Investigation on the Construction of Urban Intelligent Emergency Management System Based on Data Mining Technology

Urban management is one of the most prominent problems in modern and contemporary social governance. With scale city, flow industries population becomes larger larger, city takes on more risks emergencies. In order to minimize losses prevent advance, early drills are often best way This paper aims use data mining technology design a smart emergency system achieve role warning time response events. this, this proposes EIM-DS algorithm, an optimized algorithm based high-utility itemset mining. improves threshold setting classification method, which greatly develops execution efficiency algorithm. addition, intelligent also designed optimization The focuses analyzing enterprise data, command data. combination three can evaluate entire city. experimental results prove that calculation about 50% lower than other algorithms under different datasets, has better efficiency, run smoothly through black-box white-box experiments.