JOURNEYING THEMES OF DATA MINING IN FELON AND LAW ENFORCEMENT AGENCY PROFILING

Apexa Lalitbhai Joshi, Suresh M. B

Abstract: Crimes are social nuisance and cost our society badly in several ways. Duties of federal agencies like federal and central bureau of investigation (FBI and CBI), police is to maintain law and order into countries crimes analysis and visualization mainly poor in the Indian police force. The reason behind that is poor and unclean data, missing electronic data is a common phenomenon in the developing countries like India. Police often have vast amount of least utilized crime data in the form of FIR (First Information Report) and subsequent inquiries reports of the particular case registered. If we analyzed reports could give us useful information to help in predicting the crime like crime committing trends, hidden information. To boost the efforts of police force we can use advance technology aspects of data mining for finding information and for visualizing in effective manner we apply GIS. In this paper if crime data is stored in computerized format then we will analyzed how data mining agencies in tracking the activities of criminals. But in developing country like India the major problem is unavailability of criminal data. Criminal or suspect data is not well documented. Once we have data in electronic techniques we are able to get analyzed data and statics more accurate when compare to manual system. In this paper were discuss the loo holes of existing system in India and purpose a new practical model that will provide us with efficiency, accuracy, drop in crime rate , suspect reorganization and provide us better society to live. It is possible with mathematical prediction and data mining techniques for analyzing and visualization

Keywords: Knowledge discovery in database, crime, police, data mining prediction, GIS, hotspot, spatial analysis, finite differences

DOI: https://doi.org/10.15623/ijret.2015.0405110