Data cleaning and machine learning: a systematic literature review
Abstract Machine Learning (ML) is integrated into a growing number of systems for various
applications. Because the performance of an ML model is highly dependent on the quality of …
applications. Because the performance of an ML model is highly dependent on the quality of …
Tabreformer: unsupervised representation learning for erroneous data detection
Error detection is a crucial preliminary phase in any data analytics pipeline. Existing error
detection techniques typically target specific types of errors. Moreover, most of these …
detection techniques typically target specific types of errors. Moreover, most of these …