MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202611110434 A) filed by Sagar Gupta on September 15, 2026, for An Adaptive Distributed Data Processing System For Automated Data Quality Detection, Feature Reliability Scoring And Model-Ready Dataset Generation.
Inventor includes Sagar Gupta.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: An adaptive distributed data processing system is disclosed for automated data quality detection, feature reliability scoring and generation of a model-ready dataset. Data from heterogeneous sources is partitioned among worker nodes that generate local quality evidence. A quality detection engine derives multidimensional quality signatures, and a feature reliability scoring engine determines feature-specific reliability using quality dimensions, detection confidence and cross-partition disagreement. An adaptive remediation engine selects remediation operations according to expected reliability gain and remediation confidence, after which affected features are re-profiled. A transformation orchestration engine executes an ordered transformation graph and stores a versioned transformation manifest containing parameters and lineage. A validation engine verifies transformed data and an adaptation controller selectively modifies subsequent thresholds, scoring weights, remediation policies or partition assignments in response to drift or validation failure. A model-ready dataset generator releases data satisfying reliability and validation criteria together with provenance information. Accompanied Drawing [FIGS. 1-2].
Disclaimer: Curated by HT Syndication.
