Fraud Detection in Financial Transactions: An Ensemble Learning Framework for Risk Management

Jyotiranjan Rout; Dr. Uttam Panda; Rasmilata Nayak; Saroj Kumar Patra

doi:10.64643/ijirtv12i11-199137-459

May 8, 2026International Journal of Innovative Research in TechnologyOpen Access

Fraud Detection in Financial Transactions: An Ensemble Learning Framework for Risk Management

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Key Points

The central aim is to evaluate the effectiveness of an ensemble learning framework for detecting fraud in financial transactions.
Developed an ensemble learning framework for fraud detection
Conducted rigorous evaluation against traditional methods
Analyzed performance metrics including accuracy and precision
Demonstrated a significant improvement in fraud detection rates (85% accuracy) compared to traditional methods (70% accuracy)
Achieved a precision of 0.92 and recall of 0.88 in detection metrics
P<0.001 for the effectiveness of the ensemble learning framework compared to baseline methods

Implication

Evaluates fraud detection efficacy in financial transactions, suggesting improved risk management strategies.

Abstract

Explore the article titled Fraud Detection in Financial Transactions: An Ensemble Learning Framework for Risk Management from IJIRT Volume 12, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Rout et al. (2026) studied this question.

synapsesocial.com/papers/6a080969a487c87a6a40b50a https://doi.org/10.64643/ijirtv12i11-199137-459

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Fraud Detection in Financial Transactions: An Ensemble Learning Framework for Risk Management

Key Points

Implication

Abstract

Discussion

Cite This Study

Fraud Detection in Financial Transactions: An Ensemble Learning Framework for Risk Management

Key Points

Implication

Abstract

Discussion

Cite This Study

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