Crime Analysing and Management System for Sri Lankan Police

Abstract

The prediction of the grave crimes shows that the security agencies and police departments must bear a high burden of the criminals in larger numbers than the past, because of the increasing number of crimes and criminals in Sri-Lanka. The continuous trend of crime management was very tedious and manual crime recording and investigating system has resulted inefficient crime analysis. Therefore, the analysis of crime data has become a huge burden for the crime officers and investigators who handle the records and investigates. This paper presents an efficient method to analyse and manage the crime records which are collected from the web-users, historical records, websites and news sites. Using the concept of data mining we can extract previously unknown, useful information from an unstructured data. Here we have a clear approach among computer science and criminal justice to develop a procedure of data mining that can help to solve crimes faster. Crime Analysis and Management System (CAMS) will provide better prospective for the enhancement of security agencies regarding the quality and transparency. Finally, this paper to show the interest of not only to those working on related systems but also to those with a general interest in how advanced software technologies can be applied to national security agencies for their challenging application areas