KEYWORD |
Area Architettura
Machine Learning anomaly detection applied to AML
Tesi esterna in azienda
Riferimenti PATRIZIA SEMERARO
Gruppi di ricerca Probabilita' e applicazioni
Descrizione The purpose of this thesis is to analyze current research on anomaly detection applied to anti-money laundering, with particular focus on online gambling. The student will implement and compare supervised and unsupervised machine learning techniques. Basic knowledge of ML and a programming language (Matlab, Python,R) are preferred
Scadenza validita proposta 20/06/2023
PROPONI LA TUA CANDIDATURA