Opportunistic physical design for big data analytics

Author:

LeFevre Jeff1,Sankaranarayanan Jagan2,Hacigumus Hakan2,Tatemura Junichi2,Polyzotis Neoklis1,Carey Michael J.3

Affiliation:

1. University of California, Santa Cruz, Santa Cruz, CA, USA

2. NEC Labs America, Cupertino, CA, USA

3. University of California, Irvine, Irvine, CA, USA

Funder

NEC Foundation of America

Division of Information and Intelligent Systems

Publisher

ACM

Reference29 articles.

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. HYPPO: Using Equivalences to Optimize Pipelines in Exploratory Machine Learning;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Raven;Proceedings of the Workshop on Human-In-the-Loop Data Analytics;2023-06-18

3. Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning;Companion of the 2023 International Conference on Management of Data;2023-06-04

4. Flatfish: A Reinforcement Learning Approach for Application-Aware Address Mapping;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2022-11

5. Recursive SQL and GPU-support for in-database machine learning;Distributed and Parallel Databases;2022-07-09

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