Thematic Clustering of Latent Topics in Banking Fraud Detection: A Machine Learning Approach

Fraud detection in banking is crucial for averting losses, preserving client confidence, and ensuring regulatory compliance. This study employs a machine learning text-mining technique named structural topic modelling to explore a dataset comprising 331 articles from Elsevier's Scopus database,...

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Bibliographic Details

Published in:	2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) pp. 1 - 6
Main Authors:	Olasiuk, Hanna, Singh, Sudhanshu, Ganushchak, Tetiana
Format:	Conference Proceeding
Language:	English
Published:	IEEE 14.12.2023
Subjects:	Banking Computational modeling Credit cards Fraud Detection Machine learning Real-time systems Regulators Structural Topic Modelling Text Mining
Online Access:	Get full text
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