FRAUD DETECTION IN CREDIT CARD TRANSACTIONS
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.
Authors
- Vaishnavi Jagtap
- Payal Maske
- Mutkule Bhakti
- MURTADKAR A.R.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-05
- DOI
- https://doi.org/10.5281/zenodo.23969759
- Primary Topic
- Imbalanced Data Classification Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00