Predicting Credit Card Transaction Fraud Using Machine Learning Algorithms
Open Access
- 1 January 2019
- journal article
- Published by Scientific Research Publishing, Inc. in Journal of Intelligent Learning Systems and Applications
- Vol. 11 (03), 33-63
- https://doi.org/10.4236/jilsa.2019.113003
Abstract
No abstract availableThis publication has 11 references indexed in Scilit:
- Analysis of Credit Card Fraud Detection Using Fusion ClassifiersPublished by Springer Science and Business Media LLC ,2018
- CNN Data Mining Algorithm for Detecting Credit Card FraudPublished by Springer Science and Business Media LLC ,2018
- Random forest for credit card fraud detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2018
- Credit Card Fraud Detection Using AdaBoost and Majority VotingIEEE Access, 2018
- Learned lessons in credit card fraud detection from a practitioner perspectiveExpert Systems with Applications, 2014
- A Comprehensive Survey of Data Mining-Based Accounting-Fraud Detection ResearchPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Boosting and Additive TreesPublished by Springer Science and Business Media LLC ,2008
- Subscription fraud prevention in telecommunications using fuzzy rules and neural networksExpert Systems with Applications, 2006
- Lexicon (7)Performance Research, 2002
- Multiple Algorithms for Fraud DetectionPublished by Springer Science and Business Media LLC ,2000