imran Rana - Academia.edu (original) (raw)

Uploads

Papers by imran Rana

Crime is classically unforeseeable and a social nuisance. It is not necessarily random, but neith... more Crime is classically unforeseeable and a social nuisance. It is not necessarily random, but neither does it take place consistently in space or time. In the recent past, there has been an enormous increase in the rate of crime, hence the significance of task to predict, prevent or solve the crimes. In this case, machine learning and data mining techniques can play an important 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. The dataset contains aggregated counts of different types of crime. 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 and theft for different region of Bangladesh.

Crime is classically unforeseeable and a social nuisance. It is not necessarily random, but neith... more Crime is classically unforeseeable and a social nuisance. It is not necessarily random, but neither does it take place consistently in space or time. In the recent past, there has been an enormous increase in the rate of crime, hence the significance of task to predict, prevent or solve the crimes. In this case, machine learning and data mining techniques can play an important 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. The dataset contains aggregated counts of different types of crime. 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 and theft for different region of Bangladesh.

Log In