MUMBAI, India, Oct. 12 -- Intellectual Property India has published a patent application (202611115952 A) filed by Rudraprasad Ammanaghatta Shivananda on September 28, 2026, for An Adaptive Distributed Data Processing System And Method For Data Quality Detection, Feature Reliability Scoring And Generation Of Model-Ready Datasets.
Inventor includes Rudraprasad Ammanaghatta Shivananda.
The application for the patent was published on October 09, 2026, under issue no. 41/2026.
Abstract: [056] An adaptive distributed data processing system (100) and method generate model-ready datasets from heterogeneous sources using partition-aware validation and evidence-linked feature reliability. An ingress controller (104) generates versioned partition fingerprints, while distributed workers (106) execute validation probes selected according to partition changes, defect history and available resources. Defect evidence is associated with a directed provenance graph, and a reliability engine (112) determines feature-specific reliability with coverage and freshness indicators. A recomputation controller (114) identifies affected dependencies and selectively rebuilds modified features while reusing unaffected partitions. A dataset assembler (116) verifies compatible feature versions, validation coverage and quarantine status before atomically publishing an immutable release manifest. The architecture supports consistent dataset release during concurrent ingestion and can reduce redundant scans, recomputation and inter-node data transfer. Accompanied Drawing [FIGS. 1-2].
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