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...

Descripció completa

Dades bibliogràfiques

Autors principals:	Franklim Arévalo, Paolo Barucca, Isela-Elizabeth Téllez-León, William Rodríguez, Gerardo Gage, Raúl Morales
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2022-03-01
Col·lecció:	Latin American Journal of Central Banking
Matèries:	Automated detection Anomalous patterns Payment systems Supervisory analysis
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2666143822000059
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!