Feature-Filtering Data-Mining Algorithm for Urban Waterlogging Path Optimization in Extreme Weather
Wei Zhong, Youdong Zhang · Advances in engineering research/Advances in Engineering Research · 2017
Abstract：Good personnel hedge scheme which can reduce the negative effects of urban waterlogging disaster is one of the effective ways and scientific means to improve the level of urban municipal management.Strong randomicity is the characteristics of stormwater runoff route under city extreme weather , this paper analyzes the characteristics and takes the dull phenomenon of traditional hedging model into account under random emergencies in extreme weather .An urban waterlogging personnel hedge mechanism is proposed based on feature selection data mining route decision making model.The flow path of urban waterlogging region is added into the model.Clustering method is used to optimize the extreme weather urban waterlogging personnel hedge path characteristics.Then the optimal data mining decision support analysis model is constructed and a personnel hedge path of urban waterlogging disaster is concluded.