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基于SSAS的油库安全事故关联分析
引用本文:王冰,刘岩,周庆忠,樊荣,李必鑫. 基于SSAS的油库安全事故关联分析[J]. 物流技术, 2011, 0(19): 143-145
作者姓名:王冰  刘岩  周庆忠  樊荣  李必鑫
作者单位:后勤工程学院;河南省军区后勤部战勤处;
基金项目:总后勤部军需物资油料部资助项目
摘    要:为有效地从纷繁复杂的油库安全事故要素中整理出规律性的油库安全管理知识,采用了SSAS数据挖掘工具中的关联规则算法;以大量油库安全事故案例为基础,进行了数据准备和处理;建立了基于关联规则算法的数据挖掘结构和模型;引入兴趣度参数,对数据挖掘模型得到的关联结果进行了分析、过滤;最后对数据挖掘的结果进行了实证分析;获得了油库安全事故触发因素与损失程度的关联规则;为油库安全管理提供了科学决策依据。

关 键 词:数据挖掘  油库安全  事故分析  关联规则  SSAS

Association Analysis of Oil Depot Safety Accidents Based on SSAS
WANG Bing,LIU Yan,ZHOU Qing-zhong,FAN Rong,LI Bi-xin. Association Analysis of Oil Depot Safety Accidents Based on SSAS[J]. Logistics Technology, 2011, 0(19): 143-145
Authors:WANG Bing  LIU Yan  ZHOU Qing-zhong  FAN Rong  LI Bi-xin
Affiliation:WANG Bing1,LIU Yan2,ZHOU Qing-zhong1,FAN Rong1,LI Bi-xin1(1.Logistical Engineering University,Chongqing 401311,2.Henan Military Area Logistics Department Military Operation Support Division,Zhengzhou 450003,China)
Abstract:In order to effectively extract knowledge and rules of oil depot safety management from the numerous and complex elements of oil depot safety accidents,the paper uses the association rule algorithm of the SSAS data mining tool-kit,prepares and processes data from a large quantity of oil depot safety accident cases and formulates the data mining structure and model based on the association rule algorithm.Then it introduces the interest parameter into the model to analyze and filter the association results ob...
Keywords:data mining  oil depot safety  accident analysis  association rule  SSAS  
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