Examples are All You Need: Iterative Data Discovery by Example in Data Lakes

Summary: DICE: iterative, example-driven discovery over schema-poor heterogeneous data lakes using only a few exemplar records—no query language or schema knowledge required. User-in-the-loop refinement resolves intent ambiguity and yields interactive, approximate results. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 437
Venue: CIDR
Year: 2022
Pagerank: -
Overall Rank: 13,201 | 8.17%
DOI: -

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Rank	Cited Paper	Year	Venue	Pagerank
7,303	DICE: Data Discovery by Example	2021	VLDB	4.7684686e-05

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