AFRAID: Fraud detection via active inference in time-evolving social networks


Fraud is a social process that occurs over time. We introduce a new approach, called AFRAID, which utilizes active inference to better detect fraud in time-varying social networks. That is, classify nodes as fraudulent vs. non-fraudulent. In active inference on social networks, a set of unlabeled nodes is given to an oracle (in our case one or more fraud… (More)
DOI: 10.1145/2808797.2810058


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