GHM: An Ensemble Approach to Fraud Detection with a Graph-Based HMM Method-Reference-Cited by-同舟云学术

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

Published:2024-04-24 Issue: Volume:1 Page:99-104
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Container-title:2024 10th International Conference on Web Research (ICWR)
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Author:

Khosravi Samiyeh¹,Kargari Mehrdad¹,Teimourpour Babak¹,Talebi Mohammad²,Eshghi Abdollah³,Aliabdi Amin⁴

Affiliation:

1. Tarbiat Modares University Industrial and Systems Engineering,Tehran,Iran

2. Emam Sadegh University,Tehran,Iran

3. Tarbiat Modares University,Tehran,Iran

4. Amirkabir University of Technology,Algorithm and Computational Geometry Laboratory,Tehran,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10533315/10533316/10533348.pdf?arnumber=10533348

Reference47 articles.

1. Anomaly Detection in Graphs of Bank Transactions for Anti Money Laundering Applications

2. CoDetect: Financial Fraud Detection With Anomaly Feature Detection

3. Understanding Social Network Analysis (SNA) in fraud detection

4. The application of social network analysis algorithms in a system supporting money laundering detection

5. A novel dynamic approach to identifying suspicious customers in money transactions

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