Title :
A Web Mining Based Measurement and Monitoring Model of Urban Mass Panic in Emergency Management
Author :
Li, Minglu ; Chen, An
Author_Institution :
Inst. of Policy & Manage., Chinese Acad. of Sci., Beijing
Abstract :
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.
Keywords :
Internet; data mining; emergency services; information retrieval; Web based monitoring model; Web mining based measurement; area knowledge analysis; data mining; emergency management; information retrieval; urban mass panic; Cities and towns; Conference management; Data mining; Disaster management; Fuzzy systems; Knowledge management; Monitoring; Polarization; Psychology; Web mining; Emergency Management; Measurement and Monitoring Model; Urban Mass Panic; Web Mining;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Jinan Shandong
Print_ISBN :
978-0-7695-3305-6
DOI :
10.1109/FSKD.2008.495