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Analysis of relationship between frequency of crime occurrence and frequency of web search

범죄 발생 빈도수와 웹 검색 빈도수의 관계 분석 연구

  • 박정민 (공주대학교 컴퓨터공학과) ;
  • 박구락 (공주대학교 컴퓨터공학과) ;
  • 정영석 (공주대학교 컴퓨터공학과)
  • Received : 2017.03.06
  • Accepted : 2018.05.20
  • Published : 2018.05.28

Abstract

In modern society, crime is one of the major social problems. Crime has a great impact not only on victims but also on those around them. It is important to predict crimes before they occur and to prevent crime. Various studies have been conducted to predict crime. One of the most important factors in predicting crime is frequency of crime occurrence. The frequency of crime is widely used as basic data for predicting crime. However, the frequency of crime occurrence is announced about 2 years after the statistical processing period. In this paper, we propose a frequency analysis of crime - related key words retrieved from the web as a way to indirectly grasp the frequency of crime occurrence. The relationship between the number of frequency of crime occurrence and frequency of actual crime occurrence was analyzed by correlation coefficient.

현대사회에서 범죄는 큰 사회문제 중의 하나이다. 범죄는 피해자뿐만 아니라 피해자 주변인들에게도 큰 영향을 미친다. 범죄는 발생하기 전에 예측하여 범죄 발생을 막는 것이 중요하다. 범죄를 예측하기 위한 다양한 연구가 진행되었다. 범죄 예측에 중요한 요소 중에 하나가 범죄 발생 빈도수 이다. 범죄 발생 빈도수는 범죄를 예측하는 분야의 기본 데이터로 많이 사용되고 있다. 그러나 범죄 발생 빈도수는 통계처리기간을 거쳐 약 2년 뒤에 발표된다. 본 논문은 범죄 발생 빈도수를 간접적으로 파악할 수 있는 방법으로 웹에서 검색되는 범죄 관련 키워드의 빈도수 분석을 제안한다. 범죄 발생 빈도수의 키워드와 실제 범죄 발생빈도수의 관계를 상관 계수로 분석하여 관련이 있음을 확인하였다.

Keywords

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