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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 6 | Month- June 2026
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Paper Title
Comprehensive Review of Machine Learning Techniques for Credit Card Fraud Detection: Challenges, Solutions, and Future Directions.
Authors
Ravindra Aggarwal, Suraj Kumar, Ketan Jain, Divyanka Rai, Prem Sunka
Keywords
Credit Card Fraud Detection, Machine Learning, Supervised Learning, Unsupervised Learning, Data Imbalance, Fraud Analytics, Anomaly Detection, Model Interpretability, Cybersecurity, Financial.
Abstract
Credit card fraud has become a significant threat in the digital age, necessitating the development of robust and intelligent detection systems. This paper presents a comprehensive review of machine learning techniques applied to credit card fraud detection, analyzing their strengths, limitations, and real-world applicability. Various supervised, unsupervised, and hybrid approaches are critically examined, with a focus on performance metrics, data imbalance handling, and adaptability to evolving fraud patterns. The review also explores current challenges such as data privacy, scalability, and interpretability, while proposing future research directions to enhance detection accuracy and efficiency. This study aims to provide researchers and practitioners with valuable insights for developing more effective and resilient fraud detection frameworks.
IJCRT's Publication Details
Unique Identification Number - IJCRT2506025
Paper ID - 287635
Page Number(s) - a218-a225
Pubished in - Volume 13 | Issue 6 | June 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Ravindra Aggarwal, Suraj Kumar, Ketan Jain, Divyanka Rai, Prem Sunka, "Comprehensive Review of Machine Learning Techniques for Credit Card Fraud Detection: Challenges, Solutions, and Future Directions.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.a218-a225, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT2506025.pdf
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Volume 14 | Issue 6
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Volume 14 | Issue 6
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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