We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
The concern about national security has increased significantly since the 9/11 attacks. However, information overload hinders the effective analysis of criminal and terrorist activ...
Hsinchun Chen, Wingyan Chung, Yi Qin, Michael Chau...
Terrorist or criminal social network analysis is helpful for intelligence and law enforcement force in investigation. However, individual agency usually has part of the complete te...
The tragic events of September 11th have caused drastic effects on many aspects of society. Academics in the fields of computational and information science have been called upon ...
Our goal is to use natural language processing to identify deceptive and nondeceptive passages in transcribed narratives. We begin by motivating an analysis of language-based dece...
Joan Bachenko, Eileen Fitzpatrick, Michael Schonwe...