期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2017
卷号：6
期号：4
页码：489-494
出版社：IJCSN publisher
摘要：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.
关键词：Data Mining; Crime Forecasting; Linear Regression; Gradient Descent;
