Crime analysis and Prediction using Neural Networks

Data Mining plays a prominent role in crime analysis. The criminal analysis requires quantitative and qualitative data blend with analytical methods which help the police & crime department to sort out cases. Crime analysis is an important area to focus on public safety. We can resolve crime cases much easier with the help of data mining techniques. There are several algorithms accessible for Data analysis and Data prediction such as Naïve Bayes, Random Forest. In this regard, In the Proposed practice, we have applied Neural Network algorithm to simplify the process and to get better outcomes. In crime prediction analysis, we have used the following steps: 1) Collecting of crime Dataset 2) Preprocessing the data 3) Analysis 4) Prediction. Crime prediction analysis using data mining helps to understand the conception and applications of Crime Analysis in aid the police and assist to reduce, prevent, trace crimes quickly and crime disruption.