13 Dez LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries
M Aytimur, S Reiner, L Wörteler, T Chondrogiannis, M Grossniklaus
Proceedings of the ACM on Management of Data, 2024
Abstract: Cardinality estimation is an important step in cost-based database query optimization. The accuracy of the estimates directly affects the ability of an optimizer to identify the most...
13 Dez A Data Model and Predicate Logic for Trajectory Data.
J Bornholdt, T Chondrogiannis, M Grossniklaus | arXiv preprint arXiv:2407.03112, 2024
Abstract: With recent sensor and tracking technology advances, the volume of available trajectory data is steadily increasing. Consequently, managing and analyzing trajectory data has seen significant interest from the research community. The challenges presented by...
13 Dez Sample-Efficient Cardinality Estimation Using Geometric Deep Learning
S Reiner, M Grossniklaus | 2023
Abstract: In database systems, accurate cardinality estimation is a cornerstone of effective query optimization. In this context, estimators that use machine learning have shown significant promise. Despite their potential, the effectiveness of these learned estimators strongly depends on their ability...
13 Dez Highway Systems: How Good are They, Really?
T Chondrogiannis, M Grossniklaus
Proceedings of the 18th International Symposium on Spatial and Temporal Data, 2023
Abstract: Highways play a crucial role in transportation services as they facilitate long-distance traveling and allow driving at an almost constant speed, thus resulting in lower fuel consumption and emissions. Many...
13 Dez Memory Footprint Reduction of Cloud Databases with Automated Table Partitioning
Brendle, M., Weber, N., Vallyev, M., May, N., Schulze, R., Böhm, A., ...
13 Dez Cardinality Estimation using Label Probability Propagation for Subgraph Matching in Property Graph Databases
L Wörteler, M Renftle, T Chondrogiannis, M Grossniklaus | 2022
Abstract: Estimating query result cardinality is a central task of cost-based database query optimizers, enabling them to identify and avoid excessively large intermediate results. While cardinality estimation has been studied extensively in relational databases, research in...
13 Dez History oblivious route recovery on road networks
T Chondrogiannis, J Bornholdt, P Bouros, M Grossniklaus | Proceedings of the 30th International Conference on Advances in Geographic …, 2022
Abstract: The availability of GPS sensors in vehicles has enabled the collection of trajectory data that can be utilized to improve the quality of location-based...
13 Dez Online Landmark-Based Batch Processing of Shortest Path Queries
M Hotz, T Chondrogiannis, L Wörteler, M Grossniklaus - Proceedings of the 33rd International Conference on Scientific and …, 2021
Abstract: Processing shortest path queries is a basic operation in many graph problems. Both preprocessing-based and batch processing techniques have been proposed to speed up the...