Abstract:
Analysis of crime is a methodological approach to the identification and assessment of
criminal patterns and trends. In a number of respects cost our community profoundly. We
have to go to many places every day for our daily purposes and many times in our everyday
lives we face numerous safety problems such as hijack, kidnapping, harassment, etc. In
general, we see that when we need to go anywhere at first, we are searching for google
maps, google maps show that one, two, or more ways to get to the destination, but we always
choose the shortcut route, but we don't understand the path situation correctly. Is it really
secure or not that's why we face many unpleasant circumstances, in this job we use different
clustering approaches of data mining to analyzing the crime rate of Bangladesh and us
also used K-Nearest Neighbor(KNN) algorithm to train our dataset, For our job, we are
using main and secondary data, By, analyzing the data, we find out for many places the
prediction rate of different crime and use the algorithm to determine the prediction rate of
the path. Finally, to find out our save route, we use the forecast rate. This job will assist
individuals become aware of the crime area and discover their secure way to the
destination.
