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SubTab: Data Exploration with Informative Sub-Tables

Summary: SubTab creates small, informative sub-tables (k rows, l columns) from big tables to speed data exploration. It selects representative rows and columns that capture prominent patterns within and across columns to quickly interpret results and guide subsequent queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6432
Venue
SIGMOD
Year
2022
Pagerank
5.2687297e-05
Overall Rank
9,438 | 35.25%
DOI
10.1145/3514221.3520154

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{razmadze_sigmod22,
        title = {{SubTab: Data Exploration with Informative Sub-Tables}},
        author = {Razmadze, Kathy and Amsterdamer, Yael and Somech, Amit and Davidson, Susan B. and Milo, Tova},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3520154},
        url = {https://dl.acm.org/doi/10.1145/3514221.3520154},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
7,501 TableDC: Deep Clustering for Tabular Data 2025 SIGMOD 5.6029996e-05
8,888 TabEE: Tabular Embeddings Explanations 2024 SIGMOD 5.3512451e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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