MetaJoin: Adaptive Join Selections for Heterogeneous Tables

Name: MetaJoin: Adaptive Join Selections for Heterogeneous Tables
Uploaded: 2026-10-15T22:20:45.057735+00:00
Duration: 273 s
Description: MetaJoin uses reinforcement learning to adaptively select join strategies for heterogeneous tables. It learns and reuses transformation sequences across different join tasks by modeling operator selection as a Markov Decision Process. This approach optimizes similarity and distinctiveness simultaneously, leading to more accurate and efficient join discovery.

MetaJoin uses reinforcement learning to adaptively select join strategies for heterogeneous tables. It learns and reuses transformation sequences across different join tasks by modeling operator selection as a Markov Decision Process. This approach optimizes similarity and distinctiveness simultaneously, leading to more accurate and efficient join discovery.

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