Enhancing Credit Card Fraud Detection Through a Novel Ensemble Feature Selection Technique
Author:
Affiliation:
1. Western Kentucky University,Bowling Green,USA
2. Florida Atlantic University,Boca Raton,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10229112/10229323/10229364.pdf?arnumber=10229364
Reference22 articles.
1. Comparative study of regressor and classifier with decision tree using modern tools
2. Feature Selection with theBorutaPackage
3. A Comparison of Data Sampling Techniques for Credit Card Fraud Detection
4. Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners
5. Comparing Individual Means in the Analysis of Variance
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