AI-based betting anomaly detection system to ensure fairness in sports and prevent illegal gambling
Abstract This study develops a solution to sports match-fixing using various machine-learning models to detect match-fixing anomalies, based on betting odds. We use five models to distinguish between normal and abnormal matches: logistic regression (LR), random forest (RF), support vector machine (S...
| Hlavní autoři: | , , |
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| Médium: | Článek |
| Jazyk: | English |
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Nature Portfolio
2024-03-01
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| Edice: | Scientific Reports |
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| On-line přístup: | https://doi.org/10.1038/s41598-024-57195-8 |