In order to uncover the criminal gang

an approach of Crime Network Analysis based on association data model is proposed. The proposed method can discover all the members of a gang when a certain member is known

and it can also generate all the gangs based on known data source even none of the members are known. Especially

different models can be combined together to excavate the crime network. Experiments are executed based on the data of “communication” and “transfer” during 6 months. The  results show that the proposed algorithm can demonstrate criminal gang no matter its members are known or not

and the same occurs as combining different models.