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Using Coplink to Analyze Criminal-Justice Data

Hauck, Roslin V. and Atabakhsh, Homa and Ongvasith, Pichai and Gupta, Harsh and Chen, Hsinchun (2002) Using Coplink to Analyze Criminal-Justice Data. Computer 35:pp. 30-37.

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Abstract

As information technologies and applications become more overwhelming and diverse, persistent information overload problems have become ever more urgent.1 Fallout from this trend has most affected government, specifically criminaljustice information systems. The explosive growth in the digital information maintained in the data repositories of federal, state, and local criminal-justice entities and the spiraling need for cross-agency access to that information have made utilizing it both increasingly urgent and increasingly difficult. The Coplink system applies a concept space— a statistics-based, algorithmic technique that identifies relationships between suspects, victims, and other pertinent data—to accelerate criminal investigations and enhance law enforcement efforts.

EPrint Type:Journal Article (Paginated)
Keywords:National Science Digital Library, NSDL, Artificial Intelligence Lab, AI Lab, COPLINK
Subjects:Web Mining
Knowledge Management
World Wide Web
ID Code:425
Deposited On:16 August 2004
Alternative Locations:http://ai.bpa.arizona.edu/go/papers.html
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