An Analysis of Various Algorithmic Behaviors in Detecting a Financial Fraud
Author:
Affiliation:
1. Vardhaman College of Engineering,Computer Science and Engineering,Hyderabad,India
2. VIT-AP University,School of Computer Science and Engineering,Amaravathi,Andhra Pradesh,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9984157/9984211/09984399.pdf?arnumber=9984399
Reference20 articles.
1. Intrusion Detection Systems using Linear Discriminant Analysis and Logistic Regression
2. Influence of Optimizing XGBoost to handle Class Imbalance in Credit Card Fraud Detection
3. Cost-sensitive Risk Induced Bayesian Inference Bagging (RIBIB) for credit card fraud detection
4. An in-depth experimental study of anomaly detection using gradient boosted machine
5. Customer Transaction Fraud Detection Using Xgboost Model
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