Crime Pattern Detection

Date : Oct 2017 - Jun 2018

Company: Comsats Institute of Information and Technology Tools: R-Studio , Visual Studio Crimes are a social annoyance and extremely costs our society in several ways. Historically solving crimes has been the right of the law enforcement specialists. With the increasing use of the computerized systems to track crimes, computer data analysts have started helping the law enforcement officers and detectives to speed up the process of solving crimes. Here we look at use of clustering algorithm for a data mining approach to help detect the crimes patterns and speed up the process of solving crime. We will look at k-means clustering with some enhancements to aid in the process of identification of crime patterns. We are going to collect data from datasets sites i.e. Kaggle, UCI. The approaches and methods use to avoid criminal act and facilitate with security and peace. This will allow the cyber security organizations to detect any anomaly in the directed data. AIM:- It is very difficult today to detect the cyber criminals. The system designed is targeted to criminal activities. It will help to track those people who involve in suspicious activities like terrorism, drug dealing, and human trafficking.