Constrained Approximate Query Processing with Error and Response Time-Bound Guarantees for Efficient Big Data Analytics-Reference-Cited by-同舟云学术

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Constrained Approximate Query Processing with Error and Response Time-Bound Guarantees for Efficient Big Data Analytics

Published:2024-06-03 Issue: Volume: Page:373-376
ISSN:
Container-title:Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing
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Author:

Kim Sungsoo¹^ORCID,Park Choon Seo¹^ORCID,Lee Taewhi¹^ORCID,Nam Kihyuk¹^ORCID

Affiliation:

1. Electronics and Telecommunications Research Institute, Daejeon, Republic of Korea

Funder

Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625549.3658824

Reference7 articles.

1. BlinkDB

2. DeepDB

3. Flying KIWI

4. Sungsoo Kim, Taewhi Lee, Moonyoung Chung, and Jongho Won. 2016. Sweet KIWI: Statistics-Driven OLAP Acceleration using Query Column Sets. In Proceedings of the 19th International Conference on Extending Database Technology, EDBT 2016, Bordeaux, France, March 15--16, 2016. OpenProceedings.org, 680--681.

5. Taewhi Lee, Kihyuk Nam, Choon Seo Park, and Sungsoo Kim. 2022. Exploiting Machine Learning Models for Approximate Query Processing. In IEEE International Conference on Big Data, Big Data 2022, 2022. IEEE, 6752--6754.

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