Credit Card Fraud Detection by Modelling Behaviour Pattern using Hybrid Ensemble Model

Arabian Journal for Science and Engineering ◽

10.1007/s13369-021-06147-9 ◽

2021 ◽

Author(s):

V. S. S. Karthik ◽

Abinash Mishra ◽

U. Srinivasulu Reddy

Keyword(s):

Credit Card ◽

Fraud Detection ◽

Behaviour Pattern ◽

Ensemble Model ◽

Credit Card Fraud

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Ensemble Model to Predict Credit Card Fraud Detection Using Random Forest and Generative Adversarial Networks

Advances in Intelligent Systems and Computing - Emerging Technologies in Data Mining and Information Security ◽

10.1007/978-981-33-4367-2_10 ◽

2021 ◽

pp. 87-97

Author(s):

Sukhwant Kaur ◽

Kiran Deep Singh ◽

Prabhdeep Singh ◽

Rajbir Kaur

Keyword(s):

Random Forest ◽

Credit Card ◽

Fraud Detection ◽

Generative Adversarial Networks ◽

Ensemble Model ◽

Credit Card Fraud ◽

Adversarial Networks

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Probabilistic Support Vector Regression Classification Model for Credit Card Fraud Detection

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i9.840843 ◽

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 ◽

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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 ◽

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 ◽

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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