CRIME DATA ANALYSIS USING MACHINE LEARNING

Abstract

In India, the crime rate is increasing each day. In the current situation, recent technological influence,
effects of social media and modern approaches help the offenders to achieve their crimes. Both analysis
and prediction of crime is a systematized method that classifies and examines the crime patterns. There
exist various clustering algorithms for crime analysis and pattern prediction but they do not reveal all the
requirements. The proposed research work mainly focused on predicting the region with higher crime
rates and age groups with more or less criminal tendencies. The criminal cases in India are increasing
rapidly due to which number of cases pending are also piling up. This continuous increase in the criminal
cases is proving to be difficult to be classified and to be solved. Recognizing the criminal activity patterns
of a place is important in order to prevent it from happening. The crime solving agencies can do a better
work if they have a good idea of the pattern of criminal activities that are happening in a particular area.
This can be done by using machine learning by employing different algorithms to find the patterns of the
criminal activities in a particular area. Uses crime data set and predicts the types of crimes in a particular
area which helps in speeding up the classification of criminal cases and proceed accordingly.