Criminal Data Analysis in a Crime Investigation System using Data Mining

Abstract

Crime is one of the major issues affecting our society. To handle it, we have a police system and the judiciary in place. Our paper proposes an information system that can be used to help the police effectively extract knowledge from the daily collected information. It does this with the help of two methodologies-data fusion and data mining. Data fusion manages, merges and interprets information from multiple sources and it overcomes confusion from conflicting reports and jumbled or noisy backgrounds. Data mining is used to automatically discover patterns and relationships in large databases. Our system aims to work on two objectives which are, to map crime trends and perform crime analysis and to detect the patterns in previous crimes and apply them to the current situations to find similarities. Our paper explores methods to perform these two tasks, independently.