Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework

Keyphrases

• Class Imbalance 33%
• Classification Measures 33%
• Cost Savings 33%
• Data Detection 33%
• Detection Framework 33%
• Detection Method 33%
• Detection Performance 33%
• Ensemble Model 33%
• Extant Research 33%
• Extreme Class 33%
• Financial Fraud 33%
• Financial Implications 66%
• Fraud Detection 100%
• Fraud Detection System 66%
• Fraudsters 33%
• High Cost 33%
• Imbalanced Data 33%
• Labeled Data 33%
• Machine Learning Techniques 33%
• Mobile Payment 100%
• Mobile Transactions 33%
• Outlier Detection 66%
• Popular 33%
• Smartphone 33%
• Supervised Ensembles 33%
• Supervised Machine Learning 33%
• Undersampling 33%
• Unsupervised Outlier Detection 33%
• XGBoost 100%
• XGBoost Classifier 33%
• XGBoost Method 33%

Computer Science

• Class Imbalance 20%
• Comparative Evaluation 20%
• Cost Saving 20%
• Data Detection 20%
• Detection Algorithm 20%
• Detection Method 20%
• Detection Performance 20%
• Extant Research 20%
• Extreme Gradient Boosting 100%
• Fraud Detection 100%
• Imbalanced Data 20%
• Large Data Set 20%
• Machine Learning 40%
• Outlier Detection 40%