/fraud-detection-study-plan

برنامه مطالعاتی Fraud Detection

Fraud Detection Study

Mastering related Surveys

  • Financial fraud detection applying data mining techniques: A comprehensive review from 2009 to 2019, published in 2021
    • First pass
    • Second pass
    • Third pass
    • Check references
  • Deep Learning for Anomaly Detection: A Survey, published in 2019
    • First pass
    • Second pass
    • Third pass
    • Check references
  • A survey of machine-learning and nature-inspired based credit card fraud detection techniques, published in 2016
    • First pass
    • Second pass
    • Third pass
    • Check references
  • How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark, published in 2018
    • First pass
    • Second pass
    • Third pass
    • Check references

Mastering related case studies

  • Deep Learning Detecting Fraud in Credit Card Transactions, published in 2018
    • First pass
    • Second pass
    • Write main points

Kaggle dataset: IEEE-CIS Fraud Detection

~590K transactions, ~400 columns, Dataset link

  • List all related works

  • Read about sponsor of challenge

  • Credit Card Fraud Detection Based on Machine and Deep Learning, 2020

  • Credit Card Fraud Detection Using Lightgbm Model 2020

  • An Optimized LightGBM Model for Fraud Detection 2020

  • Customer Transaction Fraud Detection Using Xgboost Model 2020

  • Credit Card Fraud Detection Based on Deep Neural Network Approach 2021

  • Intelligent Transaction System for Fraud Detection using Deep Learning Networks 2021

  • A StackNet Based Model for Fraud Detection 2021

  • Explainable Machine Learning for Fraud Detection 2021

  • Financial Fraud Detection with Improved Neural Arithmetic Logic Units 2020

  • Influence of Optimizing XGBoost to handle Class Imbalance in Credit Card Fraud Detection 2020

  • Interpretable Meta-Measure for Model Performance 2020

  • Comparing ROC Curve based Thresholding Methods in Online Transactions Fraud Detection System using Deep Learning 2021

  • EPP: interpretable score of model predictive power 2019

  • Efficient Fraud Detection Classification: Class Imbalance and Attribute Correlations 2020

  • Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data 2021

  • Homomorphic SVM Inference for Fraud Detection 2021

  • Label noise injection methods for model robustness assessment in fraud detection datasets 2021

  • Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning 2021

  • Detecting credit card fraud An analysis of fraud detection techniques2020

  • Non-Parametric Stochastic Sequential Assignment With Random Arrival Times 2021

  • TEDD: Robust Detection of Unstable Temporal Features 2020

  • LiteMORT: A memory efficient gradient boosting tree system on adaptive compact distributions 2020

  • C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams 2020

  • Fraudulent Transactions Detection in Credit Card by using Data Mining Methods: A Review 2021

Related Works on Medium & Towards Data Science

  • Reviewing IEEE-CIS Fraud Detection : Competition on Kaggle — XGBoost implementation — A Case Study 2019
  • IEEE-CIS Fraud Detection - Top 5% Solution 2021
  • IEEE-CIS Fraud Detection - by lightgbm 2020
  • Adversarial Validation 2020
  • Fraud Detection Tag on Towards Data Science

Model Evaluation Metrics

Kaggle dataset: ULB

~285K transactions, 31 columns, Dataset link

  • Credit card fraud detection using artificial neural network, published in 2021
    • First pass
    • Second pass
    • Third pass
  • Check research collboarations on Acknowledgements section
  • Check related fraud-detection-handbook

Fraud Detection tools & products

Other descriptive resources

Related topics

Anomaly detection

Stream

Interpretable

AML

Fraud Detection on Stock