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cs.DB2026
Towards Practical Benchmarking of Data Cleaning Techniques: On Generating Authentic Errors via Large Language Models
Xinyuan Liu, Jiahui Chen, Bocheng Hu +4
Data quality remains an important challenge in data-driven systems, as errors in tabular data can severely compromise downstream analytics and machine learning performance. Althoug…
cs.DB2025
Sync Without Guesswork: Incomplete Time Series Alignment
Ding Jia, Jingyu Zhu, Yu Sun +4
Multivariate time series alignment is critical for ensuring coherent analysis across variables, but missing values and timestamp inconsistencies make this task highly challenging.…