NDLI: Multi-dimension data model for emergency event and analysis of similarity

Content Provider	IEEE Xplore Digital Library
Author	Wang En-yan Li Xiang-yang
Copyright Year	2011
Description	Author affiliation: School of Management, Harbin Institute of Technology, Harbin, China (Wang En-yan; Li Xiang-yang)
Abstract	In the analysis of the features of emergency decision and emergency decision support system it can find that the effective application of emergency decision and support systems must rely on the specific models and methods to achieve high efficiency and scientific decision in a short time because of the specific decision requirements and decision environment. Events retrieval is based on similarity theory in general, and it finds similar events by calculating the similarity, so as to provide reference for decision-making. Based on in-depth research of the conception and characteristics of the emergencies it proposed a multidimensional data model in this paper that divided the event attributes into different type, structured and unstructured. The model calculated attributes similarity according to different types, further analysis of the events similarity.
Starting Page	215
Ending Page	218
File Size	119390
Page Count	4
File Format	PDF
ISBN	9781424499854
e-ISBN	9781424499847
DOI	10.1109/URKE.2011.6007874
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-04
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Computational modeling Similarity Fires Multidimensional data model Maintenance engineering Emergencies Data models Cognition Accidents
Content Type	Text
Resource Type	Article

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