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 …

Data Cleaning is a subfield of Data Mining that is thriving in the recent years. Ensuring the
reliability of data, either when generated or received, is of vital importance to provide the …

Pioneering data profiling systems such as Metanome and OpenClean brought public
attention to science-intensive data profiling. This type of profiling aims to extract complex …

Data profiling is an essential process in modern data-driven industries. One of its critical
components is the discovery and validation of complex statistics, including functional …

Lakehouse systems have reached in the past few years unprecedented size and
heterogeneity and have been embraced by many industry players. However, they are often …

We are witnessing a paradigm shift in machine learning (ML) and artificial intelligence (AI)
from a focus primarily on innovating ML models, the model-centric paradigm, to prioritising …

The ongoing generation of data has led to the development of various approaches to
produce reliable and accurate data products. However, standardizing data cleaning and …