Using Deep Learning Models to Replace Large Materialized Views in Relational Database
Summary: Train deep models to map source table cells (by attributes/row keys) to positions in a view and serve inference instead of materializing large join outputs. Recasts view queries as GPU-accelerated inference, trading storage for model size/accuracy. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jia Zou
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