Qualifying and raising anti-money laundering alarms with deep learning.

Rasmus Jensen Alexandros Iosifidis

Published in: Expert Syst. Appl. (2023)

Keyphrases

deep learning
anti money laundering
money laundering
unsupervised learning
unsupervised feature learning
machine learning
mental models
financial institutions
weakly supervised
transaction data
criminal activities
data sets
graph cuts
co occurrence
training set
decision making
learning algorithm