Fighting crime with graph learning /

"Despite tremendous resources dedicated to anti-money laundering (AML), only a tiny fraction of illicit activity is prevented. The research community can help. Mark Weber (MIT-IBM Watson AI Lab) explores how to map the structural and behavioral dynamics driving the technical challenge, and he r...

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Bibliographic Details
Call Number:Libro Electrónico
Format: Electronic Video
Language:Inglés
Published: [Place of publication not identified] : O'Reilly Media, 2019.
Subjects:
O'Reilly Artificial Intelligence Conference > (2019 : > San Jose, Calif.)
Graph theory > Data processing.
Neural networks (Computer science)
Criminal statistics > Data processing.
Money laundering investigation.
Neural Networks, Computer
Réseaux neuronaux (Informatique)
Statistiques criminelles > Informatique.
Blanchiment de l'argent > Enquêtes.
Criminal statistics > Data processing
Graph theory > Data processing
Money laundering investigation
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