Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)-Reference-Cited by-同舟云学术

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Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM)

Published:2024-06-09 Issue: Volume:1 Page:649-650
ISSN:
Container-title:Companion of the 2024 International Conference on Management of Data
language:
Short-container-title:

Author:

Bordawekar Rajesh¹^ORCID,Shmueli Oded²^ORCID,Amsterdamer Yael³^ORCID,Borovica-Gajic Renata⁴^ORCID,Firmani Donatella⁵^ORCID

Affiliation:

1. IBM T.J. Watson Research Center, Yorktown Heights, NY, USA

2. Technion - Israel Institute of Technology, Haifa, Israel

3. Bar-Ilan University, Ramat Gan, Israel

4. The University of Melbourne, Melbourne, Australia

5. Sapienza University of Rome, Rome, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626246.3655013

Reference8 articles.

1. A comparative survey of recent natural language interfaces for databases

2. Hai Lan, Zhifeng Bao, J. Shane Culpepper, and Renata Borovica-Gajic. 2023. Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices. Proceedings of the ACM on Management of Data (SIGMOD), Vol. 1, 2 (2023), 139:1--139:22.

3. Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, and Tim Kraska. 2021. Bao: Making Learned Query Optimization Practical. In SIGMOD. 1275--1288.

4. Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions

5. No DBA? No Regret! Multi-Armed Bandits for Index Tuning of Analytical and HTAP Workloads With Provable Guarantees

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