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Feature specific criminal mapping using data mining techniques and generalized gaussiun mixture model

In this paper, presents a model using new methodology for mapping the criminal with the crime. This model clusters the criminal data basing on the type crime. When a crime occurs, based on the eye witness specified features, the criminal is mapped. Here we propose a novel methodology that uses q to map the features specified by the eyewitness with that of the features of the criminal who have committed the same type of the crime, if the criminal is not mapped, the suspect table is checked and the reports are generated. | ISSN:2249-5789 Uttam Mande et al, International Journal of Computer Science & Communication Networks,Vol 2(3), 375-379 FEATURE SPECIFIC CRIMINAL MAPPING USING DATA MINING TECHNIQUES AND GENERALIZED GAUSSIUN MIXTURE MODEL Uttam Mande Dept of CSE GITAM University Visakhapatnam mineuttam@gmail.com Y.Srinivas Dept of IT GITAM University Visakhapatnam sriteja.y@gmail.com J.V.R.Murthy Dept of CSE J.N.T.University Kakinada mjonnalagedda@gmail.com Abstract: Lot of research is projected to map the criminal with that of crime and it is observed that there is still a huge increase in the crime rate due to the gap between the optimal usage of technologies and investigation. This has given scope for the development of new methodologies in the area of crime investigation using the techniques based on data mining, image processing, forensic, and social mining. In this paper, presents a model using new methodology for mapping the criminal with the crime. This model clusters the criminal data basing on the type crime. When a crime occurs, based on the eye witness specified features, the criminal is mapped. Here we propose a novel methodology that uses Generalized Gaussian Mixture Model to map the features specified by the eyewitness with that of the features of the criminal who have committed the same type of the crime, if the criminal is not mapped, the suspect table is checked and the reports are generated. Key words: Data mining, Generalized Gaussian Mixture model, Crime, criminal mapping, criminal identification, forensics. 1. Introduction With the quest towards luxurious life, people to fulfill their ambitions are getting themselves indulged towards the crime and criminal activities. The national crime record bureau states that, there are nearly 230000 crimes which occurred upto 2010, The Governments is working rigorously towards the steps to be taken to decrease the crime rate, using 1) Prevention of the crime occurrence 2) Finding the accused and .