Abstract:
Crime analysis and prevention is a systematic approach for identifying and analyzing
patterns and trends in crime. With the increasing advent of computerized systems,
crime data analysts can help the Law enforcement officers to speed up the process of
solving crimes. About 10% of the criminals commit about 50% of the crimes. Even
though we cannot predict who all may be the victims ofcrime but can predict the place
that has probability for its occurrence. Our system can predict the attributes and some
traits that will be common among the criminals. K-means algorithm is done by
partitioning data into groups based on their means. K-means algorithm has an
extension called expectation - maximization algorithm where we partition the data
based on their parameters. This easy to implement data mining framework works with
the geospatial plot ofcrime and helps to improve the productivity ofthe detectives and
other law enforcement officers. This system is designed with an attempt to implement
it in the Sindh Police Department and Citizen Police Liaison Committee (CPLC).
