Top keywords based on the frequency criterion in the field of financial fraud detection
| Index | Author’s keywords | Frequency |
|---|---|---|
| 1 | Anomaly detection | 249 |
| 2 | Fraud detection | 98 |
| 3 | Machine learning | 62 |
| 4 | Data mining | 47 |
| 5 | Audit | 37 |
| 6 | Principal component analysis | 35 |
| 7 | Earning management | 23 |
| 8 | Deep learning | 21 |
| 9 | Clustering | 20 |
| 10 | Corporate governance | 16 |
| 11 | Unsupervised learning | 15 |
| 12 | Benford’s law | 15 |
| 13 | Network security | 13 |
| 14 | Fraud triangle | 12 |
| 15 | Random forest | 11 |
| 16 | Feature extraction | 11 |
| 17 | Neural network | 11 |
| 18 | Audit quality | 10 |
| 19 | Decision tree | 10 |
| 20 | Internal control | 10 |
| Index | Author’s keywords | Frequency |
|---|---|---|
| 1 | Anomaly detection | 249 |
| 2 | Fraud detection | 98 |
| 3 | Machine learning | 62 |
| 4 | Data mining | 47 |
| 5 | Audit | 37 |
| 6 | Principal component analysis | 35 |
| 7 | Earning management | 23 |
| 8 | Deep learning | 21 |
| 9 | Clustering | 20 |
| 10 | Corporate governance | 16 |
| 11 | Unsupervised learning | 15 |
| 12 | Benford’s law | 15 |
| 13 | Network security | 13 |
| 14 | Fraud triangle | 12 |
| 15 | Random forest | 11 |
| 16 | Feature extraction | 11 |
| 17 | Neural network | 11 |
| 18 | Audit quality | 10 |
| 19 | Decision tree | 10 |
| 20 | Internal control | 10 |
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