MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202611109880 A) filed by Sri Sai Harish Anumala on September 13, 2026, for An Adaptive Distributed Data Processing System For Automated Data Quality Detection, Feature Reliability Scoring, And Model-Ready Dataset Generation.
Inventor includes Sri Sai Harish Anumala.
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 model-ready datasets. The system employs distributed ingestion nodes that generate compact partition fingerprints, a schema and context profiler that selects context-compatible reference profiles, and a quality anomaly detection engine that produces structured quality-event objects. A feature reliability scoring engine evaluates multiple evidence components including completeness stability, distribution stability, source integrity, temporal consistency and cross-partition agreement. An adaptive quality policy controller selects controlled remediation, transformation, quarantine, suppression or retention actions according to the detected event, reliability evidence and a versioned policy. A model-readiness validator evaluates processed data against a workload-specific readiness profile, while a lineage and decision trace ledger associates quality evidence, transformations and policy versions with generated dataset versions. Feedback from validation and downstream diagnostics is admitted through bounded guard conditions to adapt subsequent quality policies. The architecture thereby enables distributed, traceable and reproducible conversion of changing heterogeneous data into model-ready datasets while reducing unnecessary movement of raw data. Accompanied Drawing [FIGS. 1-2].
Disclaimer: Curated by HT Syndication.
