Crime Analysis using Data Mining

Data mining is technology of computer science. It is the process of identifying the large amount of data sets using various methods. Criminology is an area that focuses the scientific study of crime and criminal behavior and is a process that aims to identify crime characteristics. It is most essential fields where application of data mining techniques can produce useful results. Crime analysis is a methodical approach for identifying and analyzing patterns and trends in crime. With the increasing origin of computerized systems, crime data analysts can help the Law enforcement officers to speed up the process of solving crimes. Using the concept of data mining, we can analysis previously unknown, useful information from an unstructured data. Predictive policing means using analytical and predictive techniques to identify criminal and it has been found to be pretty much effective in doing the same. Because of the increased crime rate over the years, we will have to handle a huge amount of crime data stored in warehouses which would be very difficult if it has to be analyzed manually, and also in now a day’s criminals are becoming technologically advance, so there is need to use advance technologies in order to keep police ahead of them. In this paper the main focus is on the review of some algorithms and techniques used for identify the criminals.