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Application of Data Mining Techniques in the Analysis of Fire Incidents

机译:数据挖掘技术在火事故分析中的应用

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In recent years, the number of fire accidents decreased slowly, but the losses due to fire accident is still enormous every year. Under this circumstances, with the combination of data mining, data analysis and accident analysis theory, Microsoft SQL Server business intelligence components was used to perform data mining and implement the fire accident cases and data analysis with four commonly used algorithms-cluster analysis, association rules, time series and decision tree. Data mining is aiming to provide a reference on the application methods in analysis of incidents, and has a certain academic value and practical significance in the analysis of the data processing and information on fire accident.
机译:近年来,火灾事故数量缓慢下降,但每年火灾事故导致的损失仍然巨大。在这种情况下,随着数据挖掘,数据分析和事故分析理论的组合,使用Microsoft SQL Server商业智能组件来执行数据挖掘并实现火灾事故案例和数据分析,并使用四种常用的算法集群分析,关联规则进行关联规则,时间序列和决策树。数据挖掘旨在为分析事故分析提供申请方法的参考,在消防事故的数据处理和信息分析中具有一定的学术价值和现实意义。

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