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A Study on the Applicability of Data Mining for Crime Prediction : Focusing on Burglary
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A Study on the Applicability of Data Mining for Crime Prediction : Focusing on Burglary
Bang, Seung-Hwan; Kim, Tae-Hun; Cho, Hyun-Bo;
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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.
Crime prediction;Data mining;Criminology;Crime environment;
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