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PostBOUND: PostgreSQL with Upper Bound SPJ Query Optimization.

, , , , and . BTW, volume P-331 of LNI, page 283-304. Gesellschaft für Informatik e.V., (2023)

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Cardinality estimation with local deep learning models., , , , and . aiDM@SIGMOD, page 5:1-5:8. ACM, (2019)Simplicity Done Right for Join Ordering., , , and . CIDR, www.cidrdb.org, (2021)Accurate and Efficient Time Series Matching by Season- and Trend-aware Symbolic Approximation - Extended Version Including Additional Evaluation and Proofs., , , and . CoRR, (2021)CSAR: the cross-sectional autoregression model for short and long-range forecasting., , , , and . Int. J. Data Sci. Anal., 8 (2): 165-181 (2019)Investigating the Usage of Formulae in Mathematical Answer Retrieval., , , and . ECIR (1), volume 14608 of Lecture Notes in Computer Science, page 247-261. Springer, (2024)PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation., , , , and . Proc. VLDB Endow., 14 (12): 2715-2718 (2021)Ingredient-based Forecast of Sold Dish Portions in Campus Canteen Kitchens., , , and . ICDE Workshops, page 111-116. IEEE, (2022)Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections., , , and . Proc. VLDB Endow., 15 (11): 2706-2718 (2022)Aggregate-based Training Phase for ML-based Cardinality Estimation., , , and . BTW, volume P-311 of LNI, page 135-154. Gesellschaft für Informatik, Bonn, (2021)TAFT: A Transformer-Based Approach for Format Transformation., , , , and . DS (LB), volume 3928 of CEUR Workshop Proceedings, CEUR-WS.org, (2024)