Using linear regression to forecast future trends in crime of Bangladesh

Md. Abdul Awal, Jakaria Rabbi, Sk Imran Hossain, M. M. A. Hashem

Abstract: Crime is basically unpredictable and a social disturbance. With the increase in population of Bangladesh, the rate of crime is also increasing and affecting our society fatally in various ways. So it has become significant to analysis crime data for better understanding of future crime trends. In this case, machine learning and data mining techniques can play a significant role to discover future trends and patterns of crime. In this paper, linear regression model is used to forecast future crime trends of Bangladesh. The real dataset of crime is collected from the website of Bangladesh police. Then the linear regression model is trained on this dataset. After training the model, crime forecasting is done for dacoit, robbery, murder, women & child repression, kidnapping, burglary, theft and others for different region of Bangladesh. This work may be helpful for Bangladesh police and law enforcement agencies to forecast, prevent or solve future crime of Bangladesh.