Data-centric artificial intelligence: A survey

D Zha, ZP Bhat, KH Lai, F Yang, Z Jiang… - ACM Computing …, 2025 - dl.acm.org
Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler
of its great success is the availability of abundant and high-quality data for building machine …

Data-centric ai: Perspectives and challenges

D Zha, ZP Bhat, KH Lai, F Yang, X Hu - Proceedings of the 2023 SIAM …, 2023 - SIAM
The role of data in building AI systems has recently been significantly magnified by the
emerging concept of data-centric AI (DCAI), which advocates a fundamental shift from model …

Learned cardinalities: Estimating correlated joins with deep learning

A Kipf, T Kipf, B Radke, V Leis, P Boncz… - ar** the performance potential of systems via automatic configuration tuning
Y Zhu, J Liu, M Guo, Y Bao, W Ma, Z Liu… - Proceedings of the …, 2017 - dl.acm.org
An ever increasing number of configuration parameters are provided to system users. But
many users have used one configuration setting across different workloads, leaving …

Sagedb: A learned database system

T Kraska, M Alizadeh, A Beutel, EH Chi, J Ding… - 2021 - dspace.mit.edu
© 2019 Conference on Innovative Data Systems Research (CIDR). All rights reserved.
Modern data processing systems are designed to be general purpose, in that they can …

AI meets database: AI4DB and DB4AI

G Li, X Zhou, L Cao - Proceedings of the 2021 International Conference …, 2021 - dl.acm.org
Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …