SubTab: Data Exploration with Informative Sub-Tables

Kathy Razmadze; Yael Amsterdamer; Amit Somech; Susan B. Davidson; Tova Milo

doi:10.1145/3514221.3520154

SubTab: Data Exploration with Informative Sub-Tables

Kathy Razmadze, Yael Amsterdamer, Amit Somech, Susan B. Davidson, Tova Milo

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

We demonstrate SubTab, a framework for creating small, informative sub-tables of large data tables to speed up data exploration. Given a table with n rows and m columns where n and m are large, SubTab creates a sub-table T_sub with k<n rows and l<m columns, i.e. a subset of k rows of the table projected over a subset of l columns. The rows and columns are chosen as representatives of prominent data patterns within and across columns in the input table. SubTab can also be used for query results, enabling the user to quickly understand the results and determine subsequent queries.

Original language	English
Title of host publication	SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data
Publisher	Association for Computing Machinery
Pages	2369-2372
Number of pages	4
ISBN (Electronic)	9781450392495
DOIs	https://doi.org/10.1145/3514221.3520154
State	Published - 10 Jun 2022
Event	2022 ACM SIGMOD International Conference on the Management of Data, SIGMOD 2022 - Virtual, Online, United States Duration: 12 Jun 2022 → 17 Jun 2022

Publication series

Name	Proceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)	0730-8078

Conference

Conference	2022 ACM SIGMOD International Conference on the Management of Data, SIGMOD 2022
Country/Territory	United States
City	Virtual, Online
Period	12/06/22 → 17/06/22

Bibliographical note

Publisher Copyright:
© 2022 ACM.

Funding

This research was partly supported by the Israel Science Foundation (grants No. 639/17 and 2015/21), a grant from the Israel Ministry of Science and Technology, BSF - the Binational US-Israel Science foundation, Tel Aviv University Data Science center, and the Mortimer and Raymond Sackler Institute of Advanced Studies.

Funders	Funder number
Mortimer and Raymond Sackler Institute of Advanced Studies
United States-Israel Binational Science Foundation
Israel Science Foundation	2015/21, 639/17
Tel Aviv University
Ministry of science and technology, Israel

Keywords

data analysis
data exploration

Access to Document

10.1145/3514221.3520154

Cite this

Razmadze, K., Amsterdamer, Y., Somech, A., Davidson, S. B., & Milo, T. (2022). SubTab: Data Exploration with Informative Sub-Tables. In SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data (pp. 2369-2372). (Proceedings of the ACM SIGMOD International Conference on Management of Data). Association for Computing Machinery. https://doi.org/10.1145/3514221.3520154

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author = "Kathy Razmadze and Yael Amsterdamer and Amit Somech and Davidson, {Susan B.} and Tova Milo",

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Razmadze, K, Amsterdamer, Y , Somech, A, Davidson, SB & Milo, T 2022, SubTab: Data Exploration with Informative Sub-Tables. in SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data. Proceedings of the ACM SIGMOD International Conference on Management of Data, Association for Computing Machinery, pp. 2369-2372, 2022 ACM SIGMOD International Conference on the Management of Data, SIGMOD 2022, Virtual, Online, United States, 12/06/22. https://doi.org/10.1145/3514221.3520154

SubTab: Data Exploration with Informative Sub-Tables. / Razmadze, Kathy; Amsterdamer, Yael ; Somech, Amit et al.
SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data. Association for Computing Machinery, 2022. p. 2369-2372 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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SubTab: Data Exploration with Informative Sub-Tables

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

Access to Document

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Cite this