# Enhancing fraud detection in banking by integration of graph databases with machine learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/enhancing-fraud-detection-in-banking-by-integration-of-graph-databases-with/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ayushi Patil,Shreya Mahajan,Jinal Menpara,Shivali Amit Wagle,Preksha Pareek,Ketan Kotecha |
| Citations | 14 |
| DOI | 10.1016/j.mex.2024.102683 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.mex.2024.102683 |
| OpenAlex ID | https://openalex.org/W4393931385 |
| PMID | 38623305 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Shivali Amit Wagle](https://scholariq.org/researchers/shivali-amit-wagle/)

## 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/)
- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)
- [Advanced Graph Neural Networks](https://scholariq.org/topics/advanced-graph-neural-networks/)

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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.