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cs.DB2025
Towards Next Generation Data Engineering Pipelines
Kevin M. Kramer, Valerie Restat, Sebastian Strasser +2
Data engineering pipelines are a widespread way to provide high-quality data for all kinds of data science applications. However, numerous challenges still remain in the compositio…
cs.DB2025
Data Cleaning of Data Streams
Valerie Restat, Niklas Rodenhausen, Carina Antonin +1
Streaming data can arise from a variety of contexts. Important use cases are continuous sensor measurements such as temperature, light or radiation values. In the process, streamin…
cs.DB2025
MVIAnalyzer: A Holistic Approach to Analyze Missing Value Imputation
Valerie Restat, Kai Tejkl, Uta Störl
Missing values often limit the usage of data analysis or cause falsification of results. Therefore, methods of missing value imputation (MVI) are of great significance. However, in…