A Statistical Perspective on Discovering Functional Dependencies in Noisy Data

Research article (Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020) · cited 40× · AI/ML
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A Statistical Perspective on Discovering Functional Dependencies in Noisy Data

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A Statistical Perspective on Discovering Functional Dependencies in Noisy Data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Statistical Perspective on Discovering Functional Dependencies in Noisy Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-statistical-perspective-on-discovering-functional-dependencies-in-noisy-data
MLA “A Statistical Perspective on Discovering Functional Dependencies in Noisy Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-statistical-perspective-on-discovering-functional-dependencies-in-noisy-data.
BibTeX @misc{4ortxyz_a-statistical-perspective-on-discovering-functional-dependencies-in-noisy-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Statistical Perspective on Discovering Functional Dependencies in Noisy Data}}, year = {2026}, url = {https://4ort.xyz/entity/a-statistical-perspective-on-discovering-functional-dependencies-in-noisy-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Statistical Perspective on Discovering Functional Dependencies in Noisy Data — https://4ort.xyz/entity/a-statistical-perspective-on-discovering-functional-dependencies-in-noisy-data (retrieved 2026-05-24)

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