Abdollah Eshghi

A Model Based on Clustering and Association Rules for Detection of Fraud in Banking Transactions

2018 · Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science

In recent years, fraud in banking transactions has turned into a serious problem for which different supervised and unsupervised algorithms have been suggested. In this paper, a semi-supervised combined model based on clustering algorithms and …

GHM: An Ensemble Approach to Fraud Detection with a Graph-Based HMM Method

2024

Criminal fraud through bank transactions is one of the main concerns in the field of financial services that can be carried out by individuals or organizations. These illegal activities are challenging to identify. Machine learning …