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Implementation of Crime Prediction Algorithm based on Crime Influential Factors  

Park, Ji Ho (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Cha, Gyeong Hyeon (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Kim, Kyung Ho (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Lee, Dong Chang ((주)위니텍)
Son, Ki Jun ((주)더아이엠씨)
Kim, Jin Young (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Publication Information
Journal of Satellite, Information and Communications / v.10, no.2, 2015 , pp. 40-45 More about this Journal
Abstract
In this paper, we proposed and implemented a crime prediction algorithm based upon crime influential factors. To collect the crime-related big data, we used a data which had been collected and was published in the supreme prosecutors' office. The algorithm analyzed various crime patterns in Seoul from 2011 to 2013 using the spatial statistics analysis. Also, for the crime prediction algorithm, we adopted a Bayesian network. The Bayesian network consist of various spatial, populational and social characteristics. In addition, for the more precise prediction, we also considered date, time, and weather factors. As the result of the proposed algorithm, we could figure out the different crime patterns in Seoul, and confirmed the prediction accuracy of the proposed algorithm.
Keywords
Big Data; Crime Pattern; Crime Prediction; Bayesian Network; Bayesian Prediction;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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