MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641009495 A) filed by Pragati Engineering College, Kakinada, Andhra Pradesh, on Jan. 30, for 'a system and method for automated pattern recognition and predictive analytics in large-scale data systems.'
Inventor(s) include Mr. B Janu Naik; Mrs. Nuvvula Nikhitha; Guduri Harsha Sri Lakshmi Nandan; Mangam Sai Ram Bhargavi; and Godavarthi Mohan Mani Kishore.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "A System and Method for Automated Pattern Recognition and Predictive Analytics in Large-Scale Data Systems The present disclosure relates to a system and method for automated pattern recognition and predictive analytics within extensive data systems. The system is set up to get different types of data streams from different places and do signal conditioning to make sure that the input data is synchronized and of high quality. The disclosure presents adaptive feature morphogenesis for the dynamic evolution of analytical features, alongside causality verification to differentiate causally relevant patterns from spurious correlations. Prediction confidence entropy is used to measure how stable a prediction is and as a control signal to change the structure of a predictive model at runtime. The system also has hardware-aware predictive execution, which helps to distribute computational workloads across different processing resources, and an outcome-based feedback mechanism, which helps to improve data acquisition, feature evolution, and causal constraints over time. The system and method described here offer a self-evolving, causality-driven predictive analytics framework that makes predictions more reliable, more efficient, and more scalable in dynamic and large-scale data environments. This is a clear technical improvement over traditional static analytics systems."
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