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COUNTATA: Dataset Labeling Using Pattern Counts

Summary: Countata introduces a label-based compact summary of attribute-pattern counts to estimate multi-attribute frequencies without enumerating all combinations. It defines an estimation function mapping labels to counts, analyzes the label-size and error trade-off, and demonstrates the prototype on real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12140
Venue
VLDB
Year
2020
Pagerank
-
Overall Rank
13,282 | 7.60%
DOI
10.14778/3415478.3415486

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