一种改进的Apriori挖掘算法的研究与应用  

Research and Application of an Improved Apriori Rules Algorithm

作　　者：刘军[1] 艾力斯木吐拉[2] 段天山[1] 刘平仁[1] 马宝柱[1] 

机构地区：[1]新疆维吾尔自治区地震局,乌鲁木齐830011 [2]新疆农业大学,乌鲁木齐830052

出　　处：《武汉理工大学学报》2009年第19期144-147,共4页Journal of Wuhan University of Technology

基　　金：国家自然科学基金(50422286)

摘　　要：为了有效地识别和发现事故数据的模式及其内在规律,提出一种改进的Apriori多维关联规则挖掘算法作为分析大量交通事故记录的方法,通过找出可能导致交通事故发生的频繁因素组合,协助交通管理者更好地找出引发事故的原因与规律,并作出相应的决策。In order to effectively identify and find the accident data model and its inherent laws, a method of analyzing a large number of traffic accidents recorded by improving apriori mining arithmetic of multi-dimensional association rules is put forward. It helps traffic managers better to identify the law and the cause of the accident and make the corresponding decisions by identifing the frequent occurred factors that may lead to the traffic accidents.

关 键 词：数据挖掘 多维关联规则 APRIORI算法 沙漠公路 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]