Criminals and crime hotspot detection using data mining algorithms: clustering and classification
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 10
Abstract
Criminal activities have been increased tremendously. So security has become a major issue to the people. The control actions should be taken by the police department. The police department has to take corrective actions for reducing the criminal activities. To analyze the criminals' data, clustering and classification techniques are used. These data will be stored in the criminals' database. Spatial clustering algorithm and structured crime classification are used to classify the criminal activities. These algorithms help to identify the hotspot of criminal activities. Criminals will be identified based on the witness or clue at the crime spot. The identification of hotspot of criminals' activities will help the police department to provide more security to the particular area, this helps to prevent crimes in future. When we apply this concept to all areas at least we can reduce criminal activities. Completely the crimes cannot be controlled. In this paper we find the hotspot of the criminal activities and finding the criminals by using clustering and classification algorithms.
Authors and Affiliations
Sukanya. M , T. Kalaikumaran , Dr. S. Karthik3
Keywords
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