MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641081170 A) filed by Ramachandra College Of Engineering on July 01, 2026, for Data Mining-Based Fraud Detection System.
Inventors include M Radha Krishna; Ch Venkatesh; Dr. B. Sarada; and M. Suma.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: A data mining-based fraud detection system identifies and prevents fraudulent activities in real time. Transactional and behavioral data from financial systems, e- commerce platforms, or online services is collected for analysis. Data mining algorithms detect anomalies, patterns, and in regularities indicative of fraud. Machine learning models classify transactions as legitimate or suspicious with high accuracy. The system generates automatic alerts for potentially fraudulent activities. Historical data analysis enhances detection performance and reduces false positives. Integration with existing IT and banking systems ensures seamless monitoring. Real-time dashboards provide actionable insights for fraud investigators and administrators. Predictive analytics anticipate emerging fraud patterns and trends. Privacy and security protocols protect sensitive customer and transactional information. Automated reporting supports regulatory compliance and audit requirements. The system minimizes financial losses and operational risks. It enables proactive intervention and decision making. Scalability allows monitoring of large scale, high- volume data environments.
Disclaimer: Curated by HT Syndication.
