An Analysis of Data Mining Applications in Crime Domain

This paper gives comprehensive surveys of efficient and effective methods/techniques on data mining for crime data analysis. These techniques aim at finding the illegal activities of professional identity fraudsters based on knowledge discovered from their own histories. The paper also raises some problems of applied data mining in crime control and criminal suppression. It is known that detecting crime from data analysis can be difficult because daily activities of criminal generate large amounts of data and stem from various formats. In addition, the quality of data analysis depends greatly on background knowledge of analyst.