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April 10, 2026International Journal of Innovative Research in Technology0 citationsOpen Access

Credit Card Transaction Analysis for Fraud Pattern Identification Using Data Science

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MGM GaneshJKJ.V.V.S.Nithin KumarBB.Nandini

Key Points

  • The aim is to analyze credit card transactions to identify fraud patterns using data science techniques.
  • Analyzed credit card transaction data
  • Applied data science methodologies
  • Utilized algorithms for pattern recognition
  • Identified key patterns associated with fraudulent transactions
  • Proposed algorithms that improve accuracy in fraud detection

Abstract

Explore the article titled Credit Card Transaction Analysis for Fraud Pattern Identification Using Data Science from IJIRT Volume 12, Issue 10. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Ganesh et al. (2026) studied this question.

synapsesocial.com/papers/69d894ec6c1944d70ce05e19https://doi.org/10.64643/ijirtv12i10-195124-459
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Credit Card Fraud Detection Using Machine Learning Classification Techniques2026
  2. 2Real-Time Credit Card Fraud Detection Using Machine Learning With Interactive Web Dashboard2026
  3. 3Online Payment Transaction Analysis and Risk Insights2026
  4. 4Identification and Analysis of Credit Card Fraud Based on Machine Learning Methods2024 · 1 citations
  5. 5Multi-Modal Fraud Detection in Digital Transactions2025