Research on Aided Decision-making System based on Data Mining for Disaster of Storm Tide

  • Authors:
  • Yanling Han;Shouqi Cao;Yun Zhang

  • Affiliations:
  • College of Information, Shanghai Ocean University, Shanghai, China, 021-61900622;College of Engineering & Technology, Shanghai University, Shanghai, China, 021-61900822;College of Information, Shanghai University, Shanghai, China, 021-61900622

  • Venue:
  • Proceedings of the Second International Conference on Innovative Computing and Cloud Computing
  • Year:
  • 2013

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Abstract

Aiming at aided decision-making problem in complex environment, combining the characteristic of relevant data for storm tide, such as complexity, pertinency and multi-source, the aided decision-making system architecture based on data mining for disaster of storm tide was researched; the key technology of system such as GIS and event series frequency episode discovery and four-base cooperation mechanism were analyzed; the data mining methods adopted by system were given from the following ways, such as storm tide forecasting method, disaster evaluation model, resource optimum scheduling and vehicle route planning, and so on. Finally, taking Lingang new city as application example, we applied these methods into forecasting, disaster evaluation and disaster alleviation countermeasure prevention systems in order to provide decision-making support.