Crime Data Mining: An Overview and Case Studies

The concern about national security has increased significantly since the 9/11 attacks. However, information overload hinders the effective analysis of criminal and terrorist activities. Data mining applied in the context of law enforcement and intelligence analysis holds the promise of alleviating such problems. In this paper, we review crime data mining techniques and present four case studies done in our ongoing COPLINK project.

• Type: Conference
• Year: 2003
• Where: DGO
• Authors: Hsinchun Chen, Wingyan Chung, Yi Qin, Michael Chau, Jennifer Jie Xu, Gang Wang, Rong Zheng, Homa Atabakhsh
• Keywords: Crime Data Mining, Data Mining, DGO 2003, DGO 2007, Ongoing Coplink Project