Sravanthi, Boddu Krishna Chaitanya and Keerthi, Sai Tejaswini and Latha, Vempada and Lakshmi, Guddati Vijaya and Satyanarayana, Ch.V.V. and Vennela, Kosanam (2025) Fraud Detection in Financial Transactions: A Comparative Study of Machine Learning Models with Ensemble Voting. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II.
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Abstract
Real-time fraud detection in financial transactions presents great importance for the stability of financial systems. The investigators proposed a machine-learningbased model to classify fraudulent activities in financial transactions using a dataset with 6.3 million rows. The methodology involves e
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 20:19 |
| Last Modified: | 16 Apr 2026 15:51 |
| URI: | http://eprints.eai.eu/id/eprint/60221 |
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