Lucas Woltmann

According to our database, Lucas Woltmann authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Local Learning Strategies for Data Management Components.

Lucas Woltmann

PhD thesis, 2023

FASTgres: Making Learned Query Optimizer Hinting Effective.

Lucas Woltmann, Jerome Thiessat, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Proc. VLDB Endow., 2023

Learned Selection Strategy for Lightweight Integer Compression Algorithms.

Lucas Woltmann, Patrick Damme, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Enhanced Featurization of Queries with Mixed Combinations of Predicates for ML-based Cardinality Estimation.

Magnus Müller, Lucas Woltmann, Wolfgang Lehner

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

JumpXClass: Explainable AI for Jump Classification in Trampoline Sports.

Lucas Woltmann, Katja Ferger, Claudio Hartmann, Wolfgang Lehner

Proceedings of the Datenbanksysteme für Business, 2023

Optimizing Query Processing in PostgreSQL Through Learned Optimizer Hints.

Jerome Thiessat, Lucas Woltmann, Claudio Hartmann, Dirk Habich

Proceedings of the Datenbanksysteme für Business, 2023

2022

Data Science Meets High-Tech Manufacturing - The BTW 2021 Data Science Challenge.

Lucas Woltmann, Peter Benjamin Volk, Michael Dinzinger, Lukas Gräf, Sebastian Strasser, Johannes Schildgen, Claudio Hartmann, Wolfgang Lehner

Datenbank-Spektrum, 2022

Aggregate-based Training Phase for ML-based Cardinality Estimation.

Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Datenbank-Spektrum, 2022

Ingredient-based Forecast of Sold Dish Portions in Campus Canteen Kitchens.

Lucas Woltmann, Jonathan Drechsel, Claudio Hartmann, Wolfgang Lehner

Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

2021

PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation.

Lucas Woltmann, Dominik Olwig, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Proc. VLDB Endow., 2021

2020

Machine Learning-based Cardinality Estimation in DBMS on Pre-Aggregated Data.

Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

CoRR, 2020

Best of both worlds: combining traditional and machine learning models for cardinality estimation.

Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner

Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2020

2019

Particulate Matter Matters - The Data Science Challenge @ BTW 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

Datenbank-Spektrum, 2019

Cardinality estimation with local deep learning models.

Lucas Woltmann, Claudio Hartmann, Maik Thiele, Dirk Habich, Wolfgang Lehner

Proceedings of the Second International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2019

Assessing the Impact of Driving Bans with Data Analysis.

Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner

Proceedings of the Datenbanksysteme für Business, 2019

2018

Modeling Customers and Products with Word Embeddings from Receipt Data.

Lucas Woltmann, Maik Thiele, Wolfgang Lehner

Proceedings of the 22nd International Database Engineering & Applications Symposium, 2018

2017

Multi-source data collection for state-of-the-art data analysis from ground-proximate images in sea ice classification.

Lucas Woltmann, Rune Dalmo, Raymond Kristiansen

Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017