116 citations · 145 across the 5 of their papers we have counts for
6 papers
Deep Clustering for Data Cleaning and Integration
Hafiz Tayyab Rauf, Andre Freitas, Norman W. Paton
Deep Learning (DL) techniques now constitute the state-of-the-art for important problems in areas such as text and image processing, and there have been impactful results that depl…
Towards Schema Inference for Data Lakes
Nour Alhammad, Alex Bogatu, Norman W Paton
A data lake is a repository of data with potential for future analysis. However, both discovering what data is in a data lake and exploring related data sets can take significant e…
Dataset Discovery in Data Lakes
Alex Bogatu, Alvaro A. A. Fernandes, Norman W. Paton +1
Data analytics stands to benefit from the increasing availability of datasets that are held without their conceptual relationships being explicitly known. When collected, these dat…
Cost-effective Variational Active Entity Resolution
Alex Bogatu, Norman W. Paton, Mark Douthwaite +2
Accurately identifying different representations of the same real-world entity is an integral part of data cleaning and many methods have been proposed to accomplish it. The challe…
Holding a Conference Online and Live due to COVID-19
Angela Bonifati, Giovanna Guerrini, Carsten Lutz +6
The joint EDBT/ICDT conference (International Conference on Extending Database Technology/International Conference on Database Theory) is a well established conference series on da…
Data Context Informed Data Wrangling
Martin Koehler, Alex Bogatu, Cristina Civili +6
The process of preparing potentially large and complex data sets for further analysis or manual examination is often called data wrangling. In classical warehousing environments, t…