Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks

Marco Schreyer, Timur Sattarov, Damian Borth +2

Learning to detect fraud in large-scale accounting data is one of the long-standing challenges in financial statement audits or fraud investigations. Nowadays, the majority of appl…