Identifying clusters of anomalous payments in the salvadorian payment system

We develop an unsupervised methodology to group payments and identify possible anomalies. With our methodology, we identify clusters based on a set of network features, using transactional (unlabeled) information from a systemically important payment system of El Salvador. We first preprocess networ...

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Главные авторы:	Franklim Arévalo, Paolo Barucca, Isela-Elizabeth Téllez-León, William Rodríguez, Gerardo Gage, Raúl Morales
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2022-03-01
Серии:	Latin American Journal of Central Banking
Предметы:	Automated detection Anomalous patterns Payment systems Supervisory analysis
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S2666143822000059
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