MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611072349 A) filed by Manipal University Jaipur on June 10, 2026, for An Adaptive Machine Learning System For Credit Card Fraud Detection.
Inventor includes Dr. Ganpat Singh Chauhan.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention relates to an adaptive machine learning system for credit card fraud detection. The credit card fraud detection system (100) comprises an initial data ingestion module (110) to receive the credit card transaction data as input; a data preprocessing module (120) for data cleaning, imbalance handling, and feature engineering to generate an optimized feature set; an ensemble modelling module(130) employs tree-based algorithms, including Random Forest and gradient boosting, to enhance predictive accuracy; a training and validation module (140) performs model training using optimized features and applies k-fold cross-validation to ensure generalization and reduce overfitting; a precision recall optimization module (150) adjusts classification thresholds to maximize recall while maintaining precision; and a system output module (160) generates real-time fraud alerts for suspicious transactions. The invention enables continuous transaction monitoring and adaptive learning for evolving fraud patterns, thereby improving detection efficiency, reducing financial losses, and enhancing operational reliability and regulatory compliance in electronic payment systems.
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