Approximate Query Answering over Open Data-Reference-Cited by-同舟云学术

Approximate Query Answering over Open Data

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Workshop on Human-In-the-Loop Data Analytics
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Author:

Zhang Mengqi¹^ORCID,Mundra Pranay¹^ORCID,Chikweze Chukwubuikem¹^ORCID,Nargesian Fatemeh¹^ORCID,Weikum Gerhard²^ORCID

Affiliation:

1. University of Rochester

2. Max Planck Institute

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3597465.3605227

Reference26 articles.

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2. Multiple Imputation for Missing Data

3. Brian Babcock Surajit Chaudhuri and Gautam Das. 2003. Dynamic Sample Selection for Approximate Query Processing. In SIGMOD. 539--550. Brian Babcock Surajit Chaudhuri and Gautam Das. 2003. Dynamic Sample Selection for Approximate Query Processing. In SIGMOD. 539--550.

4. Parikshit Bansal , Prathamesh Deshpande , and Sunita Sarawagi . 2021. Missing value imputation on multidimensional time series. arXiv preprint arXiv:2103.01600 ( 2021 ). Parikshit Bansal, Prathamesh Deshpande, and Sunita Sarawagi. 2021. Missing value imputation on multidimensional time series. arXiv preprint arXiv:2103.01600 (2021).

5. Dan Brickley , Matthew Burgess , and Natasha F . Noy . 2019 . Google Dataset Search: Building a search engine for datasets in an open Web ecosystem. In WWW. 1365--1375. Dan Brickley, Matthew Burgess, and Natasha F. Noy. 2019. Google Dataset Search: Building a search engine for datasets in an open Web ecosystem. In WWW. 1365--1375.