Valerie Restat

According to our database, Valerie Restat authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

FONDUE - Fine-Tuned Optimization: Nurturing Data Usability & Efficiency.

Valerie Restat, Indra Diestelkämper, Meike Klettke, Uta Störl

J. Big Data, December, 2025

Data Cleaning of Data Streams.

Valerie Restat, Niklas Rodenhausen, Carina Antonin, Uta Störl

CoRR, July, 2025

MVIAnalyzer: A Holistic Approach to Analyze Missing Value Imputation.

Valerie Restat, Kai Tejkl, Uta Störl

CoRR, July, 2025

Towards Next Generation Data Engineering Pipelines.

Kevin M. Kramer, Valerie Restat, Sebastian Strasser, Uta Störl, Meike Klettke

CoRR, July, 2025

ALPINE: Abstract Language for Pipeline Integration and Execution.

Valerie Restat, Uta Störl

Proceedings of the Datenbanksysteme für Business, 2025

CheDDaR: Checking Data - Data Quality Report.

Indra Diestelkämper, Ralf Diestelkämper, Valerie Restat

Proceedings of the Datenbanksysteme für Business, 2025

2024

Towards an End-to-End Data Quality Optimizer.

Valerie Restat, Meike Klettke, Uta Störl

Proceedings of the 40th International Conference on Data Engineering, ICDE 2024, 2024

Quantum versus Classical Computation: Automatic Decision-Making Approaches.

Markus Zajac, Valerie Restat, Uta Störl

Proceedings of the 54. Jahrestagung der Gesellschaft für Informatik, 2024

2023

Towards "all-inclusive" Data Preparation to ensure Data Quality.

Valerie Restat

CoRR, 2023

FAIR is not enough - A Metrics Framework to ensure Data Quality through Data Preparation.

Valerie Restat, Meike Klettke, Uta Störl

Proceedings of the Datenbanksysteme für Business, 2023

2022

Towards a Holistic Data Preparation Tool.

Valerie Restat, Meike Klettke, Uta Störl

Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, 2022

GouDa - generation of universal data sets: improving analysis and evaluation of data preparation pipelines.

Valerie Restat, Gerrit Boerner, André Conrad, Uta Störl

Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022