Aug 30, 2024 · We propose a data generation scheme based on multi-agent systems to obtain company data with labeled occupational fraud cases and ground truth explanations.
A data generation scheme based on multi-agent systems to obtain company data with labeled occupational fraud cases and ground truth explanations and a ...
Jun 21, 2024 · Our proposed work uses a data simulation to provide labeled data for occupational fraud detection, allowing us to automatically detect and ...
Sep 1, 2024 · Occupational fraud and abuse are an enormous problem, imposing adverse effects and practically affecting every organization and all sectors of ...
People also ask
What are the data sources for fraud detection?
What data is needed for fraud detection?
What is the most common method of detection of occupational fraud initially?
What is the best AI model for fraud detection?
To avoid expensive expert annotations, we propose a data generation scheme based on multi-agent systems to obtain company data with labeled occupational fraud ...
Data Generation for Explainable Occupational Fraud Detection. https://doi.org/10.1007/978-3-031-70893-0_18 ·. Journal: Lecture Notes in Computer Science KI ...
Data Generation for Explainable Occupational Fraud Detection. J. Tritscher, M. Wolf, A. Krause, A. Hotho, and D. Schlör. KI, volume 14992 of Lecture Notes ...
To reduce the loss of revenue to occupational fraud, researchers have in the past suggested to use the data contained within ERP systems to detect fraudulent ...
A data generation scheme based on multi-agent systems to obtain company data with labeled occupational fraud cases and ground truth explanations and a ...
Data Generation for Explainable Occupational Fraud Detection. J Tritscher, M Wolf, A Krause, A Hotho, D Schlör. German Conference on Artificial Intelligence ...