Credit Card Fraud Detection Using Machine Learning Classification Techniques

M Rama Krishna Raju; P Hemanth Kumar Varma; T Swathi; S Kranthi Durga; V Surendra Raju

doi:10.64643/ijirtv12i10-194848-459

April 3, 2026International Journal of Innovative Research in TechnologyOpen Access

Credit Card Fraud Detection Using Machine Learning Classification Techniques

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Key Points

The central aim is to assess the effectiveness of machine learning classification techniques in detecting credit card fraud.
Analyzed various machine learning algorithms for fraud detection.
Utilized a dataset of credit card transactions for evaluation.
Conducted performance comparisons based on accuracy and reliability.
Identified the most effective classification techniques for fraud detection.
Achieved higher accuracy in detecting fraudulent transactions compared to traditional methods.

Implication

Evaluates machine learning techniques for detecting credit card fraud, suggesting effective solutions for financial security.

Abstract

Explore the article titled Credit Card Fraud Detection Using Machine Learning Classification Techniques 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

Raju et al. (2026) studied this question.

synapsesocial.com/papers/69d893626c1944d70ce04753 https://doi.org/10.64643/ijirtv12i10-194848-459

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Credit Card Fraud Detection Using Machine Learning Classification Techniques

Key Points

Implication

Abstract

Discussion

Cite This Study

Credit Card Fraud Detection Using Machine Learning Classification Techniques

Key Points

Implication

Abstract

Discussion

Cite This Study

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