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구분 SCI
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학술대회 Design and Performance Evaluation of Crime Type and Crime Risk Score Estimation Technique for Fast and Efficient Response of Severe Crimes
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백명선, 이용태, 장광호, 이희조, 박원주
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1826-1828
20HR3300, 위험 상황 초기 인지를 위한 ICT 기반의 범죄 위험도 예측 및 대응 기술 개발, 이용태
In this paper, the machine learning-based estimation technique of crime types and crime risk score is introduced. For development of the estimation technique, the system platform of the introduced technique is also implemented. To predict the crime risk score, crime risk score equation is designed based on the crime severity and degree of damage, and numerical crime risk score is applied to each criminal case. For the crime types and crime risk score estimation, virtual police security data is considered. The data form is the same as the KICS data form. Using the proposed technique and implemented system platform, police can obtain efficient information in the first stage of criminal case reception.
KSP 제안 키워드
Estimation Technique, First stage, Learning-based, Performance evaluation, Risk score, Score estimation, machine Learning, security data