Data Mining in Crime Analysis

Abstract

Crimes are a worldwide problem that can harm the nation under both social and economic conditions. Crime control is an inescapable step. It is compulsory for the welfare and sustainable development of a nation. We know very well that in the digital world, it is not an easy task to expose the criminals and the vulnerable areas that are continuously getting affected by their wrongdoings. The police departments of every nation are also continuously working in a paced manner to overcome the crimes, criminals and their techniques. The difficulty in investigating a large amount of data regarding crimes and criminals has become a major challenge for police department officials. An approach is needed that can classify, systematically investigate and forecast the crimes that help to reduce the crime rate. There are various methodologies and paradigms which will help police officials to discover and eliminate crimes from society. Data mining empowers us with several practical and convenient ways to assess large and distinct sets of information. It helps to uncover hidden information from the large database of criminal records for investigating, controlling and preventing crime for organizations and users. Various researchers and data analysts gave their valuable time and knowledge to the field of data mining. The paper focuses primarily on presenting a short and snappy overview of various research papers focused on the techniques of data mining that have been applied in crime analysis.