Analysis of Association Rule in Fire Accidents - Evidence from Taipei City

Abstract:

Fire accidents may induce serious human casualties, building damages, and financial losses. The association rule of data mining technique was applied in this research to identify the characteristics, potential factors, and hidden relationships, that were associated with each other in the building fires of Taipei during 2007-2010. The results of this paper are insightful and can be used to assist fire officials and citizens in reducing the chance of a fire accident, as well as, in mitigating the damages of a fire hazard.

• Periodical: Advanced Materials Research (Volumes 1030-1032)
• Pages: 2407-2410
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1030-1032.2407
• Online since: September 2014
• Authors: Yu Ying Huang*, Yeng Horng Perng
• Keywords: Association Rule, Data Mining (DM), Fire Accident, Fire Incident

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