基于Web挖掘的城市群众恐慌应急管理测量与监测模型

Minglu Li, An Chen
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引用次数: 5

摘要

当城市发生突发事件时,及时发现群体性恐慌是非常重要的。传统的方法是在城市人群中进行调查,这将花费大量的时间和金钱。我们认为,更合适和有效的方法是进行基于网络的调查,包括发现、测量和监控。提出了一个包含信息检索、数据挖掘和领域知识分析的框架。城市群体性恐慌的测度模型有10多个指标,涵盖了最相关的网站,包括门户网站、论坛、BBS和其他互动网站。文章最后对实验结果进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Web Mining Based Measurement and Monitoring Model of Urban Mass Panic in Emergency Management
It is very important to discover the mass panic when city is in emergency. A traditional approach is to do a survey among urban mass, which would cost much time and money. In our opinion, a more suitable and effective approach is to do Web-based investigation which includes discovery, measurement, and monitoring. A framework including information retrieval, data mining, and area knowledge analysis is presented. Great efforts have been put to the urban mass panic measurement model in terms of over 10 indicators which have covered most relevant Web sites, consisting of portal, forums, BBS and other interactive Web sites. Experimental results are discussed at the end of the article.
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