29 citations · 29 across the 1 of their papers we have counts for
2 papers
cs.LG2025
Learning Over Dirty Data with Minimal Repairs
Cheng Zhen, Prayoga, Nischal Aryal +3
Missing data often exists in real-world datasets, requiring significant time and effort for data repair to learn accurate models. In this paper, we show that imputing all missing v…
cs.DB2021★ 29 cited
A Survey on Data Cleaning Methods for Improved Machine Learning Model Performance
Ga Young Lee, Lubna Alzamil, Bakhtiyar Doskenov +1
Data cleaning is the initial stage of any machine learning project and is one of the most critical processes in data analysis. It is a critical step in ensuring that the dataset is…