A Data Mining Method for Potential Fire Hazard Analysis of Urban Buildings based on Bayesian Network
Xin Liu, Yutong Lu, Zijun Xia, Li Fei-Fei, Tianqi Zhang · 2017
At present, with rapid development of China's urbanization, the population density increases, the structure of buildings become more complexity, and building materials and techniques emerge endlessly. Frequent unsafe personal behavior and complex external unsafe factors bring more uncontrollable influences on preventing and controlling fire hazard of buildings in urban area. Traditional methods of fire hazard analysis have limitations on fire hazards forecasting in complex urban areas.