AI-based betting anomaly detection system to ensure fairness in sports and prevent illegal gambling

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...

Full description

Bibliographic Details
Main Authors: Changgyun Kim, Jae-Hyeon Park, Ji-Yong Lee
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Logistic regression
Random forest
Support vector machine
k-Nearest neighbor
Ensemble model
Match-fixing
Online Access:https://doi.org/10.1038/s41598-024-57195-8

Internet

https://doi.org/10.1038/s41598-024-57195-8

Similar Items