CRIME: CLASSIFICATION AND PATTERN PREDICTION

Abstract: In the present era of information age, access to a variety of information is easy which has resulted in a rampant increase in crime rate. Criminals are using technology for improving the traditional crime modus operandi. Though law enforcers have knowledge of the misuse of such technology but they are lagging behind in adapting to technology to curb crime. Hence, there is a huge difference in adapting to technology between the two, criminals and law enforcement agencies. In order to reduce the crime rate, there is a need to analyse crime and prevent those crimes. In this paper, we describe a system to analyse crime and how we are going to increase the accuracy of crime prediction to prevent crime. We consider various crime factors to accurately predict crime if a similar crime pattern is observed.

Keywords: Naive Bayes classifier, Apriori Algorithm, Decision Tree, Mongo DB, Web Crawler, Crime Class, Crime Factors.