstract:The association rule data mining model of Apriori is established in clementine11.0. With this model we can find out the underlying rules in traffic accidents through searching the combination of frequent factors that probably lead to traffic accidents. In addition,armed with these rules discovered,we will be able to take effective actions to prohibit the anticipated accidents in real world.
Keywords:association rule  road traffic accident  Apriori algorithm  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号