본문 바로가기
  • Home

A study to Predictive modeling of crime using Web traffic information

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2015, 20(1), pp.93-101
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

박정민 1 Young-Suk Chung 1 park koo rack 1

1공주대학교

Accredited

ABSTRACT

In modern society, various crimes is occurred. It is necessary to predict the criminal in order toprevent crimes, various studies on the prediction of crime is in progress. Crime-related data, is announcedto the statistical processing of once a year from the Public Prosecutor's Office. However, relative to thecurrent point in time, data that has been statistical processing is a data of about two years ago. It does notfit to the data of the crime currently being generated. In This paper, crime prediction data was apply with Naver trend data. By using the Web traffic Navertrend, it is possible to obtain the data of interest level for crime currently being generated. It was constructed a modeling that can predict the crime by using traffic data of the Naver web search. Therehave been applied to Markov chains prediction theory. Among various crimes, murder, arson, rape,predictive modeling was applied to target. And the result of predictive modeling value was analyzed. As aresult, it got the same results within 20%, based on the value of crime that actually occurred. In thefuture, it plan to advance research for the predictive modeling of crime that takes into the characteristicsof the season.

Citation status

* References for papers published after 2022 are currently being built.