29 citations · 29 across the 1 of their papers we have counts for
2 papers
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…
cs.DB2020
Learning Over Dirty Data Without Cleaning
Jose Picado, John Davis, Arash Termehchy +1
Real-world datasets are dirty and contain many errors. Examples of these issues are violations of integrity constraints, duplicates, and inconsistencies in representing data values…