Application of data mining techniques in the analysis of fire incidents

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Abstract

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. © 2012 Published by Elsevier Ltd.

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APA

Zhang, D., & Jiang, K. (2012). Application of data mining techniques in the analysis of fire incidents. In Procedia Engineering (Vol. 43, pp. 250–256). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2012.08.043

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