Witness Based Criminal Identification Using Data mining Techniques and New Gaussian Mixture Model
نویسندگان
چکیده
The crime history in the recent past has increased drastically, and the tendency towards the crime is also an upheaval task. Therefore to combat the crime, effective technologies are to be provided as supportive to the law enforces. Data mining concepts prove to be very useful in this direction. A major uplift in the direction of crime identification is direct evidence, which can be of crucial concern by which plausible conclusions can be drawn. Identifying the criminal by means of forensics reports is seemingly difficult. This paper introduces a novel methodology of criminal mapping based on forensics using the concepts of Data mining and New Gaussian Mixture model.
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