MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641042078 A) filed by Arun Balaji; Yash Vijay Patil; Dr. Avijit Bhowmick; Smita Sharma Kaushik; Dr. Gnanaprakasam C N; and Dr Varinder Singh, Chennai, Tamil Nadu, on April 1, for 'an intelligent system for credit card fraud prevention using data mining and machine learning.'
Inventor(s) include Arun Balaji; Yash Vijay Patil; Dr. Avijit Bhowmick; Smita Sharma Kaushik; Dr. Gnanaprakasam C N; and Dr Varinder Singh.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an intelligent system for credit card fraud prevention using data mining and machine learning. The proposed system integrats real-time data ingestion, advanced data mining for dynamic feature extraction via association rules and sequential patterns, and a hybrid machine learning model (unsupervised anomaly detection fused with supervised ensemble) for fraud scoring and prevention in credit card transactions. The system features low-latency inference with adaptive thresholding, automated alerts, and active learning feedback for continuous adaptation, achieving superior accuracy and reduced false positives over existing technologies. Technical advancement lies in the seamless data mining-ML fusion and edge-cloud deployment for scalable financial security. Principal use is in banking fraud prevention."
Disclaimer: Curated by HT Syndication.
