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Learned Cardinality Estimation: An In-depth Study

Research article (Proceedings of the 2022 International Conference on Management of Data, 2022) · cited 44× · AI/ML
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Authored by 5
In Seo, Jaehyok Chong, Kang-Woo Choi, Kyoungmin Kim, Wook-Shin Han
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In Seo, Jaehyok Chong, Kang-Woo Choi, Kyoungmin Kim, Wook-Shin Han
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Learned Cardinality Estimation: An In-depth Study is a scholarly article[1].

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Learned Cardinality Estimation: An In-depth Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/learned-cardinality-estimation-an-in-depth-study
MLA “Learned Cardinality Estimation: An In-depth Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learned-cardinality-estimation-an-in-depth-study.
BibTeX @misc{4ortxyz_learned-cardinality-estimation-an-in-depth-study_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learned Cardinality Estimation: An In-depth Study}}, year = {2026}, url = {https://4ort.xyz/entity/learned-cardinality-estimation-an-in-depth-study}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learned Cardinality Estimation: An In-depth Study — https://4ort.xyz/entity/learned-cardinality-estimation-an-in-depth-study (retrieved 2026-05-24)

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