MUMBAI, India, Oct. 12 -- Intellectual Property India has published a patent application (202611115622 A) filed by Anshul Bakode on September 26, 2026, for An Adaptive Distributed Data Processing System And Method For Automated Data Quality Assessment, Feature Reliability Scoring And Generation Of Model-Ready Datasets.
Inventor includes Anshul Bakode.
The application for the patent was published on October 09, 2026, under issue no. 41/2026.
Abstract: An adaptive distributed data processing system (100) and method (200) are disclosed for automated data-quality assessment, feature reliability scoring, and generation of model-ready datasets. Heterogeneous records are assigned to schema-versioned partitions and examined by distributed worker nodes (106), which produce mergeable quality-evidence sketches containing defect metrics and uncertainty information. An aggregator (108) combines the sketches, and an adaptive controller (110) selectively allocates additional validation according to cross-partition variation and evidence uncertainty. A feature reliability engine (112) determines context- dependent reliability scores and separate evidence-confidence values for candidate features. A remediation engine (114) performs policy-authorised transformations while retaining lineage. A dataset assembly engine (116) publishes admitted features in a model-ready dataset associated with a versioned quality manifest recording input snapshots, validation policies, feature decisions, and transformation versions. Accompanied Drawing [FIGS. 1-2].
Disclaimer: Curated by HT Syndication.
