  In this paper, we present a method of crime analysis from open source
information. We employed un-supervised methods of data mining to explore the
facts regarding the crimes of an area of interest. The analysis is based on
well known clustering and association techniques. The results show that the
proposed method of crime analysis is efficient and gives a broad picture of the
crimes of an area to analyst without much effort. The analysis is evaluated
using manual approach, which reveals that the results produced by the proposed
approach are comparable to the manual analysis, while a great amount of time is
saved.
