CRIME DETECTION USING DATA MINING

Abstract

The advancement of new technologies can also lead to criminal misuse. Crime prediction is a systematic approach for identifying and analysing patterns and trends in crime. Our system can predict regions which have high probability for crime occurrence and can visualize crime prone areas. With the increasing advent ol computerized systems, crime data analysis can help the Law enlorcemenl olliceis to speed up the process of solving crimes. Using the concept ol data mining extract previously unknown, useful information from an unstructured data, lleie we and criminal justice to develop a data faster. Instead of focusing on causes of we can have an approach between computer science mining procedure that can help solve crimes like criminal background of offender, political enmity etc. we are crime occurrence focusing mainly on crime factors of each day. Using the Data mining tool we can predict the crime in particular area by analysing algorithm K-means algorithm based on their means. This easy to implement the previous data of crime in that area using the K -means is done by partitioning data into groups data mining framework works with the geospatial plot of crime and helps to improve the productivity ofthe detectives and other law enforcement officers.