Combating Terrorism Using Enhanced K-Means Clustering Algorithm

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Data mining can be used to model crime detection problems, detect unusual patterns, terrorist activities and fraudulent behavior. Crimes are a social nuisance and cost their society dearly in several ways. Any research that can help in solving crimes faster will pay for itself. Here the authors look at use of clustering algorithm for a data mining approach to help detect the crimes patterns and speed up the process of solving crime. They will look at k-means clustering with some enhancements to aid in the process of identification of crime patterns.
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