Crime Analysis and Prediction Using Big Data

Abstract

Big data involves large-scale storage and processing of large data sets. Crime analysis and prevention is a systematic approach for identifying and analyzing patterns and trends in crime. It can predict regions which have high probability for crime occurrence and can visualize crime prone areas. The use of frequent pattern mining with association rule mining to analyze the various crimes done by a criminal and predict the chance of each crime that can again be performed by that criminal. This analysis may help the law enforcement of the country to take a more accurate decision or may help in safeguarding an area if a criminal released on bail is very much likely to perform crime. Apriori algorithm with association rule mining technique to achieve the result.