Credit Card Fraud Detection under Extreme Imbalanced Data: A Comparative Study of Data-level Algorithms

Journal of Experimental & Theoretical Artificial Intelligence ◽

10.1080/0952813x.2021.1907795 ◽

2021 ◽

pp. 1-28

Author(s):

Amit Singh ◽

Ranjeet Kumar Ranjan ◽

Abhishek Tiwari

Keyword(s):

Comparative Study ◽

Credit Card ◽

Imbalanced Data ◽

Fraud Detection ◽

Credit Card Fraud ◽

Data Level

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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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Comparative Study of Machine Learning Based Classification Techniques for Credit Card Fraud Detection

10.1109/icdabi53623.2021.9655848 ◽

2021 ◽

Author(s):

Ankit Shah ◽

Akash Mehta

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Credit Card ◽

Fraud Detection ◽

Credit Card Fraud ◽

Classification Techniques

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Credit Card Fraud Detection Using Various Classification and Sampling Techniques: A Comparative Study

2019 International Conference on Communication and Electronics Systems (ICCES) ◽

10.1109/icces45898.2019.9002289 ◽

2019 ◽

Author(s):

J. V. V. Sriram Sasank ◽

G. Ram Sahith ◽

K. Abhinav ◽

Meena Belwal

Keyword(s):

Comparative Study ◽

Credit Card ◽

Fraud Detection ◽

Sampling Techniques ◽

Credit Card Fraud

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Comparative Study Using Neural Networks Techniques for Credit Card Fraud Detection

Innovations in Smart Cities Applications Edition 3 - Lecture Notes in Intelligent Transportation and Infrastructure ◽

10.1007/978-3-030-37629-1_22 ◽

2020 ◽

pp. 287-296

Author(s):

Imane Sadgali ◽

Nawal Sael ◽

Faouzia Benabbou

Keyword(s):

Neural Networks ◽

Comparative Study ◽

Credit Card ◽

Fraud Detection ◽

Credit Card Fraud

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Real time credit card fraud detection on huge imbalanced data using meta-classifiers

2017 International Conference on Inventive Computing and Informatics (ICICI) ◽

10.1109/icici.2017.8365263 ◽

2017 ◽

Cited By ~ 5

Author(s):

M. Kavitha ◽

M. Suriakala

Keyword(s):

Real Time ◽

Credit Card ◽

Imbalanced Data ◽

Fraud Detection ◽

Credit Card Fraud

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A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance

2018 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2018.8628930 ◽

2018 ◽

Cited By ~ 3

Author(s):

Shantanu Rajora ◽

Dong-Lin Li ◽

Chandan Jha ◽

Neha Bharill ◽

Om Prakash Patel ◽

...

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Credit Card ◽

Fraud Detection ◽

Machine Learning Techniques ◽

Credit Card Fraud ◽

Time Variance ◽

Learning Techniques

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A COMPARATIVE STUDY ON CREDIT CARD FRAUD DETECTION

International Journal of Engineering Applied Sciences and Technology ◽

10.33564/ijeast.2020.v05i02.075 ◽

2020 ◽

Vol 5 (2) ◽

pp. 456-459

Author(s):

Arpit Jain ◽

Narendra Kr Sharma ◽

Anshul Aggarwal ◽

Love Aggarwal

Keyword(s):

Comparative Study ◽

Credit Card ◽

Fraud Detection ◽

Credit Card Fraud

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On the Comparative Study of Prediction Accuracy for Credit Card Fraud Detection with Imbalanced Classifications

Spring Simulation Conference (SpringSim 2020) ◽

10.22360/springsim.2020.cse.004 ◽

2020 ◽

Keyword(s):

Comparative Study ◽

Credit Card ◽

Prediction Accuracy ◽

Fraud Detection ◽

Credit Card Fraud ◽

The Comparative Study

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Scalable Machine Learning Techniques for Highly Imbalanced Credit Card Fraud Detection: A Comparative Study

Lecture Notes in Computer Science - PRICAI 2018: Trends in Artificial Intelligence ◽

10.1007/978-3-319-97310-4_27 ◽

2018 ◽

pp. 237-246 ◽

Cited By ~ 4

Author(s):

Rafiq Ahmed Mohammed ◽

Kok-Wai Wong ◽

Mohd Fairuz Shiratuddin ◽

Xuequn Wang

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Credit Card ◽

Fraud Detection ◽

Machine Learning Techniques ◽

Credit Card Fraud ◽

Learning Techniques

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A Comparative Study of Credit Card Fraud Detection Using the Combination of Machine Learning Techniques with Data Imbalance Solution

2021 2nd International Conference on Computing and Data Science (CDS) ◽

10.1109/cds52072.2021.00026 ◽

2021 ◽

Author(s):

Faroque Ahmed ◽

Rittika Shamsuddin

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Credit Card ◽

Fraud Detection ◽

Machine Learning Techniques ◽

Credit Card Fraud ◽

Data Imbalance ◽

Learning Techniques

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