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Data Mining and Visualization of Grid-Based City Emergency System

机译：基于网格的城市应急系统的数据挖掘与可视化

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摘要

A cluster analyzing algorithm based on grids is introduced in this paper, which is applied to data mining in the city emergency system. In the previous applications, data mining was based on the method of analyzing points and lines, which was not efficient enough in dealing with the geographic information in units of police areas. The proposed algorithm maps an event set stored as a point set to a grid unit ,set, utilizes the cluster algorithm based on grids to find-out all the clusters, and shows the results in the method of visualization. The algorithm performs well when dealing with high dimensional data sets and immense data. It is suitable for the data mining based on geographic information system and is supportive to decision-makings in the city emergency system.
机译：介绍了一种基于网格的聚类分析算法，将其应用于城市应急系统中的数据挖掘。在以前的应用程序中，数据挖掘是基于分析点和线的方法，这种方法在处理警察区域内的地理信息时效率不高。提出的算法将存储为点集的事件集映射到网格单元，集，利用基于网格的聚类算法找出所有聚类，并以可视化的方法显示结果。该算法在处理高维数据集和海量数据时表现良好。它适用于基于地理信息系统的数据挖掘，并支持城市应急系统中的决策。

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