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A Study on the Applicability of Data Mining for Crime Prediction : Focusing on Burglary
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범죄예측에서의 데이터마이닝 적용 가능성 연구 : 절도범죄를 중심으로

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Type
Academic journal
Author
Seung-Hwan Bang (포항공과대학교) Tae-Hun Kim (포항공과대학교) Hyun-Bo Cho (포항공과대학교)
Journal
The Korean Society Of Computer And Information Journal of the Korea Society of Computer and Information Vol.19 No.12 KCI Accredited Journals
Published
2014.12
Pages
309 - 317 (9page)

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A Study on the Applicability of Data Mining for Crime Prediction : Focusing on Burglary
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Abstract· Keywords

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Recently, crime prediction and prevention are the most important social issues, and global and local governments have tried to prevent crime using various methodologies. One of the methodologies, data mining can be applied at various crime fields such as crime pattern analysis, crime prediction, etc. However, there is few researches to find the relationships between the results of data mining and crime components in terms of criminology. In this study, we introduced environmental criminology, and identified relationships between environment factors related with crime and variables using at data mining. Then, using real burglary data occurred in South Korea, we applied clustering to show relations of results of data mining and crime environment factors. As a result, there were differences in the crime environment caused by each cluster. Finally, we showed the meaning of data mining use at crime prediction and prevention area in terms of criminology.
#범죄예측 #데이터마이닝 #범죄학 #범죄환경 #Crime prediction #Data mining #Criminology #Crime environment

Contents

요약
Abstract
Ⅰ. 서론
Ⅱ. 범죄 발생 환경
Ⅲ. 데이터마이닝 기법
Ⅳ. 사례연구
Ⅴ. 결론
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