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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2014, 19(12), pp.309-317
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

방승환 1 김태훈 1 조현보 1

1포항공과대학교

Accredited

ABSTRACT

Recently, crime prediction and prevention are the most important social issues, and global and localgovernments have tried to prevent crime using various methodologies. One of the methodologies, datamining 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 crimecomponents 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 datamining and crime environment factors. As a result, there were differences in the crime environment causedby each cluster. Finally, we showed the meaning of data mining use at crime prediction and preventionarea in terms of criminology.

Citation status

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