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Using Coplink to Analyze Criminal-Justice Data

Artificial Intelligence Lab, Department of MIS, University of Arizona / 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 spaceĆ¢
a statistics-based, algorithmic technique that
identifies relationships between suspects, victims,
and other pertinent dataĆ¢ to accelerate criminal
investigations and enhance law enforcement
efforts.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/105157
Date03 1900
CreatorsHauck, Roslin V., Atabakhsh, Homa, Ongvasith, Pichai, Gupta, Harsh, Chen, Hsinchun
PublisherIEEE
Source SetsUniversity of Arizona
LanguageEnglish
Detected LanguageEnglish
TypeJournal Article (Paginated)

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