Work

Fraud Detection in Credit Card Transactions

Year: 2026

Type: article

Abstract: This research paper presents a machine learning-based approach to credit card fraud detection, focusing on identifying suspicious transactions, addressing data imbalance, and improving detection accuracy while minimizing false alerts. It explores behavioural analysis and anomaly detection techniques for secure and reliable financial transactions.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23969759

Authors: Vaishnavi, Jagtap, Payal, Maske, Bhakti, Mutkule, A.R., MURTADKAR

Language: English

Topic: Imbalanced Data Classification Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7225311515

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