基于Apriori算法的交通事故关联规则挖掘  

Association Rules Data Mining on Traffic Accident Based on Apriori Algorithm

作　　者：石鹏[1] 宇仁德[1] 刘芳[1] 

机构地区：[1]山东理工大学交通与车辆工程学院,山东淄博255049

出　　处：《农业装备与车辆工程》2009年第2期11-13,17,共4页Agricultural Equipment & Vehicle Engineering

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。The association rule data mining model of Apriori is established in clementinell.O. 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.

关 键 词：关联规则 交通事故 APRIORI算法 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论] U491[自动化与计算机技术—计算机科学与技术]