SQL QueRIE recommendations
Author:
Affiliation:
1. San Jose State Univ.
2. Univ. of California, Riverside
3. Univ. of California, Santa Cruz
Publisher
VLDB Endowment
Subject
General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development
Link
https://dl.acm.org/doi/pdf/10.14778/1920841.1921048
Cited by 26 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. Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations;Proceedings of the ACM on Management of Data;2024-05-29
2. TranSQL: A Transformer-based Model for Classifying SQL Queries;2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA);2022-12
3. "What makes my queries slow?": Subgroup Discovery for SQL Workload Analysis;2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE);2021-11
4. On the Usefulness of SQL-Query-Similarity Measures to Find User Interests;IEEE Transactions on Knowledge and Data Engineering;2020-10-01
5. Search-by-example over SQL repositories using structural and intent-driven similarity;Data & Knowledge Engineering;2020-07
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