• DocumentCode
    3128006
  • 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
  • Volume
    2
  • fYear
    2011
  • fDate
    4-7 Aug. 2011
  • Firstpage
    215
  • Lastpage
    218
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/URKE.2011.6007874
  • Filename
    6007874