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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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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9. Analysis of credit card fraud detection using fuzzy rough and intuitionistic fuzzy rough feature selection techniques

Computational Intelligence ◽

10.1515/9783110671353-009 ◽

2020 ◽

pp. 135-158

Keyword(s):

Feature Selection ◽

Credit Card ◽

Fraud Detection ◽

Credit Card Fraud ◽

Intuitionistic Fuzzy ◽

Feature Selection Techniques

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A two-phase feature selection technique using mutual information and XGB-RFE for credit card fraud detection

International Journal of Advanced Technology and Engineering Exploration ◽

10.19101/ijatee.2021.874615 ◽

2021 ◽

Vol 8 (85) ◽

Author(s):

C. Victoria Priscilla ◽

D. Padma Prabha

Keyword(s):

Feature Selection ◽

Mutual Information ◽

Credit Card ◽

Fraud Detection ◽

Two Phase ◽

Feature Selection Technique ◽

Credit Card Fraud ◽

Selection Technique

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The Effect of Feature Selection on Credit Card Fraud Detection Success

2021 29th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu53274.2021.9477812 ◽

2021 ◽

Author(s):

Ensar Bayhan ◽

A. Gokhan Yavuz ◽

M. Amac Guvensan ◽

M. Elif Karsligil

Keyword(s):

Feature Selection ◽

Credit Card ◽

Fraud Detection ◽

Credit Card Fraud

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Adaptive Credit Card Fraud Detection Techniques Based on Feature Selection Method

Advances in Intelligent Systems and Computing - Advances in Computer Communication and Computational Sciences ◽

10.1007/978-981-13-6861-5_15 ◽

2019 ◽

pp. 167-178 ◽

Author(s):

Ajeet Singh ◽

Anurag Jain

Keyword(s):

Feature Selection ◽

Credit Card ◽

Feature Selection Method ◽

Fraud Detection ◽

Selection Method ◽

Credit Card Fraud ◽

Detection Techniques

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The Effect of Recursive Feature Elimination with Cross-Validation (RFECV) Feature Selection Algorithm toward Classifier Performance on Credit Card Fraud Detection

2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST) ◽

10.1109/icaicst53116.2021.9497842 ◽

2021 ◽

Author(s):

Adi Zaenul Mustaqim ◽

Sumarni Adi ◽

Yoga Pristyanto ◽

Yuli Astuti

Keyword(s):

Feature Selection ◽

Credit Card ◽

Cross Validation ◽

Fraud Detection ◽

Recursive Feature Elimination ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Credit Card Fraud ◽

Classifier Performance

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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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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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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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