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Fraud Detection of Credit Card Using Logistic Regression

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11634-008-0021-8openalex-extracted
Plastic card fraud detection using peer group analysis
inferredcites →https://doi.org/10.1109/cifer.1997.618940openalex-extracted
CARDWATCH: a neural network based database mining system for credit card fraud detection
inferredcites →https://doi.org/10.1109/tai.1999.809773openalex-extracted
Neural data mining for credit card fraud detection
inferredcites →https://doi.org/10.1145/2675743.2771877openalex-extracted
The uncertain case of credit card fraud detection

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-61929-8_2openalex-snapshot
A Novel Approach Integrating Autoencoders and ESMOTE-GAN for Credit Card Fraud Detection
inferred← citeshttps://doi.org/10.1063/5.0309434openalex-snapshot
Unveiling shield: A comprehensive exploration of credit card fraud detection through machine learning
inferred← citeshttps://doi.org/10.1109/access.2023.3321800openalex-snapshot
A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection
inferred← citeshttps://doi.org/10.1109/icaaic53929.2022.9792653openalex-snapshot
Machine Learning based Credit Card Fraud Detection - A Review
inferred← citeshttps://doi.org/10.1109/icc-robins60238.2024.10533901openalex-snapshot
Securing Fintech: A Machine Learning Approach for Credit Card Fraud Detection
inferred← citeshttps://doi.org/10.1109/icetas62372.2024.11120087openalex-snapshot
Credit Card Fraud Detection With Hybrid Machine Learning Models
inferred← citeshttps://doi.org/10.1109/icrais66073.2025.11234702openalex-snapshot
A Deep Meta Ensemble Approach for Credit Card Fraud Detection Using Hybrid Models and Advanced Resampling Techniques
inferred← citeshttps://doi.org/10.70389/pjai.100014openalex-snapshot
Enhancing Banking Fraud Detection: Role of Machine Learning and Deep Learning Methods
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