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Crisis Management Analysis of Foot-and-Mouth Disease Using Multi-dimensional Data Cube

다차원 데이터 큐브 모델을 이용한 구제역의 위기 대응 방안 분석

  • Received : 2017.02.13
  • Accepted : 2017.02.28
  • Published : 2017.05.28

Abstract

The ex-post evaluation of governmental crisis management is an important issues since it is necessary to prepare for the future disasters and becomes the cornerstone of our success as well. In this paper, we propose a data cube model with data mining techniques for the analysis of governmental crisis management strategies and ripple effects of foot-and-mouth(FMD) disease using the online news articles. Based on the construction of the data cube model, a multidimensional FMD analysis is performed using on line analytical processing operations (OLAP) to assess the temporal perspectives of the spread of the disease with varying levels of abstraction. Furthermore, the proposed analysis model provides useful information that generates the causal relationship between crisis response actions and its social ripple effects of FMD outbreaks by applying association rule mining. We confirmed the feasibility and applicability of the proposed FMD analysis model by implementing and applying an analysis system to FMD outbreaks from July 2010 to December 2011 in South Korea.

Keywords

Foot-and-Mouth Disease;Crisis Management;On-line News Analysis;Data Cube;Association Rule Mining

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Acknowledgement

Supported by : 한국연구재단