| Data Mining and Visualization of Grid-Based City Emergency System |
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| 作者姓名： | 薛京生 孙液晶洲 刘牧星 张旭 何宏 |
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| 作者单位： | [1]SchoolofElectronicInformationEngineering,TianjinUniversity,Tianjin300072,China [2]TianjinUniversityofTechnology,Tianjin300191,China |
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| 基金项目： | SupportedbyTianjinProjectofTechnologyDevelopment(No.043112911). |
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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.
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| 关 键 词： | 城市应急系统 数据隐藏 分析方法 数据安全 计算机技术 信息技术TP330 |
Data Mining and Visualization of Grid-Based City Emergency System |
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| XUE Jingsheng,SUN Jizhou,LIU Muxing,ZHANG Xu,HE Hong.Data Mining and Visualization of Grid-Based City Emergency System[J].Transactions of Tianjin University,2005,11(2):125-128. |
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| Authors: | XUE Jingsheng SUN Jizhou LIU Muxing ZHANG Xu HE Hong |
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| Institution: | 1. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China
2. Tianjin University of Technology, Tianjin 300191, China |
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| Abstract: | 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 geogra-(phic) information system and is supportive to decision-makings in the city emergency system. |
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| Keywords: | grid emergency data mining visualization |
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