MDIASE-Autoencoder: A Novel Anomaly Detection Method for Increasing The Performance of Credit Card Fraud Detection Models
Author:
Affiliation:
1. Telkom University,Advanced and Creative Networks Research Center,Bandung,Indonesia
2. Institut Teknologi Telkom Purwokerto,Software Engineering, Faculty of Informatics,Purwokerto,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10374015/10374030/10374051.pdf?arnumber=10374051
Reference28 articles.
1. TPOT on Increasing the Performance of Credit Card Application Approval Classification
2. An implementation of decision tree algorithm augmented with regression analysis for fraud detection in credit card;Hammed;International Journal of Computer Science and Information Security (IJCSIS),2020
3. Review of Machine Learning Approach on Credit Card Fraud Detection
4. Credit card fraud detection using naive bayesian and c4. 5 decision tree classifiers;Husejinovic,2020
5. Machine Learning Approach for Credit Card Fraud Detection (KNN & Naïve Bayes)
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