Towards explainable artificial intelligence in financial fraud detection: Using shapley additive explanations to explore feature importance

P Fukas, J Rebstadt, L Menzel, O Thomas - International Conference on …, 2022 - Springer
As the number of organizations and their complexity have increased, a tremendous amount
of manual effort has to be invested to detect financial fraud. Therefore, powerful machine …

A comprehensive survey of fraud detection methods in credit card based on data mining techniques

RH Alwan, MM Hamad, OA Dawood - AIP Conference Proceedings, 2022 - pubs.aip.org
Credit cards play a vital role in the financial transactions where it becomes inescapable
portion for family, industry and worldwide actions. Although utilizing credit card offers …

Comparative evaluation of the supervised machine learning classification methods and the concept drift detection methods in the financial business problems

VU Pugliese, RD Costa, CM Hirata - International Conference on …, 2020 - Springer
Abstract Machine Learning methods are key tools for aiding in the decision making of
financial business problems, such as risk analysis, fraud detection, and credit-granting …

[PDF][PDF] Comparing Supervised Classification Methods for Financial Domain Problems.

VU Pugliese, CM Hirata, RD Costa - ICEIS (1), 2020 - scitepress.org
Classification is key to the success of the financial business. Classification is used to
analyze risk, the occurrence of fraud, and credit-granting problems. The supervised …

[PDF][PDF] Reporte de verificación de cumplimiento

D Zúñiga - 2023 - repositorio.espe.edu.ec
De acuerdo con el índice de vulnerabilidad ante lavado de activos publicado por el Instituto
de Gobernanza de Basilea, al 2019, el Ecuador se ubicó en el puesto 29 de un total de 125 …