Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation

Research article (Proceedings of the ACM on Management of Data, 2023) · cited 21× · AI/ML
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Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation

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Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/speeding-up-end-to-end-query-execution-via-learning-based-progressive-cardinality-estimation
MLA “Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/speeding-up-end-to-end-query-execution-via-learning-based-progressive-cardinality-estimation.
BibTeX @misc{4ortxyz_speeding-up-end-to-end-query-execution-via-learning-based-progressive-cardinality-estimation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation}}, year = {2026}, url = {https://4ort.xyz/entity/speeding-up-end-to-end-query-execution-via-learning-based-progressive-cardinality-estimation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation — https://4ort.xyz/entity/speeding-up-end-to-end-query-execution-via-learning-based-progressive-cardinality-estimation (retrieved 2026-05-24)

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