MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202611112000 A) filed by Nikhil Eatalpacka on September 17, 2026, for Adaptive Distributed Data Processing System For Automated Data Quality Detection, Feature Reliability Scoring, Dataset Degeneration Analysis, And Model Adaptation.
Inventor includes Nikhil Eatalpacka.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: An adaptive distributed data processing system is disclosed for automated data quality detection, feature reliability scoring, dataset degeneration analysis, data conditioning, and model adaptation. Heterogeneous data is partitioned across processing nodes that generate quality and profile evidence associated with respective partitions. A feature reliability scoring engine derives feature-specific reliability values from quality, lineage, temporal, cross-partition, and stability measures. A dataset degeneration analyzer compares current data states with reference states to identify progressive loss of useful information. An adaptive remediation engine selects acceptance, weighting, quarantine, reconstruction, substitution, transformation, or other conditioning actions according to reliability and degeneration evidence. A model engine trains, updates, or selects a data-driven model using conditioned data, and a model reliability evaluator supplies outcome signals to a feedback controller. The controller adapts subsequent scoring, threshold, partitioning, or remediation policies while a registry retains versioned lineage linking evidence, actions, and model versions. Accompanied Drawing [FIGS. 1-2].
Disclaimer: Curated by HT Syndication.
