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Exploratory Study on Crime Prevention based on Bigdata Convergence - Through Case Studies of Seongnam City -

빅데이터 융합 기반 범죄예방에 관한 탐색적 연구 - 성남시 사례 분석을 통해 -

  • Choi, Min-Je (Dept. of Business Administration, Sunmoon University) ;
  • Noh, Kyoo-Sung (Dept. of Business Administration, Sunmoon University)
  • Received : 2016.09.29
  • Accepted : 2016.11.20
  • Published : 2016.11.28

Abstract

In recent years, various crimes such as "random killing' crime continue to rise. Despite the government's crime prevention efforts and crime related researches, crime increases and a different approach is needed. Therefore, this study proposes the alternative for crime prevention by analyzing big data. To achieve this objective, this study was to perform visualization utilizing the histogram, the bubble chart and the hit map and association analysis. To analyze the relationship between crime and some variables, this study analyzed data of Seongnam city, Korea National Police Agency and etc. The results of analysis showed that CCTV will be to reduce the crime rate and security light is not significantly relevant. And the result showed that other types of crime focused by time of the day and day of the week and showed that an increase of the foreigners and crime increase are associated. This study presents a scheme for reducing the crime rate on the basis of this analysis result.

Keywords

Big Data;Crime prevention;CCTV;Security light;Foreigner increase

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