# Machine Learning for Fraud Detection in Banking Systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-for-fraud-detection-in-banking-systems/

## Facts

| Field | Value |
| --- | --- |
| Author Names | C Murugamani,V. Sivakamy,V. Vimala,Padmalosani Dayalan,Khaleel Al‐Said,Nidal Al Said |
| Citations | 0 |
| DOI | 10.1109/icpct64145.2025.10941200 |
| Fields | Business, Management and Accounting,Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4409060412 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [C Murugamani](https://scholariq.org/researchers/c-murugamani/)

## Paper primary topic

- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

## Paper topics

- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)
- [FinTech, Crowdfunding, Digital Finance](https://scholariq.org/topics/fintech-crowdfunding-digital-finance/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.