Lucas Woltmann

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Learning Models

Cardinality Estimation

Query Optimizers

Top Venues

Datenbank-Spektrum

Proc. VLDB Endow.

Publications

Lucas Woltmann, Jerome Thiessat, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
FASTgres: Making Learned Query Optimizer Hinting Effective. Proc. VLDB Endow. 16 (11) (2023)
Lucas Woltmann, Katja Ferger, Claudio Hartmann, Wolfgang Lehner
JumpXClass: Explainable AI for Jump Classification in Trampoline Sports. BTW (2023)
Jerome Thiessat, Lucas Woltmann, Claudio Hartmann, Dirk Habich
Optimizing Query Processing in PostgreSQL Through Learned Optimizer Hints. BTW (2023)
Lucas Woltmann, Patrick Damme, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
Learned Selection Strategy for Lightweight Integer Compression Algorithms. EDBT (2023)
Lucas Woltmann, Jonathan Drechsel, Claudio Hartmann, Wolfgang Lehner
Ingredient-based Forecast of Sold Dish Portions in Campus Canteen Kitchens. ICDE Workshops (2022)
Magnus Müller, Lucas Woltmann, Wolfgang Lehner
Enhanced Featurization of Queries with Mixed Combinations of Predicates for ML-based Cardinality Estimation. EDBT (2022)
Lucas Woltmann, Peter Benjamin Volk, Michael Dinzinger, Lukas Gräf, Sebastian Strasser, Johannes Schildgen, Claudio Hartmann, Wolfgang Lehner
Data Science Meets High-Tech Manufacturing - The BTW 2021 Data Science Challenge. Datenbank-Spektrum 22 (1) (2022)
Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
Aggregate-based Training Phase for ML-based Cardinality Estimation. Datenbank-Spektrum 22 (1) (2022)
Lucas Woltmann, Dominik Olwig, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation. Proc. VLDB Endow. 14 (12) (2021)
Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
Aggregate-based Training Phase for ML-based Cardinality Estimation. BTW (2021)
Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
Machine Learning-based Cardinality Estimation in DBMS on Pre-Aggregated Data. CoRR (2020)
Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner
Best of both worlds: combining traditional and machine learning models for cardinality estimation. aiDM@SIGMOD (2020)
Lucas Woltmann, Claudio Hartmann, Maik Thiele, Dirk Habich, Wolfgang Lehner
Cardinality estimation with local deep learning models. aiDM@SIGMOD (2019)
Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner
Assessing the Impact of Driving Bans with Data Analysis. BTW (Workshops) (2019)
Holger J. Meyer, Hannes Grunert, Tim Waizenegger, Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner, Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Ariane Ziehn, Tilmann Rabl, Volker Markl, Christian Schmitz, Dhiren Devinder Serai, Tatiane Escobar Gava
Particulate Matter Matters - The Data Science Challenge @ BTW 2019. Datenbank-Spektrum 19 (3) (2019)
Lucas Woltmann, Maik Thiele, Wolfgang Lehner
Modeling Customers and Products with Word Embeddings from Receipt Data. IDEAS (2018)
Lucas Woltmann, Rune Dalmo, Raymond Kristiansen
Multi-source data collection for state-of-the-art data analysis from ground-proximate images in sea ice classification. ISIE (2017)