Ensemble Method for Credit Card Fraud Detection

2018 ◽

Vol 6 (9) ◽

pp. 840-843

Author(s):

Nikita Sawhney ◽

B. Kaur ◽

H. Kaur

Keyword(s):

Support Vector Regression ◽

Credit Card ◽

Fraud Detection ◽

Classification Model ◽

Support Vector ◽

Credit Card Fraud ◽

Probabilistic Support

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Application of GA Feature Selection on Naive Bayes, Random Forest and SVM for Credit Card Fraud Detection

2020 International Conference on Decision Aid Sciences and Application (DASA) ◽

10.1109/dasa51403.2020.9317228 ◽

2020 ◽

Author(s):

Yakub K. Saheed ◽

Moshood A. Hambali ◽

Micheal O. Arowolo ◽

Yinusa A. Olasupo

Keyword(s):

Feature Selection ◽

Random Forest ◽

Credit Card ◽

Naive Bayes ◽

Fraud Detection ◽

Naïve Bayes ◽

Credit Card Fraud

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Credit Card Fraud Detection Using Deep Learning

2020 IEEE Recent Advances in Intelligent Computational Systems (RAICS) ◽

10.1109/raics51191.2020.9332497 ◽

2020 ◽

Author(s):

Anu Maria Babu ◽

Anju Pratap

Keyword(s):

Deep Learning ◽

Credit Card ◽

Fraud Detection ◽

Credit Card Fraud

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A Comparison between Classifiers on Credit Card Fraud Detection Problem

2020 2nd International Conference on E-Business and E-commerce Engineering ◽

10.1145/3446922.3446925 ◽

2020 ◽

Author(s):

Wenxuan Shi

Keyword(s):

Credit Card ◽

Fraud Detection ◽

Detection Problem ◽

Credit Card Fraud

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Dynamic ensemble based feature selection model for credit card fraud detection

2020 IEEE 17th India Council International Conference (INDICON) ◽

10.1109/indicon49873.2020.9342496 ◽

2020 ◽

Author(s):

Shubhi Shukla ◽

Deepak Rakesh

Keyword(s):

Feature Selection ◽

Credit Card ◽

Fraud Detection ◽

Selection Model ◽

Credit Card Fraud

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Credit Card Fraud Detection using Data Pre-processing on Imbalanced Data - both Oversampling and Undersampling

Proceedings of the International Conference on Computing Advancements ◽

10.1145/3377049.3377113 ◽

2020 ◽

Author(s):

Jalal Ahammad ◽

Nazia Hossain ◽

Mohammad Shafiul Alam

Keyword(s):

Credit Card ◽

Imbalanced Data ◽

Fraud Detection ◽

Credit Card Fraud ◽

Using Data

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Generative adversarial networks for data augmentation and transfer in credit card fraud detection

Journal of the Operational Research Society ◽

10.1080/01605682.2021.1880296 ◽

2021 ◽

pp. 1-28

Author(s):

Alex Langevin ◽

Tyler Cody ◽

Stephen Adams ◽

Peter Beling

Keyword(s):

Credit Card ◽

Data Augmentation ◽

Fraud Detection ◽

Generative Adversarial Networks ◽

Credit Card Fraud ◽

Adversarial Networks

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Online Credit Card Fraud Detection: A Hybrid Framework with Big Data Technologies

2016 IEEE Trustcom/BigDataSE/ISPA ◽

10.1109/trustcom.2016.0253 ◽

2016 ◽

Cited By ~ 7

Author(s):

You Dai ◽

Jin Yan ◽

Xiaoxin Tang ◽

Han Zhao ◽

Minyi Guo

Keyword(s):

Big Data ◽

Credit Card ◽

Fraud Detection ◽

Credit Card Fraud ◽

Hybrid Framework ◽

Big Data Technologies

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Feature engineering strategies for credit card fraud detection

Expert Systems with Applications ◽

10.1016/j.eswa.2015.12.030 ◽

2016 ◽

Vol 51 ◽

pp. 134-142 ◽

Cited By ~ 73

Author(s):

Alejandro Correa Bahnsen ◽

Djamila Aouada ◽

Aleksandar Stojanovic ◽

Björn Ottersten

Keyword(s):

Credit Card ◽

Fraud Detection ◽

Feature Engineering ◽

Credit Card Fraud

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Credit Card Fraud Detectıon in Retaıl Shopping Using Reinforcement Learning

New Trends in Computational Vision and Bio-inspired Computing ◽

10.1007/978-3-030-41862-5_158 ◽

2020 ◽

pp. 1541-1549

Author(s):

L. SaiRamesh ◽

E. Ashok ◽

S. Sabena ◽

A. Ayyasamy

Keyword(s):

Reinforcement Learning ◽

Credit Card ◽

Fraud Detection ◽

Credit Card Fraud ◽

Retail Shopping

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Ensemble Method for Credit Card Fraud Detection

Probabilistic Support Vector Regression Classification Model for Credit Card Fraud Detection

Application of GA Feature Selection on Naive Bayes, Random Forest and SVM for Credit Card Fraud Detection

Credit Card Fraud Detection Using Deep Learning

A Comparison between Classifiers on Credit Card Fraud Detection Problem

Dynamic ensemble based feature selection model for credit card fraud detection

Credit Card Fraud Detection using Data Pre-processing on Imbalanced Data - both Oversampling and Undersampling

Generative adversarial networks for data augmentation and transfer in credit card fraud detection

Online Credit Card Fraud Detection: A Hybrid Framework with Big Data Technologies

Feature engineering strategies for credit card fraud detection

Credit Card Fraud Detectıon in Retaıl Shopping Using Reinforcement Learning

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