Efficient Learning with Pseudo Labels for Query Cost Estimation

Author:

Liu Shuncheng1,Chen Xu1,Zhao Yan2,Chen Jin1,Zhou Rui3,Zheng Kai1

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, China

2. Aalborg University, Aalborg, Denmark

3. Huawei Technologies Co., Ltd., Chengdu, China

Funder

Shenzhen Municipal Science and Technology R&D Funding Basic Research Program

National Natural Science Foundation of China

Publisher

ACM

Reference48 articles.

1. Rich Caruana Steve Lawrence and Lee Giles. 2000. Overfitting in Neural Nets: Backpropagation Conjugate Gradient and Early Stopping. In NIPS. 381--387. Rich Caruana Steve Lawrence and Lee Giles. 2000. Overfitting in Neural Nets: Backpropagation Conjugate Gradient and Early Stopping. In NIPS. 381--387.

2. Efficient Join Order Selection Learning with Graph-based Representation

3. Mean shift: a robust approach toward feature space analysis

4. NTT OSS Center DBMS Development and Support Team. 2022. Github repository: pg_hint_plan. https://github.com/ossc-db/pg_hint_plan NTT OSS Center DBMS Development and Support Team. 2022. Github repository: pg_hint_plan. https://github.com/ossc-db/pg_hint_plan

5. Performance prediction for concurrent database workloads

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2. QCFE: An Efficient Feature Engineering for Query Cost Estimation;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

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