A Study of the Prediction of Crime to Time Variation using Markov Chain
Young-Suk Chung · JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE · 2011
A Modern society is experiencing a variety of crimes, and to prevent crime is being studied. Existing studies related to the crime of crimes that occur on spatial analysis and geographic information, or to analyze the type of criminal offense of studies have been conducted. However, the existing study of the geographical and psychological crime that occurs throughout the study area and by analyzing the motives for the crime prevention research is the most. In this paper, we introduce Markov processor model for predicting the crime is present. Of several crimes, murder, government official crimes, the incidence of violent crime has occurred over time by using the predicted incidence of crime. Presented in this paper, predictive modeling is used in a crime occurred in the average duration of the overall average number of crimes that occurred in the one-year average, which recently labeled as the average prediction was compared to if you can increase the likelihood, recent average to apply to increase the probability of the prediction that crime have been investigated.