Title :
Multi-dimension data model for emergency event and analysis of similarity
Author :
En-yan, Wang ; Xiang-yang, Li
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
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.
Keywords :
data mining; decision support systems; attributes similarity; emergency decision support system; emergency event; events retrieval; multidimension data model; similarity analysis; Accidents; Analytical models; Cognition; Computational modeling; Data models; Fires; Maintenance engineering; Emergencies; Similarity; multidimensional data model;
Conference_Titel :
Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-9985-4
Electronic_ISBN :
978-1-4244-9984-7
DOI :
10.1109/URKE.2011.6007874