Crime analysis and prevention is a
systematic approach for identifying and analyzing patterns
and trends in crime. The system can predict regions which
have high probability for crime occurrence and can
visualize crime prone areas. With the increasing advent of
computerized systems, crime data analysts can help the
Law enforcement officers to speed up the process of
solving crimes. Using the concept of data mining, real time
and location data, the system can extract unknown, useful
information from an unstructured data. Here we have an
approach between computer science and criminal justice
to develop a data mining, real time and location data
procedure that can help solve crimes faster. Instead of
focusing on causes of crime occurrence like criminal
background of offender, political enmity etc. we are
focusing mainly on crime factors of each day. To have a
better response towards criminal activity, it is very
important that one should understand the patterns in
crime. I analyses these patterns by taking crime datasets
from the Nigeria Police zone six (6) Calabar, Cross River
State and town planning bodies. This dataset includes
different streets of the city of Calabar. The major aim of
this mission is to expect which category of crime is most
probably to take place at a detailed time and places in Calabar.
AN OVERVIEW OF CRIME ANALYSIS, PREVENTION AND PREDICTION USING DATA MINING BASED ON REAL TIME AND LOCATION DATA
