Law enforcement agencies which are represented in the police today are faced with large volume of data that must be processed and transformed into useful information and hence data mining can greatly improve crime analysis and aid in reducing and preventing crime as much as possible. Crime reports and data are used as an input for the formulation of the crime prevention policies and strategic plans. This work will apply some data mining methods to analyses Libyan national criminal record data to help the Libyan government to make a strategically decision regarding prevention the increasing of the high crime rate these days. The data was collected manually from Benghazi, Tripoli, and Al-Jafara Supremes Security Committee (SSC). A comparative study will be conducted with a recent model used in the Federal Bureau of Investigation (FBI) to detect and classify the major personality and behavioral characteristics of an individual based upon analysis of the crime or crimes the person committed. Our proposed model will be able to extract crime patterns by using association rule mining and clustering to classify crime records on the basis of the values of crime attributes.