3 papers
cs.DB2025
The Effects of Data Quality on Machine Learning Performance on Tabular Data
Sedir Mohammed, Lukas Budach, Moritz Feuerpfeil +6
Modern artificial intelligence (AI) applications require large quantities of training and test data. This need creates critical challenges not only concerning the availability of s…
cs.DB2025
Step-by-Step Data Cleaning Recommendations to Improve ML Prediction Accuracy
Sedir Mohammed, Felix Naumann, Hazar Harmouch
Data quality is crucial in machine learning (ML) applications, as errors in the data can significantly impact the prediction accuracy of the underlying ML model. Therefore, data cl…
cs.DB2024
Data Quality Assessment: Challenges and Opportunities
Sedir Mohammed, Lisa Ehrlinger, Hazar Harmouch +2
Data-oriented applications, their users, and even the law require data of high quality. Research has divided the rather vague notion of data quality into various dimensions, such a…