| 道路交通事故中关联规则挖掘研究 |
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| 引用本文： | 王冬秀,赖先涛,李辉,苏宇.道路交通事故中关联规则挖掘研究[J].计算机与现代化,2012(8):206-208,217. |
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| 作者姓名： | 王冬秀 赖先涛 李辉 苏宇 |
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| 作者单位： | 1. 广西工学院财经学院,广西柳州,545006
2. 上汽通用五菱汽车股份有限公司技术中心,广西柳州,545007 |
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| 基金项目： | 广西工学院自然科学基金资助项目，广西教育厅科研项目 |
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| 摘 要： | 为了有效地对交通事故进行预测,发现交通事故中的潜在规律,本文通过多维关联规则挖掘方法在Clemetine 11.0中建立Apriori关联规则挖掘模型,挖掘导致交通事故发生的频繁因素组合,从中找到规律,从而为交通管理部门采取相应的预防措施提供决策支持。
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| 关 键 词： | 关联规则 Apriori挖掘模型 交通事故 |
Research on Mining Association Rules in Road Traffic Accidents |
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| WANG Dong-xiu
,
LAI Xian-tao
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LI Hui
,
SU Yu.Research on Mining Association Rules in Road Traffic Accidents[J].Computer and Modernization,2012(8):206-208,217. |
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| Authors: | WANG Dong-xiu LAI Xian-tao LI Hui SU Yu |
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| Affiliation: | 1. College of Finance and Economics, Guangxi University of Technology, Liuzhou 545006, China ; 2. Technology Department Center, SAIC GM Wuling Automobile Co. , Ltd. , Liuzhou 545007, China) |
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| Abstract: | In order to effectively predict traffic accidents and find its potential laws, this paper mines the frequent combination of factors that lead to traffic accidents. Through establishing Apriori association rule mining model in Clemetine 11.0 with the multi dimensional association rules mining method, it can find law to take appropriate preventive measures to provide decision support for the traffic management department. |
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| Keywords: | association rule Apriori mining model traffic accident |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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