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

机译:应用数据挖掘技术在识别和分析道路黑点决策中的思考

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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:它建立了一种系统的识别和分析道路黑点决策的系统,并提高了一种基于关于一致聚类分析的DBSCAN算法识别道路黑点的方法,然后使用改进的APRiori算法参考协会规则分析数据。随后,它提出了一种新的道路交通事故的新数据挖掘模型,以找到潜在的有价值和关系法律,可以为研究所实用性培养计划和卫冕措施提供重要的参考。

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