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Prediction of credit card defaults through data analysis and machine learning techniques

  • Published:2022 Issue: Volume:51 Page:110-117
  • ISSN:2214-7853
  • Container-title:Materials Today: Proceedings
  • language:en
  • Short-container-title:Materials Today: Proceedings

Author:

Arora Saurabh,Bindra Sushant,Singh Survesh,Kumar Nassa Vinay

Publisher

Elsevier BV

Subject

General Medicine

Reference21 articles.

1. A credit scoring model for commercial loans: Comment;Haslem;Journal of Money, Credit, and Banking,2015

2. A credit scoring model for personal loans;Steenackers;Insurance Mathematics Economic,1989

3. Credit card fraud identification based on unbalanced data set based on fusion model;Li,2019

4. Predicting Credit Card Defaults with Deep Learning and Other Machine Learning Models;Chou;International Journal of Computer Theory and Engineering.,2018

5. Chou, T. Apply two-stage grey incidence analysis with dynamic weights to improve the quality

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2. A Quantitative Analysis of Default Risk Using Machine Learning and SHAP Value Interpretation;Proceedings of the International Conference on Business Excellence;2024-06-01

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4. Creditworthiness pattern prediction and detection for GCC Islamic banks using machine learning techniques;International Journal of Islamic and Middle Eastern Finance and Management;2024-04-03

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