Crime data mining: an overview and case studies

Authors:
Hsinchun Chen;Wingyan Chung;Yi Qin;Michael Chau;Jennifer Jie Xu;Gang Wang;Rong Zheng;Homa Atabakhsh
Affiliations:
University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ;University of Arizona, Tucson, AZ
Venue:
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Year:
2003

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Abstract

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.