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  CardiO: Predicting Cardinality from Online Sources

Ghosh, S., Razniewski, S., Graux, D., & Weikum, G. (2024). CardiO: Predicting Cardinality from Online Sources. In T.-S. Chua, C.-W. Ngo, R.-K.-W. Lee, R. Kumar, & H. Lauw (Eds.), The ACM Web Conference 2024 (pp. 573-576). New York, NY: ACM. doi:10.1145/3589335.365147.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-13B6-E Version Permalink: https://hdl.handle.net/21.11116/0000-0010-878C-8
Genre: Conference Paper

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 Creators:
Ghosh, Shrestha1, Author           
Razniewski, Simon1, Author           
Graux, Damien2, Author
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20242024-05-13
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Ghosh_WWW2024
DOI: 10.1145/3589335.365147
 Degree: -

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Title: ACM Web Conference
Place of Event: Singapore
Start-/End Date: 2024-05-13 - 2024-05-17

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Title: The ACM Web Conference 2024
  Abbreviation : WWW 2024
  Other : WWW '24
  Subtitle : Companion of The World Wide Web Conference WWW 2024
Source Genre: Proceedings
 Creator(s):
Chua, Tat-Seng1, Editor
Ngo, Chong-Wah1, Editor
Lee, Roy Ka-Wei1, Editor
Kumar, Ravi1, Editor
Lauw, Hady1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 573 - 576 Identifier: ISBN: 979-8-4007-0172-6