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Application Data Mining Technology in Identifying and Analyzing Decision-making on the Road Black Spot

机译:数据挖掘技术在道路黑点决策识别与分析中的应用

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摘要

It establishes a suit of system of identifying and analyzing decision-makings on the road black spot, and raises a method of identifying the road black spot based on DBSCAN algorithm concerning the consistency clustering analysis, then makes use of an improved APRIORI algorithm in reference to the association rule to analyze the data. Subsequently it proposes a new data mining model of the road traffic accident to find the potential valuable and relational laws, which can offer important references to institute practicality fathering schemes and defending measures.
机译:建立了一套对道路黑点决策进行识别和分析的系统,提出了一种基于DBSCAN算法的道路黑点识别一致性聚类分析的方法,并在此基础上采用了改进的APRIORI算法。关联规则以分析数据。随后提出了一种新的道路交通事故数据挖掘模型,以寻找潜在的有价值的和相关的规律,为制定实用性指导方案和防御措施提供重要参考。

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