2 papers
cs.DB2026
Clean Me If You Can: A Large Collection of Real-World Addresses for Data Cleaning Benchmarking
Fatemeh Ahmadi, Tobias Bernhard, Mohamed Abdelmaksoud +3
There has been extensive research on automating and scaling data cleaning, i.e., the detection and correction of erroneous values in tabular data. Yet, existing approaches often pe…
cs.DB2024
Evaluation of Dataframe Libraries for Data Preparation on a Single Machine
Angelo Mozzillo, Luca Zecchini, Luca Gagliardelli +3
Data preparation is a trial-and-error process that typically involves countless iterations over the data to define the best pipeline of operators for a given task. With tabular dat…